Thought Shrapnel

After some success ‘vibe coding’ both Album Shelf and a digital credentials issuing platform called Badge to the Future, I’ve run a couple of sessions called ‘F*ck Around and Find Out’ relating to AI. I also knocked up a career discovery tool.

I’m sharing all of these links because I think people should be experimenting with generative AI to see what it can do and where the ‘edges’ are. I said as much when recording a episode for Helen Beetham’s imperfect offerings podcast which I’m hoping will come out soon.

Discussing some of this on the All Tech is Human Slack, Noelia Amoedo shared this post from her blog. After experimenting with other tools, she like me has settled on Lovable. I used the $50/month tier last month as I ran out of prompts on the $20/month level. You do get some for free.

What I think is explicit in Noelia’s post is the potential decentralisation of power this enables. What is implicit is that it takes curiosity to do this. As I signed off Helen’s podcast as saying (spoiler alert!) “my experience has been that most people are intellectually lazy, extremely uncurious, and want to take something off the shelf, implement it without too much thought, and be considered ‘innovative’ for doing so.”

You might say that being “intellectually lazy” is using AI. But I disagree. So long as you’re not just getting it to answer an essay question or come up with a some trite, fascist-adjacent imagery, then interacting with it involves choice (which model? what prompt?) and creativity.

I settled on Lovable, a Swedish company. The fact that they were European may have influenced my decision… or did I realize that later? I did subscribe, but only for a month (I seem to have learned to moderate my impulses just a bit). I took advantage of a business trip to write the code for my website, and I worked on it between meetings over two days. It must have taken about four or five hours overall, but it could have been done in one or two hours if the content had been ready when I started. It is possibly longer than what it would have taken with WordPress, I admit, but it gave me so much flexibility! I also own the code and I can take it anywhere. I did have to figure out some “techy” things, like how to turn the JavaScript7 code into something that I could upload to my hosting service, but Lovable was right there to provide any instructions I needed, and I have to confess I enjoyed bossing him (it!!!) around to change things here or there.

Asking for something in your own words and getting it done instantly almost feels like magic, just as graphical user interfaces felt magical when we were used to command lines. And if graphical user interfaces opened the digital world to so many people who were not digital till then, conversational user interfaces are already doing the same so much faster.

[…]

I can’t help but wonder: Could this be a way to decentralize and give digital power back to the people? Could small digital companies have a better shot at long-term survival in the new ecosystem that rises, or will power end up even more concentrated? Will this bring tighter software thanks to expert computer scientists empowered by AI, or will the digital space degrade due to a bunch of “spaghetti code” that is difficult to understand and maintain? Will no-code builders like Replit or Lovable bring people closer to understanding code, or will they have the opposite effect?

I have no answers, but let me just say that my curiosity brought me closer to the code than I had ever been in 25 years, and I’d encourage you to do the same: get just a bit closer from wherever your starting point may be. Just seek to understand, and remember we understand a lot by doing. The world is changing very quickly, and the new AI wave will most likely affect you whether you want it or not. You may as well understand what’s coming, and as we would say in Spain, take the bull by the horns.

Source: Noel-IA’s Substack

Image: Snapcat by Oleksandra Mukhachova & The Bigger Picture

Thanks to Patrick Tanguay who commented on one of my LinkedIn updates, pointing me towards this post by Simon Willison.

Patrick was commenting in response to my post about ‘openness’ in relation to (generative) AI. Simon has tried out an LLM which claims to have the full stack freely available for inspection and reuse.

He tests these kinds of things by, among other things, getting it to draw a picture of a pelian riding a bicycle. The image accompanying this post is what OLMo 2 created (“refreshingly abstract”!) To be fair, Google’s Gemma 3 model didn’t do a great job either.

It’s made me think about what an appropriate test suite would be for me (i.e. subjectively) and what would be appropriate (objectively). There’s Humanity’s Last Exam but that’s based on exam-style knowledge which isn’t always super-practical.

mlx-community/OLMo-2-0325-32B-Instruct-4bit (via) OLMo 2 32B claims to be “the first fully-open model (all data, code, weights, and details are freely available) to outperform GPT3.5-Turbo and GPT-4o mini”.

Source: Simon Willison’s Weblog

I like all of what I’ve read of Adam Mastroianni’s work, but I love this. I’d enthusiastically encourage you to go and read all of it.

Mastroianni discusses a time when he went for a job interview as a professor, realising that he had a couple of choices. He could be himself, or wear a mask. Ultimately, he decided to be himself, didn’t get the job, but everything was fine.

From there, he talks about the some of the benefits and drawbacks of conformance as a species, noting that taking the mask off is incredibly liberating. I know this from experience, as it was the exact advice given to me by my therapist in 2019/20 and, guess what? Afterwards some people thought I was an asshole. But then, so did people before. At least I know where I’m at now.

[H]istorically, doing your own thing and incurring the disapproval of others has been dangerous and stupid. Bucking the trend should make you feel crazy, because it often is crazy. Humans survived the ice age, the Black Plague, two world wars, and the Tide Pod Challenge. 99% of all species that ever lived are now extinct, but we’re still standing. Clearly we’re doing something right, and so it behooves you to look around and do exactly what everybody else is doing, even when it feels wrong. That’s how we’ve made it this far, and you’re unlikely to do better by deriving all your decisions from first principles.

Maybe there are some lucky folks out there who are living Lowest Common Denominators, whose desires just magically line up with everything that is popular and socially acceptable, who would be happy living a life that could be approved by committee. But almost everyone is at least a little bit weird, and most people are very weird. If you’ve got even an ounce of strange inside you, at some point the right decision for you is not going to be the sensible one. You’re going to have to do something inadvisable, something alienating and illegible, something that makes your friends snicker and your mom complain. There will be a decision tucked behind glass that’s marked “ARE YOU SURE YOU WANT TO DO THIS?”, and you’ll have to shatter it with your elbow and reach through.

[…]

When you make that crazy choice, things get easier in exactly one way: you don’t have to lie anymore. You can stop doing an impression of a more palatable person who was born without any inconvenient desires. Whatever you fear will happen when you drop the act, some of it won’t ultimately happen, but some will. And it’ll hurt. But for me, anyway, it didn’t hurt in the stupid, meaningless way that I was used to. It hurt in a different way, like “ow!…that’s all you got?” It felt crazy until I did it, and then it felt crazy to have waited so long.

Source: Experimental History

Image: JOSHUA COLEMAN

The above Boston Dynamics video is currently doing the rounds, with yet more human-like movement. It’s pretty impressive.

The usual response to this kind of thing is amusement tinged with fear. But, as with everything, it’s the systems within which these things exist that are either problematic or unproblematic. For example, we have zero problem with these being part of a research facility; we might have reservations if they were used in military situations. But then, we use drones in combat these days?

All of which to say: there are many dangerous and scary things in the world, and there are many dangerous and scary people in the world. The way we deal with these in a sustainable and low-drama way is through policies and process. So, unless I have reason to believe otherwise, I’m going to imagine the robots in these videos doing the jobs that currently require humans doing things that might endanger their health, such as rescuing people from burning buildings, inspecting nuclear reactors, and even doing very repetitive tasks under time pressure in warehouses.

Yes, AI and robots are going to replace jobs. No, it’s not the end of the world.

[L]est we forget who’s been at the forefront of humanoid research for more than a decade, Boston Dynamics has just released new footage of its stunning Atlas robot taking natural-looking motion to yet another level.

[…]

As humans learn to walk, run and move in the world, we start anticipating little elements of balance, planning ahead on the fly in a dynamic and changing situation. That’s what we’re watching the AIs learn to master here.

The current explosion in humanoid robotics is still at a very early stage. But watching Atlas and its contemporaries do with the physical world what GPT and other language models are doing with the world of information – this is sci-fi come to life. […]

These things will be confined to factories for the most part as they begin entering the workforce en masse, but it’s looking clearer than ever that humans and androids will be interacting regularly in daily life sooner than most of us ever imagined.

Source: New Atlas

Yes, yes, more AI commentary but this is a really good post that you should read in its entirety. I’m zeroing on one part of it because I like the analogy of Silicon Valley looking less like capitalism and more like the nonprofit space.

TL;DR: just as we haven’t got fully self-driving cars yet, or any of the other techno-utopian/dystopian technology that was promised years ago, so we’re not about to all be immediately replaced by AI.

Yes, it’s going to have an impact. And, of course, lazy uncurious people are going to use it in lazy uncurious ways. But, the way I see it, we should be more interested in the structures behind the AI bubble. Because although there is useful tech in there, it remains a bubble.

In many ways, Silicon Valley looks less like capitalism and more like a nonprofit. The way you get rich isn’t to sell products to consumers, because you’re likely giving away your product for free, and your customers wouldn’t pay for it if you tried to charge them. If you’re a startup, and not FAANG, the way you pay your bills is to convince someone who’s already rich to give you money. Maybe that’s a venture capital investment, but if you want to get really rich yourself, it’s selling your business to one of the big guys.

You’re not selling a product to a consumer, but selling a story to someone who believes in it, and values it enough to put money towards it. That story of how you can change the world could be true, of course. Plenty of nonprofits have a real and worthwhile impact. But it’s not the same as getting a customer to buy a product at retail. Instead, you’re selling a vision and then a story of how you’ll achieve it. This is the case if you go to a VC, it’s the case if you get a larger firm to buy you, and it’s the case if you’re talking ordinary investors into buying your stock. (Tesla’s stock price is plummeting because Musk’s brand has made Tesla’s brand toxic. But Tesla’s corporate board can’t get rid of him, because investors bought Tesla’s stock—and pumped it to clearly overvalued levels—precisely because they believe in the myth of Musk as a world-historical innovator who will, any day now, unleash the innovations that’ll bring unlimited profits.) (Silicon Valley has, however, given us seemingly unlimited prophets.)

What this means for AI is that, even if the tech bros recognized how far their models are from writing great fiction or solving the trolley problem, they couldn’t admit as much, because it would deflate the narrative they need to sell.

Source: Aaron Ross Powell

Image: Maxim Hopman

You won’t see me linking to the Torygraph often, but in this case I want to show that it’s not just left-leaning very online people who are concerned about the UK’s Online Safety Act (2023) which came into force this week.

Neil Brown, a lawyer whose specialities include intenet, telecoms, and tech law, has set up a site collating information provided by Ofcom, the communications regulator. As far as I understand it, Ofcom couldn’t have done a worse job in conjuring up fear, uncertainty, and doubt. There are online forums and other spaces shutting down just in case, as the fines are huge.

This is an interesting time for WAO to be starting work with Amnesty International UK on a community platform for activists. Yet more unhelpful ambiguity to traverse. Yay.

Dozens of small internet forums have blocked British users or shut down as new online safety laws come into effect, with one comparing the new regime to a British version of China’s “great firewall”.

Several smaller community-led sites have stopped operating or restricted services, blaming new illegal harms duties enforced by Ofcom from Monday.

[…]

Britain’s Online Safety Act, a sprawling set of new internet laws, include measures to prevent children from seeing abusive content, age verification for adult websites, criminalising cyber-flashing and deepfakes, and cracking down on harmful misinformation.

Under the illegal harms duties that came into force on Monday, sites must complete risk assessments detailing how they deal with illegal material and implement safety measures to deal with the risk.

The Act allows Ofcom to fine websites £18m or 10pc of their turnover.

The regulator has pledged to prioritise larger sites, which are more at risk of spreading harmful content to a large number of users.

“We’re not setting out to penalise small, low-risk services trying to comply in good faith, and will only take action where it is proportionate and appropriate,” a spokesman said.

Source: The Telegraph

Image: Icons8 Team

There are some people who I follow who have done such interesting stuff in their lives, and whose new work continues to help me think in new ways. Buster Benson is one of these, and his latest post (unfortunately on Substack) is the beginnings of a choose-your-own-adventure style quiz about cosmology, a.k.a. “the nature of reality.”

So… I’ve been thinking a lot about cosmologies, and how in these times of chaos there seems to be a proliferation of new ways of thinking about the nature of reality springing up. If you have a few moments, can you take this short quiz and let me know which result you got, and how you feel about it?

Below you’ll find a some questions designed to help you identify and share your fundamental beliefs about the nature of reality (aka your cosmology). It’s not meant to be a comprehensive survey of all possible cosmologies, but rather a tool to help you identify your own cosmology and perhaps to spark a fun conversation with others. It’s also not meant to critique or judge any of the cosmologies for being more or less true, more or less useful, or more or less good — but rather meant to be window of observation into what beliefs exist out there amongst you all right now.

FWIW, I came out as the following, which (as I commented on Buster’s post) is entirely unsurprising to me:

Pragmatic Instrumentalism — You see scientific theories as powerful tools for prediction and control rather than literal descriptions of an ultimate reality. The value of materialism lies in its extraordinary practical utility and predictive success, not in metaphysical claims about what “really” exists. This pragmatic approach sidesteps unresolvable metaphysical debates while maintaining the full practical power of scientific methodology.

Source: Buster’s Rickshaw

Image: Good Free Photos

There’s a guy I no longer interact with because I found him too angry. But when I used to follow him, he used to talk about how Big Tech’s plan was to ‘farm’ us. It’s a very Matrix-esque metaphor, but given recent developments and collaborations between Big Tech and the government in the US, perhaps not incorrect?

Businesses like predictability. There’s nothing particularly wrong with that, per se — but, at scale, that can become a bit weird. Think, for example, how odd it is to be reduced to a single button shaped like a ‘heart’ on some social networks to be able to ‘react’ to what someone else has posted. There was a time when people would actually comment more, but the like button has reduced that.

Now, of course, some social networks allow you to ‘react’ in different ways: ‘applause’, perhaps, or maybe you might want to mark that something is ‘insightful’. We might consider doing so as being “better than nothing,” but is it? How does it rearrange our interactions with one another, allowing a particular technology platform (with its own set of affordances and norms, etc.) to intermediate our interactions?

Fast-forward to this month and, of course, Meta is experimenting with a feature that allows people to use AI to reply to posts. This is already a thing on LinkedIn. It’s going about as well as you’d expect.

AI is all over social media. We have AI influencers, AI content, and AI accounts — and, now, it looks like we might get AI comments on Instagram posts, too. What are any of us doing this for anymore?

App researcher Jonah Manzano shared a post on Threads and a video on TikTok showing how some Instagram users now notice a pencil with a star icon in their comments field, allowing them to post AI-generated comments under posts and videos.

[…]

In the video on TikTok that Manzano shared, three comment options are: “Cute living room setup!” “love the casual vibe here,” and “gray cap is so cool.” Unfortunately, all three of these are clearly computer-generated slop and take an already shaky human interaction down a notch.

It’s hard to know why you’d want to remove the human element from every aspect of social media, but Instagram seems to be going to try it anyway.

Source: Mashable

Image: Mimi Di Cianni

Warren Ellis' Orbital Operations is always worth reading, but the most recent issue in particular is a goldmine. I could post every image from it, including the Bayeux Tapestry one. But my mother reads this, and although I’m middle-aged, I still don’t want to disappoint her by including unnecessary profanity here 😅

What interests me about the above image is that this kind of re-contextualisation has been going on for so long, and massively pre-dates the internet. As someone who was a mid-teenager when first getting onto the internet, I’m too young to remember anything like this.

I need to think more about this, but, inspired by Episode #62 of the In Bed With The Right podcast, there’s a way in which you can see AI-generated imagery shared on social media by ‘conservatives’ as the fascist-adjacent version of this. Except, instead of being clever commentary, it’s lazy nostalgia-baiting.

1966: University of Strasbourg Student Union funds are lifted by Situationist sympathisers to print Andre Bertrand’s short comic RETURN OF THE DURUTTI COLUMN, which used stills from Hollywood movies in a process then termed detournement: familiar materials recontextualised in opposition (or at strange angles) to their original intent. This is something so common on the internet now that most people may not know there’s a word for it. The only useful Google hit I can find for Andre Bertrand today is, funnily enough, the Wikipedia page for an attorney who specialises in copyright law.

Source and image: Orbital Operations

You may or may not be aware that I use a service called Micro.blog to run Thought Shrapnel these days. It’s the work of a small team, who do a great job. But I bump up against the edges of it quite a lot, especially when it comes to the newsletter/digest.

So I’ve thought for a while about switching to Ghost. Not only is it Open Source, but for the last year they’ve been figuring out ActivityPub integration. That’s the protocol that underpins Fediverse apps such as Mastodon, Pixelfed, and Bonfire. Long story short, there’s a lot to think about in terms of user experience and performance, so getting it right takes a while.

They’ve just announced that those using their Ghost(Pro) hosting can try out the ActivityPub integration for the first time. I’m very tempted to switch, but the cost ($40/month for the number of subscribers we have around these parts) is putting me off. Perhaps if I encouraged more people to become supporters…?

Today we’re opening a public beta for our social web integration in Ghost. For the first time, any site on Ghost(Pro) can now try out ActivityPub.

[T]hanks for your patience! It hasn’t been easy to get this far, but we’re excited to hear what you think as you become one of our very first explorers to launch into the Fediverse.

Source: Ghost Newsletter

Image: Markus Spiske

I’m sharing this not for the functionality of site, although I’m sure it provides a useful service. Instead, I’m sharing it to demonstrate a point: on the web, you can consume content however you choose. Don’t just put up with how it’s presented to you by default! I could go on about how this a key part of developing digital literacies, but I won’t 😉

In the above gif, I’m using the built in ‘Boosts’ feature of the Arc web browser to change the extremely poor choice of a tiny 8-bit font for something… more readable. This built-in functionality is something you can achieve on other web browsers using tools such as Tampermonkey and Stylish.

Source: Job.Hunt.Works

Kenya, much like the UK, has a housing crisis. Mtamu Kililo has an unusual plan to address it: mushrooms. Having just finished Overstory, I am extremely receptive to the kind of nature-first solution that Kililo is proposing goes more mainstream.

One thing I’ve learned during my career to date is that most people are aspirational, meaning that proving that something works for rich or forward-thinking people makes it more palatable to others. For example, if the mushroom bricks discussed here feature on Grand Designs then they’re likely to get some traction.

I wish the world were different and that we could learn from societies that have lived in harmony with nature for millennia. But here we are. I hope that MycoTile is successful and creates a whole new sector of sustainable building materials using waste products. Fingers crossed!

I’m the co-founder and chief executive of MycoTile, which works to produce affordable building materials out of agricultural waste bonded with oyster-mushroom mycelium, a network of tiny filaments that forms a root-like structure for the mushroom.

[…]

MycoTile’s insulation panels have been installed in a few projects, including in student accommodation, and we have seen that the material works. It greatly reduced the sound travelling from one room to the next, and helped to regulate the temperature inside. This insulation is affordable, costing about two-thirds of the price of conventional insulation. And unlike those materials, it can be composted at the end of the building’s life.

[…] The insulation tiles are a success; now we’re working on developing a sturdy block like a brick. When we can produce a brick to build external walls and partitions, it will be a huge step towards affordable housing.

Source: Nature (archive version)

Image: Rachel Horton-Kitchlew

I’m composing this on the train on my way back home from a CoTech gathering in London. Post-pandemic, I spend 99% of my working life at home, especially now that there so few in-person events. So I was really glad to spend time among like-minded people and talk about ways we can work together a bit more.

The people I spent time with today are part of a work community. Some of them I count as friends, but none live very close to me. I am, therefore, quite detached from my geographic community, with my only really connection to the place where I live coming through shopping, my kids' sporting activities, and my (temporarily paused) gym membership.

This post by Mike Monteiro responds to a reader question about whether they can be happy even if they hate their job. Monteiro, who identifies as Gen X, harks back to his youth, talking about how school and work was compartmentalised so that people could be themselves outside of those strictures.

The problem now is that, for reasons Monteiro goes into, work invades our homes and community life, hollowing and emptying it out until it’s devoid of meaning. As a result, we have, perhaps unrealistic expectations of what work can provide for us. Except, of course, if you own your own business and work with your friends. I just wish they were nearer by and I got to hang out with them more.

Perhaps I need more offline hobbies.

When we think of our community, we’re likely to picture the people at work. Because it’s where we’re spending the majority of our time. This is by design, but it isn’t our design. It’s the company’s design. In that earlier era, when we still drank from garden hoses, losing a job sucked, but it mostly didn’t take your community with it. In this new era, losing a job means getting gutted. Not only do you lose your paycheck, but you lose access to all the people and places where you used to have your non-work-but-actually-at-work fun. And while your old co-workers will promise that you can still hang out outside work (they mean it, by the way), they’ll soon realize that they don’t really do much “outside work.”

The pandemic put a little bit of a dent in this plan, of course, because you were now working from home, but they adjusted quickly to this by keeping you on wall-to-wall Zoom calls for 12 hours a day. Which wasn’t completely sustainable (even though they said it would be) because when your zoom calls are happening on a laptop facing the window, you eventually start peeking out at what’s beyond that window, and you get curious…

Work is part of our lives, a big part to be sure, but what if it wasn’t our whole life?

They want you to return to work, to their simulation of happiness and community, because they’re afraid that if you don’t you might remember that there was a time when you were free. And you were happy. And you drank from garden hoses.

Source: Mike Monteiro

Image: NOAA

Some pretty stark charts showing the impact of the Covid-19 pandemic on the world, in this case using data about the USA. What I like about the way they’ve done this is that, for many of them, ‘trend lines’ are included which allow you to see whether things have gone back to ‘normal’ or stayed… weird.

Over here, unlike other developed nations, the UK has experienced a sharp rise in the post-pandemic number of health-related benefit claims. The number of 16 to 64 year-olds on disability benefits in England and Wales now stands at 2.9m, an increase of almost a million. Around half of those are mental-health related claims. It is ridiculous, therefore that the Labour government is planning to cut disability benefits while “help[ing] those who can work into work.” Forcing, more like.

My wife and I “celebrated” our 40th birthdays during lockdown, so the pandemic has pretty much cleaved our lives into two: there was what came before and now what has come after. At the moment, I massively preferred what came before. How about you?

Decades from now, the pandemic will be visible in the historical data of nearly anything measurable today: an unmistakable spike, dip or jolt that officially began for Americans five years ago this week.

Here’s an incomplete collection of charts that capture that break — across the economy, health care, education, work, family life and more.

Source & image: The New York Times

I’ve been following Paul Stamatiou, aka ‘Stammy’, since he was at Georgia Tech. He’s worked at Twitter, co-founded a couple of startups, and now seems to be pivoting into AI search.

What I like about Stammy’s deep dive blog posts is that he blends an understanding of technology through the lens of design with a level of pragmatism you don’t usually see. In this post, he talks about the serendipity of the web we’re increasingly losing in favour of AI answers. But, at the same time, he talks about the convenience and value of those answers, wondering if there’s another way of using these tools to serve human curiosity.

To my mind, there’s a design angle here on the ‘supply’ side, but there’s also an opportunity to cultivate AI literacies in order to use these kind of tools effectively.

Browsing with traditional search engines wasn’t exactly seamless but you were in the driver’s seat. You would occasionally end up on some obscure personal site or forum that was unexpectedly right up your alley.

Those magical detours defined our web experience, enriching us with insight and creativity while establishing human connections. Today’s instant answers with these AI tools sacrifice this beautiful chaos that once made the internet so captivating. But there’s hope—a new kind of browsing experience might just be around the corner.

[…]

Serendipity while browsing the web wasn’t just a byproduct of how the web began to form. It stretched our empathy by exposing us to diverse voices, nudged us out of echo chambers, and kept our web from becoming monotonous.

That style of surfing the web is fading away. What social media hasn’t already taken over, or search engines haven’t already diluted by sending us to ad-laden mainstream sites, is now steadily being eroded by AI-powered answer engines.

[…]

Today’s AI answer engines face fundamental challenges that go beyond the feeling of nostalgia for the old web, surfacing some bespoke notion about serendipitous discovery, or wanting more indie content bubbled up. The real issues—weak attribution, black-box decision-making, and homogenized responses—threaten to flatten rather than enrich how we use the web. Browsing the web isn’t and shouldn’t be a one size fits all experience.

The current generation of AI tools faces a prodigious challenge: how can they surprise and delight you when they know almost nothing about you?

[…]

AI personalization doesn’t have to be about consuming every detail of your life or cloning yourself. We’ve fended off giving too much personal data to individual companies, why start now? You don’t need to be digitally cloned to help you throughout your day. Even a little bit of info about your past interactions, goals, and interests can go a long way to delivering experiences that resonate more deeply with you.

[…]

Even with light personalization, AI answer engines could meaningfully tailor their responses to you. They would know you’re very technical and experienced with the topic at hand to skip the basics and dive deeper into technical concepts. They would know you’ve been writing about technology for 20 years and really enjoy the underlying ways things work and always want that deeper understanding. And so many other things that might seem like minute details at first, but combined really add up.

[…]

The magic of browsing the web isn’t quite gone, but it’s waiting to be reinvented.

Source & image: Paul Stamatiou

As people who read my weeknotes will be aware, I’ve got some kind of undiagnosed heart condition going on at the moment. This has meant that I’ve gone from running three times per week (20-25km) and hitting the gym three times a week, to not being able to walk very far without my heart rate spiking.

This week, I’ve had Angina and arrhythmia ruled out, but I’ve got to have further tests such as an echocardiogram and MRI. The consultant said that he was going to be “open and honest” with me that “it might take a long time” to figure out what’s wrong with me, and that I’m going to have to make some “lifestyle changes.”

NHS staff are under pressure and, for the most part, do a great job. They don’t have a long time to spend with patients, which is why I’ve started using AI tools such as Perplexity to investigate my symptoms. It’s important to know that this is alongside the tests I’m having done; unless I go private (not going to happen) I’ve got a bit of wait time before my next tests.

I know that some people reading this will be shocked that I would discuss my health details with an LLM. But, I would say, don’t knock it until you’ve tried it. I run one of the world’s most secure operating systems on my mobile device, but I’m telling some AI about my medical issues? Yep. I contain multitudes.

In the post I’ve excerpted below, Brett McKay from The Art of Manliness gives 30 ways in which AI can help make your life easier. I’ve used about half of them. But, even if you use private mode, a temporary window, a local LLM or some other way of obfuscating your identity, I’d give it a try.

There are some legit concerns to have about AI, to be sure. It’s not always accurate and not yet great at everything. But if used in the right way and with the right stance, AI can be really handy, improving your life and making it better and easier. It’s like having a personal assistant without paying personal assistant prices.

[…]

Figure out a health issue. I’ve replaced Dr. Google with Dr. ChatGPT. I’ll just type in my symptoms (and sometimes upload a picture — don’t forget that AI can analyze images!) and ask ChatGPT about the potential causes. For example, I’ve been having some pain in my quads lately. I couldn’t determine if it was a muscle strain or a tendon issue. So I told ChatGPT where my pain was, what the pain felt like, when I experienced it, and what precipitated the pain. ChatGPT helped me figure out that I’m dealing with a muscle strain and not a tendon issue. My daughter had some bumps show up on her foot the other week, and I couldn’t tell what it was. So I snapped a pic, uploaded it to ChatGPT, and asked, “What is this?” ChatGPT ruled it a bug bite. Should you rely on ChatGPT to diagnose you for big issues? No, but it can help you troubleshoot minor problems and know when to consult a healthcare provider (when in doubt, go see a doc!).

Explain medical test results. I’ve used ChatGPT to help explain medical test results I’ve gotten in terms I can understand. My father-in-law recently got an EKG and the cardiologist only spent a few minutes giving him a cursory explanation of the results. My FIL then went home and ran the results through AI, which gave him a lot more details.

Source: The Art of Manliness

Image: Elise Racine / Better Images of AI

Ben Buchanan, until recently the Biden administration’s AI special adviser, joins Ezra Klein to discuss lots of things about AI in the past, present, and future. It’s particularly interesting because, as Klein points out, Buchanan “is not a guy working for an A.I. lab. So he’s not being paid by the big A.I. labs to tell you this technology is coming.”

There’s a lot of US-specific conversation, but I’m most interested in the impact on labour markets, which I think we’re already seeing even with Artificial General Intelligence (AGI), and the rise of the surveillance state.

One of the things which is most markedly different between my childhood and that of my two teenagers is the amount of surveillance and tracking of everyday life which is seen as ‘normal’. Even small, relatively prosaic things, such as messaging app showing by default that a message has been ‘read’. Or location tracking, whether it’s via Snap Maps, ANPR cameras on roads, or CCTV in city centres.

As mentioned in a previous post, you need to be very careful about norms, policies, and laws you encode into AI enforcement / policing / standardisation.

I would decompose this question about A.I. and autocracy or the surveillance state into two parts.

The first is the China piece of this. How does this play out in a state that is truly, in its bones, an autocracy and doesn’t even make any pretense toward democracy?

I think we could agree pretty quickly here that this makes very tangible something that is probably core to the aspiration of their society — of a level of control that only an A.I. system could help bring about. I just find that terrifying.

As an aside, there’s a saying in both Russian and Chinese: “Heaven is high, and the emperor is far away.”

Historically, even in those autocracies, there was some kind of space where the state couldn’t intrude because of the scale and the breadth of the nation. And in those autocracies, A.I. could make the force of government power worse.

Then there’s the more interesting question in the United States: What is the relationship between A.I. and democracy?

I share some of the discomfort here. There have been thinkers, historically, who have said that part of the ways we revise our laws is when people break the laws. There’s a space for that, and I think there is a humanness to our justice system that I wouldn’t want to lose.

We tasked the Department of Justice to run a process and think about this and come up with principles for the use of A.I. in criminal justice. In some cases, there are advantages to it — like cases are treated alike with the machine.

But also there’s tremendous risk of bias and discrimination and so forth because the systems are flawed and, in some cases, because the systems are ubiquitous. And I do think there is a risk of a fundamental encroachment on rights from the widespread unchecked use of A.I. in the law enforcement system that we should be very alert to and that I, as a citizen, have grave concerns about.

Source: The Ezra Klein Show (archived version)

Image: Emily Rand & LOTI

I’m kind of sick about posting about AI so much, but I did want to point out something with another new thing. This video is for Manus “a general AI agent that bridges minds and actions: it doesn’t just think, it delivers results.” Apparently, you can just leave it to do things for you. Except, erm, you can’t.

Here’s the promo video:

Notice that the three examples are essentially about ranking, whether that’s people, property, or stocks. Also, are all of the fake job applicants it shows male? As TechCrunch found, doing something else which probably should be pretty straightforward, causes some showstopping problems.

“Glimpses of AGI,” indeed 🙄

I asked the platform to handle what seemed to me like a pretty straightforward request: order a fried chicken sandwich from a top-rated fast food joint in my delivery range. After about 10 minutes, Manus crashed. On the second attempt, it found a menu item that met my criteria, but Manus couldn’t complete the ordering process — or provide a checkout link, even.

Manus similarly whiffed when I asked it to book a flight from NYC to Japan. Given instructions that I thought didn’t leave much room for ambiguity (e.g. “look for a business-class flight, prioritizing price and flexible dates”), the best Manus could do was serve up links to fares across several airline websites and airfare search engines like Kayak, some of which were broken.

Hoping the next few tasks might be the charm, I told Manus to reserve a table for one at a restaurant within walking distance. It failed after a few minutes. Then I asked the platform to build a Naruto-inspired fighting game. It errored out half an hour in, which is when I decided to throw in the towel.

Source and image: TechCrunch

WAO wrote a report on Harnessing AI for environmental justice which serves as the background to this post by Christian Graham from Friends of the Earth. He points out that LLMs can be problematic in terms of human progress in at least a couple of important ways.

First, referencing existing norms and frameworks could make it more difficult for new, exciting, and innovative ideas to break through. Second, AI enforcement / policing / standardisation could make it difficult for us to correct course away from a problematic trajectory.

It’s well worth a read. Even though I’ve found LLMs to be extremely useful as a ‘thought partner’ for coming with new angles on existing problems, I’m not sure the majority of people would use them in such a nuanced way. After all, the US Secretary of State is already threatening to use AI to revoke visas of foreign students who appear “pro-Hamas”.

(On a more prosaic level, can we expect much nuance when, last month, ‘Google’ was the sixth most-searched term… on Google? People, including politicians and policymakers, value convenience even/over everything else)

No one built this to be unjust. It’s just an AI doing its job: optimising for carbon cuts, personal accountability and cold, hard data. Yet baked into it are early 21st-century blind spots: climate as your burden, not the system’s. And AI as some impartial oracle.

This is technological lock-in. Not a grand conspiracy, but a thousand quiet choices, hardening into a future we can’t easily unwrite.

[…]

[S]tability isn’t always a good thing. The same features that make AI useful could also make it inflexible, resistant to new ideas and blind to the possibility of better alternatives:

• Old biases risk becoming permanent – AI trained on today’s moral and economic frameworks might prioritise corporate-led sustainability initiatives over grassroots action or overvalue GDP growth as the main measure of success.
• Future breakthroughs could struggle to take hold – Just as a Victorian-trained AI might have discouraged Darwin from publishing, future scientists, activists, and policymakers could find themselves fighting against AI-driven inertia.
• AI governance might become self-referential – If AI models continually cite their own outputs as authoritative sources, they could create self-reinforcing knowledge loops, making early 21st-century assumptions feel like eternal truths.
• Technology stops being a tool for change – If AI systems shape environmental, legal, and economic policies based on past precedent, it becomes harder for movements that challenge the status quo to gain traction. Instead of being a force for progress, AI becomes a force for keeping things exactly as they are.

We can already see early signs of this happening. AI is being used in policing in ways that prioritise past data  over future possibilities. The more we embed today’s norms into these systems, the harder it will be to course-correct later.

Source: Friends of the Earth

Image: Jamillah Knowles & We and AI

Bryan Mathers is a friend, WAO collaborator, and creator of the Thought Shrapnel logo. He has an occasional newsletter which is always a ray of sunshine in my inbox. His latest, in particular, was delightful.

If I check in with myself at all in the mornings, it’ll be to figure out what I call my ‘emotional temperature’. This approach is much more granular, nuanced and considered. I like it!

Even though there’s a chance that over time I’ll extend these reflecto-glyphs so that it takes me two hours to get started in the morning, I quite like the little rhythm that I’ve found. Saying hello to the morning, and adopting the curious position of “well what have we here?” to the day ahead. Otherwise, I’m a sucker for the first distraction or burning issue that the day presents, and a hostage to the irrational anxieties that lie at the back of my head…

Source: The Visual Thinker