I think that remains accurate, but it depends on the domain.

Search had always been free form text input, and that extends to this, open ended interaction with impossibly large dataset to browse and impossibly many things to request. Places based on text interaction are places where LLM have a good chance of having a large role.

However, this isn't the total world. For example, LLM will only be as good at taking an order as a drive through speaker. I greatly appreciate managing an order through an app or kiosk, where I can more quickly peruse options in detail, more quickly knowing what's in it, price, calories, etc. Maybe an LLM option when you know generally what you want to fill out the order then a UI to tweak details.

Tons of UIs are more than some compromise for helping a computer be a consolation prize for not bothering to have a human handle a request.

Lots of AI companies seem to be forgetting this and imagining that devices that are just microphones and speakers will take over, but they are incorrect in many cases.

I don't know about mental health, but at least MIT's policy seems to not detract from it's students reputation in the industry.

I guess the question is why you would say "Would you fly on a rocket designed and built by people who could not fail?" based on the current topic that UoM is adopting MIT's long-standing strategy to first semester grading. You seem to infer that UoM adopting this will produce bad engineers that can't be trusted to design and build a rocket, but MIT has been doing it since the 1960s. Why is it so terrible for UoM to do it and it isn't a concern that MIT does?

Well you have Google, and of course Apple could decide to in-source the AI engine if it is so important, they tend to like doing that.

But when it comes to software development, Anthropic certainly has the advantaged position in reputation. However more broad use cases I think are supremely vulnerable to the platform owners of the endpoint devices changing the default. Why do Claude when the hardware button already chats with "some AI". Why leave office 365 that you already are running when office 365 will frontend whatever AI microsoft feels like? Even in the field that Anthropic is very well respected, I know entire companies that only use it by way of Github copilot because their company has a financial arragement with Microsoft. Leaving even users of Anthropic models at risk of Microsoft shuffling things around to use a model of Microsoft's choosing.

So even if Microsoft sucks, Microsoft dictates a bunch of defaults. Even if Google sucks, they dictate a lot of defaults.

Musk, Altman, and Zuckerberg are probably the ones I see at highest risk of failing to capture enduring success in this market. Anthropic certainly has the technical trajectory to be some sort of durable success, but just think there's a lot of potential for others to act as gatekeepers to the ecosystem.

While Anthropic is at least more substantial than other players, this *absolutely* is suspiciously heavy in this summary.

They anticipate that their revenue *could* be $100 billion if they extrapolate some revenue interval of the entire year, and that they will follow up with an unspecfied duration of year over year growth rate of 800%... Which just is an absurd assumption when the starting point is $100 billion.

No, it says:
"It reportedly delivered more than one megawatt (MW) of power during the flight."

At some point during the flight it went over a MW.

Since you are so convinced that universities that do not assign GPA on first semester produce bad engineers, does that mean you have distrusted MIT educated engineers for the last 58 years?

Strange no one has been bitching that MIT has been coddling students for 58 years...

One kilowatt isn't generally priced as anything. One kilowatt-*hour* is, however, priced.

So they may have actually used this properly, 1MW to take off sounds plausible for an ambitious aircraft in terms of power to take off and climb, but average of 100KW over the flight including the descent to get to a rough area of $5 over a half hour flight (well, still that's a pretty cheap energy rate by modern standards, but it's order of magnitude at least).

If it's a 100 level physics class and it matters, then the student will go through at *least* another semester or more of physics. I would care a lot more about their more advanced versions of the classes than the basics that every random university attendant takes.

If it's a 100 level class without a follow up, then no, it does not matter to the core of their curriculum.

Note that the students do see the grade that would have counted, so they still know how marginal their performance would be. They just get a chance to straighten up without the mistake mattering more broadly. Unless they fail, then they fail still.

It's only one semester, and a semester of the least important material of their university time.

I think this actually sounds decent, giving the students an adjustment window, preserve the ability to completely fail if they really bomb out, and still the majority of their university years count for real and around the material people will actually care about in the real world.

If I am looking at a new college grad and give any weight to GPA, I won't care if that GPA excludes the sorts of classes they would have first semester.

Lidar doesn't guarantee things, but since you brought up fog, guess what *can not* sense well in fog? Cameras. LIDAR and RADAR do better in fog.

Yes the problem with self driving goes beyond having the right sensors. That doesn't mean you shouldn't have the right sensors.

He's not lying, he's simply stating that you can give automation super human senses, and it would just be a complete idiot that would be so against those senses even in principle that hehwould remove common radar sensors from his car, just to prove a point.

He's not talking about worst human case or maybe even typical human. He's saying that confining the solution to cameras makes it only as safe as the safest human, which is fair.

Radar is pretty cheap for cars. LIDAR has similarly gotten pretty cheap. Being anti-LIDAR had at least some justification when LIDAR could only be had for thousands of dollars and saying we can't afford it. Being anti-RADAR was stupid from the moment that sentiment was expressed.

This is a stupid waste of time that could not have *possibly* earned them that much, a single ad in a very narrow context to a fairly small demographic. They risk their reputation on what has to be a relative pittance. Same on when they toyed with 'heated seats as a service'. A demographic that was probably happy to pay, but the annoyance was enough..

Similarly, GM has decided to move toward no support for phone interoperability. They are de-featuring cars that might be over $90,000 in the hopes that *maybe* people will accede to $10/month for the features their phone gives them already. Risking over $10k profit on a unit to have a somewhat higher chance at an additional $10/month.

I demand at *least* "Ultraintelligence". How can I settle for "Superintelligence"?