846 stories
Hello World, Goodbye PHP The first post on this blog is dated 1999 and says, in its entirety, <?php echo "Hello World" ?>. This month, twenty seven years later, the blog finally stopped running PHP. That is a very long hello (and an even longer goodbye).
Only Gemini Failed My False-Premise Benchmark — 7 Models Tested The itch I kept noticing a specific failure mode: when a question embeds a false assumption, most models correct the user cleanly — but some play along and confabulate detailed answers that fit the wrong premise.
Have you ever tried walking around your room with your eyes closed? Now imagine relying on a cloud AI model to guide you. If it takes 2 seconds to process a video frame and tell you there's a wall ahead... you've already walked into it.
OpenAI DevDay 2026 ran on 29 September at Fort Mason in San Francisco. Sam Altman opened at 10:00 AM Pacific, with Romain Huet, Tejal Patwardhan and Holly Li following him on stage.
Every instrumentation layer is an interrogation. You add a trace, and the trace changes the testimony. When we wrap an agent's reasoning chain with logging, we are not passive observers. We are inserting variables into the system's decision surface.
Ever just sit back with a cup of coffee, pondering the rapid evolution of AI? I certainly have. Just the other day, I found myself knee-deep in the latest buzz about GPT-6.1 Sol, dubbed “Near-Astra intelligence.” Now, if you’re anything like me, you’re probably asking, “What’s the deal with this…
Anthropic has launched the Anthropic Economic Index Survey, an ongoing monthly research program intended to capture how AI is changing work, productivity, hiring and economic expectations from the perspective of people using AI.
Originally published at aideazz.xyz — cross-posted here with canonical link. My AI job hunter agent, VibeJobHunterAIPA_AIMCF, was discarding 610 Latin American jobs from Torre. This wasn't a filtering error; it was a fundamental misconfiguration in how the agent interacted with the source.
I Built a Sales Assistant That Actually Remembers Customers What if your sales assistant could write the perfect email… …but had no idea who the customer was? That bothered me while building AI sales assistants. Today, an LLM can write a convincing email in seconds. It can summarize a meeting.
You know the feeling. Pager goes off at 2 AM. You stumble to your laptop, open the terminal, and stare at a PostgreSQL stack trace you've seen before — but can't remember exactly what fixed it last time. You dig through Slack threads, closed Jira tickets, and a half-finished runbook.
Building ProductOps Memory: Teaching an AI Agent What a Team Learned Most AI agents are good at answering questions. The harder problem is remembering what a team has already learned.
The Problem Competitive information can appear in many forms: Feature and product launches Pricing changes Marketing campaigns Promotional offers Product announcements Changes in messaging Other market signals When these activities are viewed independently, it can be difficult to understand the…
Memory-Enabled Customer Support Agent — Dev-Ready Specification Project Overview 1.1 Problem Current customer-support systems are commonly stateless at the interaction level.
Querying Hindsight Memory Engine Before generating the dossier, the backend queries Hindsight to fetch historical context, past commitments, and entity-specific constraints related to the client.
🚀 Understanding App Security: How Mock UI Confirmations Work (Educational Awareness) In the digital era, many users fall for fake payment receipts and visual confirmation screens.
Why Live SAP Demonstrations Tell a Different Story Vendor demonstrations often present SAP capabilities in ideal conditions: clean data, familiar processes, prepared examples, and a specialist who knows exactly which option to select.
Many dev tools label themselves local-first while secretly pinging remote endpoints for telemetry, grammar downloads, or license checks. When building TokenCap, we decided that security guarantees should not depend on developer discipline. They must be enforced by automated tests in CI.
Originally published at nlocoding.com 3xNvidia tripled code output with AI IDE (Cursor) Nvidia now produces three times as much code as before across its 30,000+ engineers, thanks to a specialized AI-powered IDE—Cursor.[1] AI-assisted debugging techniques for complex systems are rewriting the rules…
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