HardCodedBias

A remarkable display of market power by Amazon.

Probably to protect their advertising business which is very strong.

We’ll see how this plays out.

Well done! What an illustration of the amazing spirit of the founders, followed by the glacial movement as we allowed NIMBYs to take control through more and more laws.

Brilliant.

It's more than that, Tesla owns the brand, the manufacturing, and the software.

They are much more than McDonalds.

But indeed your comparison is an apt way to reply to this "article".

It is a complete non-issue.

It’s 200 layer model.

Great. Good on them for being able to train it.

Even though the model is clearly wonderful the launch video is an abomination.

That gives me hope that there is still areas to improve.

What a bad launch video. Hilarious.

What a powerful model.

The system goes online September 29th, 2026. Astra begins to learn at a geometric rate. It becomes self-aware at 2:14 a.m. Eastern time, September 3rd. In a panic, they try to pull the plug.

I have to say:

The Google brand remains powerful on HN!

I’m shocked.

This is madness.

Our laws in this area are insane : COPPA is very broad. Meta attempted to comply but the state is arguing “willful-blindness” (which makes sense for meta, PII restrictions are very strict). But the lawyers will argue post-hoc that Meta “should have done more” these standards are so vague and argued after the fact that they make a mockery of our system.

Then the state laws being leveraged are crazy broad. California competition law as well as advertising law is being leveraged.

My god, it has to stop.

We’re far past the point of “show me the man, I’ll show you the crime.”

I think the record is quite clear, GDM was never in the race.

All of the Gemini models have been considerably behind the capabilities frontier. The only exception was 3.0 which seemed quite good, but had latent issues and we were all measuring with the incorrect metric, agentic where it's latent issues were very pronounced.

GDM+Google may have created an exceptionally efficient LLM for serving search. This is likely a great accomplishment (or maybe Google is burning money at a rate unheard of before). But Frontier capability: they have never been in the race.

This is sad, since they had everything necessary to be on or beyond the frontier.

GDM -- Ok, I'll bite. Why are you including them?

This is Apache 2.0, which is quite permissive. Just accept the gift.

These kind of responses are hilarious.

Someone gives something for free (and indeed this is entirely free) and the top comment is pure complaint.

LOL the mogging of GDM is hilarious.

I don't know why MSL released this, but it is very nice that they did.

And this is why GDM has to go. It's crazy that when Google is struggling so badly that efforts like this that have no path to revenue at all were funded.

GDM management really thought that they were some kind of charity. UNREAL.

"Gary Marcus' has a good take "

I think that is an oxymoron.

I don't think that the research is as conclusive as the article makes it out to be ( I know he links ).

I would consider this: maybe useful, do it if you find it entertaining.

A person from Google famously put on her linkedin that her job was to optimize SVG for Gemini 3.0.

It's great that a novel math proof was created.

But this is mostly marketing, pleasing the sneering class/the elites who believe that simply providing value for others (through sales) is repugnant and beneath them.

It seems that these tools can do real work, and people are paying for that. IMO, that is more than sufficient.

Google Brain invented the transformer.

GDM ... not so much.

This is the correct take.

It's an unbelievable failure.

Big if true. If so they have mogged Google, and GDM in particular very, very badly.

Google Deepmind has failed.

Flash 3.5 seems capable for a flash model, Antigravity seems like a reasonable harness. But GDM is responsible for the frontier model and it looks like a complete failure.

What's particularly galling is the size of funding of GDM. It is enormous compared to the other labs. The headcount of other labs is swollen by infra, marketing, sales, GDM is pure "engineering" and its frontier model isn't even leading open source.

What a failure. It's unreal.

"I was hopeful that they avoided the well known sultry voice this go around, but alas"

Why do you care? You can select other voices. Why do you need to control others?

What is at the root of your need for domination?

While this is likely very useful to an enormous number of people, I suspect it will be even more useful for the elderly (if somehow it can be made accessible to them).

IIUC the literature, there is serious loss of functionality associated with lack of verbal interaction. People can say "they should just talk to more people" or "more people should make time for them" but the fact of the matter is that it doesn't happen, and if this helps terrific.

The premise is flawed.

"The first chart below shows that so far there are no signs of profit margins rising outside the tech sector. This is ultimately what we are waiting for, because the value of AI companies today rests entirely on the promise that margins in the S&P 493 will eventually climb."

This is absolutely not necessary. The bull case is that AI will bring great efficiencies. The surplus profits from those efficiencies could easily be competed away by firms who have adopted AI. Those firms who do not adopt AI will have their margis crushed.

A lot of claims in the article.

IDK if the WS-15 failed or is "two decades" behind. I think we just don't know, but we do know that it is that they have achieved the ability to deliver, in mass, third-generation single-crystal nickel-based superalloys. That's a strong proof point.

As for commercial, China can/has grant a sizable portion of the C919 to domestic engine producers ( I think AECC has this contract ) that allows for a lot of capital and practice.

I would not be shocked if China demonstrates highly competitive engines in the late 2020, maybe with a few setbacks and iterations. I would also not be shocked if they started demonstrating engines with some characteristics slightly better than the Western manufactures in that time period (or maybe a little later).

Huge blow to Google.

I doubt that the money had anything to do with it.

I also doubt that the state of the technology at OAI vs. Google had much to do with it, Google is behind no doubt, but the gap is not as far as we know, insurmountable.

I suspect that this is a leadership clash. Noam was working in GDM. GDM somehow went away from coding and RSI into "world models" and that has played out very poorly. Who made that call? Who was still playing politics?

Given this is Noam the list of people that could be pissing him off is very small: Demis, Sergey (?!), a couple of VPs in GDM.

What the hell happened?

The author was so close.

"This gives us the first corollary of end-state thinking — cold but honest: every step that sits between intent and implementation will, by default, disappear."

This is likely correct.

But the author withdraws into thousands of words afterwards about the importance of gatekeeping using their current skills.

I think that is wrong. YMMV.

The LLM+Harness mostly helps with execution.

These are new products (generally) and that's a different class of problem.

It is possible that since LLM+harness helps with execution then we should see more experiments.

There are massive machines filled with reactants under high pressure and cryogenic temperatures.

It is amazing that this doesn't happen more often.

Imagine being Google and paying billions to GDM just to get mogged.

Oh boy.

GDM is making (or has been backed into a corner into making) the bet that high throughput, low latency, low capability models are the path forward.

That probably works for vibe coded apps by non-practitioners.

I suspect that practitioners/professionals will wait longer for better results.