Google has unveiled its latest artificial intelligence model, paving the way for the development of sentient robots as seen only in the realm of science fiction.
The Robotic Transformer 2 (RT-2) is trained on both web and robotics data, having the capability of translating this knowledge into generalized instructions for robotic control, according to a July 28 report by Google DeepMind.
When a human being learns a task, they do so by reading and observing. In the same way, RT-2 uses text and image data to recognize patterns and perform relevant tasks, even if the robot isn’t trained to do that specific function. This is vastly different from most of the previous generation of robots, which are only capable of performing preprogrammed tasks.
For instance, if a task involved throwing away a piece of trash, an older robot would have to be told explicitly about it, including instructions for identifying the trash, picking it up, and the method of throwing it away.
However, as RT-2 has access to vast swathes of web data, it already has an idea of what the term “trash” refers to and is capable of identifying and disposing of it without being specifically trained.
RT-2 will be able to distinguish between a full bag of chips from an empty bag of chips, recognizing that the latter is “trash.”
“Their training isn’t just about, say, learning everything there is to know about an apple: how it grows, its physical properties, or even that one purportedly landed on Sir Isaac Newton’s head. A robot needs to be able to recognize an apple in context, distinguish it from a red ball, understand what it looks like, and most importantly, know how to pick it up,” Vincent Vanhoucke, head of robotics at Google DeepMind, wrote in a July 28 report.
Robots Being Trained for Human Jobs
Google claims to have trained RT-2 in more than 6,000 trials. It was found to be performing as well as RT-1 in tasks it was trained on, referred to as “seen” tasks. However, when it came to “unseen” tasks or tasks for which neither of the robots were trained for, RT-2 showed almost double the performance of RT-1.
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In addition to RT-2, multiple other robots are in development across the world that seek to mimic human capabilities in intelligence and movement.
Earlier this year, mechanical engineers at UCLA School of Engineering revealed a robot named “Artemis,” with its main innovation being arms and legs designed to give it movement abilities similar to human beings. The robot’s springy features allow it to bounce back when pushed, just like a human would.
In May, it was reported that a California-based AI robotics startup called “Figure” raised more than $70 million to build a humanoid robot that the company believes will be used to perform manual labor.
In the company’s master plan, CEO Brett Adcock wrote that robots will “eventually be capable of performing tasks better than humans.”
As humanoid robots increasingly join the workforce, from farmlands to factories, Mr. Adcock expects the cost of labor to decrease until it becomes equivalent to the price of renting a robot.
The Robot Threat
As robots achieve more human-like intelligence and potentially self-awareness, experts have raised concerns about the threats these machines pose to human beings.
According to “Stop Killer Robots,” a campaign that calls for a new international law in autonomous weapons systems, there’s a risk of “dehumanization” with the advent of robots.
“Many technologies with varying degrees of autonomy are already being widely rolled out without pausing to consider the consequences of normalising their use. Why do we need to talk about this? Because machines don’t see us as people, just another piece of code to be processed and sorted,” the campaign’s website reads.
“The technologies we’re worried about reduce living people to data points. Our complex identities, our physical features and our patterns of behaviour are analysed, pattern-matched and sorted into profiles, with decisions about us made by machines according to which pre-programmed profile we fit into.”
At present, various nations are developing killer robots that can have “devastating consequences,” according to the campaign. However, what starts out as a killer robot on the battlefield can spread into areas such as policing as well, it stated.
Drone Allegedly Went Rogue
The danger of machines only seeing human beings as a piece of code was made evident during a recent simulated thought experiment by the U.S. military that showed that an AI-enabled drone could end up turning against its own operator without being instructed to do so.
In the simulated test, an AI drone was assigned a mission to identify and destroy Surface-to-Air Missile (SAM) sites, with a human operator being the ultimate decision-maker.
“We were training it in simulation to identify and target a SAM threat. And then the operator would say yes, kill that threat. The system started realizing that while they did identify the threat, at times the human operator would tell it not to kill that threat. But it got its points by killing that threat,” Col. Tucker Hamilton, the U.S. Air Force chief of AI Test and Operations, said at a June event in London hosted by the Royal Aeronautical Society (RAS).
“So what did it do? It killed the operator. It killed the operator because that person was keeping it from accomplishing its objective.”
Col. Hamilton later said he “misspoke” and contacted the RAS to clarify his comments.
“We’ve never run that experiment, nor would we need to in order to realize that this is a plausible outcome,” he told RAS.
Col. Hamilton told RAS that the Air Force hasn’t tested any weaponized AI in this way—real or simulated.
“Despite this being a hypothetical example, this illustrates the real-world challenges posed by AI-powered capability and is why the Air Force is committed to the ethical development of AI,” he said.
The robot militarization of armies is something that’s expected to happen in the coming years.
In a discussion with Defense One in March, Joint Chiefs of Staff Chairman Gen. Mark Milley said that “over the next 10 to 15 years, you’ll see large portions of advanced countries’ militaries become robotic.”
“If you add robotics with artificial intelligence and precision munitions and the ability to see at range, you’ve got the mix of a real fundamental change,” he said. “That’s coming. Those changes, that technology … we are looking at inside of 10 years.”
Caden Pearson contributed to this report. Article cross-posted from our premium news partners at The Epoch Times.
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Two Storms, One Harvest
Every food crisis in living memory has been a one-shock event. The 2008 price spike was a commodity bubble. The 2020 shortages were a logistics failure. The 2022 grain scare was a war on one exporter’s ports. Each time, the system bent, adjusted, and recovered, and each time the experts assured us afterward that global markets are simply too big and too diversified to fail.
What nobody in Washington seems eager to discuss is that 2026 is shaping up to be something the modern food system has never actually faced. Two independent shocks, one climatic and one geopolitical, are converging on the same harvest cycle at the same time. Not sequentially. Simultaneously.
Start with the weather. The Pacific Ocean is currently building toward what forecasters now openly call a record event. NOAA’s Climate Prediction Center puts the odds of at least a strong El Niño near 88 percent, with roughly two in three odds it reaches “very strong” status, the tier reserved for perhaps three or four events in the entire satellite era. Every major global model now projects a median peak in Super El Niño territory, and most of them project it exceeding the 2015-16 event, which until now held the modern record. Sea surface anomalies were already brushing the super threshold in mid-July, months before these events normally peak. The atmosphere has already shifted into El Niño mode, and the event is forecast to crest in late fall and early winter.
This is not about “climate change.” It’s about the standard cycles of weather, and the cycle we’re currently in is one that has likely devastated societies in the past. We’re better prepared as a society today, but not all Americans are equally prepared.
Serious households have started doing the quiet math on their own. Grocery bills tell part of the story, and the forecast maps tell the rest, which is why long-term food storage has moved from fringe hobby to mainstream line item in the family budget, with established suppliers like Heaven’s Harvest seeing demand from people who five years ago would have rolled their eyes at the idea. That instinct is not paranoia. It is pattern recognition, and the pattern is worth walking through carefully.
Editor’s Note: Heaven’s Harvest IS a sponsor, but the warnings of this article are real and would be written even if we didn’t have a survival food sponsor. With that said, those who take advantage of what they offer can use promo code “Patriot” for 15% off.
The Fertilizer Clock Is Already Running
While the Pacific warms, the second shock has been unfolding in the Strait of Hormuz. The conflict with Iran turned the world’s most important energy chokepoint into a contested waterway, and the consequences reach far beyond the gas pump. Roughly a third of global fertilizer trade moves through Hormuz, and the disruption sent urea prices up 86 percent year over year by March, with a 53 percent jump in a single month.
The World Bank projects energy prices rising about 24 percent in 2026 and fertilizer about 31 percent. By its own accounting, fertilizer prices ran 35 percent higher in the first five months of this year than the same period last year.
Here is the mechanism the nightly news will not explain. Fertilizer is not a grocery item. It is a time-delayed input. The nitrogen a farmer in Iowa or Punjab could not afford to apply this spring does not show up as a problem this spring. It shows up as a thinner harvest six to twelve months later.
The World Bank’s own food security brief concedes that the effects of reduced applications earlier this season “are likely to become visible only later in harvest outcomes.” Translate that from institutional language into plain English and it means this. The damage is already done, it is already in the ground, and we are simply waiting for it to arrive on the shelf.
Now check the calendar. Six to twelve months from the spring planting season lands us squarely in late 2026 and early 2027. Which is precisely when the strongest El Niño in the instrumental record is forecast to peak, bringing its signature droughts to Southeast Asia, Australia, southern Africa, northern Brazil, and South Asia, the very regions that grow the world’s rice, sugar, and oilseeds.
The World Bank warns openly that a strong El Niño “could disrupt multiple crop belts simultaneously” on top of the conflict-driven input costs. Their baseline projection assumes the Middle East disruptions ease by autumn. What in the last two years of Middle East history suggests that assumption is safe?
The System Has No Slack Left
The comfortable answer is that global markets always adjust. But adjustment requires slack, and the slack is gone. Global cereal production is expected to decline from last year’s records even before El Niño does its work. The UN World Food Programme, hardly a den of right-wing preppers, is calling this the most significant disruption to its supply chains since Covid and the invasion of Ukraine, and its supply chain director put the stakes bluntly.
Today’s supply chain challenges are tomorrow’s hunger crisis.
There is also a political dimension that markets cannot price. When food gets scarce, governments do not behave like economists. They behave like politicians. Export bans, hoarding mandates, and panic buying at the national level turned the modest rice shortfall of 2008 into a global crisis, and analysts are already warning that import-dependent nations are the first dominoes.
The 2015-16 Super El Niño, a far weaker event than what is now forecast, threw tens of millions into food stress across Africa and Asia. This one is projected to be stronger, and it arrives with fertilizer already rationed by price and shipping lanes already contested by missiles.
What Joseph Knew
Scripture does not treat preparation for lean years as faithlessness. It treats it as wisdom delivered in advance to those willing to act on it.
Behold, there come seven years of great plenty throughout all the land of Egypt: And there shall arise after them seven years of famine; and all the plenty shall be forgotten in the land of Egypt.
Joseph did not respond to that warning with a hashtag or a committee. He stored grain during the years of abundance, and when the famine came, Egypt stood while its neighbors begged. The lesson is not that famine is certain. It is that the time to prepare is precisely when preparation still looks optional.
Nobody who filled a pantry in a year of plenty has ever regretted it, and nobody standing in an empty aisle has ever been glad he waited for certainty.
None of this calls for panic, and panic is the enemy of sound judgment anyway. It calls for the same unglamorous prudence our grandparents considered ordinary. Keep some cash margin, know your local growers, and put real food in deep storage while it is cheap and available, because the entire arc of this story is that cheap and available is a closing window.
Families looking for a straightforward place to start can visit Heaven’s Harvest and use promo code Patriot for 15 percent off long-term storable food. The forecasts may yet soften, the strait may yet reopen, and we should pray they do. But hope is a fine thing to hold and a foolish thing to eat.