There are times I would agree with you, and times I wouldn't.
If the theater is full of people talking during the movie or lighting the place up while they’re on their phone (in either case ignoring the movie), then I’d rather be alone.
It seems like more times than not, this is the case.
Are you American? US cinema culture seems very different to the UK (the only other place I’ve been). In the US it seems much more the norm to react to the film, in the UK generally folks sit in silence.
In a previous life, I would go to a lot of art movies, often matinees or monday or etc. Sometimes there was one guy who was working the box-office, the snackbar, and the projection. I was glad he had a job.
Yes this is what people get wrong about "home theater". Its not just the tech, its the experience of watching something with others, amplifying the emotions.
Man, seeing The Avengers (2012) in a PACKED theater full of excited Marvel fans was something else. The deafening roar completely drowned out the Hulk's line "puny god".
The thing is they make the correct diagnoses of Arc's issues [1], but then instead of addressing them and doing the hard work of building a great product, they took the easy way out and started another greenfield project. How often has that ever been a good decision?
You're assuming that Dia is what Atlassian wanted in this acquisition, and nothing else. We don't know what things would look like if they had continued developing Arc.
Almost every successful company has got there by grinding away on hard problems. No one launches a product and gets endless growth for free. Not to say that Arc would have definitely succeeded, but to date it's been a lot more successful than Dia.
I don't think this is a good comparison. There are many startups that have succeeded developing good products, but very few that could match the success of Apple.
A website owner can publish their website's capabilities or data as "tools". AI agents and LLMs like ChatGPT, in response to user prompts, can consult these tools to figure out their next actions.
Example:
1. An author has a website for their self-published book. It currently checks book availability with their database when add to cart is clicked.
2. The website publishes "check book availability" and "add to cart" as "tools", using this MCP-B protocol.
3. A user instructs ChatGPT or some AI agent to "Buy 3 copies of author's book from https://theirbooksite"
4. The AI agent visits the site. Finds that it's MCP-B compliant. Using MCP-B, it gets the list of available tools. It finds a tool called "check book availability", and uses it to figure out if ordering 3 copies is possible. If yes, it'll next call "add to cart" tool on the website.
The website here is actively cooperating with the agent/LLM and supplying structured data. Instead of being a passive collection of UI elements that AI chatbots have to figure out based on UI layouts or UI captions, which are generally very brittle approaches.
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