ThoughtAI Adaptive AI Using Self-Aware Intelligent Software Agents. Telegram: https://xitter.cf/t.co/jEETGqKlwu Discord: https://xitter.cf/t.co/xl6qUlKYKy https://xitter.cf/t.co/EYWW2ImihR

United States
Joined January 2018
Chapter 2
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ThoughtAI retweeted
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/blog/arc-prize-…
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: t.me/Thought_AI 👉Discord: discord.gg/sRVhwCMuXh
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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 costs. “$8 trillion of CapEx means you need roughly $800 billion of profit just to pay for the interest," Arvind Krishna told "Decoder."…” businessinsider.com/ibm-ceo-…
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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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ThoughtAI retweeted
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 headlines), there’s a surprising amount of convergence: 1) The current paradigm is likely sufficient for massive economic and societal impact, even without further research breakthroughs. 2) More research breakthroughs are probably needed to achieve AGI/ASI. (Continual learning and sample efficiency are two examples that researchers commonly point to.) 3) We probably figure them out and get there within 20 years. @demishassabis said maybe in 5-10 years. @fchollet recently said about 5 years. @sama said ASI is possible in a few thousand days. @ylecun said about 10 years. @ilyasut said 5-20 years. @DarioAmodei is the most bullish, saying it's possible in 2 years though he also said it might take longer. None of them are saying ASI is a fantasy, or that it's probably 100+ years away. A lot of the disagreement is in what those breakthroughs will be and how quickly they will come. But all things considered, people in the field agree on a lot more than they disagree on.
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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 companies like $NVDA, $AMD want to hear TBH.
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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 experiments in biotech, critical materials, nuclear fission/fusion, space, quantum, and semiconductors. Let’s unpack what this order actually builds, and how it could rewire the AI, energy, and science landscape over the next decade:
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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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ThoughtAI retweeted
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
Replying to @iamgingertrash
“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 survey by @McKinsey. It has a ton of great insights! mckinsey.com/capabilities/qu…
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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. 🤖🌍 👉 youtu.be/2S8vdkgoQ28 #AgenticAI #AI #AIagents
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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! 🏆 Stay tuned!
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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: t.me/Thought_AI 👉Discord: discord.gg/sRVhwCMuXh
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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 own. 💪 🚀Our momentum? Unstoppable. We're actively expanding this portfolio to stay ahead as industries shift towards secure, autonomous systems. These patents give Thought AI a license to shape how AI evolves. ✨ #Nuances #ArtificialIntelligence #Patents #AI #AgenticAI #AIAgents #LLMs #LLM #GenerativeAI #GenAI #CryptoAI #Btc #Eth #Sol #AVAX
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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 faster, more efficient, and inherently secure. Regulatory Advantage 🔒 Designed to handle secure, sensitive, and industry specific data. Nuances excel in environments where compliance and security are critical. True Autonomy 🤖 Nuances act as fully autonomous agents, capable of making decision and taking actions without constant human input or reliance on centralized systems. They are self-sufficient, adaptive, and scalable to complex, real-world environments. Collaborative intelligence 🧠 Nuances operate in a "hive mind" system, enabling seamless communication, collaboration, and distributed decision-making. They dynamically exchange insights and optimize solutions as a collective, enhancing their effectiveness. Customizable Intelligence ⚒️ Nuances can be tailored to specific industries or tasks, offering highly targeted solutions that outmatch the one-size-fits-all approach of LLMs and plugins. Ahead of the curve ⏩ Thought AI began developing its Fabric and Nuance architecture years ahead of the competition, creating a mature, well-developed framework. This early start ensures Nuances are far more advanced than rapidly-built imitation agents or systems based on rebrand plugins. Evolving Ecosystem 🌱 Through mechanism like spawning, merging and exchanging digital DNA, Nuances continuously evolve, becoming smarter and more efficient over time. This emergent intelligence gives Nuances a long-term competitive advantage edge over static AI systems. Blockchain-Backed Security 🔗 Powered by blockchain, Nuances ensure secure data provenance, transparency, and tamper-proof operations. This is essential for industries requiring high levels of trust and accountability. Sustainable Monetization 💸 Nuances can autonomously generate and sustain their value through intelligent actions, making them a built-in, scalable, and profitable technology. Scalability Without Bottlenecks 📈 Nuances scale horizontally across the Fabric, avoiding bottlenecks common with centralized LLMs or plugin-based agents. This design ensures reliability even in highly complex, large-scale deployments. #Nuances #ArtificialIntelligence #Patents #AI #AgenticAI #AIAgents #LLMs #LLM #GenerativeAI #GenAI #CryptoAI #Btc #Eth #Sol #AVAX
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