
About 20 people have been fired from Meta for leaking “confidential information”, such as Mark Zuckerberg’s complaints about too much leaking. CC-licensed photo by Michael Vroegop on Flickr.
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No post today at the Social Warming Substack. Maybe next week?
A selection of 10 links for you. Use them wisely. I’m @charlesarthur on Twitter. On Threads: charles_arthur. On Mastodon: https://newsie.social/@charlesarthur. On Bluesky: @charlesarthur.bsky.social. Observations and links welcome.
AI supertest for prostate cancer screening is “game-changing” • The Times
Eleanor Hayward:
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Scientists have developed a prostate cancer “supertest” they claim is the most accurate tool yet for detecting the disease.
There is no routine screening programme for prostate cancer in the UK because some tests, including the prostate specific antigen (PSA) blood test, are considered too unreliable.
The new test, developed by EDX Medical Group, based at Cambridge Science Park, uses artificial intelligence (AI) to analyse blood and urine samples, looking for more than 100 biological markers. These markers, including specific genes and proteins, have been clinically validated as having a connection to prostate cancer in previous trials.
The test is the first to combine them into one tool. It aims to provide a comprehensive assessment of a man’s overall risk of prostate cancer, discover whether the disease is present and assess what stage it has reached.
It has been welcomed by Sir Chris Hoy, the former Olympic cycling champion who disclosed in November that he has terminal prostate cancer. He said there was a vital need for “better and more accurate screening tests”.
The company hopes to launch the test privately in the UK over the next year and said it could be used by doctors and “revolutionise” prostate cancer screening for men aged 45 to 70.
…Prostate cancer is the most common cancer in England, with 55,000 men diagnosed each year. If caught early, nearly 100% survive, but if caught late, only 50% live. More than 12,000 men a year die from it in the UK.
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Maybe this is the use case for AI? They might be good at diagnoses that humans can’t perceive because we can’t pull enough signal from the noise, rather as GPS navigation systems are picking up a signal so weak it’s one-hundredth of the background thermal noise.
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Antiaging pill for dogs from start-up Loyal wins FDA recognition • The Washington Post
Lisa Bonos:
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Dog owners do many things to keep their companions happy and healthy. They could soon add an antiaging pill to their pooch’s regimen of walks, vet visits and belly rubs.
Loyal, a biotech startup based in San Francisco, said Wednesday that a drug it developed to increase canine lifespan has passed a significant milestone on the way to regulatory approval.
The Food and Drug Administration certified the daily pill as having a “reasonable expectation of effectiveness” at extending senior dogs’ lifespans.
The regulator’s Center for Veterinary Medicine still has to certify that the drug is safe and that Loyal can manufacture it at scale before vets can prescribe the pill to dogs 10 years or older that weigh 14 pounds or more.
Loyal’s CEO, Celine Halioua, estimates that the process should be complete by the end of 2025 and called the FDA’s initial recognition “a key step” to extending dogs’ lives.
…Loyal previously received a “reasonable expectation of effectiveness” certification from the FDA for a longevity drug for large and giant breeds like Great Danes and Newfoundlands. But that treatment has to be administered via injection and will take longer to manufacture and get to market.
Other companies are working to develop weight-loss drugs akin to Ozempic for dogs and cats. Loyal’s pill is a result of research into how to mimic the life-extending benefit of caloric restriction without the appetite suppression — and without the need for an owner to restrict their dog’s food.
The drug aims to improve a dog’s metabolic fitness, or the body’s ability to convert nutrients into energy and regulate hormones, which declines in humans and canines with age.
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Older dogs for an ageing population. Fitting, somehow.
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Apple’s new C1 brings two killer features, and it’s just the start • 9to5Mac
Ryan Christoffel:
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Another big advantage with the C1 [besides longer battery life due to lower power demand] is that it can be integrated with iOS in a way Qualcomm’s modem never could. This enables it to understand what you’re doing on the device at any given time, and prioritize data use that matters most.
Here’s Apple’s explanation to Reuters:
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One of the ways Apple hopes the C1 will set its iPhones apart is by tightly integrating it with its processor chips. For example, if an iPhone encounters congested data networks, the phone’s processor can signal to the modem which traffic is the most time sensitive and put it ahead of other data transfers, making the phone feel more responsive to the user’s needs, said Arun Mathias, vice president for wireless software at Apple.
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…When you’re facing network congestion, Qualcomm’s modem has no idea which data requests are most important. Often that creates a frustrating user experience. But Apple’s C1 will be able to offer more responsive and intelligent data use to meet your exact needs.
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Quite what that means is a bit vague – is the idea that when you’re using Safari, the C1 will recognise packets destined for the browser? But Apple managed to tune the M series of chips for the most common instruction groups, so maybe the C1 – and its descendants – will have similar benefits.
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New AI text diffusion models break speed barriers by pulling words from noise • Ars Technica
Benj Edwards:
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On Thursday, Inception Labs released Mercury Coder, a new AI language model that uses diffusion techniques to generate text faster than conventional models. Unlike traditional models that create text word by word—such as the kind that powers ChatGPT—diffusion-based models like Mercury produce entire responses simultaneously, refining them from an initially masked state into coherent text.
Traditional large language models build text from left to right, one token at a time. They use a technique called “autoregression.” Each word must wait for all previous words before appearing. Inspired by techniques from image-generation models like Stable Diffusion, DALL-E, and Midjourney, text diffusion language models like LLaDA (developed by researchers from Renmin University and Ant Group) and Mercury use a masking-based approach. These models begin with fully obscured content and gradually “denoise” the output, revealing all parts of the response at once.
While image diffusion models add continuous noise to pixel values, text diffusion models can’t apply continuous noise to discrete tokens (chunks of text data). Instead, they replace tokens with special mask tokens as the text equivalent of noise. In LLaDA, the masking probability controls the noise level, with high masking representing high noise and low masking representing low noise. The diffusion process moves from high noise to low noise. Though LLaDA describes this using masking terminology and Mercury uses noise terminology, both apply a similar concept to text generation rooted in diffusion.
Much like the creation of an image synthesis model, researchers build text diffusion models by training a neural network on partially obscured data, having the model predict the most likely completion and then comparing the results with the actual answer. If the model gets it correct, connections in the neural net that led to the correct answer get reinforced. After enough examples, the model can generate outputs with high enough accuracy or plausibility to be useful.
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Speed is definitely a key element of usefulness for these models: faster is perceived by the user as better. LLMs are proliferating right now as quickly as PCs did in the mid-1980s, when there were dozens of computer brands all jockeying for sales and, eventually, profit – but also all fading away as the market winners emerged. Is this going to be the same? Or can they all coexist?
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Scientists scorn EPA push to say climate change isn’t a danger, say just look around at the world • AP News
Seth Borenstein:
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As President Donald Trump’s administration looks to reverse a cornerstone finding that climate change endangers human health and welfare, scientists say they just need to look around because it’s obvious how bad global warming is and how it’s getting worse.
New research and ever more frequent extreme weather further prove the harm climate change is doing to people and the planet, 11 different scientists, experts in health and climate, told The Associated Press soon after word of the administration’s plans leaked out Wednesday. They cited peer-reviewed studies and challenged the Trump administration to justify its own effort with science.
“There is no possible world in which greenhouse gases are not a threat to public health,” said Brown University climate scientist Kim Cobb. “It’s simple physics coming up against simple physiology and biology, and the limits of our existing infrastructure to protect us against worsening climate-fueled extremes.”
Environmental Protection Agency chief Lee Zeldin has privately pushed the White House for a rewrite of the agency’s finding that planet-warming greenhouse gases put the public in danger. The original 52-page decision in 2009 is used to justify and apply regulations and decisions on heat-trapping emissions of greenhouse gases, such as carbon dioxide and methane, from the burning of coal, oil and natural gas.
“Carbon dioxide is the very essence of a dangerous air pollutant. The health evidence was overwhelming back in 2009 when EPA reached its endangerment finding, and that evidence has only grown since then,” said University of Washington public health professor Dr. Howard Frumkin, who as a Republican appointee headed the National Center for Environmental Health at the time. “CO2 pollution is driving catastrophic heat waves and storms, infectious disease spread, mental distress, and numerous other causes of human suffering and preventable death.”
That 2009 science-based assessment cited climate change harming air quality, food production, forests, water quality and supplies, sea level rise, energy issues, basic infrastructure, homes and wildlife.
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Once again, taking America’s science back to the 1950s.
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Meta is firing about 20 employees for leaking • The Verge
Alex Heath:
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Meta has fired “roughly 20” employees who leaked “confidential information outside the company,” according to a spokesperson.
“We tell employees when they join the company, and we offer periodic reminders, that it is against our policies to leak internal information, no matter the intent,” Meta spokesperson Dave Arnold tells The Verge exclusively. “We recently conducted an investigation that resulted in roughly 20 employees being terminated for sharing confidential information outside the company, and we expect there will be more. We take this seriously, and will continue to take action when we identify leaks.”
Meta has ramped up its efforts to find leakers due to a recent influx of stories detailing unannounced product plans and internal meetings, including a recent all-hands led by CEO Mark Zuckerberg. After we and other outlets reported on what Zuckerberg said during that meeting, employees were warned not to leak. In comments that were subsequently leaked, CTO Andrew Bosworth then told them that the company was “making progress on catching people.”
…“There’s a funny thing that’s happening with these leaks,” Bosworth said during an internal meeting in early Febuary. “When things leak, I think a lot of times people think, ‘Ah, okay, this is leaked, therefore it’ll put pressure on us to change things.’ The opposite is more likely.”
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Facebook – Meta, now – is such a political and cultural chameleon.
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Congo reports over 50 deaths from mystery illness • The Washington Post
Vivian Ho:
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An unknown illness has killed 53 people in a northwestern region of the Democratic Republic of Congo, with a significant portion of deaths taking place within 48 hours of the onset of symptoms, according to the World Health Organization, which describes the outbreak as posing “a significant public health threat.”
At least 431 cases have been reported since January of individuals suffering from fever, vomiting, diarrhea, muscle aches, headaches and fatigue, according to the WHO’s Africa office. The illness — believed to have broken out in two separate villages in Équateur province — has a fatality rate of 12.3%, the WHO said.
Investigators traced the outbreak’s origin to the village of Boloko, where three children under the age of five died after reportedly eating a bat carcass, health officials said.
In addition to the other symptoms reported with this disease, the three children suffered symptoms similar to those of a hemorrhagic fever — bleeding from the nose and vomiting blood — before they died between Jan. 10 and Jan. 13.
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A disease caught from bats? But there are no Chinese laboratories nearby, this can’t have happened. Anyway, good to know that the US has stopped wasting money by cutting USAID budgets which monitored new zoonoses.
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Trump team weighs pulling funds for Moderna bird flu vaccine • Bloomberg via Yahoo
Madison Muller, Riley Griffin and Ike Swetlitz:
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US health officials are reevaluating a $590 million contract for bird flu shots that the Biden administration awarded to Moderna Inc., people familiar with the matter said.
The review is part of a government push to examine spending on messenger RNA-based vaccines, the technology that powered Moderna’s Covid vaccine. The bird flu shot contract was awarded to Moderna in the Biden administration’s final days, sending the company’s stock up 13% in the two days following the Jan. 17 announcement.
Shares of Moderna fell as much as 4% when US markets opened on Thursday. The company didn’t respond to a request for comment.
The US is in the midst of a record-breaking bird flu outbreak that’s affected dozens of cattle herds along with poultry flocks nationwide, sending egg prices soaring. While human cases have been relatively rare, the virus has caused deaths in the past, and experts are concerned that it could become more transmissible and dangerous.
“While it is crucial that the US Department and Health and Human Services support pandemic preparedness, four years of the Biden administration’s failed oversight have made it necessary to review agreements for vaccine production,” a spokesperson for HHS said in a written statement.
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Science? Never heard of it. This is driven by RFK Jr. The US is reverting to the 1950s in every respect, including its scientific understanding. Unfortunately, it’s the American citizenry that’s likely to pay the price of having an idiot in charge of their wider health. (Thanks Joe S for the link.)
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What would happen if a tiny black hole passed through your body? • Universe Today
Brian Koberlein:
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Some theoretical models argue that primordial black holes could be the source of dark matter. If that’s the case, observational limits constrain their masses to the 1013 – 1019 kg range, which is similar to the mass range for asteroids. Therefore, the study focuses on this range and looks at two effects: tidal forces and shock waves.
Tidal forces occur because the closer you get to a mass, the stronger its gravity. This means a black hole exerts a force differential on you as it gets near. So the question is whether this force differential is strong enough to tear flesh. Asteroid-mass black holes are less than a micrometer across, so even the tidal forces would cover a tiny area. If one passed through your midsection or one of your limbs, there might be some local damage, but nothing fatal. It would be similar to a needle passing through you.
But if the black hole passed through your head, that would be a different story. Tidal forces could tear apart brain cells, which would be much more serious. Since brain cells are delicate, even a force differential of 10 – 100 nanonewtons might kill you. But that would take a black hole at the highest end of our mass range.
Shockwaves would be much more dangerous. In this case, as a black hole entered your body, it would create a density wave that would ripple through you. These shockwaves would physically damage cells and transfer heat energy that would do further damage. To create a shockwave of energy similar to that of a 22-caliber bullet, the black hole would only need a mass of 1.4 x 1014 kg, which is well within the range of possible primordial black holes.
So yes, a primordial black hole could kill you.
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As Koberlein and the authors of an ArXiv paper on this topic concede, the idea was first considered by SF author Larry Niven in 1974.
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2003: IT Doesn’t Matter • Harvard Business Review
Nick Carr, writing in 2003:
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Some managers may worry that being stingy with IT dollars will damage their competitive positions. But studies of corporate IT spending consistently show that greater expenditures rarely translate into superior financial results. In fact, the opposite is usually true. In 2002, the consulting firm Alinean compared the IT expenditures and the financial results of 7,500 large U.S. companies and discovered that the top performers tended to be among the most tightfisted.
The 25 companies that delivered the highest economic returns, for example, spent on average just 0.8% of their revenues on IT, while the typical company spent 3.7%. A recent study by Forrester Research showed, similarly, that the most lavish spenders on IT rarely post the best results. Even Oracle’s Larry Ellison, one of the great technology salesmen, admitted in a recent interview that “most companies spend too much [on IT] and get very little in return.” As the opportunities for IT-based advantage continue to narrow, the penalties for overspending will only grow.
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This is a sort of corollary to the question yesterday about AI trying to find its killer app: what is it really useful for? Subscribers to Ben Thompson’s Stratechery would have read a long interview – more of a discussion – between Thompson and Benedict Evans in which they try to figure out what AI is best used for, and what the AI products of the future will look like. The answer seems to be “we don’t know yet, but it isn’t an empty box asking you to input text”.
In that sense, Carr’s essay could be updated and called AI Doesn’t Matter. And for completeness, Wendy Grossman points out that Thomas K Landauer wrote a 1995 book called “The Trouble with Computers: Usefulness, Usability and Productivity”, about the perceived “productivity paradox” of these new systems.
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| • Why do social networks drive us a little mad? • Why does angry content seem to dominate what we see? • How much of a role do algorithms play in affecting what we see and do online? • What can we do about it? • Did Facebook have any inkling of what was coming in Myanmar in 2016? Read Social Warming, my latest book, and find answers – and more. |
Errata, corrigenda and ai no corrida: none notified








