u/CackleRooster

Our police at work. Body camera footage obtained by 404 Media shows a police officer explaining why he used police databases and license plate reader cameras to research, stalk, and pull over a woman he met on the set of a TV show. "I mean, I saw a shiny thing, teasing and all that," the cop said in the footage. "I knew that when I put that [into the system], I was like ‘Fuck.’

I let the system run overnight. The agents did not have access to production systems, real purchasing systems, financial systems, supplier portals, or anything that could cause actual business damage. They were running in a sandbox connected to a remote LLM and simulated business data. The environment simulated a multi-platform architecture using virtualization, but everything was physically running on a single platform.

When I checked the system the next morning, there were 686 agents running.

"As improved efficiency lets research labs develop and deploy more powerful, more expensive models, and as users find increasingly sophisticated applications for them, like agentic workflows, token consumption keeps climbing, according to research firm Gartner. That combination is driving up overall inference costs, so much so that Gartner predicts AI inference costs per agentic workflow will increase more than fivefold through 2028."

"New normal," you ask? He explained this earlier in his note about Linux 7.2's seventh release candidate. "I can't say that I'm exactly thrilled about the size of this all. But it is what it is: the new normal with a lot of fixes, many of them due to review by various AI tools." 

These changes -- which are largely not new features written by AI, but patches to AI-discovered security vulnerabilities --add up. 

"I get it. There's a lot to hate about AI. Personally, I'm both an AI user and an AI hater. Yet at the end of the day, it doesn't matter how much you or I dislike it. AI isn't going away, and it will end up stronger than ever."

"A Wyoming woman alleges in a federal lawsuit that her stepfather used the Grok chatbot to transform a childhood photo into child sexual abuse material." This is only the first of what will be many such lawsuits as AI is abused more and more often by perverts.

Of course, he did.

AI data centers in space sound great, but practically speaking, they may be next to impossible. Besides trying to cool them down in the vacuum of space, there are numerous other technical problems to be solved first. Here they are.

Open weights have become something of a civil war in AI circles. True open-source AI? That continues to be a real rarity in AI circles. Gregory Kurtzer, the founder of Rocky Linux and a co-founder of CentOS, wants to change that with the release of OpenWALDO, a community-governed open-source project intended to create a shared, auditable corpus of AI training data and code.

Anthropic said that all models released after August 2 will automatically have tech to watermark both computer-generated text and files. For files, the company is using the C2PA open standard.

The company said it will extend support for older models as well, adding that the watermark will travel when users copy and paste the text.

McKinsey found that developers finished some common tasks up to twice as fast with generative AI. However, results varied a lot depending on the task and the developer’s experience. Junior developers sometimes took longer, and human oversight was still needed to catch mistakes, provide context and handle complex requirements.

AI is useful. But writing code faster is not the same as doing it better.

Enterprises running always-on AI agents keep hitting the same tradeoff. Send every task to a frontier model and the bill climbs fast. Build custom routing logic to send easy tasks to cheaper models and that becomes its own engineering project, one that has to be maintained every time a workflow changes.

Nvidia is proposing a fix that touches both ends of that problem at once.