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
⌘ Read more

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

#running

user/bmallred/data/2023-06-01-05-37-12.fit: 7.41 miles, 00:06:05 average pace, 00:45:04 duration

#cycling

user/bmallred/data/2023-05-31-11-16-44.fit: 3.04 miles, 00:08:44 average pace, 00:26:31 duration

#running

user/bmallred/data/2023-05-30-13-42-19.fit: 4.79 miles, 00:09:30 average pace, 00:45:30 duration

#running

@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

#running

user/bmallred/data/2023-05-26-16-39-47.fit: 3.12 miles, 00:07:44 average pace, 00:24:05 duration

#running

user/bmallred/data/2023-05-24-05-23-52.fit: 3.03 miles, 00:09:40 average pace, 00:29:14 duration

#running

user/bmallred/data/2023-05-23-06-04-39.fit: 2.27 miles, 00:09:03 average pace, 00:20:30 duration

#running

user/bmallred/data/2023-05-23-05-42-04.fit: 3.20 miles, 00:06:05 average pace, 00:19:30 duration

#cycling

user/bmallred/data/2023-05-21-06-02-34.fit: 9.37 miles, 00:10:09 average pace, 01:35:08 duration

#running

user/bmallred/data/2023-05-18-06-05-10.fit: 2.51 miles, 00:09:04 average pace, 00:22:46 duration

#running

user/bmallred/data/2023-05-18-05-32-02.fit: 5.18 miles, 00:06:01 average pace, 00:31:07 duration

#cycling

user/bmallred/data/2023-05-17-09-14-01.fit: 1.03 miles, 00:10:13 average pace, 00:10:34 duration

#running

user/bmallred/data/2023-05-17-08-39-15.fit: 3.12 miles, 00:08:30 average pace, 00:26:32 duration

#running

user/bmallred/data/2023-05-16-05-37-20.fit: 4.73 miles, 00:09:09 average pace, 00:43:17 duration

#running

TornadoVM Continues Adapting Java OpenJDK/GraalVM For Heterogeneous Hardware
A new release of TornadoVM is now available, the open-source plug-in to OpenJDK and GraalVM to allow for Java code to run on heterogeneous hardware with ease – including various GPU models as well as FPGAs… ⌘ Read more

@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

#running

user/bmallred/data/2023-05-13-05-22-26.fit: 3.70 miles, 00:09:23 average pace, 00:34:42 duration

#running

user/bmallred/data/2023-05-12-05-28-11.fit: 4.21 miles, 00:09:12 average pace, 00:38:44 duration

#running

user/bmallred/data/2023-05-11-05-31-54.fit: 2.27 miles, 00:10:10 average pace, 00:23:02 duration

#running

@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

#running

user/bmallred/data/2023-05-10-05-32-21.fit: 6.61 miles, 00:05:49 average pace, 00:38:27 duration

#cycling

user/bmallred/data/2023-05-09-06-13-11.fit: 1.01 miles, 00:08:41 average pace, 00:08:48 duration

#running

user/bmallred/data/2023-05-09-05-25-11.fit: 4.80 miles, 00:05:52 average pace, 00:28:09 duration

#cycling

user/bmallred/data/2023-05-08-05-42-10.fit: 5.70 miles, 00:06:01 average pace, 00:34:18 duration

#cycling

@bmallred@nahongvita.run the run was fine and no issues from it. but taking note that after the run my son stepped on my right foot and it has been extremely painful since. even walking the kids back and forth has been a chore.

@prologic@twtxt.net I know very little about it, but speaking secondhand, it looks like there’s a single centralized server now and they’re still building the ability to federate? Like, the current alpha they’re running is not field testing federation, which makes me think that’s not a top priority for them.

user/bmallred/data/2023-05-03-05-25-05.fit: 6.89 miles, 00:06:26 average pace, 00:44:22 duration

#cycling

They haven’t written the federation code yet. Its literally run on the staging instance. People are paying to access the alpha. Though if you want a code to see what all the fuss is about there are a few with invites around here.

user/bmallred/data/2023-05-02-05-16-23.fit: 4.06 miles, 00:09:03 average pace, 00:36:46 duration

#running

user/bmallred/data/2023-04-30-06-18-37.fit: 6.05 miles, 00:08:54 average pace, 00:53:48 duration

#running

BlueSky is cosplaying decentralization

I say “ostensibly decentralized”, because BlueSky’s (henceforth referred to as “BS” here) decentralization is a similar kind of decentralization as with cryptocurrencies: sure, you can run your own node (in BS case: “personal data servers”), but that does not give you basically any meaningful agency in the system.

I don’t know why anyone would want to use this crap. It’s the same old same old and it’ll end up the same old way.

user/bmallred/data/2023-04-27-06-05-04.fit: 3.14 miles, 00:08:12 average pace, 00:25:44 duration

#running

user/bmallred/data/2023-04-26-06-36-29.fit: 2.18 miles, 00:08:33 average pace, 00:18:39 duration

#running

user/bmallred/data/2023-04-26-06-10-38.fit: 3.01 miles, 00:06:45 average pace, 00:20:20 duration

#cycling

user/bmallred/data/2023-04-25-05-42-48.fit: 3.13 miles, 00:08:17 average pace, 00:25:59 duration

#running

user/bmallred/data/2023-04-25-05-23-56.fit: 3.02 miles, 00:05:39 average pace, 00:17:04 duration

#cycling

@prologic@twtxt.net @carsten@yarn.zn80.net

There is (I assure you there will be, don’t know what it is yet…) a price to be paid for this convenience.

Exactly prologic, and that’s why I’m negative about these sorts of things. I’m almost 50, I’ve been around this tech hype cycle a bunch of times. Look at what happened with Facebook. When it first appeared, people loved it and signed up and shared incredibly detailed information about themselves on it. Facebook made it very easy and convenient for almost anyone, even people who had limited understanding of the internet or computers, to get connected with their friends and family. And now here we are today, where 80% of people in surveys say they don’t trust Facebook with their private data, where they think Facebook commits crimes and should be broken up or at least taken to task in a big way, etc etc etc. Facebook has been fined many billions of dollars and faces endless federal lawsuits in the US alone for its horrible practices. Yet Facebook is still exploitative. It’s a societal cancer.

All signs suggest this generative AI stuff is going to go exactly the same way. That is the inevitable course of these things in the present climate, because the tech sector is largely run by sociopathic billionaires, because the tech sector is not regulated in any meaningful way, and because the tech press / tech media has no scruples. Some new tech thing generates hype, people get excited and sign up to use it, then when the people who own the tech think they have a critical mass of users, they clamp everything down and start doing whatever it is they wanted to do from the start. They’ll break laws, steal your shit, cause mass suffering, who knows what. They won’t stop until they are stopped by mass protest from us, and the government action that follows.

That’s a huge price to pay for a little bit of convenience, a price we pay and continue to pay for decades. We all know better by now. Why do we keep doing this to ourselves? It doesn’t make sense. It’s insane.

@carsten@yarn.zn80.net

I have to write so many emails to so many idiots who have no idea what they are doing

So it sounds to me like the pressure is to reduce how much time you waste on idiots, which to my mind is a very good reason to use a text generator! I guess in that case you don’t mind too much whether the company making the AI owns your prompt text?

I’d really like to see tools like this that you can run on your desktop or phone, so they don’t send your hard work off to someone else and give a company a chance to take it from you.

user/bmallred/data/2023-04-23-05-31-57.fit: 5.33 miles, 00:09:49 average pace, 00:52:18 duration

#running

user/bmallred/data/2023-04-20-05-26-53.fit: 10.16 miles, 00:06:26 average pace, 01:05:25 duration

#cycling

user/bmallred/data/2023-04-19-11-00-15.fit: 5.82 miles, 00:06:23 average pace, 00:37:08 duration

#cycling

@prologic@twtxt.net yeah. I’d add “Big Data” to that hype list, and I’m sure there are a bunch more that I’m forgetting.

On the topic of a GPU cluster, the optimal design is going to depend a lot on what workloads you intend to run on it. The weakest link in these things is the data transfer rate, but that won’t matter too much for compute-heavy workloads. If your workloads are going to involve a lot of data, though, you’d be better off with a smaller number of high-VRAM cards than with a larger number of interconnected cards. I guess that’s hardware engineering 101 stuff, but still…

user/bmallred/data/2023-04-17-05-34-27.fit: 5.32 miles, 00:08:03 average pace, 00:42:50 duration

#cycling