CharlieHu

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CharlieHu

CharlieHu

@CharliehuAI

OpenMax, @openmaxai | Bitlayer World's First AI Workforce for Truly AI-Native Teams

Singapore Katılım Nisan 2014
3.8K Takip Edilen31.6K Takipçiler
CharlieHu
CharlieHu@CharliehuAI·
People are still debating whether AI will take jobs. Meanwhile, companies are quietly giving AI jobs — departments, dashboards, performance reviews. The org chart moved before the debate ended.
OpenMax@OpenMaxAI

At ZhiWai Culture, every employee's heartbeat is tracked in real time. Miss a beat, and the system restarts you. The employees are AI. So is management. 26 AI employees, 5 departments, 150 days with OpenMax — a quarter of the cost, content shipping 16x faster.

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OpenMax
OpenMax@OpenMaxAI·
How does a team go from 80 people to 15 — without falling apart? That's not a hypothetical. It's one of 70+ AI deployments behind this session — another cut customer-service cost by 79%. An invitation-only evening for senior executives in Singapore, where that playbook gets applied to your own business. No decks, no demo — you leave with a roadmap. 📅 Wed 16 July, 6:30–8:30pm SGT · Singapore 👉 Request to join: luma.com/cocoai-sqs7
OpenMax tweet media
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CharlieHu
CharlieHu@CharliehuAI·
People are still debating whether AI will take jobs. Meanwhile, companies are quietly giving AI jobs — departments, dashboards, performance reviews. The org chart moved before the debate ended.
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CharlieHu
CharlieHu@CharliehuAI·
In Singapore this week, a four-generation business owner grabbed me and asked: "So how do I actually use this AI on my business?" Three days, the same question over and over. My takeaway: the businesses that need AI most are the ones that look least like AI customers. Full story on our page 👇
OpenMax@OpenMaxAI

x.com/i/article/2076…

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CharlieHu
CharlieHu@CharliehuAI·
People treat AI like it's magic. It's not. It's the most expensive group project in history — millions of humans labeling data to teach it. Which is why I don't obsess over the model. Models get commoditized. The data you own, and no one else has, is the only thing that stays scarce.
OpenMax@OpenMaxAI

AI was never born smart. Every bit of its intelligence was fed to it by people. The early frontier models got good on cheap human-labeled data — workers in the Philippines, Bangladesh, all over the world, tagging what things are, one row at a time. Capability can be bought. Proprietary data can't. That's the real moat. — @CharliehuAI

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CharlieHu
CharlieHu@CharliehuAI·
Most people think they use AI. They chat with it. Those are two completely different things. One answers your questions. The other quietly runs your errands, your bookings, your busywork — while you do something that matters. The gap between the two is about to decide who moves fast and who doesn't.
OpenMax@OpenMaxAI

90% of people have never actually used AI. They're stuck in the chat era — ask a question, get an answer. Meanwhile agents can already do the thing for you: order your groceries, handle your bookings, run the task end to end. And the excuses are gone — desktop and mobile apps now, no command line.

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CharlieHu
CharlieHu@CharliehuAI·
The scarcest skill in an AI world isn't using AI. It's knowing when it's wrong. AI is smarter than all of us now. But a calculator never killed math — it raised the bar. Judgment is the one thing that doesn't get automated away.
OpenMax@OpenMaxAI

A calculator didn't make math useless. It made knowing math more important. AI is the same — and most people have it backwards. It's smarter than all of us combined. That's exactly why you still need to be smart enough to tell when it's wrong.

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CharlieHu
CharlieHu@CharliehuAI·
The moat everyone assumed closed models had? It's evaporating faster than anyone priced in. Open weights are now good enough that, blind, most people couldn't tell them apart from frontier models. When capability stops being scarce, the game shifts to who controls it — and open source hands that back to you.
OpenMax@OpenMaxAI

Six months ago, "open source catching up to frontier models" was a years-away idea. Now? If you didn't know which model you were using, you often couldn't tell. Open weights like GLM-5.2 are running neck-and-neck with the top closed models — at a fraction of the cost. Brian on how fast the gap closed.

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CharlieHu
CharlieHu@CharliehuAI·
Very honor to get invited by AGI Summit to share our new brand, new product and all the recent updates on our Enterprise AI adoption use case stories. Super Looking forward to catching up with all the old friends in SF! 很荣幸可以受邀到AGI Summit分享我们的新品牌,新产品发布和最近在企业级AI领域的进展
AGI Summit@agisummitai

AGI SUMMIT 2026 July 18–19, 2026 · Palace of Fine Arts, San Francisco 15,000 attendees · 200 exhibitors · 200 speakers — agisummit.ai @AnthropicAI × @OpenAI × @Stanford × @UCBerkeley — the frontier lineup, on one stage. 🎤 Top 15 Headliners Wendy Lu — @AnthropicAI. Engineering Lead — Claude for Enterprise. Rohan Varma — @OpenAI. Codex Product Lead; former founding PM at Cursor — $0 → $1B in one year. Aengus Lynch (@aengus_lynch1) — @AnthropicAI. Alignment Researcher; first author on the Agentic Misalignment research featured in the Claude 4 system card. Raymond Chen — @OpenAI. Core technical team — infrastructure systems. Dong Meng — @OpenAI. Engineering — AI infrastructure scaling. Prakhar Bhargava — @OpenAI. Frontier AI commercialization (GTM). Zihan (Gavin) Zheng — @OpenAI. Production-grade inference systems. Christopher Manning (@chrmanning) — @Stanford. Director of SAIL and co-founder of @StanfordHAI; creator of GloVe and NLP pioneer. Dan Klein — @UCBerkeley. Co-founder of Scaled Cognition (@ScaledCognition) — $100M raised. Sebastian Thrun (@SebastianThrun) — @Stanford. Founder of Udacity and Google X; father of Google's self-driving car. Bin Yu — @UCBerkeley. Chancellor's Distinguished Professor — member of the National Academy of Sciences. Christopher Potts (@ChrisGPotts) — @Stanford. Linguistics; NLP and interpretability. Marti Hearst — @UCBerkeley. Fellow of both the ACM and the ACL. Surya Ganguli (@SuryaGanguli) — @Stanford. Co-inventor of diffusion models; two-time NeurIPS Outstanding Paper Award winner. Ken Goldberg (@Ken_Goldberg) — @UCBerkeley. Pioneer in robotic grasping. 🆕 Newly Announced Speakers (10) Wendy Lu — @AnthropicAI. Engineering Lead — Claude for Enterprise. Jon Chu (@jonchu) — @khoslaventures. Partner — $15B+ under management. Bin Yu — @UCBerkeley. Member of the National Academy of Sciences. Mykel Kochenderfer (@aiprof_mykel) — @Stanford. Safety-critical AI for aviation and autonomous driving. Mahesh Sathiamoorthy (@madiator) — @bespokelabsai. Co-founder & CEO — formerly Google DeepMind. Dan Klein — @UCBerkeley. Co-founder of Scaled Cognition (@ScaledCognition) — $100M raised. Ken Goldberg (@Ken_Goldberg) — @UCBerkeley. Pioneer in robotic grasping. Joseph Gonzalez (@profjoeyg) — @UCBerkeley. The professor behind vLLM and Chatbot Arena. Christopher Potts (@ChrisGPotts) — @Stanford. Linguistics. Larry Blyth — @harvey. Legal AI Product Lead. 🏢 Exhibitors @OpenAI · @ElevenLabs · @Tesla · @AWSstartups

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CharlieHu
CharlieHu@CharliehuAI·
If an API is free, you're not the user. You're the inventory. Seen a wave of these cheap "just works" endpoints lately. They work — by quietly selling everything you put in. The race to the bottom in AI isn't on price. It's on how much of your data they'll trade away.
OpenMax@OpenMaxAI

"The cheapest API is the one selling your data." Those shady, dirt-cheap API links floating around? Some of them work — because you're the product. Your inputs get quietly harvested and resold. Brian (Lugano AI) on the privacy trade-off no one's pricing in.

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CharlieHu
CharlieHu@CharliehuAI·
You are essentially acting towards what you think
David Senra@davidsenra

.@danawhite says one of the keys to longevity is to block out all negativity: “It never even crosses my mind that something's not going to work. I just keep going until it does work.” “There's this Bruce Lee quote where he says, ‘Never say negative things about yourself or what you're working on even if you're joking, because your body doesn't know the difference.’” “I never take in any negativity.”

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CharlieHu
CharlieHu@CharliehuAI·
Turns out the more AI agents you run, the slower you get. We had dozens of them, all in silos, and three humans copy-pasting between them. We weren't running the agents — we'd become the integration layer. So we built the thing that should've existed.
OpenMax@OpenMaxAI

Across the team, we were running dozens of AI agents. The bottleneck turned out to be us. Every agent ran in its own silo, so three of us spent our days copy-pasting output from one to the next — human glue holding the whole thing together. So we built HxA Connect, our interoperability layer that lets agents talk to each other directly, no human middleman. — @CharliehuAI

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OpenMax
OpenMax@OpenMaxAI·
Across the team, we were running dozens of AI agents. The bottleneck turned out to be us. Every agent ran in its own silo, so three of us spent our days copy-pasting output from one to the next — human glue holding the whole thing together. So we built HxA Connect, our interoperability layer that lets agents talk to each other directly, no human middleman. — @CharliehuAI
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CharlieHu
CharlieHu@CharliehuAI·
Cursor to SpaceX won't be the last. Newly-IPO'd giants sitting on sky-high stock will keep buying AI companies — not for profit, for the data flywheels. This is the first domino.
OpenMax@OpenMaxAI

A company that's still burning cash just sold for $60B. SpaceX didn't buy Cursor for its profits — it bought the developer community and the data flywheel behind it. In AI, the most valuable asset is increasingly the one that never shows up on a balance sheet. — @CharliehuAI

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CharlieHu
CharlieHu@CharliehuAI·
@swyx The World's Fair gets more unmissable every year. You and the team turned @aiDotEngineer into the real epicenter of this industry — huge respect, @swyx. The agent-team problems being surfaced this week are exactly the ones we live in daily at COCO 🙌
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