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logsr commented on Private Equity Finds a New Source of Profit: Volunteer Fire Departments   nytimes.com/2025/12/14/us... · Posted by u/7402
raw_anon_1111 · 2 days ago
My attitude is “despicable” by my saying “take my federal and state tax dollars and help communities so they can pay for firefighters and equipment”?
logsr · 2 days ago
they aren't "your" federal and state tax dollars. if you want to privately provide welfare for PE out of your own pocket, go ahead, but leave the public's tax dollars out of it.
logsr commented on Private Equity Finds a New Source of Profit: Volunteer Fire Departments   nytimes.com/2025/12/14/us... · Posted by u/7402
websiteapi · 2 days ago
It's strange that this software isn't actually provided by the government to begin with. Quickly checking eso.com, most of their use cases are governmental to begin with.

what I don't get is the government collectively would save money just making it themselves.

logsr · 2 days ago
looking at ESO's homepage their main pitch is around NERIS compliance (https://www.usfa.fema.gov/nfirs/neris/) so it looks like this is a case of regulatory capture forcing fire departments to buy new software. An obvious solution here is that any government mandated information system must come with an open source implementation that guarantees compliance.
logsr commented on Private Equity Finds a New Source of Profit: Volunteer Fire Departments   nytimes.com/2025/12/14/us... · Posted by u/7402
raw_anon_1111 · 2 days ago
So tell me why should I spend my time helping cities whose population are too cheap to fund necessary infrastructure? The article pointed out that firefighters are being forced to fundraise just to get their physical equipment fixed.

These same “rural departments” are in areas that claim to hate “big government” and are anti tax and aren’t willing to fund essential services and vote for national politicians who are defunding programs that could help them.

Yes I would be all in favor of my federal tax dollars being redirected to rural areas whose taxpayers can’t fund firefighters so they don’t have to fundraise to buy equipment.

logsr · 2 days ago
despicable attitude completely detached from reality. volunteer fire fighting services provide critical public services across broad sparsely populated areas of the United States and those volunteer services benefit everyone by preventing wild fires that threaten everyone. this kind of PE activity is parasitic and directly threatens lives and property by diminishing emergency response capacity. bad business to be in. it will get shut down very quickly.
logsr commented on Building a Modern C64 Assembly AI Toolchain   medium.com/@gianlucabailo... · Posted by u/094459
logsr · 2 days ago
amazing work!
logsr commented on Anthropic acquires Bun   bun.com/blog/bun-joins-an... · Posted by u/ryanvogel
creata · 14 days ago
> Node is built with much more of the system implemented in JS, so it is architecturally incapable of the kind of performance Bun/uWebsockets achieves

That sounds like an implementation difference, not an architectural difference. If they wanted to, what would prevent Node or a third party from implementing parts of the stdlib in a faster language?

logsr · 13 days ago
uWebsockets, which is the foundation of the network and http server stack in Bun, as I understand it, is a compatible 3rd party extension to Node.js that gives it similar performance on HTTP implementation.

The key architectural difference is that Node.js implements the HTTP stack and other low level libraries in JavaScript, which gives it memory safety guarantees provided by the v8 runtime, while Bun/uWebsockets are a zig/C++ implementation. for Node.js, which is focused on enterprise adoption, the lower performance JS approach better aligns with the security profile of their enterprise adoption target.

logsr commented on Anthropic acquires Bun   bun.com/blog/bun-joins-an... · Posted by u/ryanvogel
munificent · 14 days ago
With AI tooling, we are in the era where rapid iteration on product matters more than optimal runtime performance. Given that, implementing your AI tooling in a language that maximizes engineer productivity makes sense, and I believe GC does that.
logsr · 14 days ago
JS/TS has a fundamental advantage, because there is more open source JS/TS than any other language, so LLMs training on JS/TS have more to work with. Combine that with having the largest developer community, which means you have more people using LLMs to write JS/TS than any other language, and people use it more because it works better, then the advantage compounds as you retrain on usage data.
logsr commented on Anthropic acquires Bun   bun.com/blog/bun-joins-an... · Posted by u/ryanvogel
krig · 14 days ago
> Prior to Bun, there was little focus on performance.

This is just completely insane. We went through more than a decade of performance competition in the JS VM space, and the _only_ justification that Google had for creating V8 was performance.

> The V8 engine was first introduced by Google in 2008, coinciding with the launch of the Google Chrome web browser. At the time, web applications were becoming increasingly complex, and there was a growing need for a faster, more efficient JavaScript engine. Google recognized this need and set out to create an engine that could significantly improve JavaScript performance.

I guess this is the time we live in. Vibe-coded projects get bought by vibe-coded companies and are congratulated in vibe-coded comments.

logsr · 14 days ago
> Vibe-coded projects get bought by vibe-coded companies

this is so far from the truth. Bun, Zig, and uWebsockets are passion projects run by individuals with deep systems programming expertise. furthest thing from vibe coding imaginable.

> a decade of performance competition in the JS VM space

this was a rising tide that lifted all boats, including Node, but Node is built with much more of the system implemented in JS, so it is architecturally incapable of the kind of performance Bun/uWebsockets achieves.

logsr commented on Anthropic acquires Bun   bun.com/blog/bun-joins-an... · Posted by u/ryanvogel
jjordan · 14 days ago
I don't really see how Bun fits as an acquisition for an AI company. This seems more like "we have tons of capital and we want to buy something great" than "Bun is essential to our core business model".
logsr · 14 days ago
Claude Code running on Bun is an obvious justification, but Buns features (high performance runtime, fast starts, native TS) are also important for training and inference. For instance, in inference you develop a logical model in code that maps to a reasoning sequence, and then execute the code to validate and refine the model, then use this to inform further reasoning. Bun, which is highly integrated and highly focused on performance, is an ideal fit for this. Having Bun in house means that you can use the feedback from all of automation driven execution of Bun to drive improvements to its core.
logsr commented on OpenAI declares 'code red' as Google catches up in AI race   theverge.com/news/836212/... · Posted by u/goplayoutside
rappatic · 15 days ago
> the company will be delaying initiatives like ads, shopping and health agents, and a personal assistant, Pulse, to focus on improving ChatGPT

There's maybe like a few hundred people in the industry who can truly do original work on fundamentally improving a bleeding-edge LLM like ChatGPT, and a whole bunch of people who can do work on ads and shopping. One doesn't seem to get in the way of the other.

logsr · 14 days ago
There are two layers here: 1) low level LLM architecture 2) applying low level LLM architecture in novel ways. It is true that there are maybe a couple hundred people who can make significant advances on layer 1, but layer 2 constantly drives progress on whatever level of capability layer 1 is at, and it depends mostly on broad and diverse subject matter expertise, and doesn't require any low level ability to implement or improve on LLM architectures, only understanding how to apply them more effectively in new fields. The real key thing is finding ways to create automated validation systems, similar to what is possible for coding, that can be used to create synthetic datasets for reinforcement learning. Layer 2 capabilities do feed back into improved core models, even if you have the same core architecture, because you are generating more and improved data for retraining.

u/logsr

KarmaCake day52January 22, 2025View Original