CCIIF

ROBOTICS🤖

[CCIIF @cciifang]

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[CCIIF @cciifang]

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[CCIIF @cciifang]

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[CCIIF @cciifang]

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[CCIIF @cciifang]

命运不是一次选择，命运是无数次重复选择的复利！
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[CCIIF @cciifang]

命运
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[CCIIF @cciifang]

模仿，练习，成为你自己的惯性。
命运就改变了。选择决定命运。
https://t.co/YWds19gbxy

[CCIIF @cciifang]

调频，校准频率，杠杆，破局，成长。
静气
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[CCIIF @cciifang]

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[Fei-Fei Li @drfeifei]

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[Ben Kompa @BenKompa]

I'll be speaking on a panel at LMRL @ 11:30a and presenting at GEM @ 12:50p tomorrow - come learn about what we're building @LilaSciences !

[Lila Sciences @LilaSciences]

"We are about to see more scientific progress in the next 5 years than in the previous century."

Here's a glimpse of what we're seeing through building scientific superintelligence:
➡️Lila's AI has accumulated over 10 trillion tokens of scientific reasoning data, generated entirely by AI models reasoning through the scientific method against experimental results
➡️ For CAR-T cell therapy, one of the most promising frontiers in cancer treatment, Lila's AI explored 300,000 design variants. The traditional approach tested 13.
➡️ For mRNA therapeutics, Lila's AI achieved performance twice as effective as current technologies from leading pharmaceutical companies. Expression lasting 15 days versus the 1.5 days achieved by conventional approaches. A 10x improvement.

This is what happens when the scientific method compounds at machine speed. Read the full article by @PeterDiamandis:

[Duncan CJ @DuncanCJ_]

New episode with @kenneth0stanley on Why Objectives Are the Enemy of Greatness.

What if the surest way to fail at something ambitious is to have a clear plan to achieve it?

What if a robot that doesn't know it's trying to walk learns faster than one explicitly trained to walk?

Kenneth Stanley is one of the most provocative minds in artificial intelligence. Former professor and team leader at @OpenAI, he co-authored the cult classic Why Greatness Cannot Be Planned—a manifesto that challenges everything we think we know about achievement. His research discovered something shocking: in AI experiments, robots seeking novelty learned to walk better than robots explicitly trained to walk. Over the last two years, Ken has taken these theories from the lab into the real world. As SVP of Open-Endedness at @LilaSciences, he's building scientific super intelligence—AI that autonomously discovers new biology and chemistry.

His work reveals a profound truth: the path to greatness is paved with stepping stones you can't predict, and the greatest discoveries come from following what's interesting, not what's planned.

⏰ Timestamps:

00:00 - Introduction: When Objectives Become the Enemy
03:01 - How AI Experiments Led to Social Critique
08:00 - The Picbreeder Experiment: Breeding Pictures Online
15:00 - A Car from an Alien Face (Deceptive Stepping Stones)
21:50 - It's Not Random: The Sharp Compass of Interestingness
25:36 - From AI to Life Lessons: Permission to Follow Curiosity
32:55 - The Spaceship That Looked Like a Mistake
42:19 - Getting Lost in St. Petersburg: The Collection Metaphor
44:59 - Stepping Stones That Looked Like Mistakes
49:48 - Advice for the Founder Feeling Hollow Despite Hitting Metrics
53:29 - Balancing Investors, Boards, and Open-Ended Exploration
1:03:12 - Will Humans Become Curators of AI Creativity?

Look up Duncan CJ on YouTube, Apple Podcasts, etc. Enjoy!

[Spurz @SpurzXBT]

Google DeepMind CEO Demis Hassabis warns AI could go rogue in the next 3 to 4 years

"There's two things to worry about"

"One is bad actors, whether that's individuals or all the way up to nation states, repurposing these technologies for harmful ends"

"The second branch is the AI itself going rogue or going off the rails"

"That's not today's systems but maybe in the next 2, 3, 4 years"

[CCIIF @cciifang]

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[CCIIF @cciifang]

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[CCIIF @cciifang]

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[CCIIF @cciifang]

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[CCIIF @cciifang]

🤣🤣🤣😘
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[CCIIF @cciifang]

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