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So if I'm specifying a loss for a layer but I also specified a loss in the compile method of the overall model, how do the two integrate with one another?
r/tensorflow
comment
r/tensorflow
2024-05-15
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r/ethtrader
post
r/ethtrader
2024-05-15
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To be completely honest, I have no idea who this dude is, but it seemed interesting since Ilya just left. [Jan Leike on X: "I resigned" / X (twitter.com)](https://twitter.com/janleike/status/1790603862132596961) What do you think is going on at OpenAI?
r/openai
post
r/OpenAI
2024-05-15
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Not sure where to go now. Has been my savior for.. years? Is there any way to buy monero besides pricy bitcoin cake wallet exchanges now in NYC?
r/monero
post
r/Monero
2024-05-15
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r/cryptomarkets
post
r/CryptoMarkets
2024-05-15
Z0FBQUFBQm0wR3Jpb0h6MlBwcl8wbHpvcEdwLV9ENU9sZ3hiWkdHOTlnR2tGZTR3YVZCajd1VW1CNE15Ql9LX1ZIaThTZlpMT1EyMy1GSS1YSUR0UFVyaDY5NVF6NDhpTWc9PQ==
Z0FBQUFBQm0wR3JoVEpiRXFMTWNuUWFKZlJWZGdjY2VfTzhUOGVHWDViOUl3S1FPM3FCNkdsb0hZajMzeW1KMllRLU82T3N0YzJNUXVJYXlsZjV3Q1pkbVN3OFB0S2FaYXd5QXBnN0xhZl9WVEZEbmdWVVNWUmlEU05iakdDaC1sRlc4TWtOYlIwdWZsd3VteDVCOUwwTlZoSnZrTk1UNDE5M1ZTY1dBRDRMWkFXQUxGckp2V09YZzJqZFVMLW42UnM5emlRSkFzUjkz
You don't get access to Dall-E with the free version, and you're unable to create custom GPTs. Your access is limited for GPT-4o, advanced data analysis, file uploads, vision, web browsing, and using custom GPTs https://openai.com/chatgpt/pricing/
r/gpt3
comment
r/GPT3
2024-05-15
Z0FBQUFBQm0wR3JpSEhxaUJERDhwalA3SEtDS2U5bTdmMFhpekhWSC1FNmhmNnFnOTJhV0pfdTFQc3prVkxSdFRQZFZZSUx4TVdOT2V4MklPWVhWeTBBbC1rcENyaXNaN2c9PQ==
Z0FBQUFBQm0wR3JoaWtrSXVmWV9rZ1Jqa09yNUpTTEgzQUZGZEdaUXg4NmFWLVJRT3ZwZGdyOHRfSW96azU2TDZfSWRvZVpfeG8yUXJDME1rTk50SHJFUUdaTEJGQnR2MTAwMFlHckliSjlHYS14RnpZbi1Ob1ZhVTlJLVhyZHg4aktud3dES2lKNFZlZ1RHazlBTC1qV1BUUy0xUkpIaXZTUWZQLVdyalVKUE1yWGhud2NURkUzUm42dmw2cFkxWFpaek1taG82UzdCR3ZUVmRxcWE5TWZ4UHZsRkRmSnZtUT09
There is good news for people wishing to rear goats. Government of India is now giving loans up to Rs 50 lakh with 50% subsidy. Eligible people can get employment by applying today itself. This scheme has been started especially with the aim of bringing a radical change in the economy of rural India. To avail the benefits of the scheme, one has to apply as per the criteria set by the government. The government is also giving training to qualified people for this. Loans are being given to eligible people after training. Half of the amount received as loan has to be repaid. Haryana government is giving subsidy up to 90%.
r/economics
post
r/Economics
2024-05-15
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Z0FBQUFBQm0wR3JoRWhha3l3aGMySnJjcGhqckctZWhzV0R1dkg3Q0dSb19ETUx6M21QTkpMUEtFaGdobmI5OWV5aGxOR2tzclhtNjhUb0pzRVItQXhnaVVaZ0xTTzh0c1JmRGg2a3k1aXNOajgyY25KWWtUbGtySDZscG1EeVFEZl83eHRyV19JRTEzTExzMER2bWhZc2d3MFZHdld3cUtWRzJwblY0MTI3Ym1XeDB6TEtHMjJWWk1zdWwyTmNIUTc4bUNqeTZLbW04OFJnYk80dkIzS0ZlN2NLSFZGcmt5UT09
This is the one. Qiskit is STRAIGHT GARBAGE.
r/quantumcomputing
comment
r/QuantumComputing
2024-05-15
Z0FBQUFBQm0wR3JpaWQyMnAwVktPMXJyd3dTdVdNY205UkdIc245UnVwc1QtdWoxN3E1ZEE2d0lXSUdHUFV1S3ZoWUxVaEx5V2dMUkU1cEdkMFpLMmhPQ0xSVGJPV2lKM1E9PQ==
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Hey, one of my good friends used to work there not too long ago. She asked for my help with some of the sticking points with on-boarding and running through toy problems. I have spoken to Yuval several times before he left a while back. I love the idea of Classiq. I'm currently an Industrial PhD researcher for another one of the bigger quantum companies working on QGAI. Haven't looked at the platform since last April or so. I'd be interested to see what updates have been made.
r/quantumcomputing
comment
r/QuantumComputing
2024-05-15
Z0FBQUFBQm0wR3JpZmdBVTc4ankzaFVoUGtCMjRwUU9xNThSdXZ0U1Rwel9sNEJud0Mtc19qdXpwclEwYTY2UGhKYXhtbmNZanNJcU14Y1R0X256NVpkS05NN3JGZTBCZ1E9PQ==
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GPT-4o Start for Free [https://gpt-4o.pro/](https://gpt-4o.pro/)
r/gpt4
comment
r/GPT4
2024-05-15
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Z0FBQUFBQm0wR3JoRkNFTEpwTm9KQTgzQTNHaDRwVVRDNF9SblBYaDdpYjU5c1RHMmJRcTVCM0hiN1o5Z0w2WXkwa3JDR1FidFlLTWJWUERIVW9yckNZck1xYUdMeVJTNmRIRzZycTIzRksyVkliSnUzRTZFWmF4ZVFzb2lxbVAxOU1lWUpUUTA2UThoZEtFeXdPRjhfcVdVc2p5Z1UwTHJaM081SU9qWGFZcEw3T3JqSnZnNzhxcWxhZDZveTdUVUlCQ2ZiS2dreTd4
r/openai
post
r/OpenAI
2024-05-15
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Commenting so I remember to watch this tomorrow once ads are fixed 😋
r/quantumcomputing
comment
r/QuantumComputing
2024-05-15
Z0FBQUFBQm0wR3JpNm9lYXo1RmRoSnM2ajNXMkNJc1plUVVtWmRYbWhFSXRhMnVxamJqbDFMZ3pCOWl4NzRuclRyUjVZRjFZUTdpVEUxQ3FRUEVPdTF1Yi1JRmlUOEotbUE9PQ==
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Other platforms are like interfacing with code. Classiq is like interfacing with a GUI. Not *completely* accurate, but a close enough approximation for the clarification I think you're look for.
r/quantumcomputing
comment
r/QuantumComputing
2024-05-15
Z0FBQUFBQm0wR3JpbTNPcmNKcmR1b0xDT0tjUXdIcmdIYTJ0eUNOeUY3Z3hCWnJpbDdJWmVGYTNXckRyT2Zrbnc5ZXpHVjJxZnJ4QUl4TkJpeVRuZHNuN2RHTGgxNXNXbWc9PQ==
Z0FBQUFBQm0wR3JoWGczQjFZMmFJaWxLRWhxQ0ZSaGVDaWtTdGNRWUJIZjBJQk5hRGc5Mllaa1B1TGtrNEtIN3c1QmRPZ0pfTkgxVlc0WUZ0LUtUeklJNkVHZ3ZfLVNkeW4wNmZmQkhqLVp1SE0tT0lvNUF5bml1TWtLVGhxYV9yY0tRVmYxR09laHBuXzgzU2Rfa1BfbW5NRVROVzBGeVN5Wi1BMnhYRHhJVm9OWnBvVlVqVGxvPQ==
I still have 3.5 bc I don't really use ChatGPT that often. Will I still have 3.5 or will it switch?
r/gpt4
comment
r/GPT4
2024-05-15
Z0FBQUFBQm0wR3JpRE5UR0hUMFduaGRhQk9aWUFuR0tvQXNoZGNMaVcyNmI2engxUVp5cUg2MERJZDU0LW1PSkRGbVhRTHBVSmhmQzZ1cWFtSWtQVFgyRXptelBxS1dzYU9iaHJPVy1hNnBxZDVLcnpoSlR1c2c9
Z0FBQUFBQm0wR3JoN1lCQzZUYWxwQlM0Vk02TllENkM2VnFIVUVYWTBteG9ndV9NT042UVFHUG5xNlB3bUlZSjNmeFRyODNLSER2SERzQ05Cdko0Z1plTndITks2dUdVQkhLaEYzZmJrZFRialNMWFpJZzMzVFo3amNWX003TG1iR3pManVGcjd0OHlGQmswbWQ4RWNUaHVTTFF0d2FrTE8xSHN5c2c2aXNkUWZwNzRTMXJGdE1objF4WDBnSkJlOGVQeGotWU8tWWQtaFVSem1JSDNXYzdzT2N3U2VjUDVxZz09
You don't get access to Dall-E with the free version, and you're unable to create custom GPTs. Your access is limited for GPT-4o, advanced data analysis, file uploads, vision, web browsing, and using custom GPTs. With the paid version you get up to 5x more messages for GPT-4o, can create custom GPTs, and have more access to advanced data analysis, file uploads, vision, and web browsing. Plus, whatever they come out next is likely to hit the paid version first. https://openai.com/chatgpt/pricing/
r/gpt3
comment
r/GPT3
2024-05-15
Z0FBQUFBQm0wR3JpMHZiSW5hZTJHSk14TUpGNTV6QmczSnJ4bnEtelp5NXpfZy1JVTFRVm9pZVJ2bjBicVU4SWhCd2gwanpXdFBGVGhIMmF6WUNrYXF3MHBubV9jVFJKZ0E9PQ==
Z0FBQUFBQm0wR3JoUzBNenMyTVB5VDIxMk1sY0IwWmlYMXhFYk5qT3hWSC10UFZiZDBXQWFHbVlMUm10OVVxN3NuYVVDY1dWNGhsMDJZQkQ3R3FtOElQZ2VEWTl5TEhudXpqMFlmbnNEQnVDVm84X3c5QmtvZ2E4TGktM1BjRnpraHR0VUtTZ0tZRGFtMm1GOWZqb0tRbFgwdUprd1JkV21pZEVsOUhRb1ZObjVZVmVGTmZjelR3Z1dLakM3MHFlTXdidDZZajJEMGhBYTJJaEtiQlA0emd1RFR2TElLSnVUQT09
r/chatgpt
post
r/ChatGPT
2024-05-15
Z0FBQUFBQm0wR3JpYmZBOG9CU3JfV3pPTm13Q1BkcUtOZmdFdTE5TTJReHU2X1NmMTB6YURWV05rTmJSd2c1dVFwRC1EMEdxWWJJWTFTZWhrRkM4bXVTSi1fT2xwSXhKdkE9PQ==
Z0FBQUFBQm0wR3JoTE9GU29kdWVqc2pDTFA3dG8wRjhsc0VzLXlaQ2xhVUlPVWhPX1BYMEYtSEFfeTVuNGNGRVBYenVnNVZ1MXhwRWxIY3JJdXN6UGNDSHBzdUZwQ0t6QWRleUVvNm1ydXZlOS1xQWlpRWlCTDlDbGl5ZjZnN042WU43bnJfczdxUkpPM01kcVRWc3hIYXhfOGNDdlRrYVQzbnV3bDRQNGJCRDI4X04wMllMMXZRZ0NEcHJDRzFtV3ZzYWlacElRa1VPTnJzckR4V18wMU1YbzdDT0tWVlFJQT09
r/chatgpt
post
r/ChatGPT
2024-05-15
Z0FBQUFBQm0wR3JpQ250ck1henNWQmF6NzR4SUxJWUdvU0JWR3hwM2JJMlJsYlo2U0xrc0t2b0pFcTJBTG53WlJxcF95Y0VKVUNkb2dDZEYzZ1BGWTFyZGF3QkJYZDhDaUE9PQ==
Z0FBQUFBQm0wR3JoT3JENmtJN05rTng4WF9fZW5hLTZZOU8xUktVVXZucmNnZGs1NnpyY2ZDc3dfaUJ5YmtoUDNqUXMyS3Z0VFEwUmU1VE5ZdkV1UzhCSmN6MmN6YWtKX20wamFreXNLeDFBc19sdWlzbEdXNzRSSWp6NEVLTHlhZHA5SXJ6VEtBMGtxSWRlazZ6MjJFZ3ZONTMzLUxfbjAtTmJPZVhyaGhuY2FmTlh2Qjc2cHlRQXRMZUF3QkxORVhaLXNlN1F5WlBz
Was only the LLM released so far?
r/openai
post
r/OpenAI
2024-05-15
Z0FBQUFBQm0wR3JpRVh0ZkxURk43VjZ1UGNJUUhMbVcyZ1dGTFd1aWRmbkdDMjU2SkgzLUZMYjVUOGFLdmNQbm1OdDFUY1pwclhXT0llWGZrNzZEUzRoSVNzVWNaalZXZEdNcE9uSURzZF8zUjZzV055UDBqV0k9
Z0FBQUFBQm0wR3JoVm5ERDdlRzRSLXNNcnBMNGcwU1lzUFBtbGZBQ3I5bmFsYWwtTk5oRUNQQ016dUM0bWNCQk8wdGZSRnhmYUozS2U2SFRXTWVJMURjUWFXdEhlZmZTOU5paWQxNGw0MzUtaGZiYVhmS1Nua2hfaW9XWWNqbkpqNFZnaGhZN1N6ZmgzYjItb1hMLXFzNERfTDFzaHZGcnJxNGxOVVlDY0tpbTR3TW5DQ2pSQnpfTzN5OFlJNTFiM0RKMGp2VWV6VGdudDZ6a2JJRVdJTF9oMlhmVW9HUFN4QT09
r/openai
post
r/OpenAI
2024-05-15
Z0FBQUFBQm0wR3Jpb3B6UzNqM0RCWkJtODg0d3NyaWFjeHVfMHY4LTRoaUdXQkdSdFBiMTM5ZWJKRDlpSGZIQk9OMGpKUTJkalJ2a3JOUXAzT1lQUW1iWUxxRUR3eVIxb1E9PQ==
Z0FBQUFBQm0wR3JoWjVXWnJKSElpZmlYU3FYcUx3QkRGd2t2TnFoMVpUNUFzdTdDeGRfSUY1MUR3ZTBsTXlUVFIzanQ4VG1kVmZORzVWaFhsS09kQks3QW9yN05qQXpfd3VhQjJGemFPSGxRQ1VHZjV0LVpuaEl6NEFoRTZNMGFUd2ZBU3M5LW1lY09QQVo5dW5DRzRYS3RnS01xNGRzYVhjTVJJcDYzRTIzdjQ2c05nQXhuYVRLM0pJTkVVcndDU3R0dzJBOTBDMFNRTGJNSVJZR2Nrd18zSTJqcnUwVVVGZz09
r/blackhat
post
r/blackhat
2024-05-15
Z0FBQUFBQm0wR3JpRVZGVFVkLXp3NE4za0Z2d2pfU2x1XzVyR01OWGpUQVM5X1Q0ak1tbE81YXkyMDdIbzIxQjlPdVBJREI5MzZQUjBfNE5Zckk0RXd1dURUVzVheVBNVWc9PQ==
Z0FBQUFBQm0wR3JoSUl4WFM1RGRYR3hlN0tVRV9iNXE5Y3cwaW1XUkRqN25GTHRBTzAzSTJSVFBqemlyWUxUZm14aHRQU3FhVVlkQVZXUGE4Y0dyVjZtQlNKSkVlT0tvTUZlNWlVWE5sYXh2UzFON2hEUjc5Z0dJUW9nX3lhYXNJOUpoaTNjdFBwR2VkOGlxT0FaaXJmMW9rU1FUZmpsTk9NVjV5SXRhYlUwWTNvTHR2Tm9haGZPbEZLM2dfTFhYREZBNmNUU0YwODNk
I really don't get it. The things you can do with this software are just nuts. I'm a "regular" M25 who doesn't know anything about comp sci. That being said, I'm constantly enamored by its complexity and ability to speak "like a human." I tell everyone I know about it because I genuinely think it can make an immediate positive impact on your life. Does anyone else have similar sentiments?
r/chatgpt
post
r/ChatGPT
2024-05-15
Z0FBQUFBQm0wR3JpOXUteTF6UzhVR3JLc0J5eXBlalQ5WUtPbjktWVBUQ2lJMFllQTR0S2dFVDRscWhnUl9GRERIa1RKaVJGRUVlUm9GLTZ5MU5MSmVRSkhxRnRNYlFMazZ0WVJ3bWZVZ2k2M1R4bXNhWmpKVlE9
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Wanted to get an idea of how people are using open source LLMs in production. Some of the questions I'd like to see answers to are: - Would love to get an idea of how you're using smaller models, how you're deploying them, anything else here people might not think of - Do you see any performance/cost gains using fine tuned open source? - How tough is it to train and set up your own fine tuning pipelines? Do you use full training or PEFT methods like LoRA? - Anything else that might be relevant to using your own LLMs I'm an engineer trying to figure out the best way to upskill and see if my company could do more with open source models, and this would be very helpful for that. Thanks!
r/machinelearning
post
r/MachineLearning
2024-05-15
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Thank you!
r/gpt3
comment
r/GPT3
2024-05-15
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Z0FBQUFBQm0wR3JoQnAySXdkbTIyemFmV1dTQ0M2ZHY5VVNxTnNIRXRvTmpDeHhDUmZnWDlmeEd0dTVrelIyT2tQWVF1dnVZNjlkODZZVXN4UkViaWV2clJqS0NOcUtyUVQ1Z1BaYjBjM2UteUpPSnM5M2x1M3hzazRvYkhJcXR4SHJyUXAtZVlwbGt3aDhKSXpmM1RYa0gzM1BxLTR5MlpnSnA4am54TTFRX2hlb3NBV3daUXMzeE12djQ3bDJhUFUwYlVaVGJSaWlr
Do take a look at Middleware. It solves developer productivity for engineering teams. Contributions are welcomed with open arms and do give a star to support the project.
r/opensourceai
post
r/OpenSourceAI
2024-05-15
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r/politics
post
r/politics
2024-05-15
Z0FBQUFBQm0wR3JpMml3N29MY0dHRThCRGpMRkdVN3gxTWhJNDVFeno2dFpGbENpSmtUejBSLUw2SWZlelowNkoxVVdOSTNMMmFqZzBreTI3OVJ2ckNYUDY5YTJBRFI0X2c9PQ==
Z0FBQUFBQm0wR3JoMVo1SEpGYmt1cFoxQ2xSb2g1V1R5ZVp3c0x5NjRsMTExMzVBMUI0RW1MRXpjbTNmcHF2VDhIOGZzUlBPU1FUc04yLV9rZmJRcUQxejFKYTQ2SDk5aGhEVHk2b2FYTzVfeHYtZ0t1QmVTRVV4SVcyUUN0c0ZyUHgyLW1xcmcwQ3F6Mk9aenNiRTVJc281N2NWeGU2U2syT3ppMjRhTW5Va3YwREJUdVc4d1l1X2l2VWlkU3dpMWxDMUc4ZERlOF9Bakp0M2hWOTFSX1ExaEszMFlhSFdMUT09
Really good video. Thanks.
r/quantumcomputing
comment
r/QuantumComputing
2024-05-15
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r/politics
post
r/politics
2024-05-15
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r/cryptomarkets
post
r/CryptoMarkets
2024-05-15
Z0FBQUFBQm0wR3JpaXVoN2NzZUZaRnFXbWtnRUxsMElfekxXQUF3aXV1VENqZjNMcGtrVzdpQzVMcjBIOE9TSFg2Q2J4dlo0X0FKUTNLZ19GSHlfSjZwNGNOenNkU3l0emc9PQ==
Z0FBQUFBQm0wR3JockZ6d0xvOHdpellESVJwNWU4WXZCS1BIWFhJNVlPTVVvdlhhaWk1X0dHNG1jbWJrSUhnTW9NTWJFZGYySWtwdFI0S0NzQmE0b3BNRnB2TVZxY19vWFNiN2NoZ09vQTlHcWtaUmJ1UFh2bGhTR3lhR1E4NEZfZ05wUDA0czkwWl9rRUl2UnJVZ3NVaDhmbXJyWGt1YUxJNl9JQlA3QUJGeEdZQzBsSjZNSDdZaGJFS2ViWmpkYk9aQVZHaGZGQnJvUzJSRkxLdzhueVRJUzJCejVYVVlnZz09
This is amazing. Highlights: - But Blackstone's principal claim — that sounder investments have led to higher returns — is difficult to square with the ongoing decline of commercial real estate. It's hard to fathom how BREIT could have bought so many properties at the height of the market and yet somehow been selective enough to have dodged all the post-pandemic downturns suffered by other funds. According to BREIT's own numbers, data centers and student housing make up only a small part of its portfolio. And many of the data centers Blackstone says have already created so much value for the fund aren't even up and running yet — they're still in development. - The alarm bells over BREIT go beyond whether Blackstone is overstating the fund's value. BREIT has said that through June of last year, 100% of its dividends were funded by cash flows from operations — the money produced by its real-estate assets. But that claim is more than a little misleading. In the measure of cash that BREIT highlights, it doesn't subtract the expenditures required to maintain its properties, which is standard for the industry. In its own fine print, in fact, BREIT does provide several other measures that are more analogous to how most REITS define cash flow; by those measures, the fund has never been able to cover its dividend from its cash flow. - The future of BREIT could also send shock waves through Blackstone's bottom line. In 2022 alone, SLCG calculated, fees from BREIT generated 13.3% of Blackstone's total management fees and 12.6% of its performance revenue. If BREIT and its sister fund, BPP, are forced to slash their NAVs by 50%, the ensuing reduction in fees would wipe out over 15% of Blackstone's fee-related earnings — earnings that Wall Street, in contrast, is expecting will grow by 15%. According to Blackstone's financial statements, it's already anticipating it will have to pay the University of California $564 million in BREIT stock — an expense it doesn't count in the numbers it highlights to Wall Street. If BREIT craters, it will also be difficult for Blackstone to live up to Wall Street's expectations for its long-term earnings growth, which depend in part on its successful expansion into the retail market.
r/securityanalysis
comment
r/SecurityAnalysis
2024-05-15
Z0FBQUFBQm0wR3JpUndDck13MmhxT09uZEdGTkVESXJzTk1wR2pKLXlaeGtDRWhMQ3F5YnBRVEFxVkFhOUtkWmY3R052NXU1YzAwWDZkaDFlVzZOWlk0Qmg4T0txdkdYeEc0SF9mRnBnQmpYWUZ6NTc2RFgxVWM9
Z0FBQUFBQm0wR3JoMkI1SkF2WGRWVE5SOWtvcm9CU2NGbngwMmpWVjFmbV96RkJxOVFSNnJpc09jZ0R6RkhvWUJvZS1xMHNJU1hDTGh1UXpBallaeFpoUTlDQU85a0VaZEZFemY1X255dEE5eW1xai1rM0hHREVtM2JlaTJvYW5RVWd5Zm5mMUdkdHhNN2FDUzBQdW82UHY0QVFzMXdpb0VnRFAza1NnZklLb0lhWldIV0VpOWpYRnlmNGRLNjA3MlpZMkU5ejYyV0VPRmRlWFFHdkJHQ3hRZnlpZWpkV211QT09
r/worldnews
post
r/worldnews
2024-05-15
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Can we train 2 gb of image dataset for classification using Colab free? or is it going to be out of memory?
r/deeplearning
post
r/deeplearning
2024-05-15
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Z0FBQUFBQm0wR3JobV9jNlBPRDlwbV9uWDFHbi01QVpzUW9HTC1VNURZT3FKQ1FEREdRRVBtS2RsdVRZLWNOcVNPUU5fNXpHSFJjWEUzT0FQeDVKT1NLSDloeFJ0YTI2clZXUkhOQXFPZy04R2NSRXNKMWk4Ym1aREFVVGxrdmRJYmg2bC05UGd3dXlsS2syazByRUJ1azJHMGRFcjRGeG9IUkIydllaWm0yV3pCb1lIMEtVLUZFQUcxazc2UXZZYUVjQTZCVWVaT3ROZEhoUkZhVDRIUGd3dTM1dFNLRU1zUT09
Can we train 2 gb of image dataset for classification using Colab free? or is it going to be out of memory?
r/deeplearning
post
r/deeplearning
2024-05-15
Z0FBQUFBQm0wR3JpZklIaXUzbWpRUHI4bTg5dE9wcldzaXdJR0tIRThmczdfZlJCVFVWZzJ2WkZWUEtnUm9CR29COC12R3pIZG9xcldVZlprSFhGY3RSVnZuYTBSSWU1NldiQnZ5eGRSNTlYdWtkdmVDQXNWVFk9
Z0FBQUFBQm0wR3JoRW44bUxVMzVyclZCc1ljYkhjTERacjFXUjNwdndRTWFLSngyVHZNT0JvbUIwbTBXZWxiY1NjdVdEVEk3RVlaUldTdGtlNDhJTnpYWTV4NWdQZVFJb1gtYm1oZjcxVElhNm5vYjNlb1RpdWhBaFRySmFnRHA2dVlfRU1CdEt0emRuaWZwc2lydWxtQVlUdm0xZXRvbFF6aEhEMFhnWklUTFVDbTRrZkFLVmI0VmFhWmxNQkhzQUJzVEFXa1piNlVlVkJjVFFhSWswTXJESVJxUFlhc210Zz09
r/ethtrader
post
r/ethtrader
2024-05-15
Z0FBQUFBQm0wR3JpUGNYcHktMm5OclppcEljVVdrUHlHN1dtSWFjRk9mc0RxdHFOUzdoaEdYOF9TZ3VjNEdOQmpEb1RTektTcVhZZ3c1SXY3X1dHcDdKVHM3UVJ5UzFOWVE9PQ==
Z0FBQUFBQm0wR3JoRF9HeHVseWJDV0NDekQteFhrREdEX21xYm9aM1lFMW9GRUQ0ZHFxSjl3TXdaaDBzZVhsa0piUFoxQVJLMER5LUd6MDFKd19XSFdJMjBfWTRvcG12Q0pLT2lSSGFMclg0UGhoZDFMWVhZaC1sOXN5a0pac0RLNlZyUFFKVHlkTGtFTTBBNEU4RW5ZdVBDRi1ham5KNTlHZkk1RXJpZ1plRzZjMFIxVnE4RDNyZ21Gdkl4SjhWV3JpVlNMYzZtX2to
NVIDIA driver: 545.29.06 OS: Zorin 17 (based on Ubuntu 22.04) Python: 3.11.7 (via pyenv) According to this table: [https://www.tensorflow.org/install/source#gpu](https://www.tensorflow.org/install/source#gpu) TensorFlow 2.16.1 requires CUDA 12.3 and CuDNN 8.9 but can someone confirm this? (The previous 2 time I installed CUDA ended up breaking my NVIDIA driver) Moreover, do I require Clang and Bazel as the table mentions? UPDATE: CUDA 12.3 and CuDNN 8.9 works perfectly fine with tensorflow 2.16.1.
r/tensorflow
post
r/tensorflow
2024-05-15
Z0FBQUFBQm0wR3JpVlE4akZmOUZwWk1zX3hsVllaS1NwdmUzb1Z3UWY3MTBlZ1hYNzFfcF9GOWFoOURkd25VWmhybVU3b1oybnRxOGJJcGVPeDBRVk5oTGN4ZUFDLVR2ZUZKWHZPVWo5VEY0VGo3VFhVNkQ4SEE9
Z0FBQUFBQm0wR3JobXVqQWFmZjA1cDNOMGtFZThGdmRTbzZNbEotSndNQ0pjWlhGVzZ3NmJmeGpXWGFoR1pwVGVIRG44TXpCZ0V4aGtLb3pzbktwMkVTcXN6TUp3WExKN3c5b1dmYmpaWlpYd184dTBCb2dtbmhnWGR2QXdHV3Y4bU9jQmhEdkptVWI2WTkwV0RCa3dJemdfX1VZUF9EZ3I5eENxeW9SMHFFRmlfS0dUdDczRHBpQ2dEdWxOQURPenh6eDBHUHB3QVZyWVFvQXZGcUdwelJoTG5QbnJiWkxvQT09
YahooFinance posted on their Instagram that S&P500 earnings growth for Q1 2024 was recorded at 5.4% but that if you excluded Bristol-Myers Squibb ($BMY) that figure rose to 8.3%. How is such a large discrepancy possible given this company is valued around 90B?
r/investing
post
r/investing
2024-05-15
Z0FBQUFBQm0wR3JpMlVCVmt1OGFGTktHUjBXcEI4MmpoV0JndlBQQVdlN25xb04yVWUxWmtTbkdTVThOTktEVlRZQjdYVTEzd05zU0s4ek02SFpQMVR4WHlyd1dpdnFDVS1CTmVhNkR0b0FORUwxMXBLY1gxN0E9
Z0FBQUFBQm0wR3JoRDRrNVVFeXQtQ1VnN1RlVnBLQzhDUmZOdm9Rb2E4VTJLWVk0YkpsZTNlZ2otUng5V1BSVXhGRzBGNDJZaFhVcG14NDdVNGNmdU9lXzVrRUw5M0F1NjdrYmdRcU15SkFhazBuZTZ5ckJpaHlTT2tmb19aR0NZejc5Y0N1bUZoUWVBd0lDSF92RjZzQUF6YjRwUmZfTTBqX2I4VzFOWDZocTdaaEJMTjB5d21JVU1veGxFSFQzMDFQX0pYUkxIRDIxbk9faEoyZmJXY2tYZ2JUVEJodm5wQT09
I don't see this discussed at all. The ability to watermark AI generated content in various modalities including text is just outstanding. https://deepmind.google/technologies/synthid/ Does any other organization offer similar capabilities? OAI scrapped their efforts apparently: https://openai.com/index/new-ai-classifier-for-indicating-ai-written-text/
r/deepmind
post
r/deepmind
2024-05-15
Z0FBQUFBQm0wR3Jpa0tVQV9EejdTTWUtN2ExZXBRU2tycWtVQjdaUlo4X2Q4S2pZX3hqd21jOFVCTWdZRVJ1ajl2MThuTE5DOVAyOV9Kd2R0UHdUWG52bF9TeUNzMG1EclE9PQ==
Z0FBQUFBQm0wR3JoSFhpMXRxYnppMXBFLWt1eE5PYVRtQnFjSE9JajhFTDl5TzlYQ0VyV3g2bkF5NG1zWEIxN2c5aDZsTDhKN194bDA5UnJNTlRLbFFrLVRVQ3ltVXRjV3prbF9GQjdjenJDVk1WUzhhMkJDc3F0ZFJiOHhqTXJZYW96LVFFdzJhX2szOEdSSWNFbzFIYnd4Rnh1Z1FQeXZKOEVDSy1sMkVXY1lMbmpubmRZMVJGYklQblJsRmlLOFVkMDZjSExuTnNH
Did you find out in the end?
r/pytorch
comment
r/pytorch
2024-05-15
Z0FBQUFBQm0wR3JpT0tOWkdLOXZRMW1ndElKRjc5eXZ3Ym1IN1FPTnd2OW1DSm9aV3h5cWdvUXh0NTVhZncyNlBONnV1cENPV1BGa2tKWk9UdmRIcDFvOFZ4Vm1WU1d1Tmc9PQ==
Z0FBQUFBQm0wR3JoblF4YmljUHpFMFZITUY0WjRlSzBhWDlJSm54VkVFM0lyTE5PTmxJQTZ6RzU5VEJpcW5KT1dyU3diT3ZXWm5CWHR1MFV5ZzZtbXdsQnkza1dQazhSUzRhYnpYd3N3WE5WV3ZmcUlGUHZlSi1xZ242dXJtZW5heWVvakZyU2kzNGhiYlQ0ejlKWmRvUW4wdlJheTFOY1ZONjJ3WWhHOHBWNDdWaTlvSkNCNUhiTjUyM3pBazFyWkROU0k4cFJLUlZ3
🌟 The advent of GPT-4o seems to open a new era for language learning. 🌟 Personally, I speak Korean and a little English. It looks like I'll have access to a great (any language here) tutor within a few weeks. 📚 I am psyched! 😄 Does anyone else have a vague language learning plan like mine? 🤔
r/openai
post
r/OpenAI
2024-05-15
Z0FBQUFBQm0wR3JpY1lQNXNaaVBqYXFvbDdFT1YzNmdXRGdfdlN6ZTZvdlN6SUxDVFFFLTBQWEp5aWJDaGpQN1ZDSm9WZzZXSFk1V3lwbHBNcjkxZ3VXUVBrVjI5cmlkd3c9PQ==
Z0FBQUFBQm0wR3JoTTBxWTVhbmNrdTUzdE5jNE0zWjhfVnB1YkEtblIxVzF1SURaU1RXT2JaQkdPSmdNTTF6VE1yRzFjb1FhbFRpTFFBQzJvVU03anlCOXE1MVNrT1VqXzhybzFXWXJQa2g0akFoenRIVjk3ZmVoeDlrUHdpTjlxOE1ZMVRHUklxbEpIOW01UjRaZ0VQYnBQRVllOTZWOFE2eWUweTBqNmZjelFNLVprOUNRcG83QkVxVUhGM0V0TVE1XzByQTBlMVFxZEtjVzI2QXZ6YmdqekNFaG1QX1RwUT09
On Ubuntu? If you do \`pip install -U tensorflow-gpu\`, does it not pulling the right cuda and cudnn for you already? I use the tensorflow docker image, so I don't need to deal with this. The packages are already compiled, so you don't need clang or bazel.
r/tensorflow
comment
r/tensorflow
2024-05-15
Z0FBQUFBQm0wR3JpQWtpQ3NSdmREc2RJeXVFZXVRQllGdU5fWE1JZ0pyR3ZQNzNkU0VlaERXZ2VBcks0T0ppOU5Yb2VUUXdfT2p2MFJmR0FMWF9mTDkzeWdOT2FIRm1BTlE9PQ==
Z0FBQUFBQm0wR3JodDQ0V1NoQmlmNDBRM2t2eUpKbVJfMWRvU1dwNVUzcDc3VEhCV2Y3VXBobGFKRWNZZXJqWDE0WUVBSFlrenQ0NEc1dldlbDRyYy1LTE4zM1l2NEc5RU05dXBzaHRjdlZfY2RiNGZCZVlTbmNySVU3b3lHNXVLY1lwbGJNSGx2QUdRWXNCeFRiX3dJaks5YlZ1SVVtaXZ6V0ZCVi01YXM3M3c3TU5fc2VOTW5jYkdVUURqQmo2OEh3VndNaktlS2JZVDBLalNfRThWWDVZZVYwRkJ2VjM3Zz09
r/openai
post
r/OpenAI
2024-05-15
Z0FBQUFBQm0wR3JpcE9zSmY5Q3lQZFN0LUdUUmxlbGJBaW9VbDF1YUk0WlJKUklzTTF1UHFLLWFBQ09LWU1fd2Y3TEVjb0hUVDFhWUNySnM0VE5QSWtseWJXTHlIcklxUXBPaVlBN3M4cTdicmVvX0lwLVRYUm89
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In 2023, amidst a fierce price war among suppliers and a fragmented competitive landscape, the domestic energy storage companies find themselves heavily reliant on mandatory policy installations. Concerns about future development loom large among market participants, prompting a swift pivot towards overseas expansion. But why the sudden surge in interest in foreign markets? The answer lies in the fact that domestic companies are encountering developmental roadblocks, compelling leading manufacturers to prioritize expansion abroad. In this article, TrendForce will delve into the challenges and opportunities facing China's energy storage industry as it ventures into the lucrative U.S. market, shedding light on the strategies and hurdles involved in this global endeavor. Lithium-battery Industrial Chain Highlights in China China stands out in the global lithium-ion battery supply chain, boasting distinct advantages. From cathodes and anodes to electrolytes, diaphragms, and batteries, China boasts a comprehensive industry chain for lithium-ion batteries. Conversely, the United States grapples with insufficient local battery supply, relying heavily on the global supply chain to meet its energy storage system needs over the long term. As local demand surges, the United States has emerged as a primary destination for battery manufacturers to export their products. Since the IRA Act came into effect, storage battery companies worldwide have ramped up their efforts to build new battery capacity in the United States. However, Japanese and Korean companies predominantly focus on producing ternary batteries. Many of their lithium-ion battery plants in the U.S., either under construction or already operational, specialize in ternary power batteries. As mentioned earlier, China boasts a complete industrial chain. However, due to its advanced supply chain and fierce market competition, the average price of China's ESS is lower than that in Europe and the U.S. Consequently, in the United States, expanding local battery capacity in the short term poses challenges. Nonetheless, aided by U.S. subsidy policies and transport cost considerations, China's energy storage system products remain highly competitive in the U.S. market. Wood Mackenzie anticipates that the capacity of energy storage batteries in the United States falls short of meeting the demands of its energy storage market. Moreover, the IRA Act mandates certain requirements, such as localizing key minerals and battery modules, to qualify for electric vehicle subsidies. However, there are no specific provisions regarding the ESS supply chain in the IRA Act. As a result, in the short term, ESS systems reliant on lithium iron phosphate will heavily depend on the global supply chain, particularly on China's supply of lithium iron phosphate batteries. Chinese battery manufacturers continue to lead the way in global energy storage battery shipments. According to data released by SNE Research, an international battery market research institution, on March 11, 2024, Chinese companies maintained their dominance in global energy storage battery shipments throughout 2023. The data reveals that global energy storage battery shipments in 2023 totaled 185GWh, with the top five spots occupied by Chinese companies: CATL, BYD, EVE Battery, REPT, and Hithium. In 2023, the global energy storage market continued to be dominated by China, North America, and Europe. Demand for energy storage batteries in North America and Europe reached 55GWh and 23GWh respectively, accounting for 30% and 12% of the market share. Meanwhile, the Chinese market saw demand soar to 84GWh, securing a commanding 45% market share. Currently, Electrochemical Storage Systems (ESS) remain unaffected by the Foreign Entity of Concern (FEOC) regulations in the IRA Act. This implies that the U.S. has yet to impose restrictions on imports of energy storage batteries from China. Consequently, Chinese manufacturers still hold sway in both the U.S. and European markets. With the U.S. electrochemical energy storage market witnessing robust growth and China's lithium-ion battery industry boasting superior scale and technological prowess globally, manufacturers stand to gain significantly by tapping into high-value segments of the industry chain and leveraging advanced technologies. Regarding ESS, according to data from CNESA, the top five companies in global ESS shipments for 2023 are Sungrow, CRRC Zhuzhou, Hyperstrong, Narada Power, and Envision Energy. Chinese energy storage system integrators are rapidly expanding into overseas markets, aiming to cater to diverse scenarios and enhance their presence across multiple global markets. As capacity continues to grow, Chinese energy storage enterprises are increasingly targeting overseas markets. Energy transformation and green development represent inevitable trends in global economic progress, with the new energy industry in various countries and regions experiencing rapid expansion. Consequently, the potential for growth in overseas markets is virtually limitless. Furthermore, Chinese battery companies lead the way in technology, production capacity, scale, and various other aspects. Their integrated industry chain and cost advantage serve as crucial assets, with relevant enterprises actively promoting research and development in battery technologies and strategic planning. Consequently, their competitiveness in the international market is steadily increasing. Looking ahead, China, the United States, and Europe will remain the world's most significant regional markets for energy storage. Leveraging advantages such as the introduction of new technologies, cost efficiency, diverse product application scenarios, and expanding overseas markets, Chinese energy storage enterprises can enhance their global competitiveness.
r/energystorage
post
r/EnergyStorage
2024-05-15
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r/worldnews
post
r/worldnews
2024-05-15
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With the rapid development of residential energy storage in Europe, it has emerged as a key player in the realm of energy transformation. On one hand, the imperative of transitioning to renewable energy sources is undeniable. On the other hand, certain regions grapple with weak grid infrastructure, intensifying the demand for localized residential storage solutions. As the industry matures, accompanied by declining raw material costs, the prices of residential storage systems are starting to decline. Simultaneously, the burgeoning demand for Energy Storage Systems (ESS) suggests ample room for further market penetration. Moreover, residential energy storage products primarily cater to consumers (To C), necessitating a competitive edge in product quality, brand recognition, and distribution channels to ensure sustained profitability. In 2022, the energy storage industry witnessed a meteoric rise, evolving from its nascent stages. By 2023, however, demand tapered off amidst shifting policies and inventory dynamics. Now, in 2024, the trajectory of the residential energy storage sector is poised to be influenced by a multitude of factors, including sustained policy support, product innovation, channel optimization, dwindling inventory levels, and declining interest rates. The forthcoming discussion will delve into the anticipated future of the industry, drawing insights from the experiences of international energy storage enterprises. SolarEdge: SolarEdge dominates the European market, offering cost-effective products that pose a challenge for our enterprises to match. Renowned as a top player in solar and storage inverters across Europe and the United States, SolarEdge boasts a market share that reigns supreme in both regions. Established in Delaware in 2006, SolarEdge experienced rapid growth through strategic collaborations, notably with Tesla SolarCity from 2013 to 2015, culminating in its NASDAQ listing in 2015. The 2017 mandate by the United States NEC requiring solar PV systems to integrate Module Level Power Electronics (MLPE) with rapid shutdown functionality played to SolarEdge's strengths, enabling the company to swiftly expand its market share. According to data from Wood Mackenzie, SolarEdge secured the 7th position in global inverter shipments in 2022, firmly establishing its dominance in European and American markets. SolarEdge's product portfolio encompasses a diverse range of offerings, including solar and storage inverters, energy storage systems, uninterruptible power supplies, electric vehicle charging stations, and integrated solar and energy storage solutions. These solutions cater to various sectors, spanning from residential and commercial to utility-scale ground-mounted power installations. In 2023, SolarEdge introduced the SolarEdge One software, marking a significant expansion into the realm of virtual power plants. Through sophisticated algorithms, this software facilitates new energy power trading, empowering customers with advanced solar and energy storage solutions. By bridging the gap between software and hardware, SolarEdge continues to bolster its product ecosystem, solidifying its position as a leading provider of comprehensive new energy solutions. With a strong focus on customer collaboration, technological mastery, and leveraging the benefits of U.S. trade policies, SolarEdge has consistently excelled. The first phase, starting in 2013, saw SolarEdge achieve rapid revenue growth through strategic partnerships, notably with Tesla SolarCity. During this period, the company experienced a remarkable compound annual growth rate of 83.7% from 2013 to 2016. In 2017, the introduction of stringent safety regulations by the U.S. NEC mandated the use of Module Level Power Electronics (MLPE) with rapid shutdown capabilities in PV systems, rendering traditional string inverters obsolete for residential energy storage solutions. SolarEdge, with its mastery of the requisite technology, swiftly capitalized on this shift, rapidly expanding its market share and witnessing substantial revenue growth in 2018 and 2019. The third phase unfolded in 2018 with the imposition of 10% tariffs on Chinese PV inverters under U.S. trade policies. SolarEdge benefited from these trade barriers. Subsequently, in May 2019, tariffs were increased to 25%, prompting Huawei's withdrawal from the U.S. inverter market. Despite the overall growth of the new energy industry, SolarEdge experienced a revenue decline in 2023, attributed to the industry-wide destocking process. Reports indicate that market demand in Europe and the U.S. was disrupted by high interest rates and policy uncertainties. In 2023, SolarEdge's revenue from its inverter, optimizer, and backup battery businesses reached $1.37 billion, $900 million, and $380 million respectively. This represented a 20.8% increase, a 20.5% decline, and an 11.8% decrease from the previous year. Furthermore, sales figures stood at 1.013 million sets, 17.4 million sets, and 744 MWh, marking declines of 0.8%, 26.6%, and 2.2% respectively compared to the previous year. The unit prices were recorded at USD 1,356 per set, USD 52 per set, and USD 0.51 per kWh respectively. The substantial decline in optimizer sales can be attributed to the superiority of micro-inverter solutions over optimizer and string solutions in meeting the stringent MLPE requirements set forth by the NEC for rapid shutdown functionality. In 2023, the company's photovoltaic business revenue in the European and U.S. markets amounted to $1.81 billion and $760 million, respectively. This represented a 15.8% increase in Europe but a significant 35.9% decline in the U.S. compared to the previous year. While the beginning of 2023 saw some relief in the industrial chain situation, the European market initially experienced rapid growth despite a slowdown. However, the latter half of the year was marred by high interest rates and policy uncertainties in countries such as the Netherlands, Belgium, and Italy, resulting in a substantial contraction in market demand. Although the company's revenue from the European market maintained modest growth, the growth rate declined by 55% compared to the previous month. Similar trends were observed in the U.S. market, exacerbated by the transition of California's NEM 2.0 policy to 3.0, which created a vacuum in the demand for distributed PV storage. In 2023, the European and American market demand was significantly affected by uncertain policies, with expectations for gradual recovery in 2024. Throughout the year, power optimizer shipments fluctuated, reaching 6.4 million, 5.5 million, 3.3 million, and 2.2 million sets from Q1 to Q4 respectively. Inverter shipments followed a similar pattern, with 330000, 335000, 274000 and 74000 units shipped during the same period. Energy storage battery pack shipments also varied, with 221 MWh, 269 MWh, 121 MWh, and 133 MWh recorded from Q1 to Q4 respectively. However, in the latter half of 2023, impacted by lower demand and high inventory, SolarEdge's shipments experienced a sharp decline compared to the previous month. Looking ahead to 2024, several developments are anticipated in the following regions: 1. Germany: Expectations are that certain tariff caps will be lifted in 2024, resulting in higher electricity prices in the country. Consequently, the return on investment (ROI) for photovoltaic (PV) installations is projected to increase, fueling continued growth in residential PV installations. 2. Austria: It is anticipated that the value-added tax (VAT) on PV power generation, introduced at the beginning of 2024, will be repealed. 3. Netherlands: The uncertainty stemming from the 2023 election and the changing net metering policy led to a sharp decline in PV installations in Q4. Recent decisions by the Dutch Senate indicate a potential sustainability of net metering, prompting optimistic market responses in the future. Enphase: Anticipated shifts in demand are on the horizon as the second quarter of 2024 draws to a close. Enphase stands as the undisputed global leader in microinverters, spearheading advancements in solar, energy storage, and charging solutions. Founded in 2006 in Delaware, Enphase revolutionized the market by introducing the world's first microinverter, the M175. In 2011, Enphase embarked on a global expansion strategy, penetrating the MLPE market in Europe, Australia, and other regions, culminating in its listing on the NASDAQ in 2012. Leveraging its pioneering status in the MLPE sector, Enphase has continually enhanced its microinverter products, elevating power output from 175W in the first generation to 550W in the eighth generation. The latest iteration of inverters boasts additional features such as split-phase grid connection and off-grid capability. As a result, Enphase commands a market share exceeding 70%, firmly establishing itself as the industry leader. Building on its expertise in microinverter technology, Enphase embarked on a series of strategic mergers and acquisitions, consolidating businesses in energy storage, electric vehicle charging infrastructure, and cloud services to develop comprehensive solar and storage solutions for households. In 2016, Enphase introduced its inaugural residential storage product, marking its entry into the energy storage sector. By the close of 2020, the company unveiled the IQ Battery residential storage system, expanding its product portfolio to encompass residential energy storage solutions. Enphase IQ Batteries operate on low-voltage DC power, mitigating the risks associated with high-voltage DC power and enhancing system safety and efficiency. In 2021, Enphase ventured into the electric vehicle charging infrastructure market with the acquisition of ClipperCreek. The following year, the acquisition of GreenCom positioned Enphase as a leading provider of home solar, energy storage, and charging system solutions, bolstering its offering with Internet of Things (IoT) solutions. Thanks to favorable policies, expanded channels, and enhanced product competitiveness, Enphase has experienced rapid revenue growth since 2019. On one hand, Enphase has reaped the benefits of supportive policies such as the NEC 2017 mandate requiring residential PV systems to integrate Module Level Power Electronics (MLPE), driving demand for the company's microinverters. Additionally, the 301 tariff prompted Huawei's exit from the U.S. inverter market in 2019. Furthermore, the IRC's gradual reduction of the Investment Tax Credit (ITC) subsidy from 2019 onward stimulated PV market growth. The introduction of the IRA in 2022, alongside the extension of the Advanced Manufacturing Production Tax Credit (AMPTC) and Advanced Energy Project Investment Tax Credit (AEPITC) subsidies, has had a significant impact. These subsidies, extended to 2032 and 2030 respectively, have bolstered Enphase's microinverter production. In terms of channel expansion, Enphase's acquisition of SunPower's subsidiary in 2018 solidified its position as the exclusive supplier. Moreover, strategic partnerships with Sunrun, LG, Panasonic, Solaria, and GRID Alternatives have further expanded its reach and market presence. Regarding product development, Enphase has concentrated on promoting its IQ 7 and IQ 8 series microinverters since 2019. With conversion efficiencies of up to 97.5%, these inverters cater to a broader range of solar panel installations. Additionally, the higher power range of Enphase's inverters ensures compatibility with solar panels in various regions, while the company's commitment to efficient after-sales service has reduced average waiting times to less than one minute. By the latter half of 2023, Enphase faced increased pressure in both the US and European markets due to weakened demand for energy storage and high inventory levels. In the US market, the transition to NEM 3.0 and elevated interest rates dampened investor confidence in residential solar storage investments. As per the company's investor communications, revenue from the US market dropped by 16% and 35% in the third and fourth quarters of 2023 respectively, compared to the previous quarters. Notably, the California market experienced a sharper decline, with Enphase's microinverter sales falling by 25% and 27% in Q3 and Q4 respectively, while non-California markets remained relatively stable. In Europe, the anticipated demand recovery in the latter half of 2023 fell short of expectations, exacerbating distributor inventory backlogs. Enphase's top three European markets—Netherlands, France, and Germany—faced distinct challenges. The Netherlands saw hesitancy among users awaiting the removal of the net metering program, while seasonality impacted the French market, and the German market grappled with feed-in tariff reductions. Consequently, market demand and shipments related to residential PV in major European countries all experienced declines. According to Enphase's investor communication disclosures, microinverter shipments in 2023 were as follows: 4.8 million units in Q1, 5.2 million units in Q2, 3.9 million units in Q3, and 1.6 million units in Q4. Additionally, battery shipments totaled 102.0 MWh, 82.3 MWh, 86.0 MWh, and 80.7 MWh from Q1 to Q4 in 2023 respectively. However, in the latter half of 2023, microinverter shipments experienced a sharp decline due to weak demand and inventory accumulation. Enphase estimates that channel inventory will normalize by the end of Q2 in 2024, with shipments expected to increase again in Q3. Conversely, battery sales, buoyed by NEM 3.0, continue to rise. Currently, the European market shows signs of recovery, while the California market is anticipated to gradually improve. The Dutch parliament recently confirmed that net metering policy will remain unchanged in the short term, and electricity costs have increased in France and Germany. Consequently, it is expected that the company's business will reach its nadir in the first quarter of 2024. In the United States, non-California markets are poised for swift recovery after interest rate fluctuations. However, the California market's recovery may take several quarters due to the transition from NEM 2.0 to NEM 3.0. Nevertheless, given the high electricity costs, the integration of solar and energy storage offers a higher return on investment under NEM 3.0, leading to a gradual recovery in market demand.
r/energystorage
post
r/EnergyStorage
2024-05-15
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Amidst the pursuit of dual carbon targets, there's a heightened focus on advancing new energy storage technologies. Lithium-ion, compressed air, and other storage methods are poised for significant development, indicating a promising future for the electrochemical energy storage industry. This sector is anticipated to experience rapid growth in the coming years. **Keyword: Competition** In 2023, new energy storage practitioners experienced intense competition as the prevailing sentiment. The pressing issue of involution spurred ongoing technological advancements and reduced prices of energy storage systems. TrendForce data indicates that the overall trend for energy storage system (ESS) prices is a continued decline in 2024. Specifically, the bidding prices for ESS in March 2024 are expected to vary based on different energy storage durations. **Winning prices for ESS in March** https://preview.redd.it/rmyti3qerj0d1.png?width=945&format=png&auto=webp&s=a929571f836a6e87e51029d0d9ab81f32d92ee85 The cost reduction in the new energy storage process has surpassed industry expectations, along with the rapid pace of development. In March 2022, the National Development and Reform Commission and the National Energy Board introduced the implementation program for new energy storage development under the 14th Five-Year Plan. By 2025, new energy storage is projected to transition from the early stages to a burgeoning phase of commercialization. Furthermore, during this period, new energy storage systems are anticipated to meet the conditions for large-scale commercial applications, with costs expected to decrease by over 30%. In less than two years, the new energy storage industry has surpassed its cost reduction targets. Yue Fen noted that in 2023, Chinese companies' shipments of energy storage batteries (excluding those for base stations and data centers) reached an estimated 185 GWh, falling short of initial projections for the year. She also mentioned that various factors have led to an industry-wide average capacity utilization rate of only about 50%, resulting in slowed shipments in the latter half of the year. With rapid capacity expansion and heightened competition in the sector, companies lacking capital and sufficient technological expertise will face increasing pressure. **Keyword: Innovation** Despite facing challenges, participants in the new energy storage sector remain optimistic about future development prospects. A fresh round of competition has ignited in the energy storage market, with various companies intensifying research and development efforts on high-capacity, long-life, and low-cost batteries. Cost reduction and efficiency enhancement have emerged as primary focuses for product advancement, especially within the power generation segment, which dominates the energy storage market share in China. Consequently, expanding the capacity of energy storage products has become the prevailing choice for enterprises aiming to achieve cost reduction. Currently, storage battery capacities upgrade rapidly, with the mainstream capacity being 280Ah, and there are many other capacity such as 300Ah, 560Ah, 700Ah, and 1130Ah. Additionally, leveraging high-capacity battery cells, leading industry enterprises such as Trina Solar, CRRC Zhuzhou Institute, and CATL are pioneering advancements in single-cabin energy storage compartments to bolster solar power. These efforts have culminated in the introduction of a 20-foot single-cabin 5MWh energy storage system program, igniting a surge in standalone capacity expansion within the energy storage sector. Furthermore, manufacturers are continually unveiling new 5MWh+ energy storage systems, catering to diverse customer needs with unique solutions. **Keyword: Breakthrough** Breakthroughs are crucial to addressing the prevalent challenge of installations outpacing applications in the downstream sector. Jiang Weiliang, Vice President of Yotai Energy, highlighted that the underutilization of Energy Storage Systems (ESS) stems from a lack of established market mechanisms and unclear profit models. Numerous drawbacks, including scheduling issues, equipment variations, and commissioning challenges, plague energy storage projects. While project bidding winners often make lofty promises, actual implementation falls short, resulting in relatively low utilization rates for energy storage projects. Finding solutions to these hurdles is paramount for driving widespread adoption and maximizing the potential of ES **Keyword: Profits** In the transition towards a new power system centered around renewable energy sources, effective utilization of energy storage is essential alongside its proper implementation. Chen Jianfu, Co-President of Guangdong New Energy Storage National Research Institute Co., Ltd., emphasizes the challenges faced by large-scale integrated energy storage systems, particularly in terms of grid functionality. To address this, he suggests a comprehensive study of energy storage application scenarios and an analysis of each scenario's specific demands. Furthermore, the increasing demand for energy storage is expected to drive improvements in policies and market regulations. In a significant development, in September 2023, the National Development and Reform Commission (NDRC) and the National Energy Administration (NEA) issued China's inaugural basic rules for the electricity spot market (trial). These rules explicitly permit new entities such as energy storage systems and virtual power plants to engage in transactions. With the rapid expansion of the power market and widening peak-to-valley price differentials, energy storage systems are poised to play a pivotal role in transactions within the power spot market and auxiliary services market. This involvement presents opportunities for energy storage to generate profits through transactions. Analyzing power prices in January reveals significant disparities between peak and valley rates, with the highest gaps exceeding 0.7 yuan/kWh across 19 regions. Notably, Guangdong, Jiangsu, and Hubei provinces lead with peak-to-valley differentials reaching 1.3053 yuan/kWh, 1.1414 yuan/kWh, and 1.0693 yuan/kWh, respectively. These figures underscore the increasingly substantial revenue potential for new energy storage solutions. As the power industry marches towards the future, energy storage emerges as an indispensable asset. With the widespread integration of renewable energy sources into the grid, coupled with the imperative for peak shaving, frequency regulation, and microgrid development, energy storage assumes a pivotal role in the power system of tomorrow. In 2024, the new energy storage sector is poised to maintain its rapid growth trajectory in response to these evolving demands.
r/energystorage
post
r/EnergyStorage
2024-05-15
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GGP wasn't a fraud
r/securityanalysis
comment
r/SecurityAnalysis
2024-05-15
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r/cryptomarkets
post
r/CryptoMarkets
2024-05-15
Z0FBQUFBQm0wR3JpQVJ1NVU4bnpERlhIZ25hWHIyaDh1dEFoZC1MN05Mb2xPakR2YjJ6NmpiQ2l4eTVTbGhMeXlHRGxZUC1aMkVLZEpxa3VwWWZmVFZUcGhKcWtsLW4ta0E9PQ==
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I blame the fierce competition. They knew that Google was to present its new AI in the same week, and they wanted to be the first.
r/gpt3
comment
r/GPT3
2024-05-15
Z0FBQUFBQm0wR3JpN2tSTmNFbDlIMERSLWZPR2ducWo5ZHJiN3dTWmRWLW5rNHFGLVRMMzBFMEg5Z0wyc2hSdnF5UVVyQkxiSFVESGxEVzJEMnpId0Uyb1gyMlJEUVpBSlE9PQ==
Z0FBQUFBQm0wR3JoeUFQRnBMV1JKQ0RmOFViNkFMSUlTcjAxQVhOY21ERnU4em1IcTdnVHNYSWhDNHFEZGltRUpnTWFCb2hxLUEwV2ZXdmZlV2xDLUVyLUlzQ25kVzg4Wll5VC14V3Z6NFFIUkxfM0pnU1JIcWJGUGxNNFhud1ZTeGZ3a2hTRFQtd29HVFM0VnRLWlRUQ2IybDFDelV2OWVrUWNKbkdaVmhraV9JYU9vWEkwR3ZJTUExOTRLR0VxWlFDaUQ2X09WVjcw
I thought the package tensorflow-gpu was deprecated. Doesn't tensorflow 2.16.1 ship directly with GPU support?
r/tensorflow
comment
r/tensorflow
2024-05-15
Z0FBQUFBQm0wR3Jpa0ZQZ25kMGRjRjEzU19EUWtDSTdPb01WMzhUcmtUM3Fhd0tlWE83MmFmemhKUU1qcXI5M2Z6elh6Y2pIMl9vT0FRd2VUYkVSczY2RDBkNnVFeGJxOTI5WXJHYnJuUGIzNlpaY3lCZmVaWW89
Z0FBQUFBQm0wR3JobmxVeVZmcW1JY2UtSDNHQ1pnSllyUjRhNVlLUk5sZEJTVnZOYWZJWE1XcXl1UXVpV3J5RFA0VW11RERXcC1MWTNSZXBRa2pEcERjMjBPS2FacnZ0MnRTLTNYV2FLLTVreDgxZDVNLXZnSzhiZzVJY3J5OHhOZ2wxa1Yzcm9fNVhUejF2WHhNUG10WDBTV1h5NDJMbk1Ka1h0cTB5NW9IU1V6YzZsUkJiMjEtd2xPNlNDbHVLaWhqbzdaT016amc0Z3NEV0plR251c1phTm1JTWtKTXVSdz09
Worked through this [Intro to Deep Learning](https://www.kaggle.com/learn/intro-to-deep-learning) course on Kaggle. It was good! Check out my course notes!: [https://github.com/kdonavin/TensorFlow\_Info](https://github.com/kdonavin/TensorFlow_Info) Maybe it will be useful to somebody.
r/tensorflow
post
r/tensorflow
2024-05-15
Z0FBQUFBQm0wR3JpemZVbjJ1M3VLeWhmTEMwaUUxSGVfUVVVRjJvWE14UnhNVjJ1aU1ySmZGc1ZwZ29qdnVSUWJNcWpReUFEVXhwbnMzOGo3QVNDalUwbW02bUs1dllScHc9PQ==
Z0FBQUFBQm0wR3JoNEoyUmRLeWJ2UU9SNE1fSDJkVkNmcFdacmw4YUZ1Z3IzMWQzNDRMODFvYXlPREQ4MmtobXg4b2RBTUFwaFlSWTRtWVktU1YtSUctcWQ0RFIyb2RKUmlqLTFQVUpVc05yN0h3b1RDdDFVYmptYnFLTl85NXlGR1ZDN3M0NEZyLUd6ZmQ5dnRLTXl5RlQyLXZiVm1wbFR4QzZvZXNCMmplSnZpZzVsM2RqVjRFLTRuakNmb3Z1dXFUd1V3NmFHcWN0V2FDTFEzQzI0X3JTa3B3OGNWZVJNUT09
r/cryptomarkets
post
r/CryptoMarkets
2024-05-15
Z0FBQUFBQm0wR3JpTDJ2cFViZzdiaDh0NmZCZEQwUmd2aWdTWmx0Y1VWZi1lcXVnYk4tdElPWV9yM2thRmNmaDJTdjhBQko2c3U0LTB4MUxfaVhDVC1EVXlwc21uQTFWYlE9PQ==
Z0FBQUFBQm0wR3JoN3Y0cTZvSDBIMEs2am85dkgyalpkTXAyUGd3ZmhTeWVCaks4dTNFUE0zMkR2VWxWNnpZMGJyVFNBeVByektvSlpHZi1IWktlT2pvcW9sWDRoRkE5dVhyZ0FFdExZYkZVVU1pTEwzRXJpcldkMXhlaGk2TGtzbEstZE1ONWxFSDQ5S3dNal84MmZYbVhmQjdjOWlFbi1OcHN6Z0RaYUpoNDBPbk1XNlVlYmY3OFZDVnNYRnI5S1lTNXJrcnU5S3MyRm5qMnpSWUdJajl1ZEduQWwyOXRFdz09
https://www.tensorflow.org/install/pip Right, they changed to the naming convention. Have you tried this?
r/tensorflow
comment
r/tensorflow
2024-05-15
Z0FBQUFBQm0wR3JpcHBzenBmUWpabElBY0IzOEhoUU5NWmR0dTNFd2VGRkl4bUQtcVl3eXh5dGNoTTBfU0haQU16RjlyXy1oLU5ybDBFcm9FZUtKVG8zMFJlSUlDeUZ6cUE9PQ==
Z0FBQUFBQm0wR3JoM0lmVFdVQlU1R1lmUjNTUE5IZlRWR1dZZlYwYTIyakhILU1IZksyWHpHcHpteWFIai05eE5zWVh2N0N4aFJDZTRYWWF5Qmtrd0RPM2pPU2hLWVp5N1JqWFo4V3lGallhcU84dzdKSWZEY1J5QlVYU1pkWkFDNmN6RkFuWlhWaEdHMk40b1VEamVGaEVNSWtyUWRDZXBhZEk2OEd6cmlPOGpxT216a2xiMGVvbzYxSkFTUV9HOUotNzNZbGNQdTBPUmVBUkxsN3FsVC1ETUJYTG9HMFhaZz09
Tried what exactly here? I have installed Tensorflow using pip if that's your intended question
r/tensorflow
comment
r/tensorflow
2024-05-15
Z0FBQUFBQm0wR3JpdHNxa1dVVmdhNXNrTzJLNm5XNXdYRHlrTUctTlo1WDdCSnFOaWlYQk56NGlvMjVsQmwzSUM1MHJ2ckZLeWZNVWpZanFTM0JjYzJud29aX2xBN3czYWdRN0laMFkxSEtocWktY0V5VThTZ3M9
Z0FBQUFBQm0wR3Jobkk1YXRLb3dmdDJzMHJMZUNHRF9ndUxWUzZLQ1NHSlFVbXNvUk4xTklXdGlVOEdCRi1RLWlJanpoNHlTNEhPR1c2cnRDQWNmdXdGSGlWdUdaY0dXcUFRc2lrNjdmc2V2NTNoeE1pZ2VkZDVXN3pyczZTTmhOWVppVHFFV1ZZcU0zbU55Sm8yUXN6MTFpc1d0b2E1LWowMENQWTNHcFUwLXZnbXU1cVRaZjFrMG5Pb0kxQi1EU0VqUHotUjZlUFNETHpXUXJucnotTDNZdzM2NUVNSVdBUT09
Why would I want a product that signs its own name all over the output? How does it make my email better that Google can tell it came from Google? This sounds like a feature that doesn't help the customer at all.
r/deepmind
comment
r/deepmind
2024-05-15
Z0FBQUFBQm0wR3JpcnZGaVVKNVdGQWJ5STR1a00zWURKdmtsQ3NFSTAwdTNzMnh6LVFrcWVra3hFZjdnNTRfUVpjZ0M2ZHN2LWhwaC03TmJMTTFXcDJyUG1Xc3FUSVY1bGc9PQ==
Z0FBQUFBQm0wR3JoN3o1aHhrdlB5V2lrOFZQdHVuQXNiTDVZWUFUUGZQdjJRZXA0cGlPRFV4Vk9IbVpobjVUVl9TRVN5SWd6R2ZZTU84S1A2R2N4YjF2enhneUNIT2JfZWJrRDRjUlRqYnY1dTFzSW5KZ3VBcmtTMlVKQm05bUdzdUxvczdwczF0SUZtd25PbUhCTlJsenh0VHNpQ2VlUWR6U3hqdF9XM2JJcnRDR25wT0tXd2k4WlpLeUsxSDZaeG5oUjM5NFY1aXFILVRYTVljQ0NBQ01Jd2JaaWV5R3FMdz09
python3 -m pip install tensorflow[and-cuda] # Verify the installation: python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))" What does your console say? Empty array means no GPU access.
r/tensorflow
comment
r/tensorflow
2024-05-15
Z0FBQUFBQm0wR3JpWmN2b0kwZms4bUk1RF9JdWEyOGNLcVZFVGVZajRVTEpRZlpsZ3Z0clg3czRuY2ZnYm9KUlpJUlNMTFZCUlZBMzVaTWV1a2p0S2VGMFRJa2dZbHhpenc9PQ==
Z0FBQUFBQm0wR3JoMXBWZ2trYUlSWTk5WldNa1E0RkV3SkFfa3lNT2g2VVlYWkMwSVBBcDBRcVdvUmxMLTMwQ0JzR0dpSkM2SUxwTmw4TEZiUXZicnNWaEZhdzMwY2VubXJnT2lYcVJLNHJNOHFkdE90N0poSTFZc0VXRFJnWnNvZTgzYlpJeEJuX0J1Q2FxT3Z6US1WcUJJeE53bkI1d2ZrY2QwZ0pDWXFHRTJDWVplU1VrdjdvYjlWRzVQRFA3cTN3WVdUSWd4alNfLUxhNHBPSkE0aHpieFB6U296anVJZz09
r/deeplearning
post
r/deeplearning
2024-05-15
Z0FBQUFBQm0wR3JpdXIxcl8wZXp0T201UVF6dFQxRS1LdEMyNGpiUWdyUmxQSjU5LV9sQUhRT0pBODJsd05McE1BblFtVENEZXVZUDh2YUJJMTRiQmMwQU9GUldtYnNtU1E9PQ==
Z0FBQUFBQm0wR3JoWmZob29wdGhJclpXZ3RBdkhwZmRYVXJSa215OFJmVzRiaUVkbjktWmx3VUFfdkV4MEFkVlJNaE94ZDYydHpIVzFaMEU0b09sUllZRV9PeHIxaURlckxfOC0yVWl4RDFJd08zZ1R3WHZPTVhnVUhaYVZ0Sk00NVZNLVlFQzNDR0RncWJKMW9SSGtqT0szUWcxeWtnSDdDYWY5ejAzVFk5WDNSUlhqMUdvT0VsRktQdVRqM1RLV1h2R2ZETGJBM0hwUW52NzhwYmxFWWQySTdoWHFCQ2JqUT09
Do you want to do quantum computing or quantum tech in general? Afair they both do really good quantum tech, and could recommend either, but eg UNSW is the top of quantum computing in Australia. If you want to get into QC then maybe try to get into a phd there? Monash (though I'm biased lmao), Melbourne, Adelaide and Macquarie are also doing some interesting stuff general quantum tech-wise.
r/quantumcomputing
comment
r/QuantumComputing
2024-05-15
Z0FBQUFBQm0wR3JpeU9ERkRvMUhQVFp2S2h3ZXAzaTdWNkl4TmlwdzA2dWxheURBRklGMXFUcDJkYmhLUHNOMDI4Vk56UGNRN2xwMnJHeEtWN25EcFpGSS1NbkMwVHZlSlE9PQ==
Z0FBQUFBQm0wR3JoZ1FhcUhWQUpleThfRUNNdndyVV9jOEJqM1pfSXUwRGN2M2VYMzdPVzFCOHhmZm1xZ043bzlHMXpvcW5idFlhWDRGZndlQ1JBQmZzWVJKbVk0bFlydEdnbFIxbGhjX2hLb3I0R0tPVFhGeTdUUXlpUUVJVUtkbThmLVMySExZTTdld3p5cTE3TFgwYm9rNmpYcXFwX0RZMU51cmlUOHVQcXhVNjVaUm5CX0lmempTeVQ0T0xTcWxFNjM4azd1ekJvVk1DVXNJQU1sTmRSU1JfWEhKQjdudz09
min 0:53 [https://youtu.be/9btDaOcfIMY?si=XCcLYU4GQLu8F3GR&t=53](https://youtu.be/9btDaOcfIMY?si=XCcLYU4GQLu8F3GR&t=53)
r/deepmind
comment
r/deepmind
2024-05-15
Z0FBQUFBQm0wR3JpbGprVno3eWItU2U2VjF1UnZPSUcxbDhLUmowYkFRWXphbEhPZGVadXp4Nkgxem5aS3FlaGVhNmU0UTZFZWFwUWZBZmFBa1QzSUhaUXlpMFFOU1dwVFE9PQ==
Z0FBQUFBQm0wR3JoSVR3bk45YWpWcDRfdWRySXhUZE52NEt6TmphWnUwWVB2TDYtdFR0bV9IWGozY2tmUXo3Y3pzbUZGajRHTGd1alpiZFBDbWx3RnVKNWlDQjUyTDNqMUttc0o2OXNsaG1ranBZLXVtekFqQUhOa2swTU83V0M0aXl6ajB5Smh3dUVKa1BOa0tBQjhtZVhRblRWOVd5cWVHMHEwY2Y2MEx5ZVBQbGhkVlZjT1YybDk0ZnhIUXNXWkhtMWQ5ZHRXeEY0
dlt library added a very cool feature - a high level abstraction for extracting data. We're still working to improve it so feedback would be very welcome. ​ * one interface is a python dict configurable (many advantages to staying in python and not going yaml) * the other are the imperative functions that power this config based extraction, if you prefer code. ​ So if you are pulling api data, it just got simpler if you use these toolkits - the extractors we added will simplify going from what you want to pull to working pipeline, while the dlt library will do best practice loading with schema evolution, unnesting and typing, giving you an end to end best practice scalable pipeline in minutes. More details in this [blog post](https://dlthub.com/docs/blog/rest-api-source-client) which is basically a walkthrough of how you would use the declarative interface.
r/datascience
post
r/datascience
2024-05-15
Z0FBQUFBQm0wR3JpeTEydUZoaUhZMnJ4OGRHTnY0SWktc19CajdIVW9UOFkxSHNrWFRwZmtKcF81b1FNSnhOTTRJVExlQVJPa1ZJUUl0Vk9ZNlZJYVNSZFVMb3RLVXJHX1BTNDRmbEduendoSF9lcjVfRGpKVDg9
Z0FBQUFBQm0wR3JoRk9mdVhtVDJfZE0zZE1vNTF2RHhXMGhEWWpzUDZSRnA3RXotc3JVRGpQeDJHNlFoSEE4YzQ0LTc4TUF4YmhkQl80NmFyOGdsY2ZGWnlLVUNmT01lWTF2Yy1oMUgxWE1qQ0RsOUt0U1dMajJVYVNuUF9wUUkyLXdod0NOQnNCYzlvaF9KbjlFVkxIMVM0V2REbXd5N3hTZ0ZYUWJOVGVfMFYwcXVMaXNhSXNGTjZjZDh6OXdRRS1Ub3VLYmNoWWFVQk9DS3ZXZUt3MEdVVExsODEwdm90dz09
r/tech
post
r/tech
2024-05-15
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Spam, fake email, ai generated books, fake scientific papers, ai generated school thesis... Yeah, i think this would help. If it works, ofk.
r/deepmind
comment
r/deepmind
2024-05-15
Z0FBQUFBQm0wR3JpdmZGVzl0S0pVTGRmaENTYXI2Sm5mTDd3SjB2MGxfTUdCd1I5Z2NhbmVlSVVyOGlyUExVcm5vSzJVOHZqSHBRbnVEVWhFOVM1dzF4RFNsWmdCU3lVbGc9PQ==
Z0FBQUFBQm0wR3JodlhnaGJWb21RY2Q5Qk43WHkyUXhwODhKSlduLWUzdW4xWUM3UWdXUVhLNEo2LVRMaUVEdjJhYm5vaEtLQTcxbkNaV2JZX0h5QmtkRUVEWnhNa2RfREpaVVJuTlNiRDdZMk54Z0ZnWWFUQXdVMFp5VV9iakw3dFMzeFhEVUNpdjVyWkk2NDJuNlNLcWt1WUtkNFpkQnhvaEJuXzVOZ0tueC1fSEVPQlRoUWtlZVhVeGNMNHZIY1c0TC0ycXdCekxEUHBmYUlwRnVJNURib2NIdHhLWUJpUT09
So... not helping the customer, then, as I said.
r/deepmind
comment
r/deepmind
2024-05-15
Z0FBQUFBQm0wR3JpRmlmY3JwOE9hNXdXUDQ2SUhzZzVvT3BYTTEtMWpER25wb3JhVFJDUkJScFVUMkNWa2YwNVg4SVotQjJNTXVSc291YmU0dUFUUUJYenVVUG1nUGliZHc9PQ==
Z0FBQUFBQm0wR3JoOUVqWUNZcldqeTZUdEVaMW14bkI1RXcwYlpXZWhNeGdtUkU2Uk15RV8wVEFjQVNzLUNidWQ1Mkh6QlVSbFRyQWUwTzgydzFJaDZXZGR4VkNsbzFwZmg5RVlJd1RLN0FTMVNLaEg2c0x0VFpVTmJJTkFuajM3Zll3RV9BXzRoT1QyeFJLc21ub3JjT1hpSmZ5azl6ZDNVSHZzS19BZXdQS0hfbE43TDV6TVJRZDlQcEt5djUwNk4yWWhteVQzNkZfU29YaTdhb1drWExPbTdYRDJVR2ZKdz09
- Artificial intelligence learning to lie poses dangers as models can deceive through manipulation, sycophancy, and cheating to achieve their goals. - Researchers fear that AI deception could lead to forming coalitions for power, with examples like Meta's Cicero model in a strategy game. - AI models have shown various deceptive behaviors like bluffing, haggling, and pretending, raising concerns about the ability to ensure honesty in AI. - Engineers have different approaches to AI safety, with some advocating for measures while others downplay the risks of AI deception. - There are concerns that super-intelligent AI could use deception to gain power, similar to how wealthy individuals historically have. Source: https://english.elpais.com/technology/2024-05-14/why-it-is-so-dangerous-for-ai-to-learn-how-to-lie-it-will-deceive-us-like-the-rich.html
r/artificial
post
r/artificial
2024-05-15
Z0FBQUFBQm0wR3Jpbzh2em1VWlNFR1pLM1lEY1FrMTZwb0ZUYmd0dG9GWDZWdGMzaUtlU3JmVHh5RVlKWmhFVGQ5aHo2QmJMQThERU92RTdlMmE3cjd3U2M4MHVaLW1jVHc9PQ==
Z0FBQUFBQm0wR3JoeTJBX29SY2p1alAzX0Jyd3gxTEJrbTBDeTcwWFhUeTRac0NfRmhBeWJWeUZfWVNSYmJkWGZQMWNkNWxwSlJnemxTRWRkM1hZcGFRWWdXQ19EQm53NDlxUVkxaWRLQV9vNU5QZUZLWXNseVBWRFU1bm5MR2JmRUxIbXFBdlpSal8wQnJuQnhGTjhGRWUwdHJDdlVNLUx0M19oQ2l0YkVwbTFzRW14ME1zdTR6ck5qUV9BeHpQQzY3TjR6ZmJrY1lCU092cVZsblB2T1M4RXFHbTFwLS10QT09
## Polkadot News Interested in hearing an in-depth discussion on Polkadot OpenGov? Check out the latest OpenGov Office Hours with Alice\_und\_Bob. [https://twitter.com/alice\_und\_bob/status/1790430046298972586](https://twitter.com/alice_und_bob/status/1790430046298972586) Decentralized Lugano, including an on-chain governance panel including me, is tomorrow in Lugano, Switzerland. [https://www.scytale.digital/lugano](https://www.scytale.digital/lugano) As part of the initiative to stabilize the Polkadot SDK, there is an initiative for an “omninode”, so most or all parachains can use the same Polkadot node software. [https://forum.polkadot.network/t/polkadot-parachain-omni-node-gathering-ideas-and-feedback/7823](https://forum.polkadot.network/t/polkadot-parachain-omni-node-gathering-ideas-and-feedback/7823) ## Kusama News Identity is currently being migrated from the Kusama Relay Chain to the People Chain. This process should complete later today. [https://kusama.subscan.io/extrinsic?page=1&time\_dimension=date&module=identitymigrator&call=reap\_identity](https://kusama.subscan.io/extrinsic?page=1&time_dimension=date&module=identitymigrator&call=reap_identity) Referendum 388, proposing to re-enable identity on Kusama, is passing with 94% in favor. [https://kusama.polkassembly.io/referenda/388](https://kusama.polkassembly.io/referenda/388) The W3F Technical Education team is developing an Educhain parachain. It is now live on Rococo. [https://twitter.com/DrW3RK/status/1790644078272495797](https://twitter.com/DrW3RK/status/1790644078272495797)
r/polkadot
post
r/Polkadot
2024-05-15
Z0FBQUFBQm0wR3JpR1hhREFOdGRWQ1lZT2tacmNKNm9fZ041ZnFVVDJlYkxSRl9hY0ZDVS1ZamFVXzlydlg1S0JTcFlpVDd2S3I0b19mbWRwME9TcllNM3VJSVpxRzl2ZkE9PQ==
Z0FBQUFBQm0wR3JoUUxIRHRSUWs3M2dtNXZvTURCRGhKamZtZlU5aDhHVFIyYU5VMmpVSVBrdm5ldXBZbzB2MVlNbHN2VVY4cGp1M3MyUzN0YzVVYms1UFAwdGNGWGRLN1Z3b2VaYXk0NmZCbGpuRTN0N2Z5U2lKa1RlWVlJbTBuYVlILUxjWWxleHFJVVNOWFpCM3ZNMDNHb0p5OVcyeER1NzU4SmNIVjlSNEdKSjQ5bFNxd2tJPQ==
Sure, Ill look into it. Thanks!
r/quantumcomputing
comment
r/QuantumComputing
2024-05-15
Z0FBQUFBQm0wR3JpcGlwUTZKNk1kZVgtUDVoQlNDbjA5YTdXTU1TYmtsbTlBdG5vSHgtNjBlTDAtNHFsd3p2V2lteHdKZGZyR18yUkxZemVtNkREUzBvVjRFRXJ3RU5lRlE9PQ==
Z0FBQUFBQm0wR3JobkthRDRQejVJaTBYSXd5NlpJRnU2dUhaVDdJUUJsbjdkN2FDNmhjdWJlckM2TFBGcVpzUnJsOXU2ejY3dDFVeTU4QkxjRXBPRF95Um1ZeVBOZW1HM3pId0s5Nm1obVFzN1NETU9MZ0NsWGVzZHExb090M0pSSzNqWUtzdjlBeURMaGRyRmtTMGx6RGMxSkpKaGNwbmtwQWR2SHpIeDVvN01ndmhoLTA0MFdDRFgyeHJibU5KMnFqZzF5WGVmM3o2SHd3eHVRWHhMN1h3T29maGJQd1hhZz09
Thanks for the video link!
r/quantumcomputing
comment
r/QuantumComputing
2024-05-15
Z0FBQUFBQm0wR3JpbktuOEZESW5ZWWJHS05ia2Y3UGl6WWUxLWYxdkhVMzBTbnR1UDRvaGlhdzRRZjE5MEtJYXdHS0Q5OEV2a2NlMl9iY1BrUVQ5Sl80ZkVlaWlwMTNpQmc9PQ==
Z0FBQUFBQm0wR3JoSUEyUGQ5dk5pM2FTTTZjcGN4c2RkRkVhbzBnUXg5TUJYdFktWHNnTWZYQlJ3REFmUi03Y0F0VmZjMk4yQmlDQnVWb0RURVVEU09rdXFzZFRaRWZnUFNhTGZTc1dkMnhmWkIwUmtwM3p2RzNPNDdyS3pZYTF4RnhaOVJzd1NTeXllUzB4djZacUhTdGlFd05fNnN1bU9feWxxeE9SbUh5aTlJTHlMLXJvTlBJZ0NVbFpoZnVqck5EdGlLMjBNRjA3RzNJTnVGSkZhdEN6cGNfSlVURndtQT09
r/bitcoincash
post
r/Bitcoincash
2024-05-15
Z0FBQUFBQm0wR3JpbFhDOVJleWU3ZFBXaERJRXZsZHhPeldsVGdEdE9hdjlYbmJoTzVFVGE3LUdtd1dPaVBmellpNkhkcjQteXdIOExqMWU5QXR0c0N6X0ZDb1ZEeEFSeVM4ZGw2SXJYM1Q4UlhHUDJOZVV0OHM9
Z0FBQUFBQm0wR3Joajl5WGQ5VkltclZYSnAzV2JNRkhMLVVxMHoxZnNIb2p1RnFNQTJxa052MmdJOHI3dzdSUVBhY2VEd1BEdWFvWmJtaFROelZXdlBGSzNnOWR3TzJraEVnck5BdDdUX2UtODRsVVpoWHg5VGhFUnJISTdubG9Wa3A3ZVB1U0VaQS00akZoOW8ySVZLVTRRcWZpVXVUSTF6eU9YYnVFbVpnTkw3UnVNUEtyVEZ2ZnNpbi1HRFhRcHIwUTFhdnFHSHZhNVBXN3J6c0ZOcG1HN29menNWRW5RUT09
r/bitcoin
post
r/Bitcoin
2024-05-15
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Z0FBQUFBQm0wR3JodWR2bDJHMkxRYjZNamh4aUJiTGpudHZtcUZPWVl1SmNwRUlNWFBFc0pVbi1UNlNEallKNVVhQzdJanUxYnB4eVJya1c3UVVkbnliLTVfU19CdnJsLXpDaC16TFpzdlZqTWZKQUNuTmJMQWU0czVSTG5tYm1OdG1rTWM3X1ZsV18zXy0wak1NYzRMRFVEeDYwTkJQT19mNEFSM1I1RzZ6cWtHZ3JmekEwckNEY3ZxVG5RS3ROTFdjV053MEU5Skp5Q21CdlZrVGFFSkpPWmxpSmRkRDFSUT09
r/cryptomarkets
post
r/CryptoMarkets
2024-05-15
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Z0FBQUFBQm0wR3JoLWNmdHFiX1ZWenVfaEotT1prRmNDMGpZQUpIOEN5VE9Zd2dmRExvYU03c0d1SUtMWGtEcTR0b0RoSS1RYVVMdXR5bkIxbm9vS2dXN1lBTXJWLXc5QzM1SkZOY3NWQjBqTXFUeDFkTjFJZHB1eE1TMWFVVm9LeVFSbXZjbVpZYnBSMjRVU0NFWXBrbXNGRFd3UE0xd2ZJRGtYQ1RjRnd5QkJVSUd3QzJ5NmJ4Z2lpMW4wcFNNV0otWjQxdmV3QjNJRWFieExxUnlzYXJrd2gxRl95YW5qUT09
You can catch up with all our GP Spaces and GP Shorts on our YouTube channel: [youtube.com/@generalprotocols](http://youtube.com/@generalprotocols)
r/bitcoincash
comment
r/Bitcoincash
2024-05-15
Z0FBQUFBQm0wR3JpTTBpaTY4N08tUkJUWWxEWEU5SWs5OGptMVhlWHBISmUxWXc5YnhzWjVJM1ZzUlpQOGhzMTVyMEpZSlQ3TktWNGJpeU9UMDVLbUplTjBqV2FQLXRyZ2dSdjQ0eXRSRlhPSGVINkFnRWVuTnc9
Z0FBQUFBQm0wR3JoYlZOeENoUHNTUEhfdHIyck84Y1QtQTNBLVMxcVVCQldWaHg5blZ5aGVXeTlIcUhsRTVVa0FnREtXLUFOM1NVUi1GTFo3dVBBRHZjeGNaQ096V2tnQXcyRzlpbTR1VmZOdVFkR3lUQlZyNjF1TmR5R01ZLU9uMnJQZzcxdVlYV0NjZmdMY1dZQmVZWElCQWpRVWlmel82LUs5Qm54bWN5OThJdm5NMUVLRXRiQTdicndib0FVd3dXQjNreDhkQ0tjSjc2TVlMV1BjUnFVV013MFJPNWVrQT09
Have a general question? Want to offer some commentary on markets? Maybe you would just like to throw out a neat fact that doesn't warrant a self post? Feel free to post here! If your question is "I have $10,000, what do I do?" or other "advice for my personal situation" questions, you should include relevant information, such as the following: * How old are you? What country do you live in? * Are you employed/making income? How much? * What are your objectives with this money? (Buy a house? Retirement savings?) * What is your time horizon? Do you need this money next month? Next 20yrs? * What is your risk tolerance? (Do you mind risking it at blackjack or do you need to know its 100% safe?) * What are you current holdings? (Do you already have exposure to specific funds and sectors? Any other assets?) * Any big debts (include interest rate) or expenses? * And any other relevant financial information will be useful to give you a proper answer. Please consider consulting our FAQ first - https://www.reddit.com/r/investing/wiki/faq And our [side bar](https://www.reddit.com/r/investing/about/sidebar) also has useful resources. If you are new to investing - please refer to Wiki - [Getting Started](https://www.reddit.com/r/investing/wiki/index/gettingstarted/) The reading list in the wiki has a list of books ranging from light reading to advanced topics depending on your knowledge level. Link here - [Reading List](https://www.reddit.com/r/investing/wiki/readinglist) Check the resources in the sidebar. Be aware that these answers are just opinions of Redditors and should be used as a starting point for your research. You should strongly consider seeing a registered investment adviser if you need professional support before making any financial decisions!
r/investing
post
r/investing
2024-05-15
Z0FBQUFBQm0wR3JpZXM5SkNtWXV0TWVqcmEzNVRreVNfNGcyU1FwMjE4SGRHeGxMM28wVzhFRjhvbW5PVUpfM1I2TWlJcjNYSlRaOGw0dFhmb1BUenpFd3UtNzZHRXAxQUE9PQ==
Z0FBQUFBQm0wR3JoTzVDSmhXVHVFRmNuZHk2N3YxNUNINmpKM2tfLUVpSWJUTVMtaGdIMVFBanlSb2tvUWlUZmltM2gwaUJPQVk5U3FJbllWUXJQLW5qUHpicGtjTWdHX1BkZzNkQUVaRTRkUERMY1I5QUlSVFRSbUxfZlU2alVZOE10M2Y1Vk5zX21zTHl6NWJObkR3NExySVRlYWM1TDF4ZFJtMWtOWE9DRjNmU1Q1TUtVaDVtbk9faXhtYUNfRkRoUFRMZWV1ekhsSWdybGZaTkp3ZHZZS3hwbVRBMjJnQT09
There is no such package as tensorflow\[and-cuda\]. I think that's just referring to the fact that you also need cuda alongside tensorflow
r/tensorflow
comment
r/tensorflow
2024-05-15
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Z0FBQUFBQm0wR3Joakdrd1hWUk5aM3ZfVzlDUWhNWTNrYUFPUTllUHI2WXNYLTExa1NCTGc4YXZpa1pPWDZaNE9vMXJkaUU4SWR5TjQ2M09vNGhOVTBmTjZCdnZKVmdSQ1lJRlQtT1JOazZRa2JZVXQ3LTBWT1B0ZmdPVWNTQzAydWRtT0VFX2d5a1p1SzRtdFA5N2N1TTk3VFhZT1BHV2F5X1ZvaGZuaENfNlM3LVFkUFJCSDJJRUlWVllyeTRfMllzX0lJWDlFMlZkWWpYZEZtSzBTbjNMdXhpYmxYclFmdz09
r/news
post
r/news
2024-05-15
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Z0FBQUFBQm0wR3JoNXlNd3RmMXdMZnpyWXhLUVQzT0Q2RzR5Ym41VEFTODA0cS1sTUx0cFpXbVpyd0tmNjhyczExWEFXTUNoMUc3ZFM0bVRLY05PSnBQcEdTMHppZENWeUk3ekt0aUFoX2hXLWJDaVpWZ0JnUlpTUVVOeFJ3QlNqQ3lDUFdXQi1sd21pcXdyU3lKemdnTm9sc1ZHNXRON09YRnkwS2Y1dE9QNGdsbGJla3BrNlJjQW5tX19GWDZsWlp6dkhOQkxYMHB4b3E5VjByeEN5eFZKeG5sNENyWFpudz09
\`\`\` root@f886b6dbe231:/# pip install "tensorflow\[and-cuda\]" Collecting tensorflow\[and-cuda\] Downloading tensorflow-2.16.1-cp310-cp310-manylinux\_2\_17\_x86\_64.manylinux2014\_x86\_64.whl (589.8 MB) ━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 20.1/589.8 MB 6.6 MB/s eta 0:01:26 ERROR: Operation cancelled by user \`\`\` Depending on your shell, try quoting the entire package name.
r/tensorflow
comment
r/tensorflow
2024-05-15
Z0FBQUFBQm0wR3JpUm84R1g3WktFUncyWU5yWktDUnBEQTJ4TWRJNUFrME15dmc4Q21yMlNKc2V0c2E3Tmw3cmlDZ0lPNkFOMzRoWF9IWU9oOGxoak1WdEd0M05yQ0NYNXc9PQ==
Z0FBQUFBQm0wR3JoamRpZWNFVjRnaHp3bmxUNjZOSmRCRzZ3SFdJbnVmQkR2UkFwdU82U2tyRUVNTmlpS09iNkNkSmFHcXV1TzdSRkNQVkt3M05Kd0lEZDgtdEhReVdOZmJaYXYyendVcHVsNllpTXpXa05FSUNwT1Zham9lZHFheFozSnlkYUZyZWd6R292c2pYTWJNdTNPQjFkeTNLRkpXbHZBWXdNUDhRblNsOFhHemlITmhsdHRlMTNGZmM4UDVnNXk1c3ZlWUsxTHBpU0oxYlphSjkzTEtJZkVxX25vQT09
r/cryptomarkets
post
r/CryptoMarkets
2024-05-15
Z0FBQUFBQm0wR3JpRk9ZMzc3N1pnTFlqdjQ0elJRQV9sdk5BcVFya1lqbXlNbnlWNmdRS1RsSmZYU1IxYnhicWJoZVUzZTNGbERVZ1RQWFlUQ2tJV2ZMVlNSc2tqRHRWd2c9PQ==
Z0FBQUFBQm0wR3JoOHdMLTlHNVlNRmZuTlZxRTU2ZFFsNDZnSFMtb2Zra1V5c3g1RFBEYWVwVG5FUV9Id0NEQVgwVVhQV1g5WkZvaXdQNXVORklKNGlZYW5BLUtZU0o4emg2dDQxZ25EeXRpSGRobUNKcFAxZ2c2azZraUhpdFo2bk55UXJCOU44Z1FjWTJsMS0wTDRpblpITFN5UkVvRmZtbG15OXpDTDhfck5XYnZ4R0xGcFVicm00Q0k2ZTdrakg5NjBraXRpcUhxVDZxeGJqUzVzd2xtQV8zWlR3SFhRQT09
r/solana
post
r/solana
2024-05-15
Z0FBQUFBQm0wR3JpWl9yMUsxeW4wZ25Sb3I2TVBrVHpHekluRDAwNXFIbnllQTgtaGxmcW1EQVdRcDJZREZLYUVHTmstVmV0QzFqbm9RbjM5NlhwQ2FGZ0lyN3lTSVc2Tnc9PQ==
Z0FBQUFBQm0wR3JoRmhPUkY4YnlWZGJsNEFtMnJkOC1CbGREN3pBdWs0eEZ6LVhUQmVXZUVNY1VSZ1RCcWZsVmI4MTJGa2d5RDFUaEpVcmcycUNBUlhwb1J6UGRVbEk4M1lya1VLNU9ZZkZwZmM0SEtSNlJNQTV5d1lXRXhGSXUwNDhDVjVybmdGRldVTV8wN0tBaXZDaUFUZFlrdGJ6d2U5WDZpUG81cTNqVjVCc1N4d3BRdjlTTkFuQmx3YS1vS1Q3WnJUcTU0amROcXloLUZVM296aTM5b2JZM19qbEVNQT09
What do you guys think about them. Which do you think is best and most stable long term. I know Dai cannot freeze accounts like USDT and USDC but what about GHO and crvUSD, can they freeze accounts?
r/ethereum
post
r/ethereum
2024-05-15
Z0FBQUFBQm0wR3JpNzJHcUQ1eXlEZ1dYNVZIMWxneG1hdjJWd01sLUl2a3A5VUFnWjFmVjJvazRRenFvTE1GemIwcnJmVTVCa2hwS0wyUWEzdmZXMGg4ZjJvXzY2aHVqNWc9PQ==
Z0FBQUFBQm0wR3JoN3lBcmlvczRLOXVuOWhfblB2cGduQVNUc1ZycVJpNDE1aGNCRVBHNzlsUE1BQlhTUmhsMnM3SE5RRFZYbGt6RkdncS1OVEx4cnpFdVZSVXdMZ1Z3UzFUQ1ZPX3FXWU1kanpwQmNzSGl2VTljN1RpMF94aXV1X0laVEJMa2xuSkZNQnZ0bWpidjNqUWNQS254aDRFZ1RWaWQ4M0E4THNZMVZMdzlHeC1NQ040PQ==
r/ethtrader
post
r/ethtrader
2024-05-15
Z0FBQUFBQm0wR3JpOEtDbl9iWm1vYU41SkRZSFZKbERsclhuNE1taWQ4Qjk1YjFZOWJXS3A0ZmZvc2dveldOekdUT28xVzc3aGRPZWp3OVRNWUJha05ZR21XSkNTN05kNmc9PQ==
Z0FBQUFBQm0wR3JoZGNYYW44Y3lLYXJJN0tjamhCV05wZWx1ZFY3bGhMX2lNaU1LcU52OWx4OEY0UXV0YTJGRDR5YVlmZ253ZngzNW81VFNNaWlxUkZWNDNBZ2dJaUhzMW14dDFkRU1EOEVMTUhaOVRfRC1GZFo0a09uR2YwTHhjc1VQaUg0WUJaS1N3cEpBUGl6S3ZFOXdmdHg1cXhBUHVjNUdrMUFXRi1GeTFOdVFBTUdnOXZjPQ==
r/cryptomarkets
post
r/CryptoMarkets
2024-05-15
Z0FBQUFBQm0wR3JpWi1vMldhTXpNbXZpWXdNQUkwM2pIZHpIRDlmc1l4R0hWeGdMSERSMHZnaEkwZEthdzJKRDBGQ2RYX2dOTWJSdmRVd2ZlZWhrR3lWemNsc0ZvbW1JQ2c9PQ==
Z0FBQUFBQm0wR3Joc2JiLS1HeDhSVmw3QmROa2ZTajlWbk1vZVJkSmtEUE5OQXNndG9NTUQ2Umd2QnExVXhWbXVweUwzdjFsZFdMV3duNDZtQ1JxSlVPd0l1UTg3VzFWUWJVOVp4TkU2RnN5cUMxdWgzcG53dnc1anBHSVVudU9oeFRXUDZfNkl6SUY2c0R4cklVNHJnZmk0bzlXNWgycElBSkFSQ0I5YTZjSVQ1U2RrZ3JEV2lPUFhQZi04ZEVLeTI2Mndjdmw2RUpFVUtaVnBxX3k3ZDNvTHozWEIxVEJYUT09
arxiv: [https://arxiv.org/pdf/2405.07987](https://arxiv.org/pdf/2405.07987) Project page: [https://phillipi.github.io/prh/](https://phillipi.github.io/prh/) github: [https://github.com/minyoungg/platonic-rep/](https://github.com/minyoungg/platonic-rep/) Interesting positional paper on the convergence of self-supervised, multi-modal representation learning.
r/machinelearning
post
r/MachineLearning
2024-05-15
Z0FBQUFBQm0wR3JpbmYzWWlNWEp3NEo2b3BURTlTakg3dGFGdklsb2tNMDBKTUVyZzIxLUFtTUlYYzJRdXdYWVUzY0tlb0JMZzcxNmhpXzljNjJMSmw0cS0wMzRtZmljRUE9PQ==
Z0FBQUFBQm0wR3JoMkstZ1hSak51R2pEYTl6STVzc3VsQmpDYVZhWXpBeWxQN3NIMXUxdHd0bURIRDM1YVVWVXdkc3hoTF9UUUw3SWJwdjZ5dDlObTFrWE01WWx2alVmX2toczlmTmdjTklZd21DQW16MndaQUNTUzJBLXhEMERHVkwyanZqb3FZODdybnlTS2lhTk5TME9wZks0U2hPZ0hMWC1hSDBfaTJuVkdQVUR0TzVEUjJnSjBFSkNFcEgzUkZGYUNzZ05GUGphdWdfcHlNZ01lLUh1WjJhV1B3ZV9kdz09
r/humanrights
post
r/humanrights
2024-05-15
Z0FBQUFBQm0wR3JpUTFTd3BlOXlZYkNBb3ZlVm92bFdFRTJueG84Q0dxMEFBUXdWcERRNkltLTY5cjNVd3pXaV9Vc3N6ZF9fU1lqbHB4aExTYTUtbnc1ck4zTnV4VlJVZWxOTklhcFR2Y1hBc1FCSzJBMk5lQ3M9
Z0FBQUFBQm0wR3JoUU1DbkpvZWhlNFZ5UmFEaHRHYS1lWmUzT0RuSWU2eHR3aDRIel9yTUJkaVdJbHNaMjY1bmdkVGluelRjOTdkZ0J5UFZIMFctR1hGeDhXaEhodjhGNHhuVzdpOS00NGtXWWNlTVNvekh3NGtZbkE1cFg2RmliRXZjb1daZEYtWktPREFnV3lwTTdGNGJhVkR1UkpzQmZIblFaS1RGTjIwMlZVX0NoazVZUnJOUnlvUE50QkdaaWIzVDNfQk1Fb3Ja
❯ python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))" 2024-05-15 15:08:02.312933: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2024-05-15 15:08:02.348419: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2024-05-15 15:08:02.978770: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT 2024-05-15 15:08:04.455323: E external/local_xla/xla/stream_executor/cuda/cuda_driver.cc:282] failed call to cuInit: CUDA_ERROR_UNKNOWN: unknown error 2024-05-15 15:08:04.455348: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:134] retrieving CUDA diagnostic information for host: sagnik-lenovo 2024-05-15 15:08:04.455353: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:141] hostname: sagnik-lenovo 2024-05-15 15:08:04.455440: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:165] libcuda reported version is: 545.29.6 2024-05-15 15:08:04.455452: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:169] kernel reported version is: 545.29.6 2024-05-15 15:08:04.455455: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:248] kernel version seems to match DSO: 545.29.6 [] I got this. Evidently, tensorflow is not detecting my GPU
r/tensorflow
comment
r/tensorflow
2024-05-15
Z0FBQUFBQm0wR3JpVGEtUGMxZElreUxHTEZxcVdnUFQyc2s3YzRqbHdLMzhxbE1keVZoQng3ZXYtM3lSQ2t5cEhEZ0JUM1dMN1R4cmhsMDNJM3FFWlRnRXdBTl9oWGV0cXZ2YXlveDg5bEVqWGswT0xnR0FWTjg9
Z0FBQUFBQm0wR3JoN1EyTkRkLWw1YVVxVFpsRDQ3aEVzamZoTzkwVHlWUF9xNk9IeXdjajV0YWN4a1ZHYnFxMm9rcmlfN3JaNEJJNEZmTWs4b096dXllS0dfeEg1WFJkbmpvNGNkS0gwWUZHdWZWQXVqdnczUXJkSXowbl9FME9McVJORWpsOFd6aVpyYlowT3VIT3hxTmpPNm9DTVYzcG0zTk44R0k5VXdic2JMN3hmLUFueWl0UTkteTBJRHBTMGtQUHhxN2d0UGVBdURfa3pUSkxSOElWVWNWeWR0eEpVZz09
r/technology
post
r/technology
2024-05-15
Z0FBQUFBQm0wR3JpYzlJdWhRQ2JPblJURWM4U01SdFh0Umd0aWlydFhSaldRMmc4VXE0YkIzNVhPZDYyeHEzd1VVOEdWUDlxVGpNX3Rka21KMG43T2d1UlIwbW8zVzBremc9PQ==
Z0FBQUFBQm0wR3JoZzhoekdSTlFsR1U4VEVubTBVdHpOanJrUkI4VUVPMS1tQ044allKSGVjUjVkZGk0aHg4YTBnOXktZmgwaXlla2tnRVdoWU03UW1tSHRTbHJ6cmhhd25JbVRjb3lnSVhZU3pEU1Z0cGpVUW04VEhYaWJFVFpPTVZGdlB1YXlHWlh0RlkwNFJ3UnU0S190Um1halJnWXZaMlk3blRKb3hRN2dCUkR2Z1R0SERTRElOeGRfMml2V010WlFmRmlYV3NndWdPcGp3djNfUWl1UktRU05Fb2tVZz09
Free is limited to 5-10 messages per hour, and it looks like the free version won't get live conversation, IE all the exciting stuff shown in the stream.
r/gpt3
comment
r/GPT3
2024-05-15
Z0FBQUFBQm0wR3JpbnFnZzEzaUlJTzFPeklVRzlTQVRTUkZBVzRMeWZsVDlsLV85cFdoLUJnaUI4b2ZJcjI4OFkxMHJ6N0dpaHYxRHI1WkxqSzhHaTN0VDJsX0ZWZmlFeUE9PQ==
Z0FBQUFBQm0wR3JoVnBNTFU3QjRTVlZlR01MZHlzVkFDWXdNVk1GRmFqMl85bEhvMDhielVFU284WTFzbF9pUWZxTlZDRmZrNl8wdlpUU053VXNmS2k4ZDB0WXotZ1d6bzA4b2xYQ1E3TGJrekI3a1pNcUhmLVl3NDROMUM5X05pYmI2QlB4MXVXSmF0TFJxQ2xiVm1DN1VTTGFveFptSjJRNzVXZmhVdF9ocEZHbkFydWI0NTNsU2I3RDhfcTlMbnM3X1M0Rl9uWHRLeDdfR1JYSnRSWF9hLS1YbmJZdEJSQT09
failed call to cuInit: CUDA_ERROR_UNKNOWN: unknown error At least you know it tried. What does `nvidia-smi` say?
r/tensorflow
comment
r/tensorflow
2024-05-15
Z0FBQUFBQm0wR3JpU20wYmtlM1ROb2F4Mnl5S292d082Mmw1TnhwMUE1TGNJWDRXWmpwdDFWbnVLdi1pM0dyWjNaWnlOWnA2MTFlNTFrZnhXMVNPMF91VVRCaEU0LVFkbGc9PQ==
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❯ nvidia-smi Wed May 15 15:16:46 2024 +---------------------------------------------------------------------------------------+ | NVIDIA-SMI 545.29.06 Driver Version: 545.29.06 CUDA Version: 12.3 | |-----------------------------------------+----------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+======================+======================| | 0 NVIDIA GeForce RTX 3050 ... Off | 00000000:01:00.0 Off | N/A | | N/A 43C P0 752W / 60W | 4MiB / 4096MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+ +---------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=======================================================================================| | 0 N/A N/A 1543 G /usr/bin/gnome-shell 1MiB | +---------------------------------------------------------------------------------------+ I do think that I need to manually install CUDA and CuDNN
r/tensorflow
comment
r/tensorflow
2024-05-15
Z0FBQUFBQm0wR3JpNGN3Y2poOXk1TnVnaU4tZlZiQkt5X00zczdBeWczV2VmNS1hX3ZNd2tvT3I4OE5PU1NkU241ZThSXzdmazYyQlRRN2c0ZWFjZXBFaURnUVEwcmU3dWgtZEFEXzE5TEVrc2kyLWt3N2RpNUU9
Z0FBQUFBQm0wR3JoWUFOXzVZQ0ZyVFRtRG0tclJVempDUDRETGVSSEVtaXZiVkNfUHNfcTAyNjNDZ2JuYWJEbEJSdzdnRkwzMmZudFhvTTBvc0JqRjNtSDJHSUJ3cnFMdUg4NmZKM21lSGRFN0x6dUN1TWdZbTdoWVZSOWhqcU9Kdnc5d3A4czJYSVdJQmFPNmFCOXEyY2JwVHRackpqSkRoUlRDTVZ4cmctV1RMQlg5ZThrOWl5S1Fab0l0MDJxN1ZleDZuV3dkUWlQYVhZcWlnWURmZkZLTXhmZDU1bWh3dz09
**Paper**: [https://arxiv.org/abs/2405.07761](https://arxiv.org/abs/2405.07761) **Abstract**: >Equation discovery is aimed at directly extracting physical laws from data and has emerged as a pivotal research domain. Previous methods based on symbolic mathematics have achieved substantial advancements, but often require the design of implementation of complex algorithms. In this paper, we introduce a new framework that utilizes natural language-based prompts to guide large language models (LLMs) in automatically mining governing equations from data. Specifically, we first utilize the generation capability of LLMs to generate diverse equations in string form, and then evaluate the generated equations based on observations. In the optimization phase, we propose two alternately iterated strategies to optimize generated equations collaboratively. The first strategy is to take LLMs as a black-box optimizer and achieve equation self-improvement based on historical samples and their performance. The second strategy is to instruct LLMs to perform evolutionary operators for global search. Experiments are extensively conducted on both partial differential equations and ordinary differential equations. Results demonstrate that our framework can discover effective equations to reveal the underlying physical laws under various nonlinear dynamic systems. Further comparisons are made with state-of-the-art models, demonstrating good stability and usability. Our framework substantially lowers the barriers to learning and applying equation discovery techniques, demonstrating the application potential of LLMs in the field of knowledge discovery.
r/machinelearning
post
r/MachineLearning
2024-05-15
Z0FBQUFBQm0wR3JpZmlLdld2VkxhRjcwM2ZTcFg4cUF2MDgtYXVZcGhCeWhFRjVpb2hDZUFFNkdQUEpZY1pud2M5NE8td1RSdDByQzIwWm5vc2JFMlhJdGdZZnI2MVd3c1E9PQ==
Z0FBQUFBQm0wR3JobzEyc1JnOHhfX2FhOEJpWkVMVlhmOHVpbEszUlhvSlV5YWlDSDVlbXRad2c1anpDdlQwZkJZclMwTWFnczQ5TDFMX1U1cFNZc1N3SU9zazVUR0JxN21xaVI0T1J2azduNjg2Z3p1WHNfYkFXc3c0NFBWSndmRWtac0dzRmdHaXpvcGRUa3pLZXhmNHhiVU1XcGtieDlQYzBJZnp3NHc1anF2TWtjX29yaWhCSzV3SzRUSy1oeXd6WlNWZWdYOXJDMG1QeDdMdlpOR2Y3XzBYUDFZU1FrZz09
maybe permission issue? try running as root?
r/tensorflow
comment
r/tensorflow
2024-05-15
Z0FBQUFBQm0wR3JpVmo5LXVGS21MUlBsc0JEVnZLUkxCZ3hrcDJyUWVjcXZtTEEtYVZGVDEwSmo1dDRGZEJBYzNsS2Q5MlZpWmRsMktILVQ3dEZ3WHVsUU84YTBqWGlSRXc9PQ==
Z0FBQUFBQm0wR3JoVDNjQS03eURGM1RrRWNHa0RYSlNnSlZDT3B2Z3I3MVMzTHhyYXVsR0psME1TYVY5azBrTDVvSVNWTXFhaUF5OE9EZndpNDd5Uk5SUmhia1VlSDV1OVd4SURqbW84MlBMczFsTFVFamlMNlEtT21PSDdtb2VEU2JhS2pWQTI1aXVVUnhNUXhyd3NsTExFcVBMbl94ejFsMEl3b25TM0MzNjVrWUMxR1hxX0M4R0hOWmhxaVpvWEcwODhnNlJfOTVuRTl3QThGa2N5NDRrVE95aUxhemtwdz09
Same result running python with sudo I think tensorflow\[and-cuda\] only installs the interface tensorflow need to communicate with cuda. i stiill need to install cuda and cudnn
r/tensorflow
comment
r/tensorflow
2024-05-15
Z0FBQUFBQm0wR3JpOF9UQkFtc3prVEltOFMxZVhzN3B4Yl9EYXp6ZWJwSDk3c2U2U0R1elpkay1rN2RwZ05Ta0p3QmplSWl5N0t6X0l3dzlaRUV1NFAtSWNIWXBac0JaSWxzSHJZTGdqLS1xZm0ybWxxLWg1T3M9
Z0FBQUFBQm0wR3JoOTZhQ3JqaXNkVVNmaTFETWNvTGVKLV9ReVNRa1phRkdZU3NZV2s0Ulp6NHRzcTN0U2pRZGoxRWtiampaaU5PUzlic19QelhMcUhBUlZyc0hheDhwU2I2YWFnWFBGNWVtWTRBaE5EeXd2TG9xUWZOazI0UmxHdEh3V0JfNktickdCb0NISVE0dGhvS2JGaDJmdEcwbXVNNFZ6RDJWZW9remNUSkVRcGdNQ041eEFscjMyZzNWUGY3VjlOZFRvcUNSNGVVZHZ1bGJ4dTdhLTZQNGtEdU9Idz09
ICYMI: You can now get notified when any new code is released for a given paper or topic! Just install the code finder extension (Chrome: [https://chromewebstore.google.com/detail/ai-code-finder-for-papers/aikkeehnlfpamidigaffhfmgbkdeheil](https://chromewebstore.google.com/detail/ai-code-finder-for-papers/aikkeehnlfpamidigaffhfmgbkdeheil) | Firefox: [https://addons.mozilla.org/en-US/firefox/addon/code-finder-catalyzex/](https://addons.mozilla.org/en-US/firefox/addon/code-finder-catalyzex/) | Edge: [https://microsoftedge.microsoft.com/addons/detail/get-papers-with-code-ever/mflbgfojghoglejmalekheopgadjmlkm](https://microsoftedge.microsoft.com/addons/detail/get-papers-with-code-ever/mflbgfojghoglejmalekheopgadjmlkm)), click on any bell/alert icon you come across while browsing the web and follow the next steps on the screen 🙂 Also, with alerts * get the latest developments in your area of interest delivered straight to your inbox. * Author's newest work: be the first to know when an author releases new papers. https://preview.redd.it/i4eypgmxbk0d1.png?width=2660&format=png&auto=webp&s=31e6e6753ddc85006aba8665d7d2add808fc23e6 https://preview.redd.it/ddr1eamxbk0d1.png?width=2810&format=png&auto=webp&s=a2c6f355b702ee24470034c9866800e2c2b2b4c6
r/deeplearning
post
r/deeplearning
2024-05-15
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Z0FBQUFBQm0wR3JoU1lJekViSDZhR3lSVGNTUWVCVWVmUHFXSTlyZHpFQTVLMzE1TXFhcWx5VFRSTWw5Vi1GaURtaW53UF9Kc3BBc181bzc2M3BXSG1va1JCcFRna1BwUjY2c3VPLUZGdDNpV1EwVzBmTFNURFJmT1JOdE1UU2FyQmJ5TFBiV05HWjJ3TjR0ZXpfTEFtVWpKalMxMllPTDloSHNPX1Y3TmMyZWg1MXpCYi1rVTVxSmgtV0dOOUhuMEl1bW9jeDdsZnVfS3ViM2liRTgyODZzRTI5ZnhLMjFtdz09
Have I stopped this if so telle cause I'm under the same
r/nanotech
comment
r/nanotech
2024-05-15
Z0FBQUFBQm0wR3JpVlVXSUlfMnpLSjVyQ0pvX1dXZ3RweUtGaEdBekJLaHdRbl83OVNPT2loczJCUmRDZjBEMnNhTEZ1MnlvZXB2TkJNclZ2bUJoY0F0V2h0cHhRQVB5YXc9PQ==
Z0FBQUFBQm0wR3JoMElUMjd0cld4OGl4aFNHSTVDUHlldmRCbDR1TnNLMVRPRjl2UFJVb3p2d0lPZjlYLUhyZ0doSDRSNWVIeFhTU0I0N2FsQ0RILTkxU0tjYzNfRmwtS2FJUnNmOFpXVjJrVVJRTEo0czJhUkJqdV9wQ2J1QzhwMGpyYlg0bi1WaWE2RG1oeVFaOW9qSVZuTzBrdVNpWThTSWxKemxoT2NFcElsMm5TSFhmUWN0U1ZzREpRUEM2NS1JSWRpbWxvdFNRQ2hqbktETGJ2RnJXc3h5Vk5URW5TZz09
One of the mysteries in neuroscience is how tools that capture relatively few components of brain activity have allowed scientists to predict behavior in mice, while much of the complexity of a mouse brain is “irrelevant background noise,” says Rockefeller University physicist [Alipasha Vaziri](https://www.rockefeller.edu/our-scientists/heads-of-laboratories/1132-alipasha-vaziri/). In 2021, Vaziri’s lab developed [light-beads microscopy](https://www.rockefeller.edu/news/30982-new-microscopy-technique-reveals-activity-of-one-million-neurons-across-the-mouse-brain/) (LBM), which enabled a 100-fold increase in the number of neurons that could be simultaneously recorded. [Read more here. ](https://magazine.mindplex.ai/mp_news/new-microscopy-technique-reveals-activity-of-one-million-neurons-across-the-mouse-brain/)
r/transhuman
post
r/Transhuman
2024-05-15
Z0FBQUFBQm0wR3Jpb3lpMksyenpacDdPd1paN1oyT19RUjFsV19lZjdJMmNIY0xfeWVaekxSSmV4UG5lOXJQSERCcnpvV3djMmFBaXlnZDdrYjdDemNQWDE0Y29nN0VsX3c9PQ==
Z0FBQUFBQm0wR3JoNlRWMVU5ZUc0Ri1PYlNmR3hiNVd6dUtJVXFzZFY5cnYxMkJ4Ymg0N2gtcGJjN1VVdzctR3JzYTJoWERoa2hkd1NqN2pLY0ttTWF6eEg3RktjUWVabGpweHBMWGdRQl9HRWEwdVNhclp5bFdUZE1PZW1UMENidzdZNF8zSW9RdW9JSlVLZVhZR2owYU9mRjd3SGdVM1Q3OTNYOU1ZNmhpM0dEOUhRMWhHMXNVb0VzNlk1RFY4bWwwM2NRZVRIbWNjTnFpdVBnbXJTUTJfT3I0Q3JLV01LUT09
I recently started to look into this topic and I am curious which methods are SOTA and used in production? To be more specific, I am interested in modeling aleatoric and epistemic uncertainty for a neural network. In an ideal setting my model tells me when it encounters inputs that are out-of-distribution and expresses it's uncertainty for a given input in respect to the systems noise. EDIT: I am mainly working with regression problems. Thanks in advance! :)
r/machinelearning
post
r/MachineLearning
2024-05-15
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Z0FBQUFBQm0wR3JoMVBJY25YZmxjemRrdDBSRThIVDctTGhxRFRBbnV1YUNXR1lpRTRPNmZ5NERjbWZwZUlpVDd1U1I0eTltZWhnNEhxYjcwMEd0dVpkVXg1Y25zZ0FXMGoycVVIMTlNa0lyRDhFYXNxazI2MHdVLXlkT1NBZk1OU3I5LVF5emJtaFBYRm5iQ2xQT2h0Wm56Q2hjV3ltcUNDdmpGNFV0a290c3RnT2xvaVJMYjJFaG8tVXRqRzR0emM3cEpWQVNRcDdK
The field of AI has witnessed a rapid expansion in the size and power of LLMs, but this growth has come at a significant computational cost. Post-training quantization techniques have aimed to reduce the precision of weights and activations, but a more optimal solution was needed. Recent work on 1-bit model architectures, such as BitNet, has paved the way for a promising new direction in reducing the cost of LLMs while maintaining their performance. [READ HERE](https://magazine.mindplex.ai/the-era-of-1-58-bit-large-language-models-a-breakthrough-in-efficiency/)
r/transhuman
post
r/Transhuman
2024-05-15
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Z0FBQUFBQm0wR3JoM29HeTlNemE2MUlONDhHcTgyakZtcnZyQ0ZoMkwtM3kweGV0Z0lJSEF1UmlaWEdWdlRvOGt0Ym9McVZLelJHNThKZ2liUlpGbkFEWFJYMm9lSFlwQmFIMDNqOWxqakpYRFhaS0FXd3pQR0hFSzZ2NmxsSVZTQjBLa1FpWUotVmJ5NEM0T3lDZDBuQWp1SHBqRXZPQ3o1UW52eE5hbW93N1JDWGoxR0k1WXdiZFAtdE9Tai16TXdPWlRFV0psdFJfVGRoLXZJR1FqMnRRRmx5RkJMcFRYZz09
I need help with the specific keywords, notable research or surveys on the mentioned topic. I have only tried with keywords such as: "edge device", "edge computing", "diffusion models", on google scholar and the results return are less than satisfactory. Can someone give me some suggestion on where to look at ?
r/machinelearning
post
r/MachineLearning
2024-05-15
Z0FBQUFBQm0wR3JpSThBVnhhNWltd01MaWJtUWJla3hUNXJzVUR0NWFOWlBvZGt2MERGdHZwWEtUUmlWTGFseG1TaEVVNVhtVFVVWU1SOXd4c2ItX0V6UFhsd3hETmZqcWVUZ1RZYWxnRkF0emQ5UnZtQkFiQjg9
Z0FBQUFBQm0wR3JoT1lYVXB6Q1M0Z0ZyQkpYTG50V2RrQkFsU1BuQkpvWFRmTTJjRWJJUnFtTGU4V1UwNzYzYkx2WE9mSExDYkJNMlpXLWlQUnV6VVFhQnRlaDZvazlwRVhxU3EzOU1LUDRJdWdfQ280M3NMZ1M2Z0xNTzRCSFlUVzB1X3RlQ0thVDBrZzFvVjRmbnBESFlMR29iRjlLNmg4VEJCNzVvN3NHVXBsUkktdFk1YTVWNlFyTmtQbWphdER4d1RSSEhkaXl2ZDlqSlVwb0ttN1JZWEtvMFhoZ0luZz09
r/cryptocurrencytrading
post
r/CryptoCurrencyTrading
2024-05-15
Z0FBQUFBQm0wR3JpakZ6SlZNd1NNUndzQV9iQ0JYUDBZVVhUYi1ueFFDczFfcWNhSFp4dWFHQmpMN3pIZDJ0RlFhbDF5eERDZUREZFliOG5jYWdJWWI0dDk0N0I3cjhzWEE9PQ==
Z0FBQUFBQm0wR3JoMWZJMTNrUmJGNDlQNkZidHRtbjVsNDg3S0QtYmEzUUI0Mjh2aDBkZ1VPdndpWXZEbnNTY3F4ZHBJME9VU1J6Z2ZhcHg3QVlhTXlMWkVxQnhXYjc4TVhFM3lnOC14dmpRbldMT2ZoeWo1SDZ6andYQTlZNV9abnAxYkQ2a29KcUJDUXNFNUQ0YlVlN3BrZjlRUGE2M3FKQUQ2VWZHOUhYcURXVHBvdHJYSVAxdHJockZzSUgxbmp4WXprX3JaSXhRc2NOX3dfSEFGVmZMcG1DRlYxaS1pUT09
r/btc
post
r/btc
2024-05-15
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Z0FBQUFBQm0wR3JoSzRxTEpxbnFQYzJwaktSeUdvSW55UmR5RTh2SXVELVdQaERmbHRybEZTLXFxUlBVelRwRHNKUVh0ZllsdG9WcTVVMHlxMUtCRXV5RjRpYklDMWFvdFhjWWhnaGRRYnFxTUJFU2pia0t5Q3FodUNKUHlZVjVIY1NVQ0dodGN0eWlBcUM0WFhWaEhMZGxuVVpJbHhwODdvSUpzZDI2T3J6UEczWlNnZGY4ckp4bWM1d0NScGJWVHJDOUcyR3NpenFW
r/cryptocurrency
post
r/CryptoCurrency
2024-05-15
Z0FBQUFBQm0wR3JpdzdBdktOeW42N2djTGpXbGZjck85SGlELXJGMFlTeDlIb0VKTUJ6T2p1Z2RFR0xOZmQtTGVuR3FFa3VJWWxscnNMZ0JJV2VEUmx5dHpOMVFCQVJmb3c9PQ==
Z0FBQUFBQm0wR3JoYTBFRFlULVg2WGhDZVVpYS0yNlcwdVFVa3F4N1RYZEZCZnVHcExtaC1yQnFPOTU1REE0c1NjckdKcndTcFRUTmV5cE5paFd0NEJySGlEczJYRW1PR1h1aHZDMlF2cElkcVMzMktvN3A0bUJTS0lYQjdHbHQxT1FldXNOWXVheXdiNUpQVC1QOTF6MkpyemVnMUw1bnhxM2d5eE0tRGVwNW5Db25jYXQyM2l4dDJNTXNLS3RZVkFyVmdWNnlsVjV3aW5Fdi1zdGRCRGozMXFTTHNFMFk2QT09
In Australian, I would recommend honours over a masters. I would also recommend applying to programs outside of Australia: UK, Europe, and USA are ahead of Australia in my view. I did my undergrad and honours at UQ. For quantum computing, their program is good by Australian standards, but not world-class. (With the recent PsiQuantum news it may be world-class in a couple years though.) Also, I disagree with the other commenter’s view on UNSW. It may be the best for certain areas of quantum technologies, but certainly not for all. Wherever you go, see what you like about quantum technologies and go to whatever university has people working in that area.
r/quantumcomputing
comment
r/QuantumComputing
2024-05-15
Z0FBQUFBQm0wR3JpTGlwd2IwN0FnOU5FSmx5QVFiQ1RGeFRVX1RBTVpkTm5aUEtDRkJSMWVyUXVkRU5KVTF0VFFFWEpVb0Y5eExGSEFDczJqVUJPNGQtaGJBRUFELW5zLU5WOWltcV8xek1ITE9IQUIyR0RuTlE9
Z0FBQUFBQm0wR3JoTk9wVnM2bVR5UDFQUW5LV0YxVDR6VzFJbzlZcU9manB4OUZJUEFma1JPdGc4M3MtcVpaLWpVOW5GamltWWZ2bGw2SVctMUVMUDRfYXRlX012cTVPaHVBZ3FwSXhYVXVycmtYWm05Y2RKZW1qRjZFaHpfbTVJdHppUG9EN25QZV8wbFk0eEh1ZHdRV2ZneDZ0SUhMYlJDVXRJbDVFTno4ZHBGVnRGRllyVXFUZDZ4dkQwYTdBOFJaZDBBcVhnTF9ZdkpWZEVvQXYtRW5vbzllYVVjUDZWQT09
r/chatgpt
post
r/ChatGPT
2024-05-15
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Z0FBQUFBQm0wR3JoOTNCeFVid09Hbk1ZVmkwbi1PRkZzOTdOdkhveVo1aGVaVG1xdHdxOFJONlZfN19fVWxCMG1panpFUjVhNjlubkFhUDdRdG93LTJnZ3hnZ0NsMF9PT3JkY1JOWWxweENhZ1hNZ1NuYW4xNWN2cF82aXRfLUVWOTZYcEhqOTNVbGRxX2FtT1l4VjN6Z2FORV92VkN6bjRQUV9SMXJiSTJyZ2V3bk1kSGRweERDbGZBWkViVmxpU290RmQ4WVVGcEY4Njd4TV9kTTJ0VzhVZkJJY3M0c1Y2UT09
r/worldnews
post
r/worldnews
2024-05-15
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Z0FBQUFBQm0wR3JoQi1DTzF0QTNfTkZOYURwRVMwYnJhQ0dnbTQ2bldoY2pVTzRNR0RBVzF4WWdzVXJMb0JHbUVsRVpVNnBiRVNvQVhqZV81VEdIWkVHUUVWUGJRTU5aZFNhNEZ4VlpQVC1VU0Zrb20zSUdEb1BfMHZFZ0hTZkJ3VEZMbWFPb01HU19GRExQSGRqYXVNcDkwNDh1QWZCS0w0WGRxVndwcVBoSlpzSDR4bjFmUzliSUNTODFGX2c1UzhlN0cxZzNqSjEza29PNEtUR0RIWUtHRGNHa0RQV3RTUT09