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Alan Turing and the Limits of Computation

Note: June 23 is Alan Turing’s birth anniversary.

Alan Turing wore many scientific hats in his lifetime: a code-breaker in World War II, a prophetic figure of artificial intelligence (AI), a pioneer of theoretical biology, and a founding figure of theoretical computer science. While the former of his roles continue to catch the fancy of popular culture, his fundamental contribution to the development of computing as a mathematical discipline is possibly where his significant scientific impact persists to date.

You are now entering the AItopia

Launching today, AItopia will explore AI’s impact on design, architecture and humanity both today and in the future. Dezeen features editor Nat Barker introduces the series.

The future has arrived. Having been depicted countless times in sci-fi literature and cinema over the decades, machines that can think for themselves are becoming a reality.

Artificial intelligence (AI) – that is, computers or contraptions performing tasks that would usually require a human brain – is a concept that has captured the shared imagination in some form since ancient times. But it was the British polymath Alan Turing who first seriously addressed the matter in his seminal 1950 paper Computing Machinery and Intelligence. “I propose to consider the question, ‘Can machines think?’” Turing wrote.

The AI feedback loop: Researchers warn of ‘model collapse’ as AI trains generated content

Join top executives in San Francisco on July 11–12, to hear how leaders are integrating and optimizing AI investments for success. Learn More

The age of generative AI is here: only six months after OpenAI’s ChatGPT burst onto the scene, as many as half the employees of some leading global companies are already using this type of technology in their workflows, and many other companies are rushing to offer new products with generative AI built in.

But, as those following the burgeoning industry and its underlying research know, the data used to train the large language models (LLMs) and other transformer models underpinning products such as ChatGPT, Stable Diffusion and Midjourney comes initially from human sources — books, articles, photographs and so on — that were created without the help of artificial intelligence.

Exclusive: Watch Humane’s Wearable AI Projector in Action

Humane, the top-secret tech startup founded by ex-Apple vets Imran Chaudhri and Bethany Bongiorno, just showed off the first demo for its projector-based wearable at a TED talk. Axios’ Ina Fried broke the news, and Inverse has seen a recording of the full TED talk given by Chaudhri.


Humane founder and ex-Apple designer Imran Chaudhri shared the first look at the company’s AI-powered wearable projector. Here’s an exclusive first glimpse of Humane’s screen-less iPhone killer in action and details on its many functions including making and receiving phone calls, summarizing notifications, and translating your voice in real-time.

Now hear this: Voice cloning AI startup ElevenLabs nabs $19M from a16z and other heavy hitters

Join top executives in San Francisco on July 11–12, to hear how leaders are integrating and optimizing AI investments for success. Learn More

ElevenLabs, a year-old AI startup from former Google and Palantir employees that is focused on creating new text-to-speech and voice cloning tools, has raised $19 million in a series A round co-led by Andreessen Horowitz (a16z), former Github CEO Nat Friedman and former Apple AI leader Daniel Gross, with additional participation from Credo Ventures, Concept Ventures and an array of strategic angel investors including Instagram’s co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe and many others.

In addition, Andreessen Horowitz is joining ElevenLabs’ board, citing the late Martin Luther King Jr.’s “I Have a Dream” speech in its blog post on the news, as one of the examples of how the human “voice carries not only our ideas, but also the most profound emotions and connections.”

Elon Musk’s INSANE New TruthGPT STUNS The Entire AI Industry! | ChatGPT Competitor?

Prepare to have your mind blown by Elon Musk’s latest creation: TruthGPT! In this ground-breaking video, we delve into the mind-boggling potential of an AI-powered language model, which has sent shockwaves throughout the AI industry.

TruthGPT is Elon Musk’s idea, a highly advanced and groundbreaking language model that aspires to push the veracity and accuracy of AI-generated material to the forefront. It is intended to address the misinformation, fake news, and biassed narratives that afflict our digital environment. Musk’s goal with TruthGPT is to construct an AI that can present information objectively, factually, and without personal prejudice.

TruthGPT has sent shockwaves through the AI sector with its unmatched capabilities. It has astounded industry experts, researchers, and even competitors. This YouTube video analyses the AI community’s emotions and responses, demonstrating the disbelief and excitement sparked by Elon Musk’s latest creation.

You may be asking, as a ChatGPT user, if TruthGPT is a direct rival to this popular language paradigm. While both models aim to generate human-like prose, their approaches differ. ChatGPT is intended to engage in interactive conversations by giving a variety of responses and information depending on its training data. TruthGPT, on the other hand, places a strong emphasis on assuring accuracy, fact-checking, and unbiased information distribution.

TruthGPT’s implications are enormous and far-reaching. It has enormous potential to change how we consume and engage with AI-generated information. This YouTube video investigates the potential influence of TruthGPT on news organisations, social media platforms, research institutions, and society in general.

Join us as we investigate Elon Musk’s INSANE new brainchild, TruthGPT, and see the incredible discoveries that are altering the AI field. Prepare to be astounded by the ramifications and possibilities of this game-changing technology!