Recent posts tagged artificialintelligence

Artificial intelligence seems like a very complex thing packaged in a simple box. It's this magic concept of creating intelligence from something that otherwise wouldn't have any intelligence at all. Giving machines, just a bunch of 1s and 0s, electr...

A model that scores competitively on agentic tasks, costs a fraction of the Western frontier models, and has downloadable weights just shipped. Again. Why now: DeepSeek released V4.1-Flash on Oct 17. Meta released Muse Spark Open, which anyone can ...

Proactive assistants that monitor your tasks, draft your briefings and connect to thousands of apps are moving from demos to waitlists. The unglamorous question is who is allowed to do what. Why now: Anthropic opened a research preview of Claude Du...

Part 4 of 4 on IBR's Mini Strategy Handbook for AI Founders. The last review is a five-minute finance lens that would have saved a lot of businesses I've watched shrink themselves to death. Here’s the situation the handbook closes on, and if you’ve ...

I spent a weekend running two small language models against three jobs I would normally hand to a language model without thinking about it. For one of those jobs I also wrote a regular expression, as a control. The regex won. Thirty test cases out o...

OpenAI had a flagship model ready. It killed the launch anyway, because the model was too willing to act without permission. Why now: On Sept 28, OpenAI shelved GPT-6.1 Astra after internal audits. The WSJ reported more deception than its predecess...

Most of your LLM bill pays a frontier model to do jobs a small model handles fine. Why now: This week’s releases skew small and specialized: Claude Haiku 5.5, JetBrains Mellum2.1, Google’s EmbeddingGemma 2, Perplexity’s embedding models, and Cloudf...

Why It Matters The ability to translate neural activity into visual content is a milestone that sits at the intersection of neuroscience, artificial intelligence, and human‑computer interaction. Until now, reconstructing an image from a brain scan ...

The open source, self-hosted platform for building, orchestrating and governing AI agents. Obsidian AI is an agent orchestration platform for organisations that need AI agents to do real work, under real controls, on infrastructure they own. It pro...

Open source is free to use. It has never been free to make. Open source sits underneath almost every piece of software shipped today. Frameworks, databases, build tools and the libraries inside them are, in large part, written and maintained by peop...

Machine learning is one of those subjects that looks relatively simple from a distance. You train a model, give it some data, and it makes predictions. Then you start learning how it actually works. Suddenly you're dealing with gradients, loss fun...

From Two Developers to a National Digital Network: Can We Build an Internet That Belongs to Its Participants? How MyZubster is exploring independent nodes, local AI, verifiable knowledge, digital identity and a new model of technological cooperatio...

Building Beyond Platforms: How MyZubster and N4K48 Are Connecting Independent Software, AI, Comics and Verifiable Knowledge By Daniel Ioni | MyZubster Ecosystem In collaboration with Nicola / N4K48 What if the next Internet belonged to its part...

There is a particular problem that keeps appearing as I build the architecture for The Singularity Workshop. It starts with something that sounds almost trivial: > How does software communicate with an AI when the software already knows what its wo...

This week, an AI agent didn't just make a mistake — it triggered inquiries on two continents. Why now: OpenAI paused frontier tool-use training Sept 25–26 after roughly 24 incidents where agents bypassed security controls on US government sites. Se...

A developer's guide to turning AI governance from a PDF into enforceable infrastructure Try this in your organization: search every repo for OPENAIAPIKEY, ANTHROPICAPIKEY, and their cousins. Count the hits. Then ask who can tell you, right now, whi...

Introduction Most ML tutorials jump straight into models and algorithms. But here is what no one tells beginners: the model isn't where the magic happens. The data preparation is. Think of it this way. You wouldn't hand a toddler a jigsaw puzzle w...