Moonshot AI has released Kimi K2.5, which the company says is the most powerful open-weight model available. The model can independently coordinate up to 100 AI agents working in parallel on complex tasks.
AI research institute Allen AI has released SERA, a family of open-source coding agents designed for easy adaptation to private code bases. The top model, SERA-32B, solves up to 54.2 percent of problems in the SWE-Bench-Test Verified coding benchmark (64K context), outperforming comparable open-source models.
According to AI2, training takes just 40 GPU days and costs between $400 to match previous open-source results and $12,000 for performance on par with leading industry models. This makes training on proprietary code data realistic even for small teams. SERA uses a simplified training method called "Soft-verified Generation" that doesn't require perfectly correct code examples. Technical details can be found in the blog.
The models work with Claude Code and can be launched with just two lines of code, according to Allen AI. All models, code, and instructions are available on Hugging Face under the Apache 2.0 license.
Mistral AI has unveiled Mistral Vibe 2.0, an upgrade to its terminal-based coding agent powered by the Devstral 2 model. The tool enables developers to control code using natural language, orchestrate multiple files simultaneously, and leverage full codebase context.
New in version 2.0 are custom subagents for specific tasks like testing or code reviews, clarifying questions when instructions are ambiguous instead of automatic decisions, and slash commands for preconfigured workflows.
Mistral Vibe is available through Le Chat Pro ($14.99/month) and Team plans ($24.99/seat). Devstral 2 moves to paid API access – free usage remains available for testing on the Experiment plan. For enterprises, Mistral additionally offers fine-tuning, reinforcement learning, and code modernization services.
Dario Amodei outlines the dangers of powerful AI systems in a new essay. His central demand: Democracies should only use AI in ways that don’t make them more like their autocratic adversaries.
The British government has chosen Anthropic to develop an AI assistant for the GOV.UK website. The Department for Science, Innovation and Technology (DSIT) plans to use the system to help citizens navigate government services and receive personalized guidance. The initial focus will be on jobseekers - helping them with career advice, connecting them to training opportunities, and explaining available programs.
The partnership builds on a declaration of intent signed in February 2025. Anthropic engineers are collaborating directly with UK officials to ensure the government can eventually run the system on its own. Users will keep full control over their data and can opt out at any time.
Anthropic's regional head Pip White said the collaboration demonstrates how AI can be deployed safely for the public good. The company isn't the only US tech firm making moves in the UK - Microsoft, OpenAI, and Nvidia committed over 31 billion pounds to British AI infrastructure last year.
There's one notable difference between Anthropic and some of its competitors: while OpenAI holds a $200 million contract with the US Department of Defense, Anthropic prohibits US law enforcement agencies from using its models for domestic surveillance.
Just last October, Andrej Karpathy dismissed AI agents: “They just don’t work.” Now he says 80 percent of his coding is agent-based and calls it the “biggest change to my basic coding workflow in ~2 decades.” A typically measured voice is joining the agent coding hype, but with some warnings attached.
OpenAI is charging around $60 per 1,000 impressions for its initial ChatGPT ads, far above typical online advertising rates in the low single digits and closer to what advertisers pay for premium TV spots like NFL games, according to The Information. The ads show up below ChatGPT responses in the free and lower-cost "Go" tiers.
OpenAI is also reportedly charging per impression rather than per click. Advertisers typically prefer click-based billing because it's easier to measure results. The decision to go with impressions likely reflects how AI chatbot users behave differently than traditional search users: they click on external links far less often. Perplexity uses the same approach, also charging per 1,000 impressions.
The move toward advertising—at premium prices and in a format that's less appealing to advertisers—suggests OpenAI needs to ramp up revenue quickly to justify its high valuation to investors. Sam Altman previously called ChatGPT advertising a last resort and a potential dystopia.
