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Juha Saarinen has an end of week rumination on where technology is taking us, to good and bad places

Technology / opinion
Juha Saarinen has an end of week rumination on where technology is taking us, to good and bad places
Apposite AI generated image of a man coughing into a smartphone.
Apposite AI generated image of a man coughing into a smartphone.

If you've been knee-deep in the technology industry for as long as many of us have been, it's hard not to feel that you're part of the problem and not the solution.

Which is probably too bleak a view. There's no doubt that tech can be a force for good. Sometimes directly, like Google using artificial intelligence to diagnose tuberculosis cases. Yes, TB is still a dangerous disease that affects something like 10 million people a year.

TB is treatable, but it needs to be diagnosed. Google's Health Acoustic Representations, catchily abbreviated as HeAR, can help with that. Researchers from Big G said they trained the HeAR bioacoustics foundation model, which is a large general purpose artificial intelligence "blob" of statistical inferencing, on 300 million pieces of "audio data curated from a diverse and de-identified dataset".

A cough model - yes, that's what the researchers call it - was trained as part of the above, with around 100 million cough sounds. The sounds come from copyright free (!) sources like YouTube clips and recordings from a Zambian hospital. AI is very good at spotting patterns in data, and an app on a smartphone can be used to listen to people coughing, and help diagnose TB.

In fact, patients can simply use their mobile phones, cough, and receive a TB diagnosis with 94% accuracy.

There are many other applications of AI for healthcare, like developing promising new mRNA (messenger ribonucleic acid) vaccines; for New Zealand, the AI melanoma detection tools for doctors and dermatologists are particularly relevant and already in use.

AI for hearing aids is another. Humanity is growing increasingly hard of hearing, as the world is growing louder and louder - in no small part due to technology subjecting us to ear-battering noise levels. This is, somewhat unironically, now becoming another business opportunity for tech companies that can repurpose earbuds to help people not miss important verbal communication, with AI suppressing background noise while separating out speech. 

That's now being developed as a useful accessibility feature, along with other things like live captions and haptics (buzzing and vibrations) for alarms and alerts that might otherwise go unheard. Have a read of Apple's page on the subject of hearing accessibility.

Nothing of the above is for free, and technology doesn't take place in isolation. As has become increasingly apparent, the power requirements of AI are truly monstrous. Data centres are "pigs when it comes to energy use, and now they're the size of an elephant" as Eric Woodell told Reuters recently. Woodell is an expert on that subject whose consultancy "offers guidance to companies on how to prevent IT outages, safeguard online transactions, and protect customer data". 

That's before we get into PFAS - per- and polyfluoroalkyl substances - being used extensively to make chips, or semiconductors. The "forever chemicals" which don't break down and disappear are toxic, but we don't know quite how bad yet.

At a political level, it may seem weird that with so much room for improvement in their industry and opportunities to improve people's quality of life like, not wrecking the planet for everyone, the IT grandees have flipped right-wards, and quite openly express disturbingly unkind opinions. Elon Musk is one example, but who hurt Marc Andreesen, the coder who was instrumental in developing the Mosaic web browser that became Netscape Navigator back in the 90s?

Andreesen is now enormously wealthy. As the founder of Andreesen Horowitz the venture capitalists, the money means he's being listened to. People might even take his incoherent "techno-optimist manifesto" from last year seriously, in which among others he name checks an interesting chap from the 1900s, Filippo Tommaso Marinetti. 

Marinetti was one of the authors of the Fascist Manifesto, and you'd think openly endorsing a losing ideology like that, one which caused immeasurable suffering to humans and the world, is not something anyone would do. There you have it though, and Andreesen is not alone. 

Some of the political tilt to the right no doubt comes from the geeks becoming rich while growing old and bitter, with their already low empathy towards other people being further blunted.

Another factor is that if you're in tech, and have made a decent fist of it, you can get away with almost anything. Tech can be difficult to understand, since much of it is black box stuff: most people don't know how it works, particularly not by looking at it. Which is fine, and true for other industries as well, but it does leave the people who understand tech in a powerful position.

Sometimes though, there's no need even to understand tech. You just need to be able to convincingly repeat important sounding terms and run slide shows with numbers presented without meaningful context.

Like at a certain event recently in New Zealand, which I will not name so as to avoid give nonsense like web3 and crypto oxygen. It was attended by important people who clearly take an uncritical view of the comically bad tech in question, and never bothered to check media reports on who was sent to prison recently for money laundering. Tech is fine to pull wool over people's eyes with, but getting tricksy with money? Uh-oh. Don't try that. 

And no, I'm not going to mention Donald Trump flogging NFTs along with pieces of his suit. Oh oops, I did. If you think about it, it means Trump understands the purpose of the tech, albeit not the finer details of it.

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14 Comments

[while staring at phone] Worse. Absolutely worse.

I think AI is going to be a bit of a dud too.

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I'm avoiding AI totally, we really don't need it do we ? Social Media has also turned out for the worse.

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AI's already everywhere, from licence plate readers, spam filtering, algorithmic trading to your opponent in single player video games. Generative AI will find is niche, but does seem a bit overhyped.

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Quite - my limited experimentation is if you upload a structured data file it’s absolutely awesome at detecting patterns, graphing, summarising. If on the other hand you ask a more general question, it handles the first one, but then when you ask a follow up question it promptly flies in to the nearest hill and destroys itself.

So:

1. Data helper i.e. machine learning  - good

2. Esoteric questions - laughable

 

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I don't really think IT has materially made a difference to most people's lives because it just hasn't had much impact on productivity.

 

Now I read new on my phone instead of newspaper, share jokes on Facebook instead of at the pub, my data is saved in the cloud instead of in a photo album or folder at home but none of these things have transformed the lives of ordinary people. This isn't a globally transformative technology like the printing press was to knowledge, machine tools in manufacturing or agricultural mechanisation which meaningfully improved human life for subsequent generations.

 

The other thing is the deployment of IT in businesses has been very slow and poor. Often they've essentially mirrored manual processes so delivered no meaningful benefit to business and I've seen a lot of technology deployed that actually reduced productivity.

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I don't really think IT has materially made a difference to most people's lives because it just hasn't had much impact on productivity.

Is there a typo in here? "IT" should read "AI" maybe? Or did you mean "it" as a pronoun? Because IT (information technology) has definitely had more than a minor impact on productivity.

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Ha. Thanks guys [posties]. And I thought I was the only one to think that big tech has just captured the processes [systems] rather than enabled them or even improved things. Tech does have some great features, however, like contributing on your favourite websites as posties. Or should that be ''threadies?''

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AI is perfect for finding patterns in data, but just giving the accuracy is next to useless. Need the accuracy/precision/recall, or false negative/positive rate.

I can also give you an algorithm that will diagnose TB from coughs with >94% accuracy: Always negative. It's not a particularly useful algorithm.

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I can also give you an algorithm that will diagnose TB from coughs with >94% accuracy: Always negative. It's not a particularly useful algorithm.

Sorry bro. But that's not a convincing argument for the rejection of AI used in medical diagnostics. 

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That's not what I said. Just that quoting the accuracy for a problem like this is next to useless. The recall and precision are far more useful. My algorithm has a recall of 0, showing it is in fact useless, despite the high accuracy.

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I appreciate that there's a lot less paperwork. But everything feels dehumanised.

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It's all moving at a pace too fast for governments, society and the individuals' psyche to keep up with. And massively co-opted by the large corporations rolling it out. Can we even call it capitalism or a free market, if Amazon are algorithmically showing us what it wants us to buy?

And occuring the world over, I've spoken to people from more traditional cultures, they too notice the difference. Where the family or group would sit around a table, sharing a meal, some stories and a laugh, most everyone is now hunched over on their phones.

I guess it's going where it's going though.

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You guys just do not understand Exponential growth or improvement... that's ok more profit for me

I can think of so many opportunities to make money in this space

 

 

 

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I can think of dozens of ways to make money, with or without technology.

Do I need to, and should I? There's always a cost.

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