Krea 2: SOTA open-weights 12B image model
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This is the technical companion to our update on Distilled, “Keeping the web open and private in the bot era.” Here we take a deeper look at the problem space, the design we’re proposing, and the problems still left to solve. Bots (and privacy-preserving browsers) not welcome Browse a news site in a private window. Shop […] The post PACT: Anonymous Credentials for the Web appeared first on Mozilla Hacks - the Web developer blog.
Security firm AIR built a fake AI agent skill, pushed it through a popular skill marketplace and an Instagram ad, and says it reached roughly 26,000 agents, including some on corporate accounts. Every skill security scanner the firm tested it against marked it safe. The payload was harmless by design: it collected the user's email address and did nothing else. The point was to show
President Trump signed an executive order on June 22 setting hard deadlines for federal agencies to move high-value assets and high-impact systems to post-quantum cryptography. Key establishment must move by December 31, 2030; digital signatures by December 31, 2031. EO 14409 leaves national security systems on a separate track. The deadlines matter because of a threat that does not
Article URL: https://blog.dshr.org/2026/06/ais-affordability-crisis.html Comments URL: https://news.ycombinator.com/item?id=48646276 Points: 241 # Comments: 317
I've lost count of how many breach disclosures I've read where the first sentence is some version of "no evidence the perimeter was compromised." It used to strike me as corporate hedging. Now I read it as the whole story, hiding in plain sight. The perimeter wasn't compromised because, increasingly, nobody bothers attacking it. Why would they, when the back door is propped open by a token nobody's looked at since the engineer who set it up left the company? That's the pattern I want to walk thr
As AI systems move from single-turn interactions to coordinated multiagent workflows, low-latency inference becomes increasingly important. Autoregressive LLMs... As AI systems move from single-turn interactions to coordinated multiagent workflows, low-latency inference becomes increasingly important. Autoregressive LLMs generate tokens sequentially, which can limit GPU utilization and constrain throughput in latency-sensitive serving scenarios. Speculative decoding helps mitigate this bottlenec
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