286 karma · joined March 19, 2017
It does not apply to intelligence gathered through methods like RL.
How does the author think about the intelligence of AlphaGo, for instance, which was trained entirely by self-play?
Right now, it integrates code & issues from a repo in a format that ChatGPT can easily navigate.
It can summarize/create issues for you, help you debug while looking at your code (without the copy/paste), etc.
Would appreciate any feedback. What other features do you want to see?
https://github.com/jayhack/llm.sh
Type `llm [natural language command]` and it will suggest a command for you, then run it.
Details here: https://twitter.com/mathemagic1an/status/1590480438258462721
Excited to share Autodoc: An AI-powered code generation service for docs sites. Drop an HTML tag on your docs site homepage and get an automatic interface for text-to-code in your framework. Instead of searching through manual pages, users of your framework can simply express what they want to accomplish - e.g. "swap the ith and jth rows of a matrix" in numpy - and it will generate code on their behalf.
Check it out now at https://autodoc.jay.ai
Would love to hear feedback. Thanks!
This is a prime example of the moving goalpost of what intelligence "actually" is - in previous eras, we would undoubtedly consider understanding context, putting together syntactically correct sentences and extracting the essence from texts as "intelligent"
Mira is a fast-growing social marketplace attacking the $500B global beauty industry. Powered by the industry's largest comprehensive beauty content dataset, Mira uses AI and computer vision to fundamentally improve the customer's journey from product discovery through purchase.
For the vast majority of beauty shoppers, finding the right cosmetics products is time-consuming and difficult. Although most beauty consumers are digitally native, only 10% of beauty sales happen online. Mira makes finding the right beauty products as easy as searching Google.
Founded by AI and computer vision engineers Jay Hack and Brandon Garcia, both Stanford computer science graduates, Mira now has a team of 10 from Stanford, MIT, Palantir, Facebook, Amazon, Benefit and NARS.
Mira having just raised over $9mm from traditional tech VC and strategic industry partners, is rapidly expanding its team to become the leading destination for beauty-related discovery, community and commerce.
https://angel.co/company/askmira/jobs/323915-senior-data-eng...