Nano-Blog : September 13, 2026
Nano-Blog for the week of September 13, 2026.
§ September 16, 2026 ![[QR Code]](IM/qr.png)
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Gibson Musical Instruments paid to have me talk to Doug Engelbart for an afternoon back in the mid-2000s. Dude was pretty old, but still sharp. He recounted arguments he and Seymour Papert had with Minsky and Pinker over the nature of consciousness and the mind. And perhaps more importantly how to use computers as "bicycles for the mind."
Engelbart landed squarely in the Don Norman, William Ross Ashby, Stafford Beer, Licklider camp. Humans will internalize the problem domain and apply tools to the models they create in order to manipulate the model or solve for a particular root (forgive the math analogy, it's late.) Minsky, et al thought we would (like LLMs today) use natural language to query and command digital systems.
I'm much more of an Intelligence Amplification (IA) fan than an Artificial Intelligence (AI) fan. Here's a reference: Intelligence Amplification [Wikipedia].
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Thinking Machine Labs published an open-weight model. This seems like a bit of a big deal to me and I sort of think this was part of their deal all along. I see guile everywhere, so I would love to think Murati slipped out the side door at OpenAI with a story about interactive AI (which OpenAI might not have been horribly concerned about.) But then when the time was right they published Inkling, their open-weight model. (The Wikipedia also has a page on the Inkling Large Language Model.)
At 600GB - 2TB, Inkling is a bit large for me to put on any of the machines I happen to have, but it's interesting to see a company in the states jump into this product (project?) space. I had always assumed Anthropic and OpenAI didn't release their model weights because a) they believed that's where their "unfair advantage" lie and b) lawyers could use it to prove they violated copyright when they trained their models.
It's interesting to note the Chinese seem to have universally adopted open-weight models, presumably because a) they were playing catch-up for a bit and wanted to seed their entire value chain with useful tools and b) there are places in the world that care more about copyright than china.
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Speaking of AI... I like to check in with Femto AI every now and again. I haven't heard anything ground-breaking from them for a while, but I love the promise: same AI goodness, less power consumption. Either makes your data-center less of a target for the torches and pitch-forks crowd or lets you run inference on mobile devices. Or both.
And they have silicon. I guess I'm a latent chip fetishist.
But I don't see Kwabena Boahen on their board any more, which is disappointing. (Dr. Boahen also has a profile page on Stanford's web site.) He's the reason I was interested in Femto to begin with.
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Assuming we know what we're talking about when we use words like "consciousness" and "awareness" (much less "sapience" and "sentience"), can we have a discussion about LLM consciousness without veering into the realm of science fiction? I mean, I'm a science fiction fan, so it doesn't take much to point me in that direction.
But... I was having a conversation with a dude who said he was sure LLMs were conscious. On the face of it, it's a little absurd. LLMs are statistical models which guess the best next word in a sequence. Like Markov Chains, they're word guessing models. But my comment to the guy was "The only way LLMs are conscious is if consciousness is embedded in the structure of language."
And then I stopped and thought about what I said. I meant it to be dismissive of the idea of LLM consciousness. I still don't think LLMs are conscious, but I think a type of awareness is imprinted on infants via language. Though I claim no special familiarity with case studies of feral children, a common theme arises that without early exposure to human language, "something" doesn't develop. I would call it an "awareness" rather than "consciousness," but there are few who wish to join me as I carve semantics so finely.
So my take on it is language modifies existing neuronal circuitry to create a perception of reality that predisposes one towards behaviours which are interpreted internally as consciousness. Like a virus that depends on the existing cellular infrastructure to (among other things) propagate itself, language makes use of what's already there to do things (like filter the phenomenal world, revealing a world which reinforces the ego dream) and then propagates itself via the next generation.
Language, it seems, truly is a virus.
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Apple TV released a trailer for their upcoming production of Gibson's Neuromancer. It looks very pretty. I went back to re-read the story and was happy to revisit the sprawl. But what struck me most was how Burroughsesque it was. After a little bit of digging I discovered that wasn't accidental. In an interview with Gibson by Larry McCaffery he (Gibson) mentions Burroughs and Ballard as explicit influences.
I first read the sprawl trilogy before reading Burroughs or Ballard. Now that I'm revisiting Neuromancer, it's more obvious how much he explicitly owes (stylistically) to the past masters.