Sabitlenmiş Tweet
ThoughtAI
998 posts
ThoughtAI
@Thought_THT
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 Katılım Ocak 2018
14 Takip Edilen4.3K Takipçiler
ThoughtAI retweetledi
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…
ARC Prize@arcprize
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
English
The answer is right there in front of you.
@Thought_THT
kristen shaughnessy@kshaughnessy2
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-big-te…
English
ThoughtAI retweetledi
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-big-te…
English
Thankfully our team is locked in the basement and Zuck is having a tough time delivering the soup. 😂
Yuchen Jin@Yuchenj_UW
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.
English
ThoughtAI retweetledi
Precisely.
Noam Brown@polynoamial
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.
English
ThoughtAI retweetledi
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.
Rihard Jarc@RihardJarc
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.
English
Exactly what @Thought_THT has been saying for a LONG time now...and EVERYONE is starting to shift.
6 months ago they announced participation in ARC-AGI2. Barely anyone knew about it and now it's all the buzz.
Right place at the right time.
Lightning in a bottle.⚡️
$THT
NIK@ns123abc
>be AI companies in 2025 >spending billions on compute >racing to scale bigger >"bro just one more datacenter" ilya: this approach will stall out in 2-3 years lmao >dwarkesh: "wen superintelligence?" >ilya: "5-20 years" >wait what >companies will make "stupendous revenue" >but "maybe not profits" >lmaooo >why no profits? >bc everyone doing literally the same thing >models "look very similar" >hard to differentiate >competition "pushes prices down" >racing each other to bottom whoever solves generalization wins next era
English
ThoughtAI retweetledi
🚨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:
English
ThoughtAI retweetledi
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”.
English
ThoughtAI retweetledi
The only path to defeating big tech is to take the Road Less Travelled
simp 4 satoshi@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
English
New epoch, same outcome: Pharaoh leads @avax in real yield once more.
Here are the Top 5 Blue-Chip Pools shaping this epoch’s rewards. 👇
English
The Decade-Old Architecture Bet Set to Break LLMs reasoning capabilities on Dec. 5th
@Thought_THT $THT
The clock is running out on the Age of Brute Force AI.
The entire industry—OpenAI, Google, Anthropic—have bet the farm on one flawed idea: that if you just scale a Neural Network (an LLM) to a trillion parameters, intelligence will emerge.
It failed. We see it hit limits every day. Sam keeps promising AGI on ever-extending dates in the hopes of raising more money at increasingly elevated valuations.
The proof is the ARC-AGI-2 benchmark. The one test designed to measure human-like reasoning, composition, and novel problem-solving.
Humans score 100%. The best, multi-billion-dollar LLMs? They don't score as well. They are stuck.
The failure on ARC-AGI-2 is not a bug; it is a structural flaw. LLMs are "Stochastic Parrots" that memorize and interpolate data. They cannot reason about novel, abstract concepts like a human.
Now, the silent alternative is stepping forward.
The team led by Andrew Hacker and Phil Grim never bought the scale narrative.
They were already years ahead, building a different kind of intelligence based on Logic, Composability, and Traceability.
The proof of their commitment is not in a press release; it's in a patent filing:2013: They filed the patent for the foundational "Hierarchical Data Swarm Management" (US 20140337388 A1).
This is the ancestor of the Nuance system—a network of specialized, independently reasoning agents.
2018: The Thought White Paper formalized this architecture, detailing the "Nuance Hierarchy" and the "Proof of Evolution" (PoE) DLT consensus. The vision was cemented before the Transformer model had even truly defined the LLM era.
They saw this years before even LLMs got attention.
Project X is the ultimate manifestation of that original patent.
It is an AGI built not from an amorphous cloud of data, but from thousands of auditable, logical agents (Nuances) running on a decentralized Fabric with every decision logged and auditable on the Thought Blockchain.
It DOES NOT need one trillion watts of energy.
It can run powered by a laptop.
On Dec 5th we expect to validate a decade-old, principled crusade, showcasing the best path towards AGI.
If Project X achieves a decisive breakthrough on ARC-AGI-2, it will prove that Symbolic, Agent-Based AI is the superior path to genuine, fluid AGI reasoning.
It will prove that you don't need billions in proprietary hardware and secretive models to achieve intelligence.
It will prove that the entire centralized AGI market is fundamentally flawed and structurally obsolete.
The clock is ticking down to the moment the quiet architects expose the fragile foundation of the giants.
The time for research is now. Dec 5th is the day the architecture matters more than the scale.#ProjectX #AGI #SymbolicAI
English
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/q…
English
@davidgokhshtein Without a doubt- $THT @Thought_THT. They've figured out how to SOLVE AGI-ARC2 puzzles with laptop scale power as opposed to mega data-center power. That is jaw-dropping amazing.
More amazing?; they're around MC ~$30M, Vol ~$21K.
It'd be wise to get some now @CoinMetro!
GIF
English
What’s the most underrated project in crypto that nobody’s talking about?
English
ThoughtAI retweetledi
🕵️♂️ 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
YouTube
English
🎉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 !
1. @palms7777
x.com/palms7777/stat…
2. @0xExodus
x.com/0xExodus/statu…
3. @Prosper_Defi
x.com/Prosper_Defi/s…
4. @BagelHodler
x.com/BagelHodler/st…
5. @sats_wallet
x.com/sats_wallet/st…
6. @Dave_onchain
x.com/Dave_onchain/s…
7. @OnchainRicky
x.com/OnchainRicky/s…
8. @cryptosplashbro
x.com/cryptosplashbr…
9. @ThisisJosh24
x.com/ThisisJosh24/s…
10. @Mido_riya1
x.com/Mido_riya1/sta…
11. @Cointrarians
x.com/Cointrarians/s…
12. @Cryptowavers
x.com/Cryptowavers/s…
ThoughtAI@Thought_THT
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!
English