The agency that oversees prediction markets has investigated Polymarket trades on Biden pardons and the Iran war—and even more potential insider trading at Google, documents obtained by WIRED show.

Trump dismisses AI extinction warnings and says beating China is the priority as researchers and lawmakers call for stronger safeguards on advanced systems.

The post Trump on AI Extinction: Beating China Is the Bigger Concern appeared first on TechRepublic.

See what you missed in Daily Tech Insider from Sept. 7–11.

The post AI Agents, Foldables, Cyberthreats, and Chip Deals Define This Week in Tech appeared first on TechRepublic.

California creates standards and a registry for independent AI assessors. Learn what the new framework could mean for businesses and IT leaders.

The post California Establishes Framework for Independent AI Assessors appeared first on TechRepublic.

ENISA has gained access to Anthropic’s Mythos 5, giving EU officials a chance to independently test the cyber AI after months of negotiations.

The post EU Gets Access to Anthropic Cyber AI — But Not Its Newest Model appeared first on TechRepublic.

Thailand’s Cloud Security Standard took effect Sept. 10, 2026, raising compliance requirements for government, CII organizations, and cloud providers.

The post Thailand’s Cloud Security Standard Is Now in Force: What Providers and CII Operators Must Review appeared first on TechRepublic.

Thailand has asked 49 data centers under construction to pause voluntarily while more than 117 pending projects face an approval freeze.

The post Thailand Asks 49 Data Centers to Pause as New Power and Water Rules Loom appeared first on TechRepublic.

On Tuesday, Google announced AlphaGenome Atlas, a resource that attempts to predict the consequences of every possible single-base variant in the human genome. The human genome is about 3 billion bases long, so trying the other three DNA bases that don't appear in our reference genome means sending a total of 9 billion bases through AlphaGenome software.

AlphaGenome is designed to identify potential functions of non-coding DNA, which does not encode proteins but makes up the vast majority of the human genome. Some of this non-coding DNA is essential for controlling the activity of the protein-coding portion—it tells the cell where and when to make messenger RNAs, how to process them into mature protein-coding forms, and so on. But much of it appears to be little more than the remains of viruses and other molecular parasites.

Being able to identify the functional portion is very useful, as is having all the analysis done by a single software package. But until biologists start to use it heavily (assuming they do), it won't be clear what AlphaGenome offers beyond what we could have gotten out of its training data.

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