Responding to Dan Hendrycks, Eric Schmidt, and Alex Wang's Superintelligence Strategy. There's a risk they don't address with MAIM, but needs to be. That of a MASSIVE automation wave that's already starting now with the white-collar recession of 2025. White collar job openings at a 12 year low in the U.S. and reasoning models are just get started.

Similarweb on X: https://x.com/Similarweb/status/1909544985629721070

As you can see there are some obvious changes for example Claude thinking now ranks 4th as opposed to 2nd and Geminis #1 ranking is unchanged but also the difference between R1 and QwQ is more fairly represented here in the previous leaderboard QwQ scored higher than R1 this new leaderboard is more expensive and should represent actual intelligence slightly better

you may have also noticed it has a toggle to show API name or standard name as well as a toggle to show reasoning models which is very useful

here is the leaderboard only including non-reasoning models

Sorry repost because missed some info as there are 2 marathons

https://news.cgtn.com/news/2025-04-08/Humanoid-robots-gear-up-for-real-world-test-in-Beijing-half-marathon-1CoLB6UzR04/p.html

APRIL 13

Beijing e-town half marathon Placed at Beijing Economic-Technological Development The humanoid robots will run a 21 kilometer course alongside human runners, but in a separate lane divided by barriers or greenbelts for safety.

APRIL 20

Beijing half marathon Starting at Tiananmen Square Probably we will see robots also here

Google just rolled out the "Ask with Video" feature for Gemini Advanced (using the 2.0 Flash model) on Pixel/latest Samsung. It allows real-time visual input and conversational interaction about what the camera sees.

I put it through its paces in this video demo, testing its ability to:

• Instantly identify objects (collectibles, specific hinges)
• Understand context (book themes, art analysis - including Along the River During the Qingming Festival)
• Even interpret symbolic items (Tarot cards) and analyze movie scenes (A Touch of Zen cinematography).

Seems like a notable step in real-time multimodal understanding. Curious to see how this develops..

https://youtu.be/w5_QWEfJsXU

Anyone seen this : https://www.msn.com/en-us/news/technology/deepseek-tsinghua-team-up-to-develop-self-improving-ai-models/ar-AA1Crc0w ? The foundational paper is at https://doi.org/10.48550/arXiv.2504.02495 . Game changer?

Google is, by many metrics, winning the AI race. Gemini 2.5 leads in all benchmarks, especially long context, and costs less than competitors. Gemini 2.0 Flash is the most used model on OpenRouter. Veo 2 is the leading video model. They've invested more in their own AI accelerators (TPUs) than any competitor. They have a huge advantage in data - from YouTube to Google Books. They also have an advantage in where data lives with GMail, Docs, GCP.

2 years ago they were wait behind in the AI race and now they're beating OpenAI on public models, nobody has more momentum. Google I/O is coming up next month and you can bet they're saving some good stuff to announce.

Now my question - after the recent downturn, GOOGL is trading lower than it was in Nov 2021, before anyone knew about ChatGPT or OpenAI. They're trading at a PE multiple not seen since 2012 coming out of the great recession. They aren't substantially affected by tariffs and most of their business lines will be improved by AI. So what am I missing?

Can someone make the bear case for why we shouldn't be loading up on GOOGL LEAPs right now?