Singularity Update: You Have No Idea How Crazy Humanoid Robots Have Gotten

I just spent the afternoon at Figure headquarters in San Jose with Brett Adcock and David Blundin, and I’m still processing what I saw.

We’re not talking about concept robots. We’re talking about fully autonomous humanoid robots running neural networks end-to-end, doing kitchen work, unloading dishwashers, organizing packages – for hours at a time, with no human intervention.

Today? Figure’s robots are doing 67 consecutive hours of autonomous work. One error in 67 hours. That’s not a demo. That’s a product.

And here’s what most people don’t understand: the gap between “doing one task really well” and “doing every task a human can do” is collapsing at exponential speeds.

Let me explain why…

NOTE: Brett has been a past Faculty Member at my Abundance Summit, where leaders like him share insights years before the mainstream catches on. In-person seats for the 2026 Summit next month are nearly sold out. Learn more and apply.

The Death of C++ and the Rise of the Neural Net

When I first visited Figure, they had several hundred thousand lines of C++ code controlling the robots. Handwritten. Expensive. Brittle.

Every new behavior required engineers to anticipate edge cases, write more code, test it, debug it. It was the software equivalent of teaching a toddler to walk by writing an instruction manual.

In the last year, Figure deleted 109,000 lines of C++ code.

All of it. Gone.

What replaced it? A single neural network that controls the entire robot: hands, arms, torso, legs, feet. Full-body coordination. Real-time planning. Dynamic response to unexpected situations.

This is Helix 2, their latest AI model, and it’s a fundamentally different approach to robotics.

Here’s why this matters: neural nets learn from experience, not instructions.

You don’t code a robot to “grab a cup.” You show it thousands of examples of grasping objects—different shapes, weights, materials—and the neural net extracts the underlying patterns. It learns what “grasping” is at a representational level.

And once it understands grasping? It can generalize to objects it’s never seen before.

Brett put it simply: “If you can teleoperate the robot to do a task, you can train the neural net to learn it.”

That’s the unlock. If the hardware is capable—if the motors, sensors, and joints can physically perform the movement—then the AI can learn it from data.

Compare that to traditional robotics, where you’d need to write thousands of lines of code for every single new task. That approach doesn’t scale. Neural nets do.

The implication: Every robot in the fleet learns from every other robot’s experience. When one Figure robot masters folding laundry, every Figure robot on the planet instantly knows how to fold laundry.

Humans don’t work like this. Robots do.

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China Deploys Humanoid AI Robots to Guard Border

China is dispatching a new kind of recruit to its bustling border with Vietnam: humanoid robots. The UBTECH Walker S2 machines will patrol the Fangchenggang crossing in a high-stakes trial of AI technology.

The above video from UBTECH shows hundreds of these bipedal bots marching in formation, “staring” out at the world with two eye-sized cameras mounted over digital displays. Sophisticated sensors and software help them balance and navigate crowded spaces, and the droids also autonomously swap their own batteries to minimize downtime. At the end of the video, the bots file into multiple Chinese shipping containers and give a salute.

Border officials claim the robots’ roles will be diverse, from guiding passenger lines to checking cargo IDs and seals. The deployment is part of China’s national strategy to lead the global robotics race; footage released earlier this month shows a different model of android soldier deployed near the country’s border with India.

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Europol Pinpoints When Skynet-Like Human Resistance To AI Could Emerge

If Goldman’s estimates of a partial or full displacement of up to 300 million jobs across the Western world due to the proliferation of artificial intelligence and automation are even remotely correct, a new report suggests that by 2035, society could face widespread public resentment, protests, and even acts of sabotage directed at robotic systems.

A new report by Europol, the EU’s central intelligence and coordination hub for serious crime and terrorism, identifies around 2035 as a potential inflection point at which a human resistance movement against AI could begin to take shape, in a scenario that echoes the resistance to Skynet in the Terminator film franchise.

Europol warned of “bot-bashing” incidents and acts of sabotage against robotic systems in the middle of the next decade, as the spread of AI and robotics could fuel a populist backlash against technologies that have hollowed out parts of the Western economy and left millions unemployed.

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ROBOT DYSTOPIA: Europol Report Warns That, in a Decade, Enemy-Deployed Humanoids May Battle Law Enforcement, While People Unemployed by Tech Rebel and Demand ‘Humans First’

Robot apocalypse is nearer than we imagine, according to Europol.

If we may adapt two old sayings: ‘just because the liberals are constantly crying wolf, it does not mean that the wolf will never come’.

Take, for example, the European obsession with constantly keeping the population in a panic with dystopian scenarios.

While we are constantly dodging these catastrophic hoaxes, it is also true that every now and then, one of these scenarios may strike differently.

A new report by the European Police (Europol) warns that, in a decade, ‘angry mobs of unemployed citizens will riot in the streets against the hordes of service robots that have stolen their jobs’.

Swarms of enemy drones attacking electricity and water supplies, law enforcement combatting rogue robots… dystopian, but so close to out reality.

The Telegraph reported:

“The 48-page Europol document details how law enforcement will need to tackle robots and unmanned systems (drones, satellites and remote-controlled boats) in a dystopian vision of the future.”

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‘Spider robot’ promises to build entire houses in less than 24 hours

A spider-shaped construction robot named Charlotte is being developed in Sydney to 3D print a full-size house in roughly a day. Developers say the machine can autonomously form structural walls for about a 2,150-square-foot home using locally sourced materials.

Instead of cement and bricks delivered by truck, Charlotte compacts sand, soil, and clean waste into layered walls on-site. Researchers argue that this single-machine approach removes long supply chains and many high-carbon steps.

Charlotte, the construction robot

Charlotte is a mobile, legged system that pairs robotics with additive manufacturing, building objects layer by layer with a printer.

The prototype shown in Sydney is not a finished product, but its architecture offers a clear view of where construction automation is heading.

The work was led by Clyde Webster, founding director at Crest Robotics in Sydney. His work centers on agile field robots for construction tasks that are hard, repetitive, or risky. Momentum comes from the housing crunch and a push to cut carbon. 

“The building materials that we use today – even a simple brick has so many processes involved and some of them very – very carbon-intensive,” said Dr. Jan Golembiewski, co-founder of Earthbuilt Technology.

From soil to structure

Crest describes an undercarriage-mounted system that gathers sand, earth, and crushed brick, binds the mix in textiles, and then compacts it into successive layers. 

At the core is extrusion – pushing a material through a nozzle to form layers. That lets a robot produce continuous courses without mortar joints, guided by digital plans.

“It will work at the speed of over 100 bricklayers,” said Dr. Golembiewski. The team stresses speed as much as simplicity. 

Range of motion matters, too, since legs can step over uneven ground where wheeled rigs bog down. A compact, folding frame also makes transport easier, which is essential for remote sites.

Charlotte robots can cut carbon

Buildings use a lot of energy and materials. A UN Environment Programme report notes that in 2022 the sector accounted for 37 percent of energy- and process-related carbon dioxide emissions.

Cutting the most carbon-heavy steps in early stages can have outsized effects later. That is where embodied carbon, the total emissions from making and moving materials, becomes a key metric for builders and regulators.

Charlotte’s creators claim their method avoids cement entirely while turning clean waste into durable walls. If performance and safety data hold up, that would cut both cost and emissions on the same job.

There is a workforce angle as well. Automation that handles repetitive, high-risk tasks could reduce injuries while letting smaller crews do more skilled work.

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Manufacturer issues remote kill command to disable smart vacuum after engineer blocks it from collecting data — user revives it with custom hardware and Python scripts to run offline

An engineer got curious about how his iLife A11 smart vacuum worked and monitored the network traffic coming from the device. That’s when he noticed it was constantly sending logs and telemetry data to the manufacturer — something he hadn’t consented to. The user, Harishankar, decided to block the telemetry servers’ IP addresses on his network, while keeping the firmware and OTA servers open. While his smart gadget worked for a while, it just refused to turn on soon after. After a lengthy investigation, he discovered that a remote kill command had been issued to his device.

He sent it to the service center multiple times, wherein the technicians would turn it on and see nothing wrong with the vacuum. When they returned it to him, it would work for a few days and then fail to boot again. After several rounds of back-and-forth, the service center probably got tired and just stopped accepting it, saying it was out of warranty. Because of this, he decided to disassemble the thing to determine what killed it and to see if he could get it working again.

Since the A11 was a smart device, it had an AllWinner A33 SoC with a TinaLinux operating system, plus a GD32F103 microcontroller to manage its plethora of sensors, including Lidar, gyroscopes, and encoders. He created PCB connectors and wrote Python scripts to control them with a computer, presumably to test each piece individually and identify what went wrong. From there, he built a Raspberry Pi joystick to manually drive the vacuum, proving that there was nothing wrong with the hardware.

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Chinese ‘golf carts’ repurposed as remote-controlled battlefield robots by Russia 

Russian forces have converted Chinese-made all-terrain vehicles (ATVs) into remotely operated battlefield platforms. The 36th Guards Combined Arms Army of Vostok carried out this experiment, converting the Desertcross 1000-3 utility vehicles into remote-controlled battlefield systems.

The adapted systems were reported in early October 2024, with operations occurring on the frontlines of the war in Ukraine. The vehicles have been designed to reduce troop exposure by automating dangerous roles like laying fiber-optic communication cables.

The vehicles are modified using commercially available components and 3D-printed parts, enabling troops to control them remotely and minimize the risk of casualties from artillery, drones, or small-arms fire.

A safety concern

Signal troops are highly vulnerable at the front while establishing communication lines. The modified ATVs aim to mitigate this risk by helping lay fiber-optic cable through remote control. It can lay up to five kilometers of cable across varied terrain.

By deploying modified Desertcross platforms, the Russian military aims to maintain secure network connectivity while reducing frontline exposure and logistical bottlenecks.

From golf carts to battlefields

Built in China, the Dessertcross 1000-3 was never intended for war. It was positioned as a recreational off-roader and commercial utility vehicle. Manufactured by Shangdong Odes Industry, it features a 72-horsepower gasoline engine, a 50-liter fuel tank, a 916 kg mass, and a cargo capacity of around 300 kilograms.

According to Russian reports, the country purchased thousands of dessert crosses in 2023. Their affordability, availability, and adaptability have made them a cost-effective option for a military struggling to balance cost with operational necessity.

In practice, the vehicles are already being used not only for logistical roles but also during assault operations on Ukrainian positions.

According to some defense reports, some of these ATVs have been fitted with weapons like PKM machine guns, NSV or Kord heavy machine guns, and AGS-17 grenade launchers.

In some cases, units have also added anti-drone gear such as nets or cages to protect against aerial attacks.

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Explosive-Laden Robots Pour Into Gaza City: ‘More Devastating Than Airstrikes’

Israeli Finance Minister Bezalel Smotrich said Wednesday, “We have poured a lot of money into this war. We have to see how we are dividing up the land in percentages” amid the ongoing Gaza military operation. Importantly, he further described “the demolition” of Gaza City as “the first stage in the city’s renewal, we have already done. Now we just need to build.”

But how does Israel’s military plan to do this? First, as we’ve detailed before, the IDF is utilizing airstrikes involving powerful missiles hitting the bases of high-rise buildings in order to collapse them in their own footprint. But for other buildings and structures in tightly-packed urban areas, there’s increased reliance on explosive-laden robots, or something that might look straight out of Terminator 2 and Skynet.

Walla news outlet says “unprecedented” number of explosive-ladenremote-controlled vehicles are being prepared to invade Gaza City alongside the ground infantry troops.

The Israeli military commonly refers to them as “suicide APCs” – and they are capable of being driven deep into urban environments before causing huge explosions.

They’ve been able to cause ‘mega-blasts’ so powerful that in some instances they can be heard as far away as central Israel. Palestinians have described “earth-shaking” explosions, with one eyewitness recently telling Middle East Eye that “they are far more devastating than air strikes.”

Gaza’s Government Media Office has said over one hundred of these explosive robots have been used in about the past month alone. Hundreds of residential units and small business buildings have been destroyed.

Euro-Med Human Rights Monitor details the following on how large the explosives can get:

Each of these robots is loaded with highly explosive materials, sometimes weighing up to seven tonnes, and is directed to detonate in Jabalia al-Balad and Jabalia al-Nazla north of Gaza City; the Zeitoun, al-Sabra, al-Shuja’iyya, and al-Tuffah neighbourhoods south and east of Gaza City; as well as the al-Saftawi and Abu Iskandar areas northwest of Gaza City.

The unprecedented pace of destruction of residential neighborhoods in Gaza City using explosive-laden robots indicates Israel’s determination to wipe the city off the map. At the current rate, the rest of the city could be destroyed within two months, a timeline that may shorten further given the Israeli army’s massive firepower and the absence of any pressure to halt its crimes against Palestinians.

Often it is outdated M113 armored personnel carriers that are turned into autonomous vehicles and strapped with the large explosives. The fact that they are modified personnel carriers means that they can carry a very large payload.

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These Are The World’s Top Industrial Robotics Companies

The global industrial robotics market is on a sharp growth trajectory, projected to hit $10.2 billion in sales by 2025.

As factories automate and smart manufacturing expands, robotics play an increasingly vital role in production. By 2025, industrial robots are expected to handle nearly 60% of new installations in the automotive and electronics sectors alone.

This visualization, via Visual Capitalist’s Bruno Venditti, breaks down the market share of leading industrial robotics manufacturers.

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CIA and Mossad-linked Surveillance System Quietly Being Installed Throughout the US

Launched in 2016 in response to a Tel Aviv shooting and the Pulse Nightclub shooting in Orlando, Florida, Gabriel offers a suite of surveillance products for “security and safety” incidents at “so-called soft targets and communal spaces, including schools, community centers, synagogues and churches.” The company makes the lofty promise that its products “stop mass shootings.” According to a 2018 report on Gabriel published in the Jerusalem Post, there were an estimated 475,000 such “soft targets” across the U.S., meaning that “the potential market for Gabriel is huge.”

Gabriel, since its founding, has been backed by “an impressive group of leaders,” mainly “former leaders of Mossad, Shin Bet [Israel’s domestic intelligence agency], FBI and CIA.” In recent years, even more former leaders of Israeli and American intelligence agencies have found their way onto Gabriel’s advisory board and have promoted the company’s products.

While the adoption of its surveillance technology was slower than expected in the United States, that dramatically changed last year, when an “anonymous philanthropist” gave the company $1 million to begin installing its products throughout schools, houses of worship and community centers throughout the country. That same “philanthropist” has promised to recruit others to match his donation, with the ultimate goal of installing Gabriel’s system in “every single synagogue, school and campus community in the country.”

With this CIA, FBI and Mossad-backed system now being installed throughout the United States for “free,” it is worth taking a critical look at Gabriel and its products, particularly the company’s future vision for its surveillance system. Perhaps unsurprisingly, much of the company’s future vision coincides with the vision of the intelligence agencies backing it – pre-crime, robotic policing and biometric surveillance.

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