0xcafefood

5 ms·

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by 0xcafefood 1mo ago
Cool! In that case, let me ask you: what books would you recommend on the topic?
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by 0xcafefood 1mo ago
> often Exodus goes from narrative to descriptions of genealogy tree in modern translations I think you were emphasizing something beside this, but if you want to know _why_ the five Books of Moses often jump suddenly into genealogy or m
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by 0xcafefood 1mo ago
So GPU-backed securites sliced into tranches to improve ratings?
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Jensen Huang tells CNBC his chips are 'investable asset'(cnbc.com)
4 points by 0xcafefood 1mo ago|3 comments
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by 0xcafefood 2mo ago
Why would Cloudflare do that? They shouldn't help bad actors.
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by 0xcafefood 2mo ago
That seems like such an easy thing to estimate with a bit of basic napkin math.
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by 0xcafefood 2mo ago
I thought walled towns died not due to state authority becoming stronger, but because offensive weaponry simply became effective enough to overcome walls. Walls can protect you from men with swords, but not from heavy artillery or bombers.
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Volkswagen to cut 15% of workforce, close four German plants(cnbc.com)
6 points by 0xcafefood 3mo ago|5 comments
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by 0xcafefood 3mo ago
https://www.inc.com/fast-company-2/oracle-ai-boom-hidden-deb... goes into more detail about this same issue.
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by 0xcafefood 5mo ago
It's not really "lucky" to have a sense of identity outside of work. The opposite is just unhealthy, even if common.
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by 0xcafefood 6mo ago
People have been thinking about that a long time though. For that objective, LLMs don't seem to open up any new capabilities. If that problem could be solved, with really clean abstractions that dramatically reduce context needed to un
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by 0xcafefood 6mo ago
> no amount of "fix this slop" prompting can fix AI prose What's the proof for that? What fundamental limitation of these large language models makes them unable to produce natural language? A lot of people see the high li
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by 0xcafefood 6mo ago
Because it is. Microsoft, Google, Anthropic, etc. all aim to own software production capabilities. It's quite clear. Using free software and not giving away ones own abilities to create is as important now as it's ever been.
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by 0xcafefood 6mo ago
The code is also recognizable as slop to those who know how. Not the tropey "Not X, but Y" kind that's super easy to spot. But tons of repetition, deeply nested code, etc. A counterpoint is that (maybe) nobody cares if the co
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by 0xcafefood 6mo ago
The connection to Amdahl's law is totally on point. If you're just using LLMs as a faster way to get _your_ ideas down, but still want to ensure you validate and understand the output, you won't get the mythical 10x improveme
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by 0xcafefood 6mo ago
NYT doesn't like digital advertisers and the programmers who make that possible. They're directly in competition.
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by 0xcafefood 6mo ago
NYT has it out for digital advertisers, who directly compete with them. I do sense some schadenfreude here that the tech nerds who work at these places might be in trouble. "Silicon Valley panjandrums spent the 2010s lecturing American
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Quint: Executable Specs for Reliable Systems(quint-lang.org)
4 points by 0xcafefood 6mo ago|0 comments
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by 0xcafefood 6mo ago
In my experience, code validation (unit testing, code review, manual testing, etc.) was more of a bottleneck than producing code for the most part. This means that faster code generation wouldn't produce significant gains in throughput
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by 0xcafefood 7mo ago
I think this is for a different article currently trending on HN.
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by 0xcafefood 7mo ago
https://archive.ph/Eo4Sd
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by 0xcafefood 7mo ago
"As a friend who works in AI told me, AI heightens the contradictions. It is a boon to those with the motivation and background to cultivate knowledge but it spells total destruction for the system of universal education and credential
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by 0xcafefood 7mo ago
https://archive.ph/RsCHa
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by 0xcafefood 7mo ago
Windows in 1998: this is the worst it's ever going to be. Uber is 2010: this is the worst it's ever going to be. There's some triumphalism here. What happens when training data becomes scarcer because open source as a paradig
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by 0xcafefood 7mo ago
My favorite piece: "The developers who thrive in this new agentic era won’t be the ones who run the most parallel sessions or burn the most tokens. They’ll be the ones who are able to hold their projects’ conceptual models in their min
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Mythical Agent-Month(wesmckinney.com)
2 points by 0xcafefood 7mo ago|1 comments
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by 0xcafefood 7mo ago
Managers' jobs are more at risk here than the engineers'.
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by 0xcafefood 7mo ago
I can't tell if yourr comparison to plumbers who don't understand theory (Navier-Stokes) is supposed to apply to "ape coders" who write code by hand or to "vibe coders" who outsource their understanding.
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by 0xcafefood 7mo ago
> the AI Employee is coming by the end of 2026 and the fully autonomous AI Company in 2027 sometime We'll see! I'm skeptical. > what's holding back the AI Employee are things like really effective long term context and
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by 0xcafefood 7mo ago
Google's product management and discipline are absolute horsesh*t. But they have a moat and its extreme technical competence. They own their infra from the hardware (custom ASICs, their own data centers, global intranet, etc.) all the

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