Apart from the actual exploit, it is intriguing to see how a security researcher can leverage an AI tool to give them an asymmetric advantage to the actual developers of the code. Devs are pretty focused on their own subsystem and it would take serendipity or a ton of experience to be able to spot such patterns.
Thinking about this more .. given all the AI generated code being put into production these days (I routinely see posts of anthropic and others boast how much code is being written by AI). I can see it being much, much harder to review all the code being written by AIs. It makes a lot of sense to use an AI system to find vulnerabilities that humans don't have time to catch.
I fear SK is a harbinger of what's to come in other developed western countries. Companies seem to follow each other in getting more out of workers. When jobs and career become the most important thing (for survival, professional satisfaction or lifestyle), then family life suffers. Even with superb (albeit costly) child care that I avail, my wife has to throttle down her career to put taking care of the kids first, while I prioritize income generation. I have to put considerable thought into how I spend quality time with my kids (including taking a risk that a delayed email response will have professional costs for me). But I feel far more fortunate than my wife (who has to pay a heavy toll forgoing her professional aspirations). Society needs to evolve to do better to support working parents and caregivers.
I think small scale entrepreneurship might be a solution to the current corp craziness. Also, need to ensure lifestyle creep doesn't occur. Easier said then done.
I recently got a 5090 with 64 GB of RAM (intel cpu). Was just looking for a strong model I can host locally. If I had performance of GPT4-o, I'd be content. Are there any suggestions or cases where people got disappointed?
I am a manager. It is pretty bad in terms of tracking. Wandb looks great but really expensive (small team in a super large corp, pricing we were quoted plus the challenges of no-saas made this a no go for me). Been trying to get team members to mlflow and some adjacent tools but it is too hard to do it right.
So Walmart Canada's pick up seemed to develop in front of my eyes. At the start of the pandemic, there were almost no spots and they screwed up a lot. E.g you'd get half the items you ordered, wrong items, would not get pick up order ready in time, fee on orders, etc. Whoever ran the show, executed brilliantly. It kept getting better. A relative scoffed at my high praise, and I convinced him to try it .. he too was blown away. I bring this up because so many Canadian retailers acted stupidly and frankly, many old school businesses keep doing this all the time (looking at you Costco .. Costco seemed to have pretended the pandemic did not happen .. they did not develop a touchless pick up model at all, and their online prices seemed to always be higher than the store price .. cancelled my membership there).
Out of all the retailers I have experience with, the pandemic winner was Walmart (Canada) hands-down. They kept iterating their app and pickup experience (order via app and they put the groceries in your trunk) .. I am an extremely satisfied customer and have increased my spend there!
Losers for me were Home Depot and Canadian Tire. They iterated slowly and when they did, made things worse it seemed.
I agree that this was a train wreck in slow motion. What is sad is I didn't see any significant open engagement with GTA's existing tech scene (did hear a lot of talk of it though). Maybe the VCs club had access but as a technologist, I certainly didn't. If this was happening in SF, there would be grass roots meetups all over the place, and a more serious focus on action rather than planning.
Thinking about this more .. given all the AI generated code being put into production these days (I routinely see posts of anthropic and others boast how much code is being written by AI). I can see it being much, much harder to review all the code being written by AIs. It makes a lot of sense to use an AI system to find vulnerabilities that humans don't have time to catch.