yetanotherjosh

10 ms·

1.
by yetanotherjosh 17d ago
In a very real sense this is exactly what LLM watermarking does. It "chooss the words carefully" in order to get text to "line up," but not with a visible margin... instead with a verifiable word distribution that proves
2.
by yetanotherjosh 29d ago
I've hopelessly lost track of the "vm for agents, typically with a handy CLI for people also" space. Fly.io sprites. Modal. Blaxel. Morph. Daytona. Runloop. Ascii Box... I'm surely only scratching the surface. Then there
3.
by yetanotherjosh 1mo ago
Can someone explain how this actually can go faster than other harnesses? 1. Model routing. Do you regret giving a task to Fable when it could have literally been done by Sonnet? This is the one thing that I can understand. 2. Targeted code
4.
by yetanotherjosh 1mo ago
My brain can't tell if the text is horizontal or slightly rotated. It's very hard to read. Beautiful to some, inaccessible to others.
5.
by yetanotherjosh 1mo ago
Yes, but we're speaking in English. If the definition of a same-sounding word changes in another language, it doesn't invalidate a point made within a language. It's fundamentally incorrect to say a standard billion is ever,
6.
by yetanotherjosh 1mo ago
10^9 is the standard definition of a billion, it's very wrong to call 10^12 a "standard billion." You can say "long scale billion" if you want to refer to the definitively non-standard 10^12 billion.
7.
by yetanotherjosh 2mo ago
I'm not sure what kind of point you're trying to make. There are projects to train competent modern LLMs in which the entire pipeline (data, training process, final weights) is all completely transparent, shared, and reproducible
8.
by yetanotherjosh 2mo ago
Olmo 3? K2 V2? There are definitely LLMs with very compelling capabilities where the dataset, training process, and final weights are all open. There are also initiatives in the EU and various national government levels (e.g. Switzerland) t
9.
by yetanotherjosh 2mo ago
I experience this too, but the danger is is making assumptions based on "tells" which might just be how the user wrote the post. It's a situation now where if someone authentically writes something, but happens to rub up agai
10.
by yetanotherjosh 2mo ago
The real problem is not terms like "load-bearing," which communicate clearly enough. It's the constant invention of cryptic shorthand terms and phrases that have no referent, and end up acting like a puzzle to be decoded. Thi
11.
by yetanotherjosh 2mo ago
There is nothing called "GPT5.5 Codex" unless I've completely misunderstood OpenAI's product line? Codex is a harness, while GPT-5.5 is a model. The last codex-branded model was 5.3. Codex as a harness ships as a CLI, a
12.
by yetanotherjosh 3mo ago
Kinda reads to me like: "I'm not worried about prompt injection anymore because I setup a test where my agent could just ignore the input channel as noise, and a bunch of comically simple attacks thrown at it didn't succeed.
13.
by yetanotherjosh 3mo ago
Well said. This experiment is extremely unrealistic and gave the model the opportunity to simply refuse to deal with the channel outright. If he had built it to be a functional agent that depends on real interaction via email and occasional
14.
by yetanotherjosh 3mo ago
From the article: > LongMemEval rewards recovering literal witnesses: exact dates, counts, preferences, and spans that often remain stable under tokenization. Is this saying they chose a benchmark that is biased towards doing well agains
15.
by yetanotherjosh 4mo ago
How is this not a Github P0? Can anyone explain? When I read that, I thought they must be using 'fork' wrong, and actually mean branch on the official repo, as that can't be right!?" Good lord.
16.
by yetanotherjosh 9mo ago
I practiced the Buteyko method for many years when I was in states of high anxiety and frequent panic attacks, and it was incredibly helpful. I had a syndrome called new daily persistent headache, which means a sudden-onset headache that be
17.
by yetanotherjosh 9mo ago
Buteyko practioners build up the ability to work very hard while only nasal breathing over the long term. The point is to learn to modulate breathing in a way that keeps a certain kind of blood chemistry (CO2 levels) and cellular oxygenatio
18.
by yetanotherjosh 9mo ago
I struggle to understand what this specifically has to do with rails or global IDs. In ANY framework or query system, if you are asking an LLM to produce IDs which you are then passing to a database for lookup, you need to understand those
19.
by yetanotherjosh 9mo ago
I don't understand how code review would catch this. The extension advertises itself as an AI protection tool, that monitors your AI interactions. The code is basically consistent with the stated purpose. That it doesn't stop coll
20.
by yetanotherjosh 10mo ago
So you can get native behaviors when it’s critical. Like share sheets, push and many other critical features that only apps get even if the bulk of the experience can be done in a webview. This is because mobile OS platforms choose not to
21.
by yetanotherjosh 11mo ago
.95 is quite generous here
22.
by yetanotherjosh 1y ago
Yes "good" caching - a consistent storage interface - is an abstraction over "bad" caching - multiple different storage interfaces with different speeds. But caching overall is not an abstraction over not having caching.
23.
by yetanotherjosh 1y ago
Why?
24.
by yetanotherjosh 1y ago
Astroturfing alert. This comment author is also the author of cursor-agent-tools.
25.
by yetanotherjosh 2y ago
ollama is stating there's a difference: https://ollama.com/library/deepseek-r1 "including six dense models distilled from DeepSeek-R1 based on Llama and Qwen. " people just don't read? not sure ther
26.
by yetanotherjosh 2y ago
don't confuse the actual R1 (671b params) with the distilled models (the ones that are plausible to run locally.) Just as you shouldn't conclude about how o1 behaves when you are using o1-mini. maybe you're running the 671b m
27.
by yetanotherjosh 2y ago
"Looking cool" IS a component of UX. UX includes the user's emotional experience of using the product. It is 100% acceptable to do something for UX that is otherwise bad "UI". While you talk about UX here, you reall
28.
by yetanotherjosh 2y ago
So this identifies keys from source and target objects that are fuzzy synonyms and copies the values over. What is a real world use case for this? Add the fact that it's fuzzy and won't always work, so would require a great deal o
29.
by yetanotherjosh 2y ago
It seems to me that the "knowledge graph" generated in this article is incredibly naive and not comparable to the process in the MS paper, which requires multiple rounds of preprocessing the source content using LLMs to extract, s
30.
by yetanotherjosh 3y ago
A key part of avoiding MITM is to get the values from an authoritative origin, not comments on HN, so the link is here: https://docs.github.com/en/authentication/keeping-your-accou... Yes, this assumes the github-

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