# New 'Chatty' vs 'No Yapping' toggle in OpenAI API and more upcoming

I think Joanne Jang et al's new Model Spec is very thoughtfully designed and basically welcome it as the Three Laws of our times (in particular the Objectives/Rules/Defaults splits)

But why is nobody talking…

If you are at #ICLR2024 , I am co-hosting with Aman Sanger @ ICLR and swyx @ICLR_conf a Cursor Research Dinner/Drinks tomorrow Wednesday.

RSVP - Limited spots:
partiful.com/e/c23tyjXfUpXM…

# CUDA/C++ origins of Deep Learning

Fun fact many people might have heard about the ImageNet / AlexNet moment of 2012, and the deep learning revolution it started.
en.wikipedia.org/wiki/AlexNet

What's maybe a bit less known is that the code backing this winning submission to the…

Replay.io is at an inflection point and it’s time to find someone to lead Replay DevTools and the larger Product team.

Join me, Mark Erikson, brian (no longer active), and many others in bringing time travel mainstream.

replay.help/team-lead

eg x.com/AntWilson/stat…

I’ve never done this before but… I'm offering three full scholarships for courses in Maven’s Build with AI collection.

Courses taught directly by AI experts at GitHub, OpenAI, Google, Hugging Face & more – for free.

Some of our top courses:
• Level Up From Software Engineer…

Introducing: Code Interpreter SDK

After over 150k active sandboxes, we're excited to introduce a building blog for any AI app - SDK for code interpreting!

What can you build with it?
🔸 Automated data analysts
🔸 Power generative UI
🔸 AI tutors
🔸 AI developers
...and more

Has someone created materials around “fundamentals of ML for AI Engineers”, not focused on building models but things like evaluations, error analysis, etc

Maybe something already exists? I don’t want to do it lol - looking for a resource I can share with people

LLMs that implement constrained sampling/schema respecting structured output seem the ultimate implementation of Postel's Law:

'Be conservative in what you send, be liberal in what you accept.'

Basically the ultimate interface block between systems.

Guillermo Rauch RNNs and GANs. they are the Moore’s law of our time. (i keep this as my banner to remind myself)

Wild turnout at the AI UX meetup yesterday. Hundreds of people! Got dropped into the middle of collaborative, high-energy, abundant San Fransisco.

Latent Space Podcast will have a recap up soon (subscribe at latent.space)

Thread of pics:

x.com/vibhuuuus/stat…

i got to demo Spaces in front of hundreds of people at AI UX!! heres the demo:

tons of fun & shoutout to swyx Maggie Appleton Geoffrey Litt Linus for organizing!

It's so nice to see Hunch getting a warm reception from everyone at AI UX this year; we didn't expect to win the top prize, so thanks to everyone who voted and made that happen. Thanks swyx @ICLR_conf, Linus, Geoffrey Litt Maggie Appleton for hosting such a great event