Flight Tracking in Messages (and Anywhere Data Detectors Work)
cnet.com/tech/mobile/you-can-track-any-flight-directly-from-your-iphones-text-messages/
By John Gruber
cnet.com/tech/mobile/you-can-track-any-flight-directly-from-your-iphones-text-messages/
lbc.co.uk/news/new-cars-fitted-automatic-speed-limiters-this-week/
Daring Fireball
• Daring Fireball Department of Commerce
Imagine you could go back in time when Alex Bell started his phone company. Imagine for a moment that you could have owned a piece of his network. Well, you can’t. Until someone invents a time machine. Which they haven’t. What you can do however is own a piece of the next telecom juggernaut. Dabba is a low cost broadband internet service provider in India owned and powered by FAANG engineers and startup founders from around the world. Check it out, it’s the time machine you wish you had.
My thanks to BriefLook for sponsoring last week at DF. BriefLook is a clever iPhone app that does one thing and does it well: it summarizes your postal (paper) mail. Just point your iPhone camera at a letter, and boom, a few moments later you get an AI-generated summary. Who it’s from, what it’s about, and what you’re expected to do about it. That’s useful for summarizing long letters in your own native language, but BriefLook can read and translate between dozens of languages. Truly an amazing use case for AI. Not too long ago a “universal mail translator / summarizer” was the stuff of science fiction. Now you can carry one in your pocket.
Download BriefLook and try it free of charge. Super useful, yet so utterly simple.
Andy Allen:
Figma AI looks rather heavily trained on existing apps.
This is a “weather app” using the new Make Designs feature and the results are basically Apple’s Weather app (left). Tried three times, same results.
This is even more disgraceful than a human rip-off. Figma knows what they trained this thing on, and they know what it outputs. In the case of this utter, shameless, abject rip-off of Apple Weather, they’re even copying Weather’s semi-inscrutable (semi-scrutable?) daily temperature range bars.
“AI” didn’t do this. Figma did this. And they’re handing this feature to designers who trust Figma and are the ones who are going to be on the hook when they present a design that, unbeknownst to them, is a blatant rip-off of some existing app.
Maybe now that the Adobe deal fell through, Figma is looking to sell itself to Samsung?
John Moltz returns to the show for a holiday-week look at the best of recent prestige streaming content, particularly Apple TV+. And, yes, a bit on the latest Apple/EU/DMA drama.
Sponsored by:
workos.com/?utm_source=daringfireball&utm_medium=display&utm_campaign=q12024
My thanks to WorkOS for sponsoring last week at Daring Fireball. WorkOS is a modern identity platform for B2B SaaS. Start selling to enterprise customers with just a few lines of code. Ship complex features like SSO and SCIM (pronounced skim) provisioning in minutes instead of months.
Today, some of the fastest growing startups are already powered by WorkOS, including Perplexity, Vercel, and Webflow.
For SaaS apps that care deeply about design and user experience, WorkOS is the perfect fit. From high-quality documentation to self-serve onboarding for your customers, it removes all the unnecessary complexity for your engineering team.
Quinn Nelson, esteemed host of Snazzy Labs, returns to the show to recap the highlights of WWDC: Apple Intelligence, platform updates, and the latest salvos from the EC regarding Apple’s compliance with the DMA.
Sponsored by:
bleepingcomputer.com/news/microsoft/microsoft-edge-just-got-a-super-duper-secure-mode-upgrade/
To put it in Steven Sinofsky’s terms, gatekeeping is a fundamental aspect of Apple’s brand promise with iOS.
Apple is focusing on what it can do that no one else can on Apple devices, and not really even trying to compete against ChatGPT *et al.* for world-knowledge context. They’re focusing on unique differentiation, and eschewing commoditization.
The whole point of the public web is that it’s there to learn from — even if the learner isn’t human. Is there a single LLM that was *not* trained on the public web? To my knowledge there is not, and a model that is ignorant of all information available on the public web would be, well, pretty ignorant of the world.