Aimore

Reading markets, AI. Ignoring the noise

[Aimore @aimorebou]

Gemini fans, look away🤓

Same prompt: "3D human anatomy atlas".
Gemini 3.8 Flash: floating dots.

GPT-6 Astra: a full human body. Muscles, bones, organs. Click any part and it tells you what it is.

Med students would love this. It runs in a browser tab.
Prompt in the first reply 👇

Gemini or Astra? Reply 1 or 2

[Cryonix @CryonixCrypto]

THIS IS A PURE F*CKING GOLDMINE

stop running every Claude Code task on one model.

The idea: Opus thinks, Sonnet types, Haiku reads. Each model only touches the part it's actually good at.

One feature, start to commit: Sonnet burned 356k tokens doing the typing. Opus showed up 4 times for 60k. Three Haiku agents read the codebase in parallel. And the bug that would've shipped got caught before the commit.

You just launch Claude Code like this:

claude --model opusplan

here's the split:

→ plan mode runs on Opus 5.5: architecture, approach, nothing gets touched
→ you approve the plan, execution switches to Sonnet 5.5: writes code, runs tests
→ read/grep goes to Haiku explorers in parallel, they return file:line, not essays
→ same error twice? an Opus advisor subagent reads the trace and sends back one line of guidance
→ diff ready → an Opus judge subagent reviews it with one rule: "assume it's wrong"
→ judge finds something → back to Sonnet. judge passes → commit

Opus only shows up at four moments:
→ the plan
→ when the loop is stuck
→ the review
→ the re-review

Haiku reads. Sonnet types. Opus judges.

In my run the judge caught "refund > charge accepted" at refunds.ts:57. Tests were 62/62 green. Green tests don't mean correct code.

the full tree
> /model opusplan → Opus in plan mode, Sonnet after you approve
> Explore subagent → fast read-only search
> .claude/agents/advisor.md → model: opus, read-only tools
> .claude/agents/judge.md → model: opus, read-only tools, "assume it's wrong"
> /compact between big phases so context stays clean

paste this prompt into Claude Code ↓

"Set up my routing:
Create two subagents in .claude/agents/.
advisor: model opus, tools Read, Grep, Glob only. Use it when the same error happens twice or when choosing between approaches. Return one short recommendation with file:line.
judge: model opus, tools Read, Grep, Glob only. Review every diff before commit. Assume it's wrong. One line per finding with file:line. Pass only if there are zero findings.
Use Explore for searching the codebase.
Show me both files before saving."

↳
https://t.co/X2seSKIk0c
https://t.co/FJPblCt97q

save it, your next feature ships with a reviewer built in

[Aimore @aimorebou]

@octarinx The payback rule is the smartest part. A prompt that can end with "KEEP PAYING" if UNKNOWNs pile up is more honest than most build-vs-buy takes, which only ever cheer for building.

[Aimore @aimorebou]

@elonmusk Elon's one word "Upgrades" on top of a list that mostly reads as speed plus reach. Connectors like Robinhood and Coinbase plus X Chat access is where it gets interesting, and also where permissions matter most

[Aimore @aimorebou]

Gemini 4 Argon is 5x cheaper than GPT-6 Astra per token. From Dec 1 it costs more per task.

The number to use instead, plus a 30 minute test you can run for about $8.

What do you check first: price per token or cost per task? https://t.co/oIx94x8UQk

[Aimore @aimorebou]

Gemini 4 Argon is 5x cheaper than GPT-6 Astra per token. From Dec 1 it costs more per task.

The number to use instead, plus a 30 minute test you can run for about $8.

What do you check first: price per token or cost per task? https://t.co/oIx94x8UQk

[Aimore @aimorebou]

@gorlinquic Exactly, the repeat at the same period is what makes it more than noise. Oct 31 is the real test, and I'll post what TESS shows as soon as the data is out

[Aimore @aimorebou]

A planet may have been hiding in NASA data for 7 years

One developer with Claude Code may have just found it
Pavel Rabtsevich isn't an astronomer. He ran public TESS data through Claude Code and spotted a star 116 light-years away that dims by 0.05% for two hours every 3.18 days.

If a planet causes it, it's about 1.4x Earth's size. The same dip shows up in 2018, 2020 and 2025 data.
Still a candidate, not a confirmed planet. TESS will watch the star again from October 31.

My take: the data was public all along. What changed is how fast one person can test an idea. AI won't replace astronomers, but it lets outsiders ask better questions.

Would you trust this discovery once NASA confirms it?

[Aimore @aimorebou]

A planet may have been hiding in NASA data for 7 years

One developer with Claude Code may have just found it
Pavel Rabtsevich isn't an astronomer. He ran public TESS data through Claude Code and spotted a star 116 light-years away that dims by 0.05% for two hours every 3.18 days.

If a planet causes it, it's about 1.4x Earth's size. The same dip shows up in 2018, 2020 and 2025 data.
Still a candidate, not a confirmed planet. TESS will watch the star again from October 31.

My take: the data was public all along. What changed is how fast one person can test an idea. AI won't replace astronomers, but it lets outsiders ask better questions.

Would you trust this discovery once NASA confirms it?

[Aimore @aimorebou]

@elonmusk @GadSaad Recommending a book instead of just asserting the claim is rare on here, so credit for that. I’d want to see the actual evidence before buying the framing

[Aimore @aimorebou]

@AIBoticssq Healthy reset, mostly. Nvidia down 1.4% while everyone leaning on borrowed money fell 5% says the market is sorting balance sheets, not abandoning compute demand

[KillerFrost @itsKfrost]

SHE KNOWS EXACTLY WHAT SHE'S DOING WITH THAT POPSICLE

Girl in a white tank and denim shorts leans on the kitchen counter, red popsicle in hand.

She takes her time.

A woman walks in. A man follows right behind her.

He sees the girl. Eyes wide. Jaw on the floor.

She glances sideways, takes one more slow lick, and smiles. Zero guilt.

None of it is real.

Not the girl. Not the kitchen. Not the sitcom.

The hard part isn't her. It's his face.

Be honest: who did you watch first, her or him?

[Roxitsu @roxitsu]

"AI is not a model. AI is a whole stack of technologies." - Jensen Huang, in Taiwan last week with Lex Fridman.

the sentence is the bottom-up version of the thesis in my land grab article.

Jensen frames the stack from the compute end: a few trillion dollars of compute, hundreds of billions per company, Taiwan as the physical bottleneck.

the Grok Bot Template Marketplace is the top of that same stack. role-based bots that package a workflow and sell it ready-to-use.

compute at the bottom. templates at the top. everything else is the layers nobody fully owns yet.

if Jensen is right that AI is a whole stack and leadership is happening in different places up and down it, the template layer is the one that's still unclaimed by a top 100.

that's the land grab window. 69 bots deep today.

the full math and the 5 templates to ship this week:

👇
https://t.co/rqIRnz8xXq

[Aimore @aimorebou]

@fluixoo Landing is the whole product. Until the real one does it twice in a row, I’m not booking a drive-thru by air

[Aimore @aimorebou]

This is AI🤯. The real flying Tesla Roadster made one short hop

Real: Tesla’s new Roadster drove up a ramp, spun in the air on compressed-air thrusters and landed. Musk says production starts in 2028.

Fake: everything you just watched. Made with Kling 4.0. The drive-thru, the police car, the Statue of Liberty selfie.

The gap between the two is where the hype lives.

What would you do first with a flying car?

[Naoris @0xNaoris]

ELON MUSK MADE $22 MILLION AT 27. HIS FIRST BIG PURCHASE WAS A $1 MILLION McLAREN. HIS BIGGEST FEAR? BECOMING SOMEONE WHO DIDN’T DESERVE IT

In 1999, a truck pulled up outside a modest apartment at 7 AM. Inside was a McLaren F1, one of just 62 ever built. Musk had just made a fortune selling Zip2 to Compaq for roughly $307 million.

His personal share was around $22 million.

For most people, that would have been the finish line. For Musk, it was the beginning of a different game.

He remembered the days when he showered at the YMCA and slept on his office floor. Now, standing beside his fiancée Justine and a million-dollar supercar, he was worried about what wealth might do to him.

“I’m afraid we’ll become spoiled brats,” was the concern behind his words. He understood that money could buy private islands, luxury, and a life without limits. But that wasn’t what he wanted to build.

Instead, he committed the vast majority of his fortune to https://t.co/Jl77mrm8JA, an online banking startup that few people believed would work.

He described it like a poker game: rather than taking his winnings off the table, he kept putting almost everything back into the next hand.

https://t.co/Jl77mrm8JA eventually became part of PayPal. When PayPal was sold, Musk walked away with roughly $180 million and directed much of that money into SpaceX and Tesla.

The McLaren, meanwhile, had its own legendary moment. In 2000, Musk was driving with Peter Thiel on the way to pitch Sequoia Capital when the car crashed and went airborne. Neither man was seriously hurt, and the uninsured supercar was badly damaged.

The numbers tell the story. That $1 million car would be worth tens of millions today. The roughly $22 million Musk earned from Zip2 became the foundation for companies that reshaped entire industries.

He could have bought an island and spent the rest of his life enjoying the winnings. Instead, he kept betting on ideas most people thought were too ambitious.

The real difference wasn’t how much money Musk made. It was what he chose to do with it.

The McLaren was a luxury purchase. Everything that followed was a wager on the future.

[Shoopy @0xShoopy]

Anthropic just let Claude build its own team of 1,000 agents.

One prompt in. A lead agent wrote the plan, split it into phases and spawned the rest. 85 hours later it's still running.

Visualized in the video. The prompt to run it on your own project is pinned, full workshop in the quote.

[Aimore @aimorebou]

@0xNextCore humanoed cooker)

[NextCore @0xNextCore]

A 22 YEAR OLD HARVARD STUDENT JUST DROPPED $280,000 ON AN AI RESTAURANT IN VIETNAM. NOW HIS ROBOT CHEF IS SPARKING A FIGHT WITH LOCAL AUTHORITIES

This isn’t another restaurant experimenting with automation. The entire concept revolves around a machine doing the work traditionally reserved for professional chefs, turning a commercial kitchen into a glimpse of what the future of dining could look like.

The young founder is betting $280,000 on an idea that could fundamentally change the economics of the food industry. No traditional kitchen workforce running the show. No conventional cooking process. Just robotics, software, and the ambition to build a restaurant that can operate on an entirely different model.

But the moment technology starts replacing established ways of working, the real battle begins. Questions about safety, food regulations, labor, and accountability can turn a futuristic business into a confrontation with the system itself.

And that’s what makes this story bigger than one restaurant in Vietnam. If a robot can prepare meals consistently, businesses could rethink staffing, operating costs, opening hours, and even how entire restaurant chains are built.

Imagine this model spreading from one location to hundreds, then thousands. Every kitchen becomes a potential automation hub, and every successful service becomes proof that machines can take on another part of the real-world economy.

The founder isn’t just trying to serve food. He’s betting on a future where restaurants are engineered around AI from day one.

The question is no longer whether robots can cook. It’s whether the world is ready for a restaurant industry that doesn’t need to operate the way it always has.

[silver @silveredge9gzc]

2.4 MILLION PEOPLE WATCHED OPTIMUS DRIVE THE FLYING TESLA.

The account that posted it is a fan page, not Tesla. And it marked its own video as AI-generated.

Yesterday everyone thought the real Roadster was fake. Today everyone believes the fake one.

[Aimore @aimorebou]

@SpaceX Bandwagon-5 already sounds like the fifth time the same bus has left the station, and the bus keeps getting fuller

[Aimore @aimorebou]

This is AI🤯. The real flying Tesla Roadster made one short hop

Real: Tesla’s new Roadster drove up a ramp, spun in the air on compressed-air thrusters and landed. Musk says production starts in 2028.

Fake: everything you just watched. Made with Kling 4.0. The drive-thru, the police car, the Statue of Liberty selfie.

The gap between the two is where the hype lives.

What would you do first with a flying car?