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Every generation believes it is witnessing the death of taste. The printing press was going to flood the world with trash. The cheap camera was going to destroy photography. The internet was going to drown serious thought in blogs, forums, spam, and noise. Smartphones were going to turn every sacred
The most believable AI coding story right now is not that everyone is suddenly shipping ten times faster. It is that many teams are producing more code than their review systems were designed to absorb. GitLab released new AI accountability research this week with a very familiar shape. Adoption is
The latest hermes-memory-installer update brings a focused capability for teams already running memory-critical workloads: native SLO rollup and an accompanying Grafana dashboard. This isn’t about generic monitoring—it’s about moving from raw metrics to actionable compliance data, directly from the
By Naren Ranjith I had no coding experience six months ago. I'd been reading about AI security — specifically about something called prompt injection, ranked #1 on OWASP's official list of AI security risks. The idea is simple: you craft a message that tricks an AI into ignoring its instructions and
the insight that started this project hit me while i was finishing a bytecode-compiled language i'd written in C i'd spent months building a hand-written lexer, a single-pass Pratt compiler, a stack VM with 35 opcodes, and a mark-and-sweep garbage collector. and right near the end i had this realiza
I built a zero-knowledge secret sharing tool. Text and files are encrypted in the browser with AES-GCM 256 before upload - the server only ever sees ciphertext. A few things I tried to do right: Single-use by default: Durable Objects handle atomic read→decrement→delete with blockConcurrencyWhile, no
The Post-Mortem Nobody Learns From I've sat through hundreds of post-mortems. Most follow the same pattern: something breaks, someone writes a Google Doc, we have a meeting, we list action items, nobody follows up, the same thing happens again in 3 months. Here's how to break the cycle. "Blameless"
AI agents pass tests while producing sloppy thinking. They say "should work" without evidence. They present partial work as complete. They embellish. I built a tiny tool that catches this. It checks any text across four dimensions: Completeness, Consistency, Groundedness, and Honesty. pip install se
TL;DR I built a personal VPN using AWS Lambda MicroVMs. Your traffic exits from AWS. When you disconnect, the MicroVM terminates — zero cost, nothing running. When you reconnect, a fresh MicroVM launches in about 20 seconds. ./vpn.sh start # All Mac traffic now exits from AWS ./vpn.sh stop # Back to
There is a popular misconception that if you do TDD, your design also stays correct. That if the tests pass, quality is guaranteed. In AI-assisted development, this misconception is the kind that quietly accumulates — the more tests you have, the more invisible damage builds up underneath. Here is w
Most poker solvers answer one question very well: given a single hand and a single decision tree, what is the equilibrium strategy? (Yes, there is subgame solving, node locking, and plenty more — but the default frame is still one hand, one equilibrium.) I kept getting stuck on a different one. What
After several years carrying a beta tag, the Kubernetes Security Profiles Operator went 1.0.0 on June 26, freezing eight CRD APIs and clearing a third-party security audit with no criticals. For cluster admins, the practical effect is small but consequential: the syscall and LSM profile a workload r
Mesh came out of stealth in February with a $50 million Series A.
After a rollercoaster negotiation process with the Trump administration that dragged on for two weeks, Anthropic's Mythos 5 is finally back in action - at least, somewhat, for a select group of organizations, according to a letter from the government to Anthropic that was viewed by The Verge. Fable
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OpenAI Group PBC today introduced GPT-5.6, a new series of large language models that it says can outperform Claude Mythos 5 across certain coding tasks. The most advanced algorithm in the lineup is known as Sol. It’s available alongside a midrange option called Terra and an entry-level model dubbed
Space agency selects 37 companies as partners to develop technologies that will support moon bases and Mars exploration. Read More
Long-horizon reasoning exposes a core weakness in AI agents: context windows fill up fast, and retrieval pipelines return noise instead of signal. To solve this, researchers at the National University of Singapore developed MRAgent, a framework that abandons the static "retrieve-then-reason" approac
We're tracking the items ZDNET readers have actually purchased during Prime Day sales so far today, and these deals are still here for a few more hours.
Half-million strong military will train on drones as “universal combat tool.”
