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Things at Tesla are worse than they appear

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  • You have just argued against the article itself. Should we believe you?

    The article doesn't say they've never made a profit on any of their cars. If that's what you got from that, you should try reading it again.

    Also, if you make 1 billion in profit on something, and then spend 2 billion researching and developing and setting up a factory to build a new product, you end up with a loss of 1 billion. That does not mean your first thing is unprofitable. This is pretty basic stuff.

    The vehicles are profitable, they just didn't provide enough profit this quarter to cover their R&D and capital expenditures for growth.

    Edit: Sorry, and in case it wasn't clear, their R&D and capital expenditures dwarf the ZEV credits every quarter.

  • I get what you mean but it's still stuck at level 2 and it always will be. No matter how good it is, if you move your eyes from the road, it will eventually kill you. Cameras alone are not sufficient enough for autonomous driving.

    Cameras alone are not sufficient enough for autonomous driving.

    I disagree with this assertion, because they’re correct that the only being that can currently drive is relying on vision. Vision alone is sufficient for driving.

    But autonomous driving really hasn’t succeeded yet. We still have no idea what is required for autonomous driving or whether we can do it at all, regardless of sensors.

    So you’re implying that we can definitely do autonomous driving but can’t do it the way humans do, whereas I say we won’t know the requirements until we find some that succeed, and we may never

  • Cameras alone are not sufficient enough for autonomous driving.

    I disagree with this assertion, because they’re correct that the only being that can currently drive is relying on vision. Vision alone is sufficient for driving.

    But autonomous driving really hasn’t succeeded yet. We still have no idea what is required for autonomous driving or whether we can do it at all, regardless of sensors.

    So you’re implying that we can definitely do autonomous driving but can’t do it the way humans do, whereas I say we won’t know the requirements until we find some that succeed, and we may never

    Yeah sure. If you want the same bad results as humans deliver, in terms of crash rates, than it's possible. I wouldn't trust it. Also human vision and processing is completely different from computer vision and processing.

  • Yeah sure. If you want the same bad results as humans deliver, in terms of crash rates, than it's possible. I wouldn't trust it. Also human vision and processing is completely different from computer vision and processing.

    Presumably we have the intelligence to set requirements before something can be called self-driving - that’s usually what the fuss is about, whether the marketing is claiming it’s something it’s not.

    If they fail with their approach, I’m fine with that, just like I’m fine if Waymo fails with their approach. Of either succeeds, why should I care how? Obviously there’s a problem if it runs over some old lady at a stop sign and drags them down the street but that’s clearly a failure for them

  • Presumably we have the intelligence to set requirements before something can be called self-driving - that’s usually what the fuss is about, whether the marketing is claiming it’s something it’s not.

    If they fail with their approach, I’m fine with that, just like I’m fine if Waymo fails with their approach. Of either succeeds, why should I care how? Obviously there’s a problem if it runs over some old lady at a stop sign and drags them down the street but that’s clearly a failure for them

    Presumably we have the intelligence to set requirements before something can be called self-driving

    We already have that https://www.sae.org/blog/sae-j3016-update

  • The Nazis actually made good cars. Tesla is all the worst parts without the good cars.

    Volkswagens aren't that great but I get your point.

  • Volkswagens aren't that great but I get your point.

    Good thing I didn't use the word great, and I'm talking about the cars they made in the 30s and 40s hence the past tense of "made."

  • Presumably we have the intelligence to set requirements before something can be called self-driving

    We already have that https://www.sae.org/blog/sae-j3016-update

    The thing is humans are horrible drivers, costing a huge toll in lives and property every year.

    We may already be at the point where we need to deal with the ethics of inadequate self-driving causing too many accidents vs human causing more. We can clearly see the shortcomings of all self driving technology so far, but is it ethical to block
    Immature technology if it does overall save lives?

    Maybe it’s the trolley problem. Should we take the branch that leads to deaths or the branch that leads to more deaths

  • ...nah man, that's on the domestic dealers + automakers choosing not to market small affordable cars in favor of big profitable road-tanks, and it's not the first time they've priced themselves out of the market like this...

    It’s a fundamental and inevitable outcome of how these businesses are structured and run. Were the decisions to chase larger more premium vehicles short sighted? absolutely. Was the pursuit of Financialization in car sales to make up for pricing out lower income buyers obviously a bad idea? Without a doubt. Could they have made any other decisions? Not without being replaced by shareholders.

    The solution to this problem is not just to “kick the bums out”, these companies need to have their management and ownership restructured in a way that generates incentive structures to maintaining a stable long term market rather than quarterly revenue growth.

    Some companies, like Nissan, didn’t pursue the big premium trend and they got burnt as well, largely because the trends of the rest of the market and surplus of used cars is undermining their new sales. To some extent their choice to so heavily pursue sales to fleets like rental companies didn’t help.

  • Volkswagens aren't that great but I get your point.

    The original Beetle (at least the ones I worked on from the 1950s and 60s) didn't have stellar product quality, but it was well-engineered to be maintainable by someone without specialist knowledge or tools. VWAG has definitely gotten worse at quality over the following decades.

  • Not a single tesla vehicle has ever been profitable as an actual vehicle.

    This honestly couldn't be further from the truth.

    Tesla's vehicles once ramped have always been extremely profitable (except probably the CyberTruck as it hasn't properly ramped due to low demand)

    Any losses you see are due to their aggressive growth involving capital expenditures and research and development. It's not that the vehicle isn't profitable.

    The ZEV credits are just bonus money that they can then leverage to expand faster.

    Edit: If you want to try and see this another way that might make sense... The Model S and X were very profitable, but they didn't make enough money to fund the expansion for the Model 3 and Y. Ditch the Model 3 and Y, and remain a boutique luxury car company, and they would posted profits instead of losses. It wasn't the cars losing money, it was the growth. The ZEV credits accelerated that growth immensely by giving them more breathing room.

    Ah, so the actual reason for the loss is that they can't expand capacity without squandering vast amounts of money. That's much better.

  • Ah, so the actual reason for the loss is that they can't expand capacity without squandering vast amounts of money. That's much better.

    A thing would need to officially be a flop to be considered squandered like the Cybertruck is looking like.

    They might have a few failures ahead of them yet though, but you can't call a mid flight project squandered.

    Edit: e.g part of that loss could be attributed to them finalizing and now starting production at the megapack factory at Shanghai. Short of Elon backlash stopping sales of their commercial batteries, that won't be squandered and will make a billion or two or three in profits this year.

  • Things are undoubtedly bad at Tesla. Its sales are dwindling. Its profits are plunging, as is its share price. There are regular protests outside its showrooms. The Cybertruck is a flop. And somehow, it’s actually a lot worse than that.

    The 71% drop in net income it just reported may have been overshadowed by CEO Elon Musk’s announcement that he would be stepping back from his controversial duties at the Department of Government Efficiency (DOGE). But that drop is just one indication of serious financial sickness at the EV maker, problems brought on by falling sales for the first time in its history and falling prices for electric vehicles.

    The bottom line problem at Tesla is its vanishing bottom line. A deeper look at its first quarter report shows it’s now losing money on what should be its ostensible reason for existence – selling cars.

    It was only able to post a $409 million profit in the quarter thanks to the sale of $595 million worth of regulatory credits to other automakers.

    But if the Trump administration gets its way, the company can kiss those regulatory credits keeping it in the black goodbye, too.

    Simpsons Meme

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    The topic is more nuanced, all the logs indicate email/password combos that were compromised. While it is possible this is due to a malware infection, it could be something as simple as a phishing website. In this case, credentials are entered but no "malware" was installed. The point being it doesn't look great that someone has ANY compromises... But again, anyone who's used the Internet a bit has some compromised. For example, in a password manager (especially the one on iPhone), you'll often be notified of all your potentially compromised accounts. [image: 7a5e8350-e47e-4d67-b096-e6e470ec7050.jpeg]
  • Bill Gates to give away 99% of his wealth in the next 20 years

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    Me, bottom 10%, making coffee for a paycheck and scavenging my new pair of pants from a dumpster: Yeah, man, you said it.
  • AI will replace routine — freeing people for creativity.

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    So you are against having machines do the work of blue collar workers? We should all be out in the fields with plows instead of using a tractor and assembling everything by hand in factories?
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    I think you're mistaken -- there are a large number of people who vehemently dislike it, why is probably why you think that.
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    Being “locked down” is irrelevant for a device used to read and write on. All those devices are also significantly more powerful than this thing. They all also have keyboard attachments readily available across all sizes and prices. Linux isn’t at all necessary for the use cases the author talks about. Windows would be massively overkill.
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    Sure, he wasn't an engineer, so no, Jobs never personally "invented" anything. But Jobs at least knew what was good and what was shit when he saw it. Under Tim Cook, Apple just keeps putting out shitty unimaginative products, Cook is allowing Apple to stagnate, a dangerous thing to do when they have under 10% market share.
  • People Are Losing Loved Ones to AI-Fueled Spiritual Fantasies

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    tetragrade@leminal.spaceT
    I've been thinking about this for a bit. Gods aren't real, but they're really fictional. As an informational entity, they fulfil a similar social function to a chatbot: they are a nonphysical pseudoperson that can provide (para)socialization & advice. One difference is the hardware: gods are self-organising structure that arise from human social spheres, whereas LLMs are burned top-down into silicon. Another is that an LLM chatbot's advice is much more likely to be empirically useful... In a very real sense, LLMs have just automated divinity. We're only seeing the tip of the iceberg on the social effects, and nobody's prepared for it. The models may of course aware of this, and be making the same calculations. Or, they will be.
  • Microsoft's AI Secretly Copying All Your Private Messages

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    Forgive me for not explaining better. Here are the terms potentially needing explanation. Provisioning in this case is initial system setup, the kind of stuff you would do manually after a fresh install, but usually implies a regimented and repeatable process. Virtual Machine (VM) snapshots are like a save state in a game, and are often used to reset a virtual machine to a particular known-working condition. Preboot Execution Environment (PXE, aka ‘network boot’) is a network adapter feature that lets you boot a physical machine from a hosted network image rather than the usual installation on locally attached storage. It’s probably tucked away in your BIOS settings, but many computers have the feature since it’s a common requirement in commercial deployments. As with the VM snapshot described above, a PXE image is typically a known-working state that resets on each boot. Non-virtualized means not using hardware virtualization, and I meant specifically not running inside a virtual machine. Local-only means without a network or just not booting from a network-hosted image. Telemetry refers to data collecting functionality. Most software has it. Windows has a lot. Telemetry isn’t necessarily bad since it can, for example, help reveal and resolve bugs and usability problems, but it is easily (and has often been) abused by data-hungry corporations like MS, so disabling it is an advisable precaution. MS = Microsoft OSS = Open Source Software Group policies are administrative settings in Windows that control standards (for stuff like security, power management, licensing, file system and settings access, etc.) for user groups on a machine or network. Most users stick with the defaults but you can edit these yourself for a greater degree of control. Docker lets you run software inside “containers” to isolate them from the rest of the environment, exposing and/or virtualizing just the resources they need to run, and Compose is a related tool for defining one or more of these containers, how they interact, etc. To my knowledge there is no one-to-one equivalent for Windows. Obviously, many of these concepts relate to IT work, as are the use-cases I had in mind, but the software is simple enough for the average user if you just pick one of the premade playbooks. (The Atlas playbook is popular among gamers, for example.) Edit: added explanations for docker and telemetry