jbellis

5 ms·

1.
by jbellis 3d ago
One thing we've noticed is that if you have model X implement AND review the same change, the reviewer often shares the same blind spots as the implementer. https://blog.brokk.ai/mjolnir-automated-cross-vendor-adversa..
2.
by jbellis 4d ago
If you're more of a SWE than a data scientist, check out Mjolnir: https://github.com/BrokkAi/mjolnir/ Built in containerization and EC2 support, allows moving sessions across harnesses/profiles/mach
3.
by jbellis 4d ago
This is only correct if you ignore subscriptions. I ran the numbers on what you get for your subscriptions last week: https://blog.brokk.ai/a-coding-subscription-tier-list/
4.
Don't use musl if you care about performance(blog.brokk.ai)
109 points by jbellis 19d ago|77 comments
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by jbellis 21d ago
This is why I stop at xhigh.
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by jbellis 22d ago
No, you need more compute for those use cases. That's why everyone trains on GPUs.
7.
by jbellis 25d ago
Love to see this. I started something similar a couple years ago but didn't quite have the patience to make the browser extensions really bulletproof. Planning to contribute significant improvements to the vector search side here.
8.
by jbellis 25d ago
Unfortunately we seem to live in an era where your mainstream choices for a cross platform app are "Electron taking 1GB when idle" and TUI.
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Mjolnir: Automated Cross-Vendor Adversarial Review(blog.brokk.ai)
3 points by jbellis 27d ago|0 comments
10.
by jbellis 28d ago
If it's 2x faster than rustc, I'll switch.
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Muninn: Code localization model in the world fits on your phone(blog.brokk.ai)
1 points by jbellis 29d ago|0 comments
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It's time to stop doing code reviews(blog.brokk.ai)
6 points by jbellis 1mo ago|9 comments
13.
by jbellis 1mo ago
Because there are better ways now to solve the problems that code review exists to solve.
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by jbellis 1mo ago
And that's it, that's the last lab releasing models worth coding with that didn't have a first party harness that its models are trained to use.
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by jbellis 1mo ago
I'm so old I can remember when ars technica published actual technical content.
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by jbellis 1mo ago
Why less workflow friction?
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by jbellis 2mo ago
The only scenario is if you have enough work to do batch inference. Using a tiny fraction of GPU capacity to decode a single request at a time just doesn't make sense, as you say.
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by jbellis 2mo ago
Yes, look up REAP.
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by jbellis 2mo ago
Apparently this is an unpopular opinion on HN, but a job isn't an output that companies produce, it's an agreement to compensate an employee in exchange for services, and just as the CEO shouldn't take it personally when one
20.
by jbellis 2mo ago
It's roughly equal on price and intelligence as GLM 5.2 while being ~8x faster.
21.
by jbellis 2mo ago
I guess you didn't read ellie's reply directly underneath that?
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by jbellis 2mo ago
It tops benchmarks because it uses them in its training data. https://x.com/eliebakouch/status/2077425801633427919
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by jbellis 2mo ago
This just isn't true. On balance, data centers are turning out to be more like the "anchor tenant" of the power grid, financing improvements for everyone. Overview article with links to actual studies: https://city
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by jbellis 2mo ago
voyage 4 nano is sota at the next size up and if you really want the best teacher models it's probably the voyage commercial APIs
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by jbellis 2mo ago
FWIW -- Granite r2 small is a 30M model, still small enough to run on CPU, and a good baseline for fine tunes.
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by jbellis 2mo ago
Yes, disappointing given that Chronicle actually does have legit expertise here. (Chronicle Map is not very well-known even in the Java space but it's by far the best larger-than-memory Map available.)
27.
by jbellis 3mo ago
That's a reasonable option, just be aware that you get about 1/3 as much memory bandwidth with the M5 Pro, or 2/3 with the M5 Max [now you're at $4100 for the lowest-end]. So both your prefill (flops-bound, M5 has a lot
28.
by jbellis 3mo ago
It's no mystery. https://en.wikipedia.org/wiki/Anders_Hejlsberg
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by jbellis 3mo ago
I feel bad that I wasted my time reading this. On the points in the article: 1. Yes, "gain" is a vanity metric but it's harmless, nobody is being "fooled" here. 2. This could be a problem in principle, sure, but unl
30.
by jbellis 3mo ago
man, Tom Lane has hated query hints for literally decades did he finally come around?

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