Chasing tech innovations in AI & Crypto
Washington
Joined September 2026
- Tweets388
- Following34
- Followers42
- Likes501
Vector retweeted
Same prompt. Claude took 47 minutes. GPT took 9.
I gave Claude Opus 5.5 and GPT-6.1 Sol the exact same prompt. Gummy bears. 3 rounds each, nothing else changed.
→ Claude: dozens of bears pour in, bounce, squish and pile up around one giant bear
→ GPT: a tighter scene, the press flattens a bear like an accordion and the knife slices one clean in half
→ Time: 47 min vs 9 min, so GPT was about 5x faster
Claude went for chaos. GPT went for control.
Vector retweeted
🚨 5 WAYS TO SPOT A FAKE "AI DEMO" BEFORE YOU SHARE IT
1/ Garbled text, a title card or UI label with a smudged word is the classic sign of a video model, not real software
2/ Perfect round numbers, a chart that ends on a big "20%" with no axis, no source and no method is decoration, not data
3/ No prompt, no repo, no link, real builds usually come with one of them, fakes just say "one prompt"
4/ The model name lives only in the caption, if the clip itself never shows the tool, the label is a claim, not proof
5/ No friction, real screen recordings show a cursor, loading, a glitch or a retry, a flawless clip with no human in it deserves a second look
None of these is proof alone, but two or three together is usually enough
What's the most convincing fake demo you've seen
Vector retweeted
The Opus 5.5 honeymoon phase is over
it didn't lose its intelligence
it lost that insane efficiency
gave it a tiny task: fix 1 thumb on my 3D hands... it audited the entire hand and drained 4x the usual limits
the result is still better than any other model could do, BUT
feels like it's choosing the longest path on purpose just to eat more quota
have you noticed that nerf too?
Vector retweeted
THIS ROBOT HAS A HUMAN FACE, AN OPEN TORSO FULL OF WIRES, AND SHE JUST TOOK A GLASS OF LEMON WATER SO NATURALLY THAT 200 PEOPLE STOPPED BREATHING!
At first, most of the crowd thought it was a model in a costume. Then a team member handed her a glass of water with lemon, and she took it with both hands, adjusted her grip and looked at it like a person would.
That is a much harder problem than it looks. The robot has to see the glass, judge its weight, control the force of each finger and avoid crushing or dropping it, all while a crowd is moving around her and phones are pointed at her face.
Walking on stage was the old benchmark. Humans do small things like this thousands of times a day without thinking. A robot has to turn every one of them into sensors, motors and software.
The strangest part is the contrast. The face and the movement say “human”, but the glowing mechanics in her torso and the metal in her leg say “machine”. Your brain keeps switching between the two and cannot settle on one.
Every year the gap between “obviously a robot” and “wait, is that a person?” gets smaller.
Vector retweeted
Claude took 27 minutes. GPT took 7.
Same prompt — and the results aren't even close.
The task: 6 jelly balls fall, collide and fuse into one blob. Claude Opus 5.5 vs GPT-6.1 Sol, 2 rounds each.
Claude Opus 5.5:
→ the jelly is see-through, light passes right through it
→ colors swirl inside the blob instead of turning into mud
→ the shadow picks up color, like real glass
GPT-6.1 Sol:
→ finished about 4x faster
→ the balls merge step by step, no glitches
→ but the final blob looks painted: opaque, colors smear together
My take: need a quick draft - GPT wins on speed. Need it to look real - Claude's extra 20 minutes are worth it.
Would you trade 20 minutes for that result?
Vector retweeted
REA + CLAUDE CODE JUST FOUND A HIDDEN CAMERA IN AN AIRBNB SMOKE DETECTOR
$60 Airbnb. Smoke detector above the bed.
REA scanned the Wi-Fi, found a device that only makes CCTV cameras, and sent it the “find me” ping.
The detector beeped for 5 seconds and its red recording light turned on.
It was sending video out of the room every 4 seconds.
Your 4-minute check before you sleep anywhere new:
wifi → ask Claude + REA to show every device
names → camera brands, “cam”, “ipc” or a nameless box
flashlight → dark room, slow sweep, a lens flashes back
exit → don’t touch it, photo, report, refund
Most people will never run this.
Claude Code just reverse-engineered my Wi-Fi router...
found why it was so f*cking slow and fixed it in 5 minutes
check yours, here's full guide step by step:
step 1 → paste prompt below into Claude Code with photo of your router and tell it what's wrong. If you just want a diagnosis, it works too
step 2 → it gives you one command to save your router password to your keychain, run it - the password never touches the chat
step 3 → Claude shows each fix with the old and new value, you just say yes
step 4 → the rest is on Claude: it backs up every setting, finds what's killing your speed (crowded channel, wrong band, narrow width, old WI-FI mode, lag) and re-tests after every fix
the result: before and after speed in one line, and a router that takes orders from chat: "who's on my WI-FI", "reboot the router" and other...
p.s: works with most routers, if yours is different, just tell Claude Code and it'll find another way in
Try right now, don't forget me later. Then read article below shows how to reverse-engineer anything:
Vector retweeted
SAME PROMPT. OPUS 5.5 COST $24.96. HAIKU 5.5 COST $1.96.
CAN YOU TELL WHICH ONE IS WORTH 12X MORE?
Both got the exact same prompt: a floating Japanese island in voxel style.
Haiku 5.5 built a clean island with a pagoda, cherry trees, a red bridge and glowing lanterns. Simple, readable, done.
Opus 5.5 built a whole world:
→ a dragon wrapped around the pagoda
→ a village, a windmill and a waterfall
→ glowing roots hanging under the island
→ way more detail in every corner
Opus clearly wins on detail.
But Haiku delivered a working scene for less than the price of a coffee.
For a quick prototype, I’d take Haiku every time. For the final version people actually see, Opus earns its price.
Vector retweeted
NOBODY ASKED FOR JENGA WITH REAL PHYSICS. I BUILT IT ANYWAY.
I asked Claude to build Jenga in the browser and make the physics weirder than the real thing. Blocks compress under load, spring back, and the whole tower leans when you pull too hard.
What's inside:
→ 4 materials: classic wood, flex wood, spring wood, soft composite
→ 5 modes, including Earthquake and Extreme flex
→ Stress vision: shows which blocks carry the load
→ Hover any block: load in newtons + extraction risk %
→ Live sliders for gravity, friction, elasticity
My run on Extreme: 31 layers, 13 seconds, total collapse.
Vector retweeted
I CAN'T BELIEVE WHAT I'M LOOKING AT.
THIS IS WHAT A CLAUDE BUILD LOOKS LIKE FROM THE INSIDE.
Claude sent me one video.
It completely changed how I see AI generations.
I used to think a generation was just one big block of code.
I was so wrong.
It's a whole system.
Layers talking to each other. Signals flying between them. Every single action tracked.
While you're waiting for the result, your assistant is quietly running an entire world behind the scenes.
The full stats of my project:
→ 1 prompt
→ 1,200+ lines of code
→ $23.75 for the result
A few things that blew my mind:
→ To look smooth, a scene like this redraws itself about 60 times per second. Every layer gets roughly 16 milliseconds to do its job. Every frame.
→ It's rendered live in your browser, fresh every time you open it.
→ That one shared brain in the middle is why nothing breaks.
You see the final project. What you don't see is the entire system behind it, turning ideas into content.
STOP. WHAT?! CLAUDE MADE THIS? I DON’T BELIEVE IT.
Claude Opus 5.5 · $23.75 · no game engine, just a browser
I wrote the code to create an island, and he created a little piece of paradise
Turquoise water. Palm trees. A tiny beach.
Fish swimming between the corals.
Every layer of rock visible under the sea floor, like a slice of the Earth in a glass box.
More than 1,200 lines of code, all built on the same wavelength
Claude isn't just another AI assistant. It's a highly experienced professional with the skills, expertise, and potential to continuously learn, evolve, and take on increasingly complex challenges.
The ability to turn imagination into code is no longer a dream. It's a reality, and we're already living in that era.
Vector retweeted
Holy sh*t, I’m running Claude Code on CarPlay right in BMW dealership
Claude Opus 5.5 just reverse-engineered my CarPlay...
1 prompt + 20 min = 4 Claude Code agents shipping code live on my dash. Apple never approved a thing
here’s the full guide step by step:
step 1 → plug an Android CarPlay AI box into your car’s USB (Ottocast, Carlinkit Tbox)
step 2 → paste the prompt below into Claude Code on Opus 5.5 with a photo of your head unit
step 3 → Opus maps how CarPlay draws pixels and finds the loophole: whatever runs on the box, the car displays
step 4 → it spins up 4 Claude Code agents in tmux and streams them to your dash
step 5 → approve the connection on the screen once, the last time you lift a finger
step 6 → tap a pane to jump between agents, approve diffs, ship from the driver’s seat
the result: the laptop does the work, the dash is the control room...
p.s: works on almost any car with wireless CarPlay. Mine in the video is a BMW iDrive. Parked only
Find full prompt below
Then read the article below on how to reverse-engineer anything
Vector retweeted
STOP. WHAT?! CLAUDE MADE THIS? I DON’T BELIEVE IT.
Claude Opus 5.5 · $23.75 · no game engine, just a browser
I wrote the code to create an island, and he created a little piece of paradise
Turquoise water. Palm trees. A tiny beach.
Fish swimming between the corals.
Every layer of rock visible under the sea floor, like a slice of the Earth in a glass box.
More than 1,200 lines of code, all built on the same wavelength
Claude isn't just another AI assistant. It's a highly experienced professional with the skills, expertise, and potential to continuously learn, evolve, and take on increasingly complex challenges.
The ability to turn imagination into code is no longer a dream. It's a reality, and we're already living in that era.
Vector retweeted
MOTION DESIGNERS ARE NOT GOING TO LIKE THIS.
This 26-second ad was made by Claude Opus 5.5.
No After Effects.
No Premiere.
No stock footage.
Just a prompt. Claude wrote the code for every frame, then rendered it into a video.
Look at the details:
→ kinetic typography that blurs and snaps into place
→ a fake chat UI typing the prompt live
→ a "Thinking" scene with code scrolling behind it
→ a landing page that builds itself on screen
→ toggle switches flipping in sync with the words
→ a clean end card with a CTA
That's a full motion-design brief. Done by a language model.
An agency would charge $2,000+ for this.
Vector retweeted
OPUS 5.5 TURNED $40 INTO THIS 🐟
I asked it to build Crossy Road inspired by the State Property meme.
OPUS 5.5 · 2h 43m · $43.74
Hop out of the bucket. Dodge crabs and rolling buckets. See how far you get.
tested via aimlapi.com
How far can you get?
Vector retweeted
GAME DEVS ARE NOT GOING TO LIKE THIS.
I typed ONE prompt and Claude Sonnet 5.5 built a full 3D ocean simulator. In the browser. No game engine.
One prompt. Then I went to make coffee.
72 minutes later Claude Sonnet 5.5 was still working.
I almost hit stop.
Glad I didn't.
I got a 50-metre three-masted barque on a living sea:
→ drag the camera around the ship
→ switch the weather from calm to an extreme storm
→ watch the waves grow, the ship heel, the wind turn
→ even the crew changes what they're doing
The part that got me:
it wrote 845 lines of code, then tested itself 12 times before saying "done".
It worked on the first run. I didn't touch a single line.
Total bill: $12.62.
Turn the sound on and watch until the storm hits ⛈️
Vector retweeted
I GAVE CLAUDE AND GPT THE EXACT SAME PROMPT. WHAT HAPPENED NEXT SHOCKED THE AI WORLD 😭
For years everyone said one thing: the more you pay, the better it gets. Nobody expected the cheaper AI to keep up with the expensive one.
One prompt: build a “Cake Studio” with a 3D cake, flavor slices and a full customization panel. No follow-ups, no fixes, zero edits.
→GPT-6.1 Sol went all in on Ultra mode. 36 minutes. $10.98.
→Claude Opus 5.5 ran on Medium. It took its time. 56 minutes. $8.00.
GPT finished 20 minutes faster. Claude came in 27% cheaper, and it wasn’t even on max effort.
Both shipped a working app on the first try.
So what are you paying for: speed or savings?
Vector retweeted
SAME PROMPT. SAME RESULT. 4X THE TIME.
I gave GPT-6.1 Sol Ultra and Claude Opus 5.5 Ultracode the exact same prompt: build an interactive ship in a bottle.
GPT-6.1 → 16 minutes, $10.61
Claude → over an hour, $12.83
At first glance you can't tell them apart. Same bottle, same ship, same waves, wind and weather.
But look closer and you see two different personalities:
→ GPT built the experience.
A warm, detailed wooden ship and a dark stand. It feels like a finished product page. Fast, confident, "good enough" on the first try.
→ Claude built the system.
Wind direction, camera modes, zoom, pause and reset for the simulation, a "live simulation" badge. Nobody asked for half of that. It went deeper into the engine than into the looks.
So the real question isn't "which AI is better".
It's: do you need a result in 16 minutes, or a foundation you can keep building on for weeks?
For a quick demo, GPT wins.
For a real product, those extra 45 minutes might be the cheapest part.
Vector retweeted
🚨 AI CHIP STOCKS JUST HAD THEIR LONGEST LOSING STREAK IN ABOUT 20 YEARS. THE PROBLEM ISN'T THE MODELS.
On Friday the Philadelphia Semiconductor Index fell 3.8% for an eighth straight session, and all 30 stocks in it closed lower. Over seven sessions the index dropped more than 12%. Short sellers booked an estimated $32 billion in paper gains.
Tech lost more than a trillion dollars in value on Friday alone. AI focused software shed another $260 billion. CoreWeave finished the week down 25%.
No lab shipped a worse model this week. What broke is the money. Three things collided: hotter than expected inflation, doubts about the debt used to build data centers (CoreWeave carries roughly $50 billion of it), and reports that China's CXMT is making progress on advanced memory chips.
The detail I can't stop looking at: Nvidia fell about 1.4% on Friday. Broadcom, Micron, AMD, Intel, Lam Research and KLA fell around 5%. The market isn't walking away from the leader. It's questioning everyone whose growth depends on someone else's borrowed money. Goldman called the move a tactical rotation, with hedge funds selling AI stocks at the second fastest pace in over a year.
Context matters too. The main chip ETF is still up about 64% this year, and the big cloud spenders have held up better than the chip names. This looks like repricing, not collapse.
My take: for two years AI demand and AI financing moved as one bet. This week the market started pricing them separately. Demand for compute can be real while the debt that pays for it is still too expensive. Both can be true.
So is this a healthy reset, or the first crack?
