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@malikpiara Hi hello! Every person is different and we all have a unique perspective, so it's hard to give general advice, but anyhow: Do! Make! Do a lot of work, do A LOT of work. The saying that in order to be great at something, you have to do it 10 000 times is true (in most cases.) \

It takes time for a startup to find product market fit. In my experience, 1-4 years. Twitch took 5+ years to find it. And it's much easier to do this with a small team, low burn, and extreme focus.

Just found out a patent Jonas Jongejan Irene Alvarado Alexander Chen pitaru Jordan Griffith Kyle Phillips & I applied for in 2020 for Teachable Machine got granted a month ago! patents.google.com/patent/US20210…

👋 Creative coders! pitaru and I are looking for a coder to join our Google Creative Lab team in NY. We are exploring exciting ideas in AI, LLMs, product design, and more. Apply here 👉 careers.google.com/jobs/results/1…

Working with pitaru and Alexander Chen changed my life. Now they’re looking for creative technologists to join their team at Google Creative Lab, which almost never ever has openings.

Announcing the Vercel AI Accelerator. 6 weeks. 40 participants. $850k in credits. Apply today and get access to credits from the top AI platforms. vercel.com/blog/vercel-ai…

We're pleased to announce the inaugural AI Engineer Summit on Oct 8 - 10, 2023 in San Francisco! You can pre-register today for exclusive access at ai.engineer/summit

The rise of the AI engineer. Definitely feel this is happening / has happened. It’s a fun job.

I think this is mostly right. - LLMs created a whole new layer of abstraction and profession. - I've so far called this role "Prompt Engineer" but agree it is misleading. It's not just prompting alone, there's a lot of glue code/infra around it. Maybe "AI Engineer" is ~usable,

📄Documents x LLMs📄 Combining documents with LLMs is a key part of retrieval and chaining We've improved our LangChain reference documentation across the 5 major CombineDocumentsChains and helper functions to help with clarity and understanding of how these work 🧵

A16z has been sharing good starter repos for working with LLMs. This one has memory included, shows how to work with Langchain, pinecone, supabase, openAI, and replicate.

Feels like this applies not just to teaching kids about entrepreneurship. Adults should also just “build the things they really want” when starting out and see if there’s any real traction.

"Many people misunderstand how great products are built. They think that a great product comes from a strategy doc, but that’s not true. ... They're built through continuous tinkering and adjustments. Every product we love has been built this way." creatoreconomy.so/p/kaz-coo-shop…

Using LLMs to summarize large datasets can be hard! LangChain x Mendable partnered to analyze user questions on our documentation. We're open sourcing notebooks showing 2 approaches that use both Anthropic's new Claude-2 and OpenAI .. blog.langchain.dev/llms-to-improv…

“While it’s easy to build a prototype in ~5 lines of code, it’s still deceptively hard to take an application from prototype to production… The main issue is application performance–something that works ~30% of the time is good enough for a demo, but not for production”

Q: Why are startup ideas worthless? In his essay Ideas for Startups, Paul Graham wrote: “startup ideas are not million dollar ideas, and here's an experiment you can try to prove it: just try to sell one. Nothing evolves faster than markets. The fact that there's no market for

What beautiful sentiment expressed in sari azout’s “Letter to a friend who is thinking of starting something new”. sublimeinternet.substack.com/p/letter-to-a-…

Creative Dialogues Episode 3: The Periphery A conversation between Claire Hentschker (Claire Hentschker) & Golan Levin (Golan Levin) exploring the richly multidimensional space of AI and the need to push beyond using paint right out of the tube. Catch up on all episodes at