Learn how modern AI evolved from simple language models to Transformers, reasoning models, and ChatGPT through practical examples and diagrams. Read more ›
Ferrix is an agentic system for product management that synthesizes context, surfaces priorities, and generates specs, tickets, and release plans with human judgment Read more ›
Operating out of Canada, Bounce Padel Courts provides design, engineering, manufacturing, delivery, and installation services to try and ensure every court meets the standards of competitive play. Read more ›
How we built a persistent agent memory layer on Elasticsearch with 0.89 recall and zero tenant leaks
Discover the architecture behind a persistent, multi-tenant agent memory layer on Elasticsearch: three indices, hybrid retrieval with RRF and a reranker, supersession, decay, and per-user DLS isolation. R@10 0.89 across 168 questions. Full open-source implementation included. Read more ›
By Pyrrhonian Skepticism about Philosophy (PSP) we mean the view that, considering the permanent and pervasive dissensus in philosophy, you cannot maintain your philosophical beliefs—you should suspend them, or at least significantly (and perhaps painfully) reduce your confidence in their... Read More › Source Read more ›
Three frontier models are competing for your production workloads in June 2026, and choosing wrong isn't a minor inconvenience — it's a 3x cost penalty or shipped results that embarrass you. Claude Opus 4.8, Gemini 3.5 Pro, and GPT-5.6 each win on specific dimensions. None of them wins on all dimensions. The short version: Opus 4.8 for coding tasks inside 200K tokens — nothing else is close on SWE-Bench. Gemini 3.5 Pro for workloads that need more than 500K context. GPT-5.6 for multi-step age... Read more ›
There's a moment in almost every RAG project where someone asks the question that decides your next two years of ops work: "Do we actually need a vector database, or can Postgres just do this?" It's a better question than it sounds, because the honest answer isn't "use Pinecone" or "use Postgres." It's "it depends on numbers you probably haven't measured yet": how many vectors, how aggressively you filter, how much you care about the absolute ceiling of queries per second. Most teams pick bas... Read more ›
Moduna surfaces new business opportunities and the blind spots keeping AI agents from resolving user intent. Read more ›
A Harness for Every Task: Dynamic Workflows (dynamic work orchestration) in Claude Code – How to Solve Complex Tasks with Tailor-Made Multi-Agent Systems As an AI-native builder, you already know the real bottleneck isn’t raw model intelligence anymore — it’s context, persistence, and the ability to orchestrate work across time and parallel streams. Anthropic’s new dynamic workflows solve exactly this by letting Claude instantly write and run a custom harness (a tailored orchestration layer ... Read more ›
A grounded walk through Lume's retrieval core - field-aware BM25, two-stage roaring/Godel pruning, local GTR-T5 vectors via Shivvr, a significance-scored entity graph, the multiplicative blend that fuses them, and the knobs that tune it all. Read more ›
As the height of the tennis season approaches, with global anticipation building ahead of Wimbledon (29 June – 12 July), Pine Cliffs, a Luxury Collection Resort in the Algarve, invites guests to enjoy the thrill of the game first-hand at its Annabel Croft Tennis and Padel Academy. Reflecting demand for experience-led luxury holidays, the academy offers world-class coaching and exceptional facilities for all abilities, from beginners to seasoned players. Combining the timeless appeal of tennis... Read more ›
The American Philosophical Association (APA) has announced the winners of its Spring 2026 prizes. 2027 John Dewey Lectures Three annual lectures, one at each divisional meeting of the APA, given by a prominent and senior (typically retired) philosopher associated with that Division, who is invited to reflect broadly and in an autobiographical spirit on philosophy in America as seen from the perspective of a personal intellectual journey. ($1000.) Eastern: Eva Kittay (Stony Brook University) C... Read more ›
A founder I know spent eighteen months obsessing over churn. Every week, a call with a churned customer. Every month, a post-mortem on cancellations. His product roadmap was basically a transcript of complaints. The product got better at the margins. Churn barely moved. What he never did, not once in those eighteen months, was call a customer who had been quietly paying full price for two years without ever filing a support ticket. That silent customer is where your real product is hiding. Th... Read more ›
Vector databases are increasingly used in security sensitive contexts with Retrieval Augmented Generation and organizational AI pipelines; however, their security capabilities remain limited. Specifically, Fine-grained Access Control (FGAC) which is required to ensure that data access adheres to user-specific policies is not fully supported in modern vector databases. Unlike relational databases, vector databases combine structured and unstructu... Read more ›
Rather than treating retrieval as a fixed recipe, in this blog we derive it from first principles. We explore why BM25 looks the way it… Read more ›
From pretraining to RLHF/GRPO — every algorithm hand-written in pure PyTorch. Read more ›
Since Copernicus, nothing has done more to upend our understanding of the world than Kant’s idea that the human mind actively structures our experience of reality. Read more ›
Turquoise check across the main pool area and gardens aside, guests can head out along the coastline on Burberry-branded boats. Read more ›
Cross-border e-commerce sellers often spend hours comparing the same products across different Amazon marketplaces. Prices, reviews, and seller signals vary by country, but the process is still largely manual.I wanted to see how far I could automate it with a small AI agent built using Codex, SerpApi, Read more ›