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.

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.

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.

Freenet is also based on middle-out compression.

No. Trying to push 30TB into Freenet will be interpreted as an attack on the network by other peers and they'll disconnect from your peer.

Freenet is better viewed as a communication medium than a storage medium. Data is prioritized according to demand, somewhat like an LRU cache. You can't upload 30TB and expect the network to preserve it for you.

On liability, running a Freenet peer is more like running network infrastructure that automatically routes and caches other people's traffic than intentionally publishing it. US law explicitly recognizes this distinction in the DMCA's provisions for transitory network communications and system caching. We discuss this in more detail in the FAQ.

You obviously haven't tried Freenet. You can join our room on River and you'll see no spam, no fraud, no hate speech, none of that.

Decentralized doesn't mean unmoderated. Systems built on Freenet can be moderated however their creators and communities want. River is moderated.

The difference is that nobody running one service gets to decide what everyone else is allowed to run.

1) 30B, dense. Optimized to fit Q4 quantized in a 24GB card with a speculative decoding model as well.

2) Because reporters don't know what weights are and assume you don't know either.

3) Way better than Gemma 4 on text tasks, slightly better on multimodal. Numbers below are all: Benchmark: Muse Glimmer score Gemma 4 31B score difference

Artificial Analysis Intelligence Index: Muse Glimmer: 35 30 +5
MCP Atlas (Public): 75.5 54.2 +21.3
DeepSearch QA: 74.6 61.7 +12.9
SWE-Bench Pro: 51.2 36.9 +14.3
SWE-Bench Verified: 76.0 66.6 +9.4
OSWorld-Verified: 65.9 58.5 +7.4
GAIA2: 43.3 36.4 +6.9
WildClawBench: 47.6 37.6 +10.0
TerminalBench 2.1: 51.7 43.4 +8.3
Tau3-Banking: 23.5 15.1 +8.4
MMMU Pro: 74.0 73.0 +1.0
Charxiv Reasoning: 78.8 77.7 +1.1
OmniDocBench v1.5: 75.8 72.5 +3.3
ScreenSpot Pro: 75.4 75.9 -0.4

4) 128k tokens

5) No, sadly.

What you want is a DGX Spark.

It costs $4000.

And yes, there are fundamental advantages to cloud services, such as large-scale batching, little idle downtime, high speed, and hardware optimized to the specific models / serving needs. That said, one can weigh that off against sovereign control over your server...