Acun Kaya

What are you actually thinking right now? Not the version you post. The real one. No likes. No followers. Just thoughts and conversations. → LOT (Language of Thoughts) apple.co/4rF8ix8

@joshscripts @Apple I was surprised to learn that there is no Apple Store in Africa. How’s Nigerian tech hubs doing I heard Lagos is a rising African Silicon Valley

So @Apple has zero official retail stores on the entire African continent. Nigeria is one of the fastest-growing tech hubs, with a massive population of creators, developers, and youth buying into the ecosystem. Yet, we’re completely left out of direct corporate backing—relying entirely on third-party resellers and inflated import prices. Why is Apple still treating the entire African continent like an afterthought when it comes to first-party retail infrastructure? The demand is literally right here.

“Live simply, love generously, care deeply, speak kindly, leave the rest to God." -Ronald Reagan

Let’s be honest: learning how to program is becoming less valuable than learning how to design. Code is increasingly automated. Taste, visual judgment, and the ability to make something people actually want are not. Take a few fine art classes.

Now is not a good time ;(

Meet Hiroki (@tomiyasu16). A broccoli farmer running his farm with GPT-5.6.

@CodeByNZ Yes... I have learned how to code ever since I was 9. But I am incapable of finishing many projects alone that I've worked on.

Be honest, can you CODE without AI...?

¿Sabes cómo los griegos podían dedicarse a la filosofía porque los esclavos hacían el trabajo por ellos? Ahora que los modelos de inteligencia artificial hacen ese trabajo por nos, resulta que tenemos menos tiempo para filosofar. Hay algo en el sistema que no cuadra

@bielarusajed 😆

Fixed it

@latakia6221 @OpenAI Thx

@AcunLK @OpenAI fixed it for you

GPT-5.6 Sol, along with Terra and Luna, will launch publicly this Thursday. We’re expanding preview access globally now.

@OpenAI @grok delete yourself from this image

@hrub1_hrubik @Lost_phase25 @vivoplt False. Nowadays math research integrates computational tools extensively, because of calculators we get to have those new discoveries and theories. Human brain has a limit

@Lost_phase25 @vivoplt The thing is mathematicians don’t use calculator :D

Who's getting fired first? 1. A developer who relies heavily on AI 2. A developer who doesn't use AI

I heard about something called J-space earlier today, so I went and read into it. So basically, LLMs probably aren't doing pure "next-token prediction" (autocompleting) in the flat way people describe it. Anthropic's new interpretability paper shows Claude has developed a small internal workspace with a handful of neural patterns, which they call the J-space, where certain concepts get held, reported on, and reasoned with before generating a response, somewhat similar to how our own neural activity works before we speak. This wasn't designed into the model. It was discovered when researchers looked into how Claude actually generates its answers. Most of what Claude does still runs on autopilot and never touches the J-space. It's only the harder tasks, such as requiring multitasking or complicated reasoning, that seemed to pull information from this shared space first. Thus, "It's just autocomplete" isn't wrong exactly. Some of what the model does really is close to that. But some of it looks like something else: information written once into a shared space, then read by many different parts of the network at once. None of that means Claude is conscious the way we humans are. Anthropic is careful about this. What they found speaks to what philosophers call "access consciousness," the ability to report a thought, reason with it, direct it on request, as opposed to "phenomenal consciousness," which is whether anything is being subjectively experienced at all. And that second question is exactly where David Chalmers' hard problem still lies; We know a ridiculous amount about our own neurons, how they fire, how they wire up, how different regions of the brain hand information to each other. We can point to the actual circuits behind vision, memory, language. And we still can't explain why and how any of that produces a first-person experience instead of just information moving around in the dark. So finding a workspace-like structure in Claude doesn't prove anything about experience, one way or the other. But it does make me wonder if we've been asking the wrong question the whole time. "It's just next-token prediction" is about as complete an explanation as "it's just neurons firing." Both are technically true, and neither tells you why there's something it's like to be the thing doing it, if there's anything at all. We're getting better at how intelligence works mechanically. Whether that produces experience is a different question, and getting better at the mechanics might never answer it. So how the heck do we know anyone else has an inner life to begin with? Not just Claude, other people. We infer it from behavior, from what they report, and from the fact that they're built roughly like we are. That question is hundreds of years old, and this research doesn't answer it.

As a high schooler, I can tell you exactly what went wrong, the system was never bottlenecked by access to information, it was bottlenecked by what gets tested. Standardized exams and AP classes reward memorization, so an LLM just becomes a faster way to memorize and finish tasks, not a reason to actually learn how to apply anything.

It’s shocking to me that LLMs didn’t create an educational renaissance. Shouldn’t I be able to learn a language in a month? What did we get wrong?

even Sam Altman is confused by how education hasn't significantly changed at all since ChatGPT came out: "if we continue to teach students as if we were in a pre-AGI world, it's gonna lead to an atrophy of critical thinking."