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Read full article about: US government now has pre-release access to AI models from five major labs for national security testing

The Center for AI Standards and Innovation (CAISI), part of the US Department of Commerce, has signed new agreements with Google Deepmind, Microsoft, and xAI. The goal is to test advanced AI models for national security risks before they become publicly available.

"Independent, rigorous measurement science is essential to understanding frontier AI and its national security implications," said CAISI Director Chris Fall. The agency has already run more than 40 evaluations, some on unreleased models. AI labs also provide versions with reduced safety guardrails for testing.

The new deals build on earlier agreements with Anthropic and OpenAI and allow testing in classified environments. Those original agreements already covered joint safety assessments and research into risk mitigation. The expansion comes as AI models rapidly improve at finding and exploiting security vulnerabilities and the tech race with China intensifies.

ChatGPT update rolls out GPT-5.5 Instant with fewer hallucinations and more personalized answers

OpenAI is swapping out ChatGPT’s default model for GPT-5.5 Instant. In internal testing, the update produced 52.5 percent fewer hallucinated claims on high-risk topics like medicine and law. A new feature called “memory sources” lets users see which stored context shaped a given response. The model is rolling out to all ChatGPT users right away, though personalization based on past chats, files, and Gmail launches first for Plus and Pro users on the web.

OpenAI's first hardware play might be a phone that replaces your app grid with an agent task stream

OpenAI is reportedly planning its own AI smartphone, with chips from MediaTek and Qualcomm and manufacturing by Luxshare. According to analyst Ming-Chi Kuo, mass production could start as early as the first half of 2027, with up to 30 million devices shipped in the first two years. The form factor choice is also an admission that more experimental AI hardware isn’t ready for the mainstream yet.

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Read full article about: Meta now scans photos for bone structure and body size to flag minors on Instagram and Facebook

Meta is leaning harder on AI to identify minors on Instagram and Facebook and automatically place them into age-appropriate safety settings. The company is rolling out AI-powered image analysis that estimates a user's age from visual cues like body size and bone structure. Meta stresses that this isn't facial recognition.

The AI also scans profiles for telltale signs like birthday party posts or mentions of a school grade. Accounts flagged as likely belonging to minors get switched off by default. Meta is now expanding the technology, which automatically converts these users into teen accounts, to the EU, Brazil, and Facebook in the US.

The move fits a broader trend. Platforms are under pressure to verify user ages more strictly and apply stronger default protections for minors. Meta is responding to the rollout of its own youth safety features, growing pressure from lawmakers and regulators, and the open question of who should actually handle age verification. At the same time, the company is pushing for that responsibility to fall on the app stores.

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Read full article about: SAP's acquisition spree signals the enterprise giant is serious about becoming an AI-ready data platform

SAP is acquiring open data lakehouse provider Dremio and AI company Prior Labs to expand its data platform. With Dremio, SAP's Business Data Cloud will combine SAP and non-SAP data using the open Apache Iceberg format. SAP CTO Philipp Herzig said the move will help customers go from fragmented data to AI-ready intelligence on an open platform. SAP had already acquired data management specialist Reltio earlier.

SAP is also investing one billion euros in Prior Labs over four years to advance so-called tabular foundation models, which aim to make structured enterprise data more useful. The startup sees the deal as the start of a new phase that will turn Prior Labs into the "next frontier AI lab."

The acquisitions are part of the German software giant's effort to catch up in AI. Early last year, SAP announced a strategic partnership with Databricks.

Read full article about: Amazon brings agentic fine-tuning to SageMaker with support for Llama, Qwen, Deepseek, and Nova

Amazon SageMaker AI now includes an AI agent designed to help developers customize language models. SageMaker AI is Amazon's cloud platform for building, training, and deploying machine learning models.

Instead of wrestling with different APIs and data formats, developers can now describe their use case in plain language. The agent then recommends the right training method, prepares the data, kicks off training, and delivers the finished code as Jupyter notebooks.

Amazon's Kiro AI agent comes preinstalled in the development environment, but developers can also use Claude Code or other agents. Nine prebuilt "skills" handle the workflow, from checking the dataset to deploying the finished model. The agent supports model families like Llama, Qwen, Deepseek, and Amazon's own Nova. All generated code is editable and reusable.

Comment Source: AWS
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White House briefed Anthropic, Google, and OpenAI on plans for a government AI review process

After a year of deregulation, the White House is now discussing an executive order that could subject new AI models to government review before they are released. The trigger is said to be Anthropic’s “Mythos” model.