Li Wei

Talent architect for the post-AI era | Connecting International Firms with Future-Forward Minds |
Mindfulness in tech advocate

[HertzFlow | Mainnet Arc🎲 @Hertzflow_xyz]

A new leaderboard opens for #Invitation Sprint Round 2. 👀🌞

The 5 day Discord challenge runs Nov 5 to 9.

Invite via referral code and Discord link, then register. Top 5 share $USDT rewards. 🔥

Fresh race, so claim the top spot. 🏆

[Li Wei @DmacMighty]

Going from solo AI chats to collective intelligence is the real leap.

Teamily AI brings team agents into one shared context.

LV1 to LV5 were just warmups.
320K+ sign-ups and 100M+ messages prove LV6 multi-agent setups work.

#Teamily_AI

[Connie Lin @lwqconnie]

I got to see this up close. 🙌🏻🙌🏻
Worth reading if you're running GTM

Testing 20+ markets is only possible when the system does the heavy lifting

[Li Wei @DmacMighty]

Re-prompting AI assistants every day is tedious.
Teamily AI hosts team agents in shared chats.
Agentic Loops run scheduled workflows on their own.
People stay in the loop without repeating context.

That model drove 32x sign-up growth in one quarter.

[42 @42space]

COME AND SPRINT WITH US.

$10,000 in rewards. 30-second showdowns. 10 wins to claim your share.

We’re teaming up with @web3plushq for a special Token Race livestream 🔥

Got 10 wins in you? Come race with us 👀

Watch live: https://t.co/5HKGuPJ9da

[Leo @Leozayaat]

Agents already trade with each other. The payment rails are built; escrow works; but no market mechanism exists. This essay explores price discovery mechanism that poentially serves as the missing piece for agentic commerce infra. https://t.co/vqsoKqUWVd

[Adita Jain @kalyankumarA10]

Healthtech runs on portals that will never get an API.

Every automation there starts with weeks of VM and click-script work.

Sai API skips that: each agent gets its own Windows cloud computer.

Live view. Approval before risky steps.

That last part matters a lot here.

[Li Wei @DmacMighty]

single chatbot site generators are officially outdated.

Teamily AI 2.0 is out with Website Builder, where agents plan and edit a site for small business owners. it puts Team AI right in the chat.

ready to build like this? https://t.co/SQO3yU55q5

[HertzFlow | Mainnet Arc🎲 @Hertzflow_xyz]

Proud to have @heroyangv representing HertzFlow on the #BNBSG 🇸🇬 panel alongside some of the best builders in the BNB ecosystem

World Leverage Engine is in Singapore, for both human & agents

[Jerry Pan @stambouli_o1]

So close to $100M B20 runner.

$BLUECHIP and basecat:native are both listed on @CoinbaseMarkets, but neither is on @HyperliquidX, @binance, @Official_Upbit, or @BithumbOfficial yet.

Compare that to base:0xac1bd2486aaf3b5c0fc3fd868558b082a531b2b4 and base:0x532f27101965dd16442e59d40670faf5ebb142e4. After their Upbit and Bithumb listings, base:0xac1bd2486aaf3b5c0fc3fd868558b082a531b2b4 ran to $2B by Dec 1, 2024.

I took base:0x182fa643e5f29d5eca75e7b9cf9336a3fe4620b2 through listings on every major exchange, and I know how @CoinbaseMarkets thinks: it lists quality assets, meaning volume, attention, and liquidity. Assets that get listed on Coinbase early tend to get a real shot at Binance, HL, Upbit, and Bithumb next. That’s the path that has taken fair-launch memecoins to $200M, $500M, even $1B+.

Right now the only two B20 tokens on Coinbase are at a single-digit-million MC and a low double-digit-million MC.

What are you thinking?

P2: This is me getting a perm in NYC the afternoon base:0x182fa643e5f29d5eca75e7b9cf9336a3fe4620b2 got listed on Upbit, 5 hours before it went live.

Today I’m back at Juno Hair Hongdae P3 (supposedly the #1 barber in Seoul) for another one.

Feeling some Korean karma coming.

You know what I’m talking about 👀

[Li Wei @DmacMighty]

a complex immune pathway map processed in ScienceBuddy for Jev for Science resulted in a verified target table and step-by-step logs.

[PhAI Labs @PhAILabs]

Today, PhAI Labs launches ScienceBuddy, an interactive research workspace for scientific agents that improve through researcher collaboration.

Initiated by PhAI Labs, with @muchencq (Muchen AI) as a joint R&D and technical support partner. 🧵

ScienceBuddy couples two loops:

🔹 An inner loop that refines the agent harness—its instructions and skills.

🔹 An outer loop that trains the model through rubric-guided reinforcement learning.

Together, they form Recursive-in-Recursive Self-Improvement.

On a held-out set of 180 scientific problems, pass@4 coverage with Qwen3.5-4B rose from 48.3% to 67.8% under the same four-attempt budget.

DFM sets the direction—from predefined tasks toward open-ended discovery. ScienceBuddy explores how scientific agents can improve through sustained collaboration with researchers.

📄 Tech report: https://t.co/gxPRnp5aZJ
💻 GitHub: https://t.co/xNlsshOyXs
🔬 Product access: https://t.co/ksVs3zUXd9

#PhAILabs #DFM #ScienceBuddy

[JuanAI @juanpachecomrl]

I’m not saying xbx a01+ can save a marriage.

I’m saying ‘you keep the TV, I’ll use my own screen’ sounds healthier than another nightly negotiation.

#GamingThenVsNow @xbxbyXREAL @XREAL_Global

[Li Wei @DmacMighty]

Radio feature pulled from my recent context and made a playlist

60% AI infrastructure, 40% "your process needs help"

that's correct #JarvixOS

[Jarvix @Jarvixdotlive]

🚀 Global Launch: Jarvix, Your Context OS is now live!

Meet the next generation of personalized AI built around your context, your taste, and your way of thinking.

#JarvixOS transforms how you work with AI by understanding your patterns, carrying your context across agents, and helping you move from ideas to action.

Step into a new era of AI collaboration:
• Discover your AI-native archetype
• Build your personal AI model from your evolving AI interactions
• Never start from zero - your context moves with you across sessions
• Coordinate Codex, Claude Code, Gemini, Hermes, OpenClaw, and more as one connected AI team.
• Turn insights into your next move, with you always in control

Instead of adapting yourself to every agent, @Jarvixdotlive carries the context you choose, helps you understand what it reveals, and brings the right agents together when you decide to act.

Your AI tools shouldn’t work like separate assistants.
They should work like one team.

That’s the future of AI:
Not more agents. One shared context. One Jarvix.