An accomplished growth leader with expertise in data science and a passion for creating value through the latest technology.
- Skilled in marketing and growth strategies for both B2C and B2B businesses, with knowledge in various areas such as marketing tech stack, user acquisition, funnel analysis, monetization, retention, segmentation, lead score, direct mail, paid search, paid social, web analytics, SEO & content marketing, media mix modeling, and multi-channel attribution.
- Possesses extensive hands-on experience in data science, including data processing using SQL/Scala, data visualization using various tools, data API processes, A/B testing, and statistical/machine learning models using R/Python (supervised and unsupervised learning, time series, neural network, causal impact, and more). 
- Product management experience in user journey optimization, conversion rate optimization, and product A/B testing.
- Strong skills in people management, cross-functional project management, process engineering, talent recruiting and retention, as well as exceptional communication, presentation, influence, negotiation, teamwork, and leadership.

I’m attending the AI Infra Summit at the Santa Clara Convention Center, Sept 15-17. Secure your place here: https://lnkd.in/gsXYdjin .

AI Infra Summit is the ultimate stage for AI infrastructure players, and hosts a unique blend of systems and AI market intelligence.

What to expect once you sign up:
• A totally unique cross-section of the AI market:
Meet data scientists and model builders, plus hardware & systems architects, roboticists, and data center professionals under one roof. This event is not for exploring AI applications, it's for optimizing deployments.
• Mainstage · Compute · Data Movement · Physical AI · AI Data Centers · Enterprise AI
Six specialized tracks covering every conceivable critical engineering domain in AI infrastructure.
• Product Launches, Visionaries & Mind-Blowing Breakthroughs
Hear industry news first hand from the stage that has launched products from companies including NVIDIA, Intel, Qualcomm, Habana Labs and many more...

Secure your place here: https://lnkd.in/gsXYdjin .

Register your interest to be kept in the loop on updates, without committing yet: https://lnkd.in/gvYX3s47

#AIInfraSummit #AIHardware #EdgeAI #EnterpriseAI #Datacenters #AIConference

Bei Zhang

I’ve had the privilege of helping the Miromind.ai team behind the scenes recently, and today’s release of MiroThinker 1.5 is a moment that truly inspires me as an AI builder.

For too long, the industry has been obsessed with brute-force scaling—building ever-larger models that "memorize" more data. But we’ve hit a ceiling. True intelligence isn't about omniscience; it's about the ability to research, verify, and correct in real-time.

MiroThinker 1.5 proves a radical thesis:
A compact, 30B parameter model can beat 1T parameter giants by internalizing Interactive Scaling at the training stage.

Why this matters for Growth & Product:
This isn't just a technical win; it’s an economic one. By achieving 1T performance at 1/20th the cost, we are making deep, reliable reasoning accessible for real-world deployment today, not in some distant future.

Proud to support this mission and the incredible team behind it. Try the demo at dr.miromind.ai and let me know what you think of the "Thinking Trace."
#ArtificialIntelligence #AGI #OpenSource #FounderStories #IntelligenceDensity #FutureOfTech

We just flipped the scaling narrative: Agentic Density > Parameter Count.

#MiroThinker 1.5 operationalizes Interactive Scaling—agents that seek evidence, iterate, and revise in real time (with a time-sensitive sandbox to avoid hindsight leakage).
Result: 30B hitting frontier-class agentic search, ~$0.07/query (≈20× cheaper vs 1T-class baselines).

·Fully open source, read more: https://lnkd.in/gskYTvMr 
·Try: dr.miromind.ai 
·GH: https://lnkd.in/eJyH4xEM
·HF: huggingface.co/miromind-ai

Open article: miromind-ai (MiroMind AI) by huggingface.co

Proud to see "Intelligence Density" winning over the community 🛠️✨

It’s been an incredible journey being a contributor to the MiroMind.ai ecosystem. Crossing 3,000 stars today feels like a "told you so" moment for the philosophy of Intelligence Density.

As someone building in the AI space, seeing this organic growth curve is the best validation possible. Developers are voting with their stars because they realize we don't need "heavier brains"—we need models that can actually research and verify.

To my fellow AI builders: If you are looking to strengthen your product's reasoning and search capabilities without the bloat of 1T models, I highly recommend checking out the repo. It’s been a game-changer for our internal logic.

Take a look at the code and the technical report here:
👉 https://lnkd.in/gS2EpdSS

Congrats to the whole team! Let's keep building. 🚀

#OpenSource #AIBuilder #MiroThinker #DiscoveryIntelligence

🎉 Milestone Reached: 3,000+ Stars on GitHub!

We are thrilled to announce that MiroThinker has crossed the 3,000-star mark. This growth is a testament to the power of our community and the feedback you've shared with us.

A huge thank you to everyone who has been part of this journey. We are more committed than ever to building the best experience for our users.

Try it now: 🔗 https://dr.miromind.ai

👀 Github: https://lnkd.in/eJyH4xEM
🚀 Hugging Face: https://lnkd.in/gDQcMR6C

Are we building AI that just "sounds right," or AI that is actually right?
Tianqiao Chen 陈天桥's latest essay brilliantly distinguishes between "Liberal Arts LLMs" (simulation) and "Science LLMs" (discovery). As we scale Tanka, this philosophy is our north star: business growth demands verifiable causality and logic, not just persuasive text generation.

If you care about AI solving real-world friction rather than just chatting, this is a must-read.

Philanthropist and Founder of the Tianqiao and Chrissy Chen Institute/Chairman and Founder of Shanda Group

I just published a new video essay: “Words Fall Silent, Causality Reveals Itself — What AGI Means to Me.”
🎥 Watch: https://lnkd.in/gFj8BJ_Q
📄 Text version: https://lnkd.in/gB_GNaMi  

My core point: today’s mainstream LLMs are exceptionally good at simulation—narratives that feel real and answers that look right. But the future hinge of AGI is discovery: touching the “causal red line” where reality can reject or confirm hypotheses.  

So the AGI target (to me) is not “better chat.” It’s a high-confidence, verifiable, self-correcting general reasoning engine—able to sustain ~99% overall reliability after 300+ steps of complex reasoning, with each step pinned to inspectable evidence via tools/formalization.  

A practical engineering implication:
	•	Split reasoning into Generation (decompose into atomic operations) + Verification (tool/sim/data checks per step)
	•	When a step fails: local backtracking + regeneration, not “hope the chain sounds right.”  

That is exactly what MiroMind is building 
Www.miromind.ai

If you’re building in AI-for-science / agents / reasoning systems: what do you think is the hardest bottleneck to achieve 300-step reliability—verification coverage, cost, or error accumulation?  

#AGI #Reasoning #AIforScience #Causality #Agents #Verification

Open video: Words Fall Silent, Causality Reveals Itself — What AGI Means to Me on youtu.be

Words Fall Silent, Causality Reveals Itself — What AGI Means to Me

taplio

Bei Zhang's Linkedin Analytics

Bei Zhang

Performance ScoreBei Zhang's LinkedIn Performance

Bei Zhang's Best Posts (last 30 days)

Ready to grow your LinkedIn presence?

taplio

.css-6ytdur{background-image:linear-gradient(284deg, rgba(39, 43, 72, 1) 0%, rgba(33, 47, 183, 1) 100%);color:transparent;-webkit-background-clip:text;background-clip:text;}Bei Zhang's Linkedin Analytics

Bei Zhang

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Bei Zhang's LinkedIn Performance

Bei Zhang's Best Posts .css-1emoo84{font-size:var(--chakra-fontSizes-md);font-weight:400;color:var(--chakra-colors-gray-600);}(last 30 days)

Ready to grow your LinkedIn presence?

Bei Zhang's Linkedin Analytics

Performance ScoreBei Zhang's LinkedIn Performance

Bei Zhang's Best Posts (last 30 days)