ThoughtAI
@Thought_THT
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ThoughtAI Adaptive AI Using Self-Aware Intelligent Software Agents. Telegram: https://t.co/jEETGqKlwu Discord: https://t.co/xl6qUlKYKy https://t.co/EYWW2ImihR
United States
Joined January 2018
I've been reflecting on the progress of ARC in 2025. What it means for AGI progress and the future of ARC Prize. My full analysis here:
arcprize.org
Winners, analysis, and interviews.
Announcing the ARC Prize 2025 Top Score & Paper Award winners The Grand Prize remains unclaimed Our analysis on AGI progress marking 2025 the year of the refinement loop
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New update dropped in our TG and Discord. 🤝
We promised our community a front row seat to what we are doing, to keep up-to-date with all the latest news happenings and conversation please join our TG and discord! 👉Telegram: https://t.co/xHl0vJOlbv 👉Discord: https://t.co/obK4E6J5ay
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Finally more people are doing the math “IBM CEO says there is 'no way' spending trillions on AI data centers will pay off at today's infrastructure costs” “IBM's CEO walked through some napkin math on data centers— and said that there's "no way" to turn a profit at current
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Thankfully our team is locked in the basement and Zuck is having a tough time delivering the soup. 😂
OpenAI’s Mark Chen: - “Meta went after half of my direct reports and they all declined.” - “Meta has $10 billion of capital per year to deploy towards talent.” - “Zuck hand-cooked and hand-delivered soup to people he was trying to hire from OpenAI.” Insane AI talent war.
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Precisely.
Social media tends to frame AI debate into two caricatures: (A) Skeptics who think LLMs are doomed and AI is a bunch of hype. (B) Fanatics who think we have all the ingredients and superintelligence is imminent. But if you read what leading researchers actually say (beyond the
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From our team to everyone who celebrates it, Happy Thanksgiving! To everyone who doesn't celebrate Thanksgiving, Happy Thursday! 🇺🇸🇺🇸🇺🇸
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Ilya is one of the guys who successfully trained a neural network on a large dataset using GPUs for the first time. He is now telling us LLMs won’t get much better by just throwing more compute. Yann Lecun has also been saying this for a long time. Something to think about.
Ilya Sutskever just said that when it comes to AI models, we are back at the age of research & ending the age of scaling. What he is telling us is that more compute at this point won't help us get much better models; we need new breakthroughs. Not something that the semi
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🚨The White House just launched the Genesis Mission — a Manhattan Project for AI The Department of Energy will build a national AI platform on top of U.S. supercomputers and federal science data, train scientific foundation models, and run AI agents + robotic labs to automate
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US President Donald Trump has signed an AI executive order called “Genesis Mission”, which is a nation-wide AI industry effort, similar to the “Manhattan project”.
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Larry Ellison: You win by finding errors in conventional wisdom.
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The only path to defeating big tech is to take the Road Less Travelled
“Why can’t Google do this” “Well they’re slow” Except you’re wrong The only path to defeating big tech is to take the Road Less Travelled
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💯
this is the highest leverage moment for potentially a single individual in the history of the world. AGI is less than 6 key insights away, 10K lines of code, 1 person can conceivably write it all
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AI adoption at the enterprise level has accelerated. Most organizations are now using AI and even experimenting with AI agents. However, most are also still in the “building phase” and in the early stages of scaling and capturing enterprise-level value. Check out this recent
mckinsey.com
In this 2025 edition of the annual McKinsey Global Survey on AI, we look at the current trends that are driving real value from artificial intelligence.
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🕵️♂️ Unearthed this gem from our archives! Watch our CEO Prof. Andrew Hacker dive into Agent-based Models (ABM) – history, trends, nature-inspired insights, emergent properties, & why ABM is the path to super-intelligent AI & digital life. 🤖🌍 👉
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🎉Thread Contest Finalists🎉 These 12 incredible entries were our finalists from the recent thread contest! 🔥 We received so many amazing submissions that picking the winner was impossible… so we gave EVERY finalist a prize! 🏆 Congrats, champs! Prizes have been sent out !
That's a wrap! 🎉 Our thread contest has officially ended. A huge thank you to everyone who poured time and effort into creating such incredible threads! 🙌 Voting for the best threads will take place in our Telegram group. 🗳️ Winners will be announced by the end of the week!
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👏 👏 👏
The U.S. government Should not be building data centers > What if GPUs are not the right computing form factor? > What if LLMs are not on the path to AGI? > Why are we marching towards 2008 for tech bros?
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We promised our community a front row seat to what we are doing, to keep up-to-date with all the latest news happenings and conversation please join our TG and discord! 👉Telegram: https://t.co/xHl0vJOlbv 👉Discord: https://t.co/obK4E6J5ay
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When you see the solution to AGI you will find that it was in fact so straightforward as to be obvious, and that it could have been developed decades ago
The most elegant solutions look inevitable in retrospect. They aren't some complex chain of tricks you've engineered out of nothing, but rather a simple abstraction that faithfully mirrors the shape of the problem.
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💡Did you know? Thought AI holds a powerful portfolio of patents that make its core technology nearly impossible to replicate. 🔒 We’re embedding intelligence right into data, powering real-time decisions across distributed systems. These innovations put us in a league of our
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🚀Why Thought AI and Nuances Will Win the Agent AI Race. 🏆 Embedded intelligence 💡 Nuances embed intelligence directly into the data layer, eliminating the need for external applications, APIs, or plugins. This enables real-time, decentralized data processing, making them
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