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News of the day
1. The 2026 AI Index Report by Stanford HAI provides a comprehensive overview of the latest trends and advancements in artificial intelligence, highlighting the rapid acceleration in AI research and development. → Read more
2. Meta is developing an ai-powered 3d character of mark zuckerberg to interact with employees, part of a broader ai integration strategy. → Read more
3. Apple is developing smart glasses without a display, focusing on AI capabilities instead. This could revolutionize wearables. → Read more
4. Anthropic expands Claude's Office integration to Word, completing the trio with Excel and PowerPoint for seamless AI assistance. → Read more
Our take
Hi Dotikers!
Stanford publishes its AI Index every year, and every year the industry pretends to be surprised. The 2026 edition, released on April 13, is worth paying attention to: the numbers are clear, and they tell a story that lab announcements rarely do.
First finding: models are improving at an unprecedented pace. On the SWE-bench Verified coding benchmark, performance jumped from 60% to near 100% in a single year. AI adoption in organizations has reached 88%. Four out of five students use it for their studies. This is no longer a technology being tested, it is a technology being used.
Second finding: American dominance is eroding. Since early 2025, American and Chinese models have traded the top spot in performance rankings multiple times. As of March 2026, the gap between the best American model and its Chinese equivalent stands at 2.7 points. China already leads the US on patents, scientific publications, and industrial robotics. What makes this even more ironic: the flow of AI researchers moving to the United States has dropped 89% since 2017, with an 80% decline in the last year alone.
Third finding, and the most concerning: safety is not keeping up. Documented AI incidents rose from 233 in 2024 to 362 in 2025. Google, Anthropic, and OpenAI have all stopped disclosing the training characteristics of their latest models. Of 95 notable models released last year, 80 were launched without their training code being made public. Capabilities are accelerating, transparency is retreating.
The report also highlights what it calls the "jagged frontier": the same model can win a gold medal at the Mathematics Olympiad and fail to read an analog clock correctly half the time. That is where things stand, and it is worth keeping in mind before reading the next press release.
Geoffrey.
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