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Two NASA telescopes helped an international team of astrophysicists peer far enough back in time to gain new insight on how black holes form.

The scientific feat is also "a breakthrough for practical applications because entangled molecules can be the building blocks for many future applications.” says physicist Lawrence Cheuk.

Modern humans and Neanderthals interacted over a 200,000-year period, says geneticist Joshua Akey.

Xie, a materials engineer, won a 2024 Packard Fellowship for creating atomically thin materials. “Thinking and inventing down to an atomic level like Saien is doing, most spectacularly I should add, is the future,” said James Sturm, ECE department chair.

“His mathematical legacy is enormous,” said John D’Angelo *76. “Joe was among the most friendly, popular and influential mathematicians of his generation.”

Country songs sway the heart and a few country song artists can really come up with great songs. Of a few famous country singers, Dean Dillon stands out. Read on if you want to find out why. About Dean Dillon Dean Dillon is a famous American country music artist and songwriter. He recorded six studio ... Read more

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With TikTok going viral, it has become the perfect platform for musicians to showcase their talent and reach new audiences. No matter what genre you specialize in, this blog will provide you with all the tips and tricks to get noticed on TikTok and grow your fanbase. So, what are you waiting for? Let’s get ... Read more

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In the 1700s, an enslaved man named Onesimus shared a novel way to stave off smallpox during the Boston epidemic. Here’s his little-told story, and how the Atlantic slave trade and Indigenous medicine influenced early modern science.

In Louisiana, more than 100,000 students are using an AI tutor that is helping to raise reading scores.

“A University of Oregon administrator has been placed on leave after expressing ‘hope’ that Donald Trump supporters would ‘go jump off a f***ing bridge’ in a now-deleted video posted to his Instagram account,” reports The College Fix. After this created lots of bad press for the University, it put the administrator on temporary leave. “Copies […]

The post College official wishes Trump voters would ‘f***ing’ kill themselves appeared first on Liberty Unyielding.

Ethiopia is not a very free country. It ranks low on measures of economic and political freedom. It also is fairly poor: Incomes in Ethiopia are 86% lower than the world average. But it is a good neighbor. It has approved a $738 million loan to its more backward neighbor, South Sudan, to build a […]

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By Harold Hutchison Former Acting Secretary of Homeland Security Chad Wolf told CNN host Jim Acosta Tuesday that the incoming Trump administration would “initiate a pretty large program” to locate children the Biden-Harris administration lost track of. At least 85,000 children placed into the custody of the Office of Refugee Resettlement (ORR) are unaccounted for, […]

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2. Pakistani Influencer Imsha Rehman Deactivates Social Media Accounts After Private Video Leaks  NDTV
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4. After Minahil Malik, another Pakistani TikTok star Imsha Rehman’s X-rated video goes viral; here's how she  The Economic Times
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Time's arrow may not be as unidirectional as we were led to believe. According to Scientific American, a group of quantum physical researchers at the University of Toronto had observed evidence of what they're calling "negative time"—specifically, of photons exiting a material before they ever entered it, to begin with. — Read the rest

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The following article, Lunatic Democrat Murders Wife and Kids, Commits Suicide Over His Hate for Donald Trump, was first published on Conservative Firing Line.

This is how mentally deranged liberals are… a Democrat in Minnesota was so filled with rage that Donald Trump won the election last week that he murdered his own wife and kids and then committed suicide to prevent them all from having to live during the next Trump presidency. Notice how you never heard any …

Continue reading Lunatic Democrat Murders Wife and Kids, Commits Suicide Over His Hate for Donald Trump ...

It can scarcely be denied that the supreme goal of all theory is to make the irreducible basic elements as simple and as few as possible without having to surrender the adequate representation of a single datum of experience.

—Albert Einstein, “On the Method of Theoretical Physics” (1934)

Context: Last week, I pinched off one of my typically woolly emails in response to an acquaintance whom I admire. He’s a swell guy who makes things I love, and he'd written, in part, to express concern that my recent Swift impersonation had been directed explicitly at something he'd made. Which, of course, it hadn’t—but which, as I'll try to discuss here, strikes me as irrelevant.

To paraphrase Bogie, I played it for him, so now I suppose I might as well play it for you.

(n.b.: Excerpted, redacted, munged, and heavily expanded from my original email)

There are at least a couple things that mean a lot to me that I'm still just not very good at.

• Make nuanced points in whatever way they need to be made; even if that ends up seeming “un-nuanced”
• Never explain yourself.

I want to break both these self-imposed rules privately with you here. [Editor’s Note: Um.] Because, I hope to nuance the shit out of some fairly un-nuanced points. And, to do that, I'll also (reluctantly) need to explain myself. But, here goes.

First [regarding my goofing on “distraction-free writing environments”] I think there are some GIANT distinctions at play here that a lot of folks may not find nearly as obvious as I do:

1. Tool Mastery vs. Productivity Pr0n – Finding and learning the right tools for your work vs solely dicking around with the options for those tools is just so important, but also so different. And, admittedly, it’s almost impossible to contrast those differences in terms of hard & fast rules that could be true for all people in all situations. But, that doesn’t make the difference any less qualitatively special or real.
   
   Similarly…

2. Self-Help Vs. “Self”–“Help” – Solving the problem that caused the problem that caused the problem that caused the symptom we eventually noticed. Huge. Arguably, peerless.

   • Viz.: How many of us ignore the actual cause of our problem in favor of just reading dozens of blog posts about how to “turbocharge” its most superficial symptoms? Sick.

3. Focus & Play – Yes, focusing on important work is, as Ford used to say, Job 1. But, that focus benefits when we maintain the durable and unapologetic sense of play that affords true creativity and fosters an emergence of context and connection that’s usually killed by stress. BUT.

   • Again, what conceivable “rule” could ever serve to immutably declare that “THIS goofing-off is critical for hippocampal plasticity” vs. “THAT goofing-off is just dumb, distracting bullshit?”

   • Impossible. Because drawing those kinds of distinctions is one of our most important day-to-day responsibilities. Decisions are hard, and there’s no app or alarm gadget that can change that.

     • Although, they certainly can help mask the depth of the underlying problem that made them seem so—what’s the parlance?—“indispensable”.
     • Think: Elmo Band-Aids for that unsightly pancreatic tumor.

4. Reducing Distraction through Care (Rather than braces, armatures, and puppet strings). Removing interruptions and external distractions that harm your work or life? Great. Counting on your distraction-removal tool to supplement your non-existent motivation to do work that will never get done anyway? Pathetic.

   • Frankly, this is a big reason I'm so galled when anyone touts their tool/product/service as being the poor, misunderstood artist’s new miracle medicine—rather than just admitting they've made a slightly different spoon.
   • Because, let’s be honest: although most of us have plenty of perfectly serviceable spoons, everybody knows collecting cutlery is way more fun than using it to swallow yucky medicine.

5. Using a System Vs. Becoming a System. Having a system or process for getting work done vs. making the iteration of that system or process a replacement for the work. This is just…wow…big.
   
   But, maybe most importantly to me…

6. Embracing the Impossibles. Getting past these or any other intellectual koans by simply accepting life’s innumerable and unresolvable paradoxes, hypocrisies, and impossibilities as God-given gifts of creative constraint. Rather than, say, a mimeographed page of long division problems that must be solved for a whole number, n.

   • I just can’t ever get away from this one. For me, it’s what everything inevitably comes back to.
   • The very definition of our jobs is to solve the right problem at the right level for the right reason—based on a combination of the best info we have for now and a clear-eyed dedication to never pushing an unnecessary rock up an avoidable hill.

   • YET, we keep force-feeding the monster that tells us to fiddle and fart and blame the Big Cruel World whenever we face work that might threaten our fragile personal mythology.

     • “Sigh. I wish I could finally start writing My Novel….Ooooooh, if only I had a slightly nicer pen…and Zeus loved me more….”

All that stuff? That there’s a complex set of ideas to talk about for many complex reasons—not least of which being how many people either despise or (try to) deny the unavoidable impact of ol' number six.

But, here’s the thing: as much as saying so pisses anybody off, I think the topics we're NOT talking about whenever we disappear into Talmudic scholarship about “full-screen mode” or “minimalist desks” or whatever constitutes a “zen habit”—those shunned topics are precisely the things that I believe are most mind-blowingly critical to our real-world happiness as humans.

In fact, I believe that to such a degree that helping provide a voice for those unpopular topics that can be heard over the din is now (what passes for) my career. I really believe these deeper ideas are worth socializing on any number of levels and in many media. Even when it’s inconvenient and slightly disrespectful of someone’s business model.

So, that’s what I try to do. I talk about these things. Seldom by careful design. Often poorly. But, always because they each mean an awful lot to me.

[…]

But, no matter how I end up saying whatever the hell I say, I believe in saying it not simply to be liked or followed or revered as a “nice guy” who pushes out shit-tons of whatever to “help people.”

Because, believe me, friend, a great many of those apparently “nice guys” swarming around the web “helping people” these days are ass-fucking their audience for nickels and calling it a complimentary colonoscopy. And, while I absolutely think that in itself is empirically wrong, I also think it’s just as important to say that it’s wrong. Sometimes, True Things need to be said.

Which in this instance amounts to saying, a) selling people a prettier way to kinda almost but not really write is not, in the canonical sense, “nice”—but, far worse, b) leaving your starry-eyed customers with the nauseatingly misguided impression that their “distraction” originates from anyplace but their own busted-ass brain is really not “helping.” Not on any level. It is, literally, harmful.

“Helping” a junkie become more efficient at keeping his syringe loaded is hardly “nice.”

It’s the opposite of nice. And, it’s the opposite of helpful. These are my True Things.

And, to me, saying your True Things also means not watering down the message you care about in order to render it incapable of even conceivably hurting someone’s feelings—or of even conceivably losing you even one teeny-tiny slice of that precious “market share.”

Well, that’s the price, and I'm fine paying it—best money I've ever spent.

But, it also means trusting your audience by letting each of them decide to add water only as they choose to—by never corrupting the actual concentrate in a way that might make it less useful to the smartest or most eager 5% of people who'd like to try using it undiluted. Because, at that point, you're not only abandoning the coolest people you have the honor of serving—you risk becoming a charlatan.

And, that’s precisely what you become when you start to iteratively inbreed the kind of fucktard audience for whom daily buffets of weak swill and beige assurance are life’s most gratifying reward.

Sure. Those poor bastards may never end up using any of that watery information to do anything more ambitious than turbocharging their most regrettable symptoms. But, who’s the last person in the universe who’s going to grab them by the ears and tell them to get back to work? Exactly—that same “nice guy” whose livelihood now depends on keeping infantalized strangers addicted to his “help.”

Holy shit—no way could I ever live with that. It’s so wrong, it’s not even right. ESC, ESC, ESC!

[…]

Okay. So anyhow, there’s a really long-winded, overly generous, and extremely pompous way of trying to say I don’t know how to do what I do except how I do it. But, I do genuinely feel awful when innocent people feel they have been publicly humiliated or berated simply because I'm some dick who hates people.

Which has to be my favorite irony of all.

When I was a kid, I thought my Mom was “mean” not to let me play in traffic on busy Galbraith Road. Today, I'm not simply grateful that she had the strength and resolve to be so “mean”—I actually can’t imagine how sad it would be to not have people in your life who care enough about your long-term welfare to tell you to stop fucking around in traffic. To where you eventually might start even seeking 12x-daily safety hacks from some of the very same drivers whose recklessness may eventually kill you. Wow.

[…]

Admitting when life is complicated or things aren’t shiny and happy all the time strikes me as a wonderfully sane and adult way to conduct one’s life. That there are so many folks offended by even the existence of this anarchic idea is not a problem I can solve.

No more than I can wish useless email away or pray hard enough that it never rains on anyone’s leaky roof. All out of scope.

And, then, I jizzed on at length about how much I admire the recipient’s work. Which I do.

Good work doesn’t need a cookie

I may admire your work, too. Especially if you care a lot about that work and don’t overly sweat peoples' opinions of it. Most definitely including my own.

For these purposes, it doesn’t really matter whether we're friends and, honestly, it doesn’t even matter whether I love, use, or agree with everything you do, say, or make in a given day.

It doesn’t matter because good work doesn’t need me to love it. Like tornadoes and cold sores, good work happens with total disregard to whether I'm “into it.”

But, conversely, let’s stipulate that the points-of-view undergirding our opinions—again, including mine—will and should survive either agreement or lack of agreement with equivalently effortless ease. Because, like really good work, a really good point-of-view doesn’t require another person’s benediction.

Guess we'll have to disagree to agree

Now, to be only vaguely clearer here, I'm not posting this circuitous ego dump in the service of altering your opinion of either me, my friend, his work, or practically anything else for that matter.

But, I would love it if we could all be more okay with the fact that real life means that we do each have a different, sometimes incongruous, and often totally incompatible point-of-view. Yes. Even you have a point-of-view that someone despises. Ready to change it now? Jesus, I sure hope not.

Then, to be only slightly more clear, I'm also not advocating for that fakey brand of web-based kum ba ya that gets trotted out alternately as “tolerance” or “inclusion” or some styrofoam miniature of “civility.”

I'm absolutely not against all of those things when authentically practiced, but I'm also really skeptical of the well-branded peacemakers who are forever appointing themselves the Internet’s “Now-Now-Let’s-All-Pretend-We're-Just-Saying-the-Same-Useless-Thing-Here” den mothers.

Because we're not all saying the same things. Not at all.

And, it infantalizes some important conversations when we tacitly demand that any instance of honest disagreement be immediately horseshat into a photo opp where some thought leader gets to hoist everyone’s hands in the air like he’s fucking Jimmy Carter.

Nope. Not saying that.

Who will you really rely on?

What I AM saying is that alllllll this seemingly unrelated stuff is absolutely related—that the pattern of not relying on other people for anything you really care about is arguably the great-grandaddy of every useful productivity, creativity, or self-help pattern.

Where’s this matter? Pretty much everywhere you have any sort of stake:

• Don’t rely on other people to remove your totally fake “distractions.”
• Don’t rely on other people to pat your beret, re-tie your cravat, and make you a nice cocoa whenever that mean man on the internet points out that your “distractions” are totally fake. (Which they are)
• Don’t rely on other people to tell you when or whether you have enough information.
• Don’t rely on other people to define your job.
• Don’t rely on other people to “design your lifestyle.”
• Don’t rely on other people to decide when your opinions are acceptable.
• Don’t rely on other people to tell you when you're allowed to be awesome.
• Don’t rely on other people to make you care.
• Don’t even rely on other people to tell you what you should or shouldn’t rely on.

Yes. I went there.

Because that’s the point. These hypocrisies, paradoxes, and ambiguities that people get so wound up about—that many of us are constantly (impotently) trying to resolve—cannot be resolved.

Because, yeah: all of these harrowingly unsolvable problems are immune to new notebooks and less-distracting applications and shinier systems and “nicer” self-“help” and pretty much anything else that is not, specifically, you walking straight into the angriest and least convenient shitstorm you can find and getting your ass kicked until the storm gets bored with kicking it.

Then, you find an even angrier storm. Then, another. And, so on.

“Get the fuck off of my obstacle, Private Pyle!”

Doing that annoying hard stuff is how you grow, get better, and learn what real help looks like. Even if that’s not the answer you wanted to hear. You get better by getting your ass out of your RSS reader and fucking making things until they suck less. Not by buying apps.

You don’t whine about distractions, or derail yourself over needing a nicer pencil sharpener, or aggravate your chronic creative diabetes by starting another desperate waddle to the self-help buffet. No. You work.

And, for what it’s worth, just like you can’t get to the moon by eating cheese, you'll also never leave boot camp with your original scrote intact by telling your drill sergeant to try using more honey than vinegar.

No. That sergeant’s job is to make you miserable. It’s his job to break down your callow conceits about what’s supposed to be easy and fair. It’s his job to emotionally pummel you into giving up and becoming a Marine.

You? You're not there to give the sergeant notes; you're there to sleep two hours a night, then not mind getting beaten for 20 hours until a decent Marine starts to fall out.

Who knows? He may even surprise you by introducing a surprisingly effective “distraction-free learning environment.”

“Tee ell dee ahr, Professor Brainiac.”

Like most humans, I like things I can understand. Like most readers, I love specificity. Like most thinkers, I love clarity. Like most students, I love relevance and practicality. And, like most busy people, believe it or not, I actually do really like it when someone gets straight to the point.

But, here’s the problem. If my 2-year-old daughter asks me about time travel, and I blithely announce, “E=mc²”, I will have said something that is entirely specific, clear, relevant, practical, and/or straight-to-the-point. For somebody.

But, not so much for my daughter. And, to be honest, not even to any useful degree for me.

She'd probably either laugh derisively at me (which she’s great at), or she'd pause and ask, “Whuh dat?” (which she’s even better at).

Thing is, her understanding that jumble of characters less than me—and my understanding it WAY less than Professor Al—has zero impact on the profundity, truth, beauty, or impact of the man’s theory.

Sure. You could quite accurately fault me for being a smartass and a poseur, and you could even berate my toddler for her unaccountably shallow understanding of Modern Physics. But, in any case, you can’t really blame either Albert or his theory.

You're turbocharging nothing

Specifically, Albert can’t begin to tell us what he really knows if we don’t understand math.

So, let’s say this theory you've been hearing about really interests you. And, let’s also pretend, just for the sake of the analogy, that you haven’t completed Calculus III (212) or Quantum Mechanics (403) or even something as elementary as, say, Advanced Astrophysics II (537). I know you have. Obviously. But, let’s pretend. Where do you start?

Well, you could read some tips about learning math. You could find a list of 500 indispensable resources for indispensable math resources. You could buy a new “distraction-free math environment.” Heck, there’s actually nothing to stop you from just declaring yourself a “math expert.” Congratulations, Professor.

Thing is: you still don’t know math.

Which means you still can’t really understand the theory—no more than a pathetic Liberal Arts refugee like me or a dullard Physics ignoramus like my kid can really grok relativity.

Difference is, you will have blown a lot of time hoping that actual expertise follows non-existent effort—while my daughter and I get to remain total novices without charge. Only, we don’t get all mad at the theory as a result; a staggering number of fake math experts do.

I mean, be honest—after all that recreational non-work and make-believe dedication almost trying to kinda learn math sorta—you might actually get frustrated at how brazenly Al defies your fondness for shortcuts by continuing to rely on so many terms and proofs and blah-blah-blah that you still just don’t understand. So annoying.

You may simply decide that Albert Einstein’s a huge dick for never saying things that can be completely understood solely by scanning a headline.

EPIC EINSTEIN FAIL, amirite?

You never really know what you didn’t know until you know it

But, Al just told the truth.

Problem is, Al’s truth not only requires fancy things in order to be truly understood—the more of those fancy things you take away from his truth, the less true it gets. And, by the time it’s been diluted to the point where you're comfortable that you understand it? You'd be understanding the wrong thing. Even I can understand that.

But, not one bit of any of this is Al’s fault. Al doesn’t get to control who uses, abuses, gets, or doesn’t get what he said or why it matters. Especially since he’s been dead for over fifty years.

All I know is, regardless of who has ears to hear it on a given day, it would be to Al’s credit never to mangle something important in order to get it into terms everybody’s ready to handle without actually trying.

And God bless him for never agreeing that your “distractions” to learning math are his problem.

So, yeah, if you only need to hand in a crappy 5-page paper, you could certainly Cliff’s Notes your way through Borges, Eliot, or Joyce in an afternoon, and feel like you haven’t missed a thing. Trouble is, if you did care even a little, it’s impossible to even say how much you're missing since you can’t be bothered to soldier through the source text. The text itself is the entire point.

Even the wonderfully cogent and readable layman’s explanations Einstein himself provided don’t really get to the nut, the application, and the implications of his real theory.

That all takes real math.

That “single datum of experience” matters

Sometimes, complex or difficult things stop being true when you try to make them too simple. Sometimes, you have to actually get laid to understand why people think sex is such a thing. Sometimes, you need to learn some Greek if you really want to understand The Gospel of John. And, yeah, sometimes, you're going to have to just work unbelievably hard at whatever you claim to care about before anyone can begin to help you get any better—or less “distracted”—at it.

The part I really know is what doesn’t work. Reading Penthouse Forum won’t help you CLEP out of Vaginal Intercourse 101. Watching a Rankin-Bass cartoon about the Easter Bunny will teach you very little about the intricacies of transubstantiation. And, if you can’t be troubled to care so much about your work that you reflexively force distractions away, dicking around with yet another writing application will merely aggravate the problem. Ironic, huh?

These quantum mechanics of personal productivity are rife with such frustrating “paradoxes.”

These are True Things.

Achieving expertise and doing creative work is all horribly complicated and difficult and paradoxical and frustrating and recursive and James Joyce-y—and any guide, blog, binary, guru, or “nice guy” that tries to suggest otherwise is probably giving you a complimentary colonoscopy. Do the math.

Want a new syllabus? Sure:

Run straight into your shitstorm, my friends. Reject the impulse to think about work, rather than finishing it. And, open your heart to the remote possibility that any mythology of personal failure that involves messiahs periodically arriving to make everything “easy” for you might not really be helping your work or your mental health or your long-standing addiction to using tools solely to ship new excuses.

Learn your real math, and any slide rule will suffice. Try, make, and do until you quit noticing the tools, and if you still think you need new tools, go try, make, and do more.

If you can pull off this deceptively simple and millennia-old pattern, you'll eventually find that—god by dying god—any partial truth that’s supported your treasured excuses for not working will be replaced by a no-faith-required knowledge that you're really, actually, finally getting better at something you care about.

Which is just sublimely un-distracting.

Dedication

This article is dedicated to my friend, Greg Knauss. No, he’s not the app guy–he’s just a good man who does good work, who accidentally/unintentionally helped me write this rant. He also happens to be a fella who could teach anyone a thing or two about writing with distractions. Thanks, Greg.

There is a reason Joe Rogan became the world's largest podcaster. He doesn't take his audience -- or his guests -- for granted. He wants MEANINGFUL conversations.

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Pro-Trump businessmen Elon Musk (the richest man in the world) and Vivek Ramaswamy have officially joined the incoming Trump administration. President-elect Donald Trump announced in a statement published Tuesday that […]

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Rassie Erasmus' 7-1 variation of the Bomb Squad used against Scotland on Sunday set off a few tremors in the north, with Times writer Stephen Jones the latest to criticise the "dangerous" and "arrogant" tactic.

Policy for Recovery in Africa: Rethinking Energy Solutions for Universal Electricity Access 10 December 2020 — 5:00PM TO 6:00PM Anonymous (not verified) 20 November 2020 Online

Approximately three quarters of Africa’s population do not have access to clean cooking fuel and face costs to their health. Speakers explore policy opportunities to bridge this gap, the key barriers that remain and the transformative potential of energy transition in delivering sustainable access for all.

Speakers explore policy opportunities to bridge the energy access gap, the key barriers that remain and the transformative potential of energy transition in delivering sustainable access for all.

African countries face an uphill battle as they confront the shocks of the coronavirus pandemic, seeking recovery in the context of global socio-economic difficulty and fragmented geopolitics.

With deficits in terms of governance, public health systems, social protection, and basic service delivery presenting challenges even before the outbreak, careful analysis and creative evidence-based policy solutions, as well as emphasis on implementation, will be crucial if Africa is to progress towards the SDGs and Agenda 2063.

The Policy for Recovery in Africa series brings together expert speakers and decision makers to examine and exchange on key challenges, potential solutions, and approaches for implementation.

The energy access gap in Africa presents one of the most serious obstacles to the long-term pandemic recovery effort, with almost half of the continent’s population estimated to still lack access to electricity, creating a negative annual GDP impact estimated to be over 25 billion USD.

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Jul 1, 2007; 6:1198-1214
Research

Lys234 is one of the residues present in class A β-lactamases that is under selective pressure due to antibiotic use. Located adjacent to proton shuttle residue Ser130, it is suggested to play a role in proton transfer during catalysis of the antibiotics. The mechanism underpinning how substitutions in this position modulate inhibitor efficiency and substrate specificity leading to drug resistance is unclear. The K234R substitution identified in several inhibitor-resistant β-lactamase variants is associated with decreased potency of the inhibitor clavulanic acid, which is used in combination with amoxicillin to overcome β-lactamase–mediated antibiotic resistance. Here we show that for CTX-M-14 β-lactamase, whereas Lys234 is required for hydrolysis of cephalosporins such as cefotaxime, either lysine or arginine is sufficient for hydrolysis of ampicillin. Further, by determining the acylation and deacylation rates for cefotaxime hydrolysis, we show that both rates are fast, and neither is rate-limiting. The K234R substitution causes a 1500-fold decrease in the cefotaxime acylation rate but a 5-fold increase in kcat for ampicillin, suggesting that the K234R enzyme is a good penicillinase but a poor cephalosporinase due to slow acylation. Structural results suggest that the slow acylation by the K234R enzyme is due to a conformational change in Ser130, and this change also leads to decreased inhibition potency of clavulanic acid. Because other inhibitor resistance mutations also act through changes at Ser130 and such changes drastically reduce cephalosporin but not penicillin hydrolysis, we suggest that clavulanic acid paired with an oxyimino-cephalosporin rather than penicillin would impede the evolution of resistance.

Margrit Schwarz
Sep 1, 1998; 39:1833-1843
Articles

RK Tangirala
Nov 1, 1995; 36:2320-2328
Articles

Can global technology governance anticipate the future? Expert comment NCapeling 27 April 2021

Trying to govern disruption is perilous as complex technology is increasingly embedded in societies and omnipresent in economic, social, and political activity.

Technology governance is beset by the challenges of how regulation can keep pace with rapid digital transformation, how governments can regulate in a context of deep knowledge asymmetry, and how policymakers can address the transnational nature of technology.

Keeping pace with, much less understanding, the implications of digital platforms and artificial intelligence for societies is increasingly challenging as technology becomes more sophisticated and yet more ubiquitous.

To overcome these obstacles, there is an urgent need to move towards a more anticipatory and inclusive model of technology governance. There are some signs of this in recent proposals by the European Union (EU) and the UK on the regulation of online harms.

Regulation failing to keep up

The speed of the digital revolution, further accelerated by the pandemic, has largely outstripped policymakers’ ability to provide appropriate frameworks to regulate and direct technology transformations.

Governments around the world face a ‘pacing problem’, a phenomenon described by Gary Marchant in 2011 as ‘the growing gap between the pace of science and technology and the lagging responsiveness of legal and ethical oversight that society relies on to govern emerging technologies’.

This ever-growing rift, Marchant argues, has been exacerbated by the increasing public appetite for and adoption of new technologies, as well as political inertia. As a result, legislation on emerging technologies risks being ineffective or out-of-date by the time it is implemented.

Effective regulation requires a thorough understanding of both the underlying technology design, processes and business model, and how current or new policy tools can be used to promote principles of good governance.

Artificial intelligence, for example, is penetrating all sectors of society and spanning multiple regulatory regimes without any regard for jurisdictional boundaries. As technology is increasingly developed and applied by the private sector rather than the state, officials often lack the technical expertise to adequately comprehend and act on emerging issues. This increases the risk of superficial regulation which fails to address the underlying structural causes of societal harms.

The significant lack of knowledge from those who aim to regulate compared to those who design, develop and market technology is prevalent in most technology-related domains, including powerful online platforms and providers such as Facebook, Twitter, Google and YouTube.

For example, the ability for governments and researchers to access the algorithms used in the business model of social media companies to promote online content – harmful or otherwise – remains opaque so, to a crucial extent, the regulator is operating in the dark.

The transnational nature of technology also poses additional problems for effective governance. Digital technologies intensify the gathering, harvesting, and transfer of data across borders, challenging administrative boundaries both domestically and internationally.

While there have been some efforts at the international level to coordinate approaches to the regulation of – for example – artificial intelligence (AI) and online content governance, more work is needed to promote global regulatory alignment, including on cross-border data flows and antitrust.

Reactive national legislative approaches are often based on targeted interventions in specific policy areas, and so risk failing to address the scale, complexity, and transnational nature of socio-technological challenges. Greater attention needs to be placed on how regulatory functions and policy tools should evolve to effectively govern technology, requiring a shift from a reactionary and rigid framework to a more anticipatory and adaptive model of governance.

Holistic and systemic versus mechanistic and linear

Some recent proposals for technology governance may offer potential solutions. The EU publication of a series of interlinked regulatory proposals – the Digital Services Act, Digital Markets Act and European Democracy Action Plan – integrates several novel and anticipatory features.

The EU package recognizes that the solutions to online harms such as disinformation, hate speech, and extremism lie in a holistic approach which draws on a range of disciplines, such as international human rights law, competition law, e-commerce, and behavioural science.

It consists of a combination of light touch regulation – such as codes of conduct – and hard law requirements such as transparency obligations. Codes of conduct provide flexibility as to how requirements are achieved by digital platforms, and can be updated and tweaked relatively easily enabling regulations to keep pace as technology evolves.

As with the EU Digital Services Act, the UK’s recent proposals for an online safety bill are innovative in adopting a ‘systems-based’ approach which broadly focuses on the procedures and policies of technology companies rather than the substance of online content.

This means the proposals can be adapted to different types of content, and differentiated according to the size and reach of the technology company concerned. This ‘co-regulatory’ model recognizes the evolving nature of digital ecosystems and the ongoing responsibilities of the companies concerned. The forthcoming UK draft legislation will also be complemented by a ‘Safety by Design’ framework, which is forward-looking in focusing on responsible product design.

By tackling the complexity and unpredictability of technology governance through holistic and systemic approaches rather than mechanistic and linear ones, the UK and EU proposals represent an important pivot from reactive to anticipatory digital governance.

Both sets of proposals were also the result of extensive multistakeholder engagement, including between policy officials and technology actors. This engagement broke down silos within the technical and policy/legal communities and helped bridge the knowledge gap between dominant technology companies and policymakers, facilitating a more agile, inclusive, and pragmatic regulatory approach.

Coherence rather than fragmentation

Anticipatory governance also recognizes the need for new coalitions to promote regulatory coherence rather than fragmentation at the international level. The EU has been pushing for greater transatlantic engagement on regulation of the digital space, and the UK – as chair of the G7 presidency in 2021 – aims to work with democratic allies to forge a coherent response to online harms.

Meanwhile the OECD’s AI Policy Observatory enables member states to share best practice on the regulation of AI, and an increasing number of states such as France, Norway, and the UK are using ‘regulatory sandboxes’ to test and build AI or personal data systems that meet privacy standards.

Not all states currently have the organizational capacity and institutional depth to design and deliver regulatory schemes of this nature, as well as the resource-intensive consultation processes which often accompany them.

So, as an increasing number of states ponder how to ‘futureproof’ their regulation of tomorrow’s technology – whether 6G, quantum computing or biotechnology – there is a need for capacity building in governments both on the theory of anticipatory governance and on how it can be applied in practice to global technology regulation.

Artificial Intelligence Apps Risk Entrenching India’s Socio-economic Inequities Expert comment sysadmin 14 March 2018

Artificial intelligence applications will not be a panacea for addressing India’s grand challenges. Data bias and unequal access to technology gains will entrench existing socio-economic fissures.

Artificial intelligence (AI) is high on the Indian government’s agenda. Some days ago, Prime Minister Narendra Modi inaugurated the Wadhwani Institute for Artificial Intelligence, reportedly India’s first research institute focused on AI solutions for social good. In the same week, Niti Aayog CEO Amitabh Kant argued that AI could potentially add $957 billion to the economy and outlined ways in which AI could be a ‘game changer’.

During his budget speech, Finance Minister Arun Jaitley announced that Niti Aayog would spearhead a national programme on AI; with the near doubling of the Digital India budget, the IT ministry also announced the setting up of four committees for AI-related research. An industrial policy for AI is also in the pipeline, expected to provide incentives to businesses for creating a globally competitive Indian AI industry.

Narratives on the emerging digital economy often suffer from technological determinism — assuming that the march of technological transformation has an inner logic, independent of social choice and capable of automatically delivering positive social change. However, technological trajectories can and must be steered by social choice and aligned with societal objectives. Modi’s address hit all the right notes, as he argued that the ‘road ahead for AI depends on and will be driven by human intentions’. Emphasising the need to direct AI technologies towards solutions for the poor, he called upon students and teachers to identify ‘the grand challenges facing India’ – to ‘Make AI in India and for India’.

To do so, will undoubtedly require substantial investments in R&D, digital infrastructure and education and re-skilling. But, two other critical issues must be simultaneously addressed: data bias and access to technology gains.

While computers have been mimicking human intelligence for some decades now, a massive increase in computational power and the quantity of available data are enabling a process of ‘machine learning.’ Instead of coding software with specific instructions to accomplish a set task, machine learning involves training an algorithm on large quantities of data to enable it to self-learn; refining and improving its results through multiple iterations of the same task. The quality of data sets used to train machines is thus a critical concern in building AI applications.

Much recent research shows that applications based on machine learning reflect existing social biases and prejudice. Such bias can occur if the data set the algorithm is trained on is unrepresentative of the reality it seeks to represent. If for example, a system is trained on photos of people that are predominantly white, it will have a harder time recognizing non-white people. This is what led a recent Google application to tag black people as gorillas.

Alternatively, bias can also occur if the data set itself reflects existing discriminatory or exclusionary practices. A recent study by ProPublica found for example that software that was being used to assess the risk of recidivism in criminals in the United States was twice as likely to mistakenly flag black defendants as being at higher risk of committing future crimes.

The impact of such data bias can be seriously damaging in India, particularly at a time of growing social fragmentation. It can contribute to the entrenchment of social bias and discriminatory practices, while rendering both invisible and pervasive the processes through which discrimination occurs. Women are 34 per cent less likely to own a mobile phone than men – manifested in only 14 per cent of women in rural India owning a mobile phone, while only 30 per cent of India’s internet users are women.

Women’s participation in the labour force, currently at around 27 per cent, is also declining, and is one of the lowest in South Asia. Data sets used for machine learning are thus likely to have a marked gender bias. The same observations are likely to hold true for other marginalized groups as well.

Accorded to a 2014 report, Muslims, Dalits and tribals make up 53 per cent of all prisoners in India; National Crime Records Bureau data from 2016 shows in some states, the percentage of Muslims in the incarcerated population was almost three times the percentage of Muslims in the overall population. If AI applications for law and order are built on this data, it is not unlikely that it will be prejudiced against these groups.

(It is worth pointing out that the recently set-up national AI task force is comprised of mostly Hindu men – only two women are on the task force, and no Muslims or Christians. A recent article in the New York Times talked about AI’s ‘white guy problem’; will India suffer from a ‘Hindu male bias’?)

Yet, improving the quality, or diversity, of data sets may not be able to solve the problem. The processes of machine learning and reasoning involve a quagmire of mathematical functions, variables and permutations, the logic of which are not readily traceable or predictable. The dazzle of AI-enabled efficiency gains must not blind us to the fact that while AI systems are being integrated into key socio-economic systems, their accuracy and logic of reasoning have not been fully understood or studied.

The other big challenge stems from the distribution of AI-led technology gains. Even if estimates of AI contribution to GDP are correct, the adoption of these technologies is likely to be in niches within the organized sector. These industries are likely to be capital- rather than labour-intensive, and thus unlikely to contribute to large-scale job creation.

At the same time, AI applications can most readily replace low- to medium-skilled jobs within the organized sector. This is already being witnessed in the outsourcing sector – where basic call and chat tasks are now automated. Re-skilling will be important, but it is unlikely that those who lose their jobs will also be those who are being re-skilled – the long arch of technological change and societal adaptation is longer than that of people’s lives. The contractualization of work, already on the rise, is likely to further increase as large industries prefer to have a flexible workforce to adapt to technological change. A shift from formal employment to contractual work can imply a loss of access to formal social protection mechanisms, increasing the precariousness of work for workers.

The adoption of AI technologies is also unlikely in the short- to medium-term in the unorganized sector, which engages more than 80 per cent of India’s labor force. The cost of developing and deploying AI applications, particularly in relation to the cost of labour, will inhibit adoption. Moreover, most enterprises within the unorganized sector still have limited access to basic, older technologies – two-thirds of the workforce are employed in enterprises without electricity. Eco-system upgrades will be important but incremental. Given the high costs of developing AI-based applications, most start-ups are unlikely to be working towards creating bottom-of-the-pyramid solutions.

Access to AI-led technology gains is thus likely to be heavily differentiated – a few high-growth industries can be expected, but these will not necessarily result in the welfare of labour. Studies show that labour share of national income, especially routine labour, has been declining steadily across developing countries.

We should be clear that new technological applications themselves are not going to transform or disrupt this trend – rather, without adequate policy steering, these trends will be exacerbated.

Policy debates about AI applications in India need to take these two issues seriously. AI applications will not be a panacea for addressing ‘India’s grand challenges’. Data bias and unequal access to technology gains will entrench existing socio-economic fissures, even making them technologically binding.

In addition to developing AI applications and creating a skilled workforce, the government needs to prioritize research that examines the complex social, ethical and governance challenges associated with the spread of AI-driven technologies. Blind technological optimism might entrench rather than alleviate the grand Indian challenge of inequity and growth.

This article was originally published in the Indian Express.