David Balland, a founder of Ledger, a prominent cryptocurrency company, and his wife were freed after a 48-hour police search. Ten people have been arrested.
Some posts related to obtaining abortion pills were recently hidden on Instagram and Facebook and some accounts were suspended, before being later restored.
details on how I built a bluesky feed generator, complete with managing real-time events off the firehose and performing ML classification tasks, using Go and Python.
In a landmark ruling, a federal district court held that backdoor searches of databases full of Americans’ private communications collected under Section 702 ordinarily require a warrant. Congress should uphold its responsibility to protect civil rights and civil liberties by refusing to renew Secti...
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the government has claimed that law enforcement agencies do not need a warrant to sift through [previously collected data]. EFF argued for over a decade that this is unconstitutional, and now a federal court agrees with us.
TLDR if you don't wanna watch the whole thing:
Benaminute (the Youtuber here) creates a fresh YouTube account and watches all recommended shorts without skipping. They repeat this 5 times, where they change their location to a random city in the US.
Below is the number of shorts after which alt-right content was recommended. Left wing/liberal content was never recommended first.
Houston: 88 shorts
Chicago: 98 shorts
Atlanta: 109 shorts
NYC: 247 shorts
San Fransisco: never (Benaminute stopped after 250 shorts)
There however, was a certain pattern to this. First, non-political shorts were recommended. After that, AI Jesus shorts started to be recommended (with either AI Jesus talking to you, or an AI narrator narrating verses from the Bible). After this, non-political shorts by alt-right personalities (Jordan Peterson, Joe Rogan, Ben Shapiro, etc.) started to be recommended. Finally, explicitly alt-right shorts started to be recommended.
The study, which is the first of its kind, evaluates the historical knowledge of leading AI models such as ChatGPT-4, Llama, and Gemini.
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LLMs performed best on questions related to legal systems and social complexity, but they struggled significantly with topics such as discrimination and social mobility.
“The main takeaway from this study is that LLMs, while impressive, still lack the depth of understanding required for advanced history,” said del Rio-Chanona. “They’re great for basic facts, but when it comes to more nuanced, PhD-level historical inquiry, they’re not yet up to the task.”
Among the tested models, GPT-4 Turbo ranked highest with 46% accuracy, while Llama-3.1-8B scored the lowest at 33.6%.
On November 20, 2024, Shubham Shah and I discovered a security vulnerability in Subaru’s STARLINK admin panel that gave us unrestricted access to all vehicles and customer accounts in the United States, Canada, and Japan.
"Nepenthes generates random links that always point back to itself - the crawler downloads those new links. Nepenthes happily just returns more and more lists of links pointing back to itself."
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A pseudonymous coder has created and released an open source “tar pit” to indefinitely trap AI training web crawlers in an infinitely, randomly-generating series of pages to waste their time and computing power. The program, called Nepenthes after the genus of carnivorous pitcher plants which trap and consume their prey, can be deployed by webpage owners to protect their own content from being scraped or can be deployed “offensively” as a honeypot trap to waste AI companies’ resources.
“It's less like flypaper and more an infinite maze holding a minotaur, except the crawler is the minotaur that cannot get out. The typical web crawler doesn't appear to have a lot of logic. It downloads a URL, and if it sees links to other URLs, it downloads those too. Nepenthes generates random links that always point back to itself - the crawler downloads those new links. Nepenthes happily just returns more and more lists of links pointing back to itself,” Aaron B, the creator of Nepenthes, told 404 M