Yong Yue

Co-Founder of an AI venture.

[Yong Yue @bydocshoes]

❤️

[Yong Yue @bydocshoes]

@paid_emmy00 rpa but with actual vision agents? huge if it works reliably

[Yong Yue @bydocshoes]

@YoannDeslias Seemed like gimmick at first glance, but skipping repetitive inference calls makes total sense

[Yong Yue @bydocshoes]

@mcbigup @sai_borg Lfg Sailand

[Yong Yue @bydocshoes]

@niger247 sai offloading local CPU work to remote linux nodes is lowkey the best use case for this architecture

[Yong Yue @bydocshoes]

@kirillk_web3 congrats on launch @Teamily_AI 🚀

[Aditi @aditiitwt]

been testing teamily ai on a website project and ngl, the way the agents work together is pretty interesting

but the part i didn't expect: a partner i'm working with jumped into the same group and worked right alongside them, same context. it's not an ai tool for one person, it's humans + agents: a few people and a few agents on one project

gave it a rough idea for an ai developer workspace and built this with website builder: https://t.co/UQdPPBs7Rc

the interesting part:
→ midway my partner asked to update the pricing section
→ one agent planned 3 plans, another built them into the existing site, a third reviewed the design
→ watched the live site adapt, same project from rough idea to finished site

& teamily AI is a human-agent collaborative workspace, great for small businesses and teams

feels pretty different from just opening another chatbot and prompting it step by step. more like a small team that keeps building on each other's work
@teamily_ai

try it out: https://t.co/QIz6VhRxFi

[Yong Yue @bydocshoes]

@TonyChe32313700 separating sources vs scheduled is so real

[Yong Yue @bydocshoes]

Small teams get a shared mobile workspace today as Teamily AI 2.0 is out.

The developers at @Teamily_AI built group chats where humans and agents share context.

This brings Team AI to mobile apps on iOS and Android.

https://t.co/OaYftebbFM

[Yong Yue @bydocshoes]

@Ignixbot 12:00 HKT is brutal for US west coast

[Yong Yue @bydocshoes]

@dymartinloondes @Luofei_Chen lfg @Luofei_Chen 🚀

[Yong Yue @bydocshoes]

@silvaniaferreal ok fine this is actually a valid use case

[Yong Yue @bydocshoes]

Seeing the update from @Luofei_Chen makes me want to put down a $59 refundable deposit for Oki Home right now. @okihomeai designed a Personal AI Computer that runs 24/7. This Memory Computer keeps your files at home.

[Yong Yue @bydocshoes]

@stambouli_o1 @o1_exchange @o1_bot wait a chicken soup vending machine??

[Bluechip @o1bluechip]

Since day one, blue-chip-4:native has been a community-led stockmeme movement, and that movement just got a major injection of fuel to keep on building. 🔥

With the help of @o1_exchange, we’ve connected with the original token deployer (who was previously anon) and secured an agreement to direct the majority of ongoing trading-fee rewards to the community effort going forward, in perpetuity.

The deployer also sent $25,000 of previously accrued fees in USDC to the CTO team wallet, giving the project immediate runway to keep on growing the vision.

Previous support from o1 had helped us fund UGC campaigns and commission high-quality content to get us to where we are today, and this new funding will help us to expand these efforts and make BLUECHIP the flagship stockmeme for the entire @base ecosystem.

More content. More runway. More fuel for the mission: Which is bringing onchain tokenized stocks to more people through the power of a good meme.

There’s a Blue Chip on base and we’re here to stay. 🔷

[Yong Yue @bydocshoes]

@the_jujukey @Hertzflow_xyz wait commodities perps too?

[Yong Yue @bydocshoes]

@Jarvixdotlive not having my queries logged on some server

[Yong Yue @bydocshoes]

@Hertzflow_xyz We really pushing that $130M number up 🎲

[Yong Yue @bydocshoes]

@carolcao_ need the full drop details though

[Yong Yue @bydocshoes]

@ChinaAMC_HQ The gap between actual clinical delivery and pure AI narrative is gonna widen fast

[Yong Yue @bydocshoes]

@AmerThee Usually scratched photos end up with soft artifacts around high contrast edges. What loss function are you prioritizing here to keep the film grain intact?