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Deepmind's AlphaCode Defeats 50% of participants in Competitive Programming financial deepmind

by onliNEmmOAZ



Creating solutions to unforeseen problems is second nature in human intelligence – a result of critical thinking informed by experience. The machine learning community has made tremendous progress in generating and understanding textual data, but advances in problem solving remain limited to relatively simple maths and programming problems, or else retrieving and copying existing solutions. As part of DeepMind’s mission to solve intelligence, we created a system called AlphaCode that writes computer programs at a competitive level. AlphaCode achieved an estimated rank within the top 54% of participants in programming competitions by solving new problems that require a combination of critical thinking, logic, algorithms, coding, and natural language understanding. Paper.

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Deepmind's AlphaCode Defeats 50% of participants in Competitive Programming

Deepmind's AlphaCode Defeats 50% of participants in Competitive Programming

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Deepmind's AlphaCode Defeats 50% of participants in Competitive Programming
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आप हमारी वेबसाइट पर केवल ऑनलाइन पैसे कमाने के तरीकों के बारे में सबसे पूर्ण और विस्तृत जानकारी देख सकते हैं: यहाँ और देखें
आप हमारी वेबसाइट पर केवल ऑनलाइन पैसे कमाने के तरीकों के बारे में सबसे पूर्ण और विस्तृत जानकारी देख सकते हैं: यहाँ और देखें

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10 comments

Red Nation Sox 10/02/2022 - 5:42 Chiều

Thanks for sharing. Do you know how to handle such long sequence (problem statement + code) as the input for transformer in training? If my memory serves me right, transformer has a limit for input tokens to be no more than around 512.

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Tony Legge 10/02/2022 - 5:42 Chiều

From the Christmas Reith Lectures in the UK 2021….Dr Stuart Russell

Rules for AI Machines to keep us safe…. An AI does not know the true objective.
1. The machines only objective is to maximise the realisation of human preferences.
2. The AI is initially unsure of what these preferences are.
3. Ultimate source of information about human preferences is human behaviour.

Therefore the AI will not come up with ideas that wipe us out as its first priority is to ask us if we want the outcome.

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Rylac Zero 10/02/2022 - 5:42 Chiều

I would advice people to shift their role to architect level which spans multiple technologies and require subjective decisions, objective decisions would be sooner or later be taken over by machines

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Stephen Jackson 10/02/2022 - 5:42 Chiều

Everyone not worried about the implications of what Alphacode has done or could lead to needs to see this video on AI safety, https://www.youtube.com/watch?v=9i1WlcCudpU

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sai shashi 10/02/2022 - 5:42 Chiều

The pace with which AI is evolving it won't take much long like decade. It can achieve things within 5 yrs in problem solving equal to human.

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Hanyang Lee 10/02/2022 - 5:42 Chiều

What makes this new alphacode so different is that, for all the former ai, if they mess any step, they can have a chance to correct it in later steps, even in go, the chance exist at times. But code is very strict, the compiler disagrees even with tiny error. Also, if the algorithm is not done properly and accurately, the whole thing simply refuses to work.
What if alphacode can call itself? What can it create with itself?🤔

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Apzi 10/02/2022 - 5:42 Chiều

Awesome. Do u guy think that Human Level AI (AGI) can appear within 2050? Ray kurzweil predicted AGI would appear at 2029 but I Think he is very radical.

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Mark Ryan 10/02/2022 - 5:42 Chiều

Thanks for the super fast analysis – great stuff.

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Stephen Jackson 10/02/2022 - 5:42 Chiều

the implications of what alphacode has done are concerning in so many ways.

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Vishal Singh 10/02/2022 - 5:42 Chiều

Lots of software guys are going to lose their jobs in the next 1-2 years…if this improves at same pace…this is both cool and scary🙌

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