sarreph

6 ms·

91.
by sarreph 3mo ago
From the article, it's for "jobs in sectors like agriculture and construction". Would be interesting to learn about how this kind of work is managed in hotter climates. For office work, a lot of European countries (especially
92.
by sarreph 3mo ago
Sure: > he was essentially groomed from a young age > It's one thing to choose a poor work-life balance for oneself; a different thing entirely to demand it of others > Jarred was a stinky manager
93.
by sarreph 3mo ago
It's hard, in my opinion, to lend credence to the author here when they decided to devote the first and largest section of their article to an incisive display of speculative ad hominem. Would have been a great opportunity to outline t
94.
Cloudflare Wrangler CLI auth profiles support(developers.cloudflare.com)
2 points by sarreph 3mo ago|0 comments
95.
Show HN: Pokayoke – turn repo conventions into deterministic checks for agents(pokayoke.codes)
1 points by sarreph 3mo ago|0 comments
96.
by sarreph 4mo ago
481 upvotes on HN, and only $136 USD donated (out of $64k target) -- at the time of writing. Given the amount of traffic this project has received by being at the top of the front page for half a day, one has to wonder if a different approa
97.
by sarreph 4mo ago
I’ve done it in one of my projects here using Drizzle, and it’s worked fine in testing so far. https://github.com/rorz/manual.email/blob/main/packages/db/s...
98.
by sarreph 4mo ago
I disagree if your application is networked. Most SaaS is built on RESTful APIs that can be converted trivially into interfaces / contracts for tool use.
99.
The "Super Weight:" How a Single Param Can Determine an LLM's Behavior (2025)(machinelearning.apple.com)
2 points by sarreph 4mo ago|0 comments
100.
by sarreph 4mo ago
The author alludes to it but the defence to this is seemingly insurmountable at the moment because we’re ostensibly operating LLMs on a single channel — their inner, subconscious voice. Right? Interacting with an LLM is a bit like seeing th
101.
by sarreph 4mo ago
I think something that is a mix between localStorage or IndexedDB and access to the user's filesystem would be better. I agree with the comments about how much of a security risk this poses. But, isn't that the case with any binar
102.
by sarreph 4mo ago
My friend and I have been working on a game: Dozenal. It’s a number puzzle game (with daily challenges) where you have to combine different mathematical operations to fill a grid with “12”s. https://dozenal.xyz It’s still an MVP
103.
by sarreph 4mo ago
Amazing, thank you Simon! Look forward to reading.
104.
by sarreph 4mo ago
I had intended to caveat that: I'm sure I'm not the first person to ask about this! > you still see improvements This is expected if they are training their models on it, right? > objectively-bad results Keen to learn when
105.
by sarreph 4mo ago
I'm beginning to wonder how much of a useful metric the pelican is because surely the frontier labs must be training their models on pelican-artistry because of how well known your test is now?
106.
by sarreph 4mo ago
> If there isn't already. There is![0] [0] - https://news.ycombinator.com/item?id=10178989
107.
Show HN: Pokayoke – deterministic guardrails for agentic coding(pokayoke.codes)
3 points by sarreph 4mo ago|0 comments
108.
Why is Lidl opening a pub?(bbc.co.uk)
5 points by sarreph 4mo ago|0 comments
109.
by sarreph 5mo ago
I agree with the author that -- right now -- we're still in the part of the AI adoption / product development curve that it's an extreme force multiplier. I like to think of it as a normal distribution, the further away a pro
110.
by sarreph 5mo ago
Discussed here (2 days ago): https://news.ycombinator.com/item?id=48177785
111.
by sarreph 5mo ago
Pete Koomen wrote about this phenomenon (“horseless carriages” instead of “steam horses”) here: https://koomen.dev/essays/horseless-carriages/
112.
by sarreph 5mo ago
I think this is one of the key takes right now. I too have similar experience. Which way is it going to go? i) “Seniors” also get superseded by even more capable models that can do all of the things which currently require experience. ii) L
113.
by sarreph 5mo ago
I guess that argument can go on forever though -- how do we know if _anyone_ is doing the right thing they're "supposed" to be doing / disrupting?
114.
Yabasic (Yet Another Basic)(en.wikipedia.org)
18 points by sarreph 5mo ago|0 comments
115.
Show HN: An AI generated, online art exhibition(whatwesee.space)
1 points by sarreph 5mo ago|0 comments
116.
by sarreph 5mo ago
It is a pity that you can't make an experimental commit on an experimental branch without igniting a fire of delirium through some people who -- if they were able to put their emotional response aside for a minute and could weigh this
117.
by sarreph 6mo ago
I've been working on an adjacent problem (extracting website branding data from a URL) for the past year, and previously had to rely on procedural techniques such as these -- props to the author! However, models are now getting to the
118.
by sarreph 6mo ago
The bakery example is interesting, because it's presented as "both sides have been working on this thing and think they should get 50%"... and then the _solution_ is "A path back to 50% for Daniel" -- who gets an ob
119.
by sarreph 6mo ago
> This looks bad for Microsoft. Maybe(?) from a product catalogue perspective... But from a strategic perspective less so because they own ~27% of OpenAI.[0] [0] - https://openai.com/index/next-chapter-of-microsoft-o
120.
by sarreph 6mo ago
The irony.

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