Guillaume Loret retweeted
Biggest misconceptions bout OpenWork is that we're a desktop app.
OpenWork is a way to deploy AI capabilities safely to your team.
Whether it's MCPs, AI Models, or skills - admins can configure them all in OpenWork and distribute them across a wide way of surfaces.
Different harnesses, slack, simple chat interfaces, or the desktop app are all supported.
Guillaume Loret retweeted
In a world where you can do 100 parallel tasks remember that same world allows *anyone* to do the same.
It is not ambitious to take on more work if your work is easy.
But if anyone can have 100 parallel tasks going on, why aren't there more people getting ahead?
The reason is that is in a world where you can move faster, moving faster in the correct direction matters even more. You can compound faster, create more distance between you and everyone else.
The important things haven't changed: deciding what to work on, sticking to it, and focusing.
Your software factory isn't creating the gap you think it does. The gap you should care about is the gap in market value you captured, not the code you were able to produce.
You are not working in isolation, you're competing against the entire world.
Someone doing a "software factory" is not a scarce resource. What is scarce is attention and discernment. Intelligence being "on tap" doesn't change that.
The truly ambitious don't only take on more work. They take on a particular kind of work in a particular way.
Guillaume Loret retweeted
we made our terrible onboarding, a bit less terrible
(jk we think it's great now, but do let us know)
Guillaume Loret retweeted
Why GPT-5.4, Claude, and Gemini can't agree on basic, real-world facts thenewstack.io/frontier-llm-…
Guillaume Loret retweeted
Android Bench evaluates LLM coding performance by focusing on the nuances and platform expertise that are unique to Android.
See how your favorite model stacks up → goo.gle/4swdpRe
Are the results what you expected? 👀 Let us know in the replies!
Open source is facing a double crisis: we’re relying on "zombie" packages with no human maintainers while using flawed metrics that ignore our most critical infrastructure.
* nesbitt.io/2026/05/08/weeken…
*
nesbitt.io/2026/05/09/the-mi…
Guillaume Loret retweeted
Wait, there is also an English version: correctiv.org/en/europe/2026…
Researchers are finding that subtle inconsistencies in physical laws, like light reflections, shadows, and perspective lines, are still reliable indicators for identifying deepfakes.
techspot.com/news/112338-ai-…
Using a hybrid architecture for AI agents: files as the human-readable "interface layer" for context, while leveraging databases as the scalable "storage layer" for long-term recall.
thenewstack.io/ai-agent-memo…
Despite its power, WebAssembly often requires complex JavaScript "glue code" just to talk to the browser. The article explores how the WebAssembly future could look like.
hacks.mozilla.org/2026/02/ma…
Contrary to the promise of reduced workloads, new research shows that AI often intensifies work. Because the tech makes "doing more" feel accessible, employees are expanding their job scopes, multitasking more, and blurring the lines between work and downtime.
Query knowledge graphs without the hassle: GRASP lets you run complex SPARQL queries with simple natural language questions
grasp.cs.uni-freiburg.de/
LangChain is moving away from Retrieval Augmented Generation (RAG) and towards agentic search.
[blog.langchain.com/rebuildin…








