My argument was that the idea that the name Autopilot is misleading comes not from Tesla naming it wrong, it comes from what most people think "Autopilots" on an aircraft do. (And that is probably good enough to argue in court, that it doesn't matter what's factually correct, it matters what people understand based on their knowledge)
Autopilot on a Tesla historically did two things - traffic aware cruise control (keeps a gap from the car in front of you) and stays in its lane. If you tell it to, it can suggest and change lanes. In some cases, it'll also take an exit ramp. (which was called Navigate on Autopilot)
Autopilots on planes roughly also do the same. They keep speed and heading, and will also change heading to follow a GPS flight plan. Pilots still take off and land the plane. (Like Tesla drivers still get you on the highway and off).
Full Self Driving (to which they've now added the word "Supervised" probably from court cases but it always was quite obvious that it was supervised, you had to keep shaking the steering wheel to prove you were alert, same as with Autopilot btw), is a different AI model that even stops at traffic lights, navigates parking lots, everything. That's the true "summon my car from LA to NY" dream at least.
So to answer your question, "What's the difference" – it's huge. And I think they've covered that in earlier court cases.
But one could argue that maybe they should've restricted it to only highways maybe? (fewer traffic lights, no intersections), but I don't know the details of each recent crash.
Autopilots do a lot more than that because flying an aircraft safely is a lot more complicated than turning a steering wheel left and right and accelerating or breaking.
Tesla’s Autopilot being unable to swap from one road to another makes is way less capable than a decades old civilian autopilots which will get you to any arbitrary location as long as you have fuel. Calling the current FSD Autopilot would be overstating its capabilities, but reasonably fitting.
Recover from upsets is the big thing. Maintaining flight level, speed, and heading while upside down isn’t acceptable.
Levels of safety are another consideration, car autopilot’s don’t use multiple levels of redundancy on everything because they can stop without falling out of the sky.
This looks awesome but I think I might still prefer to have an agent make these changes. Not sure though.
In general, I love the juxtaposition of the most advanced computer technology ever (AI) causing an explosion in one of the OLDEST computer technology we've ever had (terminals).
I spend most of my day in a terminal now. It's just funny.
> This looks awesome but I think I might still prefer to have an agent make these changes. Not sure though.
Not entirely sure what you mean here, but the next big feature for micasa is an autopopulation pipeline. Upload a quote PDF and populate the project, quote, and vendor tables. It might not be viable ultimately, but I would love to see how far I can get.
Yep that's exactly what I'm talking about. I don't think it's overkill. It feels very natural and filling out forms feels archaic to me (unless it's a "edit this quickly" where that's almost always faster than asking an agent.)
So I've been building a full piece of software to manage my small business. And it looks like traditional software (forms, tables, etc). But every single thing also has an MCP tool.
So then I find myself just talking to the agent especially as an input mechanism way more than clicking around and editing a form.
I'm just saying, as an input method, I think forms, TUIs, etc will be good as a backup. Over time, as you've outlined, we'd just say "here's a PDF, figure it out" and the agent just inputs the right values into the right fields.
That's how I've approached my run-my-business app. I have models/tables for clients, purchase orders, invoices, support tasks, everything. But my interaction is more like "Add me to all the active projects, set my cost rate to __" and it'll run 15 MCP calls and put the data where it belongs.
Or I'll ask "what invoices are way overdue?" and it'll run the MCP calls to get it, even though I have pretty dashboards.
I hate writing proposals. It's the most mind numbing and repetitive work which also requires scrutinizing a lot of details.
But now I've built a full proposal pipeline, skills, etc that goes from "I want to create a proposal" (it collects all the info i need, creates a folder in google drive, I add all the supporting docs, and it generates a react page, uses code to calculate numbers in tables, and builds an absolutely beautiful react-to-pdf PDF file.
I have a comprehensive document outline all the work our company's ever done, made from analyzing all past proposals and past work in google drive, and the model references that when weaving in our past performance/clients.
It is wonderful. I can now just say things like "remove this module from the total cost" and without having to edit various parts of the document (like with hand-editing code). Claude (or anything else) will just update the "code" for the proposal (which is a JSON file) and the new proposal is ready, with perfect formatting, perfect numbers, perfect tables, everything.
So I can stay high level thinking about "analyze this module again, how much dev time would we need?" etc. and it just updates things.
If you'd like me to do something like this with your company, get in touch :) I'm starting to think (as of this week) others will benefit from this too and can be a good consulting engagement.
For one, qmd uses SQLite (fts5 and SQLite-vec, at least at some point) and then builds reranked hybrid search on top of that. It uses some cool techniques like resilient chunking and embedding, all packaged up into a typescript cli. Id say it sits at a layer above Wax.
Someone at the Pentagon may have used Claude (maybe directly or maybe indirectly through a Palantir tool), to do something that may have had something to do with a really large military operation that involved possibly tens of thousands of people. Maybe. We don’t know. Did I say maybe?
Amazing. The rest of the article reads like filler from a college freshman when you’re required to meet a word count quota. A bunch of random factoids strung together.
You've said this a couple times in this thread now. Do you have any evidence that most of his audience is in India, to make that claim that his ethnicity matters?
Yet more disruption caused by coding agents, I’m sure. We saw it quite visibly with Tailwind, now I can see if code editors are maybe struggling too, especially something like Zed which was probably still used mostly by early adopter type
People, who have early adopted TUI coding agents instead.
I don't think it means they're struggling financially. I think it means they're not steering the ship alone any more, and are responsible to others. That's how accepting investment money generally works.
For now. And also largely because it's easier to get that up and running than the alternative.
Eventually, as we ramp up on domestic solar production, (and even if we get rid of solar tariffs for a short period of time maybe?), the numbers will make them switch to renewable energy.
My argument was that the idea that the name Autopilot is misleading comes not from Tesla naming it wrong, it comes from what most people think "Autopilots" on an aircraft do. (And that is probably good enough to argue in court, that it doesn't matter what's factually correct, it matters what people understand based on their knowledge)
Autopilot on a Tesla historically did two things - traffic aware cruise control (keeps a gap from the car in front of you) and stays in its lane. If you tell it to, it can suggest and change lanes. In some cases, it'll also take an exit ramp. (which was called Navigate on Autopilot)
Autopilots on planes roughly also do the same. They keep speed and heading, and will also change heading to follow a GPS flight plan. Pilots still take off and land the plane. (Like Tesla drivers still get you on the highway and off).
Full Self Driving (to which they've now added the word "Supervised" probably from court cases but it always was quite obvious that it was supervised, you had to keep shaking the steering wheel to prove you were alert, same as with Autopilot btw), is a different AI model that even stops at traffic lights, navigates parking lots, everything. That's the true "summon my car from LA to NY" dream at least.
So to answer your question, "What's the difference" – it's huge. And I think they've covered that in earlier court cases.
But one could argue that maybe they should've restricted it to only highways maybe? (fewer traffic lights, no intersections), but I don't know the details of each recent crash.
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