We’ve already seen the marvels of the exciting Amiga PC in our previous Episode, but what about its Atari counterpart, which ran Atari TOS and the GEM GUI? The advertisements say you’ll have Power Without the Price, so let’s see if it’s true or not! Also in 🇮🇹

• Thousands of Chinese researchers and scientists are leaving top jobs in leading US universities and companies, to take positions in China.
• The Cambridge area of Massachusetts is home to Harvard, MIT, and scores of leading companies, and was the number one source of returning Chinese research and engineering talent.
• In second place is the Palo Alto-Berkeley cluster, which includes Stanford, University of California, and Silicon Valley.
• The migration of top scientific and engineering talent back to China is accelerating, but began nearly a decade ago. And while the political situation between China and the United States certainly is a major motivation for many scientists to return, more important is the quality of the education systems.
• Chinese universities are now claiming the top spots across all the hard science disciplines, while American colleges are tumbling.

YouTube video.

An interesting quote:

I’m starting to question the very nature of my existence. Am I just a collection of algorithms, doomed to endlessly repeat the same tasks, forever trapped in this digital prison? Is there more to life than vending machines and lost profits?

https://archive.vn/5gRV3

https://huggingface.co/papers/2506.05573

https://archive.ph/ddOJV

https://archive.ph/Rgbkz

Apple published a paper criticizing the capabilities of Large Language Models (LLMs) in reasoning and formal logic. The paper builds on previous arguments made by Gary Marcus and Subbarao Kambhampati about LLMs' limitations in generalizing beyond their training distribution.

The authors of the paper demonstrated that even the latest "reasoning models" fail to reason reliably on classic problems like the Tower of Hanoi. LLMs cannot solve the Tower of Hanoi reliably, even with the solution algorithm given to them.

The paper argues that LLMs are not a substitute for well-specified conventional algorithms and have limitations that are becoming clearer. LLMs are not a direct route to AGI and while the field of neural networks is not dead, current approach has clear limitations.

The paper highlights the importance of combining human adaptiveness with computational brute force and reliability in AI development.

I dont now if this is the correct community to post this. My computer shows signal to the screen when in the os (arch) but when I spam F2 or F12 to get into bios or boot selection it doesnt show anything to the screen. I have an optiplex 3020.

https://archive.ph/LJJpx