Aldrey Cabrera @aldreyc

Anthropic, Blackstone bet the next trillion-dollar AI business is implementation, not models techcrunch.com/2026/07/15/ant…

@MatthewBerman The next generation will probably be inspired by the upcoming saga: Pirates of the AI Age: Altman vs Musk 🤣

@ylecun @demishassabis @grok explain in simple terms

I started Thinking Machines Lab alongside a remarkable team of scientists, engineers, and builders. We're building three things: - Helping people adapt AI systems to work for their specific needs - Developing strong foundations to build more capable AI systems - Fostering a culture of open science that helps the whole field understand and improve these systems Our goal is simple, advance AI by making it broadly useful and understandable through solid foundations, open science, and practical applications. thinkingmachines.ai

@paulroetzer Interesting 🤔 “… although new technology can be shocking initially, society adapts quickly. GPT-4…was met with “two weeks of freaking out” and people believed it was “this crazy thing and the world had changed forever…Now people are like, ‘Oh, it’s horrible. Where is GPT-5?’”

Eager for more of The Artificial Intelligence Show? Don't miss our special bonus episode this week. Listen now at the link below:

A glimpse of the future of AI at work: I got early access to Devin, the "AI developer" - it is slow & breaks often, but you can start to see what an AI agent can do. It makes a plan and executes it autonomously, doing research, writing code & debugging, without you watching.

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People keep asking "do I need to learn coding since AI is getting good?" I don't think there is any reason to avoid learning anything as a result of AI Will careers in coding change as a result of AI? Probably, quite possibly for the better. But avoiding learning won't help you

A clear use case for AI is idea generation. The evidence is strong across many studies that AI (GPT-4, Claude 3, Gemini Advanced) can help boost human creativity & the costs of getting bad answers is low. My Innovator GPT: chat.openai.com/g/g-JaiQEuHRU-… More: oneusefulthing.org/p/automating-c…

Jensen made the rounds recently, saying that people shouldn't need to learn how to code to program in the future. I agree: Coding is incidental to programming, which is the act of solving problems. Programmers will instead be orchestrating AIs. An excerpt from my TED AI talk.

As you build your business, you'll end up delegating plenty. Much of what you did before is now better done by someone else. To make more progress, you release your grip and allow. But there’s one thing you should hold tight and never let go. It’s the thing that should never be delegated. It’s your voice. Speak for yourself. Don’t let anyone speak for you. Don’t have someone else Tweet on your behalf. Or write posts under your name. Or take your calls. Or read or respond to your emails. No assistant. No replacement. No simulation. The moment it’s not you to someone on the other end, you’ve lost something you’ll never get back. If they write you, and they don’t get you back, you’ve gone wrong. Yes it’s more work. But it’s your work, and your obligation. You = you is the equation to solve. Don’t outgrow that.

@paulroetzer @c_valenzuelab “We keep discussing how fast technology changes, but we rarely discuss how fast culture adapts.” - couldn't agree more

With the advent of high-quality AI-generated media and the soon-to-be reality of generation on a real-time basis, I'm seeing a version of the same type of questions going around: how will we be able to distinguish real from generated? I think that's the wrong question to ask. It's worth remembering that generated videos have been around for 60+ years. And we are all okay. We actually already have a term for it: computer-generated imagery (CGI). Most movies and shows you watch are partially or entirely generated. Remember those dinosaurs in Jurassic Park? Guess what? They are not real. (yeah, sorry to break that) But sometimes, CGI is harder to find. Look for David Fincher's VFX breakdown of The Social Network, for example. The best CGI is the one you don't notice. And society has been perfectly fine about it. Under that premise, then, the real concerns do not seem to be how to distinguish what is real from what is not, but what happens when everyone has the tools that a David Fincher movie budget has. What happens when everyone can create anything they can imagine. My long-term position is that what is needed moving forward is a focus on i) digital literacy and ii) social awareness. i) Digital literacy: you need to adjust your mental models for every new technology. We keep discussing how fast technology changes, but we rarely discuss how fast culture adapts. We tend to underestimate speed of cultural changes and human adaptability. The best way of updating a prior is to have experience and exposure. One of the earliest films ever made was “The Arrival of a Train at La Ciotat Station” by the Lumière brothers in 1895. Legend has it that when the film was first screened, the audience panicked and fled the theater, convinced that the train in the film was going to burst through the screen and run them over. You can cure your fear of trains in films by understanding how movies are made. ii) Collective awareness: Social verification is key for any malicious type of content. We are already collectively good at sussing out malicious things that are trying to be passed as truth but are not. We get better at collective awareness by exercising more of i). The solution to potential challenges posed by ubiquitous access to high-quality content creation tools is not merely technological but also cultural and educational.

Bad news, graduates: LinkedIn says the most in-demand skills of 2024 can’t be learned in a textbook. fortune.com/2024/02/08/lin…

Attracting digital talent is tough but crucial for SMEs and scaling companies. Focus less on pay, more on purpose, growth and culture.

@PeterDiamandis We need it now, not in the future.

Coding is not about a particular computer language or even about writing programs per se. It’s about cultivating a mindset of computational thinking: enhancing your ability to break down complex problems into manageable components & thinking critically. diamandis.com/blog/abundance…

Human-machine collaborations are set to revolutionize content creation on an unprecedented scale.#FutureOfWork #TechnologyAdvancements hubs.ly/Q02kW-Qx0

Creating a world of abundance isn’t about creating a world of luxury, it’s about creating a world of possibility.

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