It's cultural too. I've heard people say along the lines "we don't ship the org chart here" in a positive light, then in a later meeting complain that nobody understands what's going on in their owner-less monorepo.
Shipping the org chart isn't the only way to solve this problem but it is one that can work. But if you don't acknowledge the relationship between those problems, AGI itself probably isn't going to help (partially sarcastic).
This sounds like a problem that could be solved around the corner with a caveat.
Games generally are solvable for AI because they have feedback loops and a clear success or failure criteria. If the "picking up a Joystick" part is the limiting factor, sure. But why would we want robots to use an interface (especially a modern controller) heavily optimized for human hands; that seems like the definition of a horseless carriage.
I'm sure if you compared a monkey and a dolphins performance using a joystick you'd get results that aren't really correlated with their intelligence. I would guess that if you gave robots an R2D2 like port to jack into and play a game, that problem could be solved relatively quickly.
I think it also depends on what the professor's and the student's goals are; and if they're aligned.
Is the course about learning the material at hand, or laying the foundation for graduate level courses in the same subject? About teaching the most efficient way or getting a student used to deriving equations when there's not a plug and play formula.
I'm sure we can draw similar parallels between csci college courses, big tech interviews, and professional software development. Even though it's all the same pipeline, each stage/stakeholder has different goals, motivations, etc... If you're having a discussion about the pros and cons of an approach, you have to make sure the goals are aligned else you'll just be talking past each other.
A "good" prediction market is when it functions as an accountability market. The insider trading problem isn't an issue if the outcome is for a greater good. The problem is that money is the easiest way to ensure anonymous predictors are serious about their predictions and getting richer is not a greater good. If you were to require politicians to participate in a reputational prediction market, the aligned incentives might make it a positive thing.
You could let ordinary people piggy back participate too, and then use the results to filter through internet/media noise but that starts to smell too social score-ish.
Voters aren't likely to care until their retirement amount stops growing and suddenly their projections/plans go out the window. Then they'll suddenly start caring whether they understand the reasons why or not.
I have mixed feelings about their handling of TW Warhammer III. Parts of it are harder to defend (Initial campaign, buggy releases) but the expectations of the fans are arguably a bit crazy. I have 1.8k hours between TWW II + III, which probably isn't an outlier of the typical fan i read feedback from as a lurker on /r/TotalWar.
People expect a DLC provide them 100s of hours of new/fresh gameplay that will allow them to play the same game for 3-6 months until the next DLC release. Comparatively you could look at the same amount of content and play 50ish hours of game play then set it down and play something else until the next DLC. Even though my play style is closer to the former, I think the expectations of the latter are more healthy. This mismatch of expectations and the pricing of any DLC (which adds in macro factors outside of the Dev's control) has lead to such toxicity on the subreddit at times.
It's also interesting how much that toxicity has subsided in recent months with positive releases, better/consistent developer correspondence. Which maybe points to my expectations opinion being a bit wrong.
Interesting in the context of BGIII and its extended early access. I had to stop playing after a play through or two of EA because i wanted the game to still feel fresh when the entire game came out.
Agreed but using examples like Taylor Swift in music is far off from focusing purely on (exited) unicorns when talking about VC. You have to look outside the 99th percentile to find generalized insights.
> Overwhelmingly, people get promoted because they solve challenging problems with meaningful impact. That's how capitalism and modern corporation work.
It's key to ask, does the promotion (or strong performance rating) happen before the impact or after?
You can deliver Project X that will save $YY Million dollars. Everyone agrees the impact is "there", the complexity is there. Launch a PoC to a handful of use cases, realize most of that impact, then move onto something else. PoC works for those use cases, never becomes a complete solution, and slowly develops issues. Once it has enough issues, someone else can solve the problem again for the even more impact assuming the problem space has grown since the initial launch.
Capitalism works when there's competition and cost for (long-term) failure. Neither are guaranteed to exist if you're at a Big Corp that's printing money.
Works out well for the legislature too. Plenty of topics to campaign on. Plenty of chance to grandstand on social media, in hearings, in the regular media. Get re-elected while solving no problems. "Half" the population will always vote for you because the alternative is socialist/fascist. It's a version of the lazy google engineer [1] that makes less money but has potential for national fame and maybe some insider trading.
If the legislature was getting screwed by this arrangement there would be a lot less deadlock in congress and the power of the judicial branch would be relatively less. And somehow this take is somehow less cynical then yours? What a world we live in.
So everyone at your dinner party gets to eat "better" food? Unless the point of the party was for you to cook then it's an improved experience.
GenAI is a tool that lets creators of one medium expand to other mediums without much effort. Like having transcripts auto-generated for a visual podcast, just in the other direction. Low budget (or amateur) poems/songs can turn into short videos; or replace generic album art with better quality generic album art.
The draw will be the primary medium, the rest will just be an extra bonus.
Mac Studio Pro's with up to 192GB ram are an alternative here too though still on the M2 Ultra chips if you don't need the portability. Not sure how relevant the generation bump is for running the models.
Might be a good hold-over for X years until the consumer hardware catches up and/or the model optimizations make the same hardware perform up to today's DC hardware.
Shipping the org chart isn't the only way to solve this problem but it is one that can work. But if you don't acknowledge the relationship between those problems, AGI itself probably isn't going to help (partially sarcastic).