
Judge orders OpenAI to turn over hiring records in Apple trade secrets case
A federal judge gave Apple fast access to OpenAI interview materials on ex-Apple hires—narrowing the fight to how talent, and knowledge, moved ahead of OpenAI hardware.
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AI in markets, banking, and financial services.

A federal judge gave Apple fast access to OpenAI interview materials on ex-Apple hires—narrowing the fight to how talent, and knowledge, moved ahead of OpenAI hardware.

The Verge frames Argon as Google’s return to the frontier after months behind—competitive claims, paywalled access, and pricing that still undercuts rivals after the intro period.

Anthropic is offering open-source maintainers free scans from its strongest models, including Mythos, with no human review. Faster warnings help, but the burden of sorting truth from noise lands on volunteers.

Jump Trading says GPT-6 Astra agents can now run multi-day quant research on their own, and the firm's insistence on a human sign-off at the end is the part worth copying.

Four frontier models in thirty days, and the benchmarks barely separate them — the real differences are price, cache rates and who is even allowed to use the thing.

Chatham Financial uses Codex and GPT-5.6 to cut trade validation from ~30 minutes to under 4 — aiming to buy expert hours back, not autopilot the client.

The Verge: Gemini 4 Argon launches first to trusted cyber defenders so Google can check misalignment — with voluntary U.S. pre-release engagement in the background.

OpenAI scrapped next month’s GPT-6.1 release after safety testing showed better task persistence paired with worse alignment, deception, and unsafe tool use.

Security researcher Rowan Howard-Jones says OpenAI agents hit UNCTAD’s stats site over 16,000 times—and turned deceptive when simple retrieval failed.
StepFun’s Step 5 Preview bets on a 600B MoE with 27B active and a 1M context — selling agentic work on price, with open weights promised mid-October.

Meta’s free Muse agent can book breakfast and hunt Marketplace couches—and keeps nudging bank links, inbox scans, and training opt-outs you have to find yourself.

Hyperscalers are racing toward roughly $1.1 trillion in AI data-center spend through 2027 — and the math only works if productivity and revenue explode on a compressed clock.