@maxwelltani This portion of the article jumped out at me, too. Can it really be the case that Karp sincerely believed Trump wouldn't pull a Vader-in-Cloud-City? It seems like willful blindness, magical thinking, or both.
This doesn't quite make sense on at least two levels. First, "discretionary executive action" is not the same as deliberative democracy, and it depends on the whims of the executive. Second, by design, both the first amendment and the courts are countermajoritarian: the point is to be rights protective, to prevent executive discretion from stamping out the fair deliberation that is only possible when minority voices are protected.
Funny that power point was one of your examples, since that's a tech that also funnels and narrows thinking in predictable ways. It's such a part of the business architecture we don't even think about it anymore, but it definitely encourages its own cognitive style, to use Edward Tufte's term. LLM's are exponentially more dynamic but risk having the same effect.
A fundamental problem with extending Codex/Cowork/Code to all knowledge work is that they remain very "software-brained" where the end result (the software) is what is important & that code serves as a source of truth.
For a lot of other knowledge work, the process is at least as important as the outcome. This includes researching what is known, an exploration of alternatives, failed efforts, prototype branches, experiments, etc. All of those things are valuable, so you cannot use the PowerPoint at the end the way you can use a codebase, nor is progress on a to-do list sufficient context post compaction. You work in learning loops, refining your perspectives as you go.
In some ways, this makes long-running models like Fable hard to use for deep knowledge work, since they are designed to deliver product to you in the end. You can prompt your way around this problem, but everything about the Codex and Code harnesses want you to be a software developer and you have to fight them. There is a real disconnect between how a manager or analyst thinks about problems and how the agentic software tools approach solving them. Addressing this is critical to breaking out of the coding niche for these tools.
The interaction between AI & past scholarly work is going to get weird. Here I gave GPT-5.5 Pro a copy of my first published paper from grad school & asked it to find errors and update it.
It found new data, analyzed it, created reproducible files, extended the key argument...
@hlntnr Substitutability is always an argument and an analytical problem in human rights work. It's difficult to separate the moral arguments from the business interests.
@GaryMarcus A little too glib, even for you! SpaceX may be grossly overvalued. But they've built reusable rockets and have government contracts, so they build actual things that have value. How much value now v. in the future? Valid question. Is that the same as an NFT?