This is massive indeed. One of the main reasons I had gone "all in" on Kaggle years ago was because I could try out lots of really "dumb" ideas very fast and relatively inexpensively. An incredible feedback loop that I had not seen anywhere before or after - until now.

Every time I meet an incredible engineer and ask where they're from it turns out to be some random part of the Midwest; what is going on over there

A founder and his son had an AI startup that helped the family earn a living. One day, OpenAI released ChatGPT and tech twitter cried out “Your startup is fucked, what terrible luck!”. The founder replied “Maybe so, maybe not. We’ll see.” A few months later the startup doubled in MRR because ChatGPT educated the market on AI and it's use cases. Twitter shouted out “Your hard work has paid off! What an amazing MRR graph!” and the founder replied “Maybe so, maybe not. We’ll see.” Later that year, a copycat saw all of the founder's success and decided to clone their AI startup. Twitter cried out “You have a copycat doing better than you now, what terrible luck!”. The founder replied, “Maybe so, maybe not. We’ll see.” The copycat couldn't keep up with the sudden traffic and abandoned their project, which lead to many of their users coming to the original startup instead. Twitter exclaimed “You've outlasted the competition and taken their users, what tremendous luck!”, to which the founder replied “Maybe so, maybe not. We’ll see.” — I tweaked one of my favorite proverbs and based it on our startup story I decided to write this because nowadays, I see all this fear-mongering of “holy fuck ChatGPT just killed a million startups because of this plugin or that feature or because of this announcement on dev day” These posts are balanced by the headstrong founders who post the opposite of “well actually these changes are excellent for our business and now we are going to be a trillion-dollar company instead of a billion-dollar company!!!” Even if constant anxiety and/or forced optimism about the AI landscape was the optimal way to run a business, it seems like such a draining way to live Is our philosophy of marching forward and being generally unaffected by the AI landscape a better way to run a startup? Maybe so, maybe not. We’ll see.

📣Happy to share that our group at @MSFTResearch is looking for Machine Learning researchers and engineers to advance the state of the art in understanding and evaluating foundation models (language and multimodal). @ecekamar jobs.careers.microsoft.com/g… jobs.careers.microsoft.com/g…

This year is the AI year. Next year is the robot year. I wish I could say more but the robot people are telling me about speeding up. The thing is robots are AI. :-)

OpenAI’s ChatGPT is not just a disruptor—it’s a job creator too. The AI revolution might take some jobs but will also spawn new opportunities, just like the automobile did a century ago. Learn more here: wsj.com/tech/ai/the-new-jobs… #AI #FutureOfWork #AI #JobCreation #ChatGPT #OpenAI

Exciting, Sutton joining Carmack. I think they are right that AGI is going to be a simple set of ideas, likely ones already in the world today. I've had Sutton's The Bitter Lesson open as a tab for a year. Worth reading: incompleteideas.net/IncIdeas…

Build Powerful AI Agents in 2 hours using our LLMOps Platform. Sep 5, 9:00 am PST Free for everyone to attend. • Custom data transformers • Vector stores • Integrate with any LLM • Chain data, code, and LLMs • Deploy and monitoring Register here: eventbrite.com/e/ai-agents-b…

700 AI companies and organizations. Brand new list. If you don’t see one here that should be included, please leave a comment. I don’t ask you to reshare often. Please do so here. This is homework for my “Unaligned” show starting soon. News coming about that Wednesday. xitter.cf/i/lists/16963363832315…

what great search, enterprise apps, enterprise security and consumer products folks do I know want to make new AI experiences? helping some amazing researchers look for cofounders and key early hires 🤫

We just closed a 7-figure seed round for @finetuner_ai to build the future of #NoCode AI 🚀🚀🚀 Announcement soon 👀 Ready to shape the future with us? We're hiring the best: 📊 Growth & Product Marketing Manager 🤖 AI Engineer ✨ UX/UI Designer Apply 👇 fine-tuner.notion.site/Join-… #buildinpublic #AI #LLM #Hiring @bubble @langchain

Are you passionate about tech? Do you enjoy hunting for answers? Are you process-oriented and analytical? If so, we're #hiring for an analyst role! 👨‍💻 Check out the job description and apply to work with us at our Santa Monica office: bit.ly/3qj3i7T

Mission alignment, innovation, and more human working relationships can deliver success during an era of ruthless optimization. Discover what it takes to flourish amidst uncertainty in this latest @Forbes article from @glean's CEO @jainarvind: forbes.com/sites/forbestechc…

I've been thinking about AI products recently, and while the major labs (OpenAI, GDM, Anthropic) are competing on productivity assistants, character is clearly going in a different direction. Thinking from first principles, human beings have a few fundamental desires: not being sick, staying out of jail, not being hungry, not being lonely, etc. Very lucrative industries have developed around these desires---medicine, law, restaurants, p*rn, etc. But there is currently no big industry around emotional connection. And it seems likely that society is moving towards such an industry being compelling, given increased rates of loneliness, people getting married later, etc. Character seems to be breaking through into this, with reported average session times of 2+ hours, and reaching the top of the app store, on par with netflix. I'm really curious about two things: 1. Who are the users of character.ai? I don't personally know anyone who uses it (but obviously the people I know personally is a very biased slice of the world). 2. What are the use cases of character.ai? An obvious first guess is erotic content, but I'm not sure that's true; I tried to get it to generate erotic content but it gave similar refusals to the other chatbots. I kinda get the anime / fanfic use cases, but I also feel like that doesn't explain all of it. Character is obviously getting something right---they have one of the strongest engineering teams around and massive product usage. It doesn't feel impossible that in a few decades, emotional connection will be one of the top 100 industries in the world. Perhaps the rest of us are missing something. Would love to hear people's takes.

In the 1970s, Edgar Codd, inventor of the relational database, had a vision. He wanted to build a natural language interface that would allow a user with limited knowledge of a database to query it. He called it Rendezvous.

Despite Cursor’s recent insane growth, the current version is just 0.1% of what we have in store. We’re a small, very strong team and are looking for fantastic SWEs and designers to help shape the future of software development. Read more here - anysphere.co