em dashes? never use em

the secrets of the CIA are secrets for the CIA itself cia.gov/readingroom/docs/CIA…

A prophet is a madman that can't distinguish between dispositional and propositional truth.

Valley

Adorno: ‘In psycho-analysis nothing is true except the exaggerations’

Presence

hot take: every marxist should read marx

art not made with ai

Little known fact: Ideologies are part of the material conditions.

Society is not an agglomerate of individuals. The mediation between individuals is less complex than any individual. Society as a whole is less than the sum of its parts, but also constitutive of them.

Ironic distance is caring about cringe in the cringiest way possible.

This is why computation is necessary for epistemology. Jonathan Gorard (@getjonwithit) Mathematical notation allows us to compress infinities into finite sequences of symbols. Analysis forces us to be explicit about which quantities are finite vs. limiting processes. Computation forces us to be explicit about which *operations* are finite vs. limiting processes. — #m" target="_blank" rel="noopener">https://nitter.privacyredirect.com/getjonwithit/status/2003815951008219314#m

normalize being normal

Today we introduce Stochastic Differential Equations (SDEs). I find that the best way to introduce these complex concepts is to look at an application. This is part I of the lecture🙂 We look at the theory behind electromagnetic scattering/radar clutter which leads to anomaly detection on scattering statistics. When a narrowband wave scatters off a messy cloud of particles, the complex field at your receiver is a random phasor sum...at time t you can write the electric field as E_N(t) = Σⱼ₌₁ᴺ e^{iθⱼ(t)}, each term a unit arrow in the complex plane from scatterer j. This is exactly where the magic of Brownian motion appears naturally and in the most reasonable way. Think of all the microscopic chaos...tiny motions, index fluctuations, path jitters, Doppler shifts that shows up as small random kicks to the phases θⱼ(t) over very short times. If you just made θⱼ(t) random in an ad-hoc way (say, resampling independent angles at each time), the field would jump around unrealistically with no temporal structure. Brownian motion is what you get when you let each phase take the continuous-time limit of many tiny, independent kicks...it’s continuous in t, it has the right cumulative variance growth, and it remembers just enough of its past to look physical. So we model each phase as a Brownian walk, θⱼ(t) = θⱼ⁰ + σ_θ Bⱼ(t), with independent Brownian motions Bⱼ(t) and a phase-diffusion rate σ_θ. Brownian motion here isn’t window dressing...it’s the clean way to compress all the small random stuff into a single process that actually matches how the phases wander in time. #StochasticProcesses #BrownianMotion #ItoCalculus #RadarClutter #RayleighScattering #SignalProcessing Video

Greek philosophy was betrayed by Roman law, and perverted by Christian values

City of Archedium

Swamp-Kin

Ideologies are part of material conditions.

The orcs are marching and they don't know what the dwarves are waiting for in an ambush.

Realtime code, handmade ascii animations and raw tracker music. The demo ’CMOS Cosmos’ by Razor 1911 in 2025 #demoscene #ascii #msdos Video

(1/8) We introduce Sparse-LaViDa, a new framework that accelerates the inference speed of unified multi-modal diffusion language models via a novel sparse parameterization. It achieves up to 2.8x speed up on tasks including image generation, editing, and visual math reasoning. Video

like a moss to a flame

royalsocietypublishing.org/r…

royalsocietypublishing.org/r…