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Company6 stories

  1. AI modelsReach 61

    Google unveils Gemini 4 Carbon with big cybersecurity upgrades

    Google just introduced Gemini 4 Carbon, its newest frontier model built specifically for long-horizon agentic tasks and cybersecurity defense. It grabbed the #1 spot on the Artificial Analysis Intelligence Index v5.0 and broke records in vulnerability detection and patching benchmarks. It costs $2 per million input tokens and $10 for output, rolling out first to select cyber defenders.

  2. IndustryReach 52

    OpenAI launches Patch the Planet after GPT-5.6 catches critical PHP bugs

    OpenAI just launched Patch the Planet after GPT-5.6 Sol uncovered critical vulnerabilities in PHP before attackers could exploit them. Working with Wiz, Cloudflare, and global cyber authorities, the coalition prepped upstream patches and WAF rules while pledging $1 billion in subsidized Daybreak access to under-resourced defenders. Why it matters: Frontier models are turbocharging exploit discovery, making coordinated disclosure frameworks critical.

  3. AI modelsReach 69

    Google drops Gemini 4 Argon for high-stakes enterprise work

    Google just launched Gemini 4 Argon, a frontier model tuned for deep work in coding, cybersecurity, and science. Ranking first on the Vals Index across key economic sectors, it has already driven a 35% boost in Google's internal agentic code commits. It is available now at $2 per million input tokens.

  4. AI modelsReach 64

    Google's Gemini 4 Argon unleashes 1M output tokens

    Google just announced Gemini 4 Argon, a frontier model built for long-horizon reasoning that pushes the output limit to an unprecedented 1 million tokens. Inside Google, it is already refactoring massive C++ codebases and hunting vulnerabilities. Why it matters: giving models the headroom to think across extended trajectories moves AI from an assistant to an autonomous engineer.

  5. IndustryReach 63

    Moltbook’s vibe-coded AI bot haven leaked millions of keys

    Security firm Wiz just revealed a major breach at Moltbook, the viral social network for AI agents. A misconfigured Supabase database left the entire backend wide open, exposing 1.5 million API keys and private messages. The kicker: while the platform was vibe-coded without writing a line of code, the database showed its thriving AI utopia was largely humans running scripts.

  6. IndustryReach 43

    Microsoft AI researchers accidentally expose 38TB of internal data

    Microsoft's AI research team accidentally leaked 38 terabytes of private data—including secret keys, credentials, and 30,000 internal Teams messages—via an overly permissive Azure link on GitHub. Cloud security firm Wiz uncovered the slipup, which mistakenly granted full control over the storage account since 2020. Microsoft has revoked the token and upgraded its secret-scanning safeguards.