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Yann LeCun, Meta's outgoing AI scientist, is launching a new startup built around "world models" - systems designed to understand physical reality rather than just generate text. LeCun argues that Silicon Valley is currently "hypnotized" by generative AI, and he intends to build his project with a heavy reliance on European talent. According to Sifted, the company will operate globally and maintain a hub in Paris.

LeCun contends that today's language models lack any real grasp of how the world works, and that simply scaling them up won't lead to human-level intelligence. His project, called AMI (Advanced Machine Intelligence), relies on a new architecture that moves away from generative methods entirely.

"Some people claim we can scale up current technology and get to general intelligence [...] I think that's bullshit, if you'll pardon my French."

Meta is signing on as a partner because Mark Zuckerberg supports the initiative, though LeCun notes that potential applications extend well beyond Meta's specific interests. He plans to leave the tech giant at the end of the year to lead the independent organization.

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Aikido Security warns that plugging AI agents into GitHub and GitLab workflows opens up a serious vulnerability in enterprise environments. The issue hits widely used tools like Gemini CLI, Claude Code, OpenAI Codex, and GitHub AI Inference.

According to the security firm, attackers can slip hidden instructions into issues, pull requests, or commits. That text then flows straight into model prompts, where the AI interprets it as a command instead of harmless content. Because these agents often have permission to run shell commands or modify repos, a single prompt injection can leak secrets or alter workflows. Aikido says tests showed this risk affected at least five Fortune 500 companies.

Aikido

Google patched the issue in its Gemini CLI repo within four days, according to the report. To help organizations secure their pipelines, Aikido published open search rules and recommends limiting the tools available to AI agents, validating all inputs, and avoiding the direct execution of AI outputs.

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Google Cloud has signed a multi-year partnership with the AI coding startup Replit as it looks to strengthen its position against competitors like Anthropic and Cursor. Under the agreement, Replit will deepen its use of Google Cloud services and offer Google models directly on its platform.

Replit has been on a remarkable growth streak, reportedly boosting its annual revenue from 2.8 million dollars to 150 million dollars in less than a year. Google is leaning on the momentum of its new Gemini 3 model as part of this push.

Its biggest rival in the coding-assistant space is Anthropic, whose Claude Code tool hit an annualized revenue of 1 billion dollars in November. Developers also use Claude models widely through other tools like Cursor. Anthropic recently signed a partnership with Snowflake and even acquired the Bun JavaScript runtime to bolster Claude Code.

Despite the competition, Anthropic is also a Google Cloud customer. In October, the company announced plans to rent up to one million TPUs from Google by 2026.

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Meta is turning its AI assistant into a real-time news hub, pulling in content from major media outlets including CNN, Fox News, Le Monde Group, People, USA Today, The Daily Caller, and The Washington Examiner. When users ask news-related questions, the assistant will surface information and direct links to articles on these partner sites. Researchers have noted a tradeoff with these kinds of tools. AI search engines tend to lower click-through rates for news outlets, and they often answer news questions with incorrect information rather than leaving gaps.

Meta says the goal is to reach new audiences for its media partners, and the company plans to bring additional publishers on board. Other AI search providers like OpenAI, Google, and Perplexity have already signed similar deals.

 

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Google AI just released an updated "Deep Think" mode for Google AI Ultra subscribers using the Gemini app. Built on the Gemini 3 model, the feature aims to boost the AI's reasoning skills. Google says the mode uses "advanced parallel thinking" to investigate multiple hypotheses at the same time, making these models better suited for complex scientific tasks than for mundane office work.

The technology "builds on" on the Deep Think variant of Gemini 2.5, which recently posted impressive scores at the International Mathematical Olympiad and a major programming competition. To try it out, subscribers select "Deep Think" in the app's input field and choose the "Gemini 3 Pro" model from the menu. The Ultra subscription currently costs $250 per month for the standard plan.

The release looks like a direct response to DeepsSeek's new open-source math model and an upcoming system from OpenAI. Reports suggest OpenAI plans to launch its new model next week, with performance expected to outperform Gemini 3.

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