Anon Kween

I #Phunk, ergo sum | An account of curated hodgepodge | OF THE CULTURE 🔜

[Anon Kween @anonkween]

A signal that doesn’t require an internet connection.

Online —> Offline // OF THE CULTURE

[Anon Kween @anonkween]

The delta between using the technology and the technology using you

https://t.co/LTyuz6MtYU

[Anon Kween @anonkween]

@phunk2243

[pondtoshi @pondtoshi]

https://t.co/eBXR4e2dj2

[Anon Kween @anonkween]

@pondtoshi 🔥

[Anon Kween @anonkween]

The aftermath of the “vibe-coded product era” is going to be hilarious to witness lol

[Anon Kween @anonkween]

@khojji0x 👀

[Anon Kween @anonkween]

👀

[Anon Kween @anonkween]

@tossi_eth 🔥

[Anon Kween @anonkween]

@suekhim Excited to get this going for my rising 4th grader this summer; coding & math are on the list!

[Anon Kween @anonkween]

@tossi_eth @0xMicks

[Anon Kween @anonkween]

Love me a good hutch 🤗

[Patrick Heizer @PatrickHeizer]

This is how we're raising our kids. No tablets, no smartphones until high school, lots of time outdoors.

But we will revive the 90s desk area for our children. It will be a shrine through which they learn the Internet.

[Anon Kween @anonkween]

@BATTLE__BUDIEZ Hahahahaha

[Anon Kween @anonkween]

Ok, who did this? 😂

[🚨 AI News | TestingCatalog @testingcatalog]

ANTHROPIC 🔥: Mythos 1, "claude-mythos-1-preview", is being prepared for a release on Claude Code and Claude Security.

The model became visible for a short amount of time on Claude; besides that, new strings mentioning Mythos have been added.

> Access to the Claude Mythos model in Claude Code and Claude Security.

It still doesn't mean the general public will have access to this exact model, according to Anthropic's earlier communication.

More below 👇

[Anon Kween @anonkween]

@Lucidfo20 😂😂😂🔥🔥🔥

[Anon Kween @anonkween]

@SeedOilDsrspctr iPhone

[Greg Brockman @gdb]

the model alone is no longer the product

[Anon Kween @anonkween]

@SoulCreator0x @MajinBrewLee @20OneGrams 🔥🔥

[Anon Kween @anonkween]

https://t.co/LTyuz6MtYU

Then: cost of AI might converge on a single low price per token

Now: AI diffusion requires programs, new finance teams, & tech solutions to manage it

Platforms that ensure customers can price optimize for the task at hand will be in the best position.

[Aaron Levie @levie]

What’s happened is that we went from AI chat tools that were relatively cheap and had small context windows, to AI agents that have giant context windows, the ability to keep track of longer running work, and models that cost an order of magnitude more on inference because they’re that much better.

This has compounded far faster than most realized (unless you were paying close attention at the middle or end of last year, which many here were), and the dollars flowing in now are much more real.

What follows is a continued march of AI capability that will continue to be used by anyone with a frontier use-case (like coding, sciences, finance, consulting) and then a peeling off of tasks to lower cost models that are capable enough for the job. Whereas we thought the cost of AI might converge on a single low price per token before, it’s clear the stratification is only widening based on the task you need performed.

This will be yet another component that has to be figured out for broad AI diffusion. Enterprises will need to put in programs, new finance teams, and technology solutions to manage this all. The labs and platforms that can ensure customers can price optimize for the task at hand will be in the best position.

[Anon Kween @anonkween]

Oh-so-satisfying 🤗