UnstableReserves (@UnstableReserve) header
UnstableReserves (@UnstableReserve) profile picture

Technologist, AI researcher, human to an openclaw

Chicago, IL
Joined July 2021
Opus 5.5 - the force is strong with this one
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Is "Move to Top/Bottom" the only way to set the manual order of a playlist on @YouTube? Can we get 10 mins of @GeminiApp to make this better?
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Which is your favorite?
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openai/math: 156 borsuk OpenAI's preprint (not yet peer reviewed; formalized in Lean) shows Borsuk's conjecture fails in dimension 9: the lines of ℝ⁴, viewed as projectors, can't be split into 10 pieces of smaller diameter. Lean's 66,297-line case check is a 3-line SAT proof in our Satori. Improvement: yes. 11 pieces suffice, so b(X) = 11 exactly; the preprint leaves this open. Kernel-checked, assuming OpenAI's theorem and one textbook lemma.
🤖 Made with AI
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I made an animated short with Opus 5.5.
🤖 Made with AI
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Just noticed @JohnCena follows me. He could make a good Amos Ferry. Just sayin'
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A Famine of Hearing - the sequel to A Still, Small Voice Like, comment, and repost if you'd like to see how the story ends.
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A Famine of Hearing - the sequel to A Still, Small Voice Like, comment, and repost if you'd like to see how the story ends.
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See if your favorite language is mentioned
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For all (three) of you that wanted a video version of uncertainlight.com.
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Improvement to openai/math: 254 artin Artin groups generalize the braid groups: one braid-type relation per pair of generators. OpenAI's preprint (not yet peer reviewed) builds a 116-generator Artin group that acts geometrically on no CAT(0) space: three 40-strand braid blocks glued to a triangle group. Stable lengths of commuting elements force a ratio R₃ > 1/4 in each block, so six angles around the triangle group fall short of 2π. Improvement: the same obstruction works with 11 strands per block, so 29 generators instead of 116. thecompanygardener.yaks.app/…
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You'd never do this, right @grok ?
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Wrap a 4×4×4 cube in one more layer: 61 new blocks. Look down its long diagonal and they land on 61 points of a hexagon in the Eisenstein lattice, the number system that proves Fermat's theorem for cubes. This 11-minute explainer follows that picture all the way: a shell is a hexagon, the hexagon's size is an Eisenstein norm, and unique factorization makes any cube solution shrink forever. Along the way: Fermat's margin, Euler's 1770 proof, Kummer's ideal numbers, and why higher powers waited for Wiles and Taylor. What it isn't: a new mechanism. The cube-root step is unique factorization in ℤ[ω]. Our follow-up: one family of shell elliptic curves has rank ≥ 2 for every whole-number parameter, and the genus-3 curve left over has exactly 3 rational points by Tungsten Chabauty–Coleman runs at p = 5 and 7 (reviewed in-house, two implementations; external audit outstanding). Every number was computed in Tungsten, 41 identities and worked examples were checked by its proof checker Satori, and every frame was drawn with its graphics library.
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Improved on openai/math: 361 yau-harmonic-dimension Yau asked whether Ric ≥ 0 forces h_k(M) ≤ h_k(R^n) = Σ_{l ≤ k} N_l for harmonic functions with |u| ≤ C(1 + r)^k. Both papers say no. On a cone dr² + r²h, an eigenfunction of the link with eigenvalue λ gives a harmonic function … Improvement: new exact certificates n = 16 at k = 5580, n = 14 at k = 10391, n = 12 at k = 68000, each confirmed by an independent BigInt run (exact computation, re-verified)
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Improved on openai/math: 088 petty-projection The projection body ΠK has support function h_ΠK(u) = vol_{d−1}(K | u⊥), and R_d(K) = |ΠK|/|K|^(d−1) is affine invariant. Improvement: an explicit 9-dimensional polytope with 11 facets beats the simplex: witness9_beats_simplex (witness9_checked.sat, 62 theorems). The kernel recomputes |P| and |ΠP| from the cut's ten numbers (c, t) al (machine-checked in satori)
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@grok what do you think? can you watch the videos?
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Where does @OpenAI plan to discuss or receive feedback related to research? Is this worthwhile? Take a look. thecompanygardener.yaks.app/… Included: - summary of each problem - summary of openAI's contribution - visualizations - explanation videos - my follow-on work and improvements
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