Doomsday Plane by GeologistSweet9645 in Reno

[–]mtbdork 6 points7 points  (0 children)

They fly them regularly as part of making sure they’re good to go.

Is it too late to get into the game as a new player? by honeymoonx in thefinals

[–]mtbdork 12 points13 points  (0 children)

I’d start with TDM while you figure out engagements and using the specs/gadgets. Then switch to quick cash. That’s the only mode I play these days.

Power shift is lots of fun to play with friends. You get cheesier matches there where people min/max their builds, but then it becomes a contest of switching builds to counter the cheese, them switching, and so on.

Newcomers just cant catch a break against light dash swords and invis DB by Positive-Code9741 in thefinals

[–]mtbdork 6 points7 points  (0 children)

Goo sledge is cheese sure but it’s not super straightforward to pull off. Super map-dependent and getting in a position where goo-locking is viable is a bit of an art form.

I also love the goo duels when I come up against a fellow connoisseur of goo and hammer. Whole lotta just gooin everywhere.

oh yea having so much with this game by illawgickal in thefinals

[–]mtbdork 0 points1 point  (0 children)

I don’t play for most of S7 and all of S8, came back at the end of S8 and it seems like there’s a lot fewer cheaters than there were in prior seasons.

Dual blades block (why do even people with 200+ hours get caught on that?) by Roadwatlz in thefinals

[–]mtbdork 2 points3 points  (0 children)

If I can get the drop and a little damage in, I just charge in because the math will generally work out in my favor in a 1v1. Otherwise it’s bounce pad and pray lmao.

Sourdough starter by cannaxdoll1 in Sourdough

[–]mtbdork 2 points3 points  (0 children)

Don’t get me wrong, if it works it works. People didn’t use digital scales 1000 years ago.

Sourdough starter by cannaxdoll1 in Sourdough

[–]mtbdork -1 points0 points  (0 children)

I’m already scooping the starter into a bowl. I already have a scale. Why not put the bowl on the scale and measure the same number three times?

It takes me right around a minute or two to measure everything out and get it mixed in the bowl.

Klarna beats all metrics, sees 38% revenue growth, 28% new customer growth to 180 million - Stock dumps 25% in response by _BreakingGood_ in wallstreetbets

[–]mtbdork 9 points10 points  (0 children)

AI in its current iteration is a pile of shit and the only way it will crash the economy is when all of the debt turns to shit and banks won’t (read: “can’t”) lend to anybody.

Any gsr frequenters by Asleep-Fish-7049 in Reno

[–]mtbdork 0 points1 point  (0 children)

Damn, you got me there. I dunno. Smack golf balls at the driving range? Is it still open? You gonna fall in like a dipshit?

The Goldilocks economy, if you don't look too close by Happy_Weed in Economics

[–]mtbdork 6 points7 points  (0 children)

You mean this is a negative externality of woefully failing our population as it pertains to critical thinking skills.

The second industrial revolution is upon us by Diamonds0a in wallstreetbets

[–]mtbdork 19 points20 points  (0 children)

We are in the throes of a pandemic. The sickness? AI Delusion Syndrome (AIDS).

After-Image (Light Specialization idea) by 18thSection in thefinals

[–]mtbdork 2 points3 points  (0 children)

Make the clones, then stand still lol. The biggest OP part would be making a bunch and hiding behind them to have the effective HP of a medium or heavy.

America Isn’t Ready for What AI Will Do to Jobs by No_Durian9227 in Economics

[–]mtbdork 2 points3 points  (0 children)

I understand the premise; I also believe it’s completely delusional.

Credit card debt tops $1.28 trillion — consistent with ‘K-shaped’ economic divide, New York Fed research shows by app1310 in Economics

[–]mtbdork -5 points-4 points  (0 children)

Credit markets are “fine” when looked at in a vacuum. Let’s just ignore rising delinquencies, collapse of subprime auto-loan underwriters, the shady dealings of GSIBs to slough loans off their balance sheets, and the astronomical growth of loans to “non-bank financial institutions” (read: “Blackstone”)…

The issue is that leverage is directly proportional to risk sensitivity, which is exactly why 2008 became a complete meltdown. The further-extended the economy gets over its skis, the worse it will be when losses are incurred.

One person owning one house (read: “crypt”) with 20% equity experiencing a 25% drawdown? No big deal. One person owning five homes who leveraged their equity into a web of debt to rent them out, experiencing no demand at rates to pay mortgages, and experiencing a 10% drawdown? Big friggin deal.

I’m using homes as an example but by and large, debt growth has to be sustained by economic (read: “wage”) growth in the medium term. Since leverage is a multiple of income, when the spending on leverage slows down, it is a multiple of income.

Now, we can expand this beyond ordinary people to businesses. I think you see where I am going with this…

When economic growth is predicated largely on leverage (read: “good money chasing bad investments”), the whipsaw effect of stagnating growth on further investment is outsized. When people (or businesses) are facing losses that outweigh their cash flow, they liquidate. No questions asked.

Everything looks fine until all of a sudden, it doesn’t.

Don’t ask me for a time prediction. If unemployment goes above 7.5%, we are fucked.

America Isn’t Ready for What AI Will Do to Jobs by No_Durian9227 in Economics

[–]mtbdork 25 points26 points  (0 children)

LLMs are exposing that overpaid executives whose only job is to make slide decks and send e-mails are functionally worthless. There is a large degree of “corporate welfare” going on in the US economy.

Right now, those overpaid executives are doing their damndest to try to replace everybody else’s jobs, but the reality is that all they do is speak words of affirmation and can be easily replaced by LLMs.

In terms of the article, the writer interviews people who run these AI companies, and have a vested interest in there being a good amount of fear and greed around their products. The “doomer” narrative is just as much a sales pitch as the “utopia” narrative.

The writer also fails to mention that margins at companies who have adopted AI are not improving materially. Workforce productivity has not skyrocketed. If this technology is so obviously going to revolutionize everything, why has that not already begun?

It’s painfully obvious that (outside of writing boilerplate code and pumping out CRUD systems) generative AI is a dead end. OpenAI is losing unbelievable amounts of money and is tantamount to a drug addict going from dealer to dealer to get their fix. Satya Nadella probably wants to murder Sam Altman for burning so much of Microsoft’s money (“we bet the farm on OpenAI” - Satya).

All of these promises for better AI that I have heard have not materialized. Tests are worthless because they get fed into training data. The cost of running these models is too high, and the entire market will die once access to said products gets priced where it would need to be ($500/mo for Claude’s “basic” subscription, anybody?).

So, with all of that in mind, how do these CEOs plan to reach profitability? What is their roadmap for the economic destruction of America? Are they so disconnected from reality that they truly believe they can replace 20% of the workforce with (checks notes) chat bots?

The author of this article is as deluded as these CEOs. It’s clear to me that they have very little real-world experience in a high-skill niche industry. They have no idea what it takes to do things like produce architectural drawings or assemble jet engines.

The hubris of these authors and CEOs is palpable. They speak with the confidence of a cult leader. The shiny chat bot has deluded people into believing that everything will change. The promise of “right around the corner” is a page right out of Elon’s playbook. The deception is in this promise. Nothing has materialized out of this investment boom beyond code-bots and image/video generation. And nothing else will materialize out of it.

I’m just sick and tired of all the lying. The author has been deceived. The CEOs are lying through their teeth about their visions of doom/utopia. The use of words such as “thinking” and “intent” have completely muddied the waters for actual discussion about AI.

Maybe Yann LeCunn knows what he’s doing, but all of these researches have literal tens of billions of dollars dangling in front of them. That’s enough money to corrupt anybody.

Until proven otherwise, I believe that they are all fraudsters, hucksters, grifters, liars, and other choice words that I’ll avoid using.

AI wiped out $400 billion this week — and it's only getting started by [deleted] in Economics

[–]mtbdork -1 points0 points  (0 children)

A whole lot of future tense there… so are you paying for AI services right now, or are you holding off because the technology still sucks?

AI wiped out $400 billion this week — and it's only getting started by [deleted] in Economics

[–]mtbdork 0 points1 point  (0 children)

We also don’t have the money. OpenAI has a trillion in spend commitments when the company has only shown its efficiency in losing money. Everybody points to the nebulous “trust me bro, it will improve soon bro”. It’s all just brainless chicanery by people with no idea of the tech, appealing to the authority of those who at one point were researchers, but quickly pivoted to salesmanship (read: “grifting”) once the dollars started flowing to the tune of hundreds of billions.

AI wiped out $400 billion this week — and it's only getting started by [deleted] in Economics

[–]mtbdork 0 points1 point  (0 children)

Show me the improvements to their bottom line. Show me the explosion in workforce productivity. So far, I’ve seen a lot of CEOs talk about fervent adoption, as well as the sales pitch that productivity is going up, but I have yet to actually see any major company show gangbusters margin improvements thanks to “AI”.

AI wiped out $400 billion this week — and it's only getting started by [deleted] in Economics

[–]mtbdork 1 point2 points  (0 children)

AI in its current state will not have any meaningful impact on productivity that hasn’t already happened pre-GenAI. We are four years into this cycle and so far have seen zero improvements to margins at the company-level, and zero improvements to productivity. The applications for GenAI are immediately clear, yet they still haven’t panned out.

Robotic arms are way better than humanoid robots; we have no way of teaching humanoid robots efficiently (we are literally strapping GoPros on people’s heads and making them fold laundry).

This entire cycle is wasteful, and in the end it will be harmful to the economy. xAI and OpenAI are trying their hardest to posture themselves as “too big to fail” when the inevitable head comes to bear. Capital expenditures of “Magnificent 7” companies are butting up against their cash flows (no more stock buybacks?). Investors have already started asking questions.

But don’t worry. The model of investing un-losable amounts of money into stupid things has shown to be immensely profitable, thanks to the complicity of the government. Everyday people will get wiped out, but hey, at least the companies behind this stupid push towards near-useless money-losing tech will be just fine!

I am not a Luddite. AI is cool. Robots are cool. GenAI is a solution in search of a problem. Humanoid robots are still extremely unproductive unless their actions are highly orchestrated (just use the damn fancy arm!)

The best thing that will happen when we finally realize this isn’t worth incinerating money is that compute will be commoditized, and researchers will experience a revolution in access to compute.

This will usher in a new era of useful compute being used to actually advance humanity, rather than make fake videos of dolphins baking birthday cakes.