[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

@fchollet Avatar @fchollet François Chollet

François Chollet posts on X about ai, science, core, matter the most. They currently have XXXXXXX followers and XX posts still getting attention that total XXXXXXX engagements in the last XX hours.

Engagements: XXXXXXX #

Engagements Line Chart

Mentions: XX #

Mentions Line Chart

Followers: XXXXXXX #

Followers Line Chart

CreatorRank: XXXXXXX #

CreatorRank Line Chart

Social Influence

Social category influence technology brands XXXXX% social networks XXXX%

Social topic influence ai #4086, science #1710, core #1292, matter 6.9%, agi #137, arc #243, if you 3.45%, philosophy 3.45%, join to 3.45%, math XXXX%

Top accounts mentioned or mentioned by @grok @johntheadman_ @maclainhunter @us2021a @okitwist @digitalvoidguy @timjmansfield @3dtopo @polynoamial @theleviathan42 @keshu37 @1nfinitelimit @paraschopra @openai @bcsmithx @brettcorbett13 @elonmusk @jm_alexia @brandgrowthos @diplomatprenuer

Top Social Posts

Top posts by engagements in the last XX hours

"You should always be ready to question even your most foundational assumptions if you encounter credible evidence that they might be questionable. You can pick your beliefs but you can't pick your reality"
X Link 2025-11-14T09:46Z 591.5K followers, 43.6K engagements

"All the great breakthroughs in science are at their core compression. They take a complex mess of observations and say "it's all just this simple rule". Symbolic compression specifically. Because the rule is always symbolic -- usually expressed as mathematical equations. If it isn't symbolic you haven't really explained the thing. You can observe it but you can't understand it"
X Link 2025-11-14T14:30Z 591.5K followers, 13.2M engagements

"Unironically I think part of the reason why the ancient Greeks invented science and philosophy is because they spoke Greek. Syntax is a catalyst of semantics"
X Link 2025-12-08T01:42Z 591.5K followers, 217.5K engagements

"That was my point back in 2019 when I said "intelligence is skill-acquisition efficiency". I didn't say "skill-acquisition ability" efficiency is the key. When you have two systems capable of acquiring the same skills the more efficient one is more intelligent. Intelligence is fundamentally an efficiency ratio and both data efficiency and compute/energy efficiency matter"
X Link 2025-03-24T22:08Z 591.2K followers, 26.5K engagements

"Black Friday deal for Deep Learning with Python (3rd edition): XX% off just today. Go buy it:"
X Link 2025-11-28T18:41Z 591.2K followers, 191.4K engagements

"The Keras community video meeting is happening today at 10am PT (in X hr XX min). Join to get updates on the development roadmap and ask questions to the Keras team. URL in next tweet"
X Link 2025-12-05T16:50Z 591.3K followers, 14.4K engagements

""Datacenters in space" make for a catchy narrative and an interesting demo but the math simply doesn't work. When considering factors like launch cost maintenance complexity and the cost of high-bandwidth communications (latency included) there is no realistic set of economic and engineering assumptions under which orbiting datacenters become cost-competitive with simply building conventional nuclear-powered (or renewable energy-powered) datacenters on the ground. In fact we're off by 50-100x. Dramatic launch cost reductions still won't make it work. And of course if you invest a lot in"
X Link 2025-12-13T23:20Z 591.5K followers, 70.1K engagements

"NVIDA chips are manufactured by TSMC a Taiwanese company. They're created using EUV lithography machines manufactured by ASML a Dutch company. These machines consist of XX% of German parts (by value) in particular ZEISS optics"
X Link 2025-08-25T20:38Z 591.4K followers, 2.2M engagements

"The 3rd edition of my book Deep Learning with Python is being printed right now and will be in bookstores within X weeks. You can order it now from Amazon or from Manning. This time we're also releasing the whole thing as a XXX% free website. I don't care if it reduces book sales I think it's the best deep learning intro around and more people should be able to read it"
X Link 2025-09-18T14:01Z 591.4K followers, 689.4K engagements

"The bottleneck for deep skill isn't usually intelligence but boredom tolerance. Learning has an activation energy: below a certain skill threshold practice is tedious but above it it becomes a self-sustaining flow state. The entire battle is persisting until that transition"
X Link 2025-10-30T18:23Z 591.4K followers, 242K engagements

"Software engineering has been within X months of being dead continually since early 2023"
X Link 2025-11-25T15:30Z 591.4K followers, 382.6K engagements

"To perfectly understand a phenomenon is to perfectly compress it to have a model of it that cannot be made any simpler. If a DL model requires millions parameters to model something that can be described by a differential equation of three terms it has not really understood it it has merely cached the data"
X Link 2025-12-03T14:55Z 591.4K followers, 123.3K engagements

"Either you crack general intelligence -- the ability to efficiently acquire arbitrary skills on your own -- or you don't have AGI. A big pile of task-specific skills memorized from handcrafted/generated environments isn't AGI not matter how big"
X Link 2025-12-04T19:04Z 591.4K followers, 115.1K engagements

"Congrats to the ARC Prize 2025 winners The Grand Prize remains unclaimed but nevertheless 2025 saw remarkable progress on LLM-driven refinement loops both with "local" models and with commercial frontier models. We also saw the rise of zero-pretraining DL approaches like HRM and TRM. Lots of new learnings"
X Link 2025-12-05T18:32Z 591.4K followers, 74K engagements

"I did not say ARC X is an upper bound I said the upper bound is much above a full score on ARC X. You could score XXX% on ARC X and still be far below human-level fluid intelligence. Note that XXX% of ARC X tasks are fully solvable by humans which is what matters. "Average performance of a single human from our (very uncontrolled) test sample" is completely irrelevant here Is it not possible that some of them are not well-posed problems and require some luck No since multiple humans solved each of these tasks (at minimum X out of X but usually a much higher fraction)"
X Link 2025-12-11T19:51Z 591.5K followers, 2820 engagements

"Fluid intelligence as measured by ARC X & X is your ability to turn information into a model that will generalize. That's not the only thing you need to make an intelligent agent. To start with when you're an agent in the real world information is not provided to you passively. You have to go get it. That's "exploration": the agent's ability to efficiently acquire useful information (to turn into a world model) by interacting with its environment. Next in the real world you aren't provided instructions. There's no fixed goal. You have to figure what to do. That's "goal-setting": the ability"
X Link 2025-12-12T15:39Z 591.5K followers, 71.8K engagements

"Slide is from my NeurIPS 2025 workshop talk"
X Link 2025-12-12T15:40Z 591.5K followers, 8127 engagements

"AI will evolve from being an automation machine to becoming an invention machine. This will require a fundamentally new paradigm with symbolic search as its core not curve-fitting"
X Link 2025-12-12T18:55Z 591.5K followers, 94.6K engagements

"Back in 2019 ARC X had one goal: to focus the attention of AI researchers towards the biggest bottleneck on the way to generality the ability to adapt to novelty on the fly which was entirely missing from the legacy deep learning paradigm. Six years later the field has responded. With test-time adaptation we finally have reasoning models capable of genuine fluid intelligence. While ARC X is now saturating SotA models are not yet human-level on an efficiency basis. Meanwhile ARC X remains largely unsaturated showing these models are still operating far below the upper bound of human-level"
X Link 2025-12-11T18:24Z 591.5K followers, 164.2K engagements

"The other thing everybody is missing is that future AI (in 10-15 years) will be 4-5 OOM more energy efficient than current AI. The main deployment bottleneck will be hardware not power"
X Link 2025-12-13T23:21Z 591.5K followers, 33.8K engagements