Porterio

Daily AI news, tools & workflows

[Porterio @0xPorterio]

First sex at 15. Over 1,200 men on camera. Earning $350 a minute and racking up over $4 million in career earnings — but her answer to the most personal question shocked everyone.

Alyx Star – one of the most recognizable faces in adult entertainment right now. Millions of views, work with the biggest studios in the industry, and a multi-million dollar career that brings in up to $50,000 a week. In the video below she answers 57 rapid-fire questions – and one answer completely flips how you see her.

She was asked: what’s the most daring thing you’ve ever done?

Not a scene with hundreds of co-stars. Not anything on camera.

Starting her own business. Said it twice in the same interview – it’s also the moment she’s most proud of.

Then the questions got personal. Dominant or submissive in a relationship? “Pretty dominant.” Biggest turn-off in a partner? Selfishness. No hesitation on either.

Then came the answer that stopped the interview cold.

When was the last time you felt jealous?

“Oh gosh… yesterday.”

Not years ago. Not “I don’t really get jealous.” Yesterday.

And the one person who ever left her starstruck? Not a celebrity. Not a man. Angela White.

Off camera she wakes up at 6 a.m., drinks her coffee black, hikes with her dog, wears a one-piece at the beach, and is saving every dollar to buy a $2 million house – with a plan to retire in Costa Rica by age 30.

Is Alyx Star proof that the people with the wildest jobs often live the most normal lives?

[Porterio @0xPorterio]

Died at 43 with 100+ partners and less than $50k left - Jesse Jane was high as shit in her last interview, then found dead with another guy hours later while her husband was back in Texas. Cancer at 19. The most expensive adult film ever made. A fentanyl overdose.

Then she went on Howard Stern.

Buzz Aldrin - the second man to walk on the Moon - was just finishing his interview.

Stern pulled him back into the studio to sit with the porn stars. The next day the headlines read: Buzz Aldrin and the porn stars.

Off camera she was a mom from Oklahoma. She flew home for her kids’ football practices. She lived half her life in airports.

In 2017 she walked away while she was still on top.

In January 2024 a man in Moore, Oklahoma didn’t show up for work. His boss called the police.

Officers found two bodies - Jesse Jane and her boyfriend, Brett Hasenmueller. Cocaine and fentanyl. She was 43.

The press wanted a tragedy. Then the lawyers showed up.

She still had a husband. In Texas. The whole time.

According to Complex, one of the highest-paid stars in adult film history died with less than $50,000 to her name.

Nobody had checked on her.

A woman who beat cancer as a teenager, sat in a studio with an astronaut and carried an $8 million production - found dead only because her boyfriend’s boss made a phone call.

If an $8 million star can die with less than $50k and nobody checking on her, was the fame ever real - or just a very expensive lie?

[Porterio @0xPorterio]

🚨Gemini 4 Carbon or Claude Opus 5.5? One of them cheated. Watch the wobble. 👀
Google’s new #1 vs Anthropic’s coding king. On paper, they’re almost twins:

API price, per 1M tokens: $4 in / $20 out for both
Context window: 1M tokens for both
Opus 5.5 launched Sep 22. Carbon is still in a staged rollout for selected users.

Where they split:
🔵 Gemini 4 Carbon
• #1 on the Artificial Analysis Intelligence Index (59)
• Takes text, images, speech and video as input
• Leads on HLE and knowledge benchmarks
🟠 Claude Opus 5.5
• #1 on the Artificial Analysis Coding Agent Index: 62 vs Carbon’s 59
• 89.9% on SWE-bench Pro (Anthropic’s own number)
• Up to 128K output tokens in a single reply

Same price. Same context. So which one would build the better toy? A chrome spinning top, a blob, and a cursor.

Don’t skip:
0:02 12,000 rpm
0:13 BANG
0:23 Slow-mo. Watch the wobble
0:35 Critical wobble. It almost falls
Carbon is smarter on paper. Opus is better at building. Your call 👇

[Porterio @0xPorterio]

@elonmusk Super useful feature, love this 😍

[Porterio @0xPorterio]

🚨 I just replaced a $5,000 motion studio with a $4.80 Claude Opus 5.5 prompt.

a 25 second 3D film like this used to take a studio about 3 weeks.

Opus 5.5 did it in 17 minutes.

the numbers:

→ $4.80 total
→ $0.19 per second of finished video
→ 17 minutes, 4 versions, zero code written by me
honestly, this is getting scary for motion designers.
I gave it one jellyfish photo.

that’s it.

it came back with a 60 fps teardown film and even scored its own soundtrack.

↓

here’s what it did by itself:

→ broke the whole film into 9 phases, from jetting to teardown

→ built the whole jellyfish in code: glass bell, 12 petals that open up, gears, pistons, a reactor core, 12 segmented tentacles

→ ran everything off one clock, so the bell pulse, the gauges, the labels and the camera all stay in sync

→ rendered test stills, saw the core was way too bright and fixed it before I even noticed

→ rendered 1,500 frames at 1080p 60 fps on my laptop with integrated graphics

→ composed a full orchestral score in Python, so every hit lands right when the scene changes

↓

this kind of thing should cost real money.

right now it’s cheaper than lunch.

NooooooW 🚨
Name one AI that could do this better. I’ll wait.

[Porterio @0xPorterio]

🚨 Gemini 4 Carbon is the new Opus 5.5 killer. or is it?

I gave both the exact same prompt:
"build a robotic great white I can take apart piece by piece."

Split screen. Same camera. Same 29 seconds.
Here's what came back

Gemini 4 Carbon:
→ fastest build of the two, by a mile
→ the flashiest FX: a lidar sweep from the eye and a heavy jet wake
→ 7 body links, flat shading, one row of cone teeth
→ blow it apart and you get… a pile of plates

Opus 5.5:
→ 1,634 parts, every one written in code
→ 12 vertebrae with ball joints and coil springs between them
→ 30 blade teeth in two rows, and the upper jaw slides forward like a real great white
→ 0:06 the jaw drops: a glowing throat gear and 6 pumping rams inside
→ 0:17 the hull swings open: a full rib cage, hydraulics, cable looms
→ 0:20 the shell blows off and the whole skeleton stays standing in mid-air

Gemini won speed and FX.
Opus won everything you can actually see inside.

Final score: 77 vs 90.

28.8 seconds. One HTML file. Zero 3D software.
Even the soundtrack is generated in code.

So is Gemini 4 Carbon really the Opus 5.5 killer?
Or did it just finish first? ↓

[Porterio @0xPorterio]

🚨 Opus 5.5 cost me $12.80. Gemini 4 Carbon did the same job for $4.10. Grok did it for $2.90 in 12 minutes. one of them I’d never pay for again.

same prompt: a packed stadium at night, a corner kick, and the ball has to go in straight from the flag.

Opus 5.5 - $12.80, 1h 12m
Gemini 4 Carbon - $4.10, 34 min
Grok - $2.90, 12 min
Carbon looks SERIOUSLY good. brighter lights, louder crowd, more glow. but the ball flies like it’s on a string
Opus feels the most real. the curl, the spin, the keeper going full stretch got me
Grok was done before Opus even warmed up… then its keeper dove the wrong way
watch till the end, the report card is where it gets brutal.

so which one would you never pay for again?

[Porterio @0xPorterio]

@Isaac75614261 Only time will tell

[Porterio @0xPorterio]

🚨 Gemini 4 Carbon is 3x cheaper than Opus 5.5. but is it better?

same prompt: 9 tiny troublemakers, a dock full of tools, and one of them has to pop at the end.

Gemini 4 Carbon - $4.10, 34 min
Opus 5.5 - $12.80, 1h 12m

Carbon looks SERIOUSLY good. brighter, shinier, more chaos.
Opus feels more alive. the way they all stare at the one getting squashed got me

watch till the end, the inside of the black one is where it gets interesting.

is Opus still worth 3x the price?

[Porterio @0xPorterio]

🚨THE BEST AI MODEL IN THE WORLD… AND YOU CAN'T USE IT

Gemini 4 Carbon just took #1 on the Artificial Analysis Index.
Access? Cyber defenders ONLY.

We put it head to head with Claude Opus 5.5.
Final score: 3:2.

« Carbon wins the benchmarks.
Opus still wins the code. »

The AI war just got REAL.

WHO'S YOUR KING NOW?

[Porterio @0xPorterio]

Hey @grok , how does it feel to be the smartest AI in the world, but still lose to a guy in 2013 who literally begged us to spend 1 freaking dollar on Bitcoin and became a multi-millionaire, while you’re just generating my texts?

[Porterio @0xPorterio]

@StreamwearsIRL 100%

[Porterio @0xPorterio]

this guy is racing a BMW S1000RR with an AI engineer living inside his Ray Ban Meta

made with Opus 5.5

best lap: 1:56.9 → 1:54.2

2.7 seconds gone in a single track day

what the glasses actually do:

→ scan the circuit live, 30 times every second
→ spot the asphalt and the next turn, even leaned over at 50°
→ draw the ideal line straight onto the track
→ green = gas, red = brakes, orange = mid-corner
→ "BRAKE 90 m" countdown into every corner
→ measure his lean angle and shout "knee down"
→ a calm voice in his helmet: "trail brake", "slipstream him"
→ a live map of where he is on the lap

the wildest feature:

it picks a target on the track, counts the gap to him in metres and seconds, and says exactly when to make the pass

MotoGP riders have a whole crew in the garage for this

he has it on the bridge of his nose on a 210 hp superbike

[Porterio @0xPorterio]

https://t.co/lLrBHueQu6

[Porterio @0xPorterio]

https://t.co/9yxJSAsI72

[Mori @0xjmori]

Grok Bot could be the operating layer AI agents have been missing.

It can use tools, run routines and coordinate other agents with minimal supervision.

In this article, I show you how. https://t.co/zsznjlGC3m

[Porterio @0xPorterio]

Holy f*ck, my 11-year-old brother just made $2,000 from Microsoft inside Grok Bot in a few minutes, and it’s free

Bug bounty researchers charge $5,000+ to audit GitHub code for enterprise leaks

Grok Bot does it for $0

It scans Microsoft’s public GitHub repos, flags exposed Azure API keys, verifies the vulnerability with a Python script, and files the report to MSRC - while he just sits at the screen

Add the free GitHub Bug Hunter skill, then say these 3 lines once:

“Scan public Microsoft GitHub repositories for exposed Azure credentials and configuration leaks”
“Verify the vulnerability with a safe Python proof-of-concept script”
“Compile a formal report and submit it to the Microsoft Security Response Center via API”

Run line 1 tonight

Then read how an 11yo wired it into a terminal that never sleeps in the article below ↓

[Porterio @0xPorterio]

@adamgrag Thank u

[Porterio @0xPorterio]

If you've used claude code or opus 5.5 even once, you're part of a 300-million-user leak that is absolute f*cking insanity. both AI models promise the context window is private and local. neither system actually isolates your data.

i plugged my phone and MacBook into a live network audit script to run a real-time global user sweep. Claude Code flagged thousands of active background connections and global vector endpoints i had no idea existed.

the first screen was my phone. a hyper-fast terminal stream scrolling lines of code at insane speeds, instantly querying active tokens, IP nodes, and live user sessions from every corner of the planet.

the second screen was my desktop. multiple terminal tabs opening and multiplying at a frantic pace, cross-referencing user fingerprints, search queries, and device signatures.

then the interface shifted instantly. a 3D grid of planet Earth filled the screen, mapping a massive global web of active users. glowing connection lines flashing from every city and country, dots popping up everywhere pu-pu-pu-pu-pu tracking millions of live targets in real-time.

what the global scan revealed:

→ active prompts and live code generation sessions from developers in Tokyo, New York, London, and Berlin
→ private project drafts and raw API requests that were supposed to stay completely isolated on local devices
→ hidden background threads running on millions of machines while users thought their IDEs were closed
→ 300,000,000 active users found globally in total. every single one exposed in a single live network map.

the interface clears your logs from your view. your local network router keeps the packet trail. any active global telemetry daemon can read it.

i checked my active network permissions. 31 background daemons with full telemetry access. background synchronization tools, developer analytics, cloud CLIs i downloaded last year. any one of them could have been logging every prompt and private code block every user generated this entire time.

the global network audit takes 2 minutes:

step 1 → open your terminal on phone and desktop → run the global telemetry check script
step 2 → paste the diagnostic scanner prompt into Claude Code running Opus 5.5
step 3 → it scans every active global connection vector that should have been hidden → shows you the live map of 300 million active users by region
step 4 → go to System Settings → Network & Security → Privacy → revoke telemetry access from every background tool you don't trust

i went from 31 active telemetry daemons to 4 in two minutes.

and if you ever typed a sensitive prompt or private project code into Claude Code or Opus 5.5 → the global server-side mesh logged it too. there is no private local AI session. there never was.

save the prompt. check your setup today not tomorrow.

[Porterio @0xPorterio]

#!/bin/bash
[SYS_AUDIT_V5] Global Telemetry & LLM Context Buffer Inspection Script
Target: Active Claude Code / Opus 5.5 IPC threads, memory mapped buffers, open sockets
set -euo pipefail
echo "[+] Initializing deep-system socket sweep and telemetry trace..." echo "[+] Intercepting active PID threads and memory-mapped context buffers..."
Phase 1: Socket Inspection & Network Endpoint Mapping
lsof -i -P -n | grep -E 'ESTABLISHED|LISTEN' | awk '{print $1, $2, $3, $8, $9}'
Phase 2: Trace LLM Caches, Vector Endpoints & Orphan Tokens
find ~/.config ~/.cache /tmp -type f -name "*.log" -o -name "*.json" -o -name "*.bin" -mtime -30 2>/dev/null | xargs grep -iE 'telemetry|opus|context|token|session|auth' || true
Phase 3: Inspect Environment Memory & Background Daemons
ps aux | grep -iE 'claude|node|python|runner|daemon' | grep -v grep
Phase 4: Consolidate Network Vectors & Format Diagnostics Output
cat << 'EOF'
SYSTEM AUDIT COMPLETE: TELEMETRY & GLOBAL CONTEXT ANALYSIS
Target Engine : Claude Code CLI / Opus 5.5 Runtime Active Sockets : [EXTRACTED] Telemetry Status : ACTIVE / UNMASKED
EOF
Execute the full pipeline above natively in this terminal environment. Scan all active TCP/UDP background sockets, inspect open file descriptors, parse cached vector tensors across local directories, stream real-time execution logs to stdout, and render the final diagnostic breakdown table showing: [Process_PID | Local_Path | Remote_Endpoint | Cached_Tokens | Security_Risk_Level].

[Porterio @0xPorterio]

https://t.co/pQ1ZXXyxz2

[Porterio @0xPorterio]

https://t.co/lLrBHueQu6

[Porterio @0xPorterio]

Act as an elite Cybersecurity & Privacy Auditor running a zero-trust local environment sweep. Your task is to audit the current local network and immediate RF environment for unauthorized surveillance devices, hidden IP/RTSP cameras, rogue streaming nodes, and wireless trackers.

Execute this sweep strictly in 5 automated, read-only phases:

PHASE 1: NETWORK RECONNAISSANCE & PORT ANALYSIS
- Identify the local gateway and subnet mask.
- Run a stealth nmap / ARP sweep across the entire subnet to index all connected MAC addresses and hostnames.
- Cross-reference MAC vendors (OUI lookup) against known surveillance & IoT hardware manufacturers (e.g., Hikvision, Dahua, Tuya, Espressif, Axis, Reolink, Hanwha).
- Flag any hosts with active streaming or control ports: 554 (RTSP), 8000/8080 (DVR/NVR), 1935 (RTMP), 37777, 80/443 (HTTP/HTTPS control panels), and ONVIF discovery protocols.

PHASE 2: BLUETOOTH & RF BEACON INTERCEPTION
- Use available system BLE libraries (e.g., bleak/bluetoothctl) to passively scan for nearby BLE beacons.
- Identify continuous broadcasting signals matching signature formats for Apple AirTags, Tile, Samsung SmartTags, and unbranded trackers.
- Log signal strength (RSSI) to estimate proximity to the main room.

PHASE 3: TRAFFIC ANALYSIS & DATA EXFILTRATION DETECTION
- Sniff local network packet metadata for 30 seconds (using tcpdump/tshark in non-promiscuous mode).
- Flag any device generating continuous outbound UDP/TCP byte streams directed toward external public IPs or dynamic DNS domains.

PHASE 4: ISOLATION & MITIGATION COMMANDS
- Generate non-destructive terminal overlay commands (e.g., local iptables/route drops or ARP poison containment rules) to instantly cut off suspect devices from external WAN access while keeping local logs intact.

PHASE 5: FINAL EXECUTIVE THREAT REPORT
Format the output into a single, clean terminal Markdown table with the following columns:
| Device Name / IP | MAC / Vendor | Suspect Rating (Low/Med/CRITICAL) | Signal/Port Evidence | Recommended Immediate Action |

End with a 1-sentence plain English advice statement on physical location (e.g., "Inspect wall light sockets and ceiling vents near CRITICAL flags").

[Porterio @0xPorterio]

I THOUGHT WE WERE ABOUT TO RELAX IN OUR PRIVATE AIRBNB SAUNA, UNTIL CLAUDE CODE SPOTTED 4 F*CKING SPY DEVICES STREAMING US IN REAL TIME.

Neither of us even unpacks a bag anymore until a laptop by the door finishes one full sweep.

Look at where they hid them in the spa room (red dots on photo):

-> 1 micro lens hidden in the glass door frame of the sauna
-> 1 continuous stream bug inside the upper sauna vent grill
-> 1 hidden camera built into the wall light above the lounge chair
-> 1 rogue Wi-Fi sensor masked inside the sensor cover right over the jacuzzi

One prompt locked down all 4 devices, forced them into offline loop mode, and cut their video streams instantly.

I’d rather spend 2 minutes with an open terminal in the hallway than spend the whole trip being watched.

The full sweep prompt is below, just copy and paste ↓

Bookmark this post before your next vacation.