I started reading this as the news came out that someone at Google got convinced that their AI was sentient. And that's what this book is about! A researcher starts talking to his computer and gradually becomes convinced that it is "alive". It is a perennially prescient story. And it is fascinating to see how the state-of-the-art was perceived in 1972. It is in the shadow of 2001 - but much more grounded in the "now" rather than the future. It's amazing to see how it has influenced things…
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In the glorious future, every website will be chock-full of semantic metadata. Restaurants won't have a 50MB PDF explaining the chef's vision for organic cuisine - instead, they'll have little scraps of data on the HTML page like: "hasMenuItem":{ "@type":"MenuItem", "name":"Dodo In A Bun", "description":"The legendary extinct bird cooked in tomato sauce, served in a gluten-free bun.", "offers":{ …
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We forced an AI to look at thousands of photos of memorial benches. Just because. Here are the results. #gallery-1 { margin: auto; } #gallery-1 .gallery-item { float: left; margin-top: 10px; text-align: center; width: 100%; } #gallery-1 img { border: 2px solid #cfcfcf; } #gallery-1 .gallery-caption { margin-left: 0; } /* see gallery_shortcode() in wp-includes/media.php */ …
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As part of my MSc I'm taking a short course in Practical Machine Learning via QA.com. The first three days were just about basic stats visualisation using Python. It was great to have a refresher - but I would have expected that to be a pre-requisite. The tutor was excellent - very patient at explaining complex concepts. And the use of Jupyter Notebooks is a gamechanger for taught courses like this. Ultimately, it was a useful course - although I expected a lot more time to be spent on…
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"Alexa… timer for fifteen minutes." The problem with the English language is that it is full of homophones, or semi-homophones. 15 and 50 sound basically the same. Humans have a hard time distinguishing them. So there's no wonder that voice assistants also have difficulty. Recently, I've noticed that my wife and I have adopted a very specific accent when talking to our Alexa. Certain constants are emphasised, phonemes are executed with precision, and pauses between words subtly lengthened - a…
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There's been several long threads recently on Google's crappy info-box. Google doesn't want you to leave the Google page, so Google slurps information up and presents you an answer on the Google homepage. Here's what it typically looks like. OK, that's kinda useful. Search for a thing and get the info without clicking through. But there are times when it goes dreadfully wrong. Sometimes it gives dangerously misleading information. soft@softThe Google search summary vs the actual page…
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I've been experimenting with Amazon's Polly service. It's their fancy text-to-sort-of-human-style-speech system. Think "Alexa" but with a variety of voices, genders, and accents. Here's "Brian" - their English, male, received pronunciation voice - reading John Betjeman's poem "Slough": https://shkspr.mobi/blog/wp-content/uploads/2021/07/slough.mp4 The pronunciation of all the words is incredibly lifelike. If you heard it on the radio, it might sound like a half-familiar BBC presenter. It…
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One of my favourite movie moments is in the 1998 movie Antz - when one of the ants turns to camera and says: It's the workers who control the means of production! Even though we're not in the age of the Hollywood Blacklist, it's still rare to see overt - and literal - Marxism on the big screen. "The Mitchells" might be the most insightful critique of Silicon Valley and the AI hype that I've ever seen. Sure, on the one hand it's a daft kids' movie which flings memes at your face to the…
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I have a cheap WiFi enabled vacuum cleaner. One morning, I barked "ALEXA! CLEAN THE HOUSE." The gynoid immediately responded with "Now playing songs by Crowded House." The future's ace, innit? So I opened the cleaner's app, hit a button, and heard the sound of a domestic-droid doing its thing. For two minutes. The app spat out this fabulously helpful warning. I trundled downstairs to see what precarious sinkhole the mop was teetering on the edge of. Only to be met with this. My cleaner …
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From everyday apps to complex algorithms, Ruha Benjamin cuts through tech-industry hype to understand how emerging technologies can reinforce White supremacy and deepen social inequity. Benjamin argues that automation, far from being a sinister story of racist programmers scheming on the dark web, has the potential to hide, speed up, and deepen discrimination while appearing neutral and even benevolent when compared to the racism of a previous era. Presenting the concept of the “New J…
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We place a large premium on Human. Mostly because it is what we've always known. But, when given the choice, we often ditch humans for something better. Some random examples… Radio DJs Does anyone actually miss witless chatter between records? Use of Spotify suggests a large number of us don't need a Human to introduce the next record. Or hold a phone-in. Or read out dates of a gig. We might prefer a human to curate the music we listen to. But is AI any worse than Payola? TV continuity a…
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For a domain based on Shakespeare - this blog doesn't talk about The Bard much. Sorry! I forced a bot to read 154 Shakespearean Sonnets. This is what it came up with... 47 Be where thou art, thou art the sea, Till all that belongs to it turn aside, And make another land into thy heart's plot. Let those elements that should guide thy march, Make thee thy ward against the sea's cruel gale! The deep shall not hold thee afloat, The deep shall…
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