The Archive

As AI workloads increase, explosive compute demand is pushing the semiconductor industry to meet unprecedented performance targets. Even small delays can have... As AI workloads increase, explosive compute demand is pushing the semiconductor industry to meet unprecedented performance targets. Even small delays can have outsized financial impact in fast-moving AI hardware cycles. Simultaneously, the shift from chip-level optimization to system-level engineering is compounding thermal and power challenges. Meeting these demands requires breakthroughs… Source

Modern chip design is increasingly limited by engineering time. Register transfer level (RTL) development and verification require specialized hardware... Modern chip design is increasingly limited by engineering time. Register transfer level (RTL) development and verification require specialized hardware knowledge, precise reasoning, and repeated interaction with electronic design automation (EDA) tools. LLMs have accelerated code generation, and AI agents extend their impact by using verification feedback to iteratively correct errors. Source

Forget YouTube videos—frontier physical AI models need multiple camera angles, dense annotation, and soon, brain wave readings.

Case study: Cohere's North AI agents reduce friction for wealth managers through task automation and time savings.

University of Pittsburgh uses Meta AI models to develop assistive robotics for mobility and independence tasks.

Cohere launches North Automations for orchestrating multi-agent enterprise workflows with monitoring and control.

On the latest episode of Equity, we discussed why Moonshot AI's Kimi seemed to panic Silicon Valley and Wall Street.

Investigation into LLM token reselling market exploiting free trials and stolen credentials, primarily operating in China via open-source proxy software.

"The first autonomous agent cyberattack is an unprecedented event. It deserves an unprecedented response!"

Berkeley BAIR research on training LLMs to dynamically update beliefs during long-horizon tasks, improving sample efficiency in interactive settings.

sqlite-utils 3.39.1 backports delete_where() fix from version 4.

Ruff v0.16.0 enables 413 default linting rules (up from 59), breaking existing CI pipelines and catching syntax/runtime errors previously uncaught.

At libraries around the country, "Avoiding AI" workshops have elicited unprecedented demand.

A close call in Northern Virginia revealed just how poorly data centers respond to grid disruptions. Here's how to fix the problem.

Anthropic releases Claude Opus 5 matching Fable performance at half the cost, demonstrating efficiency gains in model distillation.

Claude Opus 5 achieves lowest prompt injection vulnerability rate across evals and red team testing, per Anthropic's system card.

OpenAI's fancy new AI keypad will be a lot of fun for some, while many others are probably not going to touch it.

Anthropic releases Claude Opus 5, matching Fable 5 frontier performance at half the cost, now leading Artificial Analysis leaderboard.

The neolab is betting that automating routine computer tasks will soon outpace coding as AI's biggest use case.

"Here’s a more natural, flowing version of that section..."

Models are improving quickly, but the cheaper options are often good enough.

Midjourney, which has gone from generating AI cat images to full-body ultrasound scans, is getting into a new field: astrology. The AI startup announced on Thursday that it has acquired the personalized astrology app Co-Star, as reported earlier by Bloomberg. Co-Star is a free app that offers daily horoscopes and allows you to check your compatibility with friends. As noted on the app's FAQ page, it combines human insight, data from NASA, and AI to deliver personalized advice for users each day. The terms of Midjourney's deal, which reportedly closed in spring, haven't been disclosed. Midjour...

AI coding startup Cognition has acquired Poke, the AI assistant you text like a friend, in a deal valuing the startup in the low nine figures. The acquisition brings Poke’s conversational style and interaction model to Cognition’s coding agent Devin, reflecting a growing belief that how AI assistants interact with users is as important as the models powering them.

SM4RT learns structured motion geometry for 4D dynamic reconstruction by modeling rigid-body kinematics instead of point-wise flow.

Skill Self-Play reconciles task diversity and verification reliability in LLM self-evolution via co-evolving skill agents.

Explainable RL framework for air traffic control demonstrates interpretability techniques for high-stakes AI-human collaboration.

Regression Tax study quantifies performance degradation when adding skills to LLM agents across 6K runs on office automation tasks.

PinEqualizer addresses cold-start bias in Pinterest's multi-stage search and recommendation systems.

Quantum Spectral Models encode matrix-level structure via spectral data-reuploading for quantum machine learning.