All I can do is hold the people around me accountable for doing high quality work. But everywhere I look, there are too much incentive to just let AI do the thinking for you. My generation will be okay for the most part, since we spent decades thinking prior to AI. It is unclear if the next generations, that haven't already learned how to think, will ever learn.
I get AI slop from employees sometimes. If they provide poor quality work that hasn't been proofread, that is an employee problem, not an AI problem.
Also, I don't think that destination dispatch would work if the elevator didn't commit to going to the users's floor at the point the user got onboard. It may also stop at additional floors that weren't committed to when the user entered, and it may drop floors it was thinking of going to before it picked up the user (if the user onboard isn't going to those floors), but once the user gets onboard, that floor is a hard commitment.
Why not have active display above each elevator that says what floors it is going to when it opens?
It turns out these fancy kiosks are in general worse for wait times compared to the traditional good ol' up and down buttons. There are certainly edge cases when the kiosks can win out (extremely tall buildings with 8+ cars per elevator bank) but for the majority of cases, simple up down buttons reign supreme.
This counterintuitive result is all thanks to the rebalancing step where every 5 seconds, the system re-optimizes each elevator's path. The kiosk enforces rigidity, you must get in the assigned elevator.
There should be no way that only having more information results in a worse outcome. At minimum, you could ignore the extra information, and achieve the same results as using up and down buttons.
Seems like the real reason it performed worse in this simulation is that when they implemented destination dispatch, they assigned an elevator at time of request, and had no system for reviewing and updated that assignment.
The reformation was highly religious of course, but it was also about reading original sources, devolving power from a central authority, and allowing individuals to discover the truth.
Sometimes I think that the catholic church is like Leto II in Dune - ruling people so that they will rebel in a way that there can never again be a central power structure.
What is your workflow for llm integration to openscad?
SECTION 1. SHORT TITLE. This joint resolution may be cited as the ‘‘Authorization for Use of Military Force’’. SEC. 2. AUTHORIZATION FOR USE OF UNITED STATES ARMED FORCES. (a) IN GENERAL.—That the President is authorized to use all necessary and appropriate force against those nations, organizations, or persons he determines planned, authorized, committed, or aided the terrorist attacks that occurred on September 11, 2001, or harbored such organizations or persons, in order to prevent any future acts of international terrorism against the United States by such nations, organizations or persons.
Google docs is better than Microsoft office, but only by a little.
Google drive is many many orders of magnitude better than Sharepoint.
As far as possible reasons that a computer can’t achieve AGI go, this seems like the best one (assuming computer means digital computer of course).
But in a philosophical sense, a computer obeys the same laws of physics that a brain does, and the transistors are analog devices that are being used to create a digital architecture. So whatever makes you brain have uncountable states would also make a real digital computer have uncountable states. Of course we can claim that only the digital layer on top matters, but why?
Hallucination does seem to be much less of an issue now. I hardly even hear about it - like it just faded away.
As far as I can tell smart engineers are using AI tools, particularly people doing coding, but even non-coding roles.
The criticism feels about three years out of date.
What if chatbots and user interactions ARE the path to AGI? Two reasons they could be: (1) Reinforcement learning in AI has proven to be very powerful. Humans get to GI through learning too - they aren’t born with much intelligence. Interactions between AI and humans may be the fastest way to get to AGI. (2) The classic Silicon Valley startup model is to push to customers as soon as possible (MVP). You don’t develop the perfect solution in isolation, and then deploy it once it is polished. You get users to try it and give feedback as soon as you have something they can try.
I don’t have any special insight into AI or AGI, but I don’t think OpenAI selling useful and profitable products is proof that there won’t be AI.
https://en.wikipedia.org/wiki/List_of_sovereign_states_by_re...
There must be some good options for modern ERP and MRP software, but it is hard to tell what is legitimate. Some software looks suitable for a job shop, but not a full design and manufacturing company. I would prefer to avoid Oracle, SAP, Infor.My goals: - easily configurable without an army of consultants - modular - useable through APIs
I keep wondering if these folks have a realistic alternative: https://www.nironmagnetics.com/ (They claim high performance rare earth free magnets.)
https://en.wikipedia.org/wiki/The_Art_of_Doing_Science_and_E...
Maybe the argument is that if you turn off the randomness you don’t have an LLM like result any more?
Black mirror was a British show first. I don’t know the others except for Man on the Inside - I’m skeptical, but if it turns out to as good as The Good Place, it will be impressive for Netflix.