Hacker News: lairv

New comment by lairv in "Muse Spark: Scaling towards personal superintelligence"

lairv — Wed, 08 Apr 2026 17:04:44 +0000

If the model is truly on par with Opus 4.6/Gemini 3.1/GPT 5.4 (beyond benchmarks) this still puts MSL in the frontier lab category, which is no small feat given that they pretty much rebooted last year

Many labs aren't able to keep up with the frontier, xAI, Mistral

New comment by lairv in "Day 1 of ARC-AGI-3"

lairv — Fri, 27 Mar 2026 01:32:10 +0000

Note that this uses a harness so it doesn't qualify for the official ARC-AGI-3 leaderboard

According to the authors the harness isn't ARC-AGI specific though https://x.com/agenticasdk/status/2037335806264971461

Day 1 of ARC-AGI-3

lairv — Fri, 27 Mar 2026 01:32:10 +0000

Article URL: https://www.symbolica.ai/blog/arc-agi-3

Comments URL: https://news.ycombinator.com/item?id=47538078

Points: 90

# Comments: 76

ARC-AGI-3

lairv — Wed, 25 Mar 2026 18:16:03 +0000

https://arcprize.org/media/ARC_AGI_3_Technical_Report.pdf

Comments URL: https://news.ycombinator.com/item?id=47521150

Points: 498

# Comments: 368

New comment by lairv in "OpenCode – Open source AI coding agent"

lairv — Fri, 20 Mar 2026 23:23:41 +0000

Blank screen, and it's referenced in the official docs as potentially a Wayland issue https://opencode.ai/docs/troubleshooting/#linux-wayland--x11...

I didn't dig further

Seems like there's many github issues about this actually

https://github.com/anomalyco/opencode/issues/14336

https://github.com/anomalyco/opencode/issues/14636

https://github.com/anomalyco/opencode/issues/14335

New comment by lairv in "OpenCode – Open source AI coding agent"

lairv — Fri, 20 Mar 2026 23:20:52 +0000

This issue: https://github.com/anomalyco/opencode/issues/9505

And then the official docs: https://opencode.ai/docs/troubleshooting/#linux-wayland--x11...

> Linux: Wayland / X11 issues

> On Linux, some Wayland setups can cause blank windows or compositor errors.

> If you’re on Wayland and the app is blank/crashing, try launching with OC_ALLOW_WAYLAND=1.

> If that makes things worse, remove it and try launching under an X11 session instead.

OC_ALLOW_WAYLAND=1 didn't work for me (Ubuntu 24.04)

Suggesting to use a different display server to use a TUI (!!) seems a bit wild to me. I didn't put a lot of time into investigating this so maybe there is another reason than Wayland. Anyway I'm using Pi now

New comment by lairv in "OpenCode – Open source AI coding agent"

lairv — Fri, 20 Mar 2026 22:32:29 +0000

I tried to use it but OpenCode won't even open for me on Wayland (Ubuntu 24.04), whichever terminal emulator I use. I wasn't even aware TUI could have compatibility issues with Wayland

World Models: Computing the Uncomputable

lairv — Thu, 19 Mar 2026 13:53:35 +0000

Article URL: https://www.notboring.co/p/world-models

Comments URL: https://news.ycombinator.com/item?id=47439478

Points: 2

# Comments: 0

The unlikely story of Teardown Multiplayer

lairv — Fri, 13 Mar 2026 16:20:00 +0000

Article URL: https://blog.voxagon.se/2026/03/13/teardown-multiplayer.html

Comments URL: https://news.ycombinator.com/item?id=47366435

Points: 242

# Comments: 65

New comment by lairv in "Yann LeCun raises $1B to build AI that understands the physical world"

lairv — Tue, 10 Mar 2026 13:00:47 +0000

https://cims.nyu.edu/dynamic/news/1441/

This is just the official name of a chair at NYU. I'm not even sure Jacob T. Schwartz is more well known than Yann LeCun

New comment by lairv in "Ggml.ai joins Hugging Face to ensure the long-term progress of Local AI"

lairv — Fri, 20 Feb 2026 14:22:03 +0000

Truly amazing that they've managed to build an open and profitable platform without shady practices

Ggml.ai joins Hugging Face to ensure the long-term progress of Local AI

lairv — Fri, 20 Feb 2026 13:51:04 +0000

Article URL: https://github.com/ggml-org/llama.cpp/discussions/19759

Comments URL: https://news.ycombinator.com/item?id=47088037

Points: 839

# Comments: 223

Ex-DeepMind's David Silver Eyes $1B Fundraise for Ineffable Intelligence

lairv — Thu, 19 Feb 2026 12:35:42 +0000

Article URL: https://techfundingnews.com/luupli-seed-round-42k-installs/

Comments URL: https://news.ycombinator.com/item?id=47073110

Points: 3

# Comments: 0

World Labs Announces New Funding

lairv — Wed, 18 Feb 2026 18:21:10 +0000

Article URL: https://www.worldlabs.ai/blog/funding-2026

Comments URL: https://news.ycombinator.com/item?id=47064290

Points: 1

# Comments: 0

The flavor of the bitter lesson for computer vision

lairv — Mon, 16 Feb 2026 15:16:45 +0000

Article URL: https://www.vincentsitzmann.com/blog/bitter_lesson_of_cv/

Comments URL: https://news.ycombinator.com/item?id=47036076

Points: 1

# Comments: 0

New comment by lairv in "Pandas 3.0"

lairv — Wed, 28 Jan 2026 16:36:41 +0000

Default to "spawn" is definitely the right thing, it avoids many footguns

That said for PyTorch DataLoader specifically, switching from fork to spawn removes copy-on-write, which can significantly increase startup time and more importantly memory usage. It often requires non-trivial refactors, many training codebase aren't designed for this and will simply OOM. So in practice for this use case, I've found it more practical to just use pandas rather than doing a full refactor

New comment by lairv in "Pandas 3.0"

lairv — Wed, 28 Jan 2026 14:59:39 +0000

Well I think ProcessPoolExecutor/ThreadPoolExecutor from concurrent.futures were supposed to be that

New comment by lairv in "Pandas 3.0"

lairv — Wed, 28 Jan 2026 14:00:39 +0000

I would agree if not for the fact that polars is not compatible with Python multiprocessing when using the default fork method, the following script hangs forever (the pandas equivalent runs):

    import polars as pl
    from concurrent.futures import ProcessPoolExecutor

    pl.DataFrame({"a": [1,2,3], "b": [4,5,6]}).write_parquet("test.parquet")

    def read_parquet():
        x = pl.read_parquet("test.parquet")
        print(x.shape)

    with ProcessPoolExecutor() as executor:
        futures = [executor.submit(read_parquet) for _ in range(100)]
        r = [f.result() for f in futures]

Using thread pool or "spawn" start method works but it makes polars a pain to use inside e.g. PyTorch dataloader

The Robotics Data Pareto Frontier

lairv — Tue, 27 Jan 2026 23:54:11 +0000

Article URL: https://vincentliu.org/the-robotics-data-pareto-frontier

Comments URL: https://news.ycombinator.com/item?id=46788956

Points: 2

# Comments: 0

Helix 02: Full-Body Autonomy

lairv — Tue, 27 Jan 2026 18:27:54 +0000

Article URL: https://www.figure.ai/news/helix-02

Comments URL: https://news.ycombinator.com/item?id=46784140

Points: 4

# Comments: 0