Six hypothèses sur le monde numérique de 2026
Pas des prédictions, encore moins des promesses : six scénarios plausibles pour comprendre où glisse lentement la technologie - et ce que cela change pour nos usages quotidiens.
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👹 Migrer son blog Jekyll vers Quarkus Roq ⚡️
👹 Migrer son blog Jekyll vers Quarkus Roq ⚡️
Comment et pourquoi migrer son blog Jekyll vers Quarkus Roq
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Nouveau The Identity Crisis No One Planned For: Governing Nonhuman Agents at Enterprise Scale
For a decade, identity and access management meant one thing: governing the humans who log in. Employee joins, gets provisioned, gets a manager, gets a departure date, gets offboarded. That loop is well understood. What changed is that the fastest-growing population inside enterprise environments is no longer human, and the governance playbook written for people […]
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Qwen3.8-Flash-Next
Nouveau Qwen3.8-Flash-Next
Qwen3.8-Flash-Next Another open weights model from Qwen. This one is "a multimodal MoE model that also serves as an early preview of the architecture used in Qwen4". It's pretty big: 125B tokens, but only 6B active which means it gets a significant performance boost. I've been trying it out on a DGX Spark using these Unsloth quantized models. I'm still exploring the model - so far I've tried the 72.5GB UD-IQ1_S one (producing these pelicans) and the 78.9GB UD-Q2_K_XL (producing these). My…
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![[Hands-on] Turn Scientific Figures Into Structured Data with Mistral OCR](https://substackcdn.com/image/fetch/$s_!swtY!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fff5a5719-b825-4c5e-8ebd-0ba1a961ff8f_1456x808.png)
Nouveau [Hands-on] Turn Scientific Figures Into Structured Data with Mistral OCR
A full walkthrough of the extraction schema, with code.
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Nouveau Effective Patterns for Advanced MCP Usage
The following article originally appeared on PulseMCP’s blog and is being republished here with the authors’ permission. Most MCP demos feature a single server connecting to a single client. For example, you might wire up a Gmail MCP server to Claude Code. It works! It triages your inbox, drafts replies, finds that thing from three […]
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Récent When Smaller Models Win
The following article originally appeared on the Asimov’s Addendum blog and is being republished here with the author’s permission. Even the best AI models can suck at chess The launch of ChatGPT had an interesting effect on the online chess discourse. Chess has already long been conquered by machines. As early as 1996 a computer […]
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Quoting Paul Dix
Récent Quoting Paul Dix
The fact that AI wrote 1M LOC and then refined it over the course of the next couple of months to produce a reliable piece of software that is currently running on millions of developer machines is absolutely mind blowing. And you can say, “well it’s not that impressive because they had an oracle to compare against, so it was simple to go from one language to another”, but I think that’s selling this entire thing short. If you can build a verification system and give proper direction, AI can…
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EVE Online: The Move to Python 3 Begins!
Récent EVE Online: The Move to Python 3 Begins!
EVE Online: The Move to Python 3 Begins! EVE Online has been one of the most interesting case studies in Python at scale for over twenty years now. They've been running on Stackless Python since their launch in 2003, and their last major upgrade was 16 years ago, to Stackless Python 2.7 in 2010. Their upgrade to Python 3 will start using the futurize script against 2.4 million lines of code, followed by careful manual review of the ~20,000 places where Python 2 and 3 behavior differ - for…
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Récent The Design System as the Control Plane for AI-Generated UI
AI-assisted development has made it easier to generate frontend code quickly. A developer can ask for a form, a dashboard widget, a settings page, or a modal flow and get a working first draft in seconds. That speed is useful, especially when teams are moving through routine UI work. But speed creates a problem that’s […]
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Récent Shadow Agents, Standing Privileges, and the Governance Gap Between Deployment and Discovery
There was a brief window where AI agent security felt like a future problem. Organizations deployed copilots, coding assistants, and autonomous workflows on the assumption that the worst case was a bad recommendation or a hallucinated answer. That window closed in the first half of 2026, when a cluster of vulnerabilities and a landmark incident […]
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Récent Preloading Knowledge Into a Model Instead of Retrieving It
How to process your corpus once, skip retrieval entirely, and serve every query from a stored cache. Three parts covering the full spectrum.
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llm-anthropic 0.27
Récent llm-anthropic 0.27
Release: llm-anthropic 0.27 This release of the Anthropic plugin for LLM mainly provides compatibility with the recently released anthropic v1.0.0 Python library, which switches from httpx to httpx2. OpenAI made the same change in their v3.0.0 release two weeks ago. Anthropic provide this migration guide for upgrading to 1.0, so I prompted Fable 5 in Claude Code with: Upgrade to anthropic>=1 - read https://raw.githubusercontent.com/anthropics/anthropic-sdk-python/refs/heads/main/MIGRATION.md…
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Récent Data Intelligence: Building Your Competitive Advantage in the Era of AI
To keep pace with modern business, data strategy is shifting toward more autonomous real-time systems that deliver intelligence at the moment decisions are made. Driven by agentic AI, modern data teams are moving beyond simply looking at what happened. Now they’re automating complex workflows that analyze what’s happening, anticipate what might happen next, and recommend […]
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