So I am not directly responsible for it. Which is just off.
At the moment, it's just a massive waste of time.
Agents should live where I do the work unless they can automate me with 99% accuracy.
make some small adjustments and push again (or rather just discard it).
It makes sense that it is working locally, where the dev is working.
I think it also creates a sense of detachment from the code. Usually when I pull something, it's the work of someone else....
Not sure whether Codex or Devin are saving me time.
The workflow is off.
They are made to push to the remote, which completely breaks the workflow (working directory -> staging -> remote).
So you push or make a pr, pull it down, check whether it's working or ...
Garmin (yesterday) : you did a hard workout, minimum recovery 48 hours
Garmin (today) : time to run 24 minutes at 5k threshold pace
Iteration cycles are really long. Create a task, send it off, get it to local. See how it looks (frontend) or run your test suite. Then continue.
OpenCode is really stepping it up. I love the sidebar stuff. Really plays well with nvim.
i dream of a world with a single consistent markdown format
@transistor.fm When I put and episode in "Draft" and then schedule it a few days out, the start date in the analytics should still be the day I post the episode not the day I created the draft
@howaiisbuilt.fm is back.
most AI conversations obsess over capabilities. This one focuses on constraints - the right ones that make AI actually useful rather than just impressive demos.
open.spotify.com/episode/1MbZ...
I think there UX is too wish for, bad defaults, bad keymaps, also that I can edit anywhere in the chat is really weird :D
Otherwise agree
Why does only Zed have autocomplete in the chat
Thanks buddy
trying to stay backwards compatible :D
Thanks to @nicolay.fyi for giving me the opportunity to talk about @trustgraph.bsky.social on How AI Is Built!
Labels such as "facts", "observations", and "assertions" take on new meanings when we begin to consider time. Click 👇 to watch the full episode! 🎙️
youtu.be/VpFVAE3L1nk?
Does anyone have a clue about what data structure is used for Google Docs? Suggestions, comments, collaborative editing,...?
That's a shame for the technology that is actually developed here. We have Mistral AI, Black Forest Labs working on the state of the art. We should support and celebrate their breakthroughs, not when a foreign company decides to open an office to sell to EU companies.
We also need to celebrate the breakthroughs we make here in the EU. In the last few days politicians started to celebrate OpenAI moving to Munich as a breakthrough for the EU and technology in Germany.
- Limited liability protection for innovative technology testing
- Fast-track certification processes for new products
- 2-week fast-track work visas for technical roles
- Remote work permits across EU without additional paperwork
- Reduced mandatory healthcare contributions for first 10 employees
- Safe harbor provisions for data experimentation within defined boundaries
- R&D tax credits from day one
- Reduced social security contributions for the first X employees
- Fast-track banking setup and simplified financial reporting
Otherwise we force our founder to focus on taxes and accounting and not building something that sets them apart.
We need a "Startup Innovation Pass":
- Temporary exemptions from regulations with basic safety and ethics standards
- Tax exemptions for startups under certain revenue/user thresholds
Otherwise we set them up for failure from the get-go.
We need easy ways to open up a new company.
Otherwise we don't incentive people to fund, because it's just easier to take high-paying jobs from US startups or big-tech.
We need tax exemptions for new startups for the first year.
Our startups are left behind. By the time the EU startup achieves compliance, the US company has gone through multiple product iterations.
We need sandboxes that allow startups to innovate, while breaking some of the rules.
We are creating fights on unequal footing. US startups can compete without the same regulations. Incumbents can compete with a bunch of lawyers figuring out ways around regulations.
Or they can't offer features the US competitors can. I am working on a startup right now, where we cannot offer a feature because of GDPR. Even though all the information is publicly accessible. It just biases our customers to not go with us.
The regulation EU startups are facing (GDPR, AI Act, DSA,...) are great in spirit, but when startups have to think regulation first, they are forced to move slower than the non-EU competitors.
EU mobilizes 200 billion Euros for AI.
Unless we have a massive political change that money will just go to waste.
For innovation to happen, we don't need money first, but deregulation.
We cannot work on breakthrough technologies, when we are at constant fear of being sued.
arxiv.org/pdf/2502.05167
Sorry :D
Long-context isn't solved. We just had bad tests.
What this means:
- RAG isn't dead - it's more important than ever
- Breaking text into smaller chunks still helps
- Models need to get better at reasoning, not just matching at long contexts
So no more matching, but actual reasoning.
Even top AI models struggle as texts get longer.
- o3-mini degrades to 18.9 at 32K context window
- Deepseek R1 to 20.7 at 32K
- Most models even struggle past 4k
For most tasks good retrieval + smaller contexts will improve your performance.
