pranade

Any RF engineers out there? Curious for your feedback

Congrats Paras – amazing story!

Great question. The CPG data landscape is a fragmented mess. We're actually tackling this at arena (https://arena-ai.com) to build out AI foundation models for the industry. We have some tips and potentially tools that might be useful to you. Would be great to get your input / hear your pain points if you're up for it

Nice work!

This kid is awesome

The subluminal application is particularly interesting, because it seems almost feasible. Is there a practical path to meeting these mass/energy requirements though?

Love the design -- pretty cool work!

Arena | Lead Machine Learning Scientist + Deep Learning Scientist | Full-time | Remote / NYC — We founded Arena a little over a year ago, to bring advanced ML techniques out of the lab (lots of active learning, for instance), and apply them at scale, for large enterprises where we can measurably prove impact. We're profitable, with multiple large scale Fortune 500 customers in pilots & in production.

There are 8 of us on the team, almost entirely technical – a mix of Machine Learning Engineers and Scientists with deep academic background and experience. The team includes 3 former founders. Co-founder and CEO founded Kimono Labs (YC W14, acquired by Palantir).

Competitive compensation, with material equity ownership for the right fit. — Apply by sending us an email: [email protected] | https://arena-ai.com

Interesting, thanks for putting this together. Curious – have you found good sources of granular data for credit card spending and movement patterns, perhaps from traffic/ride-sharing/mobile (that's anonymous/protects user privacy ofc)?

Thanks for flagging this. Working on a fix now!

Great references -- thanks!

Thanks for the feedback. 100% agree, we will make that bolder and bigger so it's super clear

Arena | Active learning AI for pricing | NYC | https://arena-ai.com/

Hiring 1 Machine Learning Scientist & 1 Front-end engineer. Founded by YC alum (Kimono W14). Team = 5 people. Founded 1 year ago. Profitable. Hyper-linear growth.

Email us at [email protected]

Today we are focused on pricing. We built a simulator that models hyper-specific market conditions and competitive dynamics to allow human users and AI agents to predict what will happen if they change the price of a product.

Pricing is just the start. We plan to create simulated, virtual copies of many more real environments - with the ultimate purpose of training a broader set of reinforcement learning agents for different tasks.

Arena | Active learning AI for Pricing | NYC | Full-time | https://arena-ai.com/

Hiring 1 Machine Learning Scientist & 1 Front-End engineer. Founded by YC alum (Kimono W14). Team = 5 ppl. Founded < 1 year ago. Profitable. Hyper-linear growth.

Email us at [email protected]

Today, we are focused on pricing. We built a simulator that models hyper-specific market conditions and competitor dynamics to allow human users and AI agents to predict what will happen if they change the price of a product.

Pricing is just the start. We plan to create simulated, virtual copies of many more parts of the physical world – with the ultimate purpose of training a broader set of reinforcement learning agents for different tasks.

Super interesting article. Curious, with the pharmaceutical developments we have already, what would be an upper bound for human AQ today? How might we measure it?

Interesting. Are there plans to make any of this available online, e.g., Coursera?

Awesome!

Awesome stuff, guys!

Yes, in fact we built API in partnership with EDGAR-online. It uses EDGAR-Online data but makes it available in a manner that's easier to digest and consume.