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Joined 3 years ago
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Cake day: June 27th, 2023

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  • Just to save the next person the trouble,

    It was introduced in 2009. Inflation calculator says that $0.89 in 2009 is the equivalent of…$1.34 in today’s money.

    Wow.

    I’d be curious to see the whole price history but yeah. Can’t believe how bad a deal all the fast food places have become

    Edit: regarding price history, another commenter said it raised to 2.99 after only a couple of years. So 2011 to 2026 inflation calc results in $4.48. A second user said beef in particular is ahead of general inflation, so this might not be too bad of an example after all




  • As the other commenter said, biking is cardio. It has many overlapping benefits with heavy circles (resistance training), but they each have some unique benefits and they grant you those benefits through different biological mechanisms. So doing one or the other is very good, and doing both is extremely good.

    American heart association has a very good breakdown of the benefits of cardio. They recommend 150 minutes per week of moderate intensity cardio (biking slower than 10mph/16kph) or 75min per week of intense cardio (faster than 10mph) to fully cash in on those benefits.

    On a personal note: before “taking the plunge” with any form of exercise, most people experience the same form of “temporal sticker shock” that you’ve expressed concern with. The “need to reserve time” for it.

    It’s very deceptive though, because the short time you invest into it actually gives back so much more time to your life. Like multiple extra hours per day, every day, where you feel refreshed, energetic, and capable of pursuing your passions fully. It’s extremely worth the time you spend upfront



  • I’ve done several assessments of the output of popular llms in my field of expertise. I generally conclude that they are “worse than worthless”, because they actively try to persuade you of false information.

    Your whole thesis about people whose output is “lesser” than llms is totally misguided. Yes there is a systemic research and comprehension issue. No, the AI doesn’t help people with it. What I’ve observed is that people don’t really ever defer to the AI if it coincidently contradicts their beliefs, they just coax it until it says whatever they want, then end up problematically overconfident because “the ai told them so”

    I could keep replying in regards to the unmotivated school children and the inappropriate reformatted analogy but what’s the point if you’re just gonna be a broken record? We all understand that you think most people are morons and that you and your buddies have deep talks about AI in which you’ve concluded that nobody can really “know” anything well enough to comment on their capabilities, but in spite of this you personally are able to not just “know” what it is capable of but even how it stacks up against against different types of humans. The line of reasoning is totally absurd


  • Do you think you’re helping the situation in any way by cobbling together random unrelated memories from a decade ago with unsubstantiated proclamations about the state of the modern industry?

    Bro literally just said computers do not possess cognition or the ability to perform research, and you retorted with a list of qualifications implying that educated people believe the opposite. But instead of actually furthering your position you’re just making broad statements about how nobody can possibly understand the technology, or the brain itself, because they are too complicated.

    Buddy. Nobody understands the complexities of physics enough to fully explain the myriad of processes and byproducts responsible for and resulting from the combustion of gasoline. Yet here we live all the same, in defiance of our ignorance, with working cars and shady car salesmen making specific false marketing claims about their vehicles.

    Literally it’s the same as if someone said cars don’t have full self driving and you retorted by saying you worked at Toyota (leaving out how you left that job ten years ago) and furthermore nobody even understands how humans make driving decisions. Then calling everyone else out for their “uninformed assumptions” as if you didn’t just perform the conversational equivalent of crashing your vehicle into a parked car



  • Oh, gotcha

    Just so we can get on the same page, the field of “machine learning” at that point in time (and even still today) is a completely different animal than the current wave of parasitic “AI” products that are being aggressively marketed.

    We need to be extremely clear when differentiating the two and understanding the thru-line, because the marketeers are intentionally trying to obfuscate the difference. For instance when you reply to someone who is talking about the capabilities of LLMs, you should be very clear when you start referring to the discussions machine learning experts used to have a decade ago. A lot has happened in that time