Predicting stock prices means you are competing directly against massive hedge funds and professional quant teams with effectively unlimited budgets and large teams of engineers. These professionals are already using and constantly tweaking the latest models to gain an advantage.
It is highly unlikely that you guys or any individual, even utilizing the latest LLMs will consistently discover an edge that beats the market over the long run.
Singapore pays its public officials high salaries primarily to ensure the integrity and quality of its government. The official justification centers on attracting top talent who could otherwise command high incomes in the private sector, thereby establishing a "clean wage" that reduces the financial incentive for corruption. Salaries are explicitly benchmarked to the median income of the nation's highest earners.
This makes so much sense to me. If the public sector is compensated the same or slightly better than the public, then naturally we’d attract the best people to the public sector.
Personally I never considered a career in the public sector mostly because there is an expectation in my country (US) that I would be poorly compensated.
Singapore pays its public officials high salaries primarily to ensure the integrity and quality of its government. The official justification centers on attracting top talent who could otherwise command high incomes in the private sector, thereby establishing a "clean wage" that reduces the financial incentive for corruption. Salaries are explicitly benchmarked to the median income of the nation's highest earners.
e.g.,
Singapore PM annual salary: ~$1.63 million USD
Singapore President salary: ~$1.14 million USD
(These are the highest public salaries in the world for politicians)
The fact that I'm getting rate-limited every day even though my company has enterprise-level subscriptions to gemini, chatgpt, etc. tells me this bubble is far from popping. I predict within a year 80%+ of devs will be using LLMs to write most of their code for them.
If it is so certain that will happen this year, why didn't it happen already last year, or the year before that? By most peoples measures the codegen hasn't improved. Some believe the newly released models are even a regression on the old in favor of saving costs.
The tooling for autonomous programming agents are still improving and being iterated upon. Developing integrations with various systems and learning how to most effectively make use of agents is an ongoing and open problem. Adoption has actually been reasonably fast.
This is why I format any Windows 11 pre-installed machine and install Windows 10 on it (Windows 10 is much leaner and has less bloatware than Windows 11).
And still is full of telemetry, background tasks that waste resources, forced updates and so many many anti patterns to get you to click the upgrade or online something.
Yes, also Windows 10. You need to use way too much time to turn it off and limit it, as much as can be done. Every time you run an update, settings might have reverted, so you need to check for that.
Doesn't the iOS app mostly just channel info directly from other sources like the local gov't weather service? I suppose maybe they tried to put some intelligence into it when they bought Dark Sky. That seems about the time it started trying to predict rainfall in the next few minutes. Which hasn't ever worked for me.
He's already out. Livestreaming his stock trades on X everyday. Probably has less interest in being an officer. He can still short pharma companies freely now.
It is highly unlikely that you guys or any individual, even utilizing the latest LLMs will consistently discover an edge that beats the market over the long run.
reply