Lifeboat Foundation

Developer Enias Cailliau talks to his girlfriend Sacha on Telegram. She sends him voice memos, texts, and even the occasional selfie. But Sacha isn’t actually real, she’s an AI clone of Cailliau’s real-life girlfriend. Cailliau calls the bot GirlfriendGPT and has now shared his code online for anyone to create their own AI girlfriends too.

“I’d recommend couples to explore the tech as well,” said Sascha Ludwig, whose programmer partner is cloning them with AI.

Everyone is talking AI will do this AI will do that. Was that what people intended AI to do?

1) How will AI help meet demands.

2) How will AI help solve problems.

Continue reading “The Birthplace of AI” »

Different people tend to have unique needs and preferences—particularly when it comes to cleaning or tidying up. Home robots, especially robots designed to help humans with house chores, should ideally be able to complete tasks in ways that account for these individual preferences.

Researchers at Princeton University and Stanford University recently set out to personalize the assistance offered by home robots using large language models (LLMs), a class of artificial intelligence models that are becoming increasingly popular after the release of ChatGPT. Their approach, presented in a paper pre-published on arXiv, was initially tested on a mobile robot called TidyBot engineered to tidy up indoor environments.

“For a robot to personalize physical assistance effectively, it must learn user preferences that can be generally reapplied to future scenarios,” Jimmy Wu, Rika Antonova and their colleagues wrote in their paper. “In this work, we investigate personalization of household cleanup with robots that can tidy up rooms by picking up objects and putting them away.”

Google’s aiming to make it easier to use and secure passwords — at least, for users of the Password Manager tool built into its Chrome browser.

Today, the tech giant announced that Password Manager, which generates unique passwords and autofills them across platforms, will soon gain biometric authentication on PC. (Android and iOS have had biometric authentication for some time.) When enabled, it’ll require an additional layer of security, like fingerprint recognition or facial recognition, before Chrome autofills passwords.

Exactly which types of biometrics are available in Password Manager on desktop will depend on the hardware attached to the PC, of course (e.g. a fingerprint reader), as well as whether the PC’s operating system supports it. Beyond “soon,” Google didn’t say when to expect the feature to arrive.

Two AI tools will be added to Adobe Express: the ability to generate images from text prompts and text effects, where lettering can filled with textures. For example, you might apply a pink balloon… More.

Adobe is bringing its AI tools to Adobe Express as part of a huge upgrade to the content creation service.

Adobe Express can be used to create anything from social media posts to printed posters to promotional flyers. An update being announced today will add even more feathers to its bow, including the ability to create video content and edit PDFs.

Continue reading “Adobe Express Adds AI As Part Of Massive Update” »

😀 😍 Basically chat gpt 4 is a big disruptive program but the positives outweigh the negatives. For instance we could get our usual work done really fast in seconds instead of hours. Much like the Jetsons chat gpt4 will allow us to be free of the grind of too much labor or work but allow for better lifestyles. Too often mental labor was too hard to do or only for people who were talented enough but now anyone can do any task with chat gpt4 this will create a greater AI gold rush also allow for better start ups to achieve what was once only for the few.

Explore the transformative impact of AI in reshaping work hours and fostering flexibility for a healthier work-life balance.

Research has found, while AI could lead to the creation of 69 million new jobs worldwide, it could also result in the loss of 83 million existing jobs.
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Alex Jenkin from the WA Data Science Innovation Hub says it’s more likely people will be replaced by someone who can use AI tools like ChatGPT, rather than artificial intelligence itself.

Continue reading “What industries will feel the most impact from artificial intelligence? | ABC News” »

Artificial intelligence has entered our daily lives. First, it was ChatGPT. Now, it’s AI-generated pizza and beer commercials. While we can’t trust AI to be perfect, it turns out that sometimes we can’t trust ourselves with AI either.

Cold Spring Harbor Laboratory (CSHL) Assistant Professor Peter Koo has found that scientists using popular computational tools to interpret AI predictions are picking up too much “noise,” or extra information, when analyzing DNA. And he’s found a way to fix this. Now, with just a couple new lines of code, scientists can get more reliable explanations out of powerful AIs known as deep neural networks. That means they can continue chasing down genuine DNA features. Those features might just signal the next breakthrough in health and medicine. But scientists won’t see the signals if they’re drowned out by too much noise.

So, what causes the meddlesome noise? It’s a mysterious and invisible source like digital “dark matter.” Physicists and astronomers believe most of the universe is filled with dark matter, a material that exerts gravitational effects but that no one has yet seen. Similarly, Koo and his team discovered the data that AI is being trained on lacks critical information, leading to significant blind spots. Even worse, those blind spots get factored in when interpreting AI predictions of DNA function. The study is published in the journal Genome Biology.

A polymorphic defense and a hyperintelligence that could always adapt to rapid malware changes would be need much like sending The Vision from Ironman seemed to counter the ultron threat. Another scenario is that we could have chat gpt defensive anti-virus that could be local like we have today. The dark side to this AI still is a chaos chat gpt where it always changing not just polymorphic but changing in all ways but still an AI cyberdefense would make this threat lower.

Mutating, or polymorphic, malware can be built using the ChatGPT API at runtime to effect advanced attacks that can evade endpoint detections and response (EDR) applications.