Anthropic has secured a preliminary injunction against the Trump administration in a federal court in San Francisco. Judge Rita Lin temporarily blocked President Trump's order banning federal agencies from using Anthropic's AI models, along with the Pentagon's classification of the company as a security risk.
Punishing Anthropic for bringing public scrutiny to the government’s contracting position is classic illegal First Amendment retaliation. [...] Nothing in the governing statute supports the Orwellian notion that an American company may be branded a potential adversary and saboteur of the U.S. for expressing disagreement with the government.
Anthropic leak reveals new model "Claude Mythos" with "dramatically higher scores on tests" than any previous model
Update: The leaked draft blog posts have surfaced online, revealing Anthropic’s plans for a new model class above its existing Opus line. The documents show two possible name candidates, details about a deliberately slow release strategy, and a strong focus on cybersecurity.
Meta's own supervisory body warns that Community Notes are no match for AI disinformation
Meta’s Oversight Board has examined the planned global expansion of Community Notes. Its conclusion: the system is too slow, too thinly staffed, and vulnerable to manipulation, especially given the growing flood of AI-generated disinformation. In certain countries, Meta should not introduce the program at all.
OpenAI is adding plugins to Codex that integrate with popular work tools like Slack, Figma, Notion, Gmail, and Google Drive. The plugins go beyond coding - OpenAI says they also help with planning, research, and coordination. Under the hood, plugins bundle predefined prompt workflows ("skills"), app integrations, and MCP server configurations into installable packages, similar to ChatGPT integrations. They work across the Codex app, command line, and IDE extensions. Developers can build their own and distribute them through local or team-wide "marketplaces." An official curated directory is already live, with self-publishing coming soon.
Apple has secured broad access rights to Google's Gemini models. According to The Information, Apple has full access to Gemini within its own data centers and can use distillation to build smaller models from it. Gemini generates high-quality answers along with its chain of thought, which then serve as training data for a smaller model. In short, Apple is paying for what Chinese AI companies are allegedly doing in secret: tapping a powerful AI model to generate quality training data for a smaller one.
Because Apple has full access, it can build smaller versions that give the same answers as Gemini and arrive at them the same way. These lighter versions need far less processing power and can run directly on Apple devices.
Since Gemini is built for chatbots and enterprise applications, it doesn't always line up with Apple's plans for Siri, according to The Information. But Apple is still building its own models in parallel through its Apple Foundation Models team. New AI features could drop at Apple's developer conference in June.
French AI startup Mistral has releasedVoxtral TTS, its first text-to-speech model. The model supports nine languages—including German, English, French, and Spanish—and is relatively compact at four billion parameters. Mistral says it produces realistic, emotionally expressive speech and can adapt to new voices from as little as three seconds of reference audio. Latency sits at 70 milliseconds for a typical setup with a 10-second speech sample and 500 characters.
In human comparison tests, Voxtral TTS scored higher on naturalness than ElevenLabs Flash v2.5 at a similar response time. That said, ElevenLabs has since shipped a newer model with v3. Voxtral TTS is available through an API at $0.016 per 1,000 characters, can be tested in Mistral Studio, and is also available as an open-weights version on Hugging Face.
Anthropic and OpenAI are both growing fast, but they report revenue very differently, The Information reports. OpenAI's annualized revenue is around $25 billion; Anthropic's is $19 billion. Both calculate this similarly: four weeks of revenue times 13, with Anthropic adding monthly subscriptions times 12.
The key difference is how they handle cloud partners. OpenAI gives 20 percent of revenue to Microsoft and reports the number before that deduction. For Azure cloud sales, it only counts its 20 percent cut. Anthropic does the opposite: It books all cloud sales through AWS, Microsoft, and Google as its own revenue, listing the providers' shares as sales and marketing costs. Anthropic considers itself the primary provider, while OpenAI treats Microsoft as the primary provider for Azure.
Both follow US accounting rules (GAAP), but their numbers are difficult to compare. Anthropic's revenue likely looks higher on paper than it would under the same method. That matters as both companies head toward an IPO.
Google has unveiledGemini 3.1 Flash Live, its best voice and audio AI model yet. It delivers faster responses, more natural conversations, and configurable thinking levels for developers. Google says it's better at detecting pitch and emotions and more reliable in noisy environments. The model now powers live mode in the Gemini app.
According to Artificial Analysis, the model scores 95.9 percent on the Big Bench Audio Benchmark at "High" thinking, second only to Step-Audio R1.1 Realtime (97.0 percent) with a 2.98-second response time. At "Minimal," quality drops to 70.5 percent, but response time falls to 0.96 seconds.
Gemini 3.1 Flash Live scores 95.9 percent on Big Bench Audio at its highest thinking level, just behind Step-Audio R1.1 Realtime. | Image: Artificial Analysis
The model is available through the Gemini Live API, Google AI Studio, Gemini Live, and Search Live in over 200 countries. Pricing matches its Gemini 2.5 predecessor at $0.35 per hour of audio input and $1.40 per hour of audio output, making it one of the cheapest audio AI models available. The slightly better-performing Step Audio model is cheaper on input but pricier on output.
