Comment Re: All according to plan. (Score 0) 213
So, you make your EV buying decision based on what connector it has? Why do you care so much about a connector?
Comment Re:Meanwhile (Score 1) 102
Is the USA in need of a tunnel to Denmark?
As a matter of fact, yes. Specifically, to the Greenland region.
Although a golden bridge of grossly outsized proportions and festooned with tacky ornamentation would be much preferred.
Comment Re:Not loving it (Score 1) 46
Jet Engines are as efficient as the steam turbine generators used at power plants.
Comment Is 250MM punitive at all for Apple? (Score 1) 37
That's something like 47 minutes of profit for the company. Is it really going to dissuade bad behavior in the future? I think not.
Comment Re:no (Score 1) 67
Notepad, which is a tech demo for some controls written by Microsoft
Apparently, its current purpose is a demo for their "Copilot" AI technology.
Comment Those guys can't even vet their own social media (Score 3, Insightful) 126
Those guys can't even vet their own social media posts, and those are ~100 characters of ASCII text. The chances of them being able to meaningfully review a multi-gigabyte binary file are exactly zero.
Submission + - The Audio Industry Is Grappling with the Rise of 'Podslop' (bloomberg.com)
An anonymous reader writes: Welcome to the modern era of podcasting in which thousands of new shows are released into the world every day with a sizable portion likely being AI-generated. Figuring out exactly which ones fall into that growing category is becoming more difficult just as the industry is starting to take this issue seriously. In only the past month or so, Amazon launched a feature that explains a product by generating a quasi-podcast, complete with co-hosts talking to each other and taking questions from users. Shout out to Business Insider reporter Katie Notopoulos for spotting this (and, naturally, demoing it with an adult diaper rash-cream). Not long ago, Nicholas Thompson, chief executive officer of the Atlantic, noted “podslop” dominated his Spotify search results when he typed in the word “Sora.” This was around the time that OpenAI shut down its user-generated, AI-content-only app.
[...] All of which raises some big, difficult questions. For one, what should the listening platforms do about this incursion? As of right now, Apple Podcasts requires creators who generated a “material portion” of their show using AI to disclose it. The platform also bans misleading or deceptive content. Spotify hasn’t published any specific guidelines around AI, though it maintains general rules around dangerous and misleading content. Where this conversation gets even trickier is when it comes to money. Many of these podcasts are hosted on at least one free service that allows programs to opt into their ad marketplace with zero barrier to entry, meaning these shows (and the hosting service) profit off every listen or download. Spreaker, a company owned by iHeartMedia, is the primary one to watch here. Though it tells users to disclose when they rely on AI, it still allows those shows to opt into its programmatic ad marketplace, which pays creators 60% of the revenue generated by the ads placed in their shows. It stands to reason that most of these thousands of shows don’t reach many people. But in the aggregate, the ears and dollars could add up. Are the advertisers on board with being next to AI-generated content, some of which might be deemed “slop?”
[...] All of which raises some big, difficult questions. For one, what should the listening platforms do about this incursion? As of right now, Apple Podcasts requires creators who generated a “material portion” of their show using AI to disclose it. The platform also bans misleading or deceptive content. Spotify hasn’t published any specific guidelines around AI, though it maintains general rules around dangerous and misleading content. Where this conversation gets even trickier is when it comes to money. Many of these podcasts are hosted on at least one free service that allows programs to opt into their ad marketplace with zero barrier to entry, meaning these shows (and the hosting service) profit off every listen or download. Spreaker, a company owned by iHeartMedia, is the primary one to watch here. Though it tells users to disclose when they rely on AI, it still allows those shows to opt into its programmatic ad marketplace, which pays creators 60% of the revenue generated by the ads placed in their shows. It stands to reason that most of these thousands of shows don’t reach many people. But in the aggregate, the ears and dollars could add up. Are the advertisers on board with being next to AI-generated content, some of which might be deemed “slop?”
Submission + - Cisco releases open-source 'DNA test for AI models' (scworld.com)
spatwei writes: Cisco released an open-source tool to trace the origins of AI models and compare model similarities for great visibility into the AI supply chain.
The Model Provenance Kit, announced Thursday, is a Python toolkit and command-line interface (CLI) that looks at signals such as metadata and weights to create a “fingerprint” for AI models that can then be compared to other model fingerprints to determine potential shared origins.
“Think of Model Provenance Kit as a DNA test for AI models,” Cisco researchers wrote. “[] Much like a DNA test reveals biological origins, the Model Provenance Kit examines both metadata and the actual learned parameters of a model (like a unique genome that comprises a model), to assess whether models share a common origin and identify signs of modification.”
The tool aims to address gaps in visibility into the AI model supply chain. For example, many organizations utilize open-source models from repositories like HuggingFace, where models could potentially be uploaded with incomplete or deceptive documentation.
The Model Provenance Kit, announced Thursday, is a Python toolkit and command-line interface (CLI) that looks at signals such as metadata and weights to create a “fingerprint” for AI models that can then be compared to other model fingerprints to determine potential shared origins.
“Think of Model Provenance Kit as a DNA test for AI models,” Cisco researchers wrote. “[] Much like a DNA test reveals biological origins, the Model Provenance Kit examines both metadata and the actual learned parameters of a model (like a unique genome that comprises a model), to assess whether models share a common origin and identify signs of modification.”
The tool aims to address gaps in visibility into the AI model supply chain. For example, many organizations utilize open-source models from repositories like HuggingFace, where models could potentially be uploaded with incomplete or deceptive documentation.
Comment Phew! Thank god there are alternatives (Score 1) 30
Man I'm really glad my favorite BBS has a web search gateway. I just upgraded to a 19.2k modem so I'm ready to keep blazing the trail on the world wide web! Now what was the name of that IRC server...
Comment Binaries provided for DOS, Windows, and Amiga (Score 3, Funny) 46
... other, more obscure platforms are also supported, but if you want to run NetHack on them, you'll have to compile it yourself from source. Kind of a baller move if you ask me
Comment Re:Closet Environmentalist? (Score 1) 293
Trump's actions are 100% Trump's actions. His had wasn't forced in the slightest
Trump's actions are 100% Trump's responsibility ("the buck stops here" is still part of the Presidential employment contract, even if Trump doesn't think so).
OTOH, it wouldn't surprise me one bit if Netanyahu played hardball to "encourage" Trump to help. It's one of the downsides of having a "colorful" sex life in your youth and then gaining political power later on -- too many people have solid evidence of your transgressions, and now motivation to use them to influence your decision-making.
So when Netanyahu phones Trump up and says "join my war, or else I'll release these Epstein videos of you having group sex with underage girls", does Trump do the principled thing and refuse? Or does he take the coward's way out, and allow Israel to dictate US policy in exchange for temporarily saving his own political skin? I think we know the answer to that.
Comment Re:Making China Great Again. (Score 2) 293
After the Cold War, I am convinced if we want no more girl schools blown to bits, every country should have nuclear weapons.
Is every country rational enough to never actually use them, and also technically and organizationally competent to keep them out of the hands of private groups (e.g. Al-Qaeda) who would steal them and use them for them own purposes?
If not, then the MAD doctrine won't work there. It's either principled leadership by the major powers, or nothing.
Comment Re:Artificial, but not intelligent (Score 3, Insightful) 63
FWIW, this Nobel Laureate (Hinton) disagrees with you about consciousness. Maybe you should be less certain about your credences.
Anyway, there was some discussion about the Goblin Problem and its relation to consciousness it in the latest Last Week in AI. Always worth a listen.
Comment Re:Gremlin is perfectly valid terminology (Score 5, Funny) 63
Well, now we need to have a 50-post discussion on whether "goblins" and "gremlins" are really the same thing, or if they are in fact two distinct species. All the D&D training I received in my youth can finally be brought to bear on a real-world problem!
Submission + - A 22-Year-Old Dropout Just Reverse-Engineered The World's Scariest AI (forbes.com)
ZipNada writes: When Anthropic introduced its powerful new model, Claude Mythos, this spring, companies and countries freaked out. The general-purpose model, its creators claimed, could discover software vulnerabilities that no one knew existed.
Rather than release Mythos to the world, the company gave it to cybersecurity experts at major companies that build or maintain critical software infrastructure and told them to use it to find and fix bugs before Anthropic unleashed it on the world.
But less than two weeks later, 22-year-old developer Kye Gomez made educated guesses about the core design that makes Claude Mythos so powerful and published OpenMythos, a public project that approximates Anthropic’s breakthrough. Gomez’s code raced through the research community like a prairie fire.
This story has several startling implications: if a self-taught developer can reverse-engineer the structural innovation of a multi-billion-dollar lab in a matter of days, then the proprietary moat around AI architecture may already be gone.
Rather than release Mythos to the world, the company gave it to cybersecurity experts at major companies that build or maintain critical software infrastructure and told them to use it to find and fix bugs before Anthropic unleashed it on the world.
But less than two weeks later, 22-year-old developer Kye Gomez made educated guesses about the core design that makes Claude Mythos so powerful and published OpenMythos, a public project that approximates Anthropic’s breakthrough. Gomez’s code raced through the research community like a prairie fire.
This story has several startling implications: if a self-taught developer can reverse-engineer the structural innovation of a multi-billion-dollar lab in a matter of days, then the proprietary moat around AI architecture may already be gone.
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