[AINews] Why OpenAI Should Build Slack
a quiet day lets us answer a Sam Altman question
[AINews] new Gemini 3 Deep Think, Anthropic $30B @ $380B, GPT-5.3-Codex Spark, MiniMax M2.5
There's too much going on!
Custom Kernels for All from Codex and Claude
Owning the AI Pareto Frontier — Jeff Dean
From rewriting Google’s search stack in the early 2000s to reviving sparse trillion-parameter models and co-designing TPUs with frontier ML research, Jeff Dean has quietly shaped nearly every layer of the modern AI stack.
Agentic Test-Time Scaling for WebAgents
Test-time scaling has become a standard way to improve performance and boost reliability of neural network models. However, its behavior on agentic, multi-step tasks remains less well-understood: small per-step errors can compound over long horizons; and we find that naive policies that uniformly...
Self-Supervised Learning via Flow-Guided Neural Operator on Time-Series Data
Self-supervised learning (SSL) is a powerful paradigm for learning from unlabeled time-series data. However, popular methods such as masked autoencoders (MAEs) rely on reconstructing inputs from a fixed, predetermined masking ratio. Instead of this static design, we propose treating the corruption...
Think like a Scientist: Physics-guided LLM Agent for Equation Discovery
Explaining observed phenomena through symbolic, interpretable formulas is a fundamental goal of science. Recently, large language models (LLMs) have emerged as promising tools for symbolic equation discovery, owing to their broad domain knowledge and strong reasoning capabilities. However, most...
The Observer Effect in World Models: Invasive Adaptation Corrupts Latent Physics
Determining whether neural models internalize physical laws as world models, rather than exploiting statistical shortcuts, remains challenging, especially under out-of-distribution (OOD) shifts. Standard evaluations often test latent capability via downstream adaptation (e.g., fine-tuning or...
WaveFormer: Wavelet Embedding Transformer for Biomedical Signals
Biomedical signal classification presents unique challenges due to long sequences, complex temporal dynamics, and multi-scale frequency patterns that are poorly captured by standard transformer architectures. We propose WaveFormer, a transformer architecture that integrates wavelet decomposition at...
[AINews] Z.ai GLM-5: New SOTA Open Weights LLM
We have Opus 4.5 at home
🔬Science at the speed of inference — Gabriele Corso & Jeremy Wohlwend, Boltz
Inside Boltz, AlphaFold’s Legacy, and the Tools Powering Next-Gen Molecular Discovery
OpenEnv in Practice: Evaluating Tool-Using Agents in Real-World Environments
Opus 4.6, Codex 5.3, and the post-benchmark era
On comparing models in 2026.
Transformers.js v4 Preview: Now Available on NPM!
Introducing SyGra Studio
Why Nvidia builds open models with Bryan Catanzaro
Interconnects interview #17 on the past, present, and future of the Nemotron project.
Nemotron ColEmbed V2: Raising the Bar for Multimodal Retrieval with ViDoRe V3’s Top Model
Latest open artifacts (#18): Arcee's 400B MoE, LiquidAI's underrated 1B model, new Kimi, and anticipation of a busy month
Tons of useful "niche" models and anticipation of big releases coming soon.