Australian mathematicians have proven the famous "infinite monkey theorem" impossible within the universe's lifespan. The theorem suggests monkeys typing randomly would eventually produce Shakespeare's complete works. Scientists Stephen Woodcock and Jay Falletta calculated that even 200,000 chimpanzees typing one character per second until the universe's heat death would fail to reproduce Shakespeare's writings.

A single chimp has only a 5% chance of typing "bananas" in its lifetime, with more complex phrases facing astronomically lower odds. "This finding places the theorem among other probability puzzles and paradoxes... where using the idea of infinite resources gives results that don't match up with what we get when we consider the constraints of our universe," Associate Prof Woodcock was quoted as saying by BBC.

JPMorgan Chase is suing customers who exploited an ATM glitch that allowed them to withdraw funds before a check bounced. CNBC reports: The bank on Monday filed lawsuits in at least three federal courts, taking aim at some of the people who withdrew the highest amounts in the so-called infinite money glitch that went viral on TikTok and other social media platforms in late August. [...] JPMorgan, the biggest U.S. bank by assets, is investigating thousands of possible cases related to the "infinite money glitch," though it hasn't disclosed the scope of associated losses. Despite the waning use of paper checks as digital forms of payment gain popularity, they're still a major avenue for fraud, resulting in $26.6 billion in losses globally last year, according to Nasdaq's Global Financial Crime Report.

The infinite money glitch episode highlights the risk that social media can amplify vulnerabilities discovered at a financial institution. Videos began circulating in late August showing people celebrating the withdrawal of wads of cash from Chase ATMs shortly after bad checks were deposited. Normally, banks only make available a fraction of the value of a check until it clears, which takes several days. JPMorgan says it closed the loophole a few days after it was discovered.

The lawsuits are likely to be just the start of a wave of litigation meant to force customers to repay their debts and signal broadly that the bank won't tolerate fraud, according to the people familiar. JPMorgan prioritized cases with large dollar amounts and indications of possible ties to criminal groups, they said. The civil cases are separate from potential criminal investigations; JPMorgan says it has also referred cases to law enforcement officials across the country. "Fraud is a crime that impacts everyone and undermines trust in the banking system," JPMorgan spokesman Drew Pusateri said in a statement to CNBC. "We're pursuing these cases and actively cooperating with law enforcement to make sure if someone is committing fraud against Chase and its customers, they're held accountable."

The District of Columbia and 13 states sued social media giant TikTok on Tuesday, accusing the company of knowingly creating an addictive product and getting children hooked with "digital nicotine." From a report: D.C. Attorney General Brian Schwalb brought Washington's suit in the Superior Court for the District of Columbia, asserting that the app's design -- including its algorithm, "infinite scroll," push notifications, filters and in-app currency -- boost the company's profits at the expense of children's health. "TikTok's platform, designed to be dangerously addictive, inflicts immense damage on an entire generation of young people," Schwalb said in a statement announcing the suit. "In addition to prioritizing its profits over the health of children, TikTok's unregulated and illegal virtual economy allows the darkest, most depraved corners of society to prey upon vulnerable victims." More than a dozen states brought similar suits against TikTok in their courts Tuesday, including New York, California, Kentucky and New Jersey. Each stems from a national investigation into the company that a bipartisan coalition of attorneys general launched in March 2022.

Along with 343 Industries now becoming Halo Studios, future Halo games will be developed using Unreal Engine 5. The Verge's Tom Warren reports: Halo moving to Unreal Engine 5 is being positioned as the first step of a transformation for Halo Studios to change its technology, structure, processes, and even culture. "We're not just going to try improve the efficiency of development, but change the recipe of how we make Halo games," says Pierre Hintze, studio head at Halo Studios. The team building Halo will move from the studio's Slipspace Engine to Unreal, after the proprietary engine it built for Halo Infinite became difficult to use and strained development. Halo Studios has had to dedicate a lot of staff to developing the Slipspace Engine, and parts of it are almost 25 years old.

"One of the primary things we're interested in is growing and expanding our world so players have more to interact with and more to experience," says Chris Matthews, art director at Halo Studios. "Nanite and Lumen [Unreal's rendering and lighting technologies] offer us an opportunity to do that in a way that the industry hasn't seen before. As artists, it's incredibly exciting to do that work." Halo Studios isn't committing to any release dates or new Halo game announcements just yet, but the team has been building some examples of Halo running in Unreal. Dubbed Project Foundry, the work is "neither a game nor a tech demo," but more of a research, development, and training tool. It's also the foundation for how the studio is changing up the way it builds Halo games.

Project Foundry has been built as if it was a shipping game so that a bunch of it can appear in Halo games in the future. "It's fair to say that our intent is that the majority of what we showcased in Foundry is expected to be in projects which we are building, or future projects," says Hintze. Project Foundry includes more detailed landscapes for Halo biomes, as well as foliage levels we haven't seen in Halo games in the past. Master Chief's armor has even been remodeled in this footage [...]. Halo Studios is now working on multiple Halo games, while the Slipstream Engine will continue to power Halo Infinite. "We had a disproportionate focus on trying to create the conditions to be successful in servicing Halo Infinite," says Hintze. "[But switching to Unreal] allows us to put all the focus on making multiple new experiences at the highest quality possible."

Last week the Register warned "If you're running the Unix printing system CUPS, with cups-browsed present and enabled, you may be vulnerable to attacks that could lead to your computer being commandeered over the network or internet." (Although the CEO of cybersecurity platform watchTowr told them "the vulnerability impacts less than a single-digit percentage of all deployed internet-facing Linux systems.")

But Tuesday generic (Slashdot reader #14,144) shared this new warning from Akamai: Akamai researchers have confirmed a new attack vector using CUPS that could be leveraged to stage distributed denial-of-service (DDoS) attacks. Research shows that, to begin the attack, the attacking system only needs to send a single packet to a vulnerable and exposed CUPS service with internet connectivity.

The Akamai Security Intelligence and Response Team (SIRT) found that more than 198,000 devices are vulnerable to this attack vector and are accessible on the public internet; roughly 34% of those could be used for DDoS abuse (58,000+). Of the 58,000+ vulnerable devices, hundreds exhibited an "infinite loop" of requests.

The limited resources required to initiate a successful attack highlights the danger: It would take an attacker mere seconds to co-opt every vulnerable CUPS service currently exposed on the internet and cost the attacker less than a single US cent on modern hyperscaler platforms.

An anonymous reader shares a New Yorker story: Ultimately, the iPhone 16 does little to meaningfully improve on the experience I had with the 12, besides, perhaps, charging with a USB-C, as my laptop does, cutting down on the number of cords I have to keep track of. Instead, the greatest leaps in Apple's hardware are largely directed at those niche users who are already invested in using tools such as artificial intelligence and virtual reality. The company has announced that, within a month or so, the new phones will be able to operate its proprietary artificial-intelligence system, which means that users may soon be relying on A.I. to perform daily personal tasks, like navigating their calendars or responding to e-mails. The 15 and 16 Pros can take three-dimensional photos, designed for V.R., using the Apple Vision Pro. Thus far, I don't use A.I. tools or V.R. with any frequency and have no intention of doing so on my iPhone.

The fact that I do not need an iPhone 16 is a testament not so much to the iPhone's failure as to its resounding success. A lot of the digital software we rely on has grown worse for users in recent years; the iPhone, by contrast, has become so good that it's hard to imagine anything but incremental improvements. Apple's teleological phone-design strategy may have simply reached its end point, the same way evolution in nature has repeatedly resulted in an optimized species of crab. Other tech companies, meanwhile, are embracing radical departures in phone design. Samsung offers devices that fold in half, creating a smaller screen that's useful for minor tasks, such as texting, and a larger one for watching videos; Huawei is upping the ante with three folds. The BOOX Palma has become a surprise hit as a smartphone-ish device with an e-ink screen, similar to Amazon's Kindle, which uses physical pixels in its display. Dumbphones, too, are growing more popular by intentionally doing less. Apple devices, by contrast, remain effective enough that they can afford to be somewhat static.

An anonymous reader shared this story from the blog Decrypt: Michael Lewis, author of Going Infinite, an account of the rise and fall of Sam Bankman-Fried, has argued that the disgraced FTX founder didn't have "the character of a thief" in a new The Washington Post article. "His crime was of a piece with his character. The character wasn't the character of a thief. It was the character of a person numb to risk." Lewis explained in the final paragraphs of a 4,500 word essay adapted from a new introduction to his book. "Unable to feel risk himself, he can't really imagine other people feeling much at all about the risk he has subjected them to...."

Lewis doubled down on previous claims that Bankman-Fried wasn't running a Ponzi scheme, arguing that "The crime was unnecessary to the business in a way that, say, Bernie Madoff's was not," and that "The crime made no sense." The collapse of FTX, he added, "might have been avoided and FTX might have survived."

"That doesn't mean I think that Sam Bankman-Fried is innocent. It merely informs how I feel about him," Lewis explained. "I think the truth is closer to 'young person with an intellectually defensible but socially unacceptable moral code makes a huge mistake in trying to live by it' than "criminal on the loose in the financial system.'"
From from The Daily Beast: Lewis also pointed to bankruptcy court filings from FTX in the weeks after Bankman-Fried's sentencing showing that "against the $8.7 billion in missing customer deposits, FTX was now sitting on something like $14.5 to $16.3 billion." "Whatever the exact sum, it was enough to repay all depositors and various other creditors at least 118 cents on the dollar — that is, everyone who imagined they had lost money back in November 2022 would get their money back, with interest," Lewis writes.
Michael Lewis's article offers some vivid details: Inside of three years, he'd gone from socially and emotionally isolated 25-year-old with an upper-middle-class bank account to leader of a small army of math nerds and (according to Forbes magazine) not merely the world's richest person under 30 but maybe the fastest creator of wealth in recorded history... He'd gone from having no friends as a child to having too many as an adult without ever developing a capacity for friendship....

The prosecutors didn't need Sam's help. Sam helped them anyway by ignoring the counsel of his lawyers and testifying on his own behalf... As Lewis Kaplan, the federal judge who presided over the case, said later: "When he wasn't outright lying, he was often evasive, hairsplitting, dodging questions and trying to get the prosecutor to reword questions in ways that he could answer in ways he thought less harmful than a truthful answer to the question that was posed would have been. I've been doing this job for close to 30 years. I've never seen a performance quite like that...." [T]he judge ordered Sam to rise so that he might address him directly. Two hours or so earlier, Sam had shuffled into the courtroom in prison khakis with his head down and his hands oddly clasped behind his back. Just before he'd entered, his guards had told him he was meant to be wearing handcuffs and asked if he could create the impression that he was doing so...

"There is a risk that this man will be in a position to do something very bad in the future, and it's not a trivial risk, not a trivial risk at all," said the judge. "So, in part, my sentence will be for the purpose of disabling him." He then sentenced Sam to 25 years in prison, with no possibility of parole.

A few minutes later, Sam dutifully clasped his hands behind his back and shuffled out of the courtroom.
Lewis adapted his 4,500-word article from the upcoming (updated) paperback edition of his book — which was originally published in 2023 on the same day jurors were selected for Bankman-Fried's trial...

Google is switching back to pagination for its search results, abandoning the continuous scroll feature introduced in 2022 for desktop and 2021 for mobile. The change, effective immediately for desktop users, aims to improve search result loading speeds, Google said, adding that infinite scrolling did not significantly enhance user satisfaction. Mobile users will see the change in coming months.

SUSE, a Luxembourg-based open-source company, is launching a new vendor- and LLM-agnostic generative AI platform called SUSE AI solutions. The company aims to leverage the potential of AI to gain a stronger foothold in the U.S. market, where it has struggled to establish brand recognition compared to competitors like Red Hat and Canonical. SUSE CEO Dirk-Peter van Leeuwen believes that the open-source model provides infinite potential for enterprise customers, offering support, security, and long-term stability. The company's recent fork of CentOS has attracted a significant number of users, and its portfolio, including Kubernetes service Rancher and security service Neuvector, positions SUSE well in a market where enterprises are looking to consolidate platforms. Despite ownership changes over the years, SUSE remains committed to expanding its presence in the U.S. market.

Security professional Bruce Schneier argues that large language models have the same vulnerability as phones in the 1970s exploited by John Draper.

"Data and control used the same channel," Schneier writes in Communications of the ACM. "That is, the commands that told the phone switch what to do were sent along the same path as voices." Other forms of prompt injection involve the LLM receiving malicious instructions in its training data. Another example hides secret commands in Web pages. Any LLM application that processes emails or Web pages is vulnerable. Attackers can embed malicious commands in images and videos, so any system that processes those is vulnerable. Any LLM application that interacts with untrusted users — think of a chatbot embedded in a website — will be vulnerable to attack. It's hard to think of an LLM application that isn't vulnerable in some way.

Individual attacks are easy to prevent once discovered and publicized, but there are an infinite number of them and no way to block them as a class. The real problem here is the same one that plagued the pre-SS7 phone network: the commingling of data and commands. As long as the data — whether it be training data, text prompts, or other input into the LLM — is mixed up with the commands that tell the LLM what to do, the system will be vulnerable. But unlike the phone system, we can't separate an LLM's data from its commands. One of the enormously powerful features of an LLM is that the data affects the code. We want the system to modify its operation when it gets new training data. We want it to change the way it works based on the commands we give it. The fact that LLMs self-modify based on their input data is a feature, not a bug. And it's the very thing that enables prompt injection.

Like the old phone system, defenses are likely to be piecemeal. We're getting better at creating LLMs that are resistant to these attacks. We're building systems that clean up inputs, both by recognizing known prompt-injection attacks and training other LLMs to try to recognize what those attacks look like. (Although now you have to secure that other LLM from prompt-injection attacks.) In some cases, we can use access-control mechanisms and other Internet security systems to limit who can access the LLM and what the LLM can do. This will limit how much we can trust them. Can you ever trust an LLM email assistant if it can be tricked into doing something it shouldn't do? Can you ever trust a generative-AI traffic-detection video system if someone can hold up a carefully worded sign and convince it to not notice a particular license plate — and then forget that it ever saw the sign...?

Someday, some AI researcher will figure out how to separate the data and control paths. Until then, though, we're going to have to think carefully about using LLMs in potentially adversarial situations...like, say, on the Internet.
Schneier urges engineers to balance the risks of generative AI with the powers it brings. "Using them for everything is easier than taking the time to figure out what sort of specialized AI is optimized for the task.

"But generative AI comes with a lot of security baggage — in the form of prompt-injection attacks and other security risks. We need to take a more nuanced view of AI systems, their uses, their own particular risks, and their costs vs. benefits."

Tom Warren reports via The Verge: Microsoft is starting to preview mouse and keyboard support for Xbox Cloud Gaming today. Xbox Insiders will be able to start playing with their mouse and keyboard in Edge, Chrome, or the Xbox app on Windows PCs, nearly two years after Microsoft announced it was preparing to add mouse and keyboard support to its Xbox Cloud Gaming (xCloud) service. Not every game will be supported during the preview, but there's a large selection, including Fortnite, Sea of Thieves, and Halo Infinite. Microsoft warns that some games will display controller UI elements briefly before adapting to mouse and keyboard input after you start interacting with the game.

If you're interested in trying games with mouse and keyboard in the browser version of Xbox Cloud Gaming, then you'll need to be in full-screen mode, according to Microsoft. This is so the game can correctly capture your pointer as input. If you want to exit out of mouse and keyboard mode and use an Xbox controller instead, there's an ALT+F9 shortcut to do so. The full list of supported games include: Fortnite (browser only), ARK Survival Evolved, Sea of Thieves, Grounded, Halo Infinite, Atomic Heart, Sniper Elite 5, Deep Rock Galactic, High on Life, Zombie Army 4 Dead War, Gears Tactics, Pentiment, Doom 64, and Age of Empires 2.

Meta CEO Mark Zuckerberg said that it's working on a finger tracking neural wristband that will be ready to ship "in the next few years." UploadVR reports: Appearing on the Morning Brew Daily talk show on Friday, Mark Zuckerberg said "we're actually kind of close to having something here that we're going to have in a product in the next few years." [...] An entirely different approach to finger tracking is to sense the neural electrical signals passing through your wrist to your fingers from your brain, using a technique called electromyography (EMG). Theoretically this could have zero or even negative latency, perfect accuracy, work regardless of lighting conditions, and not be subject to occlusion. When discussing the technology in 2021 Reardon claimed that a recent breakthrough enabled decoding the activity of individual neurons for "almost infinite control over machines." Occlusion-free finger tracking of this quality and reliability could enable precise control of complex interfaces with incredibly subtle movements of your hand resting on your lap, making it an ideal input method for headsets and AR glasses. [...]

So how will this arrive in a Meta product? In early 2023 an internal Meta AR/VR hardware roadmap leaked to The Verge, revealing details about Quest 3, the existence of the headset now rumored to be called Quest 3 Lite, and the cancelation of the 2024 candidate for Quest Pro 2 in favor of a more ambitious but "way out" model. But this roadmap also mentioned that Meta was planning to release the neural wristband alongside the third generation Ray-Ban smartglasses in 2025 as the input method.

According to that roadmap, two models of the wristband will be offered at different price points - one with the neural input tech only and another that also has a display and camera to act as a smartwatch too. A second generation of the wristband will also apparently act as the input device for the true AR glasses Meta plans to launch in 2027. We should however note that this plan or the timeline may have changed in the year since.

"This December, I made a radical change," writes a New York Times tech reporter — ditching their $1,300 iPhone 15 for a $108 flip phone.

"It makes phone calls and texts and that was about it. It didn't even have Snake on it..." The decision to "upgrade" to the Journey was apparently so preposterous that my carrier wouldn't allow me to do it over the phone.... Texting anything longer than two sentences involved an excruciating amount of button pushing, so I started to call people instead. This was a problem because most people don't want their phone to function as a phone... [Most voicemails] were never acknowledged. It was nearly as reliable a method of communication as putting a message in a bottle and throwing it out to sea...

My black clamshell of a phone had the effect of a clerical collar, inducing people to confess their screen time sins to me. They hated that they looked at their phone so much around their children, that they watched TikTok at night instead of sleeping, that they looked at it while they were driving, that they started and ended their days with it. In a 2021 Pew Research survey, 31 percent of adults reported being "almost constantly online" — a feat possible only because of the existence of the smartphone.

This was the most striking aspect of switching to the flip. It meant the digital universe and its infinite pleasures, efficiencies and annoyances were confined to my computer. That was the source of people's skepticism: They thought I wouldn't be able to function without Uber, not to mention the world's knowledge, at my beck and call. (I grew up in the '90s. It wasn't that bad...

"Do you feel less well-informed?" one colleague asked. Not really. Information made its way to me, just slightly less instantly. My computer still offered news sites, newsletters and social media rubbernecking.
There were disadvantages — and not just living without Google Maps. ("I've got an electric vehicle, and upon pulling into a public charger, low on miles, realized that I could not log into the charger without a smartphone app... I received a robot vacuum for Christmas ... which could only be set up with an iPhone app.") Two-factor authentication was impossible.

But "Despite these challenges, I survived, even thrived during the month. It was a relief to unplug my brain from the internet on a regular basis and for hours at a time. I read four books... I felt that I had more time, and more control over what to do with it... my sleep improved dramatically."

"I do plan to return to my iPhone in 2024, but in grayscale and with more mindfulness about how I use it."

An anonymous reader quotes a report from TechCrunch: In recent years, tools such as Figma, TLDraw, Apple's Freeform and Arc browser's Easel functionality have tried to sell the idea of using an "infinite canvas" for capturing and sharing ideas. French startup Kosmik is building on that general concept with a knowledge-capturing tool that doesn't require the user to switch between different windows or apps to capture information. Kosmik was founded in 2018 by Paul Rony and Christophe Van Deputte. Prior to that, Rony worked at a video production company as a junior director, and he wanted a single whiteboard-type canvas instead of file and folders where he could put videos, PDFs, websites, notes and drawings. And that's when he started to build Kosmic, Rony told TechCrunch, drawing on a prior background in computing history and philosophy.

"It took us almost three years to make a working product to include baseline features like data encryption, offline-first mode and build a spatial canvas-based UI," Rony explained. "We have built all of this on IPFS, so when two people collaborate everything is peer-to-peer rather than relying on a server-based architecture." Kosmik offers an infinite canvas interface where you can insert text, images, videos, PDFs and links, which can be opened and previewed in a side panel. It also features a built-in browser, saving users from having to switch windows when they need to find a relevant website link. Additionally, the platform sports a PDF reader, which lets the user extract elements such as images and text.

The tool is useful for designers, architects, consultants, and students to build boards of information for different projects. The tool is useful for them as they don't need to open up a bunch of Chrome tabs and put details into a document, which is not a very visual medium for various media types. Some retail investors are using the app to monitor stock prices and consultants are using them for their project boards. Available via the web, Mac, and Windows, Kosmik ships with a basic free tier, though this has a limit of 50MB of files and 5GB of storage with 500 canvas "elements." For more storage and unlimited elements, the company offers a $5.99 monthly subscription, with plans in place to eventually offer a "pay-once" model for those who only want to use the software on a single device.

Apple has released MLX, a free and open-source machine learning framework for Apple Silicon. Computerworld reports: The idea is that it streamlines training and deployment of ML models for researchers who use Apple hardware. MLX is a NumPy-like array framework designed for efficient and flexible machine learning on Apple's processors. This isn't a consumer-facing tool; it equips developers with what appears to be a powerful environment within which to build ML models. The company also seems to have worked to embrace the languages developers want to use, rather than force a language on them -- and it apparently invented powerful LLM tools in the process.

MLX design is inspired by existing frameworks such as PyTorch, Jax, and ArrayFire. However, MLX adds support for a unified memory model, which means arrays live in shared memory and operations can be performed on any of the supported device types without performing data copies. The team explains: "The Python API closely follows NumPy with a few exceptions. MLX also has a fully featured C++ API which closely follows the Python API."

Apple has provided a collection of examples of what MLX can do. These appear to confirm the company now has a highly-efficient language model, powerful tools for image generation using Stable Diffusion, and highly accurate speech recognition. This tallies with claims earlier this year, and some speculation concerning infinite virtual world creation for future Vision Pro experiences. Ultimately, Apple seems to want to democratize machine learning. "MLX is designed by machine learning researchers for machine learning researchers," the team explains.

For circuit-based quantum computations, the achievable circuit complexity is limited by the quality of timekeeping. That's according to a new analysis published in the journal Physical Review Letters exploring "the effect of imperfect timekeeping on controlled quantum dynamics."

An announcement from the Vienna University of Technology explains its significance. "The research team was able to show that since no clock has an infinite amount of energy available (or generates an infinite amount of entropy), it can never have perfect resolution and perfect precision at the same time. This sets fundamental limits to the possibilities of quantum computers."

ScienceAlert writes: While the issue isn't exactly pressing, our ability to grow systems based on quantum operations from backroom prototypes into practical number-crunching behemoths will depend on how well we can reliably dissect the days into ever finer portions. This is a feat the researchers say will become increasingly more challenging...

"Time measurement always has to do with entropy," says senior author Marcus Huber, a systems engineer who leads a research group in the intersection of Quantum Information and Quantum Thermodynamics at the Vienna University of Technology. In their recently published theorem, Huber and his team lay out the logic that connects entropy as a thermodynamic phenomenon with resolution, demonstrating that unless you've got infinite energy at your fingertips, your fast-ticking clock will eventually run into precision problems. Or as the study's first author, theoretical physicist Florian Meier puts it, "That means: Either the clock works quickly or it works precisely — both are not possible at the same time...."

[F]or technologies like quantum computing, which rely on the temperamental nature of particles hovering on the edge of existence, timing is everything. This isn't a big problem when the number of particles is small. As they increase in number, the risk any one of them could be knocked out of their quantum critical state rises, leaving less and less time to carry out the necessary computations... This appears to be the first time researchers have looked at the physics of timekeeping itself as a potential obstacle. "Currently, the accuracy of quantum computers is still limited by other factors, for example the precision of the components used or electromagnetic fields," says Huber. "But our calculations also show that today we are not far from the regime in which the fundamental limits of time measurement play the decisive role."

An anonymous reader quotes a report from Ars Technica: On Wednesday, a collaborative whiteboard app maker called "tldraw" made waves online by releasing a prototype of a feature called "Make it Real" that lets users draw an image of software and bring it to life using AI. The feature uses OpenAI's GPT-4V API to visually interpret a vector drawing into functioning Tailwind CSS and JavaScript web code that can replicate user interfaces or even create simple implementations of games like Breakout. "I think I need to go lie down," posted designer Kevin Cannon at the start of a viral X thread that featured the creation of functioning sliders that rotate objects on screen, an interface for changing object colors, and a working game of tic-tac-toe. Soon, others followed with demonstrations of drawing a clone of Breakout, creating a working dial clock that ticks, drawing the snake game, making a Pong game, interpreting a visual state chart, and much more.

Tldraw, developed by Steve Ruiz in London, is an open source collaborative whiteboard tool. It offers a basic infinite canvas for drawing, text, and media without requiring a login. Launched in 2021, the project received $2.7 million in seed funding and is supported by GitHub sponsors. When The GPT-4V API launched recently, Ruiz integrated a design prototype called "draw-a-ui" created by Sawyer Hood to bring the AI-powered functionality into tldraw. GPT-4V is a version of OpenAI's large language model that can interpret visual images and use them as prompts. As AI expert Simon Willison explains on X, Make it Real works by "generating a base64 encoded PNG of the drawn components, then passing that to GPT-4 Vision" with a system prompt and instructions to turn the image into a file using Tailwind. You can experiment with a live demo of Make It Real online. However, running it requires providing an API key from OpenAI, which is a security risk.

A long read at the Verge explores the quality of Google's search results — and whether they've been affected by the Search Engine Optimization industry.

But it begins by saying that "A lot of folks' complain that "The links that pop up when they go looking for answers online, they say, are "absolutely unusable"; "garbage"; and "a nightmare" because "a lot of the content doesn't feel authentic."

If so, the question is why. SEO Daron Babin warns that "We're entering a very weird time, technologically, with AI, from an optimization standpoint... All the assholes that are out there paying shitty link-building companies to build shitty articles, now they can go and use the free version of GPT." Soon, he said, Google results would be even worse, dominated entirely by AI-generated crap designed to please the algorithms, produced and published at volumes far beyond anything humans could create, far beyond anything we'd ever seen before. "They're not gonna be able to stop the onslaught of it," he said. Then he laughed and laughed, thinking about how puny and irrelevant Google seemed in comparison to the next generation of automated SEO. "You can't stop it...!"

Nowadays, he mostly invests in cannabis and psychedelics. SEO just got to be too complicated for not enough money, he told me. [SEO Missy] Ward had told me the same thing, that she had stopped focusing on SEO years ago.
But the Verge also spoke to Danny Sullivan, the former journalist who started the SEO-industry site Search Engine Land — who was eventually hired by Google as their "public liaison for serach." And Sullivan "is pissed that people think Google results have gone downhill. Because they haven't, he insisted. If anything, search results have gotten a lot better over time. Anyone who thought search quality was worse needed to take a hard look in the mirror." Sullivan was not the only person who tried to tell me that search results have improved significantly. Out of the dozen-plus SEOs that I spoke with at length, nearly every single one insisted that search results are way better than they used to be...

This was not what I had been noticing, and this was certainly not what I had been hearing from friends and journalists and friends who are journalists. Were all of us wrong...? I began to worry all the people who were mad about search results were upset about something that had nothing to do with metrics and everything to do with feelings and ~vibes~ and a universal, non-Google-specific resentment and rage about how the internet has made our lives so much worse in so many ways, dividing us and deceiving us and provoking us and making us sadder and lonelier.
SEO Lily Ray says Google did change its algorithm in 2016 to fight disinformation, trying to favor sites with "experience, expertise, authoritativeness, and trustworthiness." But the point that really hit me was that for certain kinds of information, Google had undone one of the fundamental elements of what had made its results so appealing from the start. Now, instead of wild-west crowdsourcing, search was often reinforcing institutional authority...

The second major reason why Google results feel different lately was, of course, SEO... Google is harder to game now — it's true. But the sheer volume of SEO bait being produced is so massive and so complex that Google is overwhelmed. "It's exponentially worse," Ray said. "People can mass auto-generate content with AI and other tools," she went on, and "in many cases, Google's algorithms take a minute to catch onto it."

The future that Babin had cackled about at the alligator party was already here. We humans and our pedestrian questions were getting caught up in a war of robots fighting robots, of Google's algorithms trying to find and stop the AI-enabled sites programmed by SEOs from infecting our internet experience.

An anonymous reader quotes a report from The Verge: Here's how your computer should work, according to Mustafa Abdelhai, the co-founder and CEO of a startup called Deta. Instead of a big empty screen full of icons, your desktop should be an infinite canvas on which you can take notes or watch movies or run full apps just by drawing a rectangle on the screen. Instead of logging in to a bunch of cloud services over which you ultimately have no control, you should be able to download software like PC users did 20 years ago, and the stuff you download should be completely yours. All your apps should talk to each other, so you can move data between them or even use multiple apps' features simultaneously. You should be able to use AI to accomplish almost anything. And it should all happen in a browser tab.

For the last couple of years, the Berlin-based Deta has been building what it calls "the personal cloud computer." The product Deta is launching today is called Space OS, and the way Abdelhai explains it, it's the first step in putting the personal back in the personal computer. "Personal computing took a dive at the turn of the century," he says, "when cloud computing became the big thing. We all moved to the cloud, moved our data, and we don't own it anymore. It's just somebody else's computer." Deta wants to give it back. [...]

Deta's idea is both a very new one and a very old one. It harkens back to the early days of computers when you bought software in a box at a store and installed it on your computer. The cloud era, of course, made computing vastly easier and more powerful but also systematically ate away at the idea that you could control anything on your devices. It's an interesting thought experiment, actually: if every cloud service shut down tomorrow, what would be left on your phone or your laptop? Odds are, not much. Deta's trying to undo that a bit, to embrace the cloud and the expansive universe of apps while giving you back the feeling that your computer -- and everything on it -- is yours and no one else's. Because your computer should be yours -- even if it's on somebody's server.

MacKenzie Sigalos writes via CNBC: Sam Bankman-Fried, the alleged crypto criminal who stands accused of masterminding one of the biggest financial frauds in U.S. history, was considering paying Donald Trump $5 billion not to run for president, according to best-selling author Michael Lewis. In an interview with CBS's "60 Minutes" that aired on Sunday, Lewis said the FTX founder wanted to put a stop to a Trump White House run in 2024 over fears that the former president was a threat to democracy. Lewis traces the rise and fall of the crypto entrepreneur in his latest book, "Going Infinite," which comes out on Tuesday, the same day Bankman-Fried's first criminal trial gets underway in New York.

"Sam's thinking, 'We could pay Donald Trump not to run for president. Like, how much would it take?'" Lewis said. "He did get an answer. He was floated -- there was a number that was kicking around. And the number that was kicking around when I was talking to Sam about this was $5 billion. Sam was not sure that number came directly from Trump." According to Lewis, Bankman-Fried's ambition to derail Trump's presidential campaign ultimately went nowhere, in part because he wasn't sure if his proposal was legal. Also, his crypto empire imploded in November 2022, wiping out Bankman-Fried's billions of dollars of wealth.