Anthropic, kill Gemini.

Gemini, kill Copilot.

Copilot, kill Siri...

Could have sworn I've seen a Slashdot story on this a few months ago.

Jelltifa!

...causing movements of weather systems to become more sluggish, producing more persistent heat waves. In Europe, reduced air pollution could be having a similar effect. Industrial emissions can contain particles called aerosols that reflect sunlight. Curbing aerosols has improved air quality, but it may also have altered the way air moves across the continent.

Don't let MAGAs hear this, they are itchin' for an excuse to pollute and deregulate.

STFU will win

...on 5th Ave. and not lose any investors.

anything that includes me without my direct permission at a dinner party... last time I ever speak to them.

I'd turn their spectacles into suppositories, giving them a free colonoscopy that they'll watch over and over clockwork-orange-style.

...only to learn that bot maintenance was too expensive?

You can get this kind of basic image recognition on $20 ARM boards from China. I've got a rock3a (older, barely capable compared to whats available now) board cluster that does this kind of image recognition for my cameras. rpi3 level stuff. That it was nvidia just speaks to what is available.

Sure, let's discuss that. You've got a handful of methods historically:

- GPS/GLONASS/Starlink - can be jammed.
- Wire - inaccurate, not suitable for OTH guided missiles
- Pigeon - inaccurate and expensive
- Radar - can be jammed
- IR/laser - line of sight/requires IR signatures
- inertia - inaccurate, expensive.

There's nothing which really compares to "AI" in capability or accuracy. It's the only option which can't be jammed directly short of active EMP and provides the required/desired accuracy.

That's kind of been the bread and butter for cloud providers - "data velocity". They say: keep all your stuff on our cloud, it'll be safe forever, you don't need to worry about it.

A single copy is zero copies and 2 is 1. This is overlooked on all clouds, on the basis that 3 copies on a cloud provider is still 1 copy.

This kind of oversight failure has ended many companies when they've had DR scenarios. I know of 2 that had to close shop because the egress cost of all their data from AWS was larger than insurance would pay out, and the cash difference was significant.

In most cases, it makes more sense to keep 2 local copies (different storage) than 2 cloud copies, for this reason alone.

Even if frontier models only continue to get 'marginally better' in terms of evaluations, as they have been for the past year, it's quite apparent that the newer models tend to be significantly better in aggregate and practice.

We're also starting to see a stratification across frontier models:

- Anthropic seems focused on "one shot" capabilities (latest generations have suffered significantly in other departments)
- GLM seems to be increasing their focus on security and coding robustness
- Google seems to be leaning in on 'fast and cheap' and 'good enough'
- Agnes (while not quite frontier) seems to be going for "broad scope of capabilities"
- LiquidAI is focusing on specialized, small local models for agentic pipeline work
- OpenAI seems stratified on do-everything frontier models with functional stratification based on task complexity
- Qwen - local capability focus.
- Grok - code centric + fast.
- Deepseek - also local-capability focus while trying to optimize the full stack

Then you've got the mess of models like Laguna (last generation capabilities but local-focus) and Agnes (more like google's approach, with a wide and cheap portfolio).

As for Anthropic (and , it is quite apparent that they're architecturally behind in many ways to other models. The release of dflash papers and the subsequent speed increase on the competitor models made that plainly obvious.

The problem is that AI has made it very obvious that teachers have not been doing their jobs.

For instance: one history test, one report. Two different responses: "Contrast the political sentiments at the time of the American Revolution with modern day American sentiments and political events." 1 page report.

You could just paste that into chat and get a useable if not undetectable result. The result is obvious. Instead, a curious student could use the tool to pose a more complete question to chat: take into mind more emotional similarities between different political factions, as well as the contrast amongst social classes. It'll help them stand out a bit and it'll be different, and they might learn something.

But, I do note: this would require a curious student. Teachers have all but punished curiosity and a love for education for decades, catering to the dumb ones to keep them engaged instead of punishing them for wanting to be dumb.

That's the dumbest thing I've ever heard.

AI has only accelerated my desire for learning. I can learn so much more (though perhaps not as thoroughly or as deeply, because you don't have to go below the architectural surface as much anymore) now than I could before: much less switching between tabs, copy/pasta'ing, digging for documentation (and reading a lot of things that I don't remember 3 seconds later because I'm looking for something specific).

The same goes for reading about history, or anything else. Curiosity is rewarded rapidly with AI.

No, the biggest problem with education in the schools is the schools and how they teach. They've made it un-interesting and curiosity is generally punished. They have completely destroyed education long before AI was even a question - I'd argue shortly after the Internet became available and approachable for your typical 100-IQ public school teacher, in the late 90s.

"3 dimensional thinking and problem solving is something you can learn to be good at"

It really isn't, not to a meaningful degree. You can sharpen cast iron, too, but that doesn't mean you'll have a sharp knife.

Spatial thinking (which is heavily linked to problem solving) is fairly tightly coupled to inborn intellect and early education capability attainment.