LOL

A lot of people have opinions about the philosophy of AI and want to write things about it and I would like to say to these people: *please* talk to a philosopher first. Philosophy is hard!

Is it really machines becoming more like humans or humans becoming more like machines?

An even more ideal situation is that the paid subscribers dump you money no matter what you do.

Everyone who actually understands history, technology, the diffusion of innovation, and economics already understands that AI will create more jobs than it displaces. But mass media and politicians never waste a good fake crisis to terrify people. And a few very loud, very prominent people in AI were screaming nonsense about the end of all jobs, the same nonsense people once babbled about "computers" in the 80s. You can still sell a million copies of a crappy book if you want to keep telling that story. People love scary bedtime stories.

I am amazed by the sheer stupidity of this academic discussion, or should I say, publicity stunt?

While an LLM can recite every line of a police training guide, it cannot survive the raw, visceral rite of passage that is a Taser shock or a face full of pepper spray. Human officers maintain restraint at the intersection of law and ethics because they understand the true weight of pulling the trigger—their own flesh has felt the cost. An algorithm has no body and pays no price; therefore, it can never truly grasp the gravity of an ethical choice.

Some things never change: Gary just doesn't fit in distribution.

"SPICE continues to be the leading light for international and cross-cultural outreach education." As part of @StanfordSPICE's 50th anniversary celebrations, professor emeritus Steve Thorpe shares his reflections on teaching and learning from the program. ow.ly/AGBZ50YVg2O

I am honored to assume the presidency of the @asilorg. I look forward to working with our 4000 members to pursue our mission: to foster the study of international law, and to promote the establishment and maintenance of international relations on the basis of law and justice.

Yann LeCun (AMI Labs Founder): "The AI industry is completely LLM-pilled. Everybody is working on the same thing. They're all digging the same trench." LeCun explains why no lab dares break from the pack: "They are stealing each other's engineers. So they can't afford to do something different because if they start going on a tangent, they're going to fall behind the other guys. And so they're all doing the same thing." This groupthink is exactly what drove him out of Meta. "Meta also became LLM-pilled with sort of recent reshuffling. And it's fine, a strategic decision that maybe makes sense for them. It's just not what I'm interested in." For @ylecun, the problem runs deeper than strategy. LLMs are missing something essential about how intelligence actually works: "I cannot imagine that we can build agentic systems without those systems having an ability to predict in advance what the consequences of their actions are going to be. The way we act in the world is that we can predict the consequences of our actions and that's what allows us to plan." His broader critique is that the industry has mistaken fluency for intelligence. Language turned out to be the easy part. The hard part is the physical world. It's why we still don't have domestic robots or level-five self-driving cars, even though today's systems can pass the bar exam and write code.

"Not just literature, all art plays a very big role in my life and my literature. Nowadays, I very much love contemporary free jazz, art, architecture... almost every form of art is very important for me.” - 2025 literature laureate László Krasznahorkai

I love Geoff. But he understands even less than Dario about the effects of technological revolutions on the labor market. Again, don't listen to AI scientists, as brilliant as they might be, and even less to AI CEOs, as successful as they might be, for questions of labor economics. Listen to reputable economists who have studied these things like @Ph_Aghion , @DAcemogluMIT , @erikbryn , @amcafee , @davidautor , etc.

Dario is wrong. He knows absolutely nothing about the effects of technological revolutions on the labor market. Don't listen to him, Sam, Yoshua, Geoff, or me on this topic. Listen to economists who have spent their career studying this, like @Ph_Aghion , @erikbryn , @DAcemogluMIT , @amcafee , @davidautor

Destroying a library brings the dark ages.

By three methods we may learn wisdom: first, by reflection, which is noblest; second, by imitation, which is easiest; and third, by experience, which is the most bitter. — Confucius