Links about AI - first level curation
AI links I come across that might be interesting
Links about AI - first level curation
Arc is making a whole new layer on top of the internet. Super interesting stuff
“we auto create APIs based on structured data from webpages and applications. "if you can see it then we can create an API for it."”
Nick Dobosx.com
DeepSeekV2 is a big deal. Not only because its significant improvements to both key components of Transformer: the Attention layer and FFN layer.
It has also completed disrupted the Chines LLM market and forcing the competitors to drop the price to 1% of the original price.
⬇️... See more
Here's a prompt for Claude Sonnet 3.5 so you can turn any photo or screenshot into an interactive educational tool:
# Interactive Educational Game Generator
## Instructions
1. Upload a photo or screenshot of the page from the book or textbook.
2. Fill out the... See more
Allie K. Millerx.com
IMO @AnthropicAI is very close to making a breakthrough in productizable interpretability.
For ~4 years all we've had to really control LLMs is temperature/top_p and logit bias. We recently got `seed` and constrained structured output, with `interactive=false` on the way.
But now Claude... See more
Google Maps just got upgraded!
Now you can directly chat with it like ChatGPT.
Here are 5 new awesome features available on Maps: https://t.co/yVQNnGucwu
Hope springs eternal & inspiration runs deep.✨
⿻Plurality is my passion & now it’s my mission.🎯
Read @henshall_will's take on my life & @TIMEs, post-@TAIWANmoda plans & new role as a defender of global democracy.🌍
Let’s #FreeTheFuture🖖 — together!... See more
⿻ Audrey Tang 唐鳳x.comInteresting experiment from Google that creates an NPR-like discussion about any academic paper.
It definitely suggests some cool possibilities for science communication. And the voices, pauses, and breaths really scream public radio. Listen to at least the first 30 seconds. https://t.co/r4ScqenF1d
Ethan Mollickx.com
Really like how accessible but also thoughtful this book is.
Instead of jumping into the mechanics of ChatGPT (that it gets to) the first part of the book is about the evolution of neural nets (and deep learning), limitations and the concept of computational irreducibility. https://t.co/gPIvaz7wcf