JPMorgan's Quant Training, Guide to AI Bill of Materials, and Marketing Advice

Tools and news around the artificial intelligence world.

Morning y'all, I'm excited about it being Friday because I totally forgot that it was and that can be a better feeling than waking up and knowing that it's almost the weekend!

So let’s jump into it! I’m also trying a new tool that does speech-to-text in a non-intrusive way as well with the first real experiment being this newsletter. 😅

GPTEngineer lets you build web apps and syncs with GitHub. Cool. So many of these apps that are coming online and it's worth seeing and reviewing all of them as best we can because ultimately it'll drive down cost for the end user. Yay.

Vybe in seed funding ($4.8m) from a bunch of notable investors. It’s not precisely what I need but maybe you do.

JPMorgan’s python training for business analysts and traders. Might be useful.

Eric Dai’s comments on the impact of AI / ML in drug discovery isn’t where most folks think it is. Ultimately, he suggests that a model-driven decision-making system or thinking will help organizations move toward a more data-centric way of building great products.

Also surprised that it’s a long-form post on Twitter but that’s besides the point.

An AIBOM is a comprehensive bill of materials detailing the ingredients comprising an AI system's data pipelines, models, training procedures, and operational performance to enable governance and responsible AI adoption.

The “Game of Emperors” is a thought piece on scaling laws and ROI.

An AI assistant to help you be more creative (and to communicate this to others). Visual workflows, of course. Another thought on creativity via Nick St. Pierre:

creativity might be the last frontier where AI is less likely to replace humans because it’s not just about producing something, it’s about knowing what to create and why

technical skills historically had high economic value because of the expertise required, but as they become more commoditized, creativity is emerging as the rare and valuable currency

A free extension to code with AI. They just raised $150m. Yikes.

Here’s some marketing advice from OpenAI’s and Stripe’s first marketing hire. It’s a bit of a read but if you’re in that zone, then, it might be fun reading about Krithika Muthukumar’s experience with great products.

Some more marketing stuff via Kaya on how to do marketing for AI startups.

Cartesian has made some improvements to their real-time, on-device AI.

OpenAI and Anthropic just signed an agreement with the U.S. Artificial Intelligence Safety Institute to allow government access and testing of their AI models before public release. Ohhhhhhhh snap.

Magic just shared LTM-2-mini, a model capable of processing 100 million tokens of context — equivalent to about 10 million lines of code or 750 novels.

Yale has put aside $150m for AI investment over the next 5 years.

Stephen Wolfram needs more philosophers to work on big questions for AI. As he puts it, we need more philosophical rigor to address ethical questions.

And that’s it friends! Have a great rest of your day!

※\(^o^)/※

— Summer