Mu Meson

... clumsy breaker of things

[Mu Meson @TheRealMuMeson]

“You can’t always trust AI."
🙄
You can't always trust yourself.
Memory edits itself, bias hides itself, and confidence lies.

[Mu Meson @TheRealMuMeson]

9/ The deeper question is not only where privacy ends. It is where public observation becomes automated surveillance, and where enforcement becomes extraction.

[Mu Meson @TheRealMuMeson]

1/ AI-monitored cameras raise a real boundary question. Public roads reduce privacy, but they do not erase it. A vehicle exterior is publicly observable. A vehicle interior should not become machine-readable enforcement territory.

[Mu Meson @TheRealMuMeson]

8/ The line should be clear: exterior identification data may be admissible. Interior vehicle contents and behavior should remain protected unless there is individualized legal justification.

[Mu Meson @TheRealMuMeson]

It never fails: Those who yap about AI don't understand it. It's either hype or hysteria. Also, invest in a shift key or simply stop being too lazy to use the shift function. "Aren't I special? I don't use uppercase letters!" You're a blogger with an opinion. wow. just wow.

[roon @tszzl]

the frontier labs don’t have “comms problems”. reality right now has a comms problem. what is happening is a little scary and there’s no nice words anyone could say, especially not those profiting from it, that’ll make it feel that much better

[Mu Meson @TheRealMuMeson]

Oh, @WIRED. What are you doing here? This is clickbait.
https://t.co/6rujZdU8WT

[Mu Meson @TheRealMuMeson]

Hype + Hysteria ≠ AI.
These are the public’s distorted proxies for AI.

[Mu Meson @TheRealMuMeson]

The problem with AI discourse is not merely that many people misunderstand the technology. It is that performative expertise now surrounds it: people who do not understand AI speak with certainty, monetize confusion, and mistake proximity to a new technology for competence.

[Mu Meson @TheRealMuMeson]

#AI adoption is no longer a scale advantage reserved for large firms. It's becoming a baseline condition of competitiveness. Businesses that fail to integrate AI, even modestly, will increasingly operate at a structural disadvantage.

[Mu Meson @TheRealMuMeson]

Why bother? Would you enter Earth’s atmosphere in any vessel moving at near-c speeds. The same applies to interstellar space, which is loaded with particulate matter. Call it the "disintegration barrier". A photon survives through interactions that disperse its momentum.

[Martin Bauer @martinmbauer]

We’re never 100% sure about anything, but there is nothing we're more sure about than that

[Mu Meson @TheRealMuMeson]

@NASAWebb @NASAWebb The data says the strongest peak-density return occurs around January 13, 2028, using the current assumptions. That date depends on the approximate August 15, 2024 and August 2024 reference dates. If the dates differ, the projected date shifts.

[Mu Meson @TheRealMuMeson]

@NASAWebb Independent reconstruction using the released JWST/MIRI sensitivity grids, about 72% of August-compatible S1 orbits remain hidden in both 2025 follow-ups. Highest-density future recovery sector: PA 260°-280°, separation 1.0″-1.4″. Count map below. 👍

[Mu Meson @TheRealMuMeson]

@NASAWebb Update: PA 260°-280°, separation 1.0″-1.4″ (~1.34 to 1.87 AU). Later return corridor in late 2027 to early 2028 near PA 80-100 degrees at 1.4-1.6 arcsec (~1.87−2.14 AU), eccentric, phase-evolving? If S1 is a real object. (Neither = obscured.)

[Mu Meson @TheRealMuMeson]

LLMs are a lot like Ouija boards. Aware or not, your inputs steer the outcome. You often get what you’re primed to accept, not what’s true. Prompt in, pattern out. LLMs amplify your framing and can return convincing text that fits it. That’s not validation. It’s conditioning.