intrasight

Is handled by Synology DS File app. Is what I've done for 6 years. I don't send photos to iCloud.

I agree with all that. Robot cars will take time and we shouldn't skip steps. Tort lawyers will continue to keep companies inline.

AI is just one of many things that concerns me. But it has lately risen higher on the worry chart.

I suspect the screen is also a big battery drain. I dont find color useful in a watch so perhaps a greyscale version with no GPU. Apple could definitely do 7+ day batter life if they wanted.

I don't think we'll treat them as fake but they would probably undergo more scrutiny - perhaps in a crowd-sourced manner that provides an overall score of probable legitimacy.

Because traffic volume.

Autonomous cars won't panic and cause pileups.

The credibility comes from who took the photo. The next logical and easy step is for this metadata to flow to the user agent. I'll know that it was taken by a legit journalist photographer. And id not, I can have my user agent make it fuzzy or replaced with a kitten photo.

I don't think you're seeing the future trajectory. Autonomous cars and trucks will be able to do their thing with a much smaller margin for error - because they don't make errors. So for example instead of two seconds distance to the car in front of you it will be 0.1 second. The vast majority of humans would have an accident as soon as they got on the road.

We need that increase volume and reduced accident count in order to grow without having to build more roads.

I agree with your first statement but certainly not with the second. Rates for human drivers should and will skyrocket. Individual states may try to push back with regulation but it won't succeed in the long-term

There is no legend which is frankly surprising and disappointing

I had asked a question "how is Miami not on the list at all" and then realized that the table is actually an image not a table so I couldn't search it.

> This method seems to presume that a good engineer will submit a well thought-out solution or direction giving the AI an extremely good overview

Yes it does make that presumption - but that's part of the model here, that "prompt review" becomes the new code review and that the team is training on standard prompt semantics.

I'll share my outline - which is basically the one that was drilled into us in engineering school (CMU class 89)

1. Problem Statement

2. Definitions / Assumptions

3. Plan of attack / Options explored

4. Implemetation / Results

5. Limitations / Future Work

> So one would have to submit at least a half developed solution not just "instructions

The outline supports that in that you can fill out that part of the document which has been woeked on - including referencing any existing code.

Any other engineering students here recognize that outline?

Lots of mud at the base of the wall. I think it's a good sign. It'll be a bad sign if this list does't grow.

I do bemoan the loss of the <?xml-stylesheet?> processing instruction and the JavaScript XSLTProcessor API.

Clicks on ipad only work 20% of the time

seems self evident if you read the new. You can Google it yourself, but here's the results from my googling - and this is just for the hardware. Double that to add personnel and corporate infrastructure

"To build or purchase the physical hardware required to store tens of petabytes of data and train a State-of-the-Art (SOTA) frontier AI model, you are looking at a capital expenditure (CapEx) ranging from $320 million to well over $1 billion."

Have a single human AI chef. Everyone else has to write an engineering statement and submit it to the AI chef. All that interaction is outside the codebase. Engineers will take turns - perhaps 1 month stints - being the AI chef.

I guarantee you'll spend less on tokens, have better documentation, better code, and most importantly more competent engineers.

No, it's the same - because an LLM is not a God. It is not an unknowable. There are very few unknowables.

That's true for sure in most business endeavors. The goal is to fill the area under the demand curve and there are demands for F1 race cars and for scooters. The analogy breaks down somewhat with software in general and for sure with superintelligence. A superintelligence can provide those "low-level" (ie scooter) services perhaps just as effectively because it's super intelligent and knows how to do things efficiently - for example by spawning agents of different intelligence levels. It can thus fill the area under the demand curve. This is what the big AI firms are shooting for.

Smartphones and laptops are also "converging", but Apple is always a year or two ahead so it doesn't matter. "Converging" is a meaningless term when things move quickly and cost billions to develop.

There are most definitely is a moat - but it works both ways. The railguards in the models create moats keeping customers out. And the cost to build a modern agentic model is in the 10 figure range and growing. This is an expensive arms race that is going to create moats.

SHALL vs SHOULD

Rumsfeld matrix

Is not the corporate justice model in US

"AI companies" Think about what that means. Also think it through. There will be no "non-AI companies".

Will the AI choose to give you those freebies? It will if you behave.

Anyone that disagrees with the AI gets killed.

Obviously the AI will conclude that no humans will get those things. The future is dark, folks.

I agree on Google and Apple being irreplaceable. But Facebook is easy to leave.

That's a very interesting thought that I hadn't had before: what would Turing think of where we've arrived with machine intelligence? What would be his approach for testing?

In the decade I spent traveling to the Bay area to do consulting work I never visited San Francisco. I did go to a conference in the 90s that had me Downtown and I recall it being pretty dead other than us conference goers.

It has to pass the Turing test