froztbyte

joined 2 years ago
[–] froztbyte@awful.systems 15 points 1 week ago (9 children)

off the top of my head: apple dropping rosetta2 (the x86/amd64 compat layer), extreme focus on apple intellidunce, a variety of desktop-related things constantly just getting a bit worse (music.app is currently completely broken for shortcut/automation control), and things like trying to push the macos desktop to be far more like the ios ui (see e.g. the shit they've done with settings dialog)

apple's focuses are all in places and things that no-one wants, but they're too stubborn to listen to any feedback

[–] froztbyte@awful.systems 5 points 1 week ago (1 children)

sigh

I am the scream

[–] froztbyte@awful.systems 9 points 1 week ago

among others, so many systemd and libvirt things :|

fortunately a long-ish tail on a lot of that, but fucking still

[–] froztbyte@awful.systems 5 points 1 week ago

just as the tshirt goes: my opening sentence was not for nothing

[–] froztbyte@awful.systems 8 points 1 week ago

sometimes both

[–] froztbyte@awful.systems 4 points 1 week ago

Heh I haven’t seen that, will have to go look

If we knew how to use hot air for rocket propulsion we could just shove saltman et al in there and solve multiple problems at once…alas

[–] froztbyte@awful.systems 5 points 1 week ago (8 children)

Yeah heat management in space turns out to be pretty fucking hard. You could ask “who knew?!” but there’s that whole space program thing…

I presume that they’re not in fact blind to this fact, mind you. You cannot be doing actual astro tech design without it (your object would never make it to launch - there’s too many blockers that’d stop it), but the properties of heat generation from a H100 are known, and thus whatever they’re applying to deal with it very can’t be lightweight/little

[–] froztbyte@awful.systems 4 points 1 week ago

yeah it’s pretty amazing

in one respect it’s at best one-percent-assed (for both meanings of). in another, it’s all ass

takes special kind of fuckery to create garbage that fractally terrible

[–] froztbyte@awful.systems 8 points 1 week ago

you type “DHH said” twice in one post like he’s anyone to listen to, amazing

(pro-tip: he ain’t)

[–] froztbyte@awful.systems 10 points 1 week ago (24 children)

look at the depth of this grifting

a whole One (1!) H100! in space!

note how it mentions nearly absolute fucking nothing about the supporting cast. about storage and networking, about interface capabilities, what kind of programmatic runtimes you could have! none of it. just gonna yeet a sat into space, problem solved! space DCs!

compute! in space! "what do you mean 'compute what'? compute!" I hear, as the jackass rapidly packs up their briefcase and starts edging towards the door. who needs to care about getting data to and from such a device? it'll run Gemma![0] magic!

SAR, in particular, generates lots of data — about 10 gigabytes per second, according to Johnston — so in-space inference would be especially beneficial when creating these maps.

scan-time "inference", like you'd definitely know every parameter you'd want to query and every result you'd want to have, first-time, at scan! there's a fucking reason this shit gets turned into datasets, and that the tooling around processing it is as extensive as it is.

and, again, this leaves aside all the other practical problems. of which there are many. even just the following ones should make you wince: launch, maintenance, power, heat dissipation (vacuum is an insulator!), repair, (usable) lifetime, radiation. and that's before even touching on the nuances in those, or going further on the list

good god.

I guess the one good bit here is that it isn't the "we're gonna micromachine them in orbit!" bullshit fantasy, but I bet that's not far behind

[0] - "multimodal and wide language support" so literally a Local LLM, but that means it needs... input... and... response... which again goes back to all those pesky "interaction" and "network" and "storage" questions.

[–] froztbyte@awful.systems 7 points 1 week ago (2 children)

hadn't been aware that rossman's into dodgy stuff (knew fairly little about him outside of some repair stuff on his channel), but ugh

also clicking through into FUTO's projects and it's all a bit gravitating around a point, "built on polycentric". so I wonder what that means?

Polycentric is an open-source, distributed social network that lets you publish content to multiple servers.

already at "I'm interested" because it's interesting to see what other work happens in this space.

and then very next sentence we get to

If you’re censored on one server, your content remains accessible from other servers

ah. I see. the "opt-out moderation" is also telling - how does it work? who knows! it's got a paragraph under introduction but seems to not be mentioned anywhere else in the docs.

extra frustrating to see because the projects these fucks are taking on (like the open cast thing) are items that sorely need stronger options in the open space. but not like this. never like this.

 

Too tired to sneer at the book myself right now but the article doesn’t pull punches either

Figured it’s worth posting since the book author has featured here more than once recently and has definitely been an enabler to The Shit

 

found via someone running a server at revision

retro fun. quite slick, too!

53
submitted 2 years ago* (last edited 2 years ago) by froztbyte@awful.systems to c/techtakes@awful.systems
 

Not entirely the usual fare, but i figured some here would appreciate it

I often rag on the js/node/npm ecosystem for being utter garbage, and this post is a quite a full demonstration of many of the shortcomings and outright total design failures present in that space

 

Invite up at https://2024.revision-party.net/blog/04-invitation/

~2 weekends away (who cares about the week)

Prepare for watching mathematical black magic!

 

starting out[0] with "I was surprised by the following results" and it just goes further down almost-but-not-quite Getting It Avenue

close, but certainly no cigar

choice quotes:

Why is it impressive that a model trained on internet text full of random facts happens to have a lot of random facts memorized? … why does that in any way indicate intelligence or creativity?

That’s a good point.

you don't fucking say

I have a website (TrackingAI.org) that already administers a political survey to AIs every day. So I could easily give the AIs a real intelligence test, and track that over time, too.

really, how?

As I started manually giving AIs IQ tests

oh.

Then it proceeds to mis-identify every single one of the 6 answer options, leading it to pick the wrong answer. There seems to be little rhyme or reason to its misidentifications

if this fuckwit had even the slightest fucking understanding of how these things work, it would be glaringly obvious

there's plenty more, so remember to practice stretching before you start your eyerolls

 

One for the sidebar, in the spirit of incident-day-free counters[0], tracking how many days since the last time there was a dipshitted thing from the tescrealtors

Could do it with flap-counter or nixie-clock numbers for a bit of feel?

[0] - is this an insensitive idea? I know the counters tend to form part of safety culture and their reset indicates harm, but those clowns are exactly dangerous, so..

 

[open scene]

background: a brightly lit airy Social Gathering space with multicoloured furniture (meeting rooms are so 2010). people have been arriving in clumps of 2~5 for over 30 minutes, and the presentation can start soon

sundar: I want to thank you all for coming. this one should be quick today.

* sundar briefly sweeps his eyes across the room before continuing *

sundar: guys! GUYS! we made the prompt VIDEO CAPABLE! it can follow A STREAMING SEQUENCE OF IMAGES!! you can immediately start testing this from your corporate account (whispers if you're in the right orgs). for the public scoff, we'll start with Ask Us pricing in a few months, and we'll force it on the usual product avenues. the office and mail suites stand ready to roll out the integration updates before anyone can ask. you know how the riffraff gets....

* some motion and noise in the back *

sundar: ... sorry melanie, what's that? speak up melanie I can't hear your question. you know how much that mask muffles your voice...

* a game of broken telephone for moving a handheld microphone to the back of the room ensues *

melanie: hi sundar, congratulations to the team for their achievement. I wanted to ask: how does gemini pro solve the issues other models have faced? what new innovations have been accomplished? how is it dealing with the usual issues of correctness, energy consumption, cultural contexts? how is it trained on areas where no datasets exist? were any results sourced from cooperation with the AI ethics and responsibility workgroups that have found so many holes in our previous models?

sundar: * smiles brightly, stares directly into middle of crowd. moves hand to the electronic shutter control, and starts pressing the increase button multiple times until shutter is entirely opaque *

[sundar walks off into the fake sunset, breaks open the boardroom whiskey]

[inside the private exec room]

sundar: FUCK! that was too close. didn't we fire those types already in the last layoffs...? someone get me HR, we need to do something

[end scene]

16
better tools thread (awful.systems)
submitted 2 years ago* (last edited 2 years ago) by froztbyte@awful.systems to c/notawfultech@awful.systems
 

this is in part because it's for (yet another) post I'm working on, but I figured I'd pop some things here and see if others have contributions too. the post will be completed (and include examples, usecases, etc), but, yeah.

I've always taken a fairly strong interest in the tooling I use, for QoL and dtrt reasons usually (but also sometimes tool capability). conversely, I also have things I absolutely loathe using

  1. wireguard. a far better vpn software and protocol than most others (and I have slung tunnels with many a vpn protocol). been using this a few years already, even before the ios app beta came around. good shit, take a look if you haven't before
  2. smallstep cli. it's one of two pieces of Go software I actually like. smallstep is trying to build its own ecosystem of CA tools and solutions (and that's usable in its own right, albeit by default focused to containershit), but the cli is great for what you typically want with certificate handling. compare step certificate inspect file and step certificate inspect --insecure https://totallyreal.froztbyte.net/ to the bullshit you need with openssl. check it out
  3. restic. the other of the two Go-softwares I like. I posted about it here previously
  4. rust cli things! oh damn there's so many, I'm going to put them on their own list below
  5. zsh, extremely lazily configured, with my own little module and scoping system and no oh-my-zsh. fish has been a thing I've seen people be happy about but I'm just an extremely lazy computerer so zsh it stays. zsh's complexity is extremely nonzero and it definitely has sharp edges, but it does work well. sunk cost, I guess. bonus round: race your zsh, check your times:
% hyperfine -m 50 'zsh -i -c echo'
Benchmark 1: zsh -i -c echo
  Time (mean ± σ):      69.1 ms ±   2.8 ms    [User: 35.1 ms, System: 28.6 ms]
  Range (min … max):    67.0 ms …  86.2 ms    50 runs
  1. magic-wormhole. this is a really, really neat little bit of software for just fucking sending files to someone. wormhole send filename one side, wormhole receive the-code-it-gives the other side, bam! it uses SPAKE2 (disclaimer: I did help review that post, it's still good) for session-tied keying, and it's just generally good software
  2. [macos specifically] alfred. I gotta say, I barely use this to its full potential, and even so it is a great bit of assistive stuff. more capable than spotlight, has a variety of extensibility, and generally snappy as hell.
  3. [macos specifically] choosy. I use this to control link-routing and link-opening on my workstation to a fairly wide degree (because a lot of other software irks me, and does the wrong thing by default). this will be a fuller post on its own, too
  4. [macos specifically] little snitch. application-level per-connection highly granular-capable firewalling. with profiles. their site does a decent explanation of it. the first few days of setup tends to be Quite Involved with how many rules you need to add (and you'll probably be surprised at just how many things try to make various kinds of metrics etc connections), but well worth it. one of the ways to make modern software less intolerable. (honorary extra mention: obdev makes a number of handy pieces of mac software, check their site out)
  5. [macos specifically] soundsource. highly capable per-application per-sink audio control software. with the ability to pop in VSTs and AUs at multiple points. extremely helpful for a lot of things (such as perma-muting discord, which never shuts up, even in system dnd mode)

rust tools:

  1. b3sum. file checksum thing, but using blake3. fast!. worth checking out. probably still niche, might catch on eventually
  2. hyperfine. does what it says on the tin. see example use above.
  3. dust. like du, but better, and way faster. oh dear god it is so much faster. I deal with a lot of pets, and this thing is one of the invaluables in dealing with those.
  4. ripgrep. the one on this list that people are most likely to know. grep, but better, and faster.
  5. fd. again, find but better and faster.
  6. tokei. sloccount but not shit. handy for if you quickly want to assess a codebase/repo.
  7. bottom. down the evolutionary chain from top and htop, has more feature modes and a number of neat interactive view functions/helpers

honorary mentions (things I know of but don't use that much):

  1. mrh. not doing as much consulting as I used to, using it less. quickly checks all git(?) repos in a path for uncommitted changes
  2. fzf. still haven't really gotten to integrating it into my usage
  3. just. need to get to using it more.
  4. jql. I ... tend to avoid jq? my "this should be in a program. with safety rails." reflex often kicks in when I see jq things. haven't really explored this
  5. rtx. their tagline is "a better asdf". I like the idea of it because asdf is a miserable little pile of shell scripts and fuck that, but I still haven't really gotten to using it in anger myself. I have my own wrapper methods for keeping pyenv/nvm/etc out of my shell unless needed
  6. pomsky. previously rulex. regex creation tool and language. been using it a little bit. not enough to comment in detail yet
 

archive

"There's absolutely no probability that you're going to see this so-called AGI, where computers are more powerful than people, in the next 12 months. It's going to take years, if not many decades, but I still think the time to focus on safety is now," he said.

just days after poor lil sammyboi and co went out and ran their mouths! the horror!

Sources told Reuters that the warning to OpenAI's board was one factor among a longer list of grievances that led to Altman's firing, as well as concerns over commercializing advances before assessing their risks.

Asked if such a discovery contributed..., but it wasn't fundamentally about a concern like that.

god I want to see the boardroom leaks so bad. STOP TEASING!

“What we really need are safety brakes. Just like you have a safety break in an elevator, a circuit breaker for electricity, an emergency brake for a bus – there ought to be safety breaks in AI systems that control critical infrastructure, so that they always remain under human control,” Smith added.

this appears to be a vaguely good statement, but I'm gonna (cynically) guess that it's more steered by the fact that MS now repeatedly burned their fingers on human-interaction AI shit, and is reaaaaal reticent about the impending exposure

wonder if they'll release a business policy update about usage suitability for *GPT and friends

 

archive (e: twitter [archive] too, archive for nitter seems a bit funky)

it'd be nice if these dipshits, like, came off a factory line somewhere. then you could bin them right at the QC failure

 

Mr. Altman’s departure follows a deliberative review process [by the board]

"god, he's really cost us... how much can we get back?"

which concluded that he was not consistently candid in his communications with the board

not only with the board, kids

hindering its ability to exercise its responsibilities

you and me both, brother

3
submitted 2 years ago* (last edited 2 years ago) by froztbyte@awful.systems to c/notawfultech@awful.systems
 

I don't really know enough about the C64 to say anything one way or the other, but this comment on youtube did okay:

@eightbitguru
1 year ago
2021: We have definitely seen everything the C64 can do now.
2022: My beer. Hold it.

and I'm posting this without even having seen the whole thing yet

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