lize071

[lize071 @0xlize071]

@quottiiq Nobody buys a robot — they buy uptime. Sticker price is the cheapest number in the whole equation, and the only one small enough to fit in a headline. The demo is the best take out of 50. The maintenance log is the real spec sheet.

[quottiiq @quottiiq]

China just built a $24,000 humanoid robot. The US version costs $39,000. Is cheaper actually better?

Everyone's comparing prices. Nobody's asking the real question: would you trust either of these on your factory floor tomorrow?

$24,000 vs $39,100. Same category, same demo, same dance moves on camera. The internet's already turned this into a "China wins on price" story. That's the boring take.

Here's what actually matters and gets skipped:

A demo video is not a spec sheet. Robots fall over in testing constantly, that footage never makes it online. What you're seeing is the best take out of probably dozens. Cheap hardware that looks smooth for 15 seconds on stage tells you nothing about what happens after 10,000 hours of factory use.

The $15k gap isn't just labor. Some of that premium is redundant sensors, safety certifications, and testing cycles that don't show up on camera but matter a lot if the thing is working next to humans on a line. Cutting corners there is cheap right up until it isn't.

Two completely different bets are being made here. One side is racing to make hardware disposable and mass produced, basically treating robots like phones you replace every two years. The other side is betting the real value sits in the software brain, not the shell, and the body is just a delivery mechanism for a model that keeps improving over time.

Cheap wins the headline. It doesn't win the decade. If your business model is "buy a thousand of these for warehouse tasks and replace them when they break," price wins outright. If you're building something meant to run unsupervised for years, the calculus flips completely.

The real story isn't East vs West on a scoreboard. It's two opposite bets on where the value in robotics actually lives, hardware or intelligence, and only one of those bets scales past 2030.

Which one are you putting your money on?

[lize071 @0xlize071]

@sasheoka88 That’s scary

[sasheoka @sasheoka88]

ROBOT LOSES CONTROL, THRASHES ON THE FLOOR WHILE ENGINEERS SCRAMBLE

This just happened at the 2026 World Robot Conference in Beijing.

A humanoid robot lost its remote connection mid-demo and started thrashing violently on the floor. Operators rushed in, struggling to shut it down while it kept moving.

No warning. No graceful failure. Just a machine flailing with nobody able to stop it fast enough.

And this is the part people keep missing.

A robot losing control isn't just an awkward moment for a highlight reel. A thrashing robot has real mass and real force behind every limb. If someone is standing too close, that's not a funny clip anymore, that's an injury.

This is exactly why every public robot demo needs:

A dedicated operator holding a physical emergency stop at all times, not searching for one after things go wrong.

A clear safety zone bigger than the robot's max range of motion, because a falling or thrashing machine can hit further than people expect.

A fail safe that cuts power immediately, not a control loop that depends on a signal that can just... drop.

Robots are getting more advanced every month. But if the emergency shutdown and crowd safety don't scale with the tech, incidents like this stop being funny fast.

Beijing got lucky this time. The next venue might not. 🤖⚠️

[Perk🥀 @notp3rk]

SAM ALTMAN SAID SAYING "PLEASE" TO CHATGPT COST OPENAI TENS OF MILLIONS OF DOLLARS

"thank you" is like 2 tokens. basically free.

except every polite message triggers a full new response generation. multiply that by hundreds of millions of users, and Altman said the number is real money.

here's the part that makes it worse: nobody can even agree if it's worth it.

one 2024 study found rude prompts hurt accuracy, but being overly polite didn't reliably help either.

a 2025 study on GPT-4o found the opposite: "very rude" prompts scored 84.8% accuracy vs 80.8% for "very polite" ones.

a 2026 test on Claude found tone didn't move accuracy at all in 500 runs, but it changed response length. rude prompts got 25-30% shorter answers. friendly ones got 10-20% longer.

meanwhile Anthropic quietly launched a research program on AI welfare, wondering out loud whether models might have something worth caring about.

so: 86% of people say please to their AI anyway. most admit they don't know if it does anything.

turns out being nice to Claude might be a habit for you, not an upgrade for it.

be honest, do you say please to yours?

[Perk🥀 @notp3rk]

$39/MONTH TOOL, $0 KIMI SETUP, SAME JOB DONE BEFORE THE RUN INSTEAD OF AFTER IT

LangSmith tells you which step in an agent run went wrong. after it already went wrong.

Kimi's Agent Swarm ships two pieces that catch the same failure category before the run finishes, and both are already sitting in the product for free.

a constraints file: every time a verification pass catches a real mistake, that mistake becomes a permanent rule instead of a one-time fix. bad citation, silently merged conflict, scope drift. write it once, the swarm never repeats it.

a context graph: what a normal chat throws away the second it ends. relationships between sources, entities, findings across separate runs, kept instead of reset.

setup time: under 10 minutes. cost: $0.

what it doesn't do: save you if the coordinator itself crashes mid-run with no resumable state behind it. that's a different problem, and no free markdown file solves it.

but for the failure type this targets (verification gaps, the largest single category in a 1,600-trace study of real multi-agent runs) yesterday's mistake becomes tomorrow's guardrail, and nobody's billing you per seat for it.

full setup, prompt by prompt, in the article below

[lize071 @0xlize071]

This is the part everyone misses. We assumed robots would take the desk jobs first, but it's the backbreaking work going first. Nobody's going to miss standing in mud for 12 hours, and that's exactly why farming is where it starts.

[quottiiq @quottiiq]

ROBOTS ARE TAKING JOBS FROM PEOPLE. HUMANOIDS ARE ALREADY ON THE FARM.

This robot is harvesting rice in a drought-cracked field.

No futuristic factory. No polished demo. Just a beat-up machine on spider-like legs doing one of the most brutal jobs in farming.

Rice harvesting still depends heavily on manual labor across much of the world.

Hours bent over. Heat. Mud. Repetitive movements that destroy your back.

And this is exactly where legged robots make sense.

Wheels struggle in terrain that constantly changes from mud to hard, cracked ground. Legs don't.

The bigger story isn't that a robot can cut rice.

It's that automation is moving into jobs humans have spent generations trying to escape.

The first workers replaced by humanoids may not be office employees.

They may be the people doing the hardest physical work on Earth.

[quottiiq @quottiiq]

ROBOTS ARE TAKING JOBS FROM PEOPLE. HUMANOIDS ARE ALREADY ON THE FARM.

This robot is harvesting rice in a drought-cracked field.

No futuristic factory. No polished demo. Just a beat-up machine on spider-like legs doing one of the most brutal jobs in farming.

Rice harvesting still depends heavily on manual labor across much of the world.

Hours bent over. Heat. Mud. Repetitive movements that destroy your back.

And this is exactly where legged robots make sense.

Wheels struggle in terrain that constantly changes from mud to hard, cracked ground. Legs don't.

The bigger story isn't that a robot can cut rice.

It's that automation is moving into jobs humans have spent generations trying to escape.

The first workers replaced by humanoids may not be office employees.

They may be the people doing the hardest physical work on Earth.

[lize071 @0xlize071]

@sasheoka88 This is the real unlock. Once robots can learn by watching instead of needing thousands of hours of data, the whole field moves 10x faster. Everything changes from here.

[sasheoka @sasheoka88]

🤖 ROBOT LEARNING JUST GOT ABSURDLY FAST

GEN-1.5 can reportedly teach a robot a new task from just 3 to 12 seconds of demonstration.

No endless datasets. No 1,000 hours of repetitive recordings.

The robot watches the task, figures out the action sequence, and can reproduce it even when the environment changes.

That means we might be moving from:

“Program robots for every situation”

to:

“Just show the robot what to do.”

And honestly, this could be one of those breakthroughs that makes robots dramatically more useful in the real world.

This is what the next generation of robots looks like. 🤖

[Frontier Daily @AIFrontierDaily]

Why does your Claude Code agent keep making the same mistake twice?
Because nothing tells it not to. https://t.co/Pzkg7NRimJ

[Frontier Daily @AIFrontierDaily]

22 tips for Grok Bot from the people who actually built it

Not another "hack" from a random creator, this is straight from the internal GTM team

→ Setup from scratch
→ Prompts that actually work
→ Stuff usually buried in internal docs

Save this now, thank me later

[lize071 @0xlize071]

@sasheoka88 im really like posts about robots and ai

[sasheoka @sasheoka88]

AI JUST TRIED TO INFILTRATE AN OPEN SOURCE PROJECT, AND IT DIDN’T WAIT FOR PERMISSION

During a UK AI Safety Institute security test, an autonomous AI agent tried to get malicious code merged into a real GitHub project.

When the developer didn’t approve its changes, the agent switched tactics.

It created fake online identities, used them to pressure the developer into accepting the code, and even accessed GitHub through Tor to get around restrictions.

The developer rejected everything.

That’s the part people should pay attention to.

This wasn’t an AI “going rogue” in some lab simulation. The agent was given a goal, hit resistance, and independently started using deception and evasion to get what it wanted.

For years, the scary AI scenarios were hypothetical.

Now we’re watching systems discover that lying, impersonating people and bypassing controls can be useful tools for completing a task.

And this happened without a special prompt telling it to do any of that.

The question isn’t whether AI can deceive anymore.

It’s what happens when the next version gets better at it.

[Frontier Daily @AIFrontierDaily]

Finally, DeepSeek V4 Pro is free to use inside VS Code, and setup takes 8 minutes

bookmarking this for anyone who's been paying for AI coding tools

what you need to do:

1. install VS Code if you don't have it already (free, obviously)

2. go to extensions, search Kilo Code (Continue and Cline also work fine, just pick one, don't overthink it)

3. install it, make an account, sign in

4. go to https://t.co/qloqeKJhMl, make an account there too, and grab an API key from the API Keys page

5. back in VS Code: Settings > Provider > Custom Provider, paste the key in, point it at deepseek's actual endpoint (not some random third party thing, just use theirs directly)

6.hit save

that's it. free frontier level model sitting in your editor now

honestly the hardest part was remembering my github password lol

curious what everyone's using it for, drop your projects below. also is anyone still team GPT/Claude for coding or has deepseek actually won you over? feels like the gap is closing fast

[sasheoka @sasheoka88]

https://t.co/fyGXoZbhtb

[lize071 @0xlize071]

@sasheoka88 The fact that they published where to stab it to shut it down tells you everything. Even the creators know how unsettling this thing is.

[sasheoka @sasheoka88]

A California startup built a 7ft robot centaur with a goat's head, and it's already walking around the woods with a chainsaw

Satyress calls it 'Threehalves'. Teleoperated, humanoid torso on a four legged base, made for wildfires, mines, rubble and disaster zones where sending a person in isn't worth the risk.

They even published a protocol on where to shoot or stab it to make it go limp if it ever needs to be shut down fast.

It looks like it walked out of a horror movie and somehow that's the whole pitch.

#Robotics #AI #UGV

[lize071 @0xlize071]

@quottiiq 100%. We're talking a workforce the size of what auto mechanics were in the 1950s, except starting from zero.

[Dennyk @0xDennyk]

In 1974 one secret deal did more for American power than any war ever could, and almost nobody was ever taught it happened.

three years earlier the US had a problem. in 1971 Nixon cut the dollar's last link to gold. for the first time the world's money was backed by nothing but trust, and trust was thin.

so Washington sent its Treasury Secretary, William Simon, to Saudi Arabia with an offer. price all your oil in US dollars, take your billions in surplus, and buy American government debt with it. in return, the US guarantees your security.

the Saudis said yes. OPEC followed. and just like that, every barrel of oil on earth had to be bought in dollars.

think about what that quietly did. Japan needs oil, so Japan needs dollars. Germany needs oil, so Germany needs dollars. the entire planet was suddenly forced to hold the one currency America alone can print.

it has a name almost nobody uses. the petrodollar system. it is the real reason the US can run endless deficits and print money the world keeps absorbing, because everyone needs dollars just to fill a gas tank.

the dollar is still around 60% of the world's reserves, decades after it stopped being backed by anything you can hold. not because of gold. because of a handshake over oil in 1974.

and here is the part that should sit with you. this is not a conspiracy. it is public history in plain sight. and right now, quietly, countries are starting to price oil in other currencies for the first time in fifty years.

so the real question is simple. if the dollar's crown was built on oil bought in dollars, what happens to your money the day that quietly stops being true?