Accidentally said CI/CD instead of software factory and they kicked me out of SF

Ben Horowitz on an alternative path for young people: finish high school, spend a year learning about a field of interest, then let the work teach the rest. "The world has really changed, warfare has changed, power has changed, economics have changed... And there's not a constant refresh of the knowledge." "Arguably a better system is, you finish your 12 years of education in elementary and high school, then you maybe get a year that bridges you to knowledge in a field you want to go into... and then go from there." "For most college students, probably over 95% of college students are there to prepare themselves for the workforce. And a four-year degree to do that seems a little misplaced in a world where the rate of change is so high." @bhorowitz (2024)

Searched our demo catalog for "nylon camping tent". Got 5 tents back. Three of them are polyester or canvas. One traverse_edge hop on a same_material edge then returned 7 nylon backpacks that no image embedding would ever rank near a tent. mxp.co/d/one-edge-hop

Hi builders, let's share our GitHub contribution graphs! Let's connect! 🤝🏽 Here's mine:

I completely agree with this take related to the “AI will create viruses that will kill us all” BS. But let me add my few cents, because I am really really angry! I worked with one of the deadliest viruses in history, HIV, for two decades. I was one of the early scientists to engineer it, and engineered versions of HIV are now helping cancer patients. I understand the immune system that defends us against viruses extremely deeply. I have worked in high security biohazard labs. I don’t have a PhD in AI, but I have been involved with AI since the early 90s and have been all in on AI for years. People claiming that you can just make a virus in your garage, use AI to engineer it, and somehow build a virus that will kill everyone don’t know what the hell they are talking about! Of course bioweapons are extremely dangerous. In fact, viruses and bacteria have killed more humans throughout history than almost anything else. HIV alone killed tens of millions of people, yet today, if you have access to effective medicines and take them properly, HIV is generally no longer a death sentence. COVID-19 killed millions. Why doesn’t it kill at anything close to the same scale anymore? Not because the virus disappeared. It is still here. We developed collective defenses against it through our immune systems, prior exposure, vaccines, treatments, and better medical care. And this is exactly the point. The best way to fight biological threats, whether natural or synthetic, is to use AI to develop vaccines, treatments, antibodies, antivirals, and eventually engineer our immune system to create much stronger defenses against them. By the way, it is already possible to make synthetic viruses. You don’t need some hypothetical superintelligent AI model to do that. We have had sophisticated molecular biology and genetic engineering for decades. So how many people have actually died from synthetic viruses compared with natural viruses killing millions every year? And if someday there really is an AI capable of making some unbelievable “supervirus,” then why the hell wouldn’t that same AI make it even easier to develop defenses against it? Or cure diseases, for that matter? Where is this damn superintelligence that has cured a single major disease?! These AI companies and AI doomers keep talking like, “OMG, AI is going to become so unbelievably powerful that it could kill all of humanity!” Then why is nobody asking the obvious question? If your AI is already becoming this godlike, unbelievably powerful intelligence, why hasn’t it cured anything? I mean ANYTHING. Where is the cure for cancer? Where is the cure for Alzheimer’s? Where is the cure for aging? Forget those. Where is the vaccine that prevents the common cold? You are telling me this intelligence will soon be smart enough to engineer some magical virus capable of wiping out 8 billion people, defeating every immune system, every vaccine, every antiviral, every laboratory, every government, and the entire global biomedical community… …but somehow it still can’t cure one disease? I call that greatest intellectual dishonesty ever! At least WE actually know how to cure things and save millions of lives with our supposedly stupid human intelligence compared with this future “superintelligence.” Humans eradicated smallpox, which killed hundreds of millions of people throughout history. We turned HIV from a almost certain death sentence into a manageable disease. We developed vaccines in record time against COVID. If we had the same AI back then, would have saved millions more! We engineer immune cells to kill cancer. We developed antibiotics, antivirals, monoclonal antibodies, gene therapies, organ transplantation, and thousands of medicines. We aren't fast enough but we did all of that with our ordinary human intelligence. So imagine what actual superintelligence could do for medicine! And here is the part that really makes me angry. If you actually have, or are close to having, an AI capable of curing diseases and saving millions of lives, and you are deliberately slowing it down or refusing to make those capabilities available, then we also need to talk about the human cost of THAT decision, which you fearmongering people are going to be responsible for! More than 150,000 people die every single day around the world. Every. Single. Day. More than 90% from Cancer, heart disease, infections, aging. How many die because of AI? ZERO! Talk about the people dying TODAY. Talk about curing cancer. Talk about stopping the next pandemic before it starts. Talk about developing universal vaccines. Talk about engineering our immune system so viruses become almost irrelevant. Talk about curing genetic diseases. Talk about reversing aging. Talk about saving millions and eventually billions of lives. Instead, we constantly hear this “AI WILL KILL US ALL!” crap, delivered with absolute certainty and with this smug smile on your faces in front of cameras, as though imagining a science fiction extinction scenarios. I am actually angry about this. Each one of you causing a delay in AI advance every single day will be personally responsible for those 100 thousands deaths that could have been prevented! Because if you truly believe intelligence is about to become this powerful, then the greatest question humanity should be asking is NOT: “How could this intelligence hurt us?” It should also be: “WHY THE HELL AREN’T WE USING IT TO SAVE EVERYONE WE CAN?” And if superintelligence really is coming, then make sure one of the first things we do with it is make humanity biologically damn near impossible to kill.

We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so. Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training. You can read the full post here: darioamodei.com/post/we-must…

I'm seeing more unsolicited emails from cold outbound strategies that are clearly AI generated, but coming from an individual's email. I believe this is going to increase exponentially. Who's building next gen spam detection?

we're working with other world model labs to do dataset curation, here's an example one-click deploy into your cloud for video moderation: mixpeek.com/templates/video-… would love to add runway to the mix cc @ethansteininger

New York City Mayor Zohran Mamdani said children need their teachers and human connection in order to learn and grow, as he announced a one-year ban on generative AI for students in preschool through eighth grade starting this school year

The average strongly held belief these days in AI has a half life of 6 months at best. Here are just a few the industry has cycled through and probably has no consensus on at the moment: * OSS is too far behind to catch up * The labs can’t be profitable at scale * All software will be replaced by agents * You can’t build moats on top of models * Cheaper models will mean less compute * You don’t need evals * RAG is dead * AI will decimate engineering jobs * Prompting won’t matter in the future * We’ve hit a training wall * Frontier models are too dangerous to release …and dozens and dozens more. The key here is to remain flexible in your thinking because we’re going to be in a constant state of change for a while.