Knife of Dreams is ~800 pages. The prologue is 93 pages. 🤨
Yes, reading the Wheel of Time. It’s actually better than I had remembered, and pretty enjoyable, but I’ve been pretty ruthless about skipping things that seem to be excessively descriptive.
Knife of Dreams is ~800 pages. The prologue is 93 pages. 🤨
Yes, reading the Wheel of Time. It’s actually better than I had remembered, and pretty enjoyable, but I’ve been pretty ruthless about skipping things that seem to be excessively descriptive.
I’m honestly not sure it’s possible to build a worse time-entry user experience than Netsuite’s. It’s actually kind of impressive.
Smart activities have turned into a great feature, especially while traveling. Flighty, Overcast, and Lyft/Uber all have super-useful live activities. Any others you are using?
Mimestream 1.3 has deep links! Sending emails to Todoist is really going to work. 🙏
So, we got an EV. The old car (which we are going to sell) is a Mazda 3, that I always felt was responsive and fun to drive. It now feels like running in a swimming pool. I didn’t quite realize how much better electric drive really is.
Guess it’s time to start with regular neck workouts. #AppleVisionPro
The loading time is the primary thing that makes Apple New+ unusable. I don’t understand how they could have let this design out. Does it load faster in California?
If you’re using a swiping keyboard, be aware that “dataviz” is very very close to “satanic”.
If you’re going to destroy an $80 billion organization over AI fears, at least have the decency to stick to your principles. 😬
Well. That was an interesting weekend, wasn’t it?
It occurs to me the important thing about the hype cycle isn’t just where we are, but how high and low we expect the peak, valley, & equilibrium to be. Two contrasting expectations:
Blockchain: high peak, low valley, low equilibrium
GenAI: high peak, high valley, high equilibrium
It occurs to me the important thing about the hype cycle isn’t just where we are, but how high/low we expect the peak, valley, & equilibrium to be. Two contrasting expectations:
Blockchain (pictured): high peak, low valley, low equilibrium
GenAI: high peak, high valley, high equilibrium
🧑💻
It occurs to me the important thing about the hype cycle isn’t just where we are, but how high/low we expect the peak, valley, & equilibrium to be. Two contrasting expectations:
Blockchain (pictured): high peak, low valley, low equilibrium
GenAI: high peak, high valley, high equilibrium
🧑💻
The team at Mindset is looking at the Clean UI5 concept and book, which was discussed a year ago during SAP’s Devtoberfest. Seems like nothing much has happened since then? That’s too bad.
Meanwhile, Clean ABAP has a fairly robust ongoing community discussion based around it’s Git repository. 🧑💻
Am I starting to read the Wheel of Time again? Yes. Did I forget that these books are approximately a bajillion pages long? Not really, but effectively yes.
If I build a user experience survey in such a way that people who care about user experience have a physical reaction to it, will it influence my results? Yes, SAP BTP Cockpit team. Yes it will. 🧑💻
Listening to @ismh@mastodon.social on the Connected podcast not know what a skyway is sure is something. “A tunnel suspended above the ground.” 🤣
DSAG position paper: Artificial intelligence (AI) - dsag.de is an interesting read to get a grasp on what the German user-group is thinking about this stuff. More focused on licensing and commercial models than use-cases, but that is to be expected from DSAG. 🧑💻
Finished reading: Piranesi by Susanna Clarke 📚
My team has been working with CoPilot, and working on building SAP-aware in-line assistants (which can be really great, it turns out). Some of this post on ways in-line assistance can hurt definitely hits home. 🧑💻
My team has been working with CoPilot, and working on building SAP-aware in-line assistants (which can be really great, it turns out). Some of this post on ways in-line assistance can hurt definitely hits home.
Foundation season two is what it should have been from the beginning. It was good, sometimes great, throughout and didn’t disappoint with the conclusion.
Pretty happy the RAG (retrieval augmented generation) acronym is now in widespread use. It accurately describes most enterprise uses of LLMs accurately. Prior to this, people talked a lot about augmenting a model with embeddings, and I think that caused a lot of misunderstandings. 🧑💻
Looks like an anti-caste-discrimination bill has been introduced in California. Seems clear that it’s a problem, and legal protection sounds like a good step.
My assumption is that this is a major problem in the SAP space, just like the larger tech ecosystem, but I rarely see it discussed. 🧑💻
Science is highly political (both internally and externally), and has been since its inception. I always find it interesting that one of science’s most effective political tactics is to pretend to be apolitical.