@RichardSocher
Building self-improving superintelligence CEO @recursive_si and @youdotcom MP @aixventuresHQ Ex: Stanford Adj Prof, Chief Scientist at Salesforce, CEO MetaMind
Happy to welcome Laura Moss as CFO of @Recursive_SI Building frontier AI takes world-class research & engineering but also smart capital management. We understand that the sums we are dealing with are very large for startups, and we take that responsibility very seriously. We're thrilled to have Laura's expertise on our team. Laura served as SVP Finance at Cohere for over three years. Before that, she spent over 7 years at Google in roles of increasing responsibility across Technical Infrastructure and YouTube finance, supporting the business during a high growth and investment period. She holds an MBA from Wharton and a BSE in Biomedical Engineering from Duke. Welcome to the team, Laura! Excited to partner as we build something incredible together.
Anybody remember this whole marketing spiel about Constitutional AI and how it's supposedly the safer path to AGI? ... Screenshot from the current website. ... That approach is clearly not working
"Therefore, unlike the nuanced cost-benefit analysis that governs most of Claude’s decisions, these are non-negotiable and cannot be unlocked by any operator or user. Because they are absolute, hard constraints function differently from other priorities discussed in this document."
Building this Eureka Machine is my life's goal. It will automate scientific discovery for humanity which is also the most meaningful application of superintelligence. x.com/aiDotEngineer/…
How do we get people to go to gyms of the mind after recursive superintelligence gets here? Just like a normal gym, it's not that useful but it's good for you.
When it comes to copyright and AI capabilites there's a growing divide between the EU - US - China. Especially Germany and the EU hate how the sausage is made but will eventually enjoy it regardless. Chinese open source model builders have access to all ideas, copyrighted texts, comic book and anime characters, etc. Unrestricted flow of content and ideas is an advantage and - all things being equal- will result in superior models. This creates a tricky situation for the western world. Stick to valid and valuable and morally good copyright and ip laws. Let China overtake and build the best AI models. Then become completely dependent on external AI models. No simple clean answers here that all stakeholders will like.
There are at least a few reasons for why the incredible progress in AI hasn't yet resulted in a massive increase in GDP (some from Captain Obvious but number 3 is less intuitive to many smart people). 1. AI replaces some steps in complicated processes but companies are still doing mostly similar things and adoption and rethinking entire industries are slow. 2. Startups that replace everything (eg AI native law firm that is much cheaper) still need to ramp GTM, sales, etc But more importantly and surprising to many in Silicon Valley: 3. A huge chunk of the economy just does not require that much intelligence and won't materially change at its core with intelligence being abundant and cheap, eg. - tourism - people will want to see the pyramids with or without AI, - real estate - people want to live in hip and safe neighborhoods, AirBnB, rentals, etc. - luxury goods and status symbol bs, eg fancy handbags, clothes, overpriced cars, etc - food and large parts of the food supply chain (yes, I love AI for agriculture but crops and cows still need time to grow, etc) - sports and much of entertainment - oil drilling, tree growing/logging for construction, most of mining - etc If your existing economy depends mostly on these types of industries, AI won't impact it that much. But there's a whole new economy of knowledge work, research heavy industries, deep tech, online and digital work etc that will massively benefit and outgrow these existing industries.
As more people start working with AI the bar for what's an acceptable work product (slides, spreadsheet, documents, etc) will increase. It will be even less acceptable to present poorly thought through results. People who present sub-AI quality will have a hard keeping their job. It just hasn't happened broadly yet because most managers still don't know how to use AI well. Just like in chess the top people will get even better.
Adam is always wonderful to talk to! AI for science is our goal @Recursive_SI It's also what my upcoming book The Eureka Machine is about. It lays out how to build the ultimate invention generating machine for physics but also chemistry, biology, neuroscience, economics and astrophysics
Prediction: We will reinvent salary bands and management hierarchy for AI. "Junior" models have cheaper hourly/token costs, they do a lot of grunt work, some busy work, more low impact decisions. Senior frontier models will synthesize all the facts, make important decisions and delegate to those junior models. People will become managers and have their own agent org. Recursive will be well positioned for this future.
Yes, education needs to change because of AI. But just because AI can now do something better doesn't mean people shouldn't learn that skill. Not every skill we learn has to be immediately useful in a job. A lot of the training in school and university is around how to be a functional member of that society, how to learn anything (meta-learning), how to memorize anything, how to think and debate on the fly, how to communicate intentions well. Grades are a signal that can be useful in hiring (there are many others). Not only to know that a student understood that particular skill but also how they compare to their peers, if they can deliver under pressure, do they have the will to succeed. By taking many subjects students may get lucky and find something they're truly interested in. Sure, AI knows any fact and has lots of skills that may take you a long time to learn but you'll not be a very interesting conversation partner if you have to constantly get the next most interesting fact or a clever follow-up or counter from an LLM. You'll be easily fooled if you can't do basic math in your head. Ultimately, a lot of education may feel like a gym for the mind. Going to the gym isn't useful for humanity and mostly doesn't earn you more money. But it's good for you. It's good to use your muscles and your brain to not waste away. What we do need is teaching more agency, creativity and how to clearly communicate intentions and rewards to AI.
