Claude Design (awesome product) but confusing UX around collaboration.
Two people can each pay for Max individually, both have access to Claude Design, but still can’t collaborate unless upgrading to a Team plan with a 5-seat minimum?
Also unclear whether personal Design projects can be migrated into a Team workspace later.
The first two lines of the individual sharing flow are also quite confusing. Teammates can edit, but only I can see? Doesn't make sense.
Will cut @AnthropicAI some slack since Claude Design is still in Research Preview, but hopefully we see these things cleaned up in coming releases.
@ClaudeDevs@_catwu
@gonzalaga@MattHartman Agreed. Imagine Apple releasing some feature incorporating this technology. Zero percent chance the term “Gaussian splat” appears anywhere in the marketing or UI.
Fun fact: They already have shown this with their Vision Pro personas
Claude design should do a bit of work on its own design.
Very often I get a blank screen. No loading spinner. No error message. Nothing.
Happens on web and mobile. Anyone else?
Google just turned Street View into a video game.
The mother lode of ground level data -- 280 billion real world panoramas, now playable in real time.
Here's everything you need to know in 7 mins:
00:00 Genie 3 Grounded In Reality
00:44 Real-time Demos!
03:48 The Bigger Picture
05:36 Current Limitations
06:54 World Model Resources
One of the best things students and colleges can do is not bail on learning and teaching the fundamentals of any given domain. AI will trick you into thinking you don’t need to go deep in a particular area, but that’s wrong.
The expert with AI is always going to be far more capable than the novice. Those that can steer AI agents properly, figure out how to evaluate their work, fix their mistakes, and incorporate their work into a workflow will always be the most potent users of these tools.
The experienced software developer that’s built and scaled complex systems using agents outrun someone just vibe coding. The designer that uses AI will build far better products and campaigns than anyone else. The banker or analyst that understands financial models will be able to pull off far more with agents.
Despite some of the rhetoric in the valley that this is less implement now, that couldn’t be further from the case. Don’t give up on going deep in your craft.
@lennysan@tfadell What does he think of “lifecording”? How do companies like Apple and Meta get this right while maintaining privacy?
https://t.co/XrX5qwVLi8
4/ I have been sharing a view I call “LIFECORDING”
where we will have an abundance of hardware devices (most will fail) recording your life (audio first, video and images soon) all day with AI processing and summarizing and searching and finding insights and connections…
Great insight. Mental struggle builds cognitive skills.
For students, the goal is learning, so brain-first is clearly right.
For professionals, though, goals are less clearcut. Optimize for learning as much as possible or moving as fast as possible?
You and your boss might even disagree on this.
The right answer probably lies somewhere in the middle. And it probably changes day-to-day.
Hopefully, more research in this area helps us build decision frameworks so we get the most out of AI and, more importantly, ourselves.
There’s a reason people love watching @ThePrimeagen@levelsio@tsoding and others create. It’s fun to watch a master at work, and you can pick up useful skills along the way.
AI is also a master now. It can teach us everything we want to know. But sometimes that hard part is knowing the right questions to ask.
Watching human experts interact with AI experts gives the best of both worlds.
Here’s the key:
- with code, a novice could copy an expert, character by character, and get the code to run without understanding it
- with English prompts, the same is true, but the bar is much lower for how much contextual knowledge you must have to understand what’s happening
For example, let’s say we have two programmers. A frontend developer who only knows JavaScript and a backend API developer who only knows python. Normally, they would not easily be able to learn how to do each other’s jobs. AI adds a layer of abstraction that removes this barrier.
If the frontend guy watches the backend guy use AI to build rock-solid APIs, I’m sure he could understand the prompts. And if the backend guy watches the frontend guy use AI to build beautiful and responsive webpages, he most certainly can understand the prompts too.
Now, AI could probably do a decent job of writing all the code without either one of them… but there’s a reason these guys are still employed. They know how to get the most out of the AI, and they know when to push back on the AI if it’s wrong. These skills do not depends on understanding the precise syntax. And for that reason, anyone with solid foundations in computer science can learn to work across many other layers of the stack.
Moral of the story, there’s never been a better time to build out in the open. And there’s never been a better time to build outside your comfort zone.
@bgurley That’s awesome!
Many undergrad programs like mine at @UF require some “exploratory” but often impractical courses for freshmen and sophomores.
These cost a lot of money and (in my experience) don’t achieve much.
Would’ve loved if RDAD were offered instead.