I'm glad I'm not the only one who was wondering what on earth OP was taking about

We have some of the highest phone bills in the world but also a ton of spam, come on CRTC

Generally, very short term memory span so have longer conversations as in more messages. Inability to recognize concepts/nonsense. Hardcoded safeguards. Extremely consistent (typically correct) writing style. The use of the Oxford comma always makes me suspicious ;)

So I'm a reasearcher in this field and you're not wrong, there is a load of hype. So the area that's been getting the most attention lately is specifically generative machine learning techniques. The techniques are not exactly new (some date back to the 80s/90s) and they aren't actually that good at learning. By that I mean they need a lot of data and computation time to get good results. Two things that have gotten easier to access recently. However, it isn't always a requirement to have such a complex system. Even Eliza, a chatbot was made back in 1966 has suprising similar to the responses of some therapy chatbots today without using any machine learning. You should try it and see for yourself, I've seen people fooled by it and the code is really simple. Also people think things like Kalman filters are "smart" but it's just straightforward math so I guess the conclusion is people have biased opinions.

Laser eye surgery

Everyone rushing to over-supply the market was not a lack of demand. Legal weed is probably the largest new market in the last 5 years! Saying the company is underperforming because of a lack of demand when people are buying from other companies is such a hollow excuse.

Looks like it's time to get out of the loop up and running again

The cannabis industry has been hampered by a lack of demand...

What? That I do not believe

Oh boy you really need to read up on current events and history if you think Canada is some kind of femenist utopia

I'm surprised no one has said london drugs https://www.londondrugs.com/about-london-drugs/about-us.html that is the closest to amazon imo. shoppersdrugmart.ca and fortinos.ca are owned by Loblaws and have an expanded marketplace selection.

Costco.ca is an american company but publicly traded. Well.ca used to be canadian but is now owned by McKesson Corporation which is American and publicly traded.

You could try to buy through etsy or look for canadian shopify stores like bee kinds https://beekindwraps.ca/ ( here is a complete list ) which are more specific sites. You can often find the same products on marketplace sites but the merchant will pay less fees if you go through their own site so try searching products too

I use soap bar bags... I can't figure out if that qualifies as barehanded or not

Soap bar bags are the superior option, they save you money too

Considering the officer has a crack habit, I think that money's long gone by now

First years have max word counts now, not minimums. That's more a highschool thing.

How does this post have negative comments? (It says -3 for me)

Hi, not from UBC, but you can usually try asking the profs from any of the courses you're taking in the area you want to go into and they'll probably give you some good advice

Do you ever pretend to be a robot just to mess with people?

I hear this from Americans a lot, here everything is pretty much online nowadays (although a friend of mine had her identity stolen so she has to get in person which is her biggest complaint about the whole thing)

Better "ban" him too as I bet his next report will have parts written by ChatGPT

The problem isn't the memory capacity, even thought the LLM can store the information, it's about prioritization/weighting. For example, if I tell chatgpt not to include a word (for example apple) in it's responses then ask it some questions then ask it a question about what are popular fruit-based pies then it will tend to pick the "better" answer of including apple pie rather than the rule I gave it a while ago about not using the word apple. We do want decaying weights on memory because most of the time old information isn't as relevant but it's one of those things that needs optimization. Imo I think we're going to get to the point where the optimal parameters for maximizing "usefullness" to the average user is different enough from what's needed to pass someone intentionally testing the AI. Mostly bc we know from other AI (like Siri) that people don't actually need that much context saved to find them helpful