TL;DR: visibility and control for all connections (marketplace apps, 4th parties) to your 3rd party SaaS platforms. See which connections are active as well as when and how much they transmit. Transparent token splitting to force connections through the proxy as well as instant token revocation and ACLs.

We are currently building this and would appreciate your feedback!

They recently launched their Robotaxi service in Austin, and it seems to be as good as Waymo or better. https://youtu.be/RcaBZenrCCs

They also recently autonomously delivered a car to a customer’s apartment straight from the factory line. https://youtu.be/lRRtW16GalE

>Had a great productive chat with @elonmusk before leaving, would’ve stuck around longer if I didn’t have the itch to chase a specific vision.

>Don’t see any capacity eroding on his front like the article mentions

Did you list the returns of the commodities as a comparison, or are you trading those futures as well in the mix? (I know you only talked about ES/MES)

Am I understanding you correctly that you would want something that still had cameras at head height, but simply didn't have the head form factor? And perhaps had 4 arms for some tasks that it would benefit from instead of being limited to two arms?

If so, how many environments are you going to build robots for? And how does your total overall build cost increase with each different model you build?

Doesn't matter if it's simper in the end-design if getting there ends up costing you as much as it would to build a general purpose design in the first place.

Nowhere do they describe initial starting conditions for the batteries / vehicles besides saying 10% SOC at start.

Also neat that we ended up with complimentary energy generation and storage technologies to fix the "it gets dark at night" problem of solar electricity generation!

BYD's numbers often contain plugin hybrids (PHEV). So if you're trying to compare apples/apples, be sure to look at pure-battery EVs between the two.

Note 'electrified' from a different article from Barrons: "BYD delivered 206,089 electrified passenger vehicles in March [2023], up about 98% from the 104,338 delivered in March 2022. The March 2023 figures include 102,670 all battery electric vehicles and 103,419 plug-in hybrid models."

Are you using OptionNet Explorer or OptionVue, or just your own software using the math you learned from your CBOE friend?

Interesting to hear about trying to use the Kelly criterion. I've always thought of it for bet sizing, which is tough since you never know your true odds (unlike counting cards, for instance).

For my own trading, I am having moderate success with selling premium on index options. I find it tough to make a meaningful amount of money while keeping blow-up risk low.

Reminds me of "just don't fucking dance." https://www.youtube.com/watch?v=7eYcWpgCb7o

Do you frequent any online communities of professionals, or is it just you, your spouse, and your mentors?

Beyond wanting to learn alternative approaches myself, I help moderate a local trading group. We are always looking for presenters in our monthly meetings.

Started playing MMOs in 2001 and it wasn't until this day that I learned why they were called mobs. Wow.

You can imagine how a third party entity would make constant searches for seat and flight availability, spurred by all the possible permutations of airports and flight schedules. This flurry of activity rockets up the number of "looks" to the number of actual "books".

These third parties might be Online Travel Agencies trying to get around their own contractual limits with the GDS, or it might be companies that sell the schedule and fare data as competitive intelligence.

For now, the GDS' and airlines try to solve the problem with anti-bot solutions to keep contractual overages low.

If someone could instead solve the underlying structural problem (computational intensity? cost of compute? cost of running a GDS? offer free fare and schedule data to all?), they could probably crack open a multi-million dollar market opportunity.