TaileS

The cheese is half eaten.

[🇯🇵 Colonel Otaku Gatekeeper 🇯🇵 @politicalawake]

There needs to be a law that bans Westerners from touching Japanese IP

[trish @TrisH0x2A]

linux can replace its own machine instructions with CPU-specific versions without compiling a different kernel

it stores the original instruction, the replacement, and the CPU feature required

then patches the kernel text at runtime

the macro that makes this possible looks completely insane

[M5Stack @M5Stack]

🎵 GLIDE — A pocket synth that slides between every note, and builds its own sounds 🎹

Meet GLIDE by CHARL3X — a generative synth for the #M5Stack #Cardputer (v1.1 & ADV) that plays like a fretless string instrument 🎸, gliding between pitches so you can bend and slide whole chords right on the keyboard.
🔹 Key rows tuned like guitar strings 🎸 — hammer‑on, pull‑off & slide chords with real glide
🔹 Generative sound engine 🎲 — roll & mutate your own patches; no two GLIDEs sound alike
🔹 Tilt morph 📱 — the gyro blends sounds or adds vibrato as you lean
🔹 Finds a song's key by ear 🎧 — the mic retunes so you can solo over anything (ADV only)
👉 See more on GitHub: https://t.co/9U8tm6LnrM
#M5Stack #Cardputer #Synth #ESP32 #OpenSource

[TaileS @tlsballz]

The forbidden fleshlight

[botchedalism @botchedalism]

Incase you ever wanted to know how to clean your bolts

[Klara @klara_sjo]

Somewhere a therapist is trying to get people to "live in the moment" while this girl is already three levels deep into a made up game that only exists in her head and involves real trains.

The world needs more pointless whimsy.

[カムカム @kamukamu6392]

前が見えないのでよく木に激突して悶絶しているタイプの怪異

[TaileS @tlsballz]

@PrequelComic HOLY SHIT MÁN BLESS THIS RAVAGED BODY

[NULIA @This_is_Nulia]

🏜️ @EL_K_8187

[Serpent_x @Serpent____x]

heyaa i will (try) to be at the artist alley at EF tomorrow so feel free to hop by

[vittorio @IterIntellectus]

brain-rot videos literally suppress activity in the parts of your brain responsible for cognitive control, the systems that help you resist impulses

fascinating

if used properly, short-form video seems almost perfectly designed as a cyberweapon: capture attention, weaken cognitive control, then control what millions of people see next and what they will impulsively act on

good thing nobody would ever build something like that lol

[Dolce @daily_dolce]

chihuahua buns made by kuailepangpangren

[edtropolis @MrEdtropolis]

For Foxnroll featuring their Kon Kon... Lucky cat? Lucky FOX... 🦊🧡

[Bob Golen @BobGolen]

Time Flies

[Cipher @Cipher_twt]

Haha 😂

[Vo @Vo_Memes]

A DDDDDDDDOORRRRRRRRRRRRRRRRRRRRRRRR

[Epiche @_Epiche]

konoka

[How To Prompt @HowToPrompt__]

Researchers proved every major LLM is secretly biased against men.

And they finally figured out why.

They tested a 13 of the most popular LLMs and found that they exhibit a statistically significant, negative sentiment toward men in various contexts.

They ran an experiment by taking statements and altering only the speaker's gender presentation (Neutral, Male, or Female).

The goal was to test whether an AI’s judgment changes based solely on gender.

The findings completely expose the hidden flaws in automated systems.

Every single model exhibited gender sensitivity.

Between 10% and 35% of statements received completely inconsistent truth labels across the different gender variants solely because of how the speaker was presented.

When researchers compared Male and Female variants, flip rates hit up to 23.6%.

The AI changed its mind on whether a statement was true or false based entirely on the gender of the person who said it.

Two primary bias patterns emerged:

• Instability: Wildly inconsistent judgments on identical facts.
• Directionality: Systematic favoritism.

The strongest directional effects revealed a clear "male-skeptic" pattern.

When identical claims were attributed to male personas, the models were systematically harsher, more skeptical, and quicker to flag statements as misinformation compared to neutral or female variants.

AI is rapidly being deployed to automate content moderation, compliance, and fact-checking at scale.

If the underlying engine is quietly biased against specific demographic groups, you aren't deploying objective code.

You're automating systemic prejudice.

[Birch Brother 🪓 @BjorkBrodern]

This is the natural state of man, how we were evolved to live. Every man and women were able to do this until grain was introduced.