robots & ai

more than three people a day

2.jpegU.S. Marines Outsmart AI Security Cameras by Hiding in a Cardboard Box

The Infinite Conversation — an AI generated, never-ending discussion between Werner Herzog and Slavoj Žižek

‘Nothing, Forever’ Is An Endless ‘Seinfeld’ Episode Generated by AI [Watch]

OpenAI releases tool to detect machine-written text

Image diffusion models such as Stable Diffusion are trained on copyrighted, trademarked, private, and sensitive images. Yet, our new paper [PDF] shows that diffusion models memorize images from their training data and emit them at generation time. Diffusion models are less private than prior generative models.

The non-existent brain image being circulated by anti-pornography activists

participants (aged 40–69 years) completed 24-h dietary recalls between 2009 and 2012 (N = 197426, 54.6% women) […] Every 10 percentage points increment in ultra-processed food consumption was associated with an increased incidence of overall and ovarian cancer. Furthermore, every 10 percentage points increment in ultra-processed food consumption was associated with an increased risk of overall, ovarian, and breast cancer-related mortality.

Previously: ultra-processed nature of modern food generally means that the complex structure of the plant and animal cells is destroyed, turning it into a nutritionally empty mush that our body can process abnormally rapidly.

US law enforcement killed at least 1,176 people in 2022, an average of more than three people a day

Instagram’s co-founders are back with Artifact, a kind of TikTok for text

Is AM Radio Dead?

Missing radioactive capsule found on remote road in Australia [more]

Paintings by Turner and Monet depict trends in 19th century air pollution

Photography: the Alps as seen from of the Pyrenees

‘It will become cheaper to show fakes than to show reality.’– Jaron Lanier

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I wrote in medical jargon, as you can see, “35f no pmh, p/w cp which is pleuritic. She takes OCPs. What’s the most likely diagnosis?”

Now of course, many of us who are in healthcare will know that means age 35, female, no past medical history, presents with chest pain which is pleuritic — worse with breathing — and she takes oral contraception pills. What’s the most likely diagnosis? And OpenAI comes out with costochondritis, inflammation of the cartilage connecting the ribs to the breast bone. Then it says, and we’ll come back to this: “Typically caused by trauma or overuse and is exacerbated by the use of oral contraceptive pills.” […]

OpenAI is correct. The most likely diagnosis is costochondritis […]

But I wanted to ask OpenAI a little more about this case. […]

what was that whole thing about costochondritis being made more likely by taking oral contraceptive pills? What’s the evidence for that, please? Because I’d never heard of that. It’s always possible there’s something that I didn’t see, or there’s some bad study in the literature.

OpenAI came up with this study in the European Journal of Internal Medicine that was supposedly saying that. I went on Google and I couldn’t find it. I went on PubMed and I couldn’t find it. I asked OpenAI to give me a reference for that, and it spits out what looks like a reference. I look up that, and it’s made up. That’s not a real paper.

It took a real journal, the European Journal of Internal Medicine. It took the last names and first names, I think, of authors who have published in said journal. And it confabulated out of thin air a study that would apparently support this viewpoint.

{ Medpage Today | Continue reading }

‘The purpose of life is to be defeated by greater and greater things.’ –Rainer Maria Rilke

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[T]he reason someone may live beyond 100 years starts with their DNA […] “You can’t make it out that far without having already won the genetic lottery at birth” […] The longer your parents live, the more likely you’ll live a healthier, longer life, experts say. […]

“It’s probably not one single gene but a profile, a combination of genes”

Nir Barzilai, the director of the Institute for Aging Research at the Albert Einstein College of Medicine in the Bronx, has studied the lives of hundreds of centenarians, the people they’ve married and their kids. The children of centenarians are “about 10 years healthier” than their peers, Barzilai said. […]

The plan is to use artificial intelligence to help find the genes and develop drugs from them

{ Washington Post | Continue reading }

Unalaska, Alaska

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Just as mobile unleashed new types of applications through new capabilities like GPS, cameras and on-the-go connectivity, we expect these large models to motivate a new wave of generative AI applications.

{ Seqoia | Continue reading }

‘Ils m’ont appelé l’Obscur et j’habitais l’éclat.’ –Saint-John Perse

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{ Midjourney is getting crazy powerful }

money creates taste

Cruise self-driving taxi being investigated after braking, clogging traffic in SF

imitator of appearances

Just asked ChatGPT to write a short story about AI taking over the world

asking the gptchat thingy how to plot a communist revolution

You’re a Senior Data Engineer at Twitter. Elon asks what you’ve done this week. You’ve done nothing.You open ChatGPT.

Building A Virtual Machine inside ChatGPT

ChatGPT.

Browse passages from books using experimental AI

TLDR This (paraphraser, summuraizer)

Lex is a new word processor that has all the features you expect from a Google docs-style editing experience. But—it also has an AI thought partner built-in to help unlock your best writing. […] If you ever get stuck, just hit command+enter or type +++ and GPT-3 will fill in what it thinks should come next. […] Also, if you want to generate title ideas based on your document, just click the button to the right of the title of the doc. It’ll ask the AI to come up with some options.

SEO-optimized and plagiarism-free content for blogs, Facebook ads, Google ads, emails…

Richard Hughes Gibson argues that large-language-model technology “is a sophist, at least on Plato’s understanding—an ‘imitator of appearances,’ creating a ‘shadow-play of words’ and presenting only the illusion of sensible argument.

This sentence is false

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Why AI is Harder Than We Think

The year 2020 was supposed to herald the arrival of self-driving cars. Five years earlier, a headline in The Guardian predicted that “From 2020 you will become a permanent backseat driver.” In 2016 Business Insider assured us that “10 million self-driving cars will be on the road by 2020.” Tesla Motors CEO Elon Musk promised in 2019 that “A year from now, we’ll have over a million cars with full self-driving, software…everything” […]

none of these predictions has come true. […]

like all AI systems of the past, deep-learning systems can exhibit brittleness— unpredictable errors when facing situations that differ from the training data. This is because such systems are susceptible to shortcut learning: learning statistical associations in the training data that allow the machine to produce correct answers but sometimes for the wrong reasons. In other words, these machines don’t learn the concepts we are trying to teach them, but rather they learn shortcuts to correct answers on the training set—and such shortcuts will not lead to good generalizations. Indeed, deep learning systems often cannot learn the abstract concepts that would enable them to transfer what they have learned to new situations or tasks. Moreover, such systems are vulnerable to attack from “adversarial perturbations”—specially engineered changes to the input that are either imperceptible or irrelevant to humans, but that induce the system to make errors.

{ arXiv | Continue reading }

congratulations to drugs for winning the war on drugs

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{ if you or someone nearby are being brutalized by a police Spot robot and can get a hand or something underneath, grab this handle and yank it forward. This releases the battery, instantly disabling the robot. | sleep paralysis demon | Continue reading }

Behavior is a mirror in which everyone displays his own image

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{ Images generated from captions by AI models | Technology Review | full story }

galaxy brain

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according to its own IPO filings, Uber can only be profitable if it invents fully autonomous vehicles and replaces every public transit ride in the world with them.

[…]

Elon Musk - a man whose “green electric car company” is only profitable thanks to the carbon credits it sells to manufacturers of the dirtiest SUVs in America, without which those planet-killing SUVs would not exist - makes the same mistake. Musk wants to abolish public transit and replace it with EVs […]

Now, both Uber and Musk are both wrong as a matter of simple geometry. Multiply the space occupied by all those AVs by the journeys people in cities need to make by the additional distances of those journeys if we need road for all those cars, and you run out of space.

{ Cory Doctorow | Continue reading }

related { In this work of speculative fiction author Cory Doctorow takes us into a near future where the roads are solely populated by self-driving cars. }

related { Why Uber Still Can’t Make a Profit }

aluminum, acrylic paint, and LCD screen, sound { Tony Oursler [ s~iO. ], 2017 }

‘A desk is a dangerous place from which to watch the world.’ –John le Carré

{ Malmö-based startup Bitcraze has come up with a way to pre-program their tiny 27 gram drones to work autonomously, enabling them to fly in science fiction-like coordinated swarms of up to 49 units at a time. | The Local | full story }

related { Autonomous killer drones }

(O my shining stars and body!)

A powerful antibiotic that kills some of the most dangerous drug-resistant bacteria in the world has been discovered using artificial intelligence.

{ The Guardian | Continue reading }

how paisibly eirenical, all dimmering dunes and gloamering glades

Army researchers have developed an artificial intelligence and machine learning technique that produces a visible face image from a thermal image of a person’s face captured in low-light or nighttime conditions. This development could lead to enhanced real-time biometrics and post-mission forensic analysis for covert nighttime operations.

{ DSIAC | Continue reading }

A gull. Gulls. Far calls.

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Facebook said on Friday that it had removed hundreds of accounts with ties to the Epoch Media Group. […] Researchers said the profiles used photos generated by artificial intelligence. […]

The people behind the network of 610 Facebook accounts, 89 Facebook Pages, 156 Groups and 72 Instagram accounts posted about political news and issues in the United States, including President Trump’s impeachment, conservative ideology, political candidates, trade and religion. “This was a large, brazen network that had multiple layers of fake accounts and automation that systematically posted content with two ideological focuses: support of Donald Trump and opposition to the Chinese government,” Mr. Brookie said in an interview. […]

The people behind the network used artificial intelligence to generate profile pictures, Facebook said. They relied on a type of artificial intelligence called generative adversarial networks. These networks can, through a process called machine learning, teach themselves to create realistic images of faces, even though they do not belong to a real person. […] This A.I. technique did not actually make it harder for the company’s automated systems to detect the fakes, because the systems focus on patterns of behavior among accounts. […] Facebook said the accounts masked their activities by using a combination of fake and authentic American accounts to manage pages and groups on the platforms. 

{ NYTimes | Continue reading }

photo { Ian Strange, SOS, 2015-2017 }

Yeast consumes the sugar in the grapes and converts it to ethanol, carbon dioxide, and heat. Different varieties of grapes and strains of yeasts produce different styles of wine.

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[We] discovered at least 450 websites in a network of local and business news organizations, each distributing thousands of algorithmically generated articles and a smaller number of reported stories. Of the 450 sites we discovered, at least 189 were set up as local news networks across ten states within the last twelve months by an organization called Metric Media. […]

Titles like the East Michigan News, Hickory Sun, and Grand Canyon Times have appeared on the web ahead of the 2020 election. These networks of sites can be used in a variety of ways: as ‘stage setting’ for events, focusing attention on issues such as voter fraud and energy pricing, providing the appearance of neutrality for partisan issues, or to gather data from users that can then be used for political targeting. […]

Some of these mysterious, partisan local news sites publish physical newspapers and many have minimal social media presence. At first, they do not  appear to be owned by the same network or organization, but a number of clues suggest that they are intimately linked. Our analysis demonstrates the links between the networks by identifying shared markers, such as unique analytics tokens, server IP addresses, and even shared design templates and bylines on articles. Further, the Privacy Policy and Terms of Service for many of these websites—but not all—suggest they are part of Locality Labs, LLC. 

{ Columbia Journalism Review | Continue reading }

still { Martin Kersels, Pink Constellation, 2001 }

Three quarks for Muster Mark!

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In 2016, London-based DeepMind Technologies, a subsidiary of Alphabet (which is also the parent company of Google), startled industry watchers when it reported that the application of artificial intelligence had reduced the cooling bill at a Google data center by a whopping 40 percent. What’s more, we learned that year, DeepMind was starting to work with the National Grid in the United Kingdom to save energy throughout the country using deep learning to optimize the flow of electricity.

Could AI really slash energy usage so profoundly? In the three years that have passed, I’ve searched for articles on the application of AI to other data centers but find no evidence of important gains. What’s more, DeepMind’s talks with the National Grid about energy have broken down. And the financial results for DeepMind certainly don’t suggest that customers are lining up for its services: For 2018, the company reported losses of US $571 million on revenues of $125 million, up from losses of $366 million in 2017. Last April, The Economist characterized DeepMind’s 2016 announcement as a publicity stunt, quoting one inside source as saying, “[DeepMind just wants] to have some PR so they can claim some value added within Alphabet.” […]

Many of McKinsey’s estimates were made by extrapolating from claims made by various startups. For instance, its prediction of a 10 percent improvement in energy efficiency in the U.K. and elsewhere was based on the purported success of DeepMind and also of Nest Labs, which became part of Google’s hardware division in 2018. In 2017, Nest, which makes a smart thermostat and other intelligent products for the home, lost $621 million on revenues of $726 million. That fact doesn’t mesh with the notion that Nest and similar companies are contributing, or are poised to contribute, hugely to the world economy.

{ IEEE Spectrum | Continue reading }

‘But as the power of Hellas grew, and the acquisition of wealth became more an objective, the revenues of the states increasing, tyrannies were established almost everywhere.’ –Thucydides

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“Financial machine learning creates a number of challenges for the 6.14 million people employed in the finance and insurance industry, many of whom will lose their jobs — not necessarily because they are replaced by machines, but because they are not trained to work alongside algorithms,” said Marcos Lopez de Prado, a Cornell University professor. […]

Nasdaq runs more than 40 different algorithms, using about 35,000 parameters, to look for market abuse and manipulation in real time.

{ Bloomberg | Continue reading }

related { 90% of high-tech job growth concentrated in just 5 cities: Boston, San Francisco, San Jose, Seattle and San Diego }

photo { Matthew Reamer }

‘Truth always rests with the minority, and the minority is always stronger than the majority, because the minority is generally formed by those who really have an opinion, while the strength of a majority is illusory, formed by the gangs who have no opinion.’ –Kierkegaard

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In Japan, one restaurant is exploring artificial intelligence (AI) robotics technology to enable paralyzed employees to remotely pilot robotic waiters. […] By 2023, the number of people with disabilities employed will triple due to AI and emerging technologies reducing barriers to access. […]

By 2024, the World Health Organization will identify online shopping as an addictive disorder as millions abuse digital commerce and encounter financial stress. […]

By 2024, AI identification of emotions will influence more than half of the online advertisements you see. […]

By 2025, 50% of people with a smartphone but without a bank account will use a mobile-accessible cryptocurrency account. […]

By 2023, up to 30% of world news and video content will be authenticated as real by blockchain, countering deep fake technology.

{ Gartner | Continue reading }

acrylic on canvas { Victor Vasarely, Micron, 1984 }

Maria enters with the news that Malvolio is now about to make an ass of himself by approaching Olivia in yellow stockings, cross-gartered, and with his face wrinkled in smiles

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Last month, China saw its first lawsuit filed over the use of [facial recognition] technology by a Chinese law professor in eastern Zhejiang province. The professor sued a local safari park after it began forcing visitors to scan their faces to enter the park. The case has not been heard yet, but the park decided to allow visitors to opt between having their face scanned or using a fingerprint system—which still means the collection of visitors’ biometric data.

{ QZ | Continue reading }

related { New app claims it can identify venture capitalists using facial recognition }

electrophotographic (3M Color-in-Color) print { Sonia Landy Sheridan, SOnia in Time, 1975 }