31 posts
AI agents don't fail loudly — they degrade silently, returning 200 OK while the damage compounds. Inside the $47K loops, NOHARM omissions, and the engineering discipline rebuilding observable failure.
AI is silently promoting every knowledge worker to middle management — without the title, the training, or the pay. This is what that shift actually looks like from a Singapore desk.
For neurodivergent professionals, AI isn't just a productivity tool — it's the first accommodation you can access privately, without disclosure, without stigma, and without asking anyone's permission.
Dorsey's manifesto for replacing middle management with AI nails the 60% that's automatable — but the 40% it barely mentions is where organizations quietly break.
Anthropic's decision to withhold Claude Mythos from public release isn't just safety theater — the system card reveals genuine alignment gaps at scale and a cybersecurity exploit window that just collapsed from months to minutes.
When I first built Gluon on my Mac mini, I was solving a personal problem: monitoring Claude agents without losing my mind to tmux logs. But when teams join the picture, everything changes — security, governance, observability, and the fundamental role of the developer. Here's what production infrastructure for autonomous agents looks like.
I built an open-source MCP server that reduces LLM token usage by 70-90% through server-side HTML filtering, markdown conversion, and CSS selector targeting. Here's why context efficiency matters—and how Scraper MCP solves it.
AI projects fail at staggering rates by prioritizing technology over business outcomes. Discover how venture capital evaluation frameworks can prevent costly failures and deliver measurable ROI through business-first thinking.
OpenAI's AgentKit launch seems late to the agent party—but their track record suggests a strategic consolidation play that could dominate the $93B agentic AI market.
I gave Claude Code an XML backup of my 19-year-old WordPress blog and asked it to rebuild everything as a modern NextJS site. What happened next was like watching a swarm of expert developers work in parallel—spawning agents, debugging TypeScript errors, and shipping production-ready code. All in 26 minutes. For eight dollars.
After watching 40% of agentic AI deployments fail in production, I'm building Dagentic — a serverless-first framework designed for what AI agents actually are: unpredictable, spiky workloads that modify themselves mid-execution.
After 12 months of systematic optimization, I've documented 50-70% productivity gains with AI coding assistants. The secret isn't just using AI tools—it's teaching them to think like you do through carefully crafted configurations.
How multi-agent AI systems are revolutionizing document creation, turning complex research workflows into automated pipelines that generate comprehensive reports with rich formatting, citations, and visuals.
At 3 AM, I was manually cropping 47 personal photos for a LoRA model when I realized half were the wrong aspect ratio. Three hours wasted. So I built a simple Python app that does the same work in 15 minutes—and it changed how I think about AI tooling infrastructure.
Despite claims that Social TV is dead, data from 486,659 Zeebox tweets and 4.3M Miso tweets reveals a more complex reality in the second-screen battle.
The real problem with Big Data isn't volume—it's knowing what you want to achieve and starting with clear business challenges, not technology.
A striking similarity between my Sky News personalization patent and Google's news customization feature raises interesting IP questions.
Instagram's Android launch and Facebook acquisition drove massive growth to nearly 60% market share, while Twitpic and Yfrog continue declining.
Key insights from IBM Research's webinar featuring Netflix and StubHub on implicit data collection, recommendation strategies, and the evolution from BI to Data Science.
Forget petabytes and Hadoop hype — true Big Data isn't about volume, it's about processing two orders of magnitude more data than you currently handle.
Updated ZipFileInputFormat framework for processing thousands of ZIP files in Hadoop with failure tolerance and comprehensive examples
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Left BSkyB to co-found TUMRA, a data science startup, and been busy developing products while updating personal website
Installing Revolution Analytics R statistical computing platform on CentOS 6 with dependency resolution and compatibility fixes
Automating Sea Turtle mount acquisition in World of Warcraft using custom waypoint navigation and fishing pool detection algorithms
Advanced navigation techniques for autonomous MMORPG characters using Recast/Detour navigation meshes and path finding algorithms
Quick fix for regex errors in earthquake data collection restores latitude/longitude coordinates for ~31,020 seismic events
Build a Java utility class to consume Twitter Streaming API data for offline analysis in Hadoop with automatic file segmentation
Custom utility classes to extract and parse ZIP file contents in Hadoop MapReduce jobs using ZipFileInputFormat and ZipFileRecordReader
Collated earthquake data from GEOFON Extended Virtual Network into CSV format following Japan's devastating earthquake events
