"This item will arrive tomorrow at 9 AM" -> Pay -> "Sorry this item can't be delivered by tomorrow will be delivered 2 days later" -> Next day -> "This item will be delivered 3 weeks from now"
When I start exercising and tracking how many calories I burn, I realize how hard it is to outrun your diet. Thinking, "This cookie would cost me 35 minutes on the treadmill," is a huge deterrent.
When I stop working out, I quickly forget what calories actually cost.
In an attempt to get outside of benchmark gaming I had it make Platypus on a Tricycle. It's not as good as pelican on bicycle. https://www.svgviewer.dev/s/BiRht5hX
I think people like me just enjoying sharing when something is working for them and they have a good experience. It probably gets voted up because people enjoy reading when that happens
I have been using chatGPT a ton over the last months and paying the subscription. Used it for coding, news, stock analysis, daily problems, and a whatever I could think of. I decided to give Gemini a go when version three came out to great reviews. Gemini handles every single one of my uses cases much better and consistently gives better answers. This is especially true for situations were searching the web for current information is important, makes sense that google would be better. Also OCR is phenomenal chatgpt can't read my bad hand writing but Gemini can easily. Only downsides are in the polish department, there are more app bugs and I usually have to leave the happen or the session terminates. There are bugs with uploading photos. The biggest complaint is that all links get inserted into google search and then I have to manipulate them when they should go directly to the chosen website, this has to be some kind of internal org KPI nonsense. Overall, my conclusion is that ChatGPT has lost and won't catch up because of the search integration strength.
My read on this is most jobs growth in raw numbers occurs in the lower pay brackets. In those pay brackets supply has decreased and the people doing the hiring have not raised wages. This means these jobs aren't being filled and the work isn't getting done. This leads to lower jobs numbers and keeps unemployment rates stable.
Have done some of these recently
- Smaller teams are better value/$ spent [Confirmed]
- More frequent releases accelerate learning what has real value [No improvement]
- Limiting work in progress, solving one problem at a time,increases delivery throughput [Continued]
- Cross-functional teams experience fewer bottlenecks and blockers than specialised teams [Confirmed]
Empowered, self-organising teams spend less time waiting for decisions and more time getting sh*t done [Confirmed]
Additionally, smaller teams 1-3 engineers per project who are empowered are much happier. Side effect was time spent on process, tickets, communication dropped dramatically. Time spent on creating and confirming increased.
In a large organization solving your own blockers can be the difference between releasing next week and releasing next quarter. More frequent releases only help in a business where users adopt new features quickly.
Paid for it and tried out the full experience, beats anything else I've tried by a wide margin.
My prompt,
"I'm considering buying stock in the company with symbol NU. The most important thing to me is answering the question, is the stock likely to rise in the future. Please help create a list of questions that will help me to understand the likely hood of this. Also please help to anwser those questions. Please highlight the global economic environment for the company. Any unique challenges and unique advantages. Finally let me know what others think of it"
Results:
I know this stock well all though I'm not a pro. It nailed all of the relevant aspects and hits the analysis right on for everything I know about it. Pulled lot's of helpful resources and most importantly the information was timely enough to be relevant. The timely part is where other LLMS have failed miserably. I've gotten good analysis from other LLM products but they have always been way out of date which makes them useless.