"Accelerating RL Post-Training Rollouts via System-Integrated Speculative Decoding" Speculative decoding for RL rollouts! This paper speeds up post-training without changing the target policy’s sampling distribution. So a draft model proposes multiple tokens, and the policy
LLMS
-

Local LLMs Web Stack Setup With SearXNG Firecrawl and Camofox
By
–
PRO TIP Using local LLMs? Give them a web stack My setup: – SearXNG: candidate source discovery – Firecrawl: known-URL scraping and crawling – Camofox: browser fallback when JS/interaction gets annoying Search → Extract → Interact Tell your favorite agent to set this up,
-

Tenstorrent Galaxy Blackhole Deploys DeepSeek 671B at 350 t/s/u
By
–
That's a wrap on TT-Deploy! ICYMI we launched Tenstorrent Galaxy™ Blackhole deployed at scale with industry winning benchmarks including: – @deepseek_ai 671B at 350+ t/s/u, with a roadmap to 500 t/s/u at $6 per million tokens, extending the low-cost serving curve where GPU
-
AI Hallucinations are Temporary
By
–
Love Germany. I'm half German. When it's nice there it's really nice.
-

Nemotron 3 Super Tops Open Source EnterpriseOps-Gym Leaderboard
By
–
Benchmarks should reflect real-world performance. That’s why we’re excited to share that Nemotron 3 Super has topped the open source category on the EnterpriseOps-Gym leaderboard. This agentic gauntlet evaluates performance across 1,150 tasks in fully interactive environments
-
MLX vs llama.cpp for Inference on Apple Silicon
By
–
MLX is often better on Apple Silicon from my experience llama.cpp is my fallback method
-
Run Local AI Easily Using Codex CLI and Optimized Inference
By
–
Let me make local AI easy for you Give Codex Cli the tweet below & tell it: – Infer the right Inference Engine from your hardware + tweet content below
– Use uv+venv
– Pick the right kernels
– Tune flags, batching, KVCache, etc
– Optimize for your hardware & chosen model Enjoy -
Empathy as Hidden State Modeling in AI Agents
By
–
With empathy, do you mean the ability to model the hidden states of another agent?
-
Teenager spends winter break learning AI development with Claude
By
–
Un enfant de 13 ans de Shenzhen a passé toutes ses vacances d’hiver enfermé dans sa chambre pendant que ses camarades jouaient dehors. Il est resté assis devant un MacBook Air pendant 21 jours d’affilée à regarder des tutoriels sur Claude et à essayer de reproduire ce qu’il… https://t.co/nOruJnhFPX pic.twitter.com/z4CXY4sUD9
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 4 mai 2026Un enfant de 13 ans de Shenzhen a passé toutes ses vacances d’hiver enfermé dans sa chambre pendant que ses camarades jouaient dehors. Il est resté assis devant un MacBook Air pendant 21 jours d’affilée à regarder des tutoriels sur Claude et à essayer de reproduire ce qu’il
-
DeepSeek-V4 free on ZenMux steals attention from paid tools
By
–
If you’re still paying premium prices to test “agentic coding,” you’re already late. DeepSeek-V4 is free on ZenMux right now. API + Chat, OpenAI/Anthropic protocol support, and built to plug into real dev workflows. Most model launches beg for attention. This one steals
