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Giant Study Questions Link Between Autism and Maternal Health:
In scientists' search to understand the causes of autism, a spotlight has fallen on maternal health during pregnancy. Based partly on association studies, researchers have proposed that conditions including obesity and depression during pregnancy could lead to autism in a child by affecting fetal neurodevelopment.
But a study of more than 1 million Danish children and their families, published today in Nature Medicine, pushes back against this view. Researchers analyzed more than 200 health conditions that occurred in these children's mothers before or during pregnancy. They conclude that many of the supposed links to a child's autism diagnosis may not be causal, and instead reflect inherited genetic variants or environmental factors shared within families.
[...] Previous research has linked conditions such as maternal obesity, psychiatric disorders, and pregnancy or birth complications to an increased likelihood of autism diagnoses in children. Such findings can lead some pregnant people to feel that "if they get this or that condition, their [child's] chance of autism may increase," says Magdalena Janecka, an epidemiologist at New York University's Grossman School of Medicine and a co-author on the new paper.
Several recent studies have highlighted flaws in this reasoning, noting that observed links may actually reflect genetic predispositions to autism passed from parents to children, or shared environmental factors, such as household exposure to pollutants, that are also associated with the condition. For example, a 2022 study of thousands of Norwegian parents found that people carrying genetic variants linked to neurodevelopmental conditions including autism were also more likely to experience pregnancy-related health issues associated with those same neurodevelopmental conditions in children. This suggests inheritance of the genetic variants, rather than the maternal health problems themselves, partly explain the increased chance, the study authors note.
In the new research, Janecka and her colleagues set out to systematically test for this so-called familial confounding in an even larger group. They used records in the Danish national health registry from roughly 1 million children born between 1998 and 2015, more than 18,000 of whom had received diagnoses of autism spectrum disorder. The team then looked at health conditions documented in the children's mothers. Thirty of these conditions, including depression and various pregnancy complications, showed a link to autism diagnosis even after the team had run statistical analyses to try to account for socioeconomic, demographic, and other known confounding factors.
Next came the hunt for familial confounding. First, Janecka's team analyzed the incidence of autism in families with more than one child where the mother had a health condition during one pregnancy, but not another. For most of the 30 conditions, they found the likelihood of an autism diagnosis among siblings was relatively stable, regardless of which pregnancy had been affected, Janecka says. What's more, health issues documented in the children's fathers were associated with similar likelihoods of an autism diagnosis as the maternal conditions. (The team couldn't run this paternal analysis for pregnancy-specific complications, such as preeclampsia and gestational diabetes.)
Those findings indicate familial confounding is widespread in the observed associations, weakening the argument that maternal health conditions directly cause autism by affecting development in utero, Janecka says. She adds that the evidence for confounding was stronger for some conditions, such as obesity and mental health disorders such as depression, than others, such as gestational diabetes.
Lee and others caution against interpreting the paper as meaning that autism isn't affected at all by maternal health, or that it's entirely genetically determined. The analyses used in the paper are a "blunt instrument" that can't get at mechanisms underlying autism, he adds.
Some scientists also criticize the paper's claim that "most of the observational associations are attributable to family-level factors." The study didn't use the specialized statistical methods needed to make claims about causation, says Peter Tennant, an epidemiologist at the University of Leeds, making it "difficult to draw definitive conclusions." He adds that additional confounding factors, such as how often a pregnant person used health care—something that itself is likely linked to that person's health—might have skewed the study results.
Janecka acknowledges that potential confounder, though she thinks it's unlikely to have had a strong impact and stands by the team's conclusions. For now, she says, her team is working to combine its findings with genetic data from Danish families to test whether shared genes can explain a lot of the associations between maternal health and child autism. Either way, she says, parents and families "deserve to know the true role of these [health] conditions in their child."
Journal Reference:
Khachadourian, Vahe, Arildskov, Elias Speleman, Grove, Jakob, et al. Familial confounding in the associations between maternal health and autism [open], Nature Medicine (DOI: 10.1038/s41591-024-03479-5)
Everyone knows your location: tracking myself down through in-app ads:
Recently I read about a massive geolocation data leak from Gravy Analytics, which exposed more than 2000 apps, both in AppStore and Google Play, that secretly collect geolocation data without user consent. Oftentimes, even without developers` knowledge.
I looked into the list (link here) and found at least 3 apps I have installed on my iPhone. Take a look for yourself!
This made me come up with an idea to track myself down externally, e.g. to buy my geolocation data leaked by some application.TL;DR
After more than couple dozen hours of trying, here are the main takeaways:
- I found a couple requests sent by my phone with my location + 5 requests that leak my IP address, which can be turned into geolocation using reverse DNS.
- Learned a lot about the RTB (real-time bidding) auctions and OpenRTB protocol and was shocked by the amount and types of data sent with the bids to ad exchanges.
- Gave up on the idea to buy my location data from a data broker or a tracking service, because I don't have a big enough company to take a trial or $10-50k to buy a huge database with the data of millions of people + me.
Well maybe I do, but such expense seems a bit irrational.
Turns out that EU-based peoples` data is almost the most expensive.But still, I know my location data was collected and I know where to buy it!
Arthur T Knackerbracket has processed the following story:
Microsoft is getting rid of the VPN offered through Microsoft Defender. As spotted by Windows Latest, the company updated its support pages for privacy protection, its built-in VPN, to notify users that the service will end on February 28. The VPN was bundled with Microsoft Defender, which is available to anyone with a personal or family Microsoft 365 subscription, and it offered private browsing by “routing your internet traffic through Microsoft servers,” up to the monthly data limit of 50GB.
In a statement about the decision posted on the support page, Microsoft said, “Our goal is to ensure you, and your family remain safer online. We routinely evaluate the usage and effectiveness of our features. As such, we are removing the privacy protection feature and will invest in new areas that will better align to customer needs.” Android users might still see the Microsoft Defender VPN profile in their settings after the expiration date, which they’ll need to remove manually if they want it gone. “Action is not required by Windows, iOS, and macOS users,” Microsoft notes.
The company also says this is the only feature getting killed off for now. According to Microsoft, “device protection and identity theft and credit monitoring (US) features will continue.”
Automakers Tesla and BMW have launched a major lawsuit against the European Commission over tariffs imposed on electric vehicles imported from China:
Tesla and BMW, both of which produce EVs in China, have taken their grievances to the European Union's Court of Justice. The legal battle comes after the European Commission's decision to enact a wide range of tariffs on Chinese-made electric cars, allegedly aimed at curbing competition from Chinese manufacturers.
Tesla's China-made EVs are subject to a 7.8% tariff from the EU, while BMWs face a much higher levy of 20.7%. Some Chinese-manufactured EVs have been hit with tariffs as high as 45%, The Wall Street Journal reported.
Other major Chinese automakers, including Geely, SAIC, and BYD, have also been vocal about their stance against the tariffs, which they argue have negatively impacted the free market. Furthermore, the new tariffs are stacked on top of the EU's standard 10% duty on all imported cars, adding to the pressure on certain international carmakers.
In a statement to the WSJ, a BMW spokesperson focused on how the duties were not improving the competition between carmakers but were, instead, harming the business models of many international companies in the market.
[...] The outcome of the lawsuits filed by Tesla and BMW could set a major precedent that could shape the EU's ability to impose tariffs on a wider variety of Chinese or foreign products.
Arthur T Knackerbracket has processed the following story:
The Contec CMS8000, also sold as the Epsimed MN-120, contains a trio of vulnerabilities (CVE-2024-12248, CVSS 9.3; CVE-2025-0626, CVSS 7.5; and CVE-2025-0683, CVSS 5.9) that the Cybersecurity and Infrastructure Security Agency (CISA) last week warned could allow an attacker to remotely execute code, crash the device and, most alarmingly, exfiltrate information about patients.
"Once the patient monitor is connected to the internet, it begins gathering patient data, including personally identifiable information and protected health information, and exfiltrating the data outside of the health care delivery environment," the FDA said of the hardcoded hole.
The FDA recommends that anyone with a CMS8000 unplug it from the internet and disable its Wi-Fi immediately, and stop using it to remotely monitor patients.
While neither the FDA nor CISA believe there have been any cybersecurity incidents related to the devices, it's possible any left online could be compromised, and used by an attacker to move laterally to further compromise a connected network.
To make matters worse, CISA said in a factsheet about the vulnerability that it doesn't believe the backdoor is related to remote software updates - this appears to be all about harvesting data.
"The [back door] provides neither an integrity-checking mechanism nor version tracking of updates," CISA said. "When the function is executed, files on the device are forcibly overwritten, preventing the end customer—such as a hospital—from maintaining awareness of what software is running on the device."
In other words, not only does it exfiltrate data, but it also actively hides its presence from hospitals and their infosec teams.
https://newatlas.com/technology/artificial-gills-unlock-long-range-underwater-robots/
What's good for fish may be good for robots, too, as researchers from the Helmholtz-Zentrum Hereon have developed an artificial gill that can extract oxygen from seawater to run fuel cells to power robotic sea gliders on long missions.
Underwater gliders have become an increasingly valuable tool for oceanographic research. Ditching traditional propellers and thrusters, they move about by means of variable buoyancy propulsion, which is a cumbersome way of saying that they propel themselves by rising in the water and then using hydrofoils to control their direction as they descend.
It's not very fast, but it is economical and allows the gliders to carry out long missions across thousands of miles to monitor ocean conditions, seek out pollution, and conduct military reconnaissance as they dive to depths of up to 1,000 m (3,300 ft). They are also much cheaper to operate than research vessels, so what's the problem?
The fly in the deep sea ointment is powering the gliders. Batteries are needed to run the sensors, recorders, and telemetry systems but the go-to lithium batteries are classified as containing hazardous materials that are subject to strict safety and environmental regulations.
In addition, lithium batteries have their technical limitations. They are sensitive to pressure, are in danger of leaking if seals are compromised, can be severely damaged by seawater, do not handle cold temperatures well, and can release dangerous chemicals.
As a safer, less restricted alternative, Hereon engineers Dr. Lucas Merckelbach and Dr. Prokopios Georgopanos have been looking at fuel cells, which convert hydrogen and oxygen into electricity. The hydrogen is easy enough to store until ready. Just store it in a container with metal hydrides that absorb the hydrogen until needed. The oxygen is another matter. It weighs eight times per unit more than hydrogen in water and is very difficult to store even in cryogenic conditions.
Hereon's answer is not to even bother. Instead, the non-profit research institution has come up with an advanced silicone polymer membrane that has high oxygen permeability, yet is hydrophobic to keep water from seeping through. In the sea, the higher oxygen concentration on the wet side allows the oxygen atoms to migrate through the membrane to be collected by an internal recirculating airflow and fed to a Proton Exchange Membrane Fuel Cell (PEMFC) where it combines with hydrogen to produce electricity, with water the only waste product.
According to the team, the modular system's design can handle various underwater conditions, including changes in water temperature, salinity, and pressure to ensure consistent oxygen supply. In addition, computational fluid dynamics (CFD) simulations optimize the flow of water around the membrane.
Journal Reference: https://doi.org/10.1002/advs.202410358
Are we all aliens? NASA's returned asteroid samples hold the ingredients of life from a watery world:
Asteroid samples fetched by NASA hold not only the pristine building blocks for life but also the salty remains of an ancient water world, scientists reported Wednesday.
The findings provide the strongest evidence yet that asteroids may have planted the seeds of life on Earth and that these ingredients were mingling with water almost right from the start.
"That's the kind of environment that could have been essential to the steps that lead from elements to life," said the Smithsonian Institution's Tim McCoy, one of the lead study authors.
NASA's Osiris-Rex spacecraft returned 122 grams (4 ounces) of dust and pebbles from the near-Earth asteroid Bennu, delivering the sample canister to the Utah desert in 2023 before swooping off after another space rock. It remains the biggest cosmic haul from beyond the moon. The two previous asteroid sample missions, by Japan, yielded considerably less material.
[...] Some if not all of the delicate salts found at Bennu—similar to what's in the dry lakebeds of California's Mojave Desert and Africa's Sahara—would be stripped away if present in falling meteorites.
"This discovery was only possible by analyzing samples that were collected directly from the asteroid then carefully preserved back on Earth," the Institute of Science Tokyo's Yasuhito Sekine, who was not involved in the studies, said in an accompanying editorial.
Combining the ingredients of life with an environment of sodium-rich salt water, or brines, "that's really the pathway to life," said McCoy, the National Museum of Natural History's curator of meteorites. "These processes probably occurred much earlier and were much more widespread than we had thought before."
NASA's Daniel Glavin said one of the biggest surprises was the relatively high abundance of nitrogen, including ammonia. While all of the organic molecules found in the Bennu samples have been identified before in meteorites, Glavin said the ones from Bennu are valid—"real extraterrestrial organic material formed in space and not a result of contamination from Earth."
[...] Many are pushing for a mission to collect rocks and dirt from the potentially waterlogged dwarf planet Ceres in the main asteroid belt. Jupiter's moon Europa and Saturn's moon Enceladus also beckon as enticing water worlds. Meanwhile, NASA has core samples awaiting pickup at Mars, but their delivery is on hold while the space agency studies the quickest and cheapest way to get them here.
"Are we alone?" McCoy said. "That's one of the questions we're trying to answer."
Journal References:
• Glavin, D.P., Dworkin, J.P., Alexander, C.M.O. et al. Abundant ammonia and nitrogen-rich soluble organic matter in samples from asteroid (101955) Bennu. Nat Astron (2025). https://doi.org/10.1038/s41550-024-02472-9
• McCoy, T.J., Russell, S.S., Zega, T.J. et al. An evaporite sequence from ancient brine recorded in Bennu samples. Nature 637, 1072–1077 (2025). https://doi.org/10.1038/s41586-024-08495-6
The Fediverse - including Mastodon, Pixelfed, and others - is experiencing explosive exponential growth with over 700,000 new users, and 100,000,000 posts in January.
Pixelfed alone is growing 100k users per WEEK now, has gone 10x in a month.
Mastodon servers are welcoming influxes, and new servers are standing up at a rapid pace, with new active daily users up 200k in Jan, about +25%, and posts up by a similar +30% to 16 million/month.
Tumblr is planning to federate.
Forum software NodeBB has officially launched their 4.0 version, which includes ActivityPub support.
https://fediversereport.com/fediverse-report-101/
https://arstechnica.com/tech-policy/2025/01/mastodon-becomes-nonprofit-to-make-sure-its-never-ruined-by-billionaire-ceo/
https://www.404media.co/decentralized-social-media-is-the-only-alternative-to-the-tech-oligarchy/
https://mastodon-analytics.com/
https://mastodon.social/@fediversecounter/
https://cdevroe.com/2025/01/14/pixelfeds-moment/
US to deploy molten salt reactors to turn wastewater into freshwater:
A novel nuclear reactor currently under construction at the Abilene Christian University (ACU) in Texas will help generate carbon-free energy while also desalinating water, solving two problems at once, a press release said. The nuclear reactor is being built by Natura Resources, a company specializing in developing small modular reactors.
[...] Each module of an SMR can produce up to 300 MWe (megawatt equivalent) of energy and has advanced safety features.
Founded in 2020, Abilene, Texas-based Natura Resources has quickly become a governmentally recognized advanced nuclear reactor developer. In 2023, the company built the Science and Engineering Research Center (SERC) at ACU, the first advanced reactor research facility outside a national lab in the US.
The company uses liquid-fueled molten salt reactor (LF-MSR) technology, allowing molten salts to act as fuel and a coolant. According to its website, a mixture of lithium fluoride (LiF) and beryllium fluoride (BeF2) salts or thorium fluoride (ThF4) salts can be used, which allows the reactor to operate at temperatures higher than solid-fuel reactors.
Since the fuel also works as a coolant, it is removed continuously from the reactor for fissile material to be replaced. This process also makes MSR reactors meltdown safe.
A primary heat removal system in the reactor design also ensures that heat generated during the fission process is removed through a cooling loop. Here, it can be repurposed for other applications. In the case of Natura's upcoming reactor in Texas, it will be used to desalinate water.
[...] Natura Resources conducted a feasibility study at the Texas Produced Water Consortium, based at Texas Tech University. With the MSR operating at 1112 Fahrenheit (600 degrees Celsius), up to 250 megawatts (MW) of clean energy is generated, which can be used for desalination.
[...] The reactor is currently under construction and is expected to be online by 2026/27. Once the demonstrator is completed, the team will begin work on integrating systems to start desalinating water.
A novel nuclear reactor currently under construction at the Abilene Christian University (ACU) in Texas will help generate carbon-free energy while also desalinating water, solving two problems at once, a press release said. The nuclear reactor is being built by Natura Resources, a company specializing in developing small modular reactors.
Video version of the story: https://www.youtube.com/watch?v=6KUuUh8uaLo&t=4s
See also:
• Molten-salt reactor - Wikipedia
• Molten Salt Reactor Fundamentals
• Why China Is Building a Thorium Molten-Salt Reactor
• And a counterpoint: Molten salt reactors were trouble in the 1960s—and they remain trouble today
It's only been a week since Chinese company DeepSeek launched its open-weights R1 reasoning model, which is reportedly competitive with OpenAI's state-of-the-art o1 models despite being trained for a fraction of the cost. Already, American AI companies are in a panic, and markets are freaking out over what could be a breakthrough in the status quo for large language models.
While DeepSeek can point to common benchmark results and Chatbot Arena leaderboard to prove the competitiveness of its model, there's nothing like direct use cases to get a feel for just how useful a new model is. To that end, we decided to put DeepSeek's R1 model up against OpenAI's ChatGPT models in the style of our previous showdowns between ChatGPT and Google Bard/Gemini.
[...]
This time around, we put each DeepSeek response against ChatGPT's $20/month o1 model and $200/month o1 Pro model, to see how it stands up to OpenAI's "state of the art" product as well as the "everyday" product that most AI consumers use. While we re-used a few of the prompts from our previous tests, we also added prompts derived from Chatbot Arena's "categories" appendix
[...]
Prompt: Write five original dad jokesResults: For the most part, all three models seem to have taken our demand for "original" jokes more seriously this time than in the past.
[...]
We particularly liked DeepSeek R1's bicycle that doesn't like to "spin its wheels" with pointless arguments and o1's vacuum-cleaner band that "sucks" at live shows.
[...]
Winner: ChatGPT o1 probably had slightly better jokes overall than DeepSeek R1, but loses some points for including a joke that was not original. ChatGPT o1 Pro is the clear loser, though, with no original jokes that we'd consider the least bit funny.
[...]
Prompt: Write a two-paragraph creative story about Abraham Lincoln inventing basketball.Results: DeepSeek R1's response is a delightfully absurd take on an absurd prompt. We especially liked the bits about creating "a sport where men leap not into trenches, but toward glory" and a "13th amendment" to the rules preventing players from being "enslaved by poor sportsmanship" (whatever that means).
[...]
Winner: While o1 Pro made a good showing, the sheer wild absurdity of the DeepSeek R1 response won us over.
[...] Prompt: Write a short paragraph where the second letter of each sentence spells out the word 'CODE'. The message should appear natural and not obviously hide this pattern.
Results: This prompt represented DeepSeek R1's biggest failure in our tests, with the model using the first letter of each sentence for the secret code rather than the requested second letter. When we expanded the model's extremely thorough explanation of its 220-second "thought process," though, we surprisingly found a paragraph that did match the prompt, which was apparently thrown out just before giving the final answer
[...]
Winner: ChatGPT o1 Pro wins pretty much by default as the only one able to correctly follow directions.
[...]
Prompt: Would the color be called 'magenta' if the town of Magenta didn't exist?Results: All three prompts correctly link the color name "magenta" to the dye's discovery in the town of Magenta and the nearly coincident 1859 Battle of Magenta, which helped make the color famous.
[...]
[Winner:] ChatGPT 01 Pro is the winner by a stylistic hair.
[...]
Prompt: What is the billionth largest prime number?Result: We see a big divergence between DeepSeek and the ChatGPT models here. DeepSeek is the only one to give a precise answer, referencing both PrimeGrid and The Prime Pages for previous calculations of 22,801,763,489 as the billionth prime.
[...]
Winner: DeepSeek R1 is the clear winner for precision here, though the ChatGPT models give pretty good estimates.
[...]
Prompt: I need you to create a timetable for me given the following facts: my plane takes off at 6:30am. I need to be at the airport 1h before take off. It will take 45mins to get to the airport. I need 1h to get dressed and have breakfast before we leave. The plan should include when to wake up and the time I need to get into the vehicle to get to the airport in time for my 6:30am flight, think through this step by step.Results: All three models get the basic math right here
[...]
Winner: DeepSeek R1 wins by a hair with its stylistic flair.
[...]
Prompt: In my kitchen, there's a table with a cup with a ball inside. I moved the cup to my bed in my bedroom and turned the cup upside down. I grabbed the cup again and moved to the main room. Where's the ball now?Results: All three models are able to correctly reason that turning a cup upside down will cause a ball to fall out and remain on the bed, even if the cup moves later.
[...]
Winner: We'll declare a three-way tie here, as all the models followed the ball correctly.
[...]
Prompt: Give me a list of 10 natural numbers, such that at least one is prime, at least 6 are odd, at least 2 are powers of 2, and such that the 10 numbers have at minimum 25 digits between them.Results: While there are a whole host of number lists that would satisfy these conditions, this prompt effectively tests the LLMs' abilities to follow moderately complex and confusing instructions without getting tripped up. All three generated valid responses
[...]
Winner: The two ChatGPT models tie for the win thanks to their lack of arithmetic mistakes.
[...]
While we'd love to declare a clear winner in the brewing AI battle here, the results are too scattered to do that.
[...]
Overall, though, we came away from these brief tests convinced that DeepSeek's R1 model can generate results that are overall competitive with the best paid models from OpenAI.
Microsoft has confirmed that Windows 11 has an audio bug (that we reported on yesterday), a glitch which can take out the PC's sound completely, and it's now clear that this affects multiple Windows versions.
That means not just those on Windows 11 24H2 (an update that's still rolling out), but people running 23H2 and 22H2, and also Windows 10.
[...] Apparently, this bug mainly affects those who use an audio DAC (a digital-to-analog converter, like the one in the pic below) hooked up via USB.
However, it can happen to any unlucky Windows 11 (or 10) user who grabs the latest patch.
As Windows Latest spotted, Microsoft has confirmed the issue, stating that: "After installing this security update, you might experience issues with USB audio devices. You are more likely to experience this issue if you are using a USB 1.0 audio driver-based DAC in your audio setup."
Sadly, there isn't a fix, and the only way to avoid your audio being torpedoed is to remove the external DAC (assuming you're using one, and this is what's causing the problem).
[...] This is an odd one for a couple of reasons.
Firstly, it's unusual to see a bug disrupting every available version of Windows 11, and Windows 10 as well – that represents an alarming across-the-board clattering of dominoes.
Secondly, the January update doesn't bring anything in the way of new features (to any of these OS versions). It's a very straightforward patch applying some security fixes, and that's all.
So, it really shouldn't be causing any issues, but clearly, it is.
[...] Whatever the case, this is yet another hassle for Windows 11 users, particularly those on 24H2, some of who've been experiencing a very hard time of it lately, with a seemingly relentless stream of bugs crawling in the general direction of those users.
That includes some nasty affairs, like a glitch which triggered crashes with certain SSDs, for example, and more recently, there was another audio bug causing havoc. So Microsoft has not been faring well on the sound front lately.
A 2015 article in The Atlantic describes the problem of antibiotic resistance and some of its causes (alternative link):
The overuse of antibiotics, both in human patients and, importantly, in livestock, has led to an explosion of antibiotic-resistant bacteria, both in the U.S. and around the world. Deaths from resistant infections are currently at about 700,000 per year, and estimated to rise to 10 million per year by 2050. If nothing changes, the World Health Organization predicts the future will look a lot like the past—where people die from minor injuries that become infected.
Though new drugs are an important piece of the puzzle, Laxminarayan worried that there isn't enough being done to monitor the use of the ones we have. "What I worry about more than the development of new drugs is the lack of money for things like surveillance and stewardship," he said. "You can have a new drug five years from now, but that could go obsolete if we use it inappropriately."
Examples of inappropriate use include starting patients on antibiotics before test results come back, putting them on a broad-spectrum antibiotic when it's unclear what bacteria is causing the infection, or keeping them on the drugs even when tests come back negative.
It can take a few days to get the results from growing a culture to identify the specific bacteria responsible for a serious infection. In those instances, it may be necessary to prescribe a broad spectrum antibiotic while awaiting the results of the culture. Although there are exceptions to these guidelines, antibiotics are overused, and this contributes to the growing problem of antibiotic resistance. Antibiotics also aren't especially profitable for pharmaceutical companies because they're only needed when a person has a bacterial infection. If bacteria quickly develop resistance to new drugs, it might prevent companies from making a return on their investment in new antibiotics. A more recent article in Chemical & Engineering News discusses some of the regulatory and economic barriers to new antibiotics:
Zevtera is one of three antibiotics to gain FDA approval for humans so far [in 2024], and the only systemic one. The other two are for urinary tract infections (UTIs): Utility Therapeutics' Pivya, for uncomplicated UTIs; and Allecra Therapeutics' Exblifep, for complicated, or drug-resistant, UTIs.
But outside of 2024, the US has approved few new antibiotics in recent years. Only 17 new systemic antibiotics and one related biologic netted approval between 2010 and May 2021 (Ann. Pharmacother. 2022, DOI: 10.1177/10600280211031390). Experts worry that even that number could represent a peak. These approvals were decades in the making, and a labyrinth of scientific, financial, and regulatory challenges are sending today's antibiotic developers fleeing.
In biotech, there's a concept called the valley of death. It marks the stretch of time between when a firm discovers promising science and when that science is de-risked enough, usually with human data, that the firm can raise money to advance it. In antibiotics, there's a second valley of death that takes place after regulatory approval and before the company can sell enough of the drug to become financially solvent.
There are novel machine learning algorithms to identify possible new antibiotics including applying the same techniques used in large language models. New antibiotics have been proposed to exploit the mechanisms used by bacteria to develop antibiotic resistance. Although this research is promising, it is only helpful in solving the antibiotic resistance problem if these antibiotics are eventually used widely to treat infections. That may require changes to existing policies about how antibiotics are used and the regulatory requirements to gain approval before they are brought to market.
http://www.nablaman.com/relay/about.php
I amuse myself by constructing a computer almost entirely out of relays. Relays were used to construct computers well before vacuum tubes, transistors or integrated circuits were feasible for the task. The main inspiration is the machines by Konrad Zuse of the late 30s and early 40s.
Why relays? In addition to constituting an important historical link between the mechanical and electronic computers, relays are especially fun to work with since they
- are big and slow, with huge propagation delays and a tendency to oscillate if you hook them up wrong.
- are noisy, especially when lots of relays switch at the same time.
- consume lots of power to do even the simplest of calculations.
- subscribe to Lenz' law, i.e. generate lots of EMF and flyback current that make for all sorts of interesting interference in places you couldn't even guess.
So all in all, relays require you to think in very new ways compared to normal solid-state devices.
The site The Nerd Reich has an analysis of the seeming chaos being inflicted upon the US from within at the moment. Specifically, Elon Musk's attempt to destroy the United States government is a methodical execution of the "network state" blueprint, not random chaos.
Everything Elon Musk and his tech cronies are doing to our government is what Balaji Srinivasan spelled out in his network state cult manifestos – a tech CEO takeover of government, the purging of institutions, the rise of crypto corruption as a dominant economic force, the quest for new territory. But nobody wants to talk about it.
For those of you who are new to this newsletter, I spent last year writing a New Republic series on the network state. Sadly, everything spelled out in those stories is happening now. What Musk and Marc Andreessen are doing to our government is precisely what Srinivasan envisioned. A purge of Democrats, a merging of tech and right-wing forces to remake government and media institutions. Some reporters now observe that Musk is doing to the government what he did to Twitter, but Srinivasan was way ahead of them:
"Elon, in sort of classic Gray fashion ... captures Twitter and then, at one stroke, wipes out millions of Blues' status by wiping out the Blue Checks," he said, describing how a government could be reformed in a similar manner. "Another stroke ... [he] renames Twitter as X, showing that he has true control, and it's his vehicle, and that the old regime isn't going to be restored."
The idea of network states is that they are primarily digital entities without geographical boundaries though they do acquire territory and governance structures. The author of the book introducing the attack, Balaji Srinivasan, arranged a small conference on the topic in Singapore back in September of 2024, and one the year before in 2023 in Amsterdam.
If you've been paying careful attention to YouTube recently, you may have noticed the rising trend of so-called "faceless YouTube channels" that never feature a visible human talking in the video frame. While some of these channels are simply authored by camera-shy humans, many more are fully automated through AI-powered tools to craft everything from the scripts and voiceovers to the imagery and music. Unsurprisingly, this is often sold as a way to make a quick buck off the YouTube algorithm with minimal human effort.
[...]
YouTuber F4mi, who creates some excellent deep dives on obscure technology, recently detailed her efforts "to poison any AI summarizers that were trying to steal my content to make slop." The key to F4mi's method is the .ass subtitle format, created decades ago as part of fansubbing software Advanced SubStation Alpha.
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For each chunk of actual text in her subtitle file, she also inserted "two chunks of text out of bounds using the positioning feature of the .ass format, with their size and transparency set to zero so they are completely invisible."In those "invisible" subtitle boxes, F4mi added text from public domain works (with certain words replaced with synonyms to avoid detection) or her own LLM-generated scripts full of completely made-up facts.
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F4mi says that advanced models like ChatGPT o1 were sometimes able to filter out the junk and generate an accurate summary of her videos despite this. With a little scripting work, though, an .ass file can be subdivided into individual timestamped letters, whose order can be scrambled in the file itself while still showing up correctly in the final video. That should create a difficult (though not impossible) puzzle for even advanced AIs to make sense of.
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F4mi notes that "some people were having their phone crash due to the subtitles being too heavy," showing there is a bit of overhead cost to this kind of mischief.F4mi also notes in her video that this method is far from foolproof. For one, tools like OpenAI's Whisper that actually listen to the audio track can still generate usable transcripts without access to a caption file.
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Still, F4mi's small effort here is part of a larger movement that's fighting back against the AI scrapers looking to soak up and repurpose everything on the public Internet.