AI
Artificial intelligence: LLMs, agents, diffusion, vision, NLP and the latest from top labs.
593 published articles
Explainable AI: energy forecasting research
Explainability Assistant parses 94% of queries, beating TalkToModel's 76.8%
Intent-parsing accuracy in conversational XAI climbs to 94% from TalkToModel's 76.8%, and specialists unanimously preferred the new system to a conventional dashboard. What the evaluation does not measure is whether operators make better decisions.
2026-09-20
On-policy distillation | Folding EOPD and ToDi into one family
A 33-of-36 result, published with the authors' own asterisk
A four-coefficient family for gating per-token losses in on-policy distillation beats single-channel baselines in 33 of 36 cells. The authors then call their own counts directional evidence and their three-seed replications not significant.
2026-09-20
LLM interpretability: arXiv preprint, 10 Sep 2026
Qwen, Llama and Gemma split on when a model stops routing and starts answering
The preprint 'From Parameters to Answers' separates what a model can read early from what actually steers its output. Across Qwen, Llama and Gemma the trajectories differ, and one request direction keeps a late effect that a simple early-versus-late story cannot explain.
2026-09-20
AI research: industrial content risk control
SIRF's 15.1-point gain lives in the weights, not the prompt
SIRF moves a platform's moderation rules out of the prompt and into the model's weights through continued pretraining on synthetic policy data. The paper's real selling point is its control: one variable changed, 15.1 points gained.
2026-09-19
AI research: multi-agent decision-making on arXiv
A panel of AI agents can agree and still be wrong, paper argues
Voting, electoral rules and LLM judges all map evidence to labels in one direction, so their errors can be correlated. A new paper proposes ranking agents by a reverse Bayesian posterior instead, and reports its biggest gains where agents disagree.
2026-09-19
AI research: an arXiv preprint dated 10 September 2026
COBRA-Skills cuts agent skill tuning costs by 55-58% on 50 examples
COBRA-Skills pairs contextual-bandit prioritization with skill evolution to cut agent skill optimization costs by 55-58% against SkillOpt, using 50 unique examples per benchmark.
2026-09-19
Legacy code modernization with AI agents
Mistral's 40,000-line Fortran rewrite shows where agent autonomy runs out
Mistral moved 40,000 lines of Fortran 77 to C++ for an unnamed energy client and published the workflow. Its first attempt, run by fully autonomous agents, produced Fortran retyped in C++ syntax. Numerical parity checks and a human in the loop fixed that.
2026-09-19
AI funding: Samsung Electronics leads Mistral's Series D
Mistral's record €3B raise tests what sovereign AI really means
Mistral's €3B Series D is Europe's biggest equity raise, the company says. The sovereignty pitch and the three-continent cap table tell two different stories.
2026-09-18
Qwen / Alibaba
Qwen3.8-27B can read 1M tokens, but only if you flip the right flags
Qwen3.8-27B ships a reasoning-effort dial and a 262K native context that stretches to 1M tokens with the right flags. The catch, buried in Alibaba's own guide: dialing the thinking down can slow agent pipelines. Here is what the flags do and when low effort backfires.
2026-09-18
Streaming video anomaly detection research
ReactVAU wakes its heaviest model only when a video stream turns suspicious
ReactVAU splits streaming video anomaly detection into a cheap always-on filter and an expensive reasoner that sleeps until something looks wrong. The paper claims big compute savings but publishes no numbers to back it.
2026-09-18
Artificial Intelligence · Leadership change
ElevenLabs' enterprise revenue hits 55%. Its new CFO took Adyen public.
Ethan Tandowsky, former CFO of payments group Adyen, joins ElevenLabs as large customers climb to 55% of its revenue. The hire puts a public-company finance chief inside a voice AI startup that has said nothing about a listing.
2026-09-18
Sovereign AI · Germany's language models
Aleph Alpha needed 4 trillion German tokens. The open web offers 1.94.
Aleph Alpha's ablation work sets a 4-trillion-token floor for German pre-training. The six largest free German datasets total about 1.94 trillion, and roughly 600 billion of that is machine-translated English.
2026-09-17