Alexander Doria

thanks to synthetic environments we can run matrix in reverse. www.anthropic.com/research/ali...

An alignment assessment of recent cybersecurity incidents anthropic.com

now in nyt. www.nytimes.com/2026/09/10/s...

nytimes.com

Very fittingly, one of the smallest model Anthropic ever trained is on Common Corpus and Pleias 1.2B tokenizer: 2.9M model artificially expanded to 331M to study weights interference for the new Transformer Circuits. transformer-circuits.pub/2026/interfe...

Characterizing interference weights in a tiny language model transformer-circuits.pub

Yes with CoT. Transformer circuit also has experiments with straight (simpler) operations. transformer-circuits.pub/2025/attribu...

Circuit Tracing: Revealing Computational Graphs in Language Models transformer-circuits.pub

And we open source open source our library for cache augmented generation on raspberry pi. github.com/Pleias/pi-ca...

GitHub - Pleias/pi-cache-augmented-generation github.com

Alors c’est un peu de la source brute mais les model report chinoise récents. Typiquement puisqu’on en parle beaucoup en ce moment, GLM 5 arxiv.org/pdf/2602.15763

arxiv.org

We designed a synthetic environment to model users' message and distress signals. We describe our experimental methodology for specialize synthetic environment at scale in a paper accepted to ACL finding. arxiv.org/pdf/2604.182...

arxiv.org

Il y avait une bonne série de sortie de modèles math l’année dernière avec même Goedel full open (weights + post-training data) brièvement à l’état de l’art. arxiv.org/abs/2508.03613

Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction arxiv.org

Doing the most responsible thing an European AI labs can do after this weekend: shipping a blogpost. Why the EU can't into AI, how it's not about compute, but actual skill issue and failing for years to build an actual training ecosystem. pleias.ai/blog/fable-eu

Pleias pleias.ai

After months of delay, here comes the successor post to "The model is the product": the AI decoupling. All about MoE high margin economics, synthetic pretraining weakening commoditization and the new push toward Model IP. vintagedata.org/blog/posts/t...

The Ai Decoupling | Vintage Data vintagedata.org

And new technical blogpost by Pleias application team on deploying small reasoning models for edge devices : featuring cache context management on Rasperry, designing system orchestration under constraints (reranker, chunking) and model specialization. pleias.ai/blog/local-a...

Pleias pleias.ai

Announcing the first industrial application of SYNTH: we trained a 600m reasoning model for one of the largest infrastructure in the world, the subway of Paris. pleias.ai/blog/sillon-...

Pleias pleias.ai

so basically i took a turn from humanities to ai, all for math to be finally humanities-pilled.

EU singular vision of AI: without compute, money, research.

current read, immediately joining my list of retroactive llm literature.

Something I hardly see addressed in the goncourt/ai discourse: it's still pretty hard to generate a workable novel (let alone good), especially considering he seems to have used a previous generation model (gpt-4o style + natural time lag before publishing).