We broke 3 published math bounds for hypercube metric dimension β(Qₙ):
• β(Q₂₄) ≤ 13 (was 14) — 14 test attempts
• β(Q₂₆) ≤ 14 (was 15) — 15 test attempts
• β(Q₂₉) ≤ 15 (was 16) — 16 test attempts
Here's how we did it with AI & sign matrices 🧵👇
I built an interactive site to visualize the deduction: pick any answer sheet (from 1.07B possibilities!) and watch the algorithm collapse it to 1 in 17 attempts live: https://t.co/1xwNgG8RQ4
Using Anthropic's Fable 5, we searched millions of sign matrices and improved the bounds.
Don't trust the AI blindly: each record is certified by a small matrix verified in seconds by 2 independent verifiers: https://t.co/VMkb4xJcbs
This is Erdős & Rényi's 1963 coin-weighing problem in disguise.
Surprise: exact values of β(Qₙ) stop at n=13! Beyond that, only upper bounds exist.
It started with a riddle: You take a 30-question true/false test, but after each attempt you only learn your total score. How many attempts guarantee 100%?
(The answer is 17, known since 1966)
I'm playing with an idea: can LLMs use Alloy's software-modeling capabilities to find real protocol bugs?
GPT-5.6 Codex + Alloy found one:
issue parent → revoke parent → delegate again → fresh child accepted
Spec → Alloy → real Go PoC. One missing check caused it.
@OpenAI
Tencent Hy3 vs GLM-5.2 on a 165-alert SASTBench queue.
I checked every model and benchmark disagreement in source.
Hy3: 14/19 real, 5 false alarms.
GLM: 13/19, 7 false alarms.
Full writeup below 👇
@TencentHunyuan@novita_labs#Hy3Novita
Full writeup: what worked, what hallucinated Chinese gibberish, and the "forgetting curve" idea that made me rethink context windows:
https://t.co/Y0qj4j5TK7
Try DeepSeek-OCR 2 yourself, my signup link: https://t.co/LbfOD6Acr1
I ran 48 pages of my most cursed thesis PDFs through DeepSeek-OCR. Total cost: less than half a cent.
But the price isn't the wild part. It's the theory underneath: that text might be a terrible way to store text.
Full breakdown, run on @novita_labs 👇
Full build guide:
https://t.co/kUXpx3YkUs
I dry-ran the whole stack on Novita's serverless endpoints before cutting the cord. Try the same open models with my signup link: https://t.co/XAgW466GCw
Your spaceship just lost contact with Earth. No ChatGPT, no PyPI, no StackOverflow. Your astronauts still need to ship code.
I built the full offline AI coding rig with @novita_labs as the launchpad: Qwen3-Coder-480B, local doc search, offline StackOverflow.
Build guide 👇