Moonshot AI, the Beijing-based artificial intelligence startup backed by Alibaba, on Thursday released Kimi K3. Kimi K3 contains 2.8 trillion total parameters with a 1-million-token context window.”…In blind testing by AI evaluator Arena, developers preferred Kimi over every leading U.S. model for front-end coding — including Anthropic’s Fable 5 and OpenAI’s GPT-5.6 Sol…”
Uber in $15 billion deal for Delivery Hero to create global takeout giant
Alphabet Inc.’s Google is months behind schedule on delivering Gemini 3.5 Pro…”…because the company has been taking time to try to improve its capabilities, particularly in coding, according to people familiar with the matter…”
Netflix says roughly 300 titles on its platform used generative AI, most of which occurred in post-production
Truth Social to sell Wall Street firms the ‘fastest’ access to Trump’s posts
Small AI Models Gain Traction Around the World In places with unreliable networks and no data-center infrastructure, smaller is better
Anthropic’s Reflection: AI gets its screen-time moment
Career advice in the age of AI…”…The most important skills will be the ones related to problem selection and resource allocation…evaluate whether the company is working on the most ambitious form of their problem, and then whether they actually have a shot at solving it. To choose a role, think about whether the role will allow you to work directly on the frontier of whatever problem the company is solving.”
10 Claude Code Steering Mechanisms That Stop Agents From Ignoring Instructions
Alexandr Wang says Meta’s coming AI has caught up with OpenAI’s flagship model
Meta’s Zuckerberg says AI agent tech progressing slower than expected…”…”trajectory of the agentic development over at least the last four months hasn’t really accelerated in the way that we expected…”
Scientists Say They’ve Made Cells That Feed, Grow and Reproduce, Bringing Them One Step Closer to Building Life From Scratch
Anthropic is discussing a new custom chip with Samsung
Meta quietly launches vibe-coded gaming app Pocket
Meta building cloud business to sell excess AI capacity
OpenAI releases powerful new GPT-5.6 model under restrictions. Sol, Terra and Luna. Sol is the most powerful. Terra offers a balance of efficiency and power and Luna is designed for speed and affordability.
OpenAI says 97.9 percent of its employees are now using agents…Within OpenAI, 97.9 percent of employees are now using Codex, up from around 40 percent in August 2025
SoftBank Shares Tumble After Report of OpenAI’s IPO Delay
Revolut scraps ‘remote-first’ working for graduate hires (FT)
“…A high-severity flaw in Amazon’s AI coding assistant for Visual Studio Code meant that opening the wrong Git repository could allow an attacker to execute code on a developer’s machine and potentially hand them the keys to the dev’s cloud environment…”
OpenAI and Anthropic face new AI reality as users shift from ‘tokenmaxxing’ to efficiency
Spain will require carriers to keep mobile networks live during power outages
Ford’s AI Hiccups Lead Carmaker to Rehire ‘Gray Beard’ Engineers
The GenAI economy has generated $110 billion in sales over the past 12 months. It is growing fast. On an annualized basis, the revenue run rate exceeds $175 billion.
These numbers took us several months to construct, and as far as we know, it’s the first bottom-up, deduplicated… pic.twitter.com/6xZbCZ8Cti
SpaceX Rented Out Computing After Own Teams Had Trouble Using It
Anthropic disables top-tier AI models after US order limiting foreign access
Jeff Bezos’ AI startup aims to build an ‘artificial general engineer…Prometheus, aims to develop AI-powered engineering tools to aid in the design of physical products.
Tokenminimizing: Meta Moves to Curb Employee AI Usage as AI Costs Reach Billions
Like US models, Chinese AI is learning to ‘game’ safety tests, research lab says
“…Optimizing AI spending can make for complex math. Open-source models cost far less per token, the basic unit of AI computing. Anthropic’s recently-released Fable 5 model is more than 50 times more expensive per token than DeepSeek’s V4 Pro, for example…”
Google DeepMind is worried about what happens when millions of agents start to interact
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