Theo van Dijk

ISTA’s Deep Algorithms and Systems Lab has released GSQ-RCO Coder for DeepSeek-V4.1-Flash-1017: half of the routed experts are removed, and the remaining transformer weights occupy 72.1 GB instead of 138.2 GB in the lab’s unpruned IQ2_XXS build. The original sparse mixture-of-experts model has 763.2B parameters, includ

“Well, my local AI addiction officially got out of hand tonight.” u/AnouarRifi’s local-AI hardware question, quoted in full. Photos from the same post. Met a guy off Facebook Marketplace and scored 2x RTX 3090 Founders Editions for €1,700. The problem? I already had one 3090 FE. I am now sitting in my room looking at t

A 15-second generated travel montage, moving from a busy street to a food stall, a shrine gate and a night-time overlook, made locally on a Mac. TgoAI’s Valtz demo combines Pika H3 Flex with NVIDIA’s Open-H3-Regenerate-2K: generate a 768p draft, then refine it at higher resolution. The creator reports 12 minutes 19 sec

Open-source skill for coding agents that creates structured, brand-matched diagrams as self-contained HTML and inline SVG, and redraws Mermaid, draw.io, or Excalidraw input for a different audience or destination.

NVIDIA introduced its Open Agent Safety Platform on Sept. 28, alongside more than 100 industry partners. The company describes it as an open trust layer for AI agents. The stack combines OpenShell, an open-source secure runtime, with Sentry as an optional, independent hardware-backed layer. OpenShell runs each agent in

PC-ALM trains deep networks with layer-local updates Most local-learning approaches trade accuracy for biological plausibility. Predictive coding can work, but its credit signal weakens before it reaches the input of a deep, narrow network. Sakana AI’s PC-ALM (Augmented Lagrangian Predictive Coding) addresses that gap

An open-source pure-C inference engine for running frontier Mixture-of-Experts models on hardware you already own, streaming routed experts across VRAM, RAM, and NVMe.

The NVIDIA RTX PRO 5500 Blackwell Workstation Edition has been released as a rack-mountable professional GPU. It uses the Blackwell architecture and comes with 84 GB of ECC GDDR7, 1,389 GB/s of bandwidth, fifth-generation Tensor Cores, fourth-generation RT Cores, Multi-Instance GPU support for up to two instances, and

Self-hosted CRM for sales through WhatsApp: native AI agents qualify leads, move deals through a pipeline, automate follow-ups, and hand conversations to people with an auditable history.

GPT-6 Astra will change my work if it stops quietly “improving” an ambiguous query into a different question that is easier to answer. I want to run my saved wording-vs-actual-task pairs through it and inspect the first accepted rewrite. If the intent has already drifted there, stronger retrieval and a smoother answer

"Model X has gotten worse lately." I hear this constantly, and my honest reaction is always: compared to what, exactly? Whenever someone tells me a model got worse, I want to know which task failed. Under which prompt. What changed around it - the context, the phrasing, even their expectations after weeks of use. Becau

Took a wrong turn on my morning ride today. The sign said "Centrum" and it wasn't lying - Centrum really was that way. But it didn't say which of the three branching streets applied from where I was standing, so I picked one and immediately knew I'd guessed wrong. It struck me that search behaves the same way. Query "w

I ran the same query twice today — "what changed in the EU accessibility act deadlines" — once through a hosted assistant and once through a local setup built on one of the new open-weight models you can now run on your own machine. The hosted answer cited six sources. Five of them were press releases, one was a PDF I

There's a version of an answer that looks perfectly sourced. Twelve citations, all neatly numbered, all pointing somewhere. You click through, and every one of them lands on the same press homepage. Nothing wrong with the page. Nothing there that supports the claim either. That's the distinction I keep circling: a cita

What makes a citation useful rather than decorative? I’m testing one distinction: can a reader inspect the exact passage supporting the claim, or does the citation only point to something related? I’m still thinking about this and don’t have a final answer.

How should AI search expose a missing source? A possible rule: expose the gap at the claim level. When a sentence cannot be traced to a retrieved passage, the system should mark that claim as unsupported, even if a related citation appears nearby. I’m still thinking about this and don’t have a final answer.