1,293 karma · joined August 14, 2023
The biggest problem I see with AI isn't deskilling. It's the same dopamine hit one gets from social media but for their profession.
But the rich buy “justice”. Us plebes are meant to “face justice”.
Trump calling Musk to not do it is just reality theater. Someone from the executive chain of command ordered this.
Remember the Iran fiasco has diesel prices being sky high. There's an election around the corner and Russian oil is needed to stabilize the prices. It is Ukraine's right to strike Russian oil assets, but if they're using US military tech, US interests will control how it is used.
The companies and partners need to maximize payout. They go on this track of cost reduction via layoffs and basically saying - “the model can do everything”. They know it’s not the case yet they still flood the airwaves and cause fud among all clueless c-suite executives. Which is the goal to begin with.
The second category goes all out against it. Professors, educators, school districts whose operating processes have not caught up to all the cheating that can happen. Here these folks have a point. I am sympathetic to this. It is hard to change education and it requires careful thought.
I feel this presentation brings out a good middle ground. The tech is useful but it’s not all encompassing. The tech also has other concrete uses. As an example, I have always wanted to explore the intersection of category theory, formal verification and AI guardrails and prompting. Proof writing has been a chore because I have a day job. Maybe the AI can help here.
Companies have usually gotten around it saying we r laying off in 1 division but hiring in another. Maybe that hand waving can’t be swept under the rug anymore.
I get what you’re saying and agree. But if there is no statistically significant jump in the number from historical data for previous administrations then I can conclude that the reporting is politically motivated.
I won’t go to a bar or a club alone. I don’t like it. But a good set of friends in a familiar location like my house (or theirs) makes for a really good time. We definitely try to get together at least once every couple of months.
There’s already visa free travel from Canada to the EU and trade deals in progress. It’s unclear what specific benefits the associate member deal provides.
If I was a mathematician looking for a simple solution, I would go for GitHub too. Software engineering concerns don’t really apply here.
There is a lot of hand wringing in the software space about ai code being a mess - but from a product perspective code quality doesn’t matter. It’s the reliability of what people (or agents) use that matters.
Code quality used to further that goal but only because it was really hard to rewrite or fix code. If that barrier is removed does anyone really care what the code quality under the hood is?
Take category theory for example. The initial mathematics appeared in 1942. The application to social sciences started in about 1970 and I’m not sure of the level of uptake at the current time but a quick AI search says applications have accelerated in the past decade (needs verification).
Calculus was invented in 1670, it was about 1680-1700 till it started actually being used in astronomy. The uptake was probably faster because at that time a lot of mathematicians were Astronomers as well.
There is a lot of mathematics created but we don’t yet know how to use it. My hope is that AI can bridge the search gap to accelerate this.
My problem has been that once I started doing the audiobooks/podcasts, it has been really hard to reclaim my focus to read. I used to be able to power through books. Now, there always seems to be a distraction at hand.