user/bmallred/data/2023-06-21-10-14-30.fit: 5.00 miles, 00:09:15 average pace, 00:46:14 duration
user/bmallred/data/2023-06-20-05-36-23.fit: 3.01 miles, 00:08:49 average pace, 00:26:35 duration
Most of the can run locally have such a small training set they arnt worth it. Are more like the Markov chains from the subreddit simulator days.
There is one called orca that seems promising that will be released as OSS soon. Its running at comparable numbers to OpenAI 3.5.
user/bmallred/data/2023-06-18-04-23-34.fit: 20.07 miles, 00:12:30 average pace, 04:10:40 duration
user/bmallred/data/2023-06-16-05-50-50.fit: 4.02 miles, 00:09:26 average pace, 00:37:54 duration
user/bmallred/data/2023-06-15-15-52-23.fit: 0.51 miles, 00:10:25 average pace, 00:05:16 duration
user/bmallred/data/2023-06-15-15-04-24.fit: 4.06 miles, 00:10:26 average pace, 00:42:25 duration
user/bmallred/data/2023-06-14-05-29-10.fit: 3.02 miles, 00:09:40 average pace, 00:29:09 duration
@movq@www.uninformativ.de If I understand it correctly, gtk4 renders using OpenGL. That means some of that RAM that appears to be allocated is actually some trick of the OpenGL driver so that it can map address in RAM space to the GPU’s VRAM (depends a lot on your setup though).
What happens if you run it with GSK_RENDERER=cairo set?
https://artixlinux.org Running artix full wayland setup with sway as WM and runit as init. KISS and flying, so cool :)
user/bmallred/data/2023-06-09-05-32-10.fit: 4.14 miles, 00:10:35 average pace, 00:43:47 duration
user/bmallred/data/2023-06-08-05-47-34.fit: 4.00 miles, 00:10:17 average pace, 00:41:08 duration
user/bmallred/data/2023-06-06-05-55-51.fit: 4.01 miles, 00:09:59 average pace, 00:40:03 duration
user/bmallred/data/2023-06-05-14-08-12.fit: 2.89 miles, 00:08:41 average pace, 00:25:06 duration
Seems to me you could write a script that:
- Parses a StackOverflow question
- Runs it through an AI text generator
- Posts the output as a post on StackOverflow
and basically pollute the entire information ecosystem there in a matter of a few months? How long before some malicious actor does this? Maybe it’s being done already 🤷
What an asinine, short-sighted decision. An astonishing number of companies are actively reducing headcount because their executives believe they can use this newfangled AI stuff to replace people. But, like the dot com boom and subsequent bust, many of the companies going this direction are going to face serious problems when the hypefest dies down and the reality of what this tech can and can’t do sinks in.
We really, really need to stop trusting important stuff to corporations. They are not tooled to last.
Marble Run
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Marble Run
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Pinellas County Running: 10.04 miles, 00:10:16 average pace, 01:43:07 duration
goal was 10 miles (furthest since injury) at an easy pace. didn’t pay attention to the watch and felt like i nailed it.
#running
user/bmallred/data/2023-06-02-08-24-16.fit: 4.31 miles, 00:09:19 average pace, 00:40:10 duration
MkLinux: The delightfully weird PowerPC Mac Linux Distro of the 1990s
Co-Developed by Apple, with Linux running as a user-mode task. Seriously. ⌘ Read more
user/bmallred/data/2023-06-01-05-37-12.fit: 7.41 miles, 00:06:05 average pace, 00:45:04 duration
user/bmallred/data/2023-05-31-11-16-44.fit: 3.04 miles, 00:08:44 average pace, 00:26:31 duration
user/bmallred/data/2023-05-30-13-42-19.fit: 4.79 miles, 00:09:30 average pace, 00:45:30 duration
@prologic@twtxt.net You more or less need a data center to run one of these adequately (well, train…you can run a trained one with a little less hardware). I think that’s the idea–no one can run them locally, they have to rent them (and we know how much SaaS companies and VCs love the rental model of computing).
There’s a lot of promising research-grade work being done right now to produce models that can be run on a human-scale (not data-center-scale) computing setup. I suspect those will become more commonly deployed in the next few years.
user/bmallred/data/2023-05-28-05-52-21.fit: 8.44 miles, 00:10:17 average pace, 01:26:49 duration
user/bmallred/data/2023-05-26-16-39-47.fit: 3.12 miles, 00:07:44 average pace, 00:24:05 duration
**Polluter interests have no place in #COP28, when it is so obvious that they are part of the problem and not the solution.
@TimmermansEU must see this and act accordingly, or Europe’s presence in the COP runs the risk as being seen as a farce.**
Polluter interests have no place in #COP28, when it is so obvious that they are part of the problem and not the solution.
@TimmermansEU must see this and act accordingly, or … ⌘ Read more
user/bmallred/data/2023-05-24-05-23-52.fit: 3.03 miles, 00:09:40 average pace, 00:29:14 duration
Why Do Clocks Run Clockwise? | Neil deGrasse Tyson Explains… ⌘ Read more
user/bmallred/data/2023-05-23-06-04-39.fit: 2.27 miles, 00:09:03 average pace, 00:20:30 duration
user/bmallred/data/2023-05-23-05-42-04.fit: 3.20 miles, 00:06:05 average pace, 00:19:30 duration
user/bmallred/data/2023-05-21-06-02-34.fit: 9.37 miles, 00:10:09 average pace, 01:35:08 duration
user/bmallred/data/2023-05-18-06-05-10.fit: 2.51 miles, 00:09:04 average pace, 00:22:46 duration
user/bmallred/data/2023-05-18-05-32-02.fit: 5.18 miles, 00:06:01 average pace, 00:31:07 duration
user/bmallred/data/2023-05-17-09-14-01.fit: 1.03 miles, 00:10:13 average pace, 00:10:34 duration
user/bmallred/data/2023-05-17-08-39-15.fit: 3.12 miles, 00:08:30 average pace, 00:26:32 duration
Addressing GitHub’s recent availability issues
GitHub recently experienced several availability incidents, both long running and shorter duration. We have since mitigated these incidents and all systems are now operating normally. Read on for more details about what caused these incidents and what we’re doing to mitigate in the future. ⌘ Read more
Being Dead – Daydream
Austin’s Being Dead share the glorious and timeless new single/summer jam from one of our favorite albums of 2023, the band’s Bayonet debut When Horses Would Run, out July 14th… Continue reading… ⌘ Read more
user/bmallred/data/2023-05-16-05-37-20.fit: 4.73 miles, 00:09:09 average pace, 00:43:17 duration
@bmallred@nahongvita.run note to self: if planning to do a “burn boot camp” with the wife again don’t do a run beforehand or make sure you properly recover (hydrate you idiot!)
user/bmallred/data/2023-05-15-05-39-47.fit: 3.17 miles, 00:09:12 average pace, 00:29:09 duration
user/bmallred/data/2023-05-13-05-22-26.fit: 3.70 miles, 00:09:23 average pace, 00:34:42 duration
user/bmallred/data/2023-05-12-05-28-11.fit: 4.21 miles, 00:09:12 average pace, 00:38:44 duration
user/bmallred/data/2023-05-11-05-31-54.fit: 2.27 miles, 00:10:10 average pace, 00:23:02 duration
How To: Build and run Serenity OS
(In 5 easy steps) ⌘ Read more
@stigatle@yarn.stigatle.no @prologic@twtxt.net @eldersnake@we.loveprivacy.club I love VR too, and I wonder a lot whether it can help people with accessibility challenges, like low vision.
But Meta’s approach from the beginning almost seemed like a joke? My first thought was “are they trolling us?” There’s open source metaverse software like Vircadia that looks better than Meta’s demos (avatars have legs in Vircadia, ffs) and can already do virtual co-working. Vircadia developers hold their meetings within Vircadia, and there are virtual whiteboards and walls where you can run video feeds, calendars and web browsers. What is Meta spending all that money doing, if their visuals look so weak, and their co-working affordances aren’t there?
On top of that, Meta didn’t seem to put any kind of effort into moderating the content. There are already stories of bad things happening in Horizon Worlds, like gangs forming and harassing people off of it. Imagine what that’d look like if 1 billion people were using it the way Meta says they want.
Then, there are plenty of technical challenges left, like people feeling motion sickness or disoriented after using a headset for a long period of time. I haven’t heard announcements from Meta that they’re working on these or have made any advances in these.
All around, it never sounded serious to me, despite how much money Meta seems to be throwing at it. For something with so much promise, and so many obvious challenges to attack first that Meta seems to be ignoring, what are they even doing?
user/bmallred/data/2023-05-10-06-12-46.fit: 2.01 miles, 00:09:33 average pace, 00:19:12 duration
user/bmallred/data/2023-05-10-05-32-21.fit: 6.61 miles, 00:05:49 average pace, 00:38:27 duration
user/bmallred/data/2023-05-09-06-13-11.fit: 1.01 miles, 00:08:41 average pace, 00:08:48 duration
user/bmallred/data/2023-05-09-05-25-11.fit: 4.80 miles, 00:05:52 average pace, 00:28:09 duration