Rperry2174

Huge chance I'm underestimating how many of these there are, but where do people find all of these unsolved equations/ciphers/etc?

Is there some sort of enumerated list somewhere that we can run as a test suite and then we can make a bigger deal about the percentage of that list that we're burning down as these models improve?

Whatever AI is doing to how we find / share information aside, I do think that one under appreciated effect is on how software (and other things) get built. Lowering the barrier to entry for writing code and other tasks feels democratizing , but we may just not have had enough time to see how that hopefully has positive effects a decade out.

Its funny how fast we forget that when Google came out and arguably now many would laugh at the statement "all the good, companies like Google brought to the internet"

Honestly whether or not this was effective seems less important to me than the adoption numbers.

Text book reading in this course was 10-15% at baseline ... but this AI thing got 90% voluntary usage ungraded.

Even if its worse per-hour than a textbook, you're now teaching 6x as many students _something_ instead of teaching a small minority everything.

So really it just becomes an optimization problem at that point because most students are at least in the funnel/in the running to learn something.

The paper kind of proves this itself ... they tweaked the quize formats mid-semester and where able to iterate which you can't do on a textbook that nobody opens in the first place

yeah I'm mostly just talking about how they're framing it: "Claude Opus 4.6 is designed for longer-running, agentic work — planning complex tasks more carefully and executing them with less back-and-forth from the user"

I guess its also quite interesting that how they are framing these projects are opposite from how people currently perceive them and I guess that may be a conscious choice...

Fair I agree that was true of early codex and my perception too.. but today there are two announcements that came out and thats what im referring to.

specifically, the GPT-5.3 post explicitly leans into "interactive collaborator" langauge and steering mid execution

OpenAI post: "Much like a colleague, you can steer and interact with GPT-5.3-Codex while it’s working, without losing context."

OpenAI post: "Instead of waiting for a final output, you can interact in real time—ask questions, discuss approaches, and steer toward the solution"

Claude post: "Claude Opus 4.6 is designed for longer-running, agentic work — planning complex tasks more carefully and executing them with less back-and-forth from the user."

Whats interesting to me is that these gpt-5.3 and opus-4.6 are diverging philosophically and really in the same way that actual engineers and orgs have diverged philosophically

With Codex (5.3), the framing is an interactive collaborator: you steer it mid-execution, stay in the loop, course-correct as it works.

With Opus 4.6, the emphasis is the opposite: a more autonomous, agentic, thoughtful system that plans deeply, runs longer, and asks less of the human.

that feels like a reflection of a real split in how people think llm-based coding should work...

some want tight human-in-the-loop control and others want to delegate whole chunks of work and review the result

Interested to see if we eventually see models optimize for those two philosophies and 3rd, 4th, 5th philosophies that will emerge in the coming years.

Maybe it will be less about benchmarks and more about different ideas of what working-with-ai means

This keeps repeating in different domains: we lower the cost of producing artifacts and the real bottleneck is evaluating them.

For developers, academics, editors, etc... in any review driven system the scarcity is around good human judgement not text volume. Ai doesn't remove that constraint and arguably puts more of a spotlight on the ability to separate the shit from the quality.

Unless review itself becomes cheaper or better, this just shifts work further downstream and disguising the change as "efficiency"

Let's say you live in an apartment building and your landlord locks you out and keeps you belongings. Police say its not their problem. Courts decide that they don't aare either. So now you have no recourse or body to complain to.

In that situation saying "i resolve problems non-violently every day" stops being relevenat. The mechanisms that allow you to do so (enforcement, law, etc) have been removed as they were for those fighting for civil rights.

You may still personally choose non-violence in this case, but I'd bet you would understand/sympathize/maybe-even-join those who decided to break into their apartments by force and grab the things that are rightfully theirs.

nobody is secretly violent ... just normal peaceful channels stoped working.

Recognizing that distinction isn't justifying violence its just explaining why nonviolence provides leverage in the first place

This is a good articulation of mlkjr's theology and dicipline around nonviolence, but I think its incomplete if you read it in isolation.

His strategy worked because it existed alongside MANY other voices, IMO the most underrated of which is Malcolm X, that rejected this "gradualism" outright and refused endless delay.

They weren't organizing violence but they were instead making it credible that there is a world where those "peaceful" people do not accept complicity or "no" for an answer.

This shifted the baseline of what a "compromise" could look like (as we today see baselines shift very frequently often in a less just direction)

Seen that way, nonviolence wasn't just a moral stance, it was one side of a coin and once piece of a broader ecosystem of pressure from different directions. King's approach was powerful because there were alternatives he was NOT choosing.

You cannot have nonviolence unless violence is a credible threat from a game-theory perspective. And that contrast made his path viable without endorsing the alternatives as a model