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OpenAI released ChatGPT 5.6 after a staggered rollout and U.S. cybersecurity review, even as OpenAI and Google face scrutiny for selling AI models to blacklisted Chinese groups through Singapore subsidiaries.
Meta launched Muse Spark 1.1 with aggressive pricing for coding and agentic workflows, while Anthropic introduced Reflection to help users track their Claude habits over time and SpaceXAI released Grok 4.5 as competition at the top of the model market tightens.
The infrastructure race is also heating up. Meta is pushing deeper into in-house AI chips through its Iris program, Nvidia got a fresh boost after Grok 4.5 was trained on tens of thousands of GB300 chips, and SK Hynix made a record U.S. listing as investors pile into AI memory demand.
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Headlines
OpenAI releases ChatGPT 5.6 after a staggered rollout and U.S. cybersecurity review. (The Guardian)
OpenAI and Google sell AI models to blacklisted Chinese groups through Singapore subsidiaries. (Financial Times)
Meta launches Muse Spark 1.1 with aggressive pricing for AI coding and agentic workflows. (Business Insider)
Meta pushes further into in-house AI chips with its Iris program to reduce reliance on Nvidia. (New York Post)
Anthropic introduces Reflection, a Claude usage-review tool for tracking AI habits over time. (Axios)
SpaceXAI launches Grok 4.5, narrowing the gap with OpenAI, Anthropic, and Google. (Investor’s Business Daily)
Nvidia gets a boost from Grok 4.5, which was trained on tens of thousands of GB300 chips. (Barron’s)
OpenAI says AI cost reduction has become the dominant topic among tech leaders at Sun Valley. (Business Insider)
SK Hynix makes a record U.S. listing as investors pile into AI memory demand. (Financial Times)
Monumint pivots from OmniAI into banking-focused AI agents after raising $3.2 million. (Business Insider)
You've seen the AI demos. Viktor does it without you watching.
The AI tool you tried last quarter waited for a prompt, hallucinated a number, then asked if you'd like a summary.
Viktor opened a PR at 2am, rebased it against main, ran your test suite, and posted a note in #eng: "Two flaky tests in payments service, both pre-existing. Recommended merging after fixing them." Then drafted the customer reply for the support ticket the bug created.
That's 619K autonomous actions per day across 20,000+ teams. Not chat replies. Real work shipped to GitHub, Stripe, Linear, Notion, and 3,000+ other tools, from inside Slack and Microsoft Teams.
You don't supervise him any more than you supervise a senior engineer.
SOC 2 certified. Your data never trains models.
"It's what you probably originally thought AI was going to be when you first heard of it in sci-fi movies." Tyler, CEO.
Prediction Markets
