danaw

5 ms·

31.
by danaw 5mo ago
llms don't need healthcare or stock grants
32.
by danaw 5mo ago
you mean that system that has created the most wealth inequality in many decades if not ever?
33.
by danaw 5mo ago
yeah i tried to cover that in my POC bulletin :)
34.
by danaw 5mo ago
nazi/fascists do indeed refer to the rothchilds a disproportionate amount. nothing crackpot about it
35.
by danaw 5mo ago
as other have mentioned tons of portable generators are no where near as safe as power plants and these are built right next to people's homes with no oversight or regulation.
36.
by danaw 5mo ago
this feels more like something designed to bolster the spacex ipo than anything else 300MW is peanuts compared to their multiple 50GW+ deals to the point you start to wonder why just 300MW is making the difference in their capacity that the
37.
by danaw 5mo ago
i too find lots of value in llms but your example describes a scenario a programmer could have also easily solved and maybe even had writing it correctly in the first or second shot. that isn't to say an llm can't be useful but yo
38.
by danaw 5mo ago
just last week AI led a developer on our team to brick our git history when he was attempting to fix a deploy. he's not a git expert but an llm should of not led him that far astray, no? i see on a weekly basis where if an llm was left
39.
by danaw 5mo ago
use of antisemetic insult
40.
by danaw 5mo ago
nail on the head. the loss in understanding, learning and context is often not worth the increase in volume of output
41.
by danaw 5mo ago
ouch, sounds like your manager is more a problem than the llm review! i find it as a good backstop to catch dumb mistakes or suggest alternatives but is not a replacement for human review (we require human review but llm suggestions are alw
42.
by danaw 5mo ago
this can absolutely happen and i've experienced it myself recently. that said id say its still better than some of the alternatives and i've had probably 60-80% luck with it if properly prompted what models have you been using tha
43.
by danaw 5mo ago
oof. nothing like a home grown tool that gets more in your way than helps! i especially find suggestions distracting in markdown where i feel is the key place i really dont want an llm trying to interfere in my ability to communicate to oth
44.
by danaw 5mo ago
i disagree because i see code as the actual product of the thought behind it. it is after all a description of the intent of the programmer and programming language are what we use to communicate to machines that said, we will see over the
45.
by danaw 5mo ago
appreciate the compliment! i don't see llm code review as any kind of code review replacement; more as a backstop to catch things a human might miss (like today an llm caught an unimplemented feature in a POC that would have otherwise
46.
by danaw 5mo ago
100%. even having them come up with a few very different competing solutions can be really valuable to explore the problem space
47.
by danaw 5mo ago
i'll bite. the uses for llms i've described are about what i've been using them for since chatgpt 3o. they've absolutely gotten better since then but i still find them to be very poor replacements for humans, esp in rega
48.
by danaw 5mo ago
perhaps it depends on language or domain but for me it's usually a minimum of 50% but often 80% what in looking for (lots of web off like typescript, svelte, cloudflare workers, tailwind etc).
49.
by danaw 5mo ago
lol it does have that vibe
50.
by danaw 5mo ago
i have a strong suspicion that the most productive software teams that leverage llms to build quality software will use it for the following: - intelligent autocomplete: the "OG" llm use for most developers where the generated cod
51.
by danaw 5mo ago
since these companies know this data perhaps they need to be audited to see what the ground truth reality is
52.
by danaw 5mo ago
the product of llms being trained on SEO fluff articles that pad out everything so they get as high in the results as possible
53.
by danaw 5mo ago
it's because they were trained on lots of stolen fluff pieces in major publications, also part of why they have such an annoyingly positive tone
54.
by danaw 5mo ago
making claims is not the same a real world outcomes. the real question will be how these claims are audited by regulators
55.
by danaw 5mo ago
many others in the comments have this same issue (and the internet at large). my point is just that it's not obvious that apple has met this claim with real world devices. it will be seen how the actual requirements will be validated,
56.
by danaw 5mo ago
just conjecture but possibly because of the rumored acquisition plans from SpaceX (that's why i stopped using it)
57.
by danaw 5mo ago
based on many comments in this thread your statement is not accurate. for example my iphone 15 pro is at 83% with 654 cycles. clearly it will drop below 80% in less than 1000 cycles
58.
by danaw 5mo ago
a quick search shows they're not developing their own AVs but they're heavily investing in them via partnerships and other experimental projects
59.
by danaw 5mo ago
i was one of the weirdos that used em dashes pre-llms but yeah it can def be an indicator
60.
by danaw 5mo ago
an acceptable alternative :chefs_kiss:

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