So we're posting AI-generated content to Hacker News now? I'm more than happy to read an article on something like this, but simply asking a chatbot to answer the question is not "news" or something that should really be shared here.
This gets at the concept of accountability for those at the top of government. This is an issue in all governments, not just in Canada. A good parallel would be the United States. The list of actions the current administration has taken which have been determined illegal is astounding, yet no one is held accountable in a way that would deter future breaches of the law.
This is the kind of advice I give incoming graduate students. The sooner you start to treat grad school like a full-time job, the better. I was in a similar boat: my wife and I were both in grad school at the same time. We worked 9-5 every day, even if we weren't going in to the office. We both finished on time, and generally didn't have a difficult time with our degrees.
Or lucky! I had a great time during mine because my advisory was amazing. However, my cohort mates, many of whom I'd say are much smarter/intelligent than I, got stuck with terrible mentors.
His guide to doing well in undergraduate courses is decent enough that I've sent it around to my students as well. I sometimes have to teach first or second year students and the amount of questions I get about how to study or how to do well is significant. We kind of forget that this is a learned behavior, and everyone learns it at different times in their lives (or not at all).
Yeah the sound stage definitely gets impacted. I tend to use leather cups in the winter and fabric ones in the summer. Nothing worse than sweating from your temples while you work.
My thoughts exactly. I reads a lot like they are trying to minimize the state's power to regulate AI. I'm not sure that's such a good thing. Regulation is one of the only ways that we can manage the ``bads'' that come with any new technology. In the US, we've never been very good at regulating new technologies before industry stakeholders entrench themselves in the lobbying circuit.
I think the most consumer friendly options would be a pay as you go model or a pay for tiers of use (e.g., $X for 500 queries, $XX for 1000 queries, etc.).
However they really are banking on the idea that people pay a bunch up front and use it fairly minimally. This allows them to make profit on the subscribers to pay for queries by free users. I have no idea where the pricing model will go in the future but it wouldn’t surprise me if pricing models become the primary method for fighting for market share as opposed to the AI’s actual ability.
I have really enjoyed AirportCEO on steam. I would check it out, might be exactly what you’re looking for. Another option would be to get the mods for MS Flight Simulator that allow you to create an airline and make money and grow your business, etc.
Give it a rest. What they really mean is a group of scientists who are known to publish together. They’re just using the word mafia inappropriately/jokingly.
It's an interesting thought experiment, but ultimately boils down to one point. YT gets to do whatever they want. The terms of service are designed so they can be selective in their enforcement.
Is it bad policy? Yes. Does it allow for flexibility in a world that is never black and white? Also yes. Honestly, if there was a better solution, what would it be? The questions are endless once you start down this rabbit hole.
You’re not wrong. Google does have a history of ending products. Honestly, someone should read the fine print and figure out if there is a clause in there that actually allows they to end support whenever they feel like it. I have an inkling that there is…
> My overconfidence was that scientists, as individuals and as a community, would always do the right thing...
This is a great point. I'm shocked by how often I end up working on a project with a colleague who is taking the path of least resistance. In my field, this usually results in using decades old statistical methods than have been proven time and time again to be unsatisfactory. They just don't want to learn new methods or their technical expertise aren't good enough to learn how to implement the new approaches. So they just coast. I'm not sure what to do in these situations other than just try and set a positive example.