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The UK’s 5-million-plus small and midsize businesses and enterprises (SMBs) are the backbone of our economy. Today, we’re seeing these critical businesses begin to put AI to work, to operate more efficiently, move faster, and ultimately deliver better outcomes for their customers. This shift is driv
Next-generation artificial intelligence (AI) and high-performance computing (HPC) chips routinely exceed 1000 W Thermal Design Power (TDP). Simply put, standard air cooling cannot manage these extreme heat loads. The alternative — retrofitting entire data center facilities with chilled water loops —
AWS announces the availability of Claude Fable 5 on Amazon Bedrock and Claude Platform on AWS. Claude Fable 5 makes Mythos-level capabilities available to all customers, with strong safeguards designed to make it safe for broader use.
For most of v1.x, the only way to operate Prism — change cache settings, set routing policy, cap a budget, audit who did what — was through the web dashboard. That was fine when the product was an OpenAI-compatible chat endpoint plus a small marketing site. It stopped being fine the moment we asked
Request-level AI cost attribution is the fastest way to answer the FinOps question that matters most: which team generated which bill. A usable usage log needs timestamps, model or provider, token counts, and a team or project identifier. Without that last field, cost allocation breaks down fast. Th
The benchmark is the wrong story Anthropic shipped Claude Opus 4.8 this week. You probably saw the announcement post on Tuesday, the swarm of benchmarks on X by Wednesday, and somebody's curated leaderboard of "the new SOTA on SWE-bench Verified" by Thursday morning. By Friday everyone had moved on.
One of the most frustrating puzzles in cancer biology: some lung cancer patients respond brilliantly to immunotherapy. Others don't respond at all. The tumour microenvironment (TME), the ecosystem of immune, stromal, and cancer cells that surrounds a tumour is a big part of why. I wanted to understa
AI Agents: The Future of Autonomous Intelligence What is an AI Agent? An AI Agent is a system that perceives its environment, makes decisions, and takes actions to reach a goal with minimal human involvement. A chatbot answers questions. An AI Agent goes further. It can: Search the web for up-to-dat
TL;DR A personal folder name leaked into public gallery output — not caught by standard PII checks because folder names sit in a gap that most safety checklists don't acknowledge. Anti-patterns are more valuable than patterns: the failure space for your specific context is more constrained and more
Pipeline & Prompts | Byte size guides on DevOps, Cloud and AI When I first started working in Cloud and Infrastructure, I assumed most servers ran Windows — because that's what I grew up using on my laptop. Then I got access to my first cloud environment and was greeted with a black screen, a blinki
Lenny Rachitsky's newsletter just walked operators through cloning themselves with Gemini Omni in under 15 minutes. Voice, face, knowledge base, response patterns. Fifteen minutes. The tools are here. The question is whether the clone runs on infrastructure you own — your knowledge graph, your MCP s
Agentic AI for Multi-Agent Orchestration Governance The root cause of most multi-agent failures isn't model accuracy. It's governance gaps. When a customer support agent and a sales agent both claim the same lead, you don't have an ML problem. You have an ownership problem. And that problem compound
Built envguard to solve an itch Every developer has broken a local build or a deployment at least once because of a missing environment variable. You pull the latest code, run the start script, and the application immediately crashes because someone added a new API key or database URL to the codebas
The Pain Point Exposed by the AWS Outages June 2026 · An analysis of infrastructure concentration On the night of May 7, 2026 (around 7:48 PM US Eastern Time), nearly all trading on Coinbase stopped. The cause was neither the market nor a hack. In a single availability zone (use1-az4) of AWS us-east
The problem I kept hitting What I built The benchmark result How the architecture works The multi-agent namespace pattern task-abc.shared ← readable and writable by all agents def researcher(task, own_ns, shared_ns): def executor(task, own_ns, shared_ns): pipeline = MultiAgentPipeline( LangChain dro
In 2024, the Oxford Internet Institute studied misinformation spread across 81 countries. Their finding: the most dangerous misinformation wasn't in English. It was in languages that English-language fact-checking tools couldn't read. WhatsApp forwards in Hindi. Facebook posts in Swahili. Telegram c
There is a special kind of productivity theater that happens during a developer job search. You wake up motivated, open LinkedIn, and apply to 27 positions before breakfast. You press the Easy Apply button with the precision of a professional gamer. By the end of the week, you have submitted 143 app
The glow of the screen hits different when you're reading an email that dictates your entire summer. Getting accepted into Google Summer of Code 2026 programme for Astropy, under the OpenAstronomy umbrella, was one of those really defining moments; all I could do was stare at the screen in disbelief
In This Article Why RAG Over Fine-Tuning for Financial Documents Chunking Strategy for Financial Text Embedding Model Comparison pgvector Schema and Indexing Complete Pipeline Implementation Production Considerations Financial services organizations accumulate enormous volumes of proprietary text: d
The Single Database Problem no single machine, no matter how powerful, can serve the entire world. Sharding and replication — splitting data across multiple machines (sharding) and copying it across multiple machines (replication). These two techniques are the backbone of every database system opera