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A Harvard Business School study of 150 junior consultants over 12 months found that those who treat AI as a collaborative partner—actively interrogating outputs and refining prompts—reported 40% faster skill acquisition,…
Together AI released a significant update to its inference platform, giving users complete control over performance, cost, and quality without building their own stack. The platform supports open-weight, licensed closed-…
Researchers propose UnMixNet, a physics-closed graph neural solver that embeds Maxwell-Stefan multicomponent transport PDEs, competitive adsorption ODEs, and nonlinear sensor transduction ODEs into end-to-end gas unmixin…
Gritt has raised $32 million in combined pre-seed and Series A funding for AI-powered robotic systems that attach to existing construction equipment to install solar panels up to four times faster than manual crews. The …
Moonshot AI's Kimi K3, a ~2.8-trillion-parameter open-weight model released in mid-July 2026, trails Anthropic's Claude Fable 5 and OpenAI's GPT-5.6 Sol overall but beats closed models on coding, agent, and engineering t…
The Salamanca City Central School District in New York is spending $57,000 to deploy a humanoid robot named "Sally" in high school classrooms this fall, becoming one of the first U.S. districts to use an AI-powered machi…
Thinking Machines Lab, led by former OpenAI CTO Mira Murati, unveiled Inkling, a 975-billion-parameter open-weights model that tops the Artificial Analysis Intelligence Index in the U.S. but trails top Chinese models on …
Sentinel, an open-source QA agent released under MIT, reads a full-stack codebase to derive and test critical business flows end to end, surfacing bugs invisible from the UI alone. When pointed at KaribuKit, a hotel prop…
Mesh LLM and Iroh are converging to enable distributed, scalable, and privacy-preserving AI. Mesh LLM decentralizes large language model training across interconnected compute nodes, while Iroh provides peer-to-peer data…
Researchers introduced the Native Differentiable Virtual Machine (NDVM), a runtime structure that blends symbolic structure with numerical computation to accelerate AI model calibration. NDVM achieves about 60x per-lane …
Three humanoid robotics companies moved toward public markets in a single week: Agility Robotics filed to go public via SPAC at $2.5 billion, Unitree cleared its Shanghai IPO, and Tesla began converting a Model S product…
Anthropic researchers identified a possible global workspace in language models, where certain internal representations become available for report and control, analogous to an internal workbench. The findings do not set…
Midjourney released a behind-the-scenes video of its full-body ultrasound scanner, showing the machine's hardware assembly but not providing clinical validation data. CEO David Holz said the company's lack of investors a…
Nick Nisi and swyx taught a workshop titled "Lifestyles of the AI-Native" at the AI Engineer World's Fair in San Francisco, where attendees learned voice coding, agent loops, verification gates, and scheduled tasks to mo…
Scott Belsky's newsletter explores the challenges of grasping exponential technological growth, the shift toward efficient AI, talent density scoring, and the entertainment industry's need to learn from sports teams like…
Researchers have demonstrated a new class of AI-powered computer worm that uses large language models to generate unique attack strategies for each target it infects. The worm, which spreads across Linux, Windows, and Io…
Google's new 24/7 agentic assistant Gemini Spark successfully helped a user find drugstore deals and plan a packing list, though one coupon code was invalid. The AI tool, which runs on cloud-based virtual machines and in…
An engineering manager with two teams of 14 engineers reported that individual AI memory systems create a critical knowledge gap in team workflows, where one engineer's AI learns from debugging a Stripe webhook issue but…
Researchers have developed MobileGym, an Android-like operating system that runs entirely in a browser, enabling verifiable and highly parallel simulation for mobile GUI agent research. The platform covers 28 real-world …
Hugging Face researchers released a new method called delta weight sync that reduces the per-step weight transfer in asynchronous reinforcement learning from 1.2 GB to as little as 20 MB for a 0.6B parameter model. The t…