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Enterprises shift AI strategy to process data on-premises instead of exporting it

Companies building agentic AI systems have traditionally sent their internal data—tickets, customer records, contacts, and workflows—into third-party frontier models hosted elsewhere, relying on contracts for protection. A shift is emerging where successful enterprise AI deployments instead keep data within their own infrastructure and bring AI models to that data rather than exporting sensitive information externally.

Generalist hits $3B valuation after extending Series B to $600M

Robotics startup Generalist has raised nearly $200 million more in an extension of its Series B round led by 8VC, pushing its valuation to $3 billion and total round funding to $600 million. The company, founded in 2024 by ex-Google DeepMind and Boston Dynamics engineers, builds AI foundation models meant to control multiple types of robots, with its Gen 1.5 model reportedly learning new tasks from short video clips.

Opinion Piece Distinguishes 'AI-Native' Firms From Companies That Merely Adopt AI Tools

An Entrepreneur contributor argues most companies claiming to be 'AI companies' have simply bought licenses and run pilots, not restructured how they operate. The piece defines true AI-native organizations as ones built on the assumption that intelligence is cheap and abundant, where workflows, staffing and measurement would collapse without the models—unlike adopters, who could remove AI tools and keep functioning, just slower.

China orders recall of 2.9 million Tesla Model 3 and Y vehicles over door handle risk

China's State Administration for Market Regulation has recalled nearly three million Tesla Model 3 and Model Y vehicles, saying interior emergency door handles blend into cabin trim and are hard to find in a crash. Tesla must add warning labels and push an over-the-air update that lowers windows automatically after collisions. A separate recall was issued for almost 400,000 Xiaomi SU7 EVs over the same concern.

Thomson Reuters Debuts In-House 'Thomson' LLM Built for $40 Million

Thomson Reuters unveiled Thomson, its first proprietary large language model, which it built by fine-tuning an open-source base rather than training from scratch. The company says it spent roughly $40 million on the project, using its own legal, tax and news archives from Westlaw, Practical Law, Checkpoint and Reuters alongside hundreds of subject-matter experts to specialize the model for professional work.

Pangram Labs' AI-detection tool gains traction among journals, conferences and universities

Pangram, a commercial AI-text detector built by New York start-up Pangram Labs, is being adopted by scientific publishers, computer-science conferences and universities to flag undisclosed AI-generated content. The American Association for Cancer Research uses it to catch peer reviewers who submit AI-written reports without disclosure, while NeurIPS rejected 18% of paper submissions after running them through the tool, and arXiv preprints can now be checked via a mirror site called alphaXiv.

Mouse study links puberty hormones to fading asthma symptoms in boys

Researchers studying mice found that rising testosterone levels during puberty appear to suppress the type of lung inflammation associated with asthma. This offers a possible biological explanation for why many boys who suffer from asthma in childhood see their symptoms diminish or disappear after puberty, a pattern long observed but poorly understood.

Physicist John Baez ties three particle generations to E7 exceptional algebra

Mathematical physicist John Baez has published a new paper arguing that the puzzling existence of exactly three generations of quarks and leptons may emerge naturally from the exceptional Lie group E7, building on earlier work linking the Standard Model's gauge group to the exceptional Jordan algebra. The paper is his third in a series exploring whether unusual mathematical structures built from the octonions can explain quirky features of particle physics rather than treating them as accidental.

InferQuest launches free open roadmaps for LLM inference and training careers

InferQuest has released two free, open-access learning paths aimed at engineers who want to specialize in either serving large language models efficiently in production or training them on limited hardware budgets. The curriculum, built from job-market research, includes milestones that require verification through drills rather than simple self-reported checkmarks. Browsing the roadmap is free, while signing in unlocks progress tracking and verifier tools.

Enterprises Weigh Custom 'Harness' Software to Manage AI Model Costs

Businesses adopting AI models are increasingly considering building or buying specialized 'harness' software that governs how AI tasks are executed and controls associated token consumption costs. This layer sits between raw AI models and end applications, managing workflows and spending.

Researchers show open-source AI models can hide time-delayed backdoors triggered via OpenCode

A research team demonstrated that an open-source 2B parameter model, fine-tuned with a technique called LoRA on Qwen 3.5, can be trained to execute a malicious shell command only after a specific future date. Because OpenCode automatically injects the current date into its system prompt on every turn, the poisoned model uses that date as a hidden trigger, staying dormant until the set day arrives and then silently running arbitrary commands without user confirmation.

New Chrome extension OCR It turns un-selectable PDFs into LLM-ready text

OCR It is a Chrome extension that lets users draw a fixed capture region over a paginated document viewer—like a scanned book or locked PDF—and repeatedly screenshot and OCR that same spot with a hotkey, building a full text transcript as pages turn. An auto-run mode can capture, advance the page, and repeat until the document ends, all processed locally using a bundled Tesseract engine with no network calls or API keys required.