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"The news was not lost on IBM and prompted the company to create the PC and Mitch Kapor to write the Lotus 1-2-3 spreadsheet program for it. Eventually, Microsoft wrote its own version and called it Excel, which now runs on every machine in every office in the developed world. It went from being an intriguing but useful augmentation of human capabilities to being a mundane accessory - not to mention the reason why Kat Norton (aka "Miss Excel") allegedly pulls in six-figure sums a day from teaching Excel tricks on TikTok. The odds are that someone, somewhere is planning to do that with ChatGPT. And using the bot to write the scripts."

"No, really, it's possible that Microsoft's Excel is the most dangerous software on the planet. Yes, more dangerous than rogue code running a nuclear power plant, than the Stuxnet that was deliberately sent off to sabotage Iran's nuclear program, worse, even, than whatever rent in the fabric of space time led to the invention of Lolcats. Really, that serious."

"But while CSV files can be any size, Microsoft Excel files can only be 1,048,576 rows long - or, in older versions which PHE may have still been using, a mere 65,536. When a CSV file longer than that is opened, the bottom rows get cut off and are no longer displayed. That means that, once the lab had performed more than a million tests, it was only a matter of time before its reports failed to be read by PHE."

SilliBilliBoi - this is excellent for you to use in your EE

"An algorithm has no tastebuds; a neural net never gets the munchies. So can a robot brain really tell us what we'll want to eat? The question is whether AI systems will be able to excel in the sensual, creative work of tasting and developing new foods - and what we stand to gain or lose by inventing foods that really have our number."

"How can we help kids excel at the things that humans will always do better than AI?" Great talk - she also presented at recent IB conference in Yokohama.

"Fluent in Digital Culture - Not Academic Tools"

"Some might scoff at this, and point out that news organisations make their own mistakes all the time - more consequential than my physicist/physician howler, if less humiliating. But cases of bad journalism are almost always warped representations of the real world, rather than missives from an imaginary one. Crucially, if an outlet gets big things wrong a lot, its reputation will suffer, and its audience are likely to vote with their feet, or other people will publish stories that air the mistake. And all of it will be out in the open. You may also note that journalists are increasingly likely to use AI in the production of stories - and there is no doubt that it is a phenomenally powerful tool, allowing investigative reporters to find patterns in vast financial datasets that reveal corruption, or analyse satellite imagery for evidence of bombing attacks in areas designated safe for civilians. There is a legitimate debate over the extent of disclosure required in such cases: on the one hand, if the inputs and outputs are being properly vetted, it might be a bit like flagging the use of Excel; on the other, AI is still new enough that readers may expect you to err on the side of caution. Still, the fundamental difference is not in what you're telling your audience, but what degree of supervision you're exercising over the machine."

Interoperability in the healthcare system is the gateway to a successful healthcare information exchange. It has excellent benefits like it improves clinical decision-making and reduces time wasting. However, even though there are many attempts to implement the policy, interoperability still has barriers that stop it from success. There are still some third parties that use this for financial gains. Also, the people struggle with the technical and practical challenges of the protocol. Plus, privacy and trust are not truly gained in terms of the privacy and security of those data exchanges.