you people want to know why the list is dead:
you said crickets
i said: ok here's a way to help.
then someone had the cheek to insult a very real human (me):
"stream of concousness like dude what's reading man"
............
i said: well you guys wanted something to do here's context. a real
problem, any ideas for how to fix it? and since your so bored: lets make a
email company that doesn't suck.
ok
if that's "stream of consoueness" and all you've been (I guess) wanting to
do is wrist and hang ringing about high level...stream of couneness,
philosphical bs and the bok at the idea of a real aplicable way to help a
real person get passed a trillion dollar market cap company: bluntly,
fucking him out of a email adress or mor acurtle all the stuff it's
attached to. and then go: oh that's just a stream maaaaaaaan.

ok

really?
thanks
by
I don't need or like to be insulted like that.  what did I do to you? ok
by


On Thu, Jul 9, 2026 at 10:00 AM <[email protected]> wrote:

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>    1. Re: crickets (Steve Smith)
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>
>
> ---------- Forwarded message ----------
> From: Steve Smith <[email protected]>
> To: [email protected]
> Cc:
> Bcc:
> Date: Wed, 8 Jul 2026 17:46:17 -0600
> Subject: Re: [FRIAM] crickets
> You are more up to date and grounded in this than I am, so I appreciate
> the update and share the suspicion or question of how something grounded
> in spatial sensorimotor feedback can evolve or exapt into a more general
> intelligence, but it doesn't seem entirely out of range... just a bit of
> an as-yet-detailed details missing.
>
> It does seem like a plausible story for sensorimotor grounding,
> compositional object modeling, and local model voting but the open task
> is to show how that grows into valenced allostasis, temporal-causal
> depth, cross-domain abstraction, and self-regulating attention.
>
> My original throwdown mostly only was intended to reference the
> precedent for a mode of local-to-global phase transition.   This
> abstraction (l-g-p-t) is a nice articulation of the general abstraction
> which I tripped over trying to formulate this response.  That alone
> feels worth the cost of entry into this discussion.
>
> Glad to see another FriAM convo which pushes me in (yet) new ways I
> already found interesting...
>
>
> On 7/8/26 8:15 am, glen wrote:
> > I was introduced to Monty
> > <https://github.com/thousandbrainsproject/tbp.monty> something like
> > last year or the year before maybe. It was a presentation and I've
> > forgotten who invited them to talk. It was intriguing as an
> > alternative to deep learning world modelers.
> >
> > But I was always a bit leery of the CMP in the sense that it's
> > grounded in *space*. While it seems obvious that *animals* (including
> > robots with onboard computers, but not robots tethered to their
> > computers) are grounded in 3D space (+ time), it's not at all obvious
> > that things like interoception is so grounded. So, given others may
> > know more about Monty or the whole program of 1kbrains, can we
> > formulate CMP hypotheses based on something akin to "poses", but in
> > other homeostaic/allostatic "spaces"?
> >
> > To be clear, it seems to me that such "spaces" can be inferred by the
> > deep learning modelers like VLA or JEPA. But Monty seems a bit
> > top-down ... like it's imposing how *we* work onto the artificial
> > organisms we might one day build. (That's not pejorative ... just
> > evidence of a slightly different purpose.)
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