Sorry, why would the baseline be their rideshare drivers instead of the average population? That seems like an arbitrary segment given that when talking about safety baselines, the average driver is what someone would reference. And why would waymo want to publish their own ride share driver safety data, especially if it is presumably not supporting their point, and what would anyone gain from them doing that? If they did do that, the counter argument would quickly be "they published ride share driver data because they know it makes them look better, why not compare to the average driver?" (Its equivalent because we do not have stats on waymo drivers vs the average driver and both statements are built off assumptions)
I believe their argument is weak but, I think it is a fair assumption that the average ride share driver is safer than the average driver. That is to say the average driver is unsafe due to the fact the average driver is the set of all people which includes the set of drunk drivers whereas we can generally assume that set of rideshare drivers don't, especially while on the clock.
That sounds like an excellent thing based on that last sentence. Anecdotally, I hear people talk about trade school as being much more practical compared to the majority of traditional 4 year degrees. So I am interpreting a "move towards trade school" as an increase in practicality and therefore utility to the student.
I just wanted to echo your comment. Most people, in my experience, pursue an undergrad program with the intention of being employable. This is my personal experience, but also a learned opinion from being a teaching assistant for some years. Places like waterloo stress co-op, it is built in to the program. IMO the average person seeking an education are served under a model that places them in or near industry related work at some point. While I understand the original post is relating to PHDs, I think most programs (or rather, participants in programs) would love to have this sort of integration despite it being a hard problem.
Interestingly enough, Kitchener, adjacent to Waterloo has a large population of German-descent. I wonder if the OP's spouse's experience in Germany has any relation.
There is no reason to assume it is “more practical” or that it will increase utility for the student. Especially at the graduate level, the deeper you are able to explore a subject and the more you can connect that subject to a broader range of topics the more utility you get from the degree. Less time to finish a degree means you are less able to do that. I would think this will decrease the likelihood of new ideas being developed which will quickly become a problem for society in general. Also no one gets a PhD because it is practical, you get it because you want to explore a topic and push the boundaries of human knowledge.
My impression is that many of the indian engineering schools are some form of trade school and it shows. A lot of people are very good at churning out things, but they vastly prefer to use well defined tools for their trade and do a lot of work impassionately. Taking the creative path or even reflecting on failures isn’t natural.
On the other side of things, you have PhDs coming out of the US with too many ideas and the inability to deal with basics such as sprint planning and CI/CD.
Not sure if this will help, but I would love it for the Colleges of Sciences peoples instead of a postdoc.
The problem is that this makes it friction-free for the student ... and the actual trade? Your wage. It takes away risk, which everybody likes, until the costs of that start accumulating. It's an excellent way to give the student a very strong reason to avoid applying anywhere else (and make applying elsewhere far less successful), and so effectively to pay them (much) less.
Get a PhD with years of experience, who knows your company, for the price of a secretary.
Practicality and utility to the student must be the reason I started getting junior software engineers that are computer illiterates out of whatever Java IDE they were taught in.
1,2,and 4 all have owners and non-owners. Are you suggesting that the parents of the adult children and the adult child should also be marked as owners?
How does the multi generational preference living theory work given the correlation to rent to income ratio? Is multi generational living preference a cause or a symptom?
Did the security researcher point the LLM at the blob of information and say "Find vulnerabilities" or was the LLM told to "determine if vulnerability X is present in this blob"? Confirmation of suspected vulnerabilities is a different problem from finding vulnerabilities.
Same. I've used it for debugging failed canary tests which required scripts and very specific knowledge on the canary platform that I wouldnt of ever spent time on.
I also have scripts to fetch specific database assets and forward them to slack channels so I can easily share them with a group rather than manually running a query and generating them.
I had a theory about improving a product. I asked it to build an offline simulation setup to try various implementations. The results were a bit fishy but i decided to give it a try and A/B testing is showing similar results.
And now im vibecoding a locally hosted dashboard. This one is less useful for anything specific, and more of a minor quality of life improvement, but its fun to just vibe code and see changes happen occasionally. Its not a critical thing.
I find it very useful for debugging tasks like that but it always ends up costing me like $3 despite doing incredible work. And then one of the other engineers at my company will rack up like $200 in tokens in one day producing tens of thousands of SLOC and we end up actually shipping about the same stuff. Sometimes I wonder if it's bad agent use discipline (just pointing it at massive codebases and having it read it all from scratch each time) and sometimes I wonder if they're just using it for personal projects. Because none of that code seems to land in prod, and I've found that cranking out 10s of thousands of SLOCs at a time is a recipe for a mess.
Yeah that's my point. You can get a ton of value for a few bucks so I'm not sure what these people are doing to torch hundreds of dollars. It's possible they haven't figured out patterns to make AI work on large codebases, and it's also possible they're just churning endless on massively bloated AI written codebases.
I work at a company that mainly makes money off ads. Theres no doubt in my mind that the end goal is to make their ads blend into organic content and make them indistinguishable. Typically that results in positive A/B metrics. Its also a reason why influencer driven ads perform well, they seem more organic.
I have recently began driving projects with multiple contributors that are following a plan I laid out and got buy-in on.
I attempted to run the project entirely asynchronous, where we had a slack channel, ICs had their section of goals and milestones, and I was there for them to consult with, provide feedback, unblock obstacles, and proactively come up with interfaces across the objectives. I thought this would be a nice high trust method of doing things that gave people ownership over their respective parts.
What happened was one person made an AI copy of the doc I had and began vending that out to everyone else, progress was quite slow and really complex in original proposed PRs (unsure if thats AI or author doing that), people did not really follow through with their implementations and it all ended up taking longer than I expected for no good reason. In the end, I lost trust in these ICs as I now feel the need to chase them and have low desire to work with them.
For the next XFN project, I will be driving a brief weekly meeting. Unfortunately the pressure seems to be important. I think there are things I could've done better communication wise at the beginning and throughout as well, but overall I felt disappointed that I had to check in to see progress.
We got broad and wide access to AI tools maybe a month ago now. AI tools meaning claude code, codex, cursor and a set of other random AI tools.
I use them very often. They've taken a lot of the fun and relaxing parts of my job away and have overall increased my stress. I am on the product side of the business and it feels necessary for me to have 10 new ideas and now the ones with the most ideas will be rewarded, which I am not as good at. Ive tried having the agents identify opportunities for infra improvements and had no good luck there. I haven't tried it for product suggestions but I think it would be poor at that too.
I get sent huge PRs and huge docs now that I wasnt sent before with pressure to accept them as is.
I write code much faster but commit it at the same pace due to reviews taking so long. I still generate single task PRs to keep them reviewable and do my own thorough review before hand. I always have an idea in ny head about how it should work before getting started, and I push the agent to use my approach. The AI tools are good at catching small bugs, like mutating things across threads. I like to use it to generate plans for implementation (that only I and the bots read, I still handwrite docs that are broadly shared and referenced).
Overall, AI has me nervous. Primarily because it does the parts that I like very well and has me spending a higher portion of my job on the things I dont like or find more tiresome.
