TECH NEWS
Future phishing campaigns may no longer involve a detectable physical web page. Barracuda has analyzed a new type of phishing campaign that adds both stealth and flexibility to traditional phishing. Rather than standard social engineering to persuade a target to visit a static compromised web page, this campaign generates a
TECH NEWS
Every security leader has lived some version of this incident. A researcher, a scanner, or a well-meaning stranger finds one of your API keys sitting in a public repository. Now the clock is running, but instead of a kill switch, what follows is a scavenger hunt. Which company issued this
TECH NEWS
We spent about a month building a product for a client. They were with us the whole way, testing as we built, sending feedback, signing off on each piece as it landed. Everything you could point to said we were aligned. Then, a few days before launch, they told us
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My experiments with GLM-5.3-flash, and the difference between following instructions and knowing what to question. I had this crazy idea - what if I can find such algorithm which can find all the bugs in any software, literally ALL. And while going though it (quite successfully actually!), it helped
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AI gives us enough engineering capacity to stop cutting corners and start building software that stays correct. So much energy in my life was spent making compromises between quality and speed, or pushing technical dev priorities. Constantly growing backlog, and guilt for the choices I had to do. What if
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Your AI Wrote the README. Now Get Out the Red Pen. Ask AI to "write a README for this repository," and you shall receive. If you're careful, you might give it a template. Maybe you've baked documentation requirements into a spec-driven workflow. Either way,
TECH NEWS
Most agent-debugging sessions begin with the same question: Why did the agent do that? Why did it send a notification? Why did it suppress one? Why did it retry the same tool? Why did it act on stale data? Why did a high-confidence prediction turn out to be wrong? Traditional
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This article describes a critical SQL Server Failover Cluster incident caused by a default “Add all eligible storage” setting during node addition and subsequent run validate cluster tool, which led to a DB crash and failover failure, and outlines a detailed step-by-step recovery process and preventive method to avoid mission
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ValenceSphere is an experimental "concept-first" AI reasoning system, using triadic questioner (Socrates), answerer (Plato), and adjudicator for data auditing and verification to give AI models greater structure and the beginnings of critical thinking. It is structured as a two-stage concept-learning and factual-auditing system. Stage 1 builds structured knowledge
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AI does not need to endorse empire to reproduce a world in which some actors govern, sanction, stabilize, and intervene while others appear mainly as crises, risks, dependencies, or populations to be managed TL;DR Most discussions about political bias in artificial intelligence focus on opinions: which country a model
TECH NEWS
Part 2 of 6: Building a production retrieval layer, one failure at a time. TL;DR: Same 5,000 documents. Same embedding model. Same top-5 retrieval, same prompt, same everything downstream. I changed only the ingestion pipeline — structure-aware chunking, provenance on every chunk, and explicit supersession — and the parental leave
TECH NEWS
Knowledge graphs quietly power a surprising amount of the tech you touch every day — search results, recommendations, fraud alerts, and increasingly the AI assistants we talk to. Yet the core idea is refreshingly simple. Let’s walk through it end to end: what a knowledge graph is, where you store
