Trump Extends TikTok Deal Deadline, Delaying a Potential Ban
The app was facing a Saturday deadline to change its ownership or face a ban in the United States.
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The app was facing a Saturday deadline to change its ownership or face a ban in the United States.
The two have long been divided on whether speech can be restricted, and when. Under the Trump administration, the gap is widening.
Board game designer and entrepreneur Jamey Stegmaier has published hit games like Scythe and Wingspan —the latter a personal favorite of mine, with a delightfully gentle theme about birds—but this week found him in a gloomy mood. “Last night I tried to work on a new game I’m brainstorming,” he wrote in a blog post yesterday, “but it’s really hard to create something for the future when that future looks so grim. I mostly just found myself staring blankly at the enormity of the newly announced 54 percent tariff on goods manufactured in China and imported to the US.” Most US board games are made in China, though Germany (the home of modern hobby board gaming) also has manufacturing facilities. While printed content, such as card games, can be manufactured in the US, it’s far harder to find anyone who can make intricate board pieces like bespoke wooden bits and custom dice. And if you can, the price is often astronomical. “I recall getting quoted a cost of $10 for just a standard empty box from a company in the US that specializes in making boxes,” Stegmaier noted—though a complete game can be produced and boxed in China for that same amount. Read full article Comments
Meta, which owns Facebook, Instagram and WhatsApp, would not seem to be in the line of fire from tariffs. But Tweety McTreason’s trade actions are hitting even social networking businesses.
Plant cells are surrounded by an intricately structured protective coat called the cell wall. It’s built of cellulose microfibrils intertwined with polysaccharides like hemicellulose or pectin. We have known what plant cells look like without their walls, and we know what they look like when the walls are fully assembled, but we’ve never seen the wall-building process in action. “We knew the starting point and the finishing point, but had no idea what happens in between,” says Eric Lam, a plant biologist at Rutgers University. He’s a co-author of the study that caught wall-building plant cells in action for the first time. And once we saw how the cell wall building worked, it looked nothing like how we drew that in biology handbooks. Camera-shy builders Plant cells without walls, known as protoplasts, are very fragile, and it has been difficult to keep them alive under a microscope for the several hours needed for them to build walls. Plant cells are also very light-sensitive, and most microscopy techniques require pointing a strong light source at them to get good imagery. Then there was the issue of tracking their progress. “Cellulose is not fluorescent, so you can’t see it with traditional microscopy,” says Shishir Chundawat, a biologist at Rutgers. “That was one of the biggest issues in the past.” The only way you can see it is if you attach a fluorescent marker to it. Unfortunately, the markers typically used to label cellulose were either bound to other compounds or were toxic to the plant cells. Given their fragility and light sensitivity, the cells simply couldn’t survive very long with toxic markers as well. Read full article Comments
The app was facing a Saturday deadline to change its ownership or face a ban in the United States.
When Google announced Tuesday that end-to-end encrypted messages were coming to Gmail for business users, some people balked, noting it wasn’t true E2EE as the term is known in privacy and security circles. Others wondered precisely how it works under the hood. Here’s a description of what the new service does and doesn’t do, as well as some of the basic security that underpins it. When Google uses the term E2EE in this context, it means that an email is encrypted inside Chrome, Firefox, or just about any other browser the sender chooses. As the message makes its way to its destination, it remains encrypted and can’t be decrypted until it arrives at its final destination, when it’s decrypted in the recipient’s browser. Giving S/MIME the heave-ho The chief selling point of this new service is that it allows government agencies and the businesses that work with them to comply with a raft of security and privacy regulations and at the same time eliminates the massive headaches that have traditionally plagued anyone deploying such regulation-compliant email systems. Up to now, the most common means has been S/MIME, a standard so complex and painful that only the bravest and most well-resourced organizations tend to implement it. Read full article Comments
Dozens of companies are building robots that look like humans. One of them is training a machine to be a butler and will soon test them in homes.
Bonobos, great apes related to us and chimpanzees that live in the Republic of Congo, communicate with vocal calls including peeps, hoots, yelps, grunts, and whistles. Now, a team of Swiss scientists led by Melissa Berthet, an evolutionary anthropologist at the University of Zurich, discovered bonobos can combine these basic sounds into larger semantic structures. In these communications, meaning is something more than just a sum of individual calls—a trait known as non-trivial compositionality, which we once thought was uniquely human. To do this, Berthet and her colleagues built a database of 700 bonobo calls and deciphered them using methods drawn from distributional semantics, the methodology we’ve relied on in reconstructing long-lost languages like Etruscan or Rongorongo. For the first time, we have a glimpse into what bonobos mean when they call to each other in the wild. Context is everything The key idea behind distributional semantics is that when words appear in similar contexts, they tend to have similar meanings. To decipher an unknown language, you need to collect a large corpus of words and turn those words into vectors—mathematical representations that let you place them in a multidimensional semantic space. The second thing you need is context data, which tells you the circumstances in which these words were used (that gets vectorized, too). When you map your word vectors onto context vectors in this multidimensional space, what usually happens is that words with similar meaning end up close to each other. Berthet and her colleagues wanted to apply the same trick to bonobos’ calls. That seemed straightforward at first glance, but proved painfully hard to execute. Read full article Comments
It’s well-established that, on the whole, Americans die younger than people in most other high-income countries. For instance, an analysis from 2022 found that the average life expectancy of someone born in Switzerland or Spain in 2019 was 84 years. Meanwhile, the average US life expectancy was 78.8, lower than nearly all other high-income countries, including Canada’s, which was 82.3 years. And this was before the pandemic, which only made things worse for the US. Perhaps some Americans may think that this lower overall life-expectancy doesn’t really apply to them if they’re middle- or upper-class. After all, wealth inequality and health disparities are huge problems in the US. Those with more money simply have better access to health care and better health outcomes. Well-off Americans live longer, with lifespans on par with their peers in high-income countries, some may think. It is true that money buys you a longer life in the US. In fact, the link between wealth and mortality may be stronger in the US than in any other high-income country. But, if you think American wealth will put life expectancy in league with Switzerland, you’re dead wrong, according to a study in the latest issue of the New England Journal of Medicine. Read full article Comments
European regulators are considering fining X more than $1 billion, after weighing the risks of further antagonizing Mr. Musk and Tweety McTreason.
As AI hype permeates the Internet, tech and business leaders are already looking toward the next step. AGI, or artificial general intelligence, refers to a machine with human-like intelligence and capabilities. If today’s AI systems are on a path to AGI, we will need new approaches to ensure such a machine doesn’t work against human interests. Unfortunately, we don’t have anything as elegant as Isaac Asimov’s Three Laws of Robotics. Researchers at DeepMind have been working on this problem and have released a new technical paper (PDF) that explains how to develop AGI safely, which you can download at your convenience. It contains a huge amount of detail, clocking in at 108 pages before references. While some in the AI field believe AGI is a pipe dream, the authors of the DeepMind paper project that it could happen by 2030. With that in mind, they aimed to understand the risks of a human-like synthetic intelligence, which they acknowledge could lead to “severe harm.” Read full article Comments
Europe’s tech industry is bracing for impact after the Trump administration announced sweeping tariffs yesterday. The US slapped a 20% tariff on imports from the EU — twice the rate for the UK. Switzerland fared even worse, receiving a hefty 32% levy. Several European tech firms, investors, and analysts told TNW that the measures could disrupt supply chains, force pricing adjustments, and stem the flow of transatlantic VC capital — plunging European tech companies big and small into uncertainty. “Trump’s trade tariffs will have a huge impact on the global tech landscape, forcing startups to reconsider their headquarters and assess… This story continues at The Next Web
“Hello, I will be your driver for today,” says Bartek Szurgot, a software engineer at German startup Vay and my chauffeur for this ride. He disengages the handbrake, gently presses the accelerator and the new Kia Niro EV I’m sitting in slowly pulls out of the parking lot. As we approach the first intersection, Bartek indicates, turns the steering wheel, makes his observations, and drives out onto a busy road near the centre of Berlin. So far, pretty standard — except for one big difference. Bartek isn’t in the car. He’s in an office a few blocks away, controlling the… This story continues at The Next Web