For a moment I thought it was some open-source LLM trained on legal. It's not, it's a web app wrapping major LLM providers and streamlining legal workflows, uploading documents, and having the LLM providers interact with them.
They are a nicer to use product. By people who are relatively well off who will use them repeatedly over the day for a decade. $50(nice basic stethoscope) $200 (premium stethoscope) is simply not that expensive to a doctor (and family buying a graduation product) even in poorer countries over the lifetime of the device (easily 10 years of daily use).
Just focusing on that you have things like a soft seal ear pieces from Litmanns where previously most came with hard rubber ear pieces.
The spring holding the shape better.
Great acoustics (although most will know what to listen for by the time they pick it up). Less tube sound from movement, less rubbing, less scratching under the head, longer time hearing than having to fiddle with a worse head.
The floating diaphragm is more complex on expensive stethoscopes and are often "floating" where they are not under tension but when you press down a ring pushes into them tightening them. This gives a bell (low frequency) and diaphragm (high frequency) feel from a single side so you don't have to rotate but modulate pressure.
Why do expensive stethoscopes fail?
1. You lose them
2. Simple wear and tear (many parts are replaceable but not worth repairing the entire head). The rotating heads can be a point of failure and becomes lax cheaper devices. Simple wear + grit causing damage.
3. Neck oils damage the PVC tubing over time
4. Alcohol/cleaning wipes damaging the PVC tubing over time
I'm surprised Litmanns hasnt brought out some sort of long term care wipes to use occasionally.
Exactly my first thought. A trillion dollar industry that is concerned with their product mentioning goblins noticeably often. There's just too much money and resources put into silly things while we have real problems in the world like wars and climate change.
Genuinely asking - if it's a bubble, why are cloud providers scrambling to buy these chips? They're not dumb, they only buy what customers are actually paying for.
Emdash is very common in academic journals and professional writing. I remember my English professor in the early 2000s encouraging us to use it, it has a unique role in interrupting a sentence. Thoughtfully used, it conveys a little more editorial effort, since there is no dedicated key on the keyboard. It was disappointing to see it become associated with AI output.
Imagine you cut the sentence "I'm going to kill you, this is an imminent threat." out of a book and hand it to someone.
It would be silly to consider you the author of that sentence in a copyright sense.
It would be equally silly to say you have no liability from that sentence.
Looking back at the boulder example, that LLM output has no consequences to be liable for if you throw it immediately into the trash bin. It's when you take boulder.txt and use it to do things that you have liability despite not having copyright.
No, I am not suggesting PhD candidates have AI write their theses. The original poster implied that they typed latex code for their thesis out by hand, to which I responded that it seemed silly to do so, silly in a similar way that taking a horse drawn carriage would be vs using a car.
Comparing battery energy density to fuel energy density usually ignores the fact that combustion engines aren't that efficient. A great counterpoint is that if you apply the logic to a 60kwh EV, it should have the range of a 2 gallon petrol car. Which of course is not the case. Most medium sized petrol cars would have at least 8-10x that for a similar range to that 60kwh EV.
A more useful metric is $ per mile of range. Because if the vehicle can do the miles, that's all that matters. With the first generation of passenger drones their range isn't amazing. But their cost per mile is. And these Joby things have a useful enough range to do JFK to down town Manhattan.
I've been following the market a bit. There are a few interesting vehicles moving through certifications. Beta Aviation was touring all the airshows last summer with their ALIA CX300. It's a simplified ctol model of their vtol where they kept the pusher prop but removed the other props to speed up certification. So it's more like a conventional plane. It has a range of around 300 nautical miles depending on the battery configuration (modular). They flew it coast to coast in the US and all around Europe. It should get through certification by 2027 or so. Their vtol version has been flying for a while as well but will take longer to certify. It has less range because landing and taking off vertically just eats a chunk of battery. But once it is up in the air it flies pretty much the same as the ctol.
Of course the arrival of solid state batteries is going to shake things up. Everything that is close to being certified is flying without those. A potential doubling of energy densities is going to be a big deal. But certifying the batteries is going to take years.
The level of detail they had to delve into in order to understand what was happening is wild! Apparently these systems are now complex enough to potentially justify the study of them as its own field of study [1].
The quanta article referenced at [1] used the term "Anthropologist of Artificial Intelligence"; folks appear to have issues [2] with the use of 'anthro-' since that means human. Submitted these alternative terms for the potential field of study elsewhere [3] in the discussion; reposting here at the top-level for visibility:
Automatologist: One who studies the behavior, adaptation, and failure modes of artificial agents and automated systems.
Automatology: the scientific study of artificial agents and automated-system behavior.
Honestly I think there is more to it - even with infinite context, the LLM needs some kind of intelligence to know what is noise and what is not, you resort to "thinking" - making it create garbage it then feeds to itself.
Learning a language is a big complex task, but it is far from real intelligence.
