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Matthias Bastian

Matthias is the co-founder and publisher of THE DECODER, exploring how AI is fundamentally changing the relationship between humans and computers.
Read full article about: Mark Zuckerberg still seeks AI talent as Meta hires Andrew Tulloch from Thinking Machines Lab

Mark Zuckerberg is still on his AI talent shopping tour. Andrew Tulloch, co-founder of AI startup Thinking Machines Lab, is leaving the company to join Meta, the Wall Street Journal reports. Tulloch informed colleagues of his decision on Friday. A spokesperson for Thinking Machines confirmed the move and said it was for personal reasons. Meta reportedly approached Tulloch after its attempt to acquire the startup failed. The offer to Tulloch was said to be worth up to $1.5 billion over six years, though Meta previously called that figure "ridiculous."

Thinking Machines was founded in late 2024 by former OpenAI CTO Mira Murati and recently released a platform for fine-tuning open AI models.

Read full article about: OpenAI could face a billion-dollar fine over claims it used pirated books in AI training

OpenAI could soon face a billion-dollar fine. Authors and publishers suing the company for copyright infringement have uncovered internal messages and emails about the deletion of a dataset containing pirated books. The plaintiffs now want access to communications between OpenAI and its lawyers, arguing these could show the company acted intentionally. Under US law, fines can reach up to $150,000 per work. The New York court is also considering whether OpenAI waived attorney-client privilege through its own statements. There is also an allegation that evidence was intentionally destroyed.

A similar lawsuit against Anthropic ended in August with a $1.5 billion settlement over the use of pirated books for AI training. This may be one reason both companies have reportedly had trouble securing insurance.

Read full article about: Google launches Gemini Enterprise as a response to Microsoft Copilot and ChatGPT Enterprise

Google introduces Gemini Enterprise, its answer to Microsoft Copilot and ChatGPT Enterprise. The new platform gives companies a central hub to create, manage, and deploy AI agents across existing workflows—no coding required. Employees can chat with Gemini to look up information, analyze data, or automate routine tasks. Out of the box, Google offers its own agents like Deep Research and Code Assist, but companies can also bring in their own or third-party agents.

Gemini Enterprise connects with data from Google Workspace, Microsoft 365, Salesforce, SAP, and BigQuery. There are two plans: "Gemini Business," starting at $21 per user per month for smaller teams, and "Gemini Enterprise Standard/Plus," starting at $30 with extra features for larger organizations.

Read full article about: Reasoning models like Claude Sonnet 4.5 are getting better at spotting security flaws

Anthropic sees growing potential for language models in cybersecurity. The company cites results from the CyberGym leaderboard: Claude Sonnet 4 uncovers new software vulnerabilities about 2 percent of the time, while Sonnet 4.5 increases that rate to 5 percent. In repeated tests, Sonnet 4.5 finds new vulnerabilities in more than a third of projects.

Image: Anthropic

In a recent DARPA AI Cyber Challenge, Anthropic notes that teams used large language models like Claude "to build 'cyber reasoning systems' that examined millions of lines of code for vulnerabilities to patch." Anthropic calls this a possible "inflection point for AI’s impact on cybersecurity."