This is the first publicly-disclosed LLM prompt used by a major Wall Street firm to generate stock predictions. Only made available due to JPMorgan's recent patent filing for its AI stock picking system.
Do you know how I know Meta juices their numbers? You can't unsubscribe to newsletters as a dev. The unsub link is there, the confirmation message is there, but they just never process it. This is a multi-billion dollar company and so I refuse to think this isn't intentional.
As a consequence of being in the commodities supercycle, countries around the world are going to see street crime tick up as copper, platinum, palladium skyrocket in value.
Prediction markets can be gamed easily according to https://t.co/jql5KCFZDS
Just place limit orders and let others trade into you. Sell 'Yes' since people overpay for them. Focus on high-emotion, low-expertise categories like sports, entertainment, crypto.
AI diagnosis tools are going to be crucial in debugging AI-controlled robots. Robots process billions of parameters that human technicians aren't able to diagnose. Someone work on this, stat.
Content creators and online personalities have started sharing their portfolios' performances for 2025. Seeing them barely beat the S&P500 (and with so much effort) while being so confident in their posts strengthens my conviction that you have to do the research yourself.
@andersnyk@JustinPBarnett One important difference though is that NES didn't make anyone physically sick. That's a really hard problem to solve as we've all seen. It seems like no matter what, there's a decent sized population that will always get simsick no matter what. That's a big hurdle to overcome.
@JustinPBarnett@anduriltech I've been investing in equities for close to 20 years now with decent success. So I thought I might share that edge with other retail investors, especially during times like these where most people are suffering financially. The only way out is through portfolio growth (for most)
@JustinPBarnett I try not to have that kind of thinking. That's exactly what's said about every paradigm changing tech before they're widely adopted. VR could be widely useful if/once information and content becomes three dimensional. Data does have a way of increasing in complexity over time.