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Meta brings us a step closer to AI-generated movies

Like “Avengers” director Joe Russo, I’m becoming increasingly convinced that fully AI-generated movies and TV shows will be possible within our lifetimes.

A host of AI unveilings over the past few months, in particular OpenAI’s ultra-realistic-sounding text-to-speech engine, have given glimpses into this brave new frontier. But Meta’s announcement today put our AI-generated content future into especially sharp relief — for me at least.

Meta his morning debuted Emu Video, an evolution of the tech giant’s image generation tool, Emu. Given a caption (e.g. “A dog running across a grassy knoll”), image or a photo paired with a description, Emu Video can generate a four-second-long animated clip.

These AI-powered lifts will generate energy on their own

A Zaha Hadid-designed property in Hong Kong will have AI-powered lifts that generate their own energy.


An urban oasis with next-gen elevators

The new structure replaces an old car park to create an urban oasis filled with gardens boasting many plants and trees. Getting to these gardens requires taking Henderson’s next-generation AI-powered lifts.

An official from Henderson properties told Baba that in the future there will be an AI-powered lift assigned to each user so they no longer have to wait for long periods on the ground or on a specific floor. The AI system will be able to appropriately coordinate the lifts to travel according to the number of people waiting for them and their final destinations.

Sam Altman: GPT-5 underway and will substantially differ from GPT-4

OpenAI is seeking more funds from Microsoft to build future models both companies can profit from.


Justin Sullivan/Getty.

Since its blockbuster product, ChatGPT, which came out in November last year, OpenAI has released improved versions of GPT, the AI model that powered the conversational chatbot. Its most recent iteration, GPT Turbo, offers a faster and cost-effective way to use GPT-4.

Putin Wants Russia to Win the Artificial Intelligence Race. Here’s Why it Won’t

“Whoever leads in AI will rule the world,” President Vladimir Putin declared at an address commencing the 2017 Russian school year. Six years later, despite intense focus from senior leadership and heavy investment from the federal budget and state-owned enterprises, Russia remains a laggard in this field, hobbled by international isolation and structural challenges.

Military, political, and business leaders in Moscow have long understood the importance of controlling the information space to secure their grasp on power. After the scare of social media powered “color revolutions” on Russia’s doorstep, Moscow doubled down on these efforts. But facing both headwinds intrinsic to the nature of generative AI and deep, self-inflicted wounds from the war in Ukraine, the window for Russia to take a lead is closing quickly.

Russia’s leaders were caught flat-footed by the rise of social media. The supposed dangers of emerging technology were brought to the fore by Chisinau’s so-called “ Twitter revolution,” when protests organized in part on American social networks prevented Moldova’s ardently pro-Russian Party of Communists from winning the election in 2009.

Training of 1-Trillion Parameter Scientific AI Begins

A US national lab has started training a massive AI brain that could ultimately become the must-have computing resource for scientific researchers.

Argonne National Laboratory (ANL) is creating a generative AI model called AuroraGPT and is pouring a giant mass of scientific information into creating the brain.

The model is being trained on its Aurora supercomputer, which delivers more than an half an exaflop performance at ANL. The system has Intel’s Ponte Vecchio GPUs, which provide the main computing power.

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