nostrebored

7 ms·

1.
by nostrebored 6d ago
what benefit do they get from making the statement? they could just say nothing. saying it and having it be untrue opens them to legal issues that are not worth the risk for this nothingburger.
2.
by nostrebored 7d ago
That’s a good question! A mix of both. There are definitely people who see it as a step on their validation treadmill. Most people want to make money. But a lot of people are just techno optimists who think they can do something.
3.
by nostrebored 7d ago
Huge amounts of insolvency is due to supporting this failed urban planning experiment. Urban centers are significantly more economically productive and significantly less expensive. Carism leads people into this trap when they should be adv
4.
by nostrebored 7d ago
From what I’ve been able to read it seems like it was a net positive public health intervention that’s been horribly dramatized.
5.
by nostrebored 8d ago
latency, instruction adherence, reliable tool cools, conversationality are all in tension. it's great when you can get a 170ms ttft. but if you have 700 ms endpointing on the stt side and 300ms ttfb on the voice side, then you haven&#x
6.
by nostrebored 8d ago
Having been through YC, there's certainly some of this, but the overwhelming majority of founders were pretty down to earth. People generally just want to solve hard problems.
7.
by nostrebored 10d ago
The objective of most large scale post training i am aware of is not to make think traces or to make them “more English and answer aligned”. It’s to achieve a result. That’s why I am calling it incidental
8.
by nostrebored 10d ago
Lesswrong is just so comically collectively incorrect. This makes no sense. There is no guarantee that reasoning aligns with an outcome. Reasoning is effectively saying with more compute and ability to change attention on the fly by alterin
9.
by nostrebored 12d ago
Celeris reaches ~50% of the speed on commodity hardware. celeris-magnus-1 is based on qwen3.8-27b. Maybe we will get there without custom silicon!
10.
by nostrebored 13d ago
z3 is also just so thoroughly optimized that even if your formulation of the constraints is inefficient it is faster. it is a great library that lets you solve pretty complicated DP problems with a few dozen lines of code.
11.
by nostrebored 13d ago
in my last tests with cerebras for coding tasks, most large tasks or anything greenfield would hit token limits. note that smaller models and the gpt-oss-120b style models they used to run are very prone to overthinking, so individual turns
12.
by nostrebored 13d ago
iirc input (uncached) goes towards the limit as well
13.
by nostrebored 13d ago
150k TPM limit on public endpoint means that it's likely unusable for many coding tasks. When we've tried Cerebras in the past, our problem has always been rates. We'd love to not deal with dedicated and to have access to a m
14.
by nostrebored 15d ago
As someone who grew up below the poverty line for much of my life — 2x the poverty line seemed like wealth to me. There are absolutely people getting by on “feels like” 50k a year. There are not really frills, but in terms of “have shelter
15.
by nostrebored 20d ago
Maybe we’re doing different things or in different regions, but I rarely see pay with PayPal now.
16.
by nostrebored 21d ago
People are not as capable as you think they are and software engineering (well) is actually difficult. You cannot just push more people in. People are not fungible.
17.
by nostrebored 21d ago
Many Amazon teams have had high expectations for work. The stories I’ve heard have largely been around how AI is used, slipping CR standards, and what is funded.
18.
by nostrebored 21d ago
1/ Training is only effective if you can fill the function of the job and learn from it. Many software engineering jobs people claim are stolen by H1B hires are filled by human beings more likely to meet the bar. Many American candidat
19.
by nostrebored 21d ago
Having worked at a few large companies, this was the case at all of them. I do think there is a messy middle of companies built on vibes.
20.
by nostrebored 21d ago
AWS in large pockets was not a mess 10 years ago. The things I hear from recent AWS departures are very concerning.
21.
by nostrebored 21d ago
Some of the largest, highest TPS, highest throughput systems in the world use DDB. The constraints are what let this happen. Unconstraining it might make a better generalist product but part of what you're opting into with DDB is the d
22.
by nostrebored 23d ago
There’s something odd about the concentration of true believers in ai xrisk and climate change catastrophism. They are both technopessimist in a way that is seen as progressive. Stopping progress in AI would make people’s lives immeasurably
23.
by nostrebored 25d ago
What do you mean by this? It certainly sounds technical but it seems to not mean anything. MCP has not smoothed over legacy cruft, and it is generally bad at exactly what you’re describing (many unintentionally coupled APIs with unintention
24.
by nostrebored 25d ago
Enterprises have been managing thousands of http endpoints for decades now. It is not easier. It would have been easier to have something swaggeresque that lives at the openapi spec layer but that’s not cool and AI. What is not hard to unde
25.
by nostrebored 25d ago
Your stateful remote execution needs a stateful tool middleware for your stateful agent, just to make sure that it’s impossible to test or evaluate
26.
by nostrebored 28d ago
rg CLAUDE.md > refactor_hits.txt claude -p "@refactor_hits.txt support either CLAUDE.md or AGENTS.md in each location. if they both exist, prefer CLAUDE.md and do not concatenate"
27.
by nostrebored 29d ago
prediction: extension of promotions because of the progressive move to codex.
28.
by nostrebored 1mo ago
The idea of distance thresholding models that are trained to satisfy an ordering constraint is a bit strange. The reason it's hard is that there isn't a threshold! You can slice and dice it a ton of different ways, but the signifi
29.
by nostrebored 1mo ago
Professors have no reputation for writing good code. Academic code is fairly notorious for being under abstracted, hard to follow, messy, etc. If a passerby told me this story I’d have the same guess though!
30.
by nostrebored 1mo ago
why?

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