roadside_picnic

10 ms·

91.
by roadside_picnic 11mo ago
> You make an LLM decision tree, one LLM call per policy section, and aggregate the results. I can never understand why people jump to these weird direct calls to the LLM rather than working with embeddings for classification tasks. I ha
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by roadside_picnic 11mo ago
Larger scale war happens when the lives of young people are more valuable as fodder for the war machine than in a field or behind a desk.
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by roadside_picnic 11mo ago
> Just thinking maybe we're not seeing the end of software engineering for those of us already in it—but the door might be closing for anyone trying to come up behind us. It's worth considering how aggressively open the door
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by roadside_picnic 11mo ago
The principle applies to a world where people work in offices doing serious long term R&D work. The quote is entirely irrelevant to people in working open offices for projects that change direction quarterly building features designed
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by roadside_picnic 11mo ago
I had an office with a door multiple times in my (early) career. An open office door is a universe away from sitting in an open office. Even when everyone has their doors open, a true office setup allows for plenty of focus. On top of that
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by roadside_picnic 11mo ago
I love Richard Hamming but > But 10 years later somehow you don’t know quite know what problems are worth working on Is clearly a quote from a different era. Not only have most engineers I've known never had a tenure at a job close
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by roadside_picnic 11mo ago
> Throughout hundreds-to-thousands of years of history your options have been You might want to brush up on your anthropology a bit.
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by roadside_picnic 11mo ago
> Pre-covid - an entire working team is clustered in the same office Just a reminder that there were plenty of great distributed teams long before Covid. I had had only a few "in office" jobs in my pre-covid career (and general
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by roadside_picnic 11mo ago
> What's the benefit of working remote from your team but next to random, noisy people? The illusion of control? I mean we can pretend we don't know what this is about (well it's probably also about encouraging a reduction
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by roadside_picnic 11mo ago
I honestly think it's more about "things that look better on instagram" that has infected virtually every hospitality related experience I've had in the last few years. A room that photographs well or a meal that looks r
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by roadside_picnic 11mo ago
There's no worship here on my part (in fact I got out of the AI space because was increasingly less about tech/solving problems, and more about pure hype), but my experience in this industry has been that the most dystopian path t
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by roadside_picnic 11mo ago
> It also estimates that LLM companies will capture 2% of the digital advertising market, which seems kind of low to me. I'm not super bullish on "AI" in general (despite, or maybe because of working in this space the last
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by roadside_picnic 11mo ago
> (n - 1) It's also funny that one would write their own standard deviation function and include Bessel's correction. Usually if I'm manually re-implementing a standard deviation function it's because I'm afrai
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by roadside_picnic 11mo ago
> that's not real-world coding It's pretty clear the post is focused on the context of work being done in an academic research lab. In that context I think most of the points are pretty valid, but most of the real world benefit
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by roadside_picnic 11mo ago
So I've been writing Python for around 20 years now, and doing data science/ML work for around 15. Despite being a Python programmer first I spent a good 5 years using R exclusively. There's a lot of things I genuinely love a
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by roadside_picnic 11mo ago
HN is heavily biased towards silencing any content that makes any subset of its readership uncomfortable. This policy exists under the mistaken (I hope) assumption that silence is not fundamentally biased, which is usually not the case. P
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by roadside_picnic 11mo ago
Funnily enough I was just reading an article about this and "my boyfriend is AI" is the tamer subreddit devoted to this topic because apparently one of their rules is that they do not allow discussion of the true sentience of AI
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by roadside_picnic 11mo ago
Before LLMs/AI became the obvious "next big thing in computing" I remember coming across a fair number of opportunistic devs on LinkedIn trying to promote themselves as "quantum software engineers", and even a just
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by roadside_picnic 11mo ago
I used to be really excited about "agents" when I thought people were trying to build actual agents like we've been working on in the CS field for decades now. It's clear now that "agents" in the context of &
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by roadside_picnic 11mo ago
> a holy grail of energy production Since you're comparing it to nuclear, I'm assuming you mean electricity production here, not energy production? It's always worth remembering that electricity only accounts for ~20%
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by roadside_picnic 11mo ago
It's easy to blame Trump/MAGA if you refuse to recognize that many of the same companies producing these vaccines also played a major role in fueling the current opioid crisis which is coincidentally disproportionately impacting t
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by roadside_picnic 11mo ago
Technically a Venn diagram's entire point is to visualize all possible set relations between N sets. Their "practical" use is explicitly visualizing this. In popular terminology they are very often confused with Euler Di
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by roadside_picnic 11mo ago
For a few months of news this works, but over the span of years even the statistical nature of language drifts a bit. Have you shipped natural language models to production? Even simple classifiers need to be updated periodically because
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by roadside_picnic 11mo ago
> and hardware just vanish. Okay, this tells me you really don't understand model serving or any of the details of infrastructure. The hardware is incredibly ephemeral . Your home GPU might last a few years (and I'm starting t
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by roadside_picnic 11mo ago
So you're assuming there's a world where these companies exist solely by providing inference? The first obvious limitation of this would be that all models would be frozen in time. These companies are operating at an insane loss
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by roadside_picnic 11mo ago
Parent comment never said operating inference at a loss, though it wouldn't surprise me, they just said "operating at a loss" which they most definitely are [0]. However, knowing a few people on teams at inference-only prov
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by roadside_picnic 11mo ago
> Every startup begins with lots of debt and little revenue and a all in bet that it’ll change. Sam’s company unsurprisingly follow same playbook This reads like an intentional misunderstanding of the general concerns around this current
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by roadside_picnic 1y ago
I'm sure this post will be gone in another few minutes. I do think, in general, people are increasingly feeling a mismatch between what they're being told people feel on social media and what people in irl feel. However, there is
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by roadside_picnic 1y ago
> an interesting product launch This looks less like an "interesting" product, and more like a case of pivoting a commercial product that isn't making enough money into an open source one in the hope of at least gaining so
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by roadside_picnic 1y ago
> high IVs. You’re paying for that. Glad to see someone say it. A lot of people have a hypothesis about the market, but fail to do the follow through to see if the market has already priced that in . The real aim should be to see when y

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