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Robots learn 1,000 tasks in one day from a single demo

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Robots learn 1,000 tasks in one day from a single demo

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Most robot headlines follow a familiar script: a machine masters one narrow trick in a controlled lab, then comes the bold promise that everything is about to change. I usually tune those stories out. We have heard about robots taking over since science fiction began, yet real-life robots still struggle with basic flexibility. This time felt different.

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Researchers highlight the milestone that shows how a robot learned 1,000 real-world tasks in just one day. (Science Robotics)

How robots learned 1,000 physical tasks in one day

A new report published in Science Robotics caught our attention because the results feel genuinely meaningful, impressive and a little unsettling in the best way. The research comes from a team of academic scientists working in robotics and artificial intelligence, and it tackles one of the field’s biggest limitations.

The researchers taught a robot to learn 1,000 different physical tasks in a single day using just one demonstration per task. These were not small variations of the same movement. The tasks included placing, folding, inserting, gripping and manipulating everyday objects in the real world. For robotics, that is a big deal.

Why robots have always been slow learners

Until now, teaching robots physical tasks has been painfully inefficient. Even simple actions often require hundreds or thousands of demonstrations. Engineers must collect massive datasets and fine-tune systems behind the scenes. That is why most factory robots repeat one motion endlessly and fail as soon as conditions change. Humans learn differently. If someone shows you how to do something once or twice, you can usually figure it out. That gap between human learning and robot learning has held robotics back for decades. This research aims to close that gap.

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The research team behind the study focuses on teaching robots to learn physical tasks faster and with less data. (Science Robotics)

How the robot learned 1,000 tasks so fast

The breakthrough comes from a smarter way of teaching robots to learn from demonstrations. Instead of memorizing entire movements, the system breaks tasks into simpler phases. One phase focuses on aligning with the object, and the other handles the interaction itself. This method relies on artificial intelligence, specifically an AI technique called imitation learning that allows robots to learn physical tasks from human demonstrations.

The robot then reuses knowledge from previous tasks and applies it to new ones. This retrieval-based approach allows the system to generalize rather than start from scratch each time. Using this method, called Multi-Task Trajectory Transfer, the researchers trained a real robot arm on 1,000 distinct everyday tasks in under 24 hours of human demonstration time.

Importantly, this was not done in a simulation. It happened in the real world, with real objects, real mistakes and real constraints. That detail matters.

Why this research feels different

Many robotics papers look impressive on paper but fall apart outside perfect lab conditions. This one stands out because it tested the system through thousands of real-world rollouts. The robot also showed it could handle new object instances it had never seen before. That ability to generalize is what robots have been missing. It is the difference between a machine that repeats and one that adapts.

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AI VIDEO TECH FAST-TRACKS HUMANOID ROBOT TRAINING

The robot arm practices everyday movements like gripping, folding and placing objects using a single human demonstration. (Science Robotics)

A long-standing robotics problem may finally be cracking

This research addresses one of the biggest bottlenecks in robotics: inefficient learning from demonstrations. By decomposing tasks and reusing knowledge, the system achieved an order of magnitude improvement in data efficiency compared to traditional approaches. That kind of leap rarely happens overnight. It suggests that the robot-filled future we have talked about for years may be nearer than it looked even a few years ago.

What this means for you

Faster learning changes everything. If robots need less data and less programming, they become cheaper and more flexible. That opens the door to robots working outside tightly controlled environments.

In the long run, this could enable home robots to learn new tasks from simple demonstrations instead of specialist code. It also has major implications for healthcare, logistics and manufacturing.

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More broadly, it signals a shift in artificial intelligence. We are moving away from flashy tricks and toward systems that learn in more human-like ways. Not smarter than people. Just closer to how we actually operate day to day.

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Kurt’s key takeaways 

Robots learning 1,000 tasks in a day does not mean your house will have a humanoid helper tomorrow. Still, it represents real progress on a problem that has limited robotics for decades. When machines start learning more like humans, the conversation changes. The question shifts from what robots can repeat to what they can adapt to next. That shift is worth paying attention to.

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If robots can now learn like us, what tasks would you actually trust one to handle in your own life? Let us know by writing to us at Cyberguy.com

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The future of local TV news has taken a Trumpian turn

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The future of local TV news has taken a Trumpian turn

This is The Stepback, a weekly newsletter breaking down one essential story from the tech world. For more stories on Big Tech versus politics in Washington, DC, follow Tina Nguyen and read Regulator. The Stepback arrives in our subscribers’ inboxes at 8AM ET. Opt in for The Stepback here.

A long time ago, in 2004, the Federal Communications Commission laid down a rule designed to prevent a monopoly: No one company could broadcast to more than 39 percent of all the TV households in the United States. But then Donald Trump returned to the White House in 2025. Brendan Carr became FCC chairman and immediately kicked off a deregulatory initiative called “Delete, Delete, Delete,” in which Carr vowed to get rid of “every rule, regulation, or guidance document” that placed “unnecessary regulatory burdens” on companies. And within months, Nexstar, which already owned over 200 stations nationwide and had hit its ownership cap, announced that it had entered an agreement to purchase its rival, Tegna, for an estimated $6.2 billion — something that could only happen, however, if Carr agreed to change the FCC’s rules.

If you ask Nexstar why it’s pursuing a merger that would give it control of over 80 percent of the market, it’d point to Big Tech as the culprit. As advertisers take their money to Netflix, YouTube, and other digital streamers, linear television — the local television news, the broadcast affiliates, the basic cable networks — has suffered, forcing them to consolidate and shut down newsrooms. In that sense, Nexstar argued, the merger would help it compete for ad revenue with the streaming services, thereby building more robust local journalism. However, the merger’s opponents believe that this is a basic violation of antitrust laws and principles — not to mention the danger of letting one company have editorial control over the vast majority of America’s local television newsrooms.

But the second Trump administration handles regulatory hurdles a little differently than others, and companies have found that it’s faster to get what they want if they bypass the agencies and talk (read: suck up) to Trump directly. And when Nexstar did so publicly, it confirmed its opponents’ fears about political influence. Last September, in the fraught weeks after the fatal shooting of Charlie Kirk, Nexstar announced it would no longer broadcast Jimmy Kimmel Live! — a response to Carr’s claim that the FCC could revoke the broadcast licenses of TV stations that aired the comedian’s comments related to Kirk. It briefly led to ABC suspending Kimmel’s show, though ABC and Nexstar soon reversed their decision after a massive nationwide backlash and an ABC boycott.

However, Nexstar’s loyalty to Trump himself was not enough to win over his most powerful MAGA supporters. Newsmax, a cable news network with a deeply pro-Trump bent, and its CEO, longtime Trump donor and outside adviser Chris Ruddy, filed a lawsuit objecting to the merger, claiming that Nexstar’s anticompetitive behavior would force channels like his off the air with steeper carriage fees. He specifically accused Nexstar of jacking up the fees for stations to carry Newsmax, while offering its similar network, NewsNation, for much cheaper.

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The Nexstar-Tegna MAGA makeover then took a more subtle turn. NewsNation hired the pro-Trump Fox News commentator Katie Pavlich and gave her her own primetime show. (The network had already hired a slew of former Fox journalists as well.) Around this time, a political group called Keep News Local began airing ads in DC that seemed to directly address Trump, praising him for having “defeated the fake news monopolies before through independent voices and local news” and claiming that the Nexstar-Tegna merger was “crucial for MAGA to survive.” (A little self-contradictory and mildly illogical, but it’s the kind of stuff that Trump likes to hear.) When I last spoke to Ruddy in February, I asked if he’d worried that the dark money going into Keep News Local would sway Trump, and he chose his words carefully: “I think at the end of the day, Trump makes up his own mind. I’m not sure he’s going to be influenced by an ad campaign.”

For months, no one could accurately predict if Trump would override Carr’s wishes and bless the deal, as he’s often done for other companies facing regulatory scrutiny. Trump’s Truth Social posts about the merger have been a good indicator of how precarious the merger has been and who’s been able to influence him at any given moment: Last November, he blasted the deal as an “EXPANSION OF THE FAKE NEWS NETWORKS,” but by February, he posted that the deal would “help knock out the Fake News because there will be more competition.”

Several current and former NewsNation employees told Status at the time that they feared that the parent company was steering NewsNation away from the centrist, “unbiased” reputation they’d long cultivated. “A lot of people within the network believe that the network has gone hard right to appeal to Trump and Brendan Carr,” one former employee told Status. Coincidentally, days before the deal was finalized, NewsNation began ramping up its explicitly pro-Trump content, tweeting a clip of CNN’s Kaitlan Collins being berated by White House press secretary Karoline Leavitt, along with the comment “Just going to leave this here.”

When Trump greenlit the merger in mid-March, but before the FCC’s three commissioners could vote on whether to waive the ownership cap, Nexstar and Tegna immediately announced a new complication: Tegna and Nexstar had already started merging. Tegna was no more and CEO Mike Steib had already sold $22.6 million of his company stock.

In response, eight state attorneys general and satellite TV operator DirectTV, which had already been planning to file separate federal antitrust suits against the merger, asked US District Judge Troy Nunley in Sacramento for an emergency restraining order that would prevent Nexstar from taking over Tegna’s assets. The order was granted on March 27th and on April 17, Nunley issued a formal injunction, ruling that Tegna must be operated as an independent financial entity, and Nexstar must take steps to ensure it remains separate from Tegna before further legal proceedings.

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For now, Nunley has allowed the states and DirecTV to combine their cases, in which both argue that the merger was a clear violation of antitrust laws and would crush news competition.

Meanwhile, Republicans and Democrats in Congress are furious at Carr. On March 30th, Sens. Ted Cruz (R-TX) and Maria Cantwell (D-WA) sent the chairman a joint letter admonishing him for allowing his staff to waive the regulations to let the merger pass, instead of having the full commission of political appointees — one from the Biden administration — vote on it. “Under these circumstances,” they wrote, “any subsequent vote risks being largely procedural rather than a genuine exercise of commission responsibility.” They also pointed out that their hasty approval without the commission’s approval would now complicate the merger financially: “In a transaction of this scale, where integration proceeds quickly and unwinding becomes impractical, delay in judicial review can insulate the decision from meaningful challenge.” Notably, though they share similar ideological views on the media and deregulation, Cruz and Carr have frequently clashed over how to achieve their objectives. Cruz previously slammed Carr as a “mafioso,” for instance, for the way he’d used the FCC to silence Kimmel.

But even if it’s legally paused, the journalistic merger’s fallout has started to hit local news. NPR’s David Folkenfirk reported on Tuesday that Tegna journalists had already started receiving orders to stop broadcasting content from major broadcasters like ABC, CBS, and NBC — media outlets being targeted by Carr — and instead begin airing content from Nexstar’s NewsNation.

  • Brendan Carr’s views on using the FCC to punish major broadcasters was outlined pretty extensively in the chapter he authored in Project 2025, an initiative led by the conservative Heritage Foundation on how to reform the federal bureaucracy to be more favorable to the American right.
  • Exactly how much is local television losing to digital? According to industry publication NewscastStudio, in an investor call defending the purchase, Nexstar chairman Perry Sook cited a market research study from Borrell Associates, which found that “digital advertising in local markets exceeds $100 billion, compared to just $25 billion for local linear television advertising, with nearly two-thirds of digital ad dollars flowing to five major technology companies.”
  • If you want to see exactly how much Keep Local News was trying to suck up to Trump, the ads are archived here.
  • The Vergecast has a long-running segment called “Brendan Carr is a dummy.”
  • The LA Times reported on last week’s preliminary hearings in front of Nunley, and how lawyers for Nexstar, the states, and DirecTV plan to argue their case.
  • The Desk has insights from Kirk Varner, a former TV newsroom director, on how the case could go.
  • Andrew Liptak covered Nexstar’s previous acquisition sprees for The Verge in 2018.
  • Adi Robertson walks through exactly how the Kimmel suspension was an attack on free speech.
  • Brendan Carr keeps trying to convince people that he’s not threatening to suspend broadcast licenses for reporting on unfavorable things like the Iran war, reports Lauren Feiner.
  • The Vergecast has a long-running segment called “Brendan Carr is a dummy.”
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Chinese robot breaks human world record in Beijing half-marathon

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Chinese robot breaks human world record in Beijing half-marathon

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A Chinese-built humanoid robot beat the human half-marathon world record in Beijing on Sunday, marking a breakthrough moment in a high-stakes global race for technological dominance.

A robot developed by Chinese smartphone maker Honor completed the 21-kilometer (13-mile) race in 50 minutes and 26 seconds, beating the human record of about 57 minutes set by Uganda’s Jacob Kiplimo last month.

The performance marked a dramatic improvement from last year’s inaugural event, when the top robot finished in more than 2 hours and 40 minutes.

Dozens of humanoid robots competed alongside about 12,000 human runners, navigating a parallel course to avoid collisions.

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A robot crosses the finish line in the Beijing E-Town Half Marathon and Humanoid Robot Half-Marathon held in the outskirts of Beijing on April 19, 2026. (Andy Wong/AP)

Nearly half of the robots ran using autonomous navigation, while others relied on remote control, organizers said.

Despite the breakthrough, the race still saw glitches, with some robots stumbling at the start or veering into barriers.

Engineers said the winning robot was designed to mimic elite athletes, featuring long legs of about 37 inches and advanced cooling systems to sustain performance.

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“Looking ahead, some of these technologies might be transferred to other areas,” said Du Xiaodi, an engineer with the Honor team. “For example, structural reliability and liquid-cooling technology could be applied in future industrial scenarios.”

Team members celebrate next to the winning Honor Lightning humanoid robot during a medal ceremony after the second Beijing E-Town Half Marathon and Humanoid Robot Half Marathon in Beijing, China, on April 19, 2026. (Maxim Shemetov/Reuters)

Spectators reacted with a mix of amazement and unease at the machines’ rapid progress.

“It’s the first time robots have surpassed humans, and that’s something I never imagined,” Sun Zhigang, who attended the event with his son, told The Associated Press.

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“The robots’ speed far exceeds that of humans,” spectator Wang Wen told the outlet. “This may signal the arrival of sort of a new era.”

A robot starts alongside human runners at the Beijing E-Town Half Marathon and Humanoid Half Marathon on the outskirts of Beijing on April 19, 2026. (Ng Han Guan/AP)

Experts say the race highlights China’s accelerating push to dominate robotics and artificial intelligence, even as widespread commercial use of humanoid robots remains limited, according to Reuters. The experts said Chinese robotics firms are still working to develop the AI software needed for humanoids to match the efficiency of human factory workers.

Runners take pictures of a humanoid robot during the second Beijing E-Town Half Marathon and Humanoid Robot Half Marathon in Beijing on April 19, 2026. (Haruna Furuhashi/Pool Photo via AP)

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“The future will definitely be an AI era,” engineering student Chu Tianqi told Reuters. “If people don’t know how to use AI now … they will definitely become obsolete.”

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The competition underscores a broader technological race between China and the United States, as Beijing invests heavily in advanced robotics as part of its long-term economic strategy.

The Associated Press and Reuters contributed to this report.

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The RAM shortage could last years

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The RAM shortage could last years

According to Nikkei Asia, even as suppliers ramp up DRAM production, manufacturers are only expected to meet 60 percent of demand by the end of 2027. SK Group chairman has even said that shortages could last until 2030.

The world’s largest memory makers — Samsung, SK Hynix, and Micron — are all working to add new fabrication capacity, but almost none of it will be online until at least 2027, if not 2028. SK opened a fab in Cheongju in February, but that is the only increase in production among the three for 2026.

Nikkei says that production would need to increase by 12 percent a year in 2026 and 2027 to meet demand. But according to Counterpoint Research, an increase of only 7.5 percent is planned.

The new facilities will primarily focus on producing high-bandwidth memory (HBM), which is used in AI data centers. With the companies already prioritizing HBM over general-purpose DRAM used in computers and phones, it’s not clear how much these new fabs will help alleviate the price crunch facing consumer electronics. Everything from phones and laptops, to VR headsets and gaming handhelds have seen price increases due to the RAM shortage.

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