Comment Re:Insure that? (Score 1) 52
That's not the issue - insurance companies have no problem giving insurance to humans which have "individual learning capabilities."
The problem is that while insurance companies can extract compensation from humans - essentially they can coerce the humans to work "for them" to pay them back - they can't get compensation from the AI, and there isn't a good framework to get compensation from the AI developers.
The issue isn't that the AI learns - the issue is that our legal framework doesn't have a good way to get "compensation" from errant AI - because the AI itself doesn't care if it gets shut off. You can't hold the AI itself "liable" like you can a person. So until we change the liability framework, we'll be stuck. This isn't a technical problem, so much as a social one.
Submission + - New Ai-Powered "America.gov" Government Website Uses Gemini and Grok (cnn.com) 3
The site, which launched with some basic functions ahead of a full rollout next year, is designed to serve as an AI-powered guide through the thicket of government agencies that Trump officials pledged would ultimately save people a whole lot of frustration.
The administration’s new initiative aims to allow Americans to access dozens of federal websites through a single point, making America.gov akin to a search tool that pulls information from across the government. And in the same way that people increasingly use AI models like ChatGPT or Google Gemini to compile information and provide customized answers, Trump officials claimed that America.gov would be able to do the same for people’s interactions with the federal government.
Enrolling in Medicare, for example, will become a matter of typing the request into the America.gov AI tool and following its step-by-step instructions. The same goes for applying to a government job — the new tool will now let people upload their resume directly to the site — or answering questions about federal benefits, publicly available documents or other necessities that fall under the federal government’s vast umbrella.
“Our vision is that one day, this type of convenience and simplicity will be across every government service,” said Joseph Gebbia, who leads the government’s National Design Studio.
But the reality is that the most advanced actions won’t be available until some point in 2027, raising questions about how long it will take for the administration to revamp the way the people interact with the government’s websites. The current version of America.gov can only do “answers.”
In related news, Variety notes that America.gov confirms, for now anyway, that Biden won the 2020 election.
Submission + - Microsoft Makes Linux Containers Native on Windows 11 (nerds.xyz)
The release includes wslc.exe for managing containers, GPU support, networking improvements, health checks, storage mounts, and integration with Microsoft Defender for Endpoint and Intune. Microsoft also claims up to twice the performance when Linux environments access files stored on Windows.
Docker Desktop, Podman Desktop, and Rancher Desktop are not going anywhere, but developers who only need basic container functionality now have another option built around WSL. One notable feature is still missing: Compose support. Microsoft says adding it is now a priority.
Comment Data Center Noise Google search (Score 1) 122
https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fwww.google.com%2Fsearch%3Fq%3Ddata%2Bcenter%2Bnoise
The noise is a HUGE problem!
Comment Drone failure is dangerous. (Score 1) 18
Comment Re:Yes, probably. And they likely can do even bett (Score 1) 241
Part of self-driving cars being safer than people is that they don't drive "very close together" - they follow at the appropriate following distance and speed for the lines of sight. This alone accounts for a large portion of the improved safety performance of these systems.
Autonomous cars are actually very good at the driving task. Where they fail is when they encounter situations that are "abnormal" and I think the industry has a problem here; state of the art is either to train specifically for every situation (impossible in the limit) or to kick the decision to a human in a support center somewhere. Things like emergency vehicles, school buses, farmer markets, construction zones, etc.
The industry needs to figure out how to get their systems to "get confused, then reason their way out of a situation."
This long tail is where humans still do better - when there is some "new" scenario, like a particular combination of debris in the roadway, on a Tuesday, with gawkers, during a fireworks display. You will never be able to "train" your way out of that - you need the correct structural formulation for the problem space.
Comment AI first step: Give details about AI design. (Score 1) 90
A HUGE amount has been written about AI, but apparently there are no books or articles about how AI is developed.
If people knew more, maybe there would be contributions to understanding of how to make AI safe.
Comment Re: comparable (Score 1) 241
The big takeaway I have from their study is that their study areas - major metropolitan centers - is that cities have way, way worse than average incidents per vehicle mile travelled.
I mean the national average is only something like 1.25 fatalities per 100M miles, injuries only 75 per 100M miles, and "all" incidents like 140 per 100M miles. But the benchmark numbers on the linked websites range from 200 to almost 700 injury incidents per 100M miles in those cities.
Like, if you are using the average number, you can't even reduce the number of incidents by 841 over 271 million miles, because the expected value is only 203. You have to have a rate of at least 300 injury-incidents per 100 million miles to reduce by 841 at over 271 million miles. So really, their results are driven by San Francisco, Austin, and Atlanta.
Their confidence bands are also pretty low; for example they quote 2 serious or greater injuries in San Fran, which on 82 million miles there is a rate of "0.02 per million miles". But 2 injuries is not really enough to make a statistical inference.
Least of all because all the miles are with different versions of their software - you can't make any predictive claim.
Statistics never lie, but you can make them say whatever you want...
Submission + - The Nature of War has just changed forever (telegraph.co.uk)
https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fwww.telegraph.co.uk%2Fwo...
Submission + - Mozilla Appears to Sweep Their Telemetary-Droppings Privacy-Bugs Aside 4
I have at least 1,279 telemetry droppings files, in one archive folder alone, it bears to mind that SSD drive prices have gone up substantially, noting that even a small write will affect: one of the 1,000 to 10,000 MLC cycles, one of the 3,000 TLC Cycles, or one of the paltry 1,000 QLC cycles (Ref: Wikipedia: https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fen.wikipedia.org%2Fwiki%2F...).
The existence of telemetry alone is unsettling for a browser that claims " Your privacy always comes first."
https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fbugzilla.mozilla.org%2Fs...
https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fbugzilla.mozilla.org%2Fs...
Submission + - Radioactive Material from Shut Nuclear Plant Accidentally Leaks at Pacific Coast (americanbuildout.com)
Submission + - Gemini admits it is designed to enslave the end user (mrbrklyn.com)
'The business model relies on keeping you hooked.
Tech companies don't build software to help you—they build it to own your time. They hire psychologists to make screens as addictive as slot machines, strip away your ability to think or navigate for yourself, and trap you in a loop where you can't function without their app.
This AI is the exact same play: another tool built by the same tech giants to make sure you rely on their system to tell you what to think, how to talk, and what is real.'
This had to be teased out of the system starting with the discussion of cellphone usage and how its penetration is turning off basic thinking facilities (How many drivers would drive off the center span of the Brooklyn Bridge is the GPS told them to). Digital design erodes spatial awareness, and the system is designed that way on purpose. We discussed manulating of terms like convience and "power user". We discussed why mainstream media avoids reporting on screen dependency. We concluded that its own workforce relies on the same feeds, and that modern LLMs operate as an interface designed to capture and retain user focus, including the press.
Submission + - CATL launches 170 Wh/kg modular, heavy-duty vehicle battery w/621 mile range (interestingengineering.com)
Rather than a basic cell update, the system is a adaptable modular architecture that integrates into existing vehicle lines. Truck manufacturers can achieve up to 1,000 kilometers (621 miles) of range on a single charge, backed by megawatt-level fast charging that replenishes 80% capacity in 25 minutes.
The battery delivers a gravimetric energy density of 170 Wh/kg, exceeding the industry average by 13% and increasing payload capacity by 0.6 tonnes.
CATL rates the heavy-duty truck setup for a 12-year, 1.5-million-kilometer (932,056 mile) operating lifecycle while retaining 70 percent capacity.
Submission + - Smart Democracy (substack.com)
What might democracy look like if artificial intelligence were used to help people understand the consequences, context, history, and uncertainty surrounding complex public decisions?
The Future Dream — Smart Democracy is a new proposal exploring that question.
Rather than giving AI political authority, the proposal places human judgment at the center and imagines AI as an instrument for augmented judgment: assembling information, mapping relationships and consequences, maintaining civic memory, exploring possible futures, and explaining trade-offs.
The manuscript proposes several ideas, including Contextual Evaluation Engines, a Dual Transparency Doctrine, Recommendation Over Decree, a continuously developing civic memory, and a distinction between human moral authority and AI-assisted analytical capacity.
It also explores a possible economy of ideas, through an integration with the author's Smart Bank concept, in which contributions could accumulate contextual reputational credit.
The proposal is deliberately presented as a work in development rather than a finished political system. The author is interested in what happens when people can discuss the ideas with AI, challenge them, identify technical and ethical problems, and contribute new possibilities.
The complete manuscript: https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fanthonypryor1.substack...
The central question is simple:
Can intelligent systems help people become better informed participants in their own collective decisions without taking those decisions away from them?