Unfortunate that Google Drive cannot render Markdown on the web, and on mobile refuses to display the content at all!
1
2
58
Wonder how much this and other tasks actually cost in inference. Is it possible to make a consumer agent that can cover the costs if not subsidized by VC?
My boyfriend and I got on the Jumbotron last night at the US Open and he wanted the footage. I told him impossible but I’ll ask Instinct bc why not. And of course, Instinct got us the video in 18 hours.
Here's what it did (1/5)
104
I don't want to be rude, but come on, how is it possible that you proudly show this to people?
Celebrating small wins is hardwired into "Achieve," our goal-tracking sample app.
We wanted the simple act of checking off a task to feel like a celebration. Instead of the standard #Material ripple, we used Styles to drop in a custom, high-contrast completion animation—specifically, a brand-colored ring that expands and fades on tap, paired with a subtle pressed-state gradient.
It lets us focus entirely on polishing those custom, rewarding micro-interactions while Material handles the foundation.
#GoogleDesign #MaterialDesign #JetpackCompose #AndroidDev #UXDesign #InteractionDesign
24
26
983
123,141
I think I now see what went wrong with TMC.
They understood product and created Arc, a browser that solved user problems large and small. Then apparently the founder got some form of AI psychosis causing him to compare AI agents (raw tech, not a product) to Instagram and TikTok.
Hot take… isn’t it kinda crazy that nobody is really using AI Agents? I don’t mean software engineers or AI early adopters. I mean “college friends talking about it in group chat,” the feeling you got when everyone started using Instagram or TikTok.
These frontier AI models are *insane* (as are the harnesses & tool calls & the like). And every large tech co has an AI agents platform, not to mention all the YC startups doing vertical agents. Yet all of your friends and family outside of tech — who spend all day staring at their iPhones and get paid to work in browser tabs — don’t really care or find themselves using any AI agents yet.
Yes ChatGPT, Claude, etc. are extremely popular… but if you look at the engagement data the vast majority of people are still using these aI chat tools like a glorified Google + Grammarly. That’s why the AGI labs are all pushing desktop apps for Codex, Cowork, etc. so hard to non-technical ppl. And yes exceptions for lawyers and customer service but even those have some asterisks and exceptions to rule.
Look I’m not saying the ChatGPT moment for AI Agents is not coming… it most definitely is! Remember we pivoted from Arc to Dia precisely because we believe computing is going to be radically reimagined around these AI primitives. No doubt. But that’s my point: it’s just so surprising it hasn’t happened yet because all of the tech you’d need is there.
Again if you stop for a second and think about it… for all the press and money and hype and models and crazy ARR numbers… this “AI Agent” moment does not *feel* like the other breakthrough tech moments we’ve lived through (e.g. think the shift to Stories via Snapchat & Instagram, or shift to on-demand via Uber/Airbnb/Doordash).
Which is a long way of saying: if you can figure out the answer to “why” most people don’t care about AI agents yet (and have no enduring interest in using them) — especially since the models and harnesses are here and ready — the answer to that question will allow you to capture a lot of marketshare and make a lot of money in 2027.
Theoretically, the tech is ready for AI Agents to totally transform how we work and live our lives… but alas the general public dgaf… that’s the generational puzzle to solve for the next 12 months for anyone not working on the models themselves.
1
158
Me: Review these 8 documents and build me a comparison table based on these factors.
Opus 5: Sure <does a great job>
Me: Here's 40 more, fold them in.
Opus: Hand-reading won't scale, so I'll write a parser
wtf?
1
68
This explains a lot about OpenAI's product situation and why their successful products (not models) follow Anthropic rather than lead them.
cool use case of chatgpt work i heard last night:
connect your family calendars and explain your kids' interests.
every morning for the drive to school, have it make a podcast that talks about one kid's soccer game that afternoon, one kid's upcoming birthday, some news, etc.
51
Having been unimpressed with Deep Research in the past, had a good use case for it today, and heard OpenAI made some improvements recently.
ChatGPT all day:
3
1
225
Why can't the GMail app show me entire emails? And when I "view entire message" it shrinks the message to be unreadable on a phone screen?
2
1
1,168
RT @drewtoothpaste: there are so many things wrong with this article I don't know where to start
1,462
This is this afternoon at 3:10! #apistrat
Join us at APIStrat for The Implication of Hyrum’s Law on #Hypermedia REST #APIs with @bengreen of @Comcast | sched.co/FTQr
4
“REST Con: You have to be an expert and then you still won’t get it right” 😬. Good article though.
1
I'll be giving a full length talk on this topic at @apistrat in September!
Watch @bengreen "The Implication of Hyrum's Law on #Hypermedia #APIs" talk from REST Fest Midwest: vimeo.com/album/5247762/vide…
Slides: bengreenberg.net/restfest/hy…
Join us September 26 + 27-29th for more REST Fest! 2018.restfest.org/east/
1
1
I’m looking forward to talking at @apistrat about why API consumers misuse REST APIs, and how we can fight back against Hyrum’s Law to prevent our beautifully designed APIs from becoming wastelands of hacks and kludges. nitter.net/kinlane/status/1017833…
1
2
11
My current belief is that “a sufficient number of users” is often one. It really is a tragedy for REST advocates.
Hyrum's Law:
"With a sufficient number of users of an API, it does not matter what you promise in the contract: all observable behaviors of your system will be depended on by somebody." -- @hyrumwright
b.mamund.com/2wVtBo0
1
6
Ben Greenberg retweeted
Hackity hack hack! REST Fest Midwest diving into JSON #HyperSchema and @OpenApiSpec details today.
5
10
Hyrum’s Law has pretty serious implications for hypermedia APIs. What can be done to mitigate behavior like not honoring the must ignore principle or parsing URLs? Use of good client libraries? Adding chaos to by shifting URLs and including data we know the client doesn’t need?
I'm excited to be speaking at API Strat Tomorrow about how hypermedia is helping us scale the @Xfinity Stream app sched.co/BiDO