The amount of times I've read a very thoughtful article only for the comments to be political drivel (the worst was peak-COVID SF discourse) weakens your argument quite a bit.

It's even more foolish to think outside forces aren't using bots/tech to sway the discourse.

Just because it's not engineered for the mainstream's dopamine addiction doesn't mean it doesn't do the same thing.

Because the fundamental building block of society (which we are losing rapidly) is some amount of care for your fellow person.

Your comment is a great example of how we Prisoner's Dilemma'ed ourselves into a world of isolation and decaying institutions.

This isn't even close to true and it's kind of the central thesis of this article.

Saudi Aramco has consistently been a $2tn company in the oil market.

Walmart is a $1tn-ish company focusing on a fraction of US retail.

It also ignores the idea that the economy is not zero sum and companies create their own market/economic value all the time.

Please supply actual instances of the supposed bias.

Maybe me today would say you need to do some more research and thinking on how LLMs work?

If you had told me that in 2015, we would have a tool that can iteratively search the world's best and largest unstructured database and synthesize outputs in language (any natural and structured language), I would have said that is basically AGI.

This whole desire for it to 'reason' (autonomously prime its search with a few thousand token) and 'think' (search for the best information within its parameters and synthesize that with its context) is semantic and will feel irrelevant as the technology progresses and we become more used to what these things are actually doing.

I honestly struggle to imagine what AGI will be if not an ever-improving semi-structured database (parametric or otherwise) that we become increasingly good at searching.

We do one thing in our bodies with relatively binary nervous system and a fundamentally continuous endocrine system. That's clearly and unanimously consciousness. We also, however, see other animals with similar set-ups but less capabilities, so we understand it exists on a spectrum.

We separately invented a thing that gets to similar outcomes with fundamentally binary logic gates.

Our minds are drawn to comparison and classification, so we fight over how similar or different those two things are in a way that often feels unsatisfactory because in order to meaningfully compare the two, we have to reduce them in a way that feels like its underselling either/both.

Your proposal intentionally injects inefficiency and noise into the system because you don't like some political boogeyman.

Maybe this is the one evidence-driven case where you can be open minded about the value of a public employee union?

https://www.reddit.com/r/TheSilphRoad/comments/8i7byi/pokemo...

I always ask people, in the past year, how many AI-coded apps have you 1) downloaded 2) paid for?

https://matharena.ai/?view=problem&comp=aime--aime_2026

As for MMLU, is your assertion that these AI labs are not correcting for errors in these exams and then self-reporting scores less than 100%?

As implied by the video, wouldn't it then take 1 intern a week max to fix those errors and allow any AI lab to become the first to consistently 100% the MMLU? I can guarantee Moonshot, DeepSeek, or Alibaba would be all over the opportunity to do just that if it were a real problem.

This pattern of considering 90% accuracy (like the level we've seemingly we've stalled out on for the MMLU and AIME) to be 'solved' is really concerning for me.

AGI has to be 100% right 100% of the time to be AGI and we aren't being tough enough on these systems in our evaluations. We're moving on to new and impressive tasks toward some imagined AGI goal without even trying to find out if we can make true Artificial Niche Intelligence.