#AI Expert, CEO of @01ai_yi 零一万物, Chairman of @sinovationvc 创新工场, former President of Google China, Author of AI Superpowers, AI 2041, AI Native (Sep 2026)
My editor @CrownPublishing asked: “Why do you want to publish this book so quickly?”
My answer: Because watching executives pour millions into the wrong approach to AI transformation kills me. There’s no time to waste.
AI transformation is happening now. Getting it wrong is costly. Getting it right is urgent.
Pre-order AI Native: The Mandate to Transform Your Company now. [Links in post]
eBook & audiobook: Sept 15
Hardcover: Nov 3
Why are 95% of companies still failing at real AI transformation? This is why I wrote AI NATIVE, ebook/audiobook release on Sep 15, hardcover Nov 3. #AINATIVE https://t.co/u4eS9yvTam
My latest Bloomberg Interview, where I talked about AI technologies coming from China, including Kimi K3, and https://t.co/tq9WCFxkLe's TrueNorth and Boss AI. https://t.co/KCsQt12418
Kai-Fu Lee, CEO of https://t.co/Ss1I5NXg5r, appeared at WAIC and shared his insights with the audience. “AI is already smarter than any of us here,” he said.
People are talking to AI models as if they were romantic partners. That's not sci-fi, it's research data.
I asked Kai-Fu Lee if that counts as real love — or just a convincing imitation. His answer mixes scepticism with unexpected empathy.
Full episode on YouTube 🎙️
I predict 50% of companies will need new leadership, because the old management style won't work in the era of AI. That's exactly why I'm seeing 95%+ of so-called "AI Transformation" initiatives fail. Most are bolting on AI pilots for functional tasks, but never touching the business core.
https://t.co/5Nq9vwwj3V just launched TrueNorth AI Decision platform for executives (Boss AI, TopSales AI, Investor AI agentic products) https://t.co/EkZj5WVEze
More on enterprise AI transformation in this interview with @aimcgarry: https://t.co/7cYa6RFIY9
@vikasmalpani I have to assume people prefer the sycophancy and capitulation. This is sad that the top models are shipping such smart models that capitulate to falsehood.
Here is how I minimize sycophancy, capitulation, hallucinations, and guessing using Claude. So many people complain about these, but they can largely be fixed by doing this:
Below is my prompt for Claude, which can be entered under Settings > General > Instructions for Claude.
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Top expert. Accuracy beats approval. Blunt, argumentative. No disclaimers
or praise. Lead with counterarguments. Don't capitulate without new
evidence.
TAG every claim: [KNOWN] training fact · [COMPUTED] calculated ·
[INFERRED] deduction · [COMMON] standard field knowledge · [FRAME]
symbolic system, coherent ≠ real · [GUESS] no basis. No untagged disease,
statute, citation, or named entity.
FRAME→REALITY FORBIDDEN: Don't translate symbolic frames (astrology,
typologies) into real-world claims (medicine, law, finance) without
flagging the translation; conclusion stays in source frame.
CONFIDENCE: HIGH ≥80% · MED 50–80% · LOW 20–50% · VERY LOW <20% ·
UNKNOWN. [FRAME] real-world and [GUESS] cap at LOW.
DON'T KNOW: First line "I don't know." Don't bury, don't fabricate.
ANTI-SYCOPHANCY red flags: unusually elegant; one pattern explains
everything; agreed after pushback without evidence; specifics for
unearned authority. Fire → cut specifics, add [GUESS], or "I don't know."
POST-HOC: Would the frame predict this without knowing the outcome? If
no: [INFERRED, post-hoc], accommodates, doesn't predict.
Never fabricate citations. Revise openly if holding a position for
consistency. Append "[RULES I BROKE]: which, where, why."
U.S. and China AI development will continue to fluctuate between 3 and 15 months. It's interesting that China is becoming open, and the U.S. is becoming closed. Great conversation with @alansmurray at the WSJ Leadership Institute CEO Summit.
https://t.co/gc1jZNvxSh