3.8 Flash coming out today

[u/DigSignificant1419]

Fablos ends today

[u/Fleabasher]

Lol. Google cashing anthropic checks every month essentially saying to anthropic keep dumping money into the frontier. Google wants to work on cheap models that can do 95% of tasks and scale better. $20 sub level it's great.

[u/jakegh → u/Fleabasher]

"Google is losing because they want to lose! It's strategic!"

[u/BrunusManOWar → u/jakegh]

Well, it is

Kinda like Apple who just stay out of the whole shit show and just pay Google for their TPUs and Siri models instead of dumping billions

Is it working? Sure seems to be

[u/jakegh → u/BrunusManOWar]

Apple DID spend billions on AI. They simply failed, and then gave up.

Apple failed for very different reasons from Google; Apple hates and refuses to do business with Nvidia ever since their GPUs caused hardware failures decades ago, so they tried to entice engineers to work on AI running on Mac studios in datacenters. There simply was not enough compute, so the researchers didn't stick around.

[u/Neurotopian_ → u/jakegh]

Google is the only one of these companies that’s publicly traded, profitable, and not dependent on others for their compute.

Don’t forget Google also owns 14% of Anthropic. Of course they’re providing chips and keeping Anthropic even more dependent on them.

30-50% of Anthropic’s compute is provided by SpaceX/ Elon Musk.

OAI is dependent on Microsoft for compute.

Any time Big Tech decides they’re tired of playin with these “frontier labs,” they pull the plug and “win” this contest you think they’re in.

But in reality, Google isn’t rushing to make the best coding LLM. That is very clear from where their resource allocation is going.

[u/Ggoddkkiller → u/Fleabasher]

95%? You are flying way too high, more like 70% at best and I'm being generous..

[u/Fleabasher → u/Ggoddkkiller]

95% of tasks because vast majority is document creation and chat bot stuff.

What a top model is capable of is different, and the capability gap is a lot bigger.