aghilmort

11 ms·

31.
Great SaaS dead or alive read(twitter.com)
1 points by aghilmort 8mo ago|0 comments
32.
by aghilmort 8mo ago
ya, brain just noisy channel in same way we can treat LLMs; anything possible exists we are just sampling it, which distills to "mere" clock syncing L1 & L2 constraints unwind that clock compression with suitable dilation; ver
33.
by aghilmort 8mo ago
one approach that can work is to tell model to load read skill and/or call shell script that overloads default, there are variety of ways to attempt this with any harness, claude specifically has hooks some of which allow go, no go, do
34.
by aghilmort 8mo ago
curious: wdym by "getting separators right when generating multiple files in a single inference call" context: created hypertokens an even more robust hashing mechanism to create context-addressable memory (CAM), one cheat code is
35.
by aghilmort 8mo ago
we dug into those sorts of questions with hypertokens, a robust hash for lines, code, tables/rows or any in-context token tagging to give models photographic memory one mechanism we establish is that each model has a fidelity window, i
36.
by aghilmort 8mo ago
been wondering about treesitter grepping for agents how do plans compare with and without etc. evven just anecdotally what you've seen so far etc
37.
by aghilmort 8mo ago
Interesting! Been building space-time coordinate system for AI models. Notionally agree in principle w.r.t. convex hull, clocks, etc. since we invoke similar machinery albeit in tokenized models. Need read this work more deeply to grok. One
38.
by aghilmort 8mo ago
Basically, just thinking that it’s more ideal to have the tool call the micro VM versus the agent, doing it in the sense of its mandated by the tool call
39.
by aghilmort 8mo ago
oh interesting our qemu use case is local!
40.
by aghilmort 8mo ago
very interesting post. continuous tape & associative memory for LLMs exactly what motivated us to build hypertokens, https://arxiv.org/abs/2507.00002 will reference in our next paper update, thx for posting!
41.
by aghilmort 8mo ago
interesting is the idea the agent calls it or just alt to terminal bash etc tool calls hey your tool calls are all microvms, containers, isoshells, raw term, clawd/molt all credentials with weaker and weaker security demarcs?
42.
by aghilmort 8mo ago
security matters if want to demarc where agents can play. running agent inside of strong VM is usually where starts container not enough for that full isolation only sees files you want it to etc
43.
by aghilmort 8mo ago
we've considered docker, firecracker, will add smol to working roster context <> building something with QEMU * required has to support LMW+AI (linux/mac/windows + android/ios) there are scenarios in which we might
44.
by aghilmort 9mo ago
really great! adjacent well-done ASCII using Braille blocks on X this week: nolen: "unicode braille characters are 2x4 rectangles of dots that can be individually set. That's 8x the pixels you normally get in the terminal! anyway
45.
by aghilmort 9mo ago
ya, hypertokens equalize latent space in spherical harmonic sense / approximate explainer: take raw context, you inject semantic parity of some form, could be table relating paragraph content, tree, raw summary paragraph. EVENTUALLY th
46.
by aghilmort 9mo ago
yep! think dynamic amplifier / equalizer inflight token tuning of signal boost, SNR, etc. & for sure / likewise!
47.
by aghilmort 9mo ago
yeah, one way to frame is have to have structural parity & semantic parity & bridge to & from both like balanced scales. We started with structure to help others solve semantics. Your approach doing same thing from other directi
48.
by aghilmort 9mo ago
all the above! Our team steers models using info theory; think error-correcting codes for LLMs in Shannon sense. Do in-context by interleaving codewords & content, semi-secret post-transformer model, etc. Simple example. Can get model t
49.
by aghilmort 9mo ago
this is really great toss in test building skills macro linter skills Etc
50.
by aghilmort 9mo ago
particularly interesting been building something adjacent to bridge massive gap in models between source & channel coding think say same thing different ways to boost signal / suppress noise, am saying this not that using partial
51.
by aghilmort 9mo ago
interesting! been exploring any/all of assume we ship mcp server where there is free & premium version (or could be skill, plugin, etc.). can we adapt or package this with? &/or what instructions would our users need to do
52.
by aghilmort 9mo ago
interesting. email. Simple multiple sessions support to reply vs tabbing here there get threaded. clever with vpn vps if want to interact? how would that work?
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by aghilmort 10mo ago
would poke around Vopson <> Verlinde or other primal / dual / gauge correspondences for space-time / gravity especially vs. info theory etc., https://pubs.aip.org/aip/adv/article/15/4
54.
by aghilmort 10mo ago
connect screenless devices, e.g., Echo Dot extend weak wireless range in hotel screen share or network between multiple devices eg travel with two laptops and can virtual KVM only have to do the captive device on one - many hotels limit num
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by aghilmort 10mo ago
ah yes Merrill thx!
56.
by aghilmort 10mo ago
there’s decent work on computational reasoning power of transformers, SSMs, etc. some approximate snippets that come to mind are that decoder-only transformers recognize AC^0 and think in TC^0, that encoder-decoders are strictly more powe
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by aghilmort 10mo ago
interesting. like Excel Solver? or OpenSolver, Gurobi, other optimizers? or different objective?
58.
by aghilmort 1y ago
link doesn’t work
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by aghilmort 1y ago
hmm / hear you. my point wasn't that we are applying modular manifolds in the same way it was that we are working on model reliability from two extremal ends using the same principle. there are various ways to induce modular manif
60.
by aghilmort 1y ago
wait why subscription?

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