Comment Re:Meta: The model for America going forward (Score 1) 27
It seems to me they could redirect the 10 figures a year they are spending on building a VR world no one wants or will use. Or did they cannibalize that already?
Comment Re:Another LPE... YAWN. Wake me for RCEs (Score 1) 17
Maybe the moral of the story should be, don't listen to the C suite OR the tech media!
Comment Re:Delphi (Score 2) 30
That's amazing. I used Delphi in the 1990s at about the same time as, IIRC, Visual Basic 4.0. I enjoyed it at the time, and Object Pascal was a pretty reasonable language, but outside of maintaining legacy apps, I don't really get it. I'm surprised to see both it and Visual Basic so high on the list.
I guess I'm also surprised to see C at #2. Maybe because of Linux?
Comment Re:Another LPE... YAWN. Wake me for RCEs (Score 4, Interesting) 17
Mozilla has discussed what kind of bugs they found. Here's their blog entry: https://hacks.mozilla.org/2026/05/behind-the-scenes-hardening-firefox/
You should read it. It's a very level-headed article that avoids the for and against LLM-hype that so many low quality news sources report.
Around close to the same time, Greg Kroah-Hartman also commented on improving reports: https://www.theregister.com/software/2026/03/26/linux-kernel-czar-says-ai-bug-reports-arent-slop-anymore/5226256
Finding bugs is good. Integrating these kind of tools into a testing and build pipeline is a good idea.
Comment Re:Got off lightly (Score 1) 100
We get it. You don't like Beyonce. Neither do I, but I'm not making a scene over that fact.
Comment Re:Why am I not surprised (Score 1) 63
You might want to check your sources.
Here's Anthropic's writeup (March). They say:
In this post, we share details of a collaboration with researchers at Mozilla in which Claude Opus 4.6 discovered 22 vulnerabilities over the course of two weeks. Of these, Mozilla assigned 14 as high-severity vulnerabilities
Here's Mozilla's writeup:
In total, we discovered 14 high-severity bugs and issued 22 CVEs as a result of this work. All of these bugs are now fixed in the latest version of the browser.
In addition to the 22 security-sensitive bugs, Anthropic discovered 90 other bugs, most of which are now fixed. A number of the lower-severity findings were assertion failures, which overlapped with issues traditionally found through fuzzing, an automated testing technique that feeds software huge numbers of unexpected inputs to trigger crashes and bugs. However, the model also identified distinct classes of logic errors that fuzzers had not previously uncovered.
Comment Re:Damn, I'm old (Score 1) 91
Around 1990, I worked for a couple months on an embedded device that had an 80186 and a megabyte of RAM. At one point, I had access to a huge pile of 1MB SIMMs and took a stack home for the evening and using memory boards that allowed you to stack up to 8 of them into one SIMM slot in your computer to figure out just how little RAM Windows NT 3.5 really needed to boot. It booted successfully with 12MB of RAM. It really wasn't usable, but it did boot up. Nowadays, Windows is probably only marginally usable with 12GB of RAM.
Comment Re:Advances (Score 1) 29
Which hearing aid brand and model is that?
Comment What about alumnus? (Score 1) 32
Will that work?
Comment What do you expect? (Score 1) 92
They work for Meta. I would expect them to be miserable.
The company has been dumping 10 figures a year into trying to build a VR world no one wants, with nothing to show for it after the better part of a decade. At some point, you expect morale to decrease.
Comment Blame the training data... (Score 1) 68
They'll use the same excuse when AI perfects the Torment Nexus, I'm sure.
Submission + - Tesla imports $29,000 USD ($39,490CAD) Chinese made Model 3 Premium to Canada
ArmoredDragon writes: After Canada dropped its 106.1% tariff on Chinese imports to 6.1%, (which is Canada's standard tariff rate for most favored nations) and raised 25% tariffs against the United States, Tesla moved its inventory manufactured in Fremont, CA back to the US and began importing its Shanghai produced Model 3 to take advantage of the lower rates. This presented a problem for the Canadian government, which currently has a 49,000 unit cap for Chinese vehicle imports, as Tesla already had all the necessary infrastructure in place to begin shipping and distributing cars, where the Chinese competitors such as BYD do not. By becoming the first mover, Tesla would consume most or all of the 49,000 cap before any other competitors have a chance to sell any units.
It's worth emphasizing that this is the premium version of the Model 3, not the newer but lower cost Standard version. It also appears to be made to the same specification as Tesla vehicles that were already being sold in Canada, including using the US EPA standards for EV range estimates, as opposed to the more internationally used WLTC or NEDC standards, or even the Chinese CLTC standard. Deliveries are expected to begin no later than June.
It's worth emphasizing that this is the premium version of the Model 3, not the newer but lower cost Standard version. It also appears to be made to the same specification as Tesla vehicles that were already being sold in Canada, including using the US EPA standards for EV range estimates, as opposed to the more internationally used WLTC or NEDC standards, or even the Chinese CLTC standard. Deliveries are expected to begin no later than June.
Comment Re:This whole AI thing is ridiculous (Score 1) 73
IMO they are pricing in AGI, if they don't get it or if they aren't predicting inference computing costs correctly, there could be a huge rollback. Then we'll have an oversupply of components instead of a shortage. The amount of spend is ludicrous and unrealistic for future needs
We are in an economic mania right now. Governments, corporations, startups, you name it, are all afraid of being left behind. They are buying up memory, disks, computing capacity because, well, if they don't, someone else--one of their competitors--will.
Supply will be expanded and built out while demand remains high.
How long will this take? That's the trillion dollar question. It could be months or it could be years, but at some point, demand and supply will come back into closer to equilibrium. Whether that's because demand crashes or because supply builds up to meet demand is another open question. This has to be one of the greatest repositioning of capital in recent memory.
Submission + - Chrome silent install of 4GB AI model without consent gets expensive. (thatprivacyguy.com)
couchslug writes: Widespread unasked for downloads devour bandwidth squandering energy:
From the parent article:
"Two weeks ago I wrote about Anthropic silently registering a Native Messaging bridge in seven Chromium-based browsers on every machine where Claude Desktop was installed [1]. The pattern was: install on user launch of product A, write configuration into the user's installs of products B, C, D, E, F, G, H without asking. Reach across vendor trust boundaries. No consent dialog. No opt-out UI. Re-installs itself if the user removes it manually, every time Claude Desktop is launched.
This week I discovered the same pattern, executed by Google. Google Chrome is reaching into users' machines and writing a 4 GB on-device AI model file to disk without asking. The file is named weights.bin. It lives in OptGuideOnDeviceModel. It is the weights for Gemini Nano, Google's on-device LLM. Chrome did not ask. Chrome does not surface it. If the user deletes it, Chrome re-downloads it.
The legal analysis is the same one I gave for the Anthropic case. The environmental analysis is new. At Chrome's scale, the climate bill for one model push, paid in atmospheric CO2 by the entire planet, is between six thousand and sixty thousand tonnes of CO2-equivalent emissions, depending on how many devices receive the push. That is the environmental cost of one company unilaterally deciding that two billion peoples' default browser will mass-distribute a 4 GB binary they did not request."
From the parent article:
"Two weeks ago I wrote about Anthropic silently registering a Native Messaging bridge in seven Chromium-based browsers on every machine where Claude Desktop was installed [1]. The pattern was: install on user launch of product A, write configuration into the user's installs of products B, C, D, E, F, G, H without asking. Reach across vendor trust boundaries. No consent dialog. No opt-out UI. Re-installs itself if the user removes it manually, every time Claude Desktop is launched.
This week I discovered the same pattern, executed by Google. Google Chrome is reaching into users' machines and writing a 4 GB on-device AI model file to disk without asking. The file is named weights.bin. It lives in OptGuideOnDeviceModel. It is the weights for Gemini Nano, Google's on-device LLM. Chrome did not ask. Chrome does not surface it. If the user deletes it, Chrome re-downloads it.
The legal analysis is the same one I gave for the Anthropic case. The environmental analysis is new. At Chrome's scale, the climate bill for one model push, paid in atmospheric CO2 by the entire planet, is between six thousand and sixty thousand tonnes of CO2-equivalent emissions, depending on how many devices receive the push. That is the environmental cost of one company unilaterally deciding that two billion peoples' default browser will mass-distribute a 4 GB binary they did not request."
Comment Re:What a load of... (Score 1) 401
Hah, agreement on something!
But, how do you know that humans aren't deterministic? Maybe my exact brain and body, when given the exact same external stimuli over the past however many years, would produce the exact same results? Can't prove it either way, so are you operating on faith and belief about human intelligence?
LLMs are generally considered a combination of stochastic and deterministic (training, specifically). Critics often use the term "stochastic parrots," for example. Since LLMs rely on randomness, if you have a truly random number source, does that make them non-deterministic?
Probably better to not go down this road.
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