bandrami

22 ms·

481.
by bandrami 8mo ago
Slack"s data policy being "no" is a big reason companies are willing to use it. Change that and that willingness goes away.
482.
by bandrami 8mo ago
We've had xmpp for decades; the issue is that companies don't want to be responsible for it not that they can't do it
483.
by bandrami 8mo ago
In general the companies are the ones showing reluctance, much more than their employees. There's still a morass of security, privacy, and legal unanswered questions about LLM use in general. Not to mention the huge unknown of total li
484.
by bandrami 8mo ago
The fact that everyone hates slack and teams and nobody has built a better group chat yet should really give more people pause than it is currently giving
485.
by bandrami 8mo ago
But it's not unreasonable to ask the shovel salesman to show me a hole that model of shovel was used to dig.
486.
by bandrami 8mo ago
Eh, people have been warning me "you'll be left behind!" about the flavor of the week for decades now and it hasn't happened yet. If it happens it happens.
487.
by bandrami 8mo ago
> Your terraform written by a person already doesn't have deterministic precision Can you expand on that? Because it sure seems to me like it is in fact deterministic unless the person deliberately made it otherwise
488.
SoftBank eyes up to $40B loan to fund OpenAI investment(reuters.com)
2 points by bandrami 8mo ago|0 comments
489.
by bandrami 8mo ago
Also I see so much talk about "boilerplate" I can't help but wonder if people just never had decent text editors, or never bothered to customize them at all?
490.
by bandrami 8mo ago
Until two weeks from now, at which point you'll be hopelessly obsolete. I've seen this treadmill before and am happy to let it settle down first.
491.
by bandrami 8mo ago
Two weeks ago I asked a frontier model to list five mammals without "e" in their name and number four was "otter"
492.
by bandrami 8mo ago
I think there's a broad category error where people see that every gain has been an abstraction (true) but conclude from that that every abstraction will be a gain (dubious)
493.
by bandrami 8mo ago
Though this does suggest one possible answer to me: the new software is largely web applications, and the web is just a space I don't spend much time anymore other than a few retro sites like this
494.
by bandrami 8mo ago
In glad you made something with it you wanted to make, and as a fan of Aristotle I'm always happy to see the word eudaimonia out there. Best of luck. That said I don't understand what this does or why I would want the tokens it me
495.
by bandrami 8mo ago
We've had deterministic automation of tier one response for over a decade now. What value would indeterminacy add to that?
496.
by bandrami 8mo ago
Because there's cheaper ways to get an equally good search engine? But yes I imagine some amount of inference will continue even in an AI Winter 3.0 scenario.
497.
by bandrami 8mo ago
Right, I'm sympathetic to the idea that LLMs facilitate the creation of software that people previously weren't willing to pay for, but then kind of by definition that's not going to have a big topline economic impact.
498.
by bandrami 8mo ago
OK so this comes back to the question I started this subthread with: where is this better software? Why isn't someone selling it to me? I've been told for a year it's coming any day now (though invariably the next month I&#x2
499.
by bandrami 8mo ago
The tolerance for indeterminacy is I think a generational marker; people ~20 years younger than me just kind of think of all software as indeterminate to begin with (because it's always been ridiculously complicated and event-driven fo
500.
by bandrami 8mo ago
I don't know that it's likely but it's certainly a plausible outcome. If tooling keeps getting built for this and the financial music stops it's going to take a while for everybody to get back up to speed Remember this f
501.
by bandrami 8mo ago
But, as I said above, I don't produce code; I administer it (administrate? whichever it is).
502.
by bandrami 8mo ago
That's only certain if investments in tech infrastructure always led to productivity increases. But sometimes they just don't. Lots of firms spent a lot of money on blockchain five years ago, for instance, and that money is just
503.
by bandrami 8mo ago
What would that help us with?
504.
by bandrami 8mo ago
Most of these are new features, but then they have to integrate with the existing software so it's not really greenfield. (Not to mention that our clients aren't getting any faster at approving new features, either.)
505.
by bandrami 8mo ago
"AI will take your job, just not in the way you thought"
506.
by bandrami 8mo ago
The dev team is committing more than they used to. A lot, in fact, judging from the logs. But it's not showing up as a faster cadence of getting me software to administer. Again, maybe that will change.
507.
by bandrami 8mo ago
I don't write code for a living but I administer and maintain it. Every time I say this people get really angry, but: so far AI has had almost no impact on my job. Neither my dev team nor my vendors are getting me software faster than
508.
by bandrami 8mo ago
> but without any kind of support guarantees for enterprise customers Also known as every single Google product
509.
by bandrami 8mo ago
I have terrible news: LLMs don't actually make it easier, though it feels like they do at first
510.
by bandrami 8mo ago
That's a reasonable theory though it's stuck with the problem that any model will by its training be derivative of codebases that have incompatible licenses, and that in fact every single use of an LLM is therefore illegal (or at

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