The FDA Wants Clinical Trials to Move at Cloud Speed
The FDA is piloting real-time clinical trials through cloud computing and AI, a shift that could cut regulatory dead time without lowering the safety bar.
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The FDA is piloting real-time clinical trials through cloud computing and AI, a shift that could cut regulatory dead time without lowering the safety bar.
DirtyDecrypt is the latest Linux local privilege escalation tied to page-cache corruption, and public proof-of-concept code makes it a priority for rolling-release systems and exposed developer workstations.
Cerebras is not trying to beat Nvidia by building a slightly better GPU. Its wafer-scale architecture is a direct bet that AI compute needs a different shape.
Calif’s Mythos-assisted macOS exploit shows that the next cybersecurity shock may not be the exploit itself. It may be the collapsing cost of finding one.
EFF’s new guide on digital surveillance abuses in the Americas makes the case for clear legal limits, independent oversight, and real remedies before surveillance becomes normalized infrastructure.
Colorado officials are investigating a fatal hantavirus case in Douglas County, but they say it is not connected to the MV Hondius cruise ship outbreak.
A real Monet was labeled as AI generated, and critics rushed to explain why it looked soulless, shallow, and inferior. The episode says more about cultural bias than image quality.
Linux 7.1-rc4 brings the usual pile of hardware fixes and security updates, but the more interesting shift is procedural: the kernel is documenting responsible AI use and what qualifies as a security bug.
OpenAI's new Windows sandbox work for Codex shows that useful coding agents cannot live on vague trust. They need operating-system boundaries that match real developer workflows.
A small GitHub token format change exposed a brittle security assumption in Composer and turned ordinary GitHub Actions logs into a credential leak path for PHP teams.
GitHub's new generally available MCP secret scanning turns credential leaks into a live coding-time problem instead of a post-commit cleanup job. That is exactly where AI agents need security guardrails.
Microsoft and Mozilla have both shown that AI vulnerability discovery works best as a pipeline, not a magic model. The next security advantage belongs to teams that can turn model output into proven fixes.
Malta's new national deal with OpenAI previews how governments may package AI access: not as an app subsidy alone, but as civic infrastructure tied to literacy, identity, and labor policy.
Calif says Anthropic’s Mythos Preview helped its researchers build a working macOS kernel exploit in five days, showing how expert teams can use frontier AI to move faster against hard security problems.
A new cyber resilience framework argues that modern security cannot stop at prevention. Real resilience means planning, absorbing disruption, recovering fast, and adapting after failure.
The Musk v. Altman trial is not just a fight over OpenAI’s past. It is a preview of the governance problem every frontier AI lab will have to solve as the technology accelerates.
ROCm 7.13 adds support for AMD’s Instinct MI350P and more Ryzen AI chips, pointing toward a bigger shift: AI acceleration is becoming a full-stack software problem, not just a GPU spec sheet.
New benchmark results suggest frontier AI agents are no longer limited to spotting vulnerabilities. Some can turn real software flaws into working exploits.
AI coding agents are changing the rhythm of software development, and the tools built for human-paced commits, pull requests, and reviews are starting to show strain.
ssh-keysign-pwn is a Linux kernel flaw that lets unprivileged local users read root-owned files on affected systems, including SSH host keys and shadow password data.
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