Recursive Flint: The Free Coding Model That Runs on a Laptop, and Was Mostly Built by AI
Recursive Flint is a free, Apache 2.0 coding model that runs offline on a laptop. What it does, how fast it is, its limits, and what it means for developers.
Models
OpenAI Models on Google Cloud: What Changes for Developers and Businesses
OpenAI models on Google Cloud arrive in Model Garden within weeks, with Codex and existing spend commitments. Here is what builders and IT buyers should know.
MiniMax M3.1 Flash Launches at $0.15 per Million Input Tokens, Built for Agents and Code
MiniMax M3.1 Flash is out on the MiniMax API at $0.15 per million input tokens and 200+ tokens a second. Here is what it does, what it costs and how it compares.
Mercury 3 Launches: Inception's Diffusion Model Hits 1,000+ Tokens per Second at $0.20 per Million
Mercury 3 from Inception Labs is a diffusion language model that writes over 1,000 tokens per second, with a 1M-token context and prices from $0.20 per million.
OpenAI Humanoid Robot Confirmed: Altman Says "We Will" Build One, With a Demo in 2027
Sam Altman has confirmed an OpenAI humanoid robot is in the works, with a demo expected in 2027 and 27 robotics jobs open. Here is what we know and what we don't.
Replit Makes OpenAI the Default for Replit Agent, Pushing Claude to an Option
Replit Agent now runs on OpenAI models by default. CEO Amjad Masad cites cost and performance, while Claude stays available as an option for users.
DeepSeek V4.1-Flash-1017 Adds Paid Search API and Tops Its Own Agent Benchmarks
DeepSeek V4.1-Flash-1017 brings higher agent benchmark scores, open weights and a paid Search and Fetch API. Here is what changed and what it costs to use.
How Itaú Unibanco Is Building Customer-Facing Generative AI at Scale
Latin America’s largest private bank, Itaú Unibanco, is deploying a unified generative AI platform to serve its 70 million customers. By pairing AWS cloud architecture with strict internal governance, the institution is scaling digital-agent services while maintaining enterprise compliance and client trust.
Meta Releases Muse Spark Open: 816B Parameter Open-Weight Multimodal MoE Model
Meta Superintelligence Labs has launched Muse Spark Open, an 816-billion-parameter open-weight Mixture-of-Experts model featuring 42 billion active parameters and a 1-million-token context window. Optimized for agentic coding and native multimodal processing across text, audio, image, and video, the model introduces hardware optimizations for local and cloud infrastructure.
Black Forest Labs and Hugging Face Launch FLUX.3 Image Klein with Native Diffusers Support
Black Forest Labs has released FLUX.3 Image Klein, a 5.6-billion-parameter open-weight image generation and editing model. Arriving with day-one integration in Hugging Face’s Diffusers library, the architecture combines multi-reference image conditioning, coordinate-based bounding box layout controls, and Qwen3-VL text encoding.
When AI Agents Negotiate: The Structural Vulnerabilities of Autonomous Delegation
A satirical experiment by creator Graham Dot Zip exposing the breakdown between an AI job candidate and an AI recruiter reveals deep risks in delegation. When autonomous bots hallucinate qualifications, undercut reservation prices, and commit without human approval, simple agentic workflows quickly become financial liabilities.
Reflection AI Releases Beam: A 501B Open-Weight Sparse MoE Model for Agentic Workloads
Artificial intelligence startup Reflection AI has released Beam, an open-weight sparse Mixture-of-Experts model boasting 501 billion total parameters and 23 billion active parameters. Released under an Apache 2.0 license, Beam is optimized for code synthesis, complex reasoning, and long-horizon agentic workflows.
UK Government Outlines AI Regulatory Framework Amid Looming Cyber Threat Warnings
Following warnings from AI Minister Kanishka Narayan regarding potential cyber breaches, the UK government has announced plans for mandatory safety reporting and tighter controls on frontier AI models. Former MI6 Director Nigel Inkster weighs in on national vulnerability and the reality of AI-driven cyber threats.
Phase-Separated Auditing Prevents Evidence Erasure in LLM-Assisted Formal Verification
A formal verification study by independent researcher Adarsh Agrawal demonstrates that providing correctness feedback during completeness audits in Verus inadvertently erases evidence of incomplete contracts. The paper introduces a phase-separated workflow that more than doubles certified witness discovery rates.
McKinsey Pilots AI Client Avatar Simulations in Entry-Level Consulting Interviews
Global management consultancy McKinsey & Company has introduced a 10-minute AI avatar exercise for North American entry-level applicants. Designed to simulate realistic client interactions, the tool challenges candidate reasoning while human evaluators retain full hiring authority.