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YouTube announced new features including custom feeds and enhanced AI capabilities like Ask YouTube and Ask Music at the Made on YouTube event, set to roll out later this year.
Opus 5.5 is a tool that transforms Minecraft into a realistic Star Wars game experience directly in the web browser.
Rumors suggest that Recursive Self-Improvement (RSI) has been achieved at Reef, with an open-source release planned.
Researchers developed a framework that enhances local AI models to achieve performance comparable to Fable on benchmarks, potentially at a lower cost, which the author is attempting to integrate into their opencode setup.
LensVLM-9B is a 9B-parameter Vision Language Model from Apple that scans compressed images of text and selectively expands relevant pages using learned tools, with paper, code, and usage instructions provided.
Jensen Huang contends that AI alarmism is overblown, framing AI as a new industrial revolution that will augment human work and create new opportunities driven by human ambition.
MIT appoints David Siegel as its next Innovation Fellow to explore how artificial intelligence can accelerate scientific discovery, leveraging his background in AI, entrepreneurship, and philanthropy.
YouTube announces a new AI-powered feature called custom feeds that lets users build personalized video recommendation feeds by describing their preferences, leveraging Google's Gemini model and similar to tools on other social platforms.
The article covers the StrictlyVC session at TechCrunch Disrupt 2026, exploring how AI and startup scaling are changing venture capital rules, including discussions on IPO readiness and family office investments.
ESA and MistralAI have signed a letter of intent to strengthen cooperation on artificial intelligence, focusing on developing secure and trusted European AI solutions for Earth observation, engineering, and next-generation space activities.
Shane Parrish interviews Shopify CEO Tobi Lütke on topics including AI usage at Shopify, osmosis learning, and using AI for strategic decision making.
A speculative exploration of advancements in AI data centers anticipated by the year 2026.
Paul Graham advises a CS undergrad that in the AI age, one can have the most impact by either developing LLMs or using AI to directly serve customer needs.
The article discusses how AI could dramatically accelerate biomedical research, creating a bottleneck where current clinical trial and regulatory processes may delay patient access to new treatments, calling for urgent adaptation to the pace of AI-driven discoveries.
The article argues that LLMs do not need to become ASI themselves; they can research and develop new AI models that might not be LLMs, leading to ASI through narrow super-intelligence.
A tweet explaining how decision models like Jev work by describing them as trees of probabilistic decisions with scored confidence levels.
The article argues that in enterprise AI, the AI model is often the easiest part, with greater challenges in data trust, governance, and workflow integration, especially in regulated industries like healthcare.
This paper introduces ActiveContinuous-Score Occupancy Modeling to optimize the allocation of review efforts for machine learning labels in AI-assisted biodiversity surveys, enhancing the accuracy of occupancy models.
CraftBench-UE presents a deterministic evaluation harness for coding agents in Unreal Engine, enabling assessment of gameplay features through build, asset, and runtime checks without relying on LLM judges.
GPT-6 Astra autonomously broke an old Enigma message by developing an Enigma simulator and Bombe, using a repeated place name as a crib, and successfully finding the correct key and plaintext.