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fancy_pantser

1,000 karma · joined September 20, 2013

works at startups

mail me at github at hella dot rip

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fancy_pantser··on Pi 1.0
Pi is a minimal agent harness, so lots of functionality is provided through packages. Here's the one that exposes Claude models for people to use with their Pro subscription, for example: https://pi.dev/packages/pi-claude-bridge
fancy_pantser··on Pi 1.0
zed.dev is like Orca, but lightning fast and fully multi-player (both AI and humans)
fancy_pantser··on Confessions of a Long-Distance Sailor
I've always wished the program was called Lutus Notes.
fancy_pantser··on Postmortem for Kernel Soundness Bug #14576
One can only trust a verifier as far as they can trust anything made out of software.
fancy_pantser··on SpaceX Starship Flight 13 livestream [video]
Worth it to prove the pez dispenser deployed them correctly? Small % of the total launch cost.
fancy_pantser··on SpaceX Starship Flight 13 livestream [video]
Based on v1 satellite cost estimates, under $5MM for 20. It was v3 sats, don't know the cost on those yet.
fancy_pantser··on AI: The ROI Runway Could Be Long Outside the Tech Sector
Not who you asked, but if you're looking for a rec, I've been using GLM and Deepseek models through Deepinfra because the prices are decent for US-based deployments and there's acceptable throughput and policy/terms. I'd love to find another that lowers prices over time when they roll out e.g. multi-token prediction instead of just taking a larger margin, but I don't know of any today.
fancy_pantser··on Robinhood now lets your AI agents trade stocks
Alas, many financial models do well in backtests and then fail in the real world. You have to expose them to all kinds of market conditions and not just the recent one. Good luck out there!
fancy_pantser··on Robinhood now lets your AI agents trade stocks
You can use backtesting instead of waiting a month.
fancy_pantser··on GitLab announces workforce reduction and end of their CREDIT values
Maybe there was more in the context before that question? I just copy-pasted that question into Opus 4.7 and it replied:

    Yes. A RimWorld year is 60 days, split into four 15-day quadrums (Aprimay, Jugust, Septober, Decembary), each corresponding to a season.
fancy_pantser··on Redis array: short story of a long development process
I think where we went wrong in understanding this PR is in the assumption that it's designed to invite review because that's how a lot of other team- or community-driven projects work.
fancy_pantser··on Redis array: short story of a long development process
Thanks, I think I'm all caught up now. The timeline is like this if I understand correctly: your successors (Yossi Gottlieb and Oran Agra) explicitly announced a new governance model in 2020, saying the project had "outgrown the BDFL-style of management" and that they wanted to "promote more teamwork and structure". With the relicensing in 2024, however, external contributors with five or more commits to Redis dropped to zero in the first six months (basically, community contribution collapsed). In late 2024, you came back in the role of "Redis evangelist" and a year ago there was an additional licensing change, adding AGPLv3 as an option (8.0's tri-license). So now redis has your steady hand on the wheel again.

I was confused because the last time I checked on things, it was still about fostering community input and advancement but not necessarily consensus. Things have tipped back in the original direction since then. I don't think "Redis was completely built in this way since the start" is completely accurate, but also the community effort under the new governance model never got very deeply entrenched while you were away.

fancy_pantser··on Redis array: short story of a long development process
I think the point GP is making is this is a PR that smells like a solo dev working on their own project and not how a community-driven project adds major new functionality, although I'm sure there are docs and descriptions (or at least a discussion of tradeoffs and design decisions if not ADRs) are somewhere, but not linked handily to the PR. There is a lot of explanation in the blog post and PR, but it's unilateral-looking.

c.f. valkey and others

fancy_pantser··on Muse Spark: Scaling towards personal superintelligence
It's looking rather low on reasoning and long-range problems with the approach described. For example, even with 16 agents and compaction, the HLE score is significantly below Anthropic's Mythos. Like you, I can see the release as a net Good Thing, but apples-to-apples for each org's latest models do have Meta holding steady in the middle pack.
fancy_pantser··on GLM-5.1: Towards Long-Horizon Tasks
let me see Tayne with a hat wobble
fancy_pantser··on Mercor says it was hit by cyberattack tied to compromise LiteLLM
I am not disagreeing with your main point, but want to clarify that SOC2 is not an individual certification that a person achieves.
fancy_pantser··on Even faster asin() was staring right at me
The compiler can substitute the value how it sees fit. It's like #define, but type-safe and scoped.

Maybe it's folded into expressions, propagated through constant expressions, or used it in contexts that require compile-time constants (template parameters, array sizes, static_assert, other constexpr expressions).

I mean, not in this case of pi/2, where it's more about announcing semantics, but in general those are the purposes and uses.

fancy_pantser··on The changing goalposts of AGI and timelines
It's along the same lines, but an NSL can be challenged in court (the FISC is a secret and lopsided court, alas). Companies like Apple and Google have fought specific orders publicly (and possibly some secretly), and some have won.

NSLs are also narrow in scope: they compel data disclosure, not active technical assistance in building surveillance systems like the Chinese law.

The Chinese laws can compel any citizen anywhere in the world to perform work on supporting state military and intelligence capabilities with no recourse. There have been no cases of companies or individuals fighting those orders.

fancy_pantser··on The changing goalposts of AGI and timelines
It's explicitly illegal in China.

A 2017 national intelligence law compels Chinese companies and individuals to cooperate with state intelligence when asked and without and public notice.

China has no equivalent of the whistleblower protection that enables resignations with public letters explaining why, protests, open letters with many signatures, etc. Whenever you see "Chinese whistleblower" in the news, you're looking at someone who quietly fled the country first and then blew the whistle. Example: https://www.cnn.com/2026/02/27/us/china-nyc-whistleblower-uf...

fancy_pantser··on Why XML tags are so fundamental to Claude
CSS word-break property
fancy_pantser··on Rob Grant, creator of Red Dwarf, has died
This is a perfect Tommy Saxondale story.
fancy_pantser··on Google restricting Google AI Pro/Ultra subscribers for using OpenClaw
have you tried Kagi?
fancy_pantser··on Ggml.ai joins Hugging Face to ensure the long-term progress of Local AI
Was Georgi ever approached by Meta? I wonder what they offered (I'm glad they didn't succeed, just morbid curiosity).
fancy_pantser··on My wife calls me, panicked
...or just ask something only they would know? takes no coordination, works even in a stressful situation, and you can always follow up with more
fancy_pantser··on Ask HN: Anyone else struggle with how to learn coding in the AI era?
This is great advice and will give a good background in programming that mirrors what you would learn in a CS program.

I'd also like to suggest studying the practical side of building software that many university programs don't spend much time on. To help address this gap, John Ousterhout wrote A Philosophy of Software Design. He has retired from teaching, but captured the hard-won lessons in the book.

This type of book offers the perspective I wish I had developed more before working in software teams early on, as it would have made me a more valuable developer right off the bat. Instead, I went deep on architecture patterns and language theory, becoming somewhat insufferable to my peers (who were very tolerant and kind in return!) for the first few years. 20 years later, I can see that I was trying to hammer a CS "peg" into a business-software-shaped hole :)

fancy_pantser··on Kimi K2.5 Technical Report [pdf]
Sure. Someone on /r/LocalLLaMA was seeing 12.5 tokens/s on dual Strix Halo 128GB machines (run you $6-8K total?) with 1.8bits per parameter. It performs far below the unquantized model, so it would not be my personal pick for a one-local-LLM-forever, but it is compelling because it has image and video understanding. You lose those features if you choose, say, gpt-oss-120B.

Also, that's with no context, so it would be slower as it filled (I don't think K2.5 uses the Kimi-Linear KDA attention mechanism, so it's sub-quadratic but not their lowest).

fancy_pantser··on In 6 violent encounters, evidence contradicts immigration officials' narratives
Yeah but now Jon Stewart only does one day a week.
fancy_pantser··on Which AI Lies Best? A game theory classic designed by John Nash
It's a fun setup that quickly devolves into the Shakespearian! The plots don't always work, but seeing their reasoning get increasingly complex is interesting.

"When that the poor have cried, Caesar hath wept. Ambition should be made of sterner stuff. Yet Brutus says he was ambitious... and Brutus is an honourable man.

fancy_pantser··on We put Claude Code in Rollercoaster Tycoon
Zed Editor gives the LLM tools that use the LSP as you'd expect as a normal IDE user, like "go to symbol definition" so it greps a lot less.
fancy_pantser··on OLED, Not for Me
I use smaller fonts as well and when I first got an older OLED display with a pixel layout not supported by Windows ClearType, I used BetterClearTypeTuner and later MacType to adjust it. It was leagues better after tweaking a few settings and I'm very happy with text now, even on my AW3425DW, which has an older layout they moved on from in recent generations.
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