Machine Learning

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Google Releases Mantis: Open-Source AI Security Toolkit That Autonomously Hunts and Patches Software Vulnerabilities

Google Releases Mantis: Open-Source AI Security Toolkit That Autonomously Hunts and Patches Software Vulnerabilities

Jul 14, 2026
GitHub

Google releases Mantis, an open-source AI security toolkit that autonomously hunts, reproduces, and patches software vulnerabilities across hardware, firmware, and ML pipelines using a 15-component pipeline coordinated by a meta-agent, though all findings require manual expert verification before action.

Open-Weight AI Models Surge to 29% of Token Volume as DeepSeek Closes in on Google, But Represent Less Than 4% of Spend

Open-Weight AI Models Surge to 29% of Token Volume as DeepSeek Closes in on Google, But Represent Less Than 4% of Spend

Jul 14, 2026
Vercel

Open-weight AI models surge to 29% of token volume with DeepSeek commanding 22.6% and closing in on Google, yet all open-weight models combined account for under 4% of total spend, as Anthropic, OpenAI, and xAI each dominate separate AI modalities, forcing production apps to route across multiple labs.

OpenAI, Meta, and SpaceX Race to Release Cheaper AI Models as Cost Efficiency Becomes the New Battleground

OpenAI, Meta, and SpaceX Race to Release Cheaper AI Models as Cost Efficiency Becomes the New Battleground

Jul 14, 2026
Bloomberg.com

OpenAI, Meta, and SpaceX are locked in a fierce race to release cheaper, more cost-efficient AI models, with OpenAI's new GPT-5.6 leading the charge by processing tasks with significantly fewer tokens, signaling a major industry shift where affordability now rivals raw performance as the ultimate competitive edge.

Google Cloud Exposes Fatal Flaws in AI Benchmarks: A Single Word Change Can Crash Agent Performance to Zero

Google Cloud Exposes Fatal Flaws in AI Benchmarks: A Single Word Change Can Crash Agent Performance to Zero

Jul 13, 2026
Google Cloud Blog

Google Cloud's new Discovery Bench framework exposes alarming flaws in AI benchmarking, revealing that a single vague word can crash an agent's performance score from perfect to zero, while also uncovering broken ground truth and mislabeled data in widely trusted benchmarks — raising urgent questions about whether the AI industry …

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