The wisdom of dogs
This is one of my favourite photographs. It was taken in Antibes in August 2010. We were driving along the beachfront on a blisteringly hot Sunday afternoon when I suddenly saw this scene. The owners of the little dog were lying in the sunshine, baking like sausages on a spit. And it seemed to me that their pet was reflecting on the foolishness of human animals. Smart mutt.
Quote of the Day
”Asking if a machine can think is as relevant as asking if submarines can swim.”
- Edsger Dijkstra, a great computer scientist.
Musical alternative to the morning’s radio news
Sorcha Richardson | Map of Manhattan
Long Read of the Day
Stone Age builders were good engineers.
That’s the conclusion of a study of a 6000-year old monument as reported in a recent paper published in Nature.
The Neolithic farmers and herders who built a massive stone chamber in southern Spain nearly 6,000 years ago possessed a good rudimentary grasp of physics, geometry, geology and architectural principles, finds a detailed study of the site.
Using data from a high-resolution laser scan, as well as unpublished photos and diagrams from earlier excavations, archaeologists pieced together a probable construction process for the monument known as the Dolmen of Menga. Their findings, published on 23 August in Science Advances1, reveal new insights into the structure and its Neolithic builders’ technical abilities.
A truly astonishing read. “These people had no blueprints to work with, nor, as far as we know, any previous experience at building something like this,” says study co-author Leonardo García Sanjuán, an archaeologist at the University of Seville in Spain. “And yet, they understood how to fit together huge blocks of stone” with “a precision that would keep the monument intact for nearly 6,000 years”.
My commonplace booklet
The public discourse about ‘AI’ (aka machine-learning) is messy and incoherent with everyone on a spectrum that ranges from doom/existential risk at one extreme to cynical shrugging it off as just another tech fad (like crypto, say) at the other. From the beginning I’ve been pragmatic about the technology: the thing it first reminded me of was the spreadsheet — and it looked to me to be really just a new tool for human ‘augmentation’ as dear old Doug Engelbart would have put it.
I still see it that way, but am sometimes berated by sceptics with talk of ‘hallucinations’, the alleged absence of real use-cases for the technology and so on.
All of which is by way of explaining why I welcomed something posted this week by Andrew Jassy, the CEO of Amazon and someone who really does know about use-cases. Here’s his post:
One of the most tedious (but critical tasks) for software development teams is updating foundational software. It’s not new feature work, and it doesn’t feel like you’re moving the experience forward. As a result, this work is either dreaded or put off for more exciting work—or both.
Amazon Q, our GenAI assistant for software development, is trying to bring some light to this heaviness. We have a new code transformation capability, and here’s what we found when we integrated it into our internal systems and applied it to our needed Java upgrades:
The average time to upgrade an application to Java 17 plummeted from what’s typically 50 developer-days to just a few hours. We estimate this has saved us the equivalent of 4,500 developer-years of work (yes, that number is crazy but, real).
In under six months, we’ve been able to upgrade more than 50% of our production Java systems to modernized Java versions at a fraction of the usual time and effort. And, our developers shipped 79% of the auto-generated code reviews without any additional changes.
The benefits go beyond how much effort we’ve saved developers. The upgrades have enhanced security and reduced infrastructure costs, providing an estimated $260M in annualized efficiency gains.
This is a great example of how large-scale enterprises can gain significant efficiencies in foundational software hygiene work by leveraging Amazon Q. It’s been a game changer for us, and not only do our Amazon teams plan to use this transformation capability more, but our Q team plans to add more transformations for developers to leverage.
Of course that particular use of the technology is very specific. But the numbers are impressive, and I think credible.
Linkblog
Something I noticed, while drinking from the Internet firehose.
- My First Trip to Norway, With A.I. as a Guide. A NYT journalist asked three ‘AI’ travel planners for advice, and then wrote it up. As someone who doesn’t do package holidays, cruises (or guided tours), this wouldn’t appeal to me. But maybe it works for some people.
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