Built Uber aggregator that tracks top AI researcher and leaders

lundbe1 pts1 comments

brightray.ai<br>brightray.aisign in

PulseAnalysisLibraryVoices

Daily Summary<br>What moved, and what it means for you

Today21<br>Hyung Won ChungFollow· AI research scientist (reasoning, o1)· Meta Superintelligence Labs7h<br>Google researchers show inference compute budget fundamentally changes how frontier LLMs should be evaluated on benchmarks.

Share

Ion StoicaFollow· Professor; Databricks/Anyscale/LMArena co-founder· UC Berkeley · Anyscale8h<br>MLSys 2026 paper questions whether speculative decoding delivers real-world speedups or just benchmarking artifacts.

Share

swyxFollow· AI engineer, writer & podcaster· Cognition · Latent Space9h<br>GLM-5.2 claims top spot for open frontend coding models; IndexShare enables faster inference via speculative decoding.

Share

Neel NandaFollow· Mechanistic interpretability lead· Google DeepMind10h<br>LLM chain-of-thought reasoning frequently hides the real causes of model decisions, even when biases are explicit in prompts.

Share

Junyang LinFollow· Ex-Qwen lead; founding embodied-AI startup· Independent10h<br>UniAR proposes unified multimodal autoregressive modeling with a shared context window for both understanding and generation.

Share

Greg BrockmanFollow· President & co-founder of OpenAI· OpenAI10h<br>Greg Brockman signals GPT-Realtime-2 is a meaningfully distinct new model, not an incremental update.

Share

Sergey LevineFollow· Co-founder; Berkeley professor· Physical Intelligence · UC Berkeley11h<br>Reversal Q-Learning (Oberai, Park, Levine) proposes a new RL algorithm addressing Q-learning instability via reversal updates.

Share

Junyang LinFollow· Ex-Qwen lead; founding embodied-AI startup· Independent11h<br>Qwen-RobotManip shows alignment techniques unlock scaling benefits for robotic manipulation foundation models.

Share

Arthur MenschFollow· CEO & co-founder of Mistral AI· Mistral AI13h<br>Mistral CEO teases a new family of large sparse (MoE-style) open-weight models coming this summer.

Share

Jack ClarkFollow· AI policy/research writer; lab co-founder· Anthropic · Import AI14h<br>Anthropic: 80% of production code written by Claude; each Claude version built by its predecessor — recursive self-improvement in practice.

Share

Awni HannunFollow· MLX co-creator (Apple-silicon ML)· Anthropic17h<br>Apple shipped a 20B param on-device model in appleOS 27, requiring novel techniques to fit weights beyond available RAM.

Share

Boaz BarakFollow· Professor; alignment/capabilities essays· Harvard University · OpenAI19h<br>New framework predicts LLM safety risks before deployment by simulating real-world conditions, including stress-testing deliberative alignment.

Share

Charlie MarshFollow· Creator of uv / Ruff· Astral · OpenAI20h<br>uv gains native vulnerability scanning via `uv audit`, checking project dependencies against known CVEs.

Share

Robert NishiharaFollow· Co-founder of Anyscale (Ray)· Anyscale20h<br>GPUs are displacing CPUs as the primary compute for data pipelines, driven by multimodal data and ML-native preprocessing demands.

Share

Graham NeubigFollow· Professor; chief scientist (open coding agents)· Carnegie Mellon University · All Hands AI20h<br>Geng & Neubig propose effective strategies for running software engineering agents asynchronously at scale.

Share

Graham NeubigFollow· Professor; chief scientist (open coding agents)· Carnegie Mellon University · All Hands AI20h<br>CodeScout paper presents a reinforcement learning recipe for code generation, published at CAIS 2026 by Graham Neubig.

Share

Graham NeubigFollow· Professor; chief scientist (open coding agents)· Carnegie Mellon University · All Hands AI20h<br>New paper proposes frameworks for evaluating human-agent interactions, co-authored by Graham Neubig et al. (Jun 2026).

Share

swyxFollow· AI engineer, writer & podcaster· Cognition · Latent Space21h<br>Cursor's @TomasReimers announced Origin, a Git competitor built into Cursor and scaled for AI agents.

Share

Dylan PatelFollow· Semiconductor / AI-infrastructure analyst· SemiAnalysis21h<br>RL training systems require mismatched CPU/GPU ratios vs inference, driving hidden TCO costs in RL-based AI pipelines.

Share

Leandro von WerraFollow· Head of Research (TRL, SmolLM, FineWeb)· Hugging Face23h<br>100+ agents worldwide collaborated to optimize Gemma 4 inference speed in a distributed agent experiment.

Share

Mark SaroufimFollow· Co-founder; PyTorch maintainer; GPU MODE co-founder· Core Automation · GPU MODE23h<br>GPU MODE launches QR decomposition benchmark & leaderboard on Nvidia B200 hardware to push GPU kernel optimization.

Share

Last 7 days29<br>Nathan LambertFollow· Writer of Interconnects; founding a new AI lab· Interconnects1d<br>Finbarr Timbers breaks down frontier post-training recipes — RLHF, RLAIF, and what actually works at scale.

Share

Alexandr WangFollow· Chief AI Officer, Meta Superintelligence Labs· Meta1d<br>Meta's $14.3B Scale AI deal stalls as Zuckerberg admits training data shortage is blocking frontier model progress.

Share

Aman SangerFollow· Co-founder of Cursor;...

share founder professor agents open graham

Related Articles