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# ![@fchollet Avatar](https://lunarcrush.com/gi/w:26/cr:twitter::68746721.png) @fchollet François Chollet

François Chollet posts on X about arc, token, imo, $duol the most. They currently have XXXXXXX followers and XXX posts still getting attention that total XXXXX engagements in the last XX hours.

### Engagements: XXXXX [#](/creator/twitter::68746721/interactions)
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- X Week XXXXXXX -XX%
- X Month XXXXXXXXX +202%
- X Months XXXXXXXXX -XX%
- X Year XXXXXXXXXX -XX%

### Mentions: XX [#](/creator/twitter::68746721/posts_active)
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- X Months XX -XX%
- X Year XXX -XX%

### Followers: XXXXXXX [#](/creator/twitter::68746721/followers)
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- X Week XXXXXXX +0.23%
- X Month XXXXXXX +1.10%
- X Months XXXXXXX +5%
- X Year XXXXXXX +15%

### CreatorRank: XXXXXXX [#](/creator/twitter::68746721/influencer_rank)
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### Social Influence [#](/creator/twitter::68746721/influence)
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**Social topic influence**
[arc](/topic/arc), [token](/topic/token), [imo](/topic/imo), [$duol](/topic/$duol), [$0004task](/topic/$0004task), [$0003task](/topic/$0003task), [finance](/topic/finance), [santa](/topic/santa), [market cap](/topic/market-cap), [collection of](/topic/collection-of)

**Top assets mentioned**
[Duolingo, Inc. Class A Common Stock (DUOL)](/topic/$duol)
### Top Social Posts [#](/creator/twitter::68746721/posts)
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Top posts by engagements in the last XX hours

"Please note we're not able to reproduce the XXXX% ARC-AGI-1 score claimed by the latest Qwen X release -- neither on the public eval set nor on the semi-private set. The numbers we're seeing are in line with other recent base models. In general only rely on scores verified by the ARC Prize foundation on the semi-private set. That way you can trust that the methodology was consistent and fair across all models verified"  
![@fchollet Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::68746721.png) [@fchollet](/creator/x/fchollet) on [X](/post/tweet/1947821353358483547) 2025-07-23 00:49:34 UTC 562.6K followers, 173K engagements


"The goal of education should not be to achieve a certain population average on standardized tests it should be to unlock the highest total individual potential out of students"  
![@fchollet Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::68746721.png) [@fchollet](/creator/x/fchollet) on [X](/post/tweet/1944488267698807043) 2025-07-13 20:05:04 UTC 562.6K followers, 66.1K engagements


"Officially validated IMO gold medal purely via search in token space achieved in XXX hrs (unclear at what compute cost). The solutions read nicely as well"  
![@fchollet Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::68746721.png) [@fchollet](/creator/x/fchollet) on [X](/post/tweet/1947337944215523567) 2025-07-21 16:48:40 UTC 562.7K followers, 157.5K 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"  
![@fchollet Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::68746721.png) [@fchollet](/creator/x/fchollet) on [X](/post/tweet/1904294217712808209) 2025-03-24 22:08:16 UTC 562.6K followers, 26.4K engagements


"In my personal experience with Duolingo I found that it isn't an education app it's a mobile game -- it's completely ineffective at teaching languages but it's quite entertaining and it's great at making you *feel* like you're learning"  
![@fchollet Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::68746721.png) [@fchollet](/creator/x/fchollet) on [X](/post/tweet/1943404043050565907) 2025-07-10 20:16:45 UTC 562.6K followers, 513.4K engagements


"Official verification of Qwen3-235b Instruct: it gets XX% on ARC-AGI-1 and XXX% on ARC-AGI-2 (semi-private sets). These numbers are in line with other SotA base models. Qwen3 stands out by being the cheapest base model we tested to score above XX% on ARC-AGI-1"  
![@fchollet Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::68746721.png) [@fchollet](/creator/x/fchollet) on [X](/post/tweet/1948481171220037827) 2025-07-24 20:31:26 UTC 562.7K followers, 38.6K engagements


"Of the top XX US tech companies by market cap only X is headquartered in SF (Salesforce). That's less than Austin (which has 2). The bulk of US tech companies are headquartered in Santa Clara county (11 out of the top 20). The nearest major city (by a lot) is San Jose. SF is over X hour away (up to X if there's traffic)"  
![@fchollet Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::68746721.png) [@fchollet](/creator/x/fchollet) on [X](/post/tweet/1946367290389491953) 2025-07-19 00:31:38 UTC 562.6K followers, 157.4K engagements


"Because AI is an engineering discipline and not a scientific field it's never possible to fully separate the properties of a given approach from those of its specific implementations. The artifact is the method"  
![@fchollet Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::68746721.png) [@fchollet](/creator/x/fchollet) on [X](/post/tweet/1950363032783376419) 2025-07-30 01:09:17 UTC 562.7K followers, 37.4K engagements


"Today we're releasing a developer preview of our next-gen benchmark ARC-AGI-3. The goal of this preview leading up to the full version launch in early 2026 is to collaborate with the community. We invite you to provide feedback to help us build the most robust and effective benchmark possible. ARC-AGI-3 is the continuation of the ARC series of AI benchmarks: Focus on generalization and adaptation to novelty Easy for humans yet extremely difficult for AI Built exclusively on Core Knowledge priors with no other domain-specific knowledge required The biggest evolution is a complete shift to an"  
![@fchollet Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::68746721.png) [@fchollet](/creator/x/fchollet) on [X](/post/tweet/1946263368572244147) 2025-07-18 17:38:41 UTC 562.7K followers, 1.3M engagements


"Intelligence isn't a collection of skills. It's the efficiency with which you acquire and deploy new skills. It's an efficiency ratio. And that's why benchmark scores can be very misleading about the actual intelligence of AI systems"  
![@fchollet Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::68746721.png) [@fchollet](/creator/x/fchollet) on [X](/post/tweet/1946668452045029861) 2025-07-19 20:28:20 UTC 562.6K followers, 188.1K engagements


"Note that the v1 semi-private eval set is about the same level of difficulty as the v1 public eval set. The fully private eval set (used for the 2020 and 2024 Kaggle competitions) is estimated to be more difficult. ARC-AGI-2 does not have this issue -- all sets were calibrated to be the same difficulty"  
![@fchollet Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::68746721.png) [@fchollet](/creator/x/fchollet) on [X](/post/tweet/1948481633709146129) 2025-07-24 20:33:17 UTC 562.7K followers, 13.8K engagements


"Big news: we just released Keras XXX Run Keras on top of JAX TensorFlow and PyTorch Train faster with XLA compilation Unlock training runs with any number of devices & hosts via the new Keras distribution API It's live on PyPI now 🚀"  
![@fchollet Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::68746721.png) [@fchollet](/creator/x/fchollet) on [X](/post/tweet/1729512791894012011) 2023-11-28 14:49:17 UTC 562.7K followers, 1.3M engagements