Alvin Foo (@alvinfoo)

Huawei (@huawei) just made a big AI announcement at WAIC 2026. But what does it actually mean? Most people won’t care about the technical terms like “SuperNode” or “Atlas 950 SuperPoD.” Here’s what it means in simple English. Imagine AI as a giant factory. Instead of having one powerful machine doing all the work, Huawei has connected thousands of AI chips together so they behave like one giant AI supercomputer. This allows AI models to be trained and run much faster and at a much larger scale. Why is this important? For years, the world’s most advanced AI has depended heavily on NVIDIA’s GPUs. Huawei is now showing that China can build a large-scale AI computing platform using its own Ascend AI chips instead of relying on U.S. technology. What does this mean for everyone else? ✅ AI development becomes less dependent on a single supplier. ✅ Competition will accelerate, leading to faster innovation. ✅ AI services should become cheaper and more widely available. ✅ More countries will be able to build their own AI infrastructure instead of relying on foreign hardware. This isn’t just another hardware launch. It’s another step toward a future where AI is built on multiple technology ecosystems, not just one. Whether you’re an executive, investor, developer or business owner, one thing is becoming increasingly clear: The AI race is no longer just about building smarter models. It’s about who owns the computing power behind them. The companies and countries that control AI infrastructure may shape the next decade of innovation. Follow me for practical insights on AI, business and the future of technology. P.S. At 10xme, we’re helping executives understand and adopt AI through practical playbooks, AI diagnostics and weekly insights. Learn more at

Meta CEO Mark Zuckerberg predicts that with rapid advances in AI technology, biological innovations that can treat and prevent all diseases will be achieved within 10 or 20 years.

Jensen Huang says AI should be treated as a powerful utility, not a human colleague. Its value depends on how it's used, evaluated by its inputs, outputs, and computing power, not human-like behavior.

One underrated reason Anthropic and OpenAI are pulling ahead: release velocity. Look at this timeline (data as of May 30, 2026). Major model updates from these two now land every 1-2 months on average. OpenAI sits at ~51.8 days between releases. Anthropic at ~59.8 days. Google? A slower ~75.8 days, with a painful 154-day stretch in 2025. This isn’t incremental. It’s structural. OpenAI cadence: •GPT-5 → 5.1 (97 days) •5.1 → 5.2 (29 days) •Then steady 28–56 day jumps into GPT-5.5 Anthropic cadence: •Claude 4 → Opus 4.1 (75 days) •Then 42–73 day cycles, with tight Opus/Sonnet 4.6 updates and a fresh Opus 4.8 just two days before the chart cutoff. Google’s Gemini line shows bigger gaps and more “preview” placeholders. The result: OpenAI and Anthropic are compounding improvements faster, architecture tweaks, post-training, tool use, reasoning, efficiency while competitors play catch-up. In AI, shipping fast is becoming a defensible moat. Why? •Data flywheel acceleration: More frequent releases → more real-world usage → richer feedback loops → better next model. •Talent and iteration muscle: Teams that ship every 4–8 weeks build operational tempo the slower players can’t match. •Developer mindshare: Builders bet on the platform that evolves visibly week after week. •Defensibility against open-source: Rapid closed-model progress raises the bar before weights can be effectively replicated or fine-tuned. •Enterprise lock-in: Customers embed the latest capabilities into workflows and don’t want to rip them out when a laggard finally catches up six months later. Past cycles were 6–12+ months between meaningful jumps. That world is dead. The new winners treat frontier models like software: continuous delivery at scale. Google has the compute, distribution, and research depth to close this gap, if they choose to. But right now the velocity gap is real and widening. Anthropic and OpenAI are not just ahead on benchmarks; they’re ahead on tempo. Velocity compounds. Slow is the new vulnerable. What do you think, will Google match this pace by end of 2026, or does the duopoly widen?

From “It’s standing up!” to the brink of history, what a journey. 🚀🚀 That raw, unforgettable video of Elon Musk in mission control, eyes wide, voice cracking with pure awe: “It’s standing up… Holy smokes, man!”, captures the exact moment everything changed. December 21, 2015. The first successful Falcon 9 booster landing. A feat many called impossible. Back then, reusable rockets were a dream. Failures piled up. Skeptics laughed. But that single, perfect touchdown on Landing Zone 1 didn’t just save a booster, it ignited a revolution. Launch costs plummeted. Cadence exploded. Starlink connected the world. NASA crews flew safely. And the road to Mars became real. Fast forward to today. Hundreds of landings later. Night landings on drone ships. Boosters flying dozens of times. Starship catching towers. And now, SpaceX stands on the cusp of its historic IPO, set to debut as one of the largest in history, valuing the dream at over a trillion dollars. This isn’t just about rockets or stock prices. It’s about belief. About a team that kept iterating through explosions, setbacks, and doubt. About Elon and every engineer, technician, and dreamer at SpaceX who refused to accept “that’s how it’s always been done. From that magic moment in 2015 to this milestone today, congratulations, @SpaceX. To @elonmusk, the entire team, and everyone who believed. The future isn’t coming. SpaceX is building it, booster by booster. What an inspiration!

Ronny Chieng to Harvard Class of 2026: “I tried introducing my friend to Buddhism with Buddhism Made Simple. Instead of reading it, he asked AI to summarize it in 10 seconds. Believe it or not, he didn’t reach enlightenment.” Speedrunning Buddhism misses the entire point. The journey isn’t just how we acquire skills. The journey is the point. AI gives you the summary. Real growth demands the struggle, the confusion, the reps. In the age of instant answers, choosing the harder path is how you actually build depth. Maybe the real Harvard was the friends we made along the way, and the work we refused to outsource. Resist the shortcut.