An established cybercrime group with a track record of attacking political targets posted on Tuesday roughly two gigabytes of data from the Heritage Foundation, a prominent conservative think tank based in Washington, D.C.

Self-described “gay furry hackers,” SiegedSec said it released the data in response to Heritage Foundation’s Project 2025, a set of proposals that aim to give Donald Trump a set of ready-made policies to implement if he wins this fall’s election.

The data includes the “full names, email addresses, passwords, and usernames” of people associating with Heritage, vio said, including users with U.S. government email addresses.

The attack was carried out as part of SiegedSec’s “OpTransRights,” campaign, which has previously included the defacement of government websites and data theft from states either considering or implementing anti-abortion or anti-trans legislation.

SiegedSec, which emerged on Telegram in April 2022, has also targeted various NATO portals, the city of Fort Worth and a company involved in the monitoring of offshore oil and gas facilities.

I hope to buy a split mechanichal keyboard (Leaning towards the Sofle with Gateron Milky Yellows) with the remaining wiggle room. I already own a decent mouse.

Dunno if this is off topic, mods feel free to delete if it is, but I picked up a laptop that's a couple years old that needs a fan replacement. I've done a little googling but it's not clear which part(s) I need, where I could buy it, and if it would even be cost-effective to replace anyway.

I can post pics/more info in a couple hours, but in the meantime could anyone point me in the right direction where I can buy laptop fans or a guide on figuring out which fan I would need? I'm not worried about voiding any warranty or anything like that

Edit: the model number is 15-ek0018ca if that helps!

In the company’s zany promo video, a voiceover promises Eve will protect owners from burglars, unwanted animal guests, and any hapless passersby who fail to heed its “zero compliance, zero tolerance” warning.

The consequences for shrugging off Eve’s threats: Getting blasted with paintballs, or perhaps even teargas pellets.

This will signal to the suburban betas that you are the alpha of Cape Coral, FL.

PaintCam’s Kickstarter is set to go live on April 23. No word on release date for now...

Oh it's a scam, how much money did they raise?

€74,190 pledged of €12,000 goal

LOL what's getting developed with 12k of anything? Add a zero to the end of that and maybe you get 1/4th of what's promised here.

A week and a half ago, Goldman Sachs put out a 31-page-report (titled "Gen AI: Too Much Spend, Too Little Benefit?”) that includes some of the most damning literature on generative AI I've ever seen.

The report includes an interview with economist Daron Acemoglu of MIT (page 4), an Institute Professor who published a paper back in May called "The Simple Macroeconomics of AI" that argued that "the upside to US productivity and, consequently, GDP growth from generative AI will likely prove much more limited than many forecasters expect." A month has only made Acemoglu more pessimistic, declaring that "truly transformative changes won't happen quickly and few – if any – will likely occur within the next 10 years," and that generative AI's ability to affect global productivity is low because "many of the tasks that humans currently perform...are multi-faceted and require real-world interaction, which AI won't be able to materially improve anytime soon."

What makes this interview – and really, this paper — so remarkable is how thoroughly and aggressively it attacks every bit of marketing collateral the AI movement has. Acemoglu specifically questions the belief that AI models will simply get more powerful as we throw more data and GPU capacity at them, and specifically ask a question: what does it mean to "double AI's capabilities"? How does that actually make something like, say, a customer service rep better?

While Acemoglu has some positive things to say — for example, that AI models could be trained to help scientists conceive of and test new materials (which happened last year) — his general verdict is quite harsh: that using generative AI and "too much automation too soon could create bottlenecks and other problems for firms that no longer have the flexibility and trouble-shooting capabilities that human capital provides." In essence, replacing humans with AI might break everything if you're one of those bosses that doesn't actually know what the fuck it is they're talking about.

every commentator (both pro and ai-sceptic) seems to not be aware of science in protein designs and docking, where ml is actually doing fantastic things, never before done level of stuff, and can conceivably do drug design much faster (the issue there is, once its done, you don't need to reinvent protein chain making a drug/compound for pennies). For drug design revenues however - the cost of design pales in comparison to clinical trials (10-100 mlns compared to 1-3 billions)

Covello believes that the combined expenditure of all parts of the generative AI boom — data centers, utilities and applications — will cost a trillion dollars in the next several years alone, and asks one very simple question: "what trillion dollar problem will AI solve?" He notes that "replacing low-wage jobs with tremendously costly technology is basically the polar opposite of the prior technology transitions [he's] witnessed in the last thirty years."

In plain English: generative AI isn't making any money for anybody because it doesn't actually make companies that use it any extra money. Efficiency is useful, but it is not company-defining. He also adds that hyperscalers like Google and Microsoft will "also garner incremental revenue" from AI — not the huge returns they’re perhaps counting on, given their vast AI-related expenditure over the past two years.

Just because the internet of things was two hype cycles ago doesn't mean we can't still dunk on it.

CNN — AI images have become an unavoidable roadside attraction on Facebook and other social media, where dramatic and outlandish depictions of emotional scenes lure users into doling out likes, shares and “Amens.”

Among the funhouse images of fake children crying in the street and police officers saving inexplicably huge Bibles from the rain, countless depictions of Jesus Christ seem to take up an outsized amount of AI real estate.

It makes sense. The central figure of Christianity invokes potent reactions from billions of followers around the globe. For the last 2,000 years, faithful hands have labored to create likenesses of their professed savior, projecting onto him various theologies and mythologies combined with aesthetics of the time: Jesus suffering on the cross, Jesus as the Good Shepherd, Jesus the creator of miracles, Jesus the word made flesh, Jesus as cosmic judge.

Now, in the age of AI, Jesus can assume an infinite variety of roles with just a few keystrokes. Jesus as a durian fruit, for instance. Or Jesus battling shirtless with Satan. Sometimes, Jesus is cuddling a person in need in a hospital bed, his chiseled features and strong hands providing divine comfort.

None of these things are in the Bible, but they are alive in the minds of particularly imaginative Christians, or just those who want some easy engagement on Facebook.

What’s unsettling is how many AI-created images of Jesus are unnecessarily handsome and rugged, like one of those Instagram influencers who wears a lot of pendants and is always wandering barefoot through an island jungle.

There’s nothing wrong with that, per se. The Bible doesn’t get specific about Jesus’ looks, and certainly artists over the millennia have taken creative license when it comes to his physique (and, to a different point, his skin tone).

However, generative AI, like the kind that can create images from text prompts, doesn’t work like an artist’s brain. All of these handsome AI Jesus images are created from patterns a machine picks up from the information it is fed. What does that say about us, and how we view the figures most important to our cultural identities?

wasn't there c/the_dunk_tank posts about this lmao

My modded minecraft was stuttering and eventually crashed, figured it it was either not enough RAM or an issue with the pack. Turns out it was HUNDREDS of duplicates of OmenInstallMonitor.exe eating up 99% of my 32gb of RAM. Thankfully other people had already figured out the fix so that wasn't too hard but it's just kinda crazy that such a thing can happen.

https://archive.ph/XTvX7

EDIT: Not a scam, see git's comment below.

So I downloaded the No Thanks app, which claims to be a barcode scanner app to tell you whether a product is BDS-compliant. I heard about it after it made the rounds under the narrative of "zionists are mobbing this app with bad reviews saying it's a scam, download it and leave a positive review!"

However, after using it I suspect it might actually be a scam app. Here's why: if you scan a product it tells you whether it's on a boycott list or not. If it isn't on a boycott list, you have the option to press a button to tell them it should be. Then the possible scam kicks in: it pops open a browser window taking you to the gmail web login. Not OAuth, not opening the system mail app with a template mail, straight to the gmail web login screen where you are expected to input your username + password + 2FA. I got all the way to putting in my username + password before being prompted for 2FA and realizing what I was doing was fucking stupid. Changed my gmail password immediately afterward.

Does anybody have any info on whether this thing is legit? It seems like it would make a pretty obvious zionist astroturfing target. Also I scanned a container of tahini that literally said "Product of Israel" on the side and it said it was fine (which precipitated the above sequence of events).

Take it directly from the horse's mouth (some silicon VC):

In September 2023, I published AI’s $200B Question. The goal of the piece was to ask the question: “Where is all the revenue?”

At that time, I noticed a big gap between the revenue expectations implied by the AI infrastructure build-out, and actual revenue growth in the AI ecosystem, which is also a proxy for end-user value. I described this as a “$125B hole that needs to be filled for each year of CapEx at today’s levels.”

This week, Nvidia completed its ascent to become the most valuable company in the world. In the weeks leading up to this, I’ve received numerous requests for the updated math behind my analysis. Has AI’s $200B question been solved, or exacerbated?

If you run this analysis again today, here are the results you get: AI’s $200B question is now AI’s $600B question.

Other interesting parts include the admission (honestly less of an admission than "the thing these people say repeatedly") that I first read in Peter Thiel's book Zero to One that capitalists aren't seeking out competitive markets, they're seeking out monopoly markets:

In the case of physical infrastructure build outs, there is some intrinsic value associated with the infrastructure you are building. If you own the tracks between San Francisco and Los Angeles, you likely have some kind of monopolistic pricing power, because there can only be so many tracks laid between place A and place B. In the case of GPU data centers, there is much less pricing power. GPU computing is increasingly turning into a commodity, metered per hour. Unlike the CPU cloud, which became an oligopoly, new entrants building dedicated AI clouds continue to flood the market. Without a monopoly or oligopoly, high fixed cost + low marginal cost businesses almost always see prices competed down to marginal cost (e.g., airlines).

One final interesting quote:

Speculative frenzies are part of technology, and so they are not something to be afraid of. Those who remain level-headed through this moment have the chance to build extremely important companies. But we need to make sure not to believe in the delusion that has now spread from Silicon Valley to the rest of the country, and indeed the world. That delusion says that we’re all going to get rich quick, because AGI is coming tomorrow, and we all need to stockpile the only valuable resource, which is GPUs.

Didn't know this was an actual mindset in the industry, god damn.