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"RED QUEEN" AI means "GAME OVER" for us....

2026-01-11 Education
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Wes Roth
Wes Roth
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Description

The latest AI News. Learn about LLMs, Gen AI and get ready for the rollout of AGI. Wes Roth covers the latest happenings in the world of OpenAI, Google, Anthropic, NVIDIA and Open Source AI. SAKANA AI BLOG POST: https://sakana.ai/drq/ ______________________________________________ My Links 🔗 ➡️ Twitter: https://x.com/WesRothMoney ➡️ AI Newsletter: https://natural20.beehiiv.com/subscribe Want to work with me? Brand, sponsorship & business inquiries: [email protected] Check out my AI Podcast where me and Dylan interview AI experts: https://www.youtube.com/playlist?list=PLb1th0f6y4XSKLYenSVDUXFjSHsZTTfhk ______________________________________________ #ai #openai #llm

Top Comments (10)

@BobHuff-k7v 2026-01-11

"You're all going to die down here." - Red Queen, Resident Evil

100 10 replies
@RM.73TSUB15H1 2026-01-11

The implications this has for agentic zero day exploits... *sigh*... wheres the whiskey at?

38 3 replies
@Brush-Dragon 2026-01-11

What I got out of this... The Red Queen says you have to run twice as fast as you can't. 👍

29 2 replies
@TheFutureIsEloi 2026-01-11

This game, corewars, the paper and the work done for it, have very little connection to self-improving AIs. We have known for quite some time now that a coding agent is able to see the results of its code running and alter the code so that the results are more desirable (e.g. making a few attempts at making a test pass). The story - we can get an agent to iterate over code - isn't really news, and the outcome, that code was generated that was better than humans isn't really surprising given the amount of compute time thrown into it. It's results are better than a humans because it was given more time to look at the problem than a human (relative to cognition speed - humans are slower so take more elapsed time, meaning that 10-years in RL is like a single day of compute). So, being faster, LLMs need less elapsed time than a human, and given more thinking time is bound to unveil new solutions (if they exist). The lesson is, that where adversarial systems are possible, it is possible to cram a lot of thinking time into a relatively short elapsed real time, and the amount of thinking time equates to results because we have great way of judging our results and a way of ensuring continual evolution of the resulting strategy. That's all. It's not really ground-breaking and it isn't going to change the world. We've known this for a couple of decades now.

28 2 replies
@irri4662 2026-01-11

You have explained it as clearly and simply as anyone has of yet. And now I'm even more scared.

14
@Axiomatic75 2026-01-11

I played around with this when I was 12 years old in the 80s. Amazing to see it's still around

6
@woocashtech 2026-01-11

Still waiting for first AI :D

4
@patruff 2026-01-11

T2 holds up?! T800: "My CPU is a neural net" It's GPU! Gosh!

3
@Juttutin 2026-01-11

Before "core wars" in 1984, there was "core war", and before that "Darwin". And this history of self-replicating programs from the 1960s is also the progenitor of all modern computer viruses and worms.

3
@brookshamilton1 2026-01-11

Man, I've been watching you since the very early days. I'm so happy to see you cover topics like this. There is curiosity and wonder still. Thank you!

2

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