Oh nice! I’ll take a look at it, I was thinking of implementing such mecanism in Cooper (I don’t know where it’s going, exploring the possibilities and practical usefulness)
In the past few weeks, experimenting with a custom ai agent running entirely in the browser with sandboxed tools exec.
The core is built in Rust, a native CLI is built on top for local experimentation but the most interesting part is the web version: the core is built to WASM and get augmented with many tools in the JS land:
- OPFS access (read, list, edit files)
- Sandbox Python exec (Pyodide in WASM)
- Sandbox DuckDB exec (DuckDB-WASM)
- Draw charts
- Show images
- etc
OpenAI Completions compatible API providers are supported.
But if you want a full local and sandboxed execution of the whole agent, the web version bundles also wllama to serve local GGUF models (with WebGPU optional support).
> People do weird things when given sudden access to money or power.
10 years ago my last boss told me one last advice before going onto entrepreneur ventures: « be careful, people do become crazy and stupid with money » (and I guess he knew what he was talking about…)
For the past few months, many times i’ve tried this workflow:
1. Ask a coding agent to think and implement a feature that is non trivial
2. This leads to really understand pros and cons for many possible solutions and see it happen end to end
3. Revert all changes and implement it myself when i’m settled on a solution i’m satisfied with
4. At this point the agent is just an iterative reviewer
I’ve felt that any non trivial amount of code not written myself tends to be hard to own. And like the author said, need to keep skills sharp also
Wow thanks TIL about the « add-bounds » config! Especially useful for project where pinning to exact dependencies is crucial and easily missed by less experienced devs (end products, not libs)
Because a coding agent (when instructed well) will try to make a piece of code work in a loop. Static typing and compilation help in the process (no more undefined variables discovered at runtime for instance). But that’s not bullet proof at all as most of us know
Might be the best visual explainer of Shazam original audio fingerprinting algorithm from the 2003 paper (I guess they´ve switched to ML models at some point?)
Agreed. But would mean having to educate people on security, privacy and computing in general… Pretty sure most government like having most people uneducated on such things
> … said the company “does not use algorithmic wage-setting tools to make compensation decisions for our employees or to set new-hire salaries.”
When the HR/CRM/ERP/whatever internal software has the plan to compute these metrics and they display it as metadata next to the people’s names, it’s hard not to curious « just to check ». Maybe it’s not in the company policy but you can never be sure of individuals actions (especially big corps as mentioned in the article)
Loved this book when I was a student! This is for DSP enclined audience with a focus on musical applications. Not very in-depth if you want to develop your own plugins or DAW but still very informative
Is this still a debate? It all depends on personal goal/wishes and constraints from your working contrxt (e.g company size, country of residence).
Take France with medium to large size companies: ICs (whatever the seniority) are usually paid less and have a hard time evolving so they are naturally encouraged to take on management roles by their hierarchy. In some other contexts, ICs may have more leverage thus not wanting to go the management route and that’s okay.
Anyway, in the next 5 to 10 years this all might change for better or worse so…
And maybe writing an article or a keynote slides is one of the few places we can still exerce some human creativity, especially when the core skills (programming) is almost completely in the hands of LLMs already
And that makes total sense. Honestly working since a few days with Opus 4.6, it really feels like a competent coworker, but need some explicit conventions to follow … exactly when onboarding a new IC! So i think there is a bright light to be seen: this will force having proper and explicit contribution rules and conventions, both for humans and robots
[ my public key: https://keybase.io/rmnclmnt; my proof: https://keybase.io/rmnclmnt/sigs/4H5d8jeeEwn4NERP-ULQ60Iy27TuT9W7FC2YXu_meWw ]