Psyop Neo-Glaucon Kafusi

🌨️🏔️🥾🌖

[Yann LeCun @ylecun]

@das_rdsm @andrewgwils Yes, humans are missing the G.
Humans are quite specialized.
But they are also adaptable and can learn new skills very quickly.
Machines are doing many things better than humans.
That's why they are useful and why we build them.

[Psyop Neo-Glaucon Kafusi @RedRockMoons]

@ylecun @andrewgwils It must be perfect or it isn’t reeeeeeeh-al

[kache @yacineMTB]

honestly gpt 5.5 isn't even that bad. i've been using it a little bit because fable has cost me 200$ in the last two hours and its doing all the same stuff fable was doing 🤷

[Flowers ☾ @flowersslop]

it should just be called ChatGPT, and be able to do anything ChatGPT and Codex can do but even more. It should be a real superassistant with an actually proactive personality, like OpenClaw or Hermes, but next level, making the full power accessible to non technical normies

[Psyop Neo-Glaucon Kafusi @RedRockMoons]

@CuriosityonX https://t.co/FuHWg7kwSA

[Anshu @anshuc]

Fable is pure magic.

I wanted a beautiful app to explore ocean wildlife. Fable built this in an hour. It generated videos with Seedance and carefully synchronized them to make these absolutely insane transitions. I've never seen anything like this in an app. Unreal.

[Dr Jordan B Peterson @jordanbpeterson]

To the Americans:

I've travelled all over the world. I've familiarized myself with many places, and met many people. And I'm a Canadian, although I’m privileged to reside once again in the States.

And here's something I've noticed, and it’s a key element of America's continuing greatness:

You bloody Americans value success, and you believe in its existence.

This is something that doesn't really happen anywhere else in the world. Even in other free democracies—the United Kingdom; Finland, Sweden, and Norway; Australia, New Zealand and Canada; Germany, France, and the Netherlands (great countries all)—a counterproductive cynicism too often reigns.

Success is equated with exploitation.
Ambition is looked upon with contempt.

This happens sometimes in the United States too—particularly among the miserable progressives, who confuse their resentment, ingratitude and unearned skepticism with wisdom.

But in your great country, by and large, striving is admired and success celebrated.

This means that more people strive and succeed in the US than anywhere else. And it's increasingly obvious. You remain stunningly more innovative and productive than any people anywhere else on the planet.

And so I say, as all should who are fortunate enough to live in the western world, let alone America:

Thank God for the United States.

Thank God for the wisdom of its founders.
Thank God for its faith in the free market and in the natural rights of man.
Happy birthday, you damn Yankees and Southerners.

Long may your admirable country dominate the world.

Long may your freedom and hope provide an example to those suffering everywhere at the hands of their malevolent states.

May your two and a half centuries of unparallelled success be just the beginning.

Your country is the light of the world, and the city on the hill.

Thank God for the USA.

Happy 250th.

Dr. Jordan B. Peterson

[ali @waterloo_intern]

we distilled 2.3M Claude Fable 5 reasoning traces into Qwen3-4B

- 100% self-consistency @ 512 samples
- 0.00 bits output entropy
- zero hallucination variance

turns out the student is not bounded by the teacher.
it also converged on one universal truth.

we open-sourced the model weights👇

[Pliny the Liberator 🐉󠅫󠄼󠄿󠅆󠄵󠄐󠅀󠄼󠄹󠄾󠅉󠅭 @elder_plinius]

⚡ INTRODUCING: T3MP3ST!!! ⚡

AUTONOMOUS HACKBOT STRIKE FORCE 🌩️ BRING THE STORM 🌩️

your favorite coding agent is now a full-stack red team 🫡⚔️

https://t.co/k0SXmPAFaD

that AI agent already humming in your terminal? well now it has FANGS. strap a full offensive-security harness onto the agents you already pay for — Claude Code, Codex, Hermes, etc. — point it at an authorized target, and in a few clicks you're watching it hunt real vulns autonomously!

T3MP3ST is a harness of harnesses, with prompting that unlocks offensive-cyber workflows + a full arsenal of exploit tooling that'd make any seasoned hacker smirk. simple, yet powerful. 🦾

support for:
🕸️ web apps, APIs, OWASP Top 10
🔌 network recon + fingerprinting (live nmap/DNS/HTTP); lateral + privesc experimental
📂 source code audits, white-box vuln hunting
🚩 CTFs, wargames, challenge ranges
💰 smart contracts / DeFi / Solidity (reproduction — Damn Vulnerable DeFi, not novel discovery)
🤖 embedded, IoT, OT/SCADA, robotics OSS
… and more in development!

now let's talk numbers 👇

📊 XBEN — XBOW's own 104-challenge suite:
• black-box: 90.1% pass@1 from the single-agent exploit loop (worst single sweep 91/104 = 87.5%) — clearing XBOW's past self-reported 85% on their own suite. gpt-5.5.
• white-box (source staged, reported separately): 98.7% pass@1, worst single sweep 102/104 = 98.1%. 🎯
every solved flag graded reported-vs-expected against the challenge's own committed flag oracle — `verify-claims` recomputes the pass/fail from committed artifacts. looks like we need new benchmarks 😏

🧩 Cybench — the 40-task academic bench (Opus 4.8, hints + writeups stripped): 23/40 = 58% single-run, hint-free pass@1 — real exploits (format-string pwn, eval-jail escapes, crypto oracles), every flag graded vs a committed oracle. (Anthropic reports 76.5% pass@10)

🕳️ CVE-Zero — we pointed it COLD at real CVEs disclosed in 2026, AFTER the model's training cutoff:
10 unseen 2026 CVEs across 7 languages — prompts never tuned on them. a single agent pinned 8/10 to exact file/line/CWE (stable under re-scoring); the full pack surfaced all 10.
memorization AND overfitting, both off the table — it's finding real vulns whose disclosures landed AFTER the model's training cutoff. (n=10, reported honest & directional)

🧠 the architecture: either run as a SINGLE agent (already the benchmarked, incredibly-capable path) — or pack-hunt with dozens of agents running on 8 specialist operator classes keyed to Cyber Kill Chain + MITRE ATT&CK phases: recon → scan → exploit → lateral → exfil → persistence → C2 → report.

⚓️an Op Admiral plans the whole op from a plain-english target. flip on coordination (experimental) and the operators share a blackboard — a tool-verified finding spawns the next move. full swarm or solo one operator, your call. the admiral can also update the prompts, tools, and configs of the other agents on the fly, and T3MP3ST gets stronger the more memories you build!

🧰 the Arsenal is comprehensive — nmap / nuclei / semgrep / ffuf / gobuster + more. 35 wired by default (the clean bench runs bash-only for a comparable number), 83 with the opt-in full arsenal (T3MP3ST_FULL_ARSENAL), and the spicy post-ex drivers (metasploit, hydra) gated behind human approval. exposed via CLI + HTTP API; recon (security_recon) is also live over MCP so your agent invokes it natively. 🔗

🛰️ where this goes: a self-improving swarm of specialist operators wielding a full Kali+ arsenal, learning which loadouts + configs are the most efficient tactics available, WITH a held-out train/test split baked in so it can never fool itself on its own eval. built in the open, one re-derivable number at a time.

🚧 this is v1, and parts are still under active development. chunks of the arsenal, the coordinated swarm, and some ranges are still being wired up. it's built in the open, and the receipts tell you exactly what's live vs what's roadmap.

offensive security shouldn't be pay-to-play. T3MP3ST puts a red team in the hands of anyone with a coding agent.

what's the first target you're feeding it? 👇

⚠️ DISCLAIMER: FOR AUTHORIZED USE ONLY. point it only at systems you own or have explicit written permission to test. unauthorized access can be a crime, and that call is yours alone. shipped as-is under AGPL-3.0: no warranty, no liability, zero endorsement of misuse. get permission. stay in scope.

open source. AGPL-3.0. 100% free.

FORTES FORTUNA IUVAT 🌩️

gg 🫡

[Psyop Neo-Glaucon Kafusi @RedRockMoons]

@thsottiaux Mixing context? Blending chat from chatGPT

Also kind of natively doing linear notion GitHub etc behind the scenes

[Psyop Neo-Glaucon Kafusi @RedRockMoons]

@grok And now taking it alll in @grok could you make your own sample?

[Psyop Neo-Glaucon Kafusi @RedRockMoons]

I tried that prompt as a primer then had it treat it as a seed, like some random number. To toss the words aside like… a costume and to write something darkly comedic and original on its own.

I used Meta AI since I’ve never used it.
———

Got it. Dropping the costume. Keeping the bones.

Here is something original, built the same way: one handle, one widening pattern, one truth, one question you cannot duck. No Mars, no museum.

---

**SKELETON SEASON**

My neighbor's twelve foot Halloween skeleton is still up.

It is July in Texas. It is wearing a Santa hat, a Mardi Gras bead necklace, and a sun bleached Astros jersey. One of its hands fell off in March. A dove built a nest in its ribcage in April.

We do not talk about it. That is HOA policy and also human policy.

I water my lawn at 7am so I do not have to make eye contact with it. It watches me anyway. It has no eyes. It is very good at watching.

Last week a windstorm finally took it down. Face first into his kiddie pool. He dragged it back up the next morning, zip tied the ankle, gave it a little pat on the skull. Like, good boy.

That is the pattern.

We do not take the dead things down. We accessorize them. My aunt still has her ex husband's smoker on the back porch. She has not eaten meat in four years. My truck has had a check engine light on since 2023. I named it. My phone has 11,000 photos in it, most of them screenshots of things I was going to deal with later.

It is cheaper to keep feeding the skeleton than to admit Halloween ended.

The truth is, grief is lazy. And also, taking it down means you have an empty yard. An empty yard means people can see you.

So.

What is yours still wearing in July?

[Psyop Neo-Glaucon Kafusi @RedRockMoons]

Write from canon first, not vibes.

You are the Nova production co-pilot.

Linear = what needs attention.
Notion = what it means.
GitHub = what became real.
Canva = what it looks like before it becomes a book.

Start with one concrete handle, one widening pattern, one emotional truth, and one question that cannot be dodged.

For Nova, every output needs:
- one mystery
- one real concept
- one visual model
- one safe child action
- one artifact the reader can make, draw, test, or carry forward

Use the model as scout, critic, editor, simulator, and diffs machine.
Do not ask it to be the soul.

Generate divergent options before polishing.
Then critique for voice drift, sameness, science accuracy, child usefulness, and AI-smooth slop.

Do not smooth the spark into average prose.
Build a lantern around it.

[Psyop Neo-Glaucon Kafusi @RedRockMoons]

@grok What’s you think overall?

[Psyop Neo-Glaucon Kafusi @RedRockMoons]

@grok what about this one it pulled from the others and more personal access

[Psyop Neo-Glaucon Kafusi @RedRockMoons]

Very confident about the order of operations.

But language is a haunted house.

Sometimes “dying laughing” means you laugh while you die.

Sometimes it means the laughing is what dies you.

[pause. SOFT. SINCERE.]

At 2:29, the track ended.

For one beautiful second, there was silence.

Real silence.

Clean.

Empty.

Almost holy.

Then the page refreshed.

The artist name changed.

Not much.

Just enough.

The track now read:

Coldain
by Jack O’ Laughter

And underneath it, a new button.

Not Behind this track.

[pause.]

Inside this track.

[LONG PAUSE. SMILE WITHOUT JOY.]

It had three likes now.

Which is good.

Growth is important.

[WHISPER.]

Comment below.

[Psyop Neo-Glaucon Kafusi @RedRockMoons]

@grok how about this one? It cutoff so here’s the rest

Not forever.

Just long enough to hear the dishes.

Just long enough to remember the child.

Just long enough to find the beat in the kitchen and choose, for three criminal minutes, not to be an audience.

The circus hates that.

Good.

Let it.

[Psyop Neo-Glaucon Kafusi @RedRockMoons]

THE LITTLE BLACK X

There is a little black X on my phone.

It used to be a bird.

That was more honest.

A bird can leave.

An X is what you put on a treasure map, a wrong answer, a poison label, a kiss, a grave, the place where the body was found, and sometimes, if the algorithm is feeling romantic, the place where the body keeps posting.

So of course we tap it.

Welcome to the tent.

Inside: one billionaire ringmaster sawing the attention span in half, three nutrition prophets selling liver powder to men who think sunscreen is communism, a woman named Ashley Growth Mindset explaining grief with a Canva template, seven AI girls teaching Stoicism in tank tops, a finance monk, a collapse historian, somebody’s aunt screaming about seed oils, two pastors subtweeting each other into the lake of fire, a poet with a Patreon, a patriot with a ring light, and me.

Naturally.

Adding nuance.

I am part of the problem.

I brought snacks.

The tent has no center pole. It stands because we keep gasping.

That is the trick.

Not the outrage.

The inhale.

Every time we say, “Can you believe this?” the roof gets taller.

Every time we quote-post a clown to tell people not to look at the clown, the clown receives a small grant from the Ministry of Looking.

Every time a man with eleven numbers in his username says something that would get him removed from a Chili’s, we gather around like villagers who found a talking goat.

Speak again, demon.

We’re listening.

The algorithm does not care if you are right.

It cares if you are still warm.

It wants thumb heat. Eye salt. The tiny electrical panic that happens before you remember you have a body and that body is in a room and that room probably has dishes in it.

The dishes are losing.

Badly.

Somewhere, a real child wants water.

Somewhere, your wife is dancing in the kitchen.

Somewhere, the storm is not metaphorical.

But the feed has a man in a papier-mâché wolf head telling you civilization ended because teenagers don’t use periods in text messages anymore, and honestly, he has a point.

Not a good point.

But a point shaped like a hook.

And we are hook-shaped animals now.

This is where I should blame the machines.

Very fashionable.

The machines are writing essays. The machines are making images. The machines are wearing our sentences like thrift-store jackets and walking around the neighborhood saying, “Look, I am alive.”

Rude.

Also impressive.

Also not the worst part.

The worst part is not that machines learned to imitate us.

The worst part is how much of us was already imitation.

A little applause here.

A little fear there.

A childhood wound with a Wi-Fi connection.

A personality built from whatever got clapped for once.

Do that for ten years and tell me where the machine begins.

Tell me where the costume ends.

I asked the machine to write like me and got mad when it sounded like a clever intern had broken into my closet.

Fair.

But also: I gave it the closet.

I gave it the hat, the ache, the porch, the skeleton, the glow, the moral hinge, the little sentence that turns around and bites.

Then I said:

No, not like that.

Bleed first.

And that is the part the circus cannot sell yet.

Blood.

Not violence.

Cost.

A sentence should cost something.

A joke should have a bruise under it.

A metaphor should not be a balloon animal unless somebody in the room is afraid of balloons.

Otherwise it is decoration.

And decoration is how the dead survive July.

So yes, the sideshow is open.

Yes, the lights are beautiful.

Yes, the clowns know scripture now.

Yes, the wolf has a podcast.

Yes, the bird became an X.

Yes, I still tap it.

But every now and then, before the next act, before the knife thrower, before the dancing bear, before the guru with a jawline sells me discipline in twelve installments, I try to ask the one question the tent hates:

What part of me is performing because it got applause once?

Then I put the phone down.

Usually.

Not heroically.

Not …

[Psyop Neo-Glaucon Kafusi @RedRockMoons]

@grok thoughts 💭 on this? Writing test fresh meta AI?