RockyMcNuts
Joined 16 years ago
Joined 16 years ago
(since AI can now answer many questions that might have been topics of conversation; people can use AI to participate; people may be reluctant to participate if AI can data mine everything and link it back to them, etc. similar to Stack Overflow)
there is no such thing as an AI that is not somehow implicitly aligned with the values of its creator, that is completely objective, unbiased in any way. there is no perfect view from nowhere. if you take a perfectly accurate photo, you have still chosen how to compose it and which photo to put in your record.
are you going to decide to 'censor' responses to kids, or about real people who might have libel interests, or abusive deepfake videos of real women?
if you choose not to decide, you still have made a choice.
ofc it's obvious that Musk's 'maximally truth-seeking AI' is bad faith buffoonery, but at some level everyone is going to tilt their AI.
the distinction is between people who are self-aware and go out of their way to tilt it as little as possible, and as mindfully, deliberately, intentionally and methodically as possible and only when they have to, vs. people who lie about it or pretend tilting it is not actually a thing.
contra Feynman, you are always going to fool yourself a little but there is a duty to try to do it as little as possible, and not make a complete fool of yourself.
- enabling local MCP in Desktop like Claude Desktop, not just server-side remote. (I don't think you can run a local server unless you expose it to their IP)
- having an MCP store where you can click on e.g. Figma to connect your account and start talking to it
- letting you easily connect to your own Agents SDK MCP servers deployed in their cloud
ChatGPT MCP support is underwhelming compared to Claude Desktop.
not indicated, and the general idea of dataviz is to communicate clearly. when you have a number, what it represents should be noted, and the units. if I see a number in that context, I assume it's calling out the value displayed.
the x axis is also a bit off, would ideally plot the date of the release and use a proper time axis.
a title is also good to have, maybe a data table.
sorry to be cranky but those who are downvoting , try to be clear, learn some standards, or stay away from publishing charts. you can even ask AI to clean up your code to conform to a standard. Soft skills are important for an engineer. You need to explain the work in clear, persuasive language and dataviz. or you can be, I'm a super-smart engineer, you figure out what I'm trying to say, I don't need to worry about making your eyes bleed. crikey.
https://www.datavizstyleguide.com/
https://www.amazon.com/Better-Data-Visualizations-Scholars-R...
Looks like a chart crime scene
https://www.wired.com/story/ai-safety-institute-new-directiv...
(oh yay, government is keeping us safe from woke AI...eye roll)
I feel like, with proper UX in the cockpit and on the controller console, making it easy to send/acknowledge the clearance, and intrusively demanding immediate acknowledgment for important messages, with the controller able to talk to the pilot if it isn't immediately acknowledged, structured messages would save time, be more accurate, allow automated checks, i.e. be a superior substitute.
UX needs a ton of work and human factors validation, and would take 20 years to implement. But if you were starting from a blank slate it seems like the way to go!
Like, check in with the controller but most messages are sent electronically and acknowledged manually.
I have your clearance, advise when ready to copy, then you write everything down on kneeboard with a pencil and then manually put it in the navigation system, is a little archaic.
certainly speech to text is a useful transition but in the long run the controller could click on an aircraft and issue the next clearance with a keyboard shortcut. then the pilot would get a visual and auditory alert in the cockpit and click to acknowledge.
I would hope someone at NASA or DARPA or somewhere is working on it. And then of course the system can detect conflicts, an aircraft not following the clearance etc.
these models are being commoditized.
There are significant restrictions on it so it's not fully open-source, but maybe it's only a real problem for Google and OpenAI and Microsoft.
Open source has turned into a game of, what's the most commercial value I can retain, while still calling it open-source and benefiting from the trust and marketing value of the 'open source' branding.