Commentary on the study led by Ziyad Al-Aly at the Washington University School of Medicine from an Aussie immunologist —
the researchers found that the risk of heart, brain, kidney and blood complications all increased with each subsequent infection. As Goodnow has noted about the findings, “The risk of cardiovascular disease, for example, increased after one infection, but doubled in people who had two infections, and tripled in those who had been infected thrice.” Similar risks were found for heart disease, blood clotting problems, brain decline and diabetes. Nor did vaccines seem to help in preventing these problems, which most frequently occur up to six months after infection. “Every time you dip your bucket in that COVID well, you’ve got the same chance of a whole lot of bad things happening,” explained Goodnow, who considers the veterans study “really important real-world data.” His takeaway: “COVID-19 is not just a cold, and having it before doesn’t ‘get it over with.’”
The British Medical Journal’s set of guidelines for GPs and primary care providers on how to help long covid sufferers — gives a good idea of the current state of affairs for this tricky syndrome.
What you need to know: Long covid (prolonged symptoms following covid-19 infection) is common; The mainstay of management is supportive, holistic care, symptom control, and detection of treatable complications; Many patients can be supported effectively in primary care by a GP with a special interest.
Justin Mason's Weblog Posts
Our results show that in the postacute phase of COVID-19, there was increased risk of an array of incident neurologic sequelae including ischemic and hemorrhagic stroke, cognition and memory disorders, peripheral nervous system disorders, episodic disorders (for example, migraine and seizures), extrapyramidal and movement disorders, mental health disorders, musculoskeletal disorders, sensory disorders, Guillain–Barré syndrome, and encephalitis or encephalopathy. We estimated that the hazard ratio of any neurologic sequela was 1.42 (95% confidence intervals 1.38, 1.47) and burden 70.69 (95% confidence intervals 63.54, 78.01) per 1,000 persons at 12 months. The risks and burdens were elevated even in people who did not require hospitalization during acute COVID-19.
Nice terminology — similar to the “thundering herd” problem seen in distributed systems. “A type of cascading failure that can occur when massively parallel computing systems with caching mechanisms come under very high load. This behaviour is sometimes also called dog-piling”
Where we are with COVID boosters:
There’s ample evidence that a 3rd shot or 4th shot (1st or 2nd booster) will help provide important protection, and that is especially vital for people age 50+, with ample support for the recommendation for all age 12 and older to get boosters. The right question is about the 5th booster, for which there are no clinical data yet, but will likely extend a high level of protection against severe Covid. But 4 or 6 months isn’t going to cut it as a public health protection policy, as there will be further attrition of interest and uptake for boosters as we go forward. Fortunately, we’re declining in cases and will likely experience a fairly quiescent phase (further descent, no surge) with respect to infections and hospitalizations for the next couple of months until BA.2.75.2 gets legs (or an alternative BA.2 derivative). Now is the time to stop chasing SARS-CoV-2 and start mounting an aggressive get- ahead strategy. There’s the intertwined triad to contend with: more immune escape, more evidence of imprinting, and the inevitability of new variants that are already laying a foundation for spread. Enough of the booster after booster, shot-centric approach; it has been formidable, lifesaving, sickness-avoiding, and essential as a bootstrap, temporizing measure. Now we need to press on with innovation for more durable, palatable, and effective solutions. They are in our reach.
‘Fix Twitter video embeds in Discord (and Telegram)’ — work around bugs in those platforms which break Twitter embedding. Just replace ‘twitter.com’ with ‘vxtwitter.com’ and problem solved
‘a modern OSS Key-Value store built for today’s hardware’, looks nicely optimized
Postgres distributed scaler software now fully OSS
LinkedIn are using Pinot for this use case, with a super-low-latency querying requirement:
InFlow requires storage of tens of TBs of data with a retention of 30 days. To support its real-time troubleshooting use case, the data must be queryable in real-time with sub-second latency so that engineers can query the data without any hassles during outages. For the storage layer, InFlow leverages Apache Pinot.
‘As AI-generated art platforms like DALL-E 2, Midjourney, and Stable Diffusion explode in popularity, online communities devoted to sharing human-generated art are forced to make a decision: should AI art be allowed?’ This makes sense, IMO — or at least sideline them to their own parts of the forum… (via Waxy)
“I discovered this woman, who I call Loab, in April. The AI reproduced her more easily than most celebrities. Her presence is persistent, and she haunts every image she touches. CW: Take a seat. This is a true horror story, and veers sharply macabre.” Top-notch creepypasta, and/or real-world creepiness; either a ghost in the codec as Hari Kunzru would put it, or — let’s face it — AI’s haunted
LOL, this is madness. Move fast and forget everything:
In the March 2022 hearing, Zarashaw and Steven Elia, a software engineering manager, described Facebook as a data-processing apparatus so complex that it defies understanding from within. The hearing amounted to two high-ranking engineers at one of the most powerful and resource-flush engineering outfits in history describing their product as an unknowable machine. […] The fundamental problem, according to the engineers in the hearing, is that […] the company never bothered to cultivate institutional knowledge of how each of these component systems works, what they do, or who’s using them.
Various AWS queueing/messaging services’ latencies compared in eu-west-1: ‘When latency matters, there are a few obvious winners. SQS Standard can deliver a message to a consumer in as fast as 14 ms and is seldomly slower than 100 ms, assuming low batch sizes. Kinesis with Enhanced Fan-Out is only slightly slower and allows for multiple consumers and a long history of events. SNS falls in the low latency category too, although the SNS FIFO option includes more moving parts and thus a larger latency spread, up to half a second. Step Functions and DynamoDB Streams take up the middle section, with P50 latencies up to about 200 ms. The highest latency is introduced by EventBridge and Kinesis Data Streams without Enhanced Fan-Out. These services add at least a few hundred milliseconds to your integrations, but can easily run up to a second or more.’
home energy monitoring using HomeAssistant, MQTT, and a set of power-monitoring smart plugs preflashed with the open Tasmota firmware. This is all very practical, and the power-socket-based approach means no rewiring is necessary. I think this is the best UI I’ve seen so far for a home energy optimization system
tl;dr: “Lithium-ion and lithium-polymer batteries should be kept at charge levels between 30% and 70% at all times. Full charge/discharge cycles should be avoided if possible. Exceptions to this can be made occasionally to readjust the charge controller and battery capacity meter. Modern batteries do not have to be conditioned, and are at peak capacity out of the box. If you need to store batteries for long time periods you should charge them to roughly half their capacity and put them in the fridge. Very high and very low temperatures should be avoided, particularly while charging. When choosing a charger quality is key, and high quality chargers are by and large interchangeable.”
EFF post on a data broker being misused by US police for warrantless “dragnet” surveillance:
Fog claims that their product is made of [location] data willingly given by people. But people did not hand their geolocation data over to Fog or the police, willingly or even knowingly. Rather, they gave it over, for example, to a weather app so that they could see if it will rain in their town today. When they downloaded the app, they may have clicked a box purporting to grant various so-called “consents,” but no reasonable person expects this will result in the app tracking all their movements, the app developer selling this sensitive information to a data broker, and police ultimately buying it.and this is why the GDPR is so valuable.
This is some fantastic symmetry! Years ago, I took the BLAST bioinformatics algorithm, normally used to spot correlations between DNA/RNA sequences, and applied it to correlate and detect spam. And now here’s UMAP, an algorithm used to correlate and detect malware and viruses, going in the opposite direction!
When mathematicians Leland McInnes and John Healy walked into their work’s annual “Big Dig” — a sort of classified hackathon for Canada’s version of the National Security Agency — in 2017, they were not thinking about biology at all. They wanted to find a way to quickly spot the differences between computer viruses. They ended up creating a tool to simplify datasets and visualize the data points in them: an algorithm they named Uniform Manifold Approximation and Projection, or UMAP. They published a paper on it in 2018. To their great surprise, in fewer than five years, it has become one of the most ubiquitous tools in modern biology research. UMAP has now been used to study everything from forecasting rain in the Alps to identifying the many-hued pigments in a Gauguin artwork to modeling how Covid-19 tweets are disseminated. And, of course, scientists have applied UMAP to studying the actual virus itself. The technique is now the method of choice for most computational biologists who want to see what, exactly, is going on in a dataset.
Solid tip from Nitsan Wakart on Twitter:
If you are profiling for a CPU bottleneck [in java], DO NOT RELY ON JVM FLIGHT RECORDER METHOD PROFILING. Not even a little bit. Use `async-profiler` for profiling(`-e cpu,lock,alloc`), with `–jfrsync default/profile` for extra JVM/JDK events.
I had no idea that the beer slushy had been so perfected in Japan:
In March 2012, Kirin pushed beer even closer to Arctic climes with the Ichiban Shibori Frozen Draft: a draft beer topped with a multi-inch-thick angelic swirl of marshmallow fluff-like frozen foam. At that time, ice-cold beer was booming in Japan, says Tsuneo Mitsudomi, president of Kirin Brewery of America, and Kirin sought its own take on the trend that also served a practical purpose. Inspired by a frozen smoothie machine found in Italy, Kirin lab techs developed technology capable of whipping up beer—yes, 100 percent beer—into a froyo-like state. “We focused on the function which can keep beer cold, and magical looks,” Mitsudomi says. Kirin spent roughly five years perfecting the texture and temperature (23 degrees Fahrenheit) of its frozen foam. An unorthodox lid, the layer of frozen foam not only prevents carbonation from quickly escaping, but also insulates the glass for 30 minutes, more time than it takes to polish off the average pint.Also “jelly beer”, excellent tech from Thailand:
At Uncle Boons, the beer slushy takes the form of bia wun, or jelly beer. Unlike other beer slushies, jelly beer is shaped and served in the bottle. A motorized barrel sourced from Thailand is filled with ice, water and salt, the bottles placed within. The whole apparatus gently rocks back and forth with the enthusiasm of a small dingy to agitate its contents. The salted water drops to 27 degrees, while the pressure inside the bottle keeps the beer from freezing over and exploding. Once the beer is removed from the barrel, the bottle is given a shake, then a sharp tap, and ice crystals begin to form within. As the cap is removed, the beer starts to froth and foam, freezing over in a molecular equation most often described as magic.
On a larger scale, Google Cloud is already at 100% carbon neutrality, apparently via offsets and a few other accounting approaches, with a goal to move to 100% renewable energy for all cloud regions by 2030. Meanwhile, AWS’s carbon footprint tool is an embarrassment to AWS and its stated goal of reaching 100% renewable energy usage by 2025. The bottom line: One of these carbon neutrality approaches is indicative of a thoughtful approach to partnering with customers to lead to a better climate story around cloud usage. The other appears to have been phoned in by clowns the night before it was due.
The world is awash in bullshit. Politicians are unconstrained by facts. Science is conducted by press release. Higher education rewards bullshit over analytic thought. Startup culture elevates bullshit to high art. Advertisers wink conspiratorially and invite us to join them in seeing through all the bullshit — and take advantage of our lowered guard to bombard us with bullshit of the second order. The majority of administrative activity, whether in private business or the public sphere, seems to be little more than a sophisticated exercise in the combinatorial reassembly of bullshit. We’re sick of it. It’s time to do something, and as educators, one constructive thing we know how to do is to teach people. So, the aim of this course is to help students navigate the bullshit-rich modern environment by identifying bullshit, seeing through it, and combating it with effective analysis and argument.
“Open Source Continuous Profiling Platform” — continuous profiling, as has been used in companies like Twitter for a while. This looks pretty practical though, due to some key features:
Lightning Fast – Doesn’t matter if you’re looking at 10 seconds or 10 months of profiling data — the queries are always fast thanks to our custom designed storage engine. Minimum Overhead – Pyroscope doesn’t affect performance of your applications, thanks to the use of sampling profiling technology. Cost-Effective – Pyroscope uses a custom data storage engine and stores profiling data very efficiently, making it economically viable to store profiling data from all of your apps for years.
this is nifty, a combo COVID/flu rapid test… might be handy to have a few set aside for the winter
As Nelson puts it: “guy submits an AI-generated art piece to the Colorado State Fair, wins prize” —
“Technology is increasingly deployed to make gig jobs and to make billionaires richer, and so much of it doesn’t seem to benefit the public good enough,” cartoonist Matt Borrs told Warzel in a follow up piece. “AI art is part of that. To developers and technically minded people, it’s this cool thing, but to illustrators it’s very upsetting because it feels like you’ve eliminated the need to hire the illustrator.”
Interesting dive into the training set:
Stable Diffusion’s initial training was on low-resolution 256×256 images from LAION-2B-EN, a set of 2.3 billion English-captioned images from LAION-5B‘s full collection of 5.85 million image-text pairs, as well as LAION-High-Resolution, another subset of LAION-5B with 170 million images greater than 1024×1024 resolution (downsampled to 512×512). Its last three checkpoints were on LAION-Aesthetics v2 5+, a 600 million image subset of LAION-2B-EN with a predicted aesthetics score of 5 or higher, with low-resolution and likely watermarked images filtered out. For our data explorer, we originally wanted to show the full dataset, but it’s a challenge to host a 600 million record database in an affordable, performant way. So we decided to use the smaller LAION-Aesthetics v2 6+, which includes 12 million image-text pairs with a predicted aesthetic score of 6 or higher, instead of the 600 million rated 5 or higher used in Stable Diffusion’s training.
‘”This spreadsheet provides a way for AWS cloud users to estimate the carbon footprint of their EC2 based workloads. Two estimations are available: – Carbon emissions related to running the instance, including the datacenter PUE – Carbon emissions related to manufacturing the underlying hardware.’ Courtesy of French online ad company Teads
“There were 15 years on the internet that were unlike anything else, and that I don’t think you’ll be able to really get unless you were there,” Le Conte tells me. The world she outlines was one inhabited by loners and misfits, where awkward teenagers could go to find themselves, reach out to people across the world with shared interests, create their own communities, forge new identities – anonymously and without adult supervision. It was dangerous, yes – she admits that young people probably should never have been given that much freedom – but also liberating and, above all, fun. So much fun, in fact, that soon it wasn’t just the weird kids who wanted to be part of it. She compares what happened next to a group of children building a treehouse to play in. “And then all their parents joined in and were like, ‘Hello, we hear you have a treehouse. We live here as well now.’”
Twitter thread with a good explanation of this scary attack; essentially Chinese “advertisers” were uploading custom audiences containing a bunch of random ids and one actually-targeted user’s id, then pinpointing the user activity that way
‘my attempt to put use cases for clean hydrogen – whether it be green, blue, pink, turquoise or whatever – into some sort of merit order, because not all are equally likely to succeed. […] Clean hydrogen will have to win its way into the economy, use case by use case. It could do so on its merits, or it could do so because of supportive policy (including carbon prices). But it will have to do so in competition with every other clean technology that could solve the same problem. And that is where the dreams of the hydrogen economy hit reality: in almost all use cases there is a good reason why hydrogen is not currently used – because other solutions are cheaper, simpler, safer or more convenient.’ (via Chris Adams)
Part 1 of a 2-part series from Natan Silnitsky in Wix Engineering. The patterns are: * Consume and project, for very popular services that become a bottleneck; * Event-driven from end to end, for easy business flow status updates; * In memory KV store, for 0-latency data access; * Schedule and Forget, when you need to make sure scheduled events are eventually processed; * Events in Transactions, when idempotency is hard to achieve; * Events Aggregation, when you want to know that a complete batch of events have been consumed. Quite Kafka-specific, but still useful for some general patterns.
crowdsourced data of mobile 3G/4G/5G network coverage across the country, with zoomable map of measurement points; great for figuring out options for rural internet access
Eric Topol on some recent research publications regarding Long Covid:
I’m going to briefly review here the new reports on (1) prevalence; (2) mechanisms and biomarkers; and (3) potential treatments […] Much new information for Long Covid was reported in a matter of days. It would be great to keep up this momentum, now that we are pushing onto 3 years of the pandemic. I have many colleagues who have been severely affected, and have seen multiple patients in my clinic in recent weeks who are debilitated. I wish I had something to offer them, but hopefully over time we’ll build on this recent spurt of knowledge. While we have no treatment or biomarker, the CDC relaxation of Covid guidelines is totally unhelpful— staying Covid cautious is the right move, and we desperately need better tools to block infections and transmission. There’s some hope that the first completed 4,000 participant nasal vaccine randomized trial could be the start of patching up the leak of vaccines against the Omicron subvariants (currently BA.5). Prof Iwasaki and I have called for an urgent Operation Nasal Vaccine initiative. There’s only one surefire way to prevent Long Covid: not to get Covid.
I love this idea — repurpose ancient phones as a DC for energy efficiency:
It requires significant energy to manufacture and deploy computational devices. Traditional discussions of the energy-efficiency of compute measure operational energy, i.e. how many FLOPS in a 50MW datacenter. However, if we consider the true lifetime energy use of modern devices, the majority actually comes not from runtime use but from manufacture and deployment. In this paper, then, we suggest that perhaps the most climate-impactful action we can take is to extend the service lifetime of existing compute. We design two new metrics to measure how to balance continued service of older devices with the superlinear runtime improvements of newer machines. The first looks at carbon per raw compute, amortized across the operation and manufacture of devices. The second considers use of components beyond compute, such as batteries or radios in smartphone platforms. We use these metrics to redefine device service lifetime in terms of carbon efficiency. We then realize a real-world “junkyard datacenter” made up of Nexus 4 and Nexus 5 phones, which are nearly a decade past their official end-of-life dates. This new-old datacenter is able to nearly match and occasionally exceed modern cloud compute offerings.(via the Environment Variables podcast)
A few good suggestions here. Absolutely to nobody’s surprise, it turns out systemd quietly sets up swapping to /var/swap, so that’s a good one to turn off if your RPIs are not RAM-bound
A HomeAssistant integration to enable automations based on room occupancy (“is X in the front room? turn on the lights” etc)
This is way more complicated than it should be, compared to the easy option of a quick flight :(
Thinking hard for several hours can leave us feeling mentally tired – and now we may know why. Prolonged concentration leads to the build-up of a compound called glutamate in regions at the front of the brain. This may provide an explanation as to why we avoid difficult tasks when mentally fatigued: the glutamate overload makes further mental work difficult. Too much glutamate is potentially harmful, says Antonius Wiehler at the Paris Brain Institute in France, who led the research. “The brain wants to avoid this, so it is trying to reduce activity.” Many of us have experienced mental weariness after a hard day of thinking, but until now, we didn’t know why. The brain doesn’t seem to run out of energy after working hard and even when we aren’t deliberately thinking about anything specific, some brain regions, called the “default mode network”, are as active as ever. To learn more, Wiehler and his team used a technique called magnetic resonance spectroscopy (MRS), which measures levels of various chemicals in living tissue harmlessly. They focused on a region towards the front and sides of the brain called the lateral prefrontal cortex […] Levels of eight different brain chemicals were measured, including glutamate, which is the main signalling chemical between neurons. After completing the memory tasks for 6 hours, those doing the harder version had raised levels of glutamate in their lateral prefrontal cortex compared with the start of the experiment. In those doing the easier task, levels stayed about the same. Across all participants, there was no rise in the other seven brain chemicals that were measured. Among the participants doing the harder tasks, their glutamate level rise tallied with dilation of the pupils in their eyes, another broad measure of fatigue. Those doing the simpler task reported feeling tired, but had no glutamate rise or pupil dilation.
Data from more than a dozen studies of more than 30,000 transgender and gender-diverse young people consistently show that access to gender-affirming care is associated with better mental health outcomes—and that lack of access to such care is associated with higher rates of suicidality, depression and self-harming behavior. (Gender diversity refers to the extent to which a person’s gendered behaviors, appearance and identities are culturally incongruent with the sex they were assigned at birth. Gender-diverse people can identify along the transgender spectrum, but not all do.) Major medical organizations, including the American Academy of Pediatrics (AAP), the American Academy of Child and Adolescent Psychiatry, the Endocrine Society, the American Medical Association, the American Psychological Association and the American Psychiatric Association, have published policy statements and guidelines on how to provide age-appropriate gender-affirming care. All of those medical societies find such care to be evidence-based and medically necessary.
This is a crazy story. The allegation is that OnlyFans used a secret Hong Kong subsidiary company to funnel bribes to crooked Meta employees in order to get competitors’ social media content blocked by the GIFCT blocklist, ‘a watch list managed by the Global Internet Forum to Counter Terrorism, a non-profit intended to “stop the spread of mass shooting videos and other terrorist content across social media sites” that was co-founded by Meta, Microsoft, Twitter and YouTube.’
official EU estimates for home solar PV output
“Scrape and Monitor Data from Any Website with No Code” — looks like an interesting approach to web scraping, with a free plan
Interesting HN thread with a few suggestions — replacing the battery with a direct soldered PSU connection is interesting, if a little scary
Electrically-powered, wall-mounted heating panels which provide heat through direct emission of infrared radiation. Tuya-based, so compatible with Home Assistant and various other gadgets. Intriguing as a super-cheap way to exploit solar PV power and avoid fossil fuels
Alex DeBrie’s commentary on the “10 years of DynamoDB” paper published recently by AWS. Together with Marc Brooker’s commentary (at https://brooker.co.za/blog/2022/07/12/dynamodb.html), this is a good review.
A survey of the current state of SWE on-call activities and cultures across the industry. Pretty good, except the first part of this series is still unreadable as it’s subscriber-only, and I am irrationally peeved by the Irish companies tagged as “Global” whereas companies in other EU countries are named as such. Give us the credit when due :)
But every bezzle ends. The Saudi royals – who provided much of the billions used to prop up the Uber bezzle in its first decades – cashed out with the company’s IPO. The company may lure in some new suckers and delay the exodus of current bag-holders with its current fantasy of infinite price-hikes and wage theft, but that’s a fantasy, too.
Good data on past COVID-19 infections in Ireland, derived from blood analysis at the Blood Transfusion Service; charts over time are broken down by age group, past vaccination status and infection status. As of this week, it seems 72.8% of the Irish population have had COVID so far….
It’s the sebum!
The researcher found that mosquitoes that smelled a blend of decanal, which activates the human-specific glomerulus, and 1-hexanol, which activates the human-and-animals glomerulus, would fly upwind in search of the source. “Importantly, they also show that these components are behaviorally relevant to the mosquitoes—mosquitoes will track the binary blend of synthetic odorants in the same way that they respond to whole human odor,” notes Duvall. The decanal and undecanal are probably derived from sebum, an oily substance that—unlike sweat—is secreted from hair follicles regardless of physical activity. Finding a role for sebum in mosquito attraction is novel, Matthew DeGennaro, a researcher in vector-borne diseases at Florida International University who was not involved in the study, writes in an email. “Previously, most the of the focus has been on human sweat components such as lactic acid or on how the human skin microbiome processes sweat and sebum into our distinct odor.”
William Gibson’s “Jackpot” would like a word:
A thorough risk assessment would consider how risks spread, interacted and amplified, but had not been attempted, the scientists said. “Yet this is how risk unfolds in the real world,” they said. “For example, a cyclone destroys electrical infrastructure, leaving a population vulnerable to an ensuing deadly heatwave.” The Covid pandemic underlined the need to examine rare but high-impact global risks, they added.
Another problem is what the study identifies as “the social proof lever.” […] Anti-piracy campaigns make piracy seem like the social norm. If everyone is doing it, the logic goes, it probably isn’t that bad. “Informing directly or indirectly individuals that many people pirate is counterproductive and encourages piracy by driving the targeted individuals to behave similarly,” the study said. “These messages provide to the would-be pirates the needed rationalization by emphasizing that ‘everyone is doing it.” The study had one last piece of advice for movie studios: stop airing anti-piracy ads in the theater. “These messages are frequently edited out by pirates before being redistributed through the internet, the study said. “Consequently, individuals who see the message are paying users […] displaying descriptive information about how widespread piracy is to paying users is ill-advised.”
An Taisce, the National Trust for Ireland, responds to the government’s new sectoral ceilings for carbon emissions:
“By agreeing to these sectoral ceilings the Government is potentially signing up to something which is not aligned with the Climate Act from the very get go. Where has the 2025 budget gone? Why does it only add up to 43% when the law itself requires 51%? It seems like they’re making it up as they go along, but this whole process has to be aligned to the legal requirements of the Climate Act, you can’t simply fudge it. This is a truly chaotic way to budget for the future”Well said.
Profile of Frank Mitloehner, the Irish beef and dairy industry’s favourite scientist where climate change is concerned. An Taisce have noted: “Scientists from Johns Hopkins University took the highly unusual step of issuing a public rebuttal to Dr. Mitloenher’s mis-statements, particularly in noting that cutting total emissions is the only meaningful measure of climate action and that animal agriculture has an enormous environmental impact, therefore focusing on product efficiency as Mitloehner does is a misdirection.” — https://clf.jhsph.edu/sites/default/files/2019-04/frank-mitloehner-white-paper-letter.pdf
Good review for the ZimaBoard, a pretty hefty looking SBC microserver platform with a real x86_64 CPU
Installing Muxsan power pack extension kits in Ireland, to add 11kWh, 22kWh and 33kWh extensions giving an additional range of +75km, +140km and +210km on top of the basic 24/30/40kWh Leaf battery packs. Very tempted!
“Darren: I thought it was a joke that they were pushing for the [poop emoji] to be in the first cut, but I quickly learned that it was not a joke at all. It’s basically like having all of the letters in the English alphabet, but getting rid of random ones. Like, “Let’s take out ‘B’ because ‘B’ kind of offends me.” In Japanese, emoji are more like characters than random animated emoticons, so we pushed back really hard. We said, “We can’t launch emoji without the poop.” Not only is it extremely popular in Japan—like extremely popular—you can’t just arbitrarily take letters out of the alphabet.”
Marc Brooker on the latest DynamoDB USENIX paper — good paper and commentary. He picks out this very interesting tidbit:
‘When a router received a request for a table it had not seen before, it downloaded the routing information for the entire table and cached it locally. Since the configuration information about partition replicas rarely changes, the cache hit rate was approximately 99.75 percent.’ What’s not to love about a 99.75% cache hit rate? The failure modes! ‘The downside is that caching introduces bimodal behavior. In the case of a cold start where request routers have empty caches, every DynamoDB request would result in a metadata lookup, and so the service had to scale to serve requests at the same rate as DynamoDB’ So this metadata table needs to scale from handling 0.25% of requests, to handling 100% of requests. A 400x potential increase in traffic! Designing and maintaining something that can handle rare 400x increases in traffic is super hard. To address this, the DynamoDB team introduced a distributed cache called MemDS. ‘A new partition map cache was deployed on each request router host to avoid the bi-modality of the original request router caches.’ Which leads to more background work, but less amplification in the failure cases. The constant traffic to the MemDS fleet increases the load on the metadata fleet compared to the conventional caches where the traffic to the backend is determined by cache hit ratio, but prevents cascading failures to other parts of the system when the caches become ineffective.
Very impressed by Fairphone, the greener mobile option. Here’s more info on their open source commitments — “On every smartphone we produce and sell – we publish as much source code as we legally can. And we share all of this information publicly with our users and community on our Fairphone Code website.”
Via Nelson; webapp to analyze CPAP machine data logs
“argumentation theory” is an interesting idea in the age of weaponised memes:
The Covid-19 pandemic has offered some notable examples of how public communication may backfire, in spite of the best intentions of the actors involved, and what role poor argumentative design plays in such failures, in the context of the current digital media ecology. In this chapter, I offer some preliminary considerations on the ongoing struggle to make sense of the new communication technologies in our media reality, analyze a concrete example of argumentative failure in anti-Covid vaccine communication in the European Union, and leverage this case study to issue a call to arms to argumentation scholars: argumentative competence is sorely needed for an effective response to the pandemic, yet argumentation theory will need to join forces with other areas of expertise to realize its societal impact. When it comes to arguments, self-isolation is not a viable strategy to fight Covid-19.
In 2018, while reporting on pandemic preparedness in the Democratic Republic of Congo, I heard many people joking about the fictional 15th article of the country’s constitution: Débrouillez-vous, or “Figure it out yourself.” It was a droll and weary acknowledgment that the government won’t save you, and you must make do with the resources you’ve got. The United States is now firmly in the débrouillez-vous era of the COVID-19 pandemic.… same here, unfortunately.
“What we might be seeing is a weird side effect of […] filtering or pre-processing, where images of Indian women, for example, are less likely to get filtered by the ban list, or the text describing the images is removed and they’re added to the dataset with no labels attached.” For instance, if the captions were in Hindi or another language, it’s possible that text might get muddled in processing the data, resulting in the image having no caption.
_The Importance of Understanding the Stages of COVID-19 In Treatment And Trials_, as covered regularly by Dr. Daniel Griffin on TWiV — COVID-19 infection can progress through several defined phases; “three periods: pre-exposure, incubation, and detectable viral replication; and five phases: the viral symptom phase, the early inflammatory phase, the secondary infection phase, the multi-system inflammatory phase, and the tail phase.”
By talking about Agile Marketing, and Agile in general, with a foreign friend, I figured out that people outside Brazil are not familiar with the eXtreme Go Horse Methodology. Even though we’ve seen it applied to many companies (like Tesla), apparently this widely used global methodology was only formally detailed by Brazilian Devs.Example XGH methodology: “In XGH you don’t think, you do the first thing that comes to your mind. There’s not a second option as the first one is faster.”
‘Sufficient similarities exist between Long SARS and Long Covid (PASC) in symptoms, findings and course over time (so far) that one can predict that it is very highly likely that some Long Covid disability will persist permanently.’
‘The Cycle of Dispossession describes an anti-democratic pattern, which [Shoshana] Zuboff [in _The Age Of Surveillance Capitalism_, 2019] lays out as a four-stage process: incursion, habituation, adaptation, and redirection.’
ooh, kinda cool (though very geeky) — trigger NFC activity using a ring on your hand, including POS terminals, activating doors, and public transport