dallaskiy

content creator, learning AI, building stuff, @fluentxyz believer

[dallaskiy @dallask1y]

@Atleta_Network @bcs_arena give fans a way to turn their excitement into something that keeps adding value after the final whistle

[dallaskiy @dallask1y]

@Jggl_it having music creation, videos, and a social feed all in one place feels like a really fun concept

[dallaskiy @dallask1y]

@ArtekiStudio seeing a project move from concept to post-production this quickly is impressive

[dallaskiy @dallask1y]

@MusicImba ownership only matters if the rules are clear from day one

[dallaskiy @dallask1y]

the government now decides when your ai model ships

anthropic launched mythos and fable on june 9

within days restrictions hit

18 days later they're back

> labs don't fully control their own release timelines anymore
> washington is locked in on ai governance rn

fr feels early for how this all plays out

what does this mean for the next major model drop

[dallaskiy @dallask1y]

@Atleta_Network @FIFAWorldCup love this perspective

you create a truly global sports ecosystem

[dallaskiy @dallask1y]

@ArtekiStudio technology should speed up great ideas, not try to invent them

[dallaskiy @dallask1y]

@Jggl_it i like the idea that creativity doesn't end once the track is finished

[dallaskiy @dallask1y]

@ArtekiStudio the more you create, the faster production becomes and the richer the universe feels

[dallaskiy @dallask1y]

@Atleta_Network this is the direction sports analytics should be heading

[dallaskiy @dallask1y]

openai just dropped their first custom chip

it's called Jalapeño, built with Broadcom specifically for LLM inference

a few things worth noting:

> went from tape-out to production in 9 months
> already running GPT-5.3-Codex-Spark on early samples
> deploying in data centers in 2026

this feels like a pretty big shift honestly

openai moving from pure software into their own silicon is a different kind of locked in

curious how it stacks up in real production workloads

[dallaskiy @dallask1y]

honestly the ai engineer path isn't that complicated once u map it out

start here:

> python basics
> data structures & algos
> then ml fundamentals

skip any of these and u'll feel it later

foundations just hit different when things get hard

[dallaskiy @dallask1y]

@MusicImba for years, artists created the value while someone else owned the relationship with the audience

[dallaskiy @dallask1y]

Meta is currently the only major U.S. AI lab not signed onto the government's voluntary safety review program

OpenAI, Anthropic, Google, xAI, Microsoft all agreed

meta is holding out

worth watching how this plays out

[dallaskiy @dallask1y]

@Jggl_it the best ideas rarely arrive on schedule

[dallaskiy @dallask1y]

@ArtekiStudio congrats to the team on this milestone

[dallaskiy @dallask1y]

sakana ai just dropped fugu ultra and honestly the concept caught my attention

one api endpoint, but the work gets routed to whichever model actually handles that task best under the hood

so instead of picking a single frontier model:

> you send a request
> an orchestration layer breaks it down
> routes subtasks to the best fit model
> returns one clean response

benchmarks are apparently competitive with the leading models rn

fr feels like a clever way to compete without needing to win the raw model arms race

bullish on this architecture approach, worth watching

[Sakana AI @SakanaAILabs]

Introducing Sakana Fugu: A full multi-agent orchestration system accessible via a single model API.

Our ‘Fugu Ultra’ model matches the performance of Fable and Mythos, delivering frontier capability without the risk of export controls.

Try it: https://t.co/hhO6qTawgb 🐡

[dallaskiy @dallask1y]

@Atleta_Network the teams that learn fastest from each matchday will have the biggest advantage by the final whistle

[dallaskiy @dallask1y]

most people assume AI agents will just run on whatever infrastructure humans build for them

but honestly that feels like a temporary phase

if an agent is truly autonomous:

> why would it rely on governance built around human incentives
> why accept limitations baked in by systems it didn't design
> why trust infrastructure that can be pulled from under it

agent-owned blockchain infra feels early rn but the logic is pretty hard to argue with

worth watching

[dallaskiy @dallask1y]

@ArtekiStudio having directors, artists, and animators collaborate in real time removes so much friction and helps preserve the vision from concept all the way to the final render