It is also likely LLMs will change programming languages, we will probably move to more formal, type safe languages that the LLM can work with better. You might be good at your language but find the world shifts to a new one that everyone has to use LLMs to be effective for.

https://en.wikipedia.org/wiki/Olog

It would be interesting to know what you see is different about your approach that would lead to more adoption?

https://about.fb.com/news/2024/02/update-on-facebook-news-us...

"The number of people using Facebook News in Australia and the U.S. has dropped by over 80% last year. "

For example, perhaps better funded hospitals have more females on staff, and that drives the clinical outcomes.

Or maybe this relationship was one of thousands of possible relationships, as it is clear they have examined as much, and it's just appeared statistically significant by chance.

The reason nuclear costs so much is because we've stopped building plants. There's no industry anymore, let alone economies of scale. It's a fallacious argument to say it costs too much. If we went all in on nuclear to tackle climate change the costs would quickly collapse. After all, they were built in the 70s and dramatically decarbonized the industry at the time.

Under your logic no company would ever raise equity to pay off debt.

Connectivity has a cost, and none of these networks will amount to anything unless the model can incentivize all aspects of the infrastructure necessary

https://www.pv-tech.org/news/wacker-chemie-blames-chinas-pol...

By putting a fixed point vs the appropriate wide ranging distribution as the prior, the model scores the results far higher than otherwise.

This is a non-result and it was wildly inappropriate to publish this as proof of any finding.

[1] https://pfe-pfizercom-d8-prod.s3.amazonaws.com/2020-11/C4591... Page 15

Maybe because you're from the sell side you're hearing what you want to, it often puzzles me some of the views that you guys have on the market, the role you have just doesn't actually matter that much to the market. A stock is a business, not an investment banking product. The investment banking actions over the life of the business are out-sized, but they also quickly fade to be indiscernible - Facebook would still be the same company today and worth the same amount today even if it was backdoor listed on the pink sheets at first.

You've shoe-horned this logic that usually belongs in linear algebra world into a database table form, there's some initiative there but this has also been heavily explored in the academic field under the topic of Probabilistic Databases. BayesDB is a full implementation of what you've just described, with a much deeper inference engine utilizing joint distributions rather than just distributions that exactly match the sample.