Gained money in Amazon and lost it nicely through MSFT and Meta. Task accomplished

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Okay what they do different off the top of my head: \- Focus on physically delivered contracts \- t+0 settlement \- improved contract efficiencies by having spot and futures in same jurisdiction close to major source of demand \- real-time commodity collateral \- real-time MMF collateral \- better identity technology to support improved KYC processes especially with cross border transactions \- graded commodities \- full console suite connecting identity technology with clearinghouse process \- All of which is patented For a competitor they would need to update their legacy systems to support this and build partners to do this which is no simple task

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The crazy part about the Elon robot axis thing is, that robotaxis ARE coming, just not from Tesla, because they insist on using inferior technology for the task at hand....

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By definition, LLMs can not attain AGI. An LLM requires human input data to "learn" a new tasks. A human has to do it first, multiple times. All it does copy a task done by a human. People are mistaking statistical pattern matching with learning. That isn't AGI. Edit: I know ball here

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LLMs with well constructed routines for agentic processing and long term memory can do it. Getting those both right is extremely difficult though, which is why it will take a few more years. GPT-5-thinking is 10x better than GPT-4 was on its release. The improvements feel milder because they continuously updated GPT-4 afterward. Right now the amount of time LLM agents can spend working competently on a task is doubling every 3-6 months. Unless that trend falls apart, AI workers are only a matter of time.

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Chat GPT is literal Trash GPT, I needed it to delete tasks, it no longer knew where the task ID was located in order to delete it. The AI said I have to contact support and have them find it. I’m over here like “YOU ARE FUCKING AI WHY THE FUCK CANT YOU CONTACT YOUR OWN FUCKING SUPPORT TO FIX THE ISSUE” it literally created more work for me than less. Needless to say, this is when I realized AI is 99% smoke and mirrors. It’s still going to replace a fuck ton of works force and remove jobs that were trivial but I’ll be damned if they start using it for engineering.

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F it i guess ill get a job "For all Great Law Enforcement Patriots who would like to join the World’s Premier Law Enforcement Task Force, where Police Officers are fully allowed and empowered to do their job and battle crime, apply today to join the Make D.C. Safe Task Force! You will be at the cutting edge of defending our Nation’s Capital City from all dangers and threats, and will be able to join the elite Agency of your choice. If you have strong experience, you can begin on the Task Force, IMMEDIATELY! [safedc.gov/](https://safedc.gov/)" - DJT

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I'd compare the fidelity output of AI to what you'd be willing to pay someone to pull the same information/provide a response. If the expense to get a higher quality output is more than you are willing to pay then you are net ahead. You'd handle the chance AI is wrong like you would handle the same task given to a human. You run tests get a gauge for how often it's wrong in any given task type and adjust processes to avoid problems. If you have a flawless error free process running, then you don't need AI anyway. A good use case I've heard for current iteration is assigning tickets to different teams. Most large companies have notoriously bad ticket management. Hell even if it's slightly worse it has the benefit of being instant. The fallout from a mistake is low. No one is going to make a trillion dollars with a ticket management AI software but just trying to show an easy example.

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I had a discussion with HR about a task I'm not supposed to do, but have to for some time. The logistics and organization is a mess and she just said “ use chatgpt” Hey! It's not a magical word that solves everything. We are talking about taking data from different sources, even orally on the phone,then put the data into a web based system using a lot of parameters, conditions etc. and ultimately using another completely different web service to assign tasks. Right now, EVERYTHING is done manually. I'm currently learning as I go and I should figure out a whole scheme to automate a bunch of services that can't communicate with each other from beginning to end? Da fuck !

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lmao I like how you word "taking inventory" as if it is some dystopian task.

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