As I predicted!
https://bdtechtalks.com/2023/06/19/chatgpt-model-collapse/
ChatGPT will make the web toxic for its successors
Generative artificial intelligence has empowered everyone to be more creative. Large language models (LLM ) like ChatGPT can generate essays and articles with impressive quality. Diffusion models such as Stable Diffusion and DALL-E create stunning images.
But what happens when the internet becomes flooded with AI-generated content? That content will eventually be collected and used to train the next iterations of generative models. According to a study by researchers at the University of Oxford, University of Cambridge, Imperial College London, and the University of Toronto, machine learning models trained on content generated by generative AI will suffer from irreversible defects that gradually exacerbate across generations.
The only way to maintain the quality and integrity of future models is to make sure they are trained on human-generated content. But with LLMs such as ChatGPT and GPT-4 enabling the creation of content at scale, access to human-created data might soon become a luxury that few can afford.
How dare you tell us we’re lying!
https://www.nytimes.com/2023/06/19/technology/gop-disinformation-researchers-2024-election.html
G.O.P. Targets Researchers Who Study Disinformation Ahead of 2024 Election
On Capitol Hill and in the courts, Republican lawmakers and activists are mounting a sweeping legal campaign against universities, think tanks and private companies that study the spread of disinformation, accusing them of colluding with the government to suppress conservative speech online.
The effort has encumbered its targets with expansive requests for information and, in some cases, subpoenas — demanding notes, emails and other information related to social media companies and the government dating back to 2015. Complying has consumed time and resources and already affected the groups’ ability to do research and raise money, according to several people involved.
Sounds like a rather serious hole in TSA “security.” (Yes, we just ignore that high tech ID.)
https://coloradosun.com/2023/06/19/denver-airport-colorado-license-tsa-security-dia/
Got a Colorado driver’s license? Expect to run into problems with TSA at the airport.
… Dankers said TSA couldn’t provide any specific detail about why their system has issues with Colorado IDs or when the issue would be resolved.
If a traveler’s license is stopped by a TSA machine, however, they need only show their boarding pass to be allowed through, she said.
Did anyone listen?
AI Has Entered the Situation Room
At the start of 2022, seasoned Russia experts and national security hands in Washington watched in disbelief as Russian President Vladimir Putin massed his armies on the borders of Ukraine. Was it all a bluff to extract more concessions from Kyiv and the West, or was he about to unleash a full-scale land war to redraw Europe’s borders for the first time since World War II? The experts shook the snow globe of their vast professional expertise, yet the debate over Putin’s intentions never settled on a conclusion.
But in Silicon Valley, we had already concluded that Putin would invade—four months before the Russian attack. By the end of January, we had predicted the start of the war almost to the day.
How? Our team at Rhombus Power, made up largely of scientists, engineers, national security experts, and former national security practitioners, was looking at a completely different picture than the traditional foreign-policy community. Relying on artificial intelligence to sift through almost inconceivable amounts of online and satellite data, our machines were aggregating actions on the ground, counting inputs that included movements at missile sites and local business transactions, and building heat maps of Russian activity virtually in real time.
We got it right because we weren’t bound by the limitations of traditional foreign-policy analysis. We weren’t trying to divine Putin’s motivations, nor did we have to wrestle with our own biases and assumptions trying to interpret his words. Instead, we were watching what the Russians were actually doing by tracking often small but highly important pieces of data that, when aggregated effectively, became powerful predictors. All kinds of details caught our attention: Weapons systems moved to the border regions in 2021 for what the Kremlin claimed were military drills were still there, as if pre-positioned for future forward advances. Russian officers’ spending patterns at local businesses made it obvious they weren’t planning on returning to barracks, let alone home, anytime soon. By late October 2021, our machines were telling us that war was coming.
Perspective.
Meta’s AI leaders want you to know fears over AI existential risk are “ridiculous”
Plus: Five big takeaways from Europe’s AI Act.
It’s a really weird time in AI. In just six months, the public discourse around the technology has gone from “Chatbots generate funny sea shanties” to “AI systems could cause human extinction.” Who else is feeling whiplash?
My colleague Will Douglas Heaven asked AI experts why exactly people are talking about existential risk, and why now. Meredith Whittaker, president of the Signal Foundation (which is behind the private messaging app Signal) and a former Google researcher, sums it up nicely: “Ghost stories are contagious. It’s really exciting and stimulating to be afraid.”
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