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Cybersecurity company ReliaQuest has confirmed that one of its employees was targeted in a social engineering attack after hackers impersonated a member of the security team. [...]
Article URL: https://torrentfreak.com/annas-archive-owes-340-million-lost-several-domains-but-its-still-online/ Comments URL: https://news.ycombinator.com/item?id=49420902 Points: 290 # Comments: 183
The massive growth of generative AI has fundamentally altered data center design. As distributed model training scales to span hundreds of thousands of GPUs,... The massive growth of generative AI has fundamentally altered data center design. As distributed model training scales to span hundreds of thousands of GPUs, the scale-out network connecting these nodes has emerged as a first-order performance bottleneck. For decades, traditional off-the-shelf Ethernet has been the undisputed king of ent
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ESPN is hiking the price of its subscription on September 17th, a change that will also impact its bundles with Disney Plus. In a support page spotted earlier by Sports Media Watch, ESPN says its ad-supported Select membership will cost $13.99 instead of $12.99 / month, while its Unlimited plan will rise to $31.99 from $29.99 / month. The annual ESPN Select plan is also going to $139.99 from $129.99 / year, and the annual Unlimited tier is increasing to $319.99 from $299.99 / year. Meanwhile, Di
An advanced, multilingual malware family brings back a trick from yesteryear — screen hijacking — for effective password theft, along with a slew of novel features.
AI agents have expanded inference from single-turn interactions into multi-step workflows that reason, invoke tools, coordinate subagents, and carry growing... AI agents have expanded inference from single-turn interactions into multi-step workflows that reason, invoke tools, coordinate subagents, and carry growing context from one turn to the next. The scale of this shift is now visible in raw consumption: across 100 trillion tokens of real-world usage, OpenRouter’s State of AI report found tha
I've spent the better part of two years watching teams ship agentic AI systems, and a pattern keeps repeating. Two engineers read the same LangChain docs, attend the same conference talks, and build systems that look identical in a demo. Six months later, one system is handling thousands of requests a day with predictable behavior. The other gets quietly replaced by a simpler rules engine after it embarrassed someone in front of a customer. The gap between those two outcomes has almost nothing t
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