bhadass

5 ms·

1.
by bhadass 4mo ago
these days it's just Microslop
2.
by bhadass 5mo ago
its very transparent what they're doing they're almost certainly going to replace all the board memebers with political loyalists. the board members served six year terms specifically so they'd span multiple administrations a
3.
by bhadass 5mo ago
the honest answer is it's not really about science at all; its about removing independent oversight. the "benefit" from his perspective is the same playbook trump admin has been running across every federal agency, he wants t
4.
by bhadass 5mo ago
I dunno, my experience mirrors the parent posters: we use opus for all our coding, but gpt 5.4 for all of our enterprise agentic work via api (much bigger amount of tokens). it just seems to be more optimized for this.
5.
by bhadass 6mo ago
i agree that their products are quite stale, but a lot of that is cuz they're so deeply entrenched in enterprise workflows in a way that's incredibly hard to displace. switching costs for jira alone across a large org are brutal.
6.
by bhadass 6mo ago
but will iran accept the taco? at this point, it seems like it may get ideological for them, and they play a different war (jihad) which would require diverting prolonged resources. we may not be able to simply just leave and revert to norm
7.
by bhadass 7mo ago
but the slop will likely better as models improve I guess
8.
by bhadass 7mo ago
openclaw is just one of many now, there are new ones weekly.
9.
by bhadass 7mo ago
i agree w/ the the complexity analysis point, but that theoretical understanding actually translates to real world deployment decisions in both subfields. knowing an algorithm is O() tells you surprisingly little about whether itll act
10.
by bhadass 7mo ago
but isn't this like a lot of other CS-related "gradient descent"? when someone invents a new scheduling algorithm or a new concurrent data structure, it's usually based on hunches and empirical results (benchmarks) too.
11.
by bhadass 7mo ago
I swear the Tay incident caused tech companies to be unnecessarily risk averse with chatbots for years.
12.
by bhadass 7mo ago
yeah, but isn't the whole point of claude code to get people to provide preference data/telemetry data to anthropic (unless you opt out?). same w/ other providers. i'm guessing most of the gains we've seen recently
13.
by bhadass 8mo ago
yup, bezos said "we will be able to beat the cost of terrestrial data centers in space in the next couple of decades". presumably this means they'll need huge ass radiators, so its all about bringing down launch costs since t
14.
by bhadass 8mo ago
they should just acquire one of the many agent code harnesses. Something like opencode works just as well as claude-code and has only been around half of the time.
15.
by bhadass 8mo ago
attitude control in general
16.
by bhadass 8mo ago
true on the naming, but i think geometric/clifford algebra has its own mysterious aura precisely because it can be framed as "suppressed" or "overlooked".. plus it genuinely does have elegant mathematical structure
17.
by bhadass 8mo ago
>EDIT: More interestingly, I find an issue, what do I even DO? If it's not related to integrations or your underlying data, the black box just gave nonsensical output. What would I do to resolve it? Lots of stuff you could do. Adjus
18.
by bhadass 8mo ago
Some of NVIDIA's models also tend to have interesting architectures. For example, usage of the MAMBA architecture instead of purely transformers: https://developer.nvidia.com/blog/inside-nvidia-nemotron-3-t...
19.
by bhadass 8mo ago
solid analysis but i think you're missing the logical endpoint here: this doesn't end with companies "relearning scarcity"... it ends with the permanent contractor-ification of various types of work at these tech compani
20.
by bhadass 8mo ago
why not just go full bore to duckdb?
21.
by bhadass 8mo ago
i'd say the crypto angle is only one factor. as is usual in the real world, effects are multifactorial. clawdbot also rode the wave of claude-code being popular (perhaps due to underlying models getting better making agents more useful
22.
by bhadass 8mo ago
oh interesting, so it just... didn't use them? lol. i guess the model's training data already has enough web knowledge baked in that it could wing it. curious if explicitly prompting it to reference the specs would change the outp
23.
by bhadass 8mo ago
very impressive! it's amazing how far we've come in 20 years. i was a (very minor) contributor to khtml/konqueror (before apple got involved w/ webkit) in the early 2000s, and back then it was such a labor intensive proc
24.
by bhadass 8mo ago
hard to do "credit assignment", i think network effects go brrrrrr. karpathy tweeted about it, david sacks picked it up, macstories wrote it up. suddenly ppl were posting screenshots of their macmini setups on x and ppl got major
25.
by bhadass 8mo ago
collaboration is the killer feature tbh. overleaf is basically google docs meets latex.. you can have multiple coauthors editing simultaneously, leave comments, see revision history, etc. a lot of academics aren't super technical and d
26.
by bhadass 8mo ago
respect to icaza for his contributions (tho I was on the KDE side of the gnome/kde desktop "wars"), but has the "Whatever he works on today will likely be part of a stack you work on in a few years" been true for a
27.
by bhadass 8mo ago
there is also sunnypilot, which is a fork of openpilot, and supports more behaviors and cars: https://github.com/sunnypilot/sunnypilot
28.
by bhadass 8mo ago
ya, exactly... i'd also say that when you compress large amounts of content into weights and then decompress via a novel prompt, you're also forcing interpolation between learned abstractions that may never have cooccurred in trai
29.
by bhadass 8mo ago
yep the base model is the compression, but RLHF (and other types of post training) doesn't really change this picture, it's still working within that same compressed knowledge. nathan lambert (who wrote the RLHF book @ https:&#x2
30.
by bhadass 8mo ago
better mental model: it's a lossy compression of human knowledge that can decompress and recombine in novel (sometimes useful, sometimes sloppy) ways. classical search simply retrieves, llms can synthesize as well.

More ›