Jean-Marc Brun

Math, Informatic and Sciences

[Linas Beliūnas @linasbeliunas]

Insane: OpenClaw founder Peter Steinberger spent $1.3 million in tokens in just 30 days 😳

$1,3,00,000 in tokens from just one person coding & shipping with AI…

To put that into perspective, for $1.3M, you could:

→ Hire 6-7 senior software engineers in the US. For a full year.
→ 14-16 Sr. SWEs in Lithuania. For a full year.
→ 24-26 Sr. SWEs in India. For a full year 🤯

Now we know why he really joined OpenAI…

Tokenmaxing is getting out of hand.

[Jean-Marc Brun @JeanMarcBrun]

https://t.co/w1s31TyywU

[I Am Devloper @iamdevloper]

Black Mirror S8E1: In 2027, developers are allocated a daily Claude token allowance by the government. A junior dev burns through his entire month's supply trying to centre a div. His family starve. He is forced to write the code himself. He can't. Society collapses.

[ARC Prize @arcprize]

Announcing ARC-AGI-3

The only unsaturated agentic intelligence benchmark in the world

Humans score 100%, AI <1%

This human-AI gap demonstrates we do not yet have AGI

Most benchmarks test what models already know, ARC-AGI-3 tests how they learn

[François Chollet @fchollet]

ARC-AGI-3 is out now! We've designed the benchmark to evaluate agentic intelligence via interactive reasoning environments. Beating ARC-AGI-3 will be achieved when an AI system matches or exceeds human-level action efficiency on all environments, upon seeing them for the first time.

We've done extensive human testing that shows 100% of these environments are solvable by humans, upon first contact, with no prior training and no instructions.

Meanwhile, all frontier AI reasoning models do under 1% at this time.

[Jean-Marc Brun @JeanMarcBrun]

https://t.co/42fO6Xla9q #GAFAM #YouTube #Google

[Jean-Marc Brun @JeanMarcBrun]

#GAFAM https://t.co/HpFN2GCTBQ #youtube #Google

[Jean-Marc Brun @JeanMarcBrun]

@gcpweekly

[Jean-Marc Brun @JeanMarcBrun]

https://t.co/OIKhoJqXJd #France #impots #servicepublic

[Jean-Marc Brun @JeanMarcBrun]

la CGT de Loire Atlantique (44)(la CGT de Loire Atlantique (44)|textebrut) https://t.co/DstlKmXEuD

[MrPhi @MonsieurPhi]

NOUVELLE VIDEO !
Je décortique le cas Luc Julia, le réputé co-créateur de Siri et expert mondial de l'IA, encensé dans les médias et récemment auditionné au Sénat.

https://t.co/tIxilQCSfU
https://t.co/tIxilQCSfU
https://t.co/tIxilQCSfU

Le résultat est salé mais nécessaire.

[Jean-Marc Brun @JeanMarcBrun]

https://t.co/QcXAiyvSfc #gaza #GazaStarving #GazaGenocide‌

[Jean-Marc Brun @JeanMarcBrun]

https://t.co/ntBaxVGrBE #AI #IA #Environment #Sustainability

[Jean-Marc Brun @JeanMarcBrun]

https://t.co/q7Y1SmwpoQ #Gaza #Palestine #Genocide #GenocideinGaza #GenocideInPalestine #GazaGenocide #Israel

[Devfest Nantes @devfestnantes]

🎉 Qlik est sponsor Gold du #DevFestNantes 2025 !
Retrouvez-nous au stand #G3 pour parler Data, Analytics & IA.
Conférences, rencontres & une touche de magie vous attendent en octobre !
#DevFest #LifeAtQlik #Hiring

[Axel Backlund @axelbacklund]

The most fun I've ever had at work: collaborating with @AnthropicAI and placing a Claude-operated vending machine at their office

[Sakana AI @SakanaAILabs]

Introducing The Darwin Gödel Machine: AI that improves itself by rewriting its own code

https://t.co/wEEB4LGPr0

The Darwin Gödel Machine (DGM) is a self-improving agent that can modify its own code. Inspired by evolution, we maintain an expanding lineage of agent variants, allowing for open-ended exploration of the vast design space of such “self-improving” agents.

Modern agentic systems, while powerful, remain static—once deployed, their intelligence remains fixed. We believe continuous self-improvement is key to the development of stronger AI capabilities. Our Darwin Gödel Machine is built from the ground up to enable AI systems that can learn and evolve their own capabilities over time, just as humans do.

On SWE-bench, DGM automatically improved its performance from 20.0% to 50.0%. Similarly, on Polyglot, the DGM increased its success rate from an initial 14.2% to 30.7%, significantly outperforming representative hand-designed agents.

Learn more about our approach in our technical report: https://t.co/kDNWFgCI6C

This work was done in collaboration with Jeff Clune (@jeffclune)’s lab at UBC, and led by his PhD students Jenny Zhang (@jennyzhangzt) and Shengran Hu (@shengranhu), together with Cong Lu (@cong_ml) and Robert Lange (@RobertTLange).

Code: https://t.co/RcYLd22TB5

[Jean-Marc Brun @JeanMarcBrun]

Nantes : cette association donne une deuxième chance aux plantes et aux gens https://t.co/U76EQGESbM via @actufr

[Jean-Marc Brun @JeanMarcBrun]

https://t.co/F8FhlKyelM #Nantes #velo #wattignies

[Jean-Marc Brun @JeanMarcBrun]

Why does Deepseek-R1 hallucinate so much? https://t.co/GhnVsEauUU #hallucinations