Also, people think they're so clever when they do this, when they generally don't actually work with modern models anyway. It just makes you look manipulative and unprofessional.

Well all that bribe money shoveled in Trump's direction sure look like it's paying off now, doesn't it?

It's over an order of magnitude heavier than the largest of those (Helios).

There's a difference between an aircraft being built to lift itself and perhaps a tiny payload and be paperlight vs. an aircraft designed for actual commercial service carrying passengers.

The feet are needed to accelerate the plane to takeoff velocities in order to conserve battery mass.

Also, the big AI companies get a number of advantages, such as large batch sizes and being able to balance on-peak and off-peak workloads better.

Is most of your daily driving "a race"?

This is a midrange model. This is competitive midrange pricing. For my midrange work I've been using GLM-5.2 - Gemini 3.7 flash is a bit cheaper and a bit better on the benchmarks, so yeah, I'll probably switch so long as the prices stay low.

Sometimes you need a high-end model (Claude Fable, GPT 5.6 Sol, Kimi K3, etc). Sometimes a low-end model is fine (GPT 5.6 Luna, DeepSeek 4 Flash 0731, etc). Usually a midrange model is the best balance.

Investors are chasing a company that achieves some kind of AI singularity. Let's set aside the fact that there's no reason to believe there is anything but diminishing marginal returns by making marginal refinements to current frontier models. Let's imagine someone hits the jackpot and gets, not even AGI, but a system that's as far ahead of today's frontier model are ahead of 2020's GPT 2.0 in performance.

Globally AI revenues are 150 billion, against a cumulative burn rate of 450 billion. A model that is a generation ahead of others would almost certainly capture the lion's share of that revenue.

If AGI magically appears as a Sam Altman has promised investors it will, a hundred million is way too low. Add, maybe, another zero to the revenues.

Conservatively, a safer assumption is that frontier models will get marginally better based on refinements in training and reinforcement and the other bits and bobs that go into these systems. The nobody is winning the lion's share of anything, at least overnight. But you have to define "safe". By "safe" I mean unlikely to lose money. But some investors are clearly defining "safe" as "having the greatest chance of owning a piece of the biggest thing ever."

I'm not following this super-closely, but if Anthropic is pursuing adding multi-step model based reasoning to their system, that could be the basis of a generational leap in capability. But if that is an approach that looks like it has a chance of working, then their competitors are no doubt pursuing the same thing. In that case you'd expect the revenue pie to grow as the scope of model utilty increases, but that growth to be split among several competitors. This could credibly result in a revenue stream for some of them that is as big as the entire industry's revenue stream today. But there's going to be hell to pay on the data center impacts end of things.

There are to be three variants of the ES-300: an all-electric 200km version, a hybrid 30-seat 400km version, and a hybrid 25-seat 800km version. And the ES-300 airframe very much is not some existing airframe.

EV fires are rarer than ICE fires (and slower spreading as well), so given that the competition is fuel-based....

It is a perfectly cromulent statement. 1MW = power, $5 = a cost of energy. They are providing both power and (indirectly) energy.

They didn't bother to install a co-pilot, a seat for the co-pilot, passengers, seats for the passengers, the hybrid gen set as you say, fuel for the gen set, and who knows if they installed a full production sized battery or just a smaller one

Are you just learning about the concept of a prototype in this comments section?

That's not correct. There are three modes. All-electric, hybrid-30 passenger, and hybrid-25 passenger, with ranges of 200km, 400km, and 800km, respectively. The airframe is to be certified for 20k feet (FL200), with optimal cruise altitudes from 10-15k feet, but this was explicitly described by the company as a "low-altitude test flight".

And to all the people going, "LOL, that's never going to cross the Pacific!" or similar range comments... and? Long haul flights (over 4000km) are only 5% of commercial flights. Very short / regional flights are 27% of total flights. There's very much a market for puddle jumpers, and airlines very much will buy them if they offer competitive advantages.

New botnet spun up July 6th.

I think that reflects more on your attempts than it does on some contrived distinction between "real" and "unreal". I tried to make music in a DAW and came to the conclusion that I'm not a good musician, and would rather listen to the pros, who are very good and quite "real".

Spotify at least has a financial incentive to slow it down - most of their subscriptions come from people who are seeking specific music.

Then again, they might have supply-side incentives to speed the crap up. The entertainment industry would love to break their dependence on workers (artists).