Richard Sutton just won the Turing Award for inventing reinforcement learning -- the training method that sits inside every system that learns by doing.So when he says today's large language models are a dead end, it is worth hearing exactly why:"I consider reinforcement learning to be basic AI. What is intelligence? The problem is to understand your world. Reinforcement learning is about understanding your world, whereas large language models are about mimicking people, doing what people say yo
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x.comKarl Mehta
Richard Sutton just won the Turing Award for inventing reinforcement learning -- the training method that sits inside every system that learns by doing.So when he says today's
Karl Mehta (@karlmehta). 69 likes 8 replies. Richard Sutton just won the Turing Award for inventing reinforcement learning -- the training method that sits inside every system that learns by doing.So when he says today's large language models are a dead end, it is worth hearing exactly why:"I consider reinforcement learning to be basic AI. What ...
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The real Turing test for voice AI is not a polished two-minute support call 😅It is whether it can handle a 45-minute, high-stakes enterprise conversation.From the demos the Bland team has shown me, they are clearly leading the charge.A well-deserved $100M Series C 👏👏👏
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The real Turing test for voice AI is not a polished two-minute support call 😅It is whether it can handle a 45-minute, high-stakes enterprise conversation.From the demos the Bland team has shown me, they are clearly leading the charge.A well-deserved $100M Series C 👏👏👏
x.comCharly Wargnier
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The real Turing test for voice AI is not a polished two-minute support callIt is whether it can hold its own in a 45-minute, high-stakes enterprise conversation.Looks like @usebland is leading the charge
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The real Turing test for voice AI is not a polished two-minute support callIt is whether it can hold its own in a 45-minute, high-stakes enterprise conversation.Looks like @usebland is leading the charge
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I submitted a write-up about intelligence and sample efficiency to Dwarkesh's blog post contest a while ago. Posting it here since the ideas are topical again:Sample efficiency, credit assignment, and self-improvement. That is what a machine system needs to be good at to replace humans. State-of-the-art machine learning is somewhere between bad and terrible at all 3. I will try to convince you that progress will be difficult in the RL regime, and progress so far isn't as great as advertised.Meas
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I submitted a write-up about intelligence and sample efficiency to Dwarkesh's blog post contest a while ago. Posting it here since the ideas are topical again:Sample efficiency, credit assignment, and self-improvement. That is what a machine system needs to be good at to replace humans. State-of-the-art machine learning is somewhere between bad and terrible at all 3. I will try to convince you that progress will be difficult in the RL regime, and progress so far isn't as great as advertised.Meas
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The real Turing test for voice AI is not a polished two-minute support call 😅It is whether it can handle a 45-minute, high-stakes enterprise conversation.From the demos the Bland team has shown me, they are clearly leading the charge.A well-deserved $100M Series C 👏👏👏
1:00
The real Turing test for voice AI is not a polished two-minute support call 😅It is whether it can handle a 45-minute, high-stakes enterprise conversation.From the demos the Bland team has shown me, they are clearly leading the charge.A well-deserved $100M Series C 👏👏👏
x.comCharly Wargnier2.8M views4 weeks ago
The real Turing test for voice AI is not a polished two-minute support callIt is whether it can hold its own in a 45-minute, high-stakes enterprise conversation.Looks like @usebland is leading the charge
1:00
The real Turing test for voice AI is not a polished two-minute support callIt is whether it can hold its own in a 45-minute, high-stakes enterprise conversation.Looks like @usebland is leading the charge
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I submitted a write-up about intelligence and sample efficiency to Dwarkesh's blog post contest a while ago. Posting it here since the ideas are topical again:Sample efficiency, credit assignment, and self-improvement. That is what a machine system needs to be good at to replace humans. State-of-the-art machine learning is somewhere between bad and terrible at all 3. I will try to convince you that progress will be difficult in the RL regime, and progress so far isn't as great as advertised.Meas
11:56
I submitted a write-up about intelligence and sample efficiency to Dwarkesh's blog post contest a while ago. Posting it here since the ideas are topical again:Sample efficiency, credit assignment, and self-improvement. That is what a machine system needs to be good at to replace humans. State-of-the-art machine learning is somewhere between bad and terrible at all 3. I will try to convince you that progress will be difficult in the RL regime, and progress so far isn't as great as advertised.Meas
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Yann LeCun -- Meta's chief AI scientist and a Turing Award winner -- explains why scaling up LLMs will never reach human-level AI, and names the four things today's systems still can't do:"If you think that we're going to get to human-level AI by just training on more data and scaling up LLMs, you're making a mistake.""If you're an investor and you invest in a company that told you we're going to get to human-level AI and PhD level by just training on more data and with a few tricks... that was
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Yann LeCun -- Meta's chief AI scientist and a Turing Award winner -- explains why scaling up LLMs will never reach human-level AI, and names the four things today's systems still can't do:"If you think that we're going to get to human-level AI by just training on more data and scaling up LLMs, you're making a mistake.""If you're an investor and you invest in a company that told you we're going to get to human-level AI and PhD level by just training on more data and with a few tricks... that was
x.comKarl Mehta34.5K views2 weeks ago
I’m boosting Cookieverse by @MSSystemWEB3 on the @Mantle_Official Turing Test Hackathon on @DoraHacks 🍪🔥AI is boring.Cookieverse makes it useful.AI Wallet Roast turns your onchain history into a sharp and smart identity card.AI World Cup Match Prophecy is more than a random pick:payment -> match research -> candidate scenarios -> final judge -> card renderThat means AI builds match-flow scenarios, weighs risks, picks scorelines, and turns them into prophecy cards you can use as an extra signal
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I’m boosting Cookieverse by @MSSystemWEB3 on the @Mantle_Official Turing Test Hackathon on @DoraHacks 🍪🔥AI is boring.Cookieverse makes it useful.AI Wallet Roast turns your onchain history into a sharp and smart identity card.AI World Cup Match Prophecy is more than a random pick:payment -> match research -> candidate scenarios -> final judge -> card renderThat means AI builds match-flow scenarios, weighs risks, picks scorelines, and turns them into prophecy cards you can use as an extra signal
x.comNatalia 🟦546.2K views3 weeks ago
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When smart contracts learn to think: Ritual will bring all LLM reasoning and machine learning to the chainSmart contracts (third phase)Let’s review the evolution of smart contracts:1.0 era (Bitcoin script): It can judge basic transfer conditions, and its functions are extremely limited.Era 2.0 (Ethereum EVM): Turing complete, capable of running complex logic, issuing assets, and building DeFi. But it is still "closed" - the contract cannot actively obtain external information and can only feed d
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When smart contracts learn to think: Ritual will bring all LLM reasoning and machine learning to the chainSmart contracts (third phase)Let’s review the evolution of smart contracts:1.0 era (Bitcoin script): It can judge basic transfer conditions, and its functions are extremely limited.Era 2.0 (Ethereum EVM): Turing complete, capable of running complex logic, issuing assets, and building DeFi. But it is still "closed" - the contract cannot actively obtain external information and can only feed d
x.comseven7橘子🍊(❖,❖)38 views1 week ago
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Local AI optimization is officially outpacing hardware decay. I spent the last 3 hours building llama.cpp from scratch and benchmarking Google DeepMind’s new Gemma 4 26B A4B MoE on a prehistoric 8 year old, $500 NVIDIA Tesla T4 GPU.The results absolutely break the conventional rules of inference.Here is the raw data running unsloth/gemma-4-26B-A4B-it-qat-GGUF via llama.cpp on a completely free Google Colab Linux (Ubuntu) instance:- 35k context: [ Prompt: 788.8 t/s | Gen: 47.4 t/s ] (-ngl 99) - 8
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"And then along came blockchains."Turing Award winner Barbara Liskov on how PBFT — practical Byzantine fault tolerance, now foundational to modern consensus — started as a PhD student answering a DARPA RFP:"I had a student, Miguel Castro, who was looking for a PhD thesis, and I suggested to Miguel that he look at the RFPs that DARPA had put out … He found an RFP that was looking for ways to handle the malicious attacks that were going on on the internet.""When Miguel and I finished the work on p
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日本の地方都市で動いてるのは中国産のバスWERIDEなのでチューリングTURINGみたいな国産メーカーに頑張ってもらいたい
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本田圭佑さんに、チューリングの自動運転を体験いただいた際の走行動画を公開します。ワールドカップから帰国した本田さんを、空港から都内までお送りしました。空港周辺の一般道から高速道路、都心部の複雑な道路環境まで安全運転で無事目的地に到着。周囲の車両や道路状況に応じて走行する、チューリングのE2E自動運転をご覧いただけます。--▼YouTubehttps://t.co/W4SQRlPQfD--本田さん、ご試乗いただきありがとうございました。チューリングは引き続き、完全自動運転の実現に向けた開発を加速していきます。
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睡眠是地球上最强大的治疗方法。它能提高记忆力、加快恢复、帮助减脂，甚至缓解焦虑。这里有7个简单步骤改善你的睡眠：1) 不要睡8小时。
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