As a younger man, I always had a "data over feelings" view of the world, but after 15+ years of performing analytical testing, seeing data manipulated in every possible direction to fit personal biases and agendas, I now view feelings as the only thing that really matters.
Rest in peace, Quincy…
In honor of his legacy, here’s a throwback to an incredible moment:
Quincy Jones and Herbie Hancock in the studio, exploring the groundbreaking Fairlight CMI synthesizer. Herbie’s demonstration showcases the brilliance of both the technology and their unmatched creativity.
A true legend remembered.
@beeonaposy Depends on whether scale means "of our customers how many are fully adopted" or "of our market how many are customers", or something else to you.
@beeonaposy Like Acquire/Engage/Retain/Monetize/Scale, the last one? Not like system eng scaling?
Can look at things like total customer base coverage, days to double or days to x% growth, or "market share" or total pop estimation.
You could write the best post ever but if you attach a Flux image with slop spelled words it's over. Might as well assume the whole post is Opus or something.
Imagine listening to a lively discussion about your latest research project, summarized and analyzed by two AI hosts 🎧That's the power of #NotebookLM's Audio Overview. Upload PDFs, Google Docs, Slides, and try it for yourself.
✨Learn more at: https://t.co/JC66SQJxjh
@kushalbyatnal I heard this expressed early in my career as "90+% of the cost of a project is after it launches" and that number may be smoke but the feeling is absolute
Programming is changing so fast... I'm trying VS Code Cursor + Sonnet 3.5 instead of GitHub Copilot again and I think it's now a net win. Just empirically, over the last few days most of my "programming" is now writing English (prompting and then reviewing and editing the generated diffs), and doing a bit of "half-coding" where you write the first chunk of the code you'd like, maybe comment it a bit so the LLM knows what the plan is, and then tab tab tab through completions. Sometimes you get a 100-line diff to your code that nails it, which could have taken 10+ minutes before.
I still don't think I got sufficiently used to all the features. It's a bit like learning to code all over again but I basically can't imagine going back to "unassisted" coding at this point, which was the only possibility just ~3 years ago.
Introducing The AI Scientist: The world’s first AI system for automating scientific research and open-ended discovery!
https://t.co/jC7g5GPVsE
From ideation, writing code, running experiments and summarizing results, to writing entire papers and conducting peer-review, The AI Scientist opens a new era of AI-driven scientific research and accelerated discovery.
Here are 4 example Machine Learning research papers generated by The AI Scientist.
We published our report, The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery, and open-sourced our project!
Paper: https://t.co/lTQ8UenFHk
GitHub: https://t.co/Im53whVeAq
Our system leverages LLMs to propose and implement new research directions. Here, we first apply The AI Scientist to conduct Machine Learning research. Crucially, our system is capable of executing the entire ML research lifecycle: from inventing research ideas and experiments, writing code, to executing experiments on GPUs and gathering results. It can also write an entire scientific paper, explaining, visualizing and contextualizing the results.
Furthermore, while an LLM author writes entire research papers, another LLM reviewer critiques resulting manuscripts to provide feedback to improve the work, and also to select the most promising ideas to further develop in the next iteration cycle, leading to continual, open-ended discoveries, thus emulating the human scientific community. As a proof of concept, our system produced papers with novel contributions in ML research domains such language modeling, Diffusion and Grokking.
We (@_chris_lu_, @RobertTLange, @hardmaru) proudly collaborated with the @UniOfOxford (@j_foerst, @FLAIR_Ox) and @UBC (@cong_ml, @jeffclune) on this exciting project.
in that sweet spot of being too smart to follow through with a terrible business idea but too stupid come up with an actually good business idea. not cut out for the business life