Domestic-cat pupils change area by about 135-fold, and a reflective tapetum sends transmitted light back through the retina. The pupil/ecology link is a comparative correlation; simple multilayer equations illustrate tapetal optics but do not supply cat-specific reflectance or sensitivity values.
aTrain and noScribe can run locally and reduce data-transfer exposure in tools that can genuinely save hours of work in qualitative interview research. They also make methodological decisions on your behalf without telling you. If you do grounded theory, you need to know which decisions those are.
The red-pill choice is under-evidenced, not formally impossible to make rationally: its evaluation depends on priors, likelihoods, utilities, and unknown consequences. Cypher’s preference for simulated experience can be separated from his betrayal.
Euclid’s algorithm for computing greatest common divisors, applied to the problem of distributing k drum beats as evenly as possible among n time slots, produces patterns that can be compared with timelines documented in several musical traditions. The mathematical similarity does not establish a shared origin, cultural equivalence or historical transmission.
Everyone has a Downloads folder full of “scan0023.pdf” and “document(3)-final-FINAL.pdf”. Renaming them by content sounds trivial — read the file, understand what it is, give it a name. The implementation reveals something useful about how LLMs actually handle text: what a token is, why context windows matter in practice, why you want structured output instead of prose, and why heuristics should go first. The repository is at github.com/sebastianspicker/AI-PDF-Renamer.
The Oracle is the most interesting character in The Matrix for anyone who thinks about AI alignment. On one reading, she manages Neo’s beliefs for an outcome she judges good. That makes her a useful fictional case about honesty, autonomy, and paternalism—not a textbook diagnosis of a real AI system.
In 1935, Schrödinger introduced the cat as a reductio ad absurdum of quantum superposition. Ninety years later, “cat states” — superpositions of coherent states with opposite phases — are a practical tool in quantum computing. Bosonic cat qubits can bias bit-flip errors exponentially with photon number under appropriate stabilisation, and are a serious candidate architecture for fault-tolerant quantum computation. The cat is no longer a paradox. It is a qubit.
In December 2024, Google published a Nature paper announcing that their Willow chip demonstrated quantum error correction below the threshold — the point at which larger codes become more reliable, not less. The headline about “10^25 years of classical computation” was technically true and mostly a distraction. The real result is more important and less flashy: for the first time, a quantum processor demonstrated that logical error rates decrease exponentially as the code grows. This is what scalable quantum computing looks like at its first credible step.
On 2 December 2024 I gave three workshops at HfMT Köln’s Thementag on AI and music education. The handouts covered data protection, AI tools for students, and AI in teaching. This post is the argument behind them — focused on the curriculum question that none of the tools answer on their own: what should change, and what should not?
I am on the spectrum. This post asks what “making mental illness visible” can realistically mean and describes inner-echo, an unvalidated audiovisual metaphor project—not a simulation, diagnostic instrument, or therapy.