gmm1990

10 ms·

1.
by gmm1990 18d ago
It’s interesting the author ponders what they might be missing now. it seems like it’s the deterioration of the writing due to llms. I’ve liked some of the authors posts in the past. And might look in more detail at the differences between
2.
by gmm1990 2mo ago
I hope the test data is the same when comparing the different runs. So the big o notation should be the same across different runs.
3.
by gmm1990 2mo ago
It’s probably got phone home a few times to to make sure they’re measuring user engagement
4.
by gmm1990 3mo ago
This seems to be a very generic/common response to any ai critique. It kind of reinforces my point there’s a lot of situations where the appropriate harness isn’t some agent that’s set to ultra high thinking mode. Chat mode gives the b
5.
by gmm1990 3mo ago
I find that thinking/agent mode sometimes makes it worse/comes up with the same thing and just takes a long time. But I’m sure it’ll be different with fable for a few months until that hype blows over
6.
by gmm1990 3mo ago
I guess I’m coming at it from an optimizing market data provider perspective once you preallocate memory the next thing to optimize is the string decimal conversion if the feed isnt binary encoded
7.
by gmm1990 3mo ago
That’s quite a bit slower to process. At least if you’re converting to integers to do the calculations and the calculations would be quite a bit slower if you kept the big decimal type
8.
by gmm1990 3mo ago
There’s quite a few historical cases of mergers acquisitions being poorly valued aol time warner for example. So maybe v the calculus is different from the execs perspective but it’s not necessarily any better.
9.
by gmm1990 3mo ago
I wouldn’t call comparing yourself to Fabrice Ballard and not just saying he’s a better programmer modest.
10.
by gmm1990 4mo ago
I don’t know like chess engines didn’t kill chess. You could just play with people that don’t use the “engine”
11.
by gmm1990 5mo ago
Not if it drives up energy prices and makes other businesses that employ more people less competitive. Not saying that is the case but it’s certainly not a given
12.
by gmm1990 10mo ago
Some of the utilization comparisons are interesting, but the article says 2 trillion was spent on laying fiber but that seems suspicious.
13.
by gmm1990 10mo ago
The whole point is that the outages happened not that the ai code caused them. If ai is so useful/amazing then these outages should be less common not more. It’s obviously not rock solid evidence. Yeah ai could be useful and speed up o
14.
by gmm1990 10mo ago
If there is really amazing stuff happening with this technology how did we have two recent major outages that were cause by embarrassing problems? I would guess that at least in the cloud flare instance some of the responsible code was ai g
15.
by gmm1990 11mo ago
I think he could have been instrumental to the iphone (not saying he was or wasn't) and whatever he tries next is a complete flop. The ability to be successful is contextual, and great artists can produce mediocre art.
16.
by gmm1990 11mo ago
Qualcomm press release: https://www.qualcomm.com/news/releases/2025/10/qualcomm-unve...
17.
by gmm1990 11mo ago
Is there a public generic measure of IT outages with historical data. Severe outages seem to be more common lately, but I don't have any data to back it up.
18.
by gmm1990 11mo ago
value doesn't have to be monetary
19.
by gmm1990 11mo ago
Interesting that there's only the m5 on the macbook pro. I thought the m4 and m4 pro/max were at the same time on the macbook pro
20.
by gmm1990 1y ago
Thanks for the write up. Seems like a cool pattern I hadn’t heard of before
21.
by gmm1990 1y ago
that is an interesting use case, I hadn't thought about a setup like this with a local redis cache before. Is it the typical advantages of using a db over a filesystem the reason to use redis instead of just reading from memory mapped
22.
by gmm1990 1y ago
Strange unit of measurement. Who would find that more useful than expected compute or even just the number of chips.
23.
by gmm1990 1y ago
Ah interesting, I was just curious. I’ve wasted some time setting up ci runners stuff on bare metal servers just because I’ve heard runners from gitlab/github can be expensive
24.
by gmm1990 1y ago
That makes sense. Maybe it’s easier in an organization/ some people’s mental model to put guards around changing database because it’s separate from the code, standard across many organizations and in my opinion just harder to change.
25.
by gmm1990 1y ago
I wouldn’t think gpt5 is any better than the previous chat gpt. I know it’s a silly example but I was trying to trip it up with the 8.6-8.11 and it got it right .49 but then it said the opposite of 8.6 - 8.12 was -.21. I just don’t see that
26.
by gmm1990 1y ago
I seem to gravitate towards nosql type databases, defining tables in a ddl and then again in the code seems repetitive, and slows down changes. But the idea would be that the code is what defines the table. It'd be nice though to hear
27.
by gmm1990 1y ago
Why not run some open source ci locally or the google equivalent ec2, if you’re already going to the trouble of this much customization with running GitHub ci?
28.
by gmm1990 1y ago
How are there not agents that are "instruct trained" differently. Is this behavior in the fundamental model? From my limited knowledge I'd think it'd be more from those post model training steps, but there are so many pe
29.
by gmm1990 1y ago
Extremely anecdotal but all I keep seeing is relatively stable services (the google one comes to mind) having major outages. I assume its not AI related or directly ai related at least, but you'd think these outages would be less commo
30.
by gmm1990 1y ago
Would this be like entering the python terminal and typing print('hello world') or python hello_world.py that has the print instruction? Or something else. I'd just be unsure if a python installation like the python.exe would

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