mrbungie

19 ms·

301.
by mrbungie 2y ago
Still, the worst positioned cloud provider to tackle this job. Both for the project and for eventual users of whatever eldritch abomination that cames out of this.
302.
by mrbungie 2y ago
The algo learned "by itself", but humans set a objetive to optimize and then implemented it to do so as well as it they could. So essentially both I guess?
303.
by mrbungie 2y ago
That would still be limited eventually, at what point do we stop adding layers?
304.
by mrbungie 2y ago
> Each of these eras was marked by what economists call a General-Purpose Technology, or GPT. In contrast to single-purpose products, GPTs boost innovation and productivity across the economy. Ironworking, electricity, machine tooling, c
305.
by mrbungie 2y ago
1. It is a moral victory: at least they won't use your own text. 2. As a sibling proposes, this is probably going to become an perpetual arms race (even if a very small one in volume) between tech-savvy content creators of many kinds a
306.
by mrbungie 2y ago
Everyone dying from a rogue AI would be stupid and embarrasing: we used resources that would've been better used fighting climate change, but ended up being killed by an hallucinating paperclip maximizer that came from said resources.
307.
by mrbungie 2y ago
Data is becoming a commodity in this regard. That can't be really their moat when Google, Anthropic, etc are publishing similar products.
308.
by mrbungie 2y ago
Yeah, blame the users for "using it wrong" (phrase of the week I would say after the o3 discussions), and then sell the solution as almost-AGI. PS: I'm starting to see a lot of plausible deniability in some comments about LLM
309.
by mrbungie 2y ago
I mentioned the pong example because that is what non-coders LLM users show and what the industry is proposing as the future of software development: no coding experience necessary. > It does work for these things, but you have to alread
310.
by mrbungie 2y ago
In summary: so the "stomps benchmarks" means nothing for anyone trying to make decisions on that announcement (yet they show cost/perf info). It seems, hipey.
311.
by mrbungie 2y ago
No true scottsman fallacy. I know how to use them, but using them "correctly" still produces many errors. They suck at non-trivial code outside of standard library usage and boilerplate coding: I gave an example and parent did as
312.
by mrbungie 2y ago
And yet with multiple OoM more data he still didn't cost millions of dollars to be trained nor multiple lifetimes in gpu-hours. He probably didn't even register all the petabytes passing through all his "sensors", those
313.
by mrbungie 2y ago
I dunno, I work at a big old corp (finance/fintech industry) with a solid foundation in Data & Analytics, and still things are moving slowly. Not that much high of a hype in the C-level, maybe because sellers are not selling that w
314.
by mrbungie 2y ago
Those are VC investments, nothing new to see here. They have all the incentives to ride the AI hype cycle, grow those investments and extract as much value from them as they can. Just as they've done before with other cycles as Big Dat
315.
by mrbungie 2y ago
He probably didn't need petabytes of reddit posts and millions of gpu-hours to parrot that though. I still don't buy the "we do the same as LLMs" discourse. Of course one could hypothesize the human brain language center
316.
by mrbungie 2y ago
Part of the ideas pushed into the narrative by Marketing departments / consultants / hyperscalers to movilize growth in the AI ecosystem.
317.
by mrbungie 2y ago
If the benchmark is not representative of normal usage* then the benchmark and the plot being shown are not useful at all from a user/business perspective and the focus on the breakthrough scores of o3-low and o3-high in ARC-AGI would
318.
by mrbungie 2y ago
For every consumer there will be a period where they need both the SME and the o3 model for initial calibration and eventual handoff for actually getting those efficiencies in whichever processes they want to automate. In other words if you
319.
by mrbungie 2y ago
Yep, get into any sufficiently deep niche (i.e. actually almost any non-trivial app) and the LLM magic fades off. Yeah sure you can make a pong clone in html/js and that's mainly because there the internet is full of pong clone de
320.
by mrbungie 2y ago
It is still not economical: in Arc at least 20 usd for task vs ~3 usd for a human (avg mturker) for the same perf.
321.
by mrbungie 2y ago
Are people really romanticizing it out there? I find it really draws my attention in a morbid sense associated to looking at what was a very alien way of living, but I would hate to live in those conditions.
322.
by mrbungie 2y ago
Oof, the times I've heard something like that with X tech.
323.
by mrbungie 2y ago
In these setups compute is ephemeral and decoupled from storage (you would normally use an object storage offering that is actually redundant out-of-the-box), so the 2TB is for working memory + OS + whatever and the 20TB NVMe is purely for
324.
by mrbungie 2y ago
Anyone remember the leftpad fiasco in the node ecosystem? That could happen in any dependency system that allows owners to unpublish dependencies and that's one risk users must weigh when adding them.
325.
by mrbungie 2y ago
Kinda, pretty sure I've read it somewhere else before. Plus, it has entries in Urban Dictionary from early 2023.
326.
by mrbungie 2y ago
This. And also try always to fix the version of the requirements, and that's it. Never had a problem making reproducible builds doing so.
327.
by mrbungie 2y ago
It is very important to have at least some kind of counterweight vs OpenAI/sama predicting AGI for 2025/2026.
328.
by mrbungie 2y ago
I mean he repeateadly gave some hints (even if just for the lulz and not seriously) that the audience is at least partially composed of people with little technical background or AI bros. An example is when he mentioned LSTMs and said &quot
329.
by mrbungie 2y ago
Let us all hope that they will be as humanitarian as they can be, but let's not forget they are still just human beings.
330.
by mrbungie 2y ago
> and while they have lost the original product lead Doesn't matter how talented the team is, that is a massive red flag as not even six months have passed since the launch.

More ›