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Cake day: June 16th, 2023

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  • There’s a difference.

    When Daren goes 80 in a 30, they actually might be punished as that abuse is recognized and penalized.

    With LLMs, there’s no such thing as consequences for the bad uses, only rewards.

    Internet video feeds are chock full of slop now because that is rewarded. Video platforms are even making “AI remix” buttons to accelerate taking an actual video with thought and effort behind it into uninspired slop. People are making knockoffs left and right but the courts are largely ruling that AI is ‘transformative’ so those knockoffs that a human would get sued over are getting passes. Managers are micromanaging worker use of AI in hopes that maybe they can prove they can fire most of them.

    LLMs enable the worst users more than they enable good users. In software development, the responsible operation of an LLM might speed up a developer 20-50%, depending on the context. An irresponsible one that just assumes the output is good will post a whole lot of crap. Same for all fronts, prose, video production, music. People who care about the medium can get some speedups, but people who are just lazy, uninspired, but see an opportunity can drown out the quality content.






  • YouTube started in 2005, but was not really a “streaming service”, it hosted random internet posted videos. The concept of engaging with the big content rights holders wasn’t remotely in sight back then.

    Hulu came out a year after Netflix started streaming, by about a year. Hulu was inspired by Netflix’s move to have actual traditional media content as a streaming service instead of ad-hoc video uploads like youtube.

    RealPlayer offered technology for websites to provide videos, they themselves I don’t recall being a streaming platform in and of itself.

    Whatever one may say about Netflix, they were right there in the beginning with streaming traditional, professional media content. Yes, video playback over the internet wasn’t new, but that’s a technical detail that enables, but is not the core of the “streaming service” business model.


  • The thing is this really depends on the speed of some financial events, not some technical failing.

    Notably, if OpenAI has to cancel any of their commitments to buy hardware because they find they have neither the money nor can secure even more debt to cover, that event would potentially cause the bubble to pop, even for hypothetical companies that may have been more responsible and might have a viable business approach. Those commitments are coming up, and a lot of analysis struggles to see how they will fund those commitments.

    The thing with this bubble is that the investors don’t get the nuance and will flee at signs of trouble in any of OpenAI, Anthropic, or a handful of others, and Altman’s leadership has made trouble at OpenAI very likely, but the investors don’t believe it and won’t believe it’s unique to OpenAI, even if it would be.



  • Plus they have a hook with the common folk, the phone steers you toward Gemini (Android phones, obviously, and Apple currently partners with Google for Gemini for iPhone…).

    For Claude and OpenAI, you have to explicitly want to go out of your way to use them, or use them indirectly through another service that has a hook.

    Claude seems to have some software developers explicitly preferring them, though a alot of the corporate money is on Microsoft and Microsoft leveraged Visual Studio and Github to become the business-friendly frontend, and sure, you can use Anthropic models too… Though Microsoft ultimately has control of what is reasonably available and how much each one costs. Anthropic has a shot but I could see Microsoft pivot to really mess with Anthropic. The one gap in Microsoft strategy is the “native AI” workflow where Claude Code has won hearts and minds, but it uses massively more tokens for frankly marginal or sometimes negative value compared to a more curated use in-editor.

    OpenAI I see as the most exposed. Lot’s of data showing they are suffering from people being over the fad of going out of their way to use ChatGPT, especially since their phones have started embracing ‘default’ Chatbot. Software developers that are inclined to use LLM are also inclined to be pretty dismissive of anything other than either Anthropic or open weight models, depending on their inclination. Also Altman seemed the most agressive in committing to spending money they didn’t have, though all of them exhibit this to some extent.

    I predict Microsoft ultimately pivots to in-house models and convinces the businesses to go that way. Apple may continue with Gemini or roll their own eventually. Anthropic currently has the stronger position between OpenAI and them, but I think you are right that both have risk of just being left behind.





  • You have a rough point, but a $20k delta is too much. Thankfully, the comparison is between a “special” car and a boring workhorse, so the price delta isn’t reflective of the practical choices. 7-passenger PV5 looks to be about $50k, so less than $10k delta between a Sienna and a comparable EV van. Still a pretty big gap, especially to take up front, but closer to reasonable given your reasons. We are seeing the gap close more aggressively in the 5-passenger segment, but 3-row still has been focused on EV only for ‘premium’ experience.


  • People talk about that topic all the time.

    The drive train generally doesn’t need service. You don’t have to change oil, you don’t have to change transmission fluid, your transmission probably won’t grind itself into metallic dust because the transmission is a single speed and it’s certainly not a CVT. You don’t have a timing belt to change, or a serpentine belt to change, or an air filter to change. You don’t have to sweat an emissions problem, you don’t have to worry about error codes about running too rich or too lean. You don’t have to worry about your headgasket leaking. You don’t have a bay of stuff heated to around water’s boiling point for extended durations accelerating wear on various hoses. You aren’t going to have a belt tensioner go south, the DC/DC converter is less likely to lose it than an alternator. You won’t need to replace spark plugs, you aren’t going to have a turbo that screws you over.

    Instead of all of that, you have a pretty bullet proof drive train except that the battery will chemically wear, but even that seems to be not as bad as believed with battery management systems babying the batteries. The car almost certainly weighs too much, which will manifest in handling and tire wear.

    And of course, there’s gas v. electric. If (and sadly only if) you charge at home, an EV in my area is roughly like having a hybrid and $1.00/gallon gas. If you charge publicly… yeah that’s priced really high.

    So at one point, there will likely be a huge single expense for the battery. However, that is instead of frequent oil and air filter changes, occasional belt replacement, and a host of likely repairs that a gas car generally incurs over that sime time. One very big expense at once instead of tons of little expenses and a few big expenses.

    If the initial cost of the vehicle were competitive, hands down the EV is going to be the right choice if you can charge at home. Trickier question in an apartment or renter’s scenario.




  • Frankly, that second idea seems really consistent with whatever residual brand value they have.

    Unfortunately, they got burned by doing it poorly around 2017 and seem to have been scared off of playing in that space ever.

    The first is probably already done but maybe not enough to keep the niche afloat. If the GoPro’s need replacement, then they won’t have a reputation for durability. If they keep going, then why replace your old one when it already does 4k 60fps? Problem is either they need replacement and erode brand strength, or are durable and can’t compete with already owned product. That path probably most likely ends with selling themselves to some other company that will probably slap the name on random Chinese cameras.


  • The USA has great data infrastructure and comparitively cheap power compared to anywhere else that has a vaguely credible grid.

    Staff barely matters, the handful of folks they need is a rounding error in the scheme of things.

    Real estate in rural America is pretty cheap too. Since they don’t care about proximity to anything day to day, they just need to make sure there’s credible access to power, data, and water.

    Meanwhile, they have a government that varies through different degrees of support and pretty much never wavering toward the side of making life difficult so long as they stay at home, but will make things more complicated.

    If they did build somewhere that was cheaper, it would be unreliable for their customer base due to network connectivity, and they’d probably have a problem keeping their datacenter suitably powered, and some the US would get pissy about exporting that much compute.