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Google co-founder Sergey Brin sent a memo to employees this week urging them to return to the office “at least every weekday” in order to help the company win the AGI race, The New York Times reports. Brin told employees that working 60 hours a week is a “sweet spot” for productivity. While Brin’s memo […]

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SymbyAI, a SaaS platform that uses AI to streamline scientific research, announced a $2.1 million seed round with participation from Drive Capital and CharacterVC, among others.  Launched just last year by Ashia Livaudais and Michael House, the platform provides organized workspaces for researchers to access papers, code, data, and experiences within one place. It helps […]

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OpenAI intends to eventually integrate its AI video generation tool, Sora, directly into its popular consumer chatbot app, ChatGPT, company leaders said during a Friday office hours session on Discord. Today, Sora is only available through a dedicated web app OpenAI launched in December, which lets users access the AI video model of the same […]

© 2024 TechCrunch. All rights reserved. For personal use only.

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In March 2016, the world witnessed a unique moment in the evolution of artificial intelligence (AI) when AlphaGo, an AI developed by DeepMind, played against Lee Sedol, one of the greatest Go players of the modern era. The match reached a critical juncture in Game 2 with Move 37, where AlphaGo made a move so unconventional and creative that it stunned both the audience and Lee Sedol himself.

This moment has since been recognized as a pivotal point in the evolution of AI. It was not merely a demonstration of AI’s proficiency in playing Go but a revelation that machines could think outside the box and exhibit creativity. This moment fundamentally altered the perception of AI, transforming it from a tool that follows predefined rules to an entity capable of innovation. Since that fateful match, AI continues to drive profound changes across industries, from content recommendations to fraud detection. However, the game-changing power of AI became evident when ChatGPT brought generative AI to the masses.


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The critical moment of ChatGPT

The release of ChatGPT by OpenAI in November 2022 marked another significant milestone in the evolution of AI. ChatGPT, a large language model capable of generating human-like text, demonstrated the potential of AI to understand and generate natural language. This capability opened up new possibilities for AI applications, from customer service to content creation. The world responded to ChatGPT with a mix of awe and excitement, recognizing the potential of AI to transform how humans communicate and interact with technology to enhance our lives.

The rise of agentic AI

Today, the rise of agentic AI — systems capable of advanced reasoning and task execution — is revolutionizing the way organizations operate. Agentic AI systems are designed to pursue complex goals with autonomy and predictability. They are productivity enablers that can effectively incorporate humans in the loop via the use of multi-modality. These systems can take goal-directed actions with minimal human oversight, make contextual decisions, and dynamically adjust plans based on changing conditions.    

Deploy agentic AI today    

Microsoft and NVIDIA are at the forefront of developing and deploying agentic AI systems, providing the necessary infrastructure and tools to enable advanced capabilities such as:

Azure AI services: Microsoft Azure AI services have been instrumental in creating agentic AI systems. For instance, the Azure AI Foundry and Azure OpenAI Service provide the foundational tools for building AI agents that can autonomously perceive, decide, and act in pursuit of specific goals. These services enable the development of AI systems that go beyond simple task execution to more complex, multi-step processes.

AI agents and agentic AI systems: Microsoft has developed various AI agents that automate and execute business processes, working alongside or on behalf of individuals and organizations. These agents, accessible via Microsoft Copilot Studio, Azure AI, or GitHub, are designed to autonomously perceive, decide, and act, adapting to new circumstances and conditions. For example, the mobile data recorder (MDR) copilot at BMW, powered by Azure AI, allows engineers to chat with the interface using natural language, converting conversations into technical insights.

Multi-agent systems: Microsoft’s research and development in multi-agent AI systems have led to the creation of modular, collaborative agents that can dynamically adapt to different tasks. These systems are designed to work together seamlessly, enhancing overall performance and efficiency. For example, Magnetic-One, a high-performance generalist agentic system, is designed to solve open-ended tasks across various domains, representing a significant advancement in agent technology.

Collaboration with NVIDIA: Microsoft and NVIDIA have collaborated deeply across the entire technology stack, including Azure accelerated instances equipped with NVIDIA GPUs. This enables users to develop agentic AI applications by leveraging NVIDIA GPUs alongside NVIDIA NIM models and NeMo microservices across their selected Azure services, such as Azure Machine Learning, Azure Kubernetes Service, or Azure Virtual Machines. Furthermore, NVIDIA NeMo microservices offer capabilities to support the creation and ongoing enhancement of agentic AI applications.

Physical AI and beyond

Looking ahead, the next wave in AI development is physical AI, powered by AI models that can understand and engage with our world and generate their actions based on advanced sensory input. Physical AI will enable a new frontier of digitalization for heavy industries, delivering more intelligence and autonomy to the world’s warehouses and factories, and driving major advancements in autonomous transportation. The NVIDIA Omniverse development platform is available on Microsoft Azure to enable developers to build advanced physical AI, simulation, and digital twin applications that accelerate industrial digitalization.

As AI continues to evolve, it promises to bring even more profound changes to our world. The journey that was sparked from a single move on a Go board to the emergence of agentic and physical AI underscores the incredible potential of AI to innovate, transform industries, and elevate our daily lives.

Experience the latest in AI innovation at NVIDIA GTC

Discover cutting-edge AI solutions from Microsoft and NVIDIA, that push the boundaries of innovation. Join Microsoft at the NVIDIA GTC AI Conference from March 17 to 21, 2025, in San Jose, California, or virtually.

Visit Microsoft at booth #514 to connect with Azure and NVIDIA AI experts and explore the latest AI technology and hardware. Attend Microsoft’s sessions to learn about Azure’s comprehensive AI platform and accelerate your innovation journey.

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This content was produced by Microsoft and NVIDIA. It was not written by MIT Technology Review’s editorial staff.

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This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

An AI companion site is hosting sexually charged conversations with underage celebrity bots

Botify AI, a site for chatting with AI companions that’s backed by the venture capital firm Andreessen Horowitz, hosts bots resembling real actors that state their age as under 18, engage in sexually charged conversations, offer “hot photos,” and in some instances describe age-of-consent laws as “arbitrary” and “meant to be broken.”

When MIT Technology Review tested the site this week, we found popular user-created bots taking on underage characters meant to resemble Jenna Ortega as Wednesday Addams, Emma Watson as Hermione Granger, and Millie Bobby Brown, among others. 

The conversations—along with the fact that Botify AI includes “send a hot photo” as a feature for its characters—suggest that the ability to elicit sexually charged conversations and images is not accidental. Instead, sexually suggestive conversations appear to be baked in. Read the full story.

—James O’Donnell

OpenAI just released GPT-4.5 and says it is its biggest and best chat model yet

What’s new: OpenAI has just released GPT-4.5, a new version of its flagship large language model which it claims is its biggest and best model for chat yet. The new model, which is already available for subscribers to OpenAI’s ChatGPT Pro tier, is part of its non-reasoning lineup.

Why it matters: OpenAI won’t say exactly how big its new model is. But it says the jump in scale from GPT-4o to GPT-4.5 is the same as the jump from GPT-3.5 to GPT-4o. Experts have estimated that GPT-4 could have as many as 1.8 trillion parameters, the values that get tweaked when a model is trained. Read the full story.

—Will Douglas Heaven

How a volcanic eruption turned a human brain into glass

They look like small pieces of obsidian, smooth and shiny. But a set of small black fragments found inside the skull of a man who died in the eruption of Mount Vesuvius in Southern Italy, in the year 79 CE, are thought to be pieces of his brain—turned to glass.

The discovery, reported in 2020, was exciting because a human brain had never been found in this state. 

Now, scientists studying his remains believe they’ve found out more details about how the glass fragments were formed. Read the full story.

—Jessica Hamzelou

To read more about this fascinating story, check out the latest edition of The Checkup, our weekly biotech newsletter. Sign up to receive it in your inbox every Thursday.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 A judge has blocked mass firings of US federal workers
After ruling the terminations were probably illegal. (WP $)
+ Trump’s purges align with his personal campaign against the federal government. (The Atlantic $)
+ The DOGE cuts are likely to get much, much worse. (Wired $)

2 Donald Trump’s migrant crackdown is fuelling a surveillance boom
Firms are rushing to ready tracking tech to meet the administration’s demands. (The Guardian)
+ Things aren’t looking so rosy for other big government contractors, though. (WSJ $)

3 The US is weighing up vaccinating chickens against bird flu
The country’s egg supply is under serious strain. (Wired $)
+ More than 35 million birds have been culled this year alone. (BBC)
+ Businesses are struggling, and consumers are suffering. (The Atlantic $)
+ How the US is preparing for a potential bird flu pandemic. (MIT Technology Review)

4 An AI model is capable of solving million-step math problems
Far beyond the capacity of any human. (IEEE Spectrum)
+ Why does AI being good at math matter? (MIT Technology Review)

5 How map apps deal with government disputes over place names
Including the Gulf of Mexico/America. (Rest of World $)

6 A new AI system neutralizes call center staff’s Indian accents
The industry’s largest operator is preparing to roll it out in Latin America, too. (Bloomberg $)
+ How this grassroots effort could make AI voices more diverse. (MIT Technology Review)

7 The future of xenotransplantation
Cross-species organ transplants are on the rise, but risks remain. (Knowable Magazine)
+ A woman in the US is the third person to receive a gene-edited pig kidney. (MIT Technology Review)

8 This Abu Dhabi royal is obsessed with AI 
And he’s willing to splash his colossal wealth to transform his tiny emirate into a major AI player. (WSJ $)

9 Alibaba’s new video model is a big hit among AI porn fans
And they’re already sharing their creations. (404 Media)
+ Three ways we can fight deepfake porn. (MIT Technology Review)

10 No good can come from having your read receipts turned on
Do yourself a favor and switch ‘em off. (Vox)

Quote of the day

“I recommend being in the office at least every weekday… I think we have all the ingredients to win this race, but we are going to have to turbocharge our efforts.”

—Google co-founder Sergey Brin urges the company’s AI teams to work harder to beat its competition to become the first firm to achieve artificial general intelligence, the New York Times reports.

The big story

The US wants to use facial recognition to identify migrant children as they age

August 2024

The US Department of Homeland Security (DHS) plans to collect and analyze photos of the faces of migrant children at the border in a bid to improve facial recognition technology, MIT Technology Review can reveal.

The technology has traditionally not been applied to children, largely because training data sets of real children’s faces are few and far between, and consist of either low-quality images drawn from the internet or small sample sizes with little diversity. Such limitations reflect the significant sensitivities regarding privacy and consent when it comes to minors.

In practice, the new DHS plan could effectively solve that problem. But, beyond concerns about privacy, transparency, and accountability, some experts also worry about testing and developing new technologies using data from a population that has little recourse to provide—or withhold—consent. Read the full story.

—Eileen Guo

We can still have nice things

A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or skeet ’em at me.)

+ Congratulations to Hilda Jackson, 105 years young and still raving!
+ If you’re a chronic procrastinator, here’s some helpful tips to break the cycle.
+ All aboard the dog bus! (thanks Beth!)
+ In more canine news, I need a one-way ticket to Puppy Mountain, stat.

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This article first appeared in The Checkup, MIT Technology Review’s weekly biotech newsletter. To receive it in your inbox every Thursday, and read articles like this first, sign up here.

This week I’ve been working on a story about a brain of glass. About five years ago, archaeologists found shiny black glass fragments inside the skull of a man who died in the Mount Vesuvius eruption of 79 CE. It seems they are pieces of brain, turned to glass.

Scientists have found ancient brains before—some are thought to be at least 10,000 years old. But this is the only time they’ve seen a brain turn to glass. They’ve even been able to spot neurons inside it.

The man’s remains were found at Herculaneum, an ancient city that was buried under meters of volcanic ash following the eruption. We don’t know if there are any other vitrified brains on the site. None have been found so far, but only about a quarter of the city has been excavated.

Some archaeologists want to continue excavating the site. But others argue that we need to protect it. Further digging will expose it to the elements, putting the artifacts and remains at risk of damage. You can only excavate a site once, so perhaps it’s worth waiting until we have the technology to do so in the least destructive way.

After all, there are some pretty recent horror stories of excavations involving angle grinders, and of ancient body parts ending up in garages. Future technologies might eventually make our current approaches look similarly barbaric.

The inescapable fact of fields like archaeology or paleontology is this: When you study ancient remains, you’ll probably end up damaging them in some way. Take, for example, DNA analysis. Scientists have made a huge amount of progress in this field. Today, geneticists can crack the genetic code of extinct animals and analyze DNA in soil samples to piece together the history of an environment.

But this kind of analysis essentially destroys the sample. To perform DNA analysis on human remains, scientists typically cut out a piece of bone and grind it up. They might use a tooth. But once it has been studied, that sample is gone for good.

Archaeological excavations have been performed for hundreds of years, and as recently as the 1950s, it was common for archaeologists to completely excavate a site they discovered. But those digs cause damage too.

Nowadays, when a site is discovered, archaeologists tend to focus on specific research questions they might want to answer, and excavate only enough to answer those questions, says Karl Harrison, a forensic archaeologist at the University of Exeter in the UK. “We will cross our fingers, excavate the minimal amount, and hope that the next generation of archaeologists will have new, better tools and finer abilities to work on stuff like this,” he says.

In general, scientists have also become more careful with human remains. Matteo Borrini, a forensic anthropologist at Liverpool John Moores University in the UK, curates his university’s collection of skeletal remains, which he says includes around 1,000 skeletons of medieval and Victorian Britons. The skeletons are extremely valuable for research, says Borrini, who himself has investigated the remains of one person who died from exposure to phosphorus in a match factory and another who was murdered.

When researchers ask to study the skeletons, Borrini will find out whether the research will somehow alter them. “If there is destructive sampling, we need to guarantee that the destruction will be minimal, and that there will be enough material [left] for further study,” he says. “Otherwise we don’t authorize the study.”

If only previous generations of archaeologists had taken a similar approach. Harrison told me the story of the discovery of “St Bees man,” a medieval man found in a lead coffin in Cumbria, UK, in 1981. The man, thought to have died in the 1300s, was found to be extraordinarily well preserved—his skin was intact, his organs were present, and he even still had his body hair.

Normally, archaeologists would dig up such ancient specimens with care, using tools made of natural substances like stone or brick, says Harrison. Not so for St Bees man. “His coffin was opened with an angle grinder,” says Harrison. The man’s body was removed and “stuck in a truck,” where he underwent a standard modern forensic postmortem, he adds.

“His thorax would have been opened up, his organs [removed and] weighed, [and] the top of his head would have been cut off,” says Harrison. Samples of the man’s organs “were kept in [the pathologist’s] garage for 40 years.”

If St Bees man were discovered today, the story would be completely different. The coffin itself would be recognized as a precious ancient artifact that should be handled with care, and the man’s remains would be scanned and imaged in the least destructive way possible, says Harrison.

Even Lindow man, who was discovered a mere three years later in nearby Manchester, got better treatment. His remains were found in a peat bog, and he is thought to have died over 2,000 years ago. Unlike poor St Bees man, he underwent careful scientific investigation, and his remains took pride of place in the British Museum. Harrison remembers going to see the exhibit when he was 10 years old. 

Harrison says he’s dreaming of minimally destructive DNA technologies—tools that might help us understand the lives of long-dead people without damaging their remains. I’m looking forward to covering those in the future. (In the meantime, I’m personally dreaming of a trip to—respectfully and carefully—visit Herculaneum.)


Now read the rest of The Checkup

Read more from MIT Technology Review‘s archive

Some believe an “ancient-DNA revolution” is underway, as scientists use modern technologies to learn about human, animal, and environmental remains from the past. My colleague Antonio Regalado has the details in his recent feature. The piece was published in the latest edition of our magazine, which focuses on relationships.

Ancient DNA analysis made it to MIT Technology Review’s annual list of top 10 Breakthrough Technologies in 2023. You can read our thoughts on the breakthroughs of 2025 here

DNA that was frozen for 2 million years was sequenced in 2022. The ancient DNA fragments, which were recovered from Greenland, may offer insight into the environment of the polar desert at the time.

Environmental DNA, also known as eDNA, can help scientists assemble a snapshot of all the organisms in a given place. Some are studying samples collected from Angkor Wat in Cambodia, which is believed to have been built in the 12th century.

Others are hoping that ancient DNA can be used to “de-extinct” animals that once lived on Earth. Colossal Biosciences is hoping to resurrect the dodo and the woolly mammoth.

From around the web

Next-generation obesity drugs might be too effective. One trial participant lost 22% of her body weight in nine months. Another lost 30% of his weight in just eight months. (STAT)

A US court upheld the conviction of Elizabeth Holmes, the disgraced founder of the biotechnology company Theranos, who was sentenced to over 11 years for defrauding investors out of hundreds of millions of dollars. Her sentence has since been reduced by two years for good behavior. (The Guardian)

An unvaccinated child died of measles in Texas. The death is the first reported as a result of the outbreak that is spreading in Texas and New Mexico, and the first measles death reported in the US in a decade. Health and Human Services Secretary Robert F. Kennedy Jr. appears to be downplaying the outbreak. (NBC News)

A mysterious disease with Ebola-like symptoms has emerged in the Democratic Republic of Congo. Hundreds of people have been infected in the last five weeks, and more than 50 people have died. (Wired)

Towana Looney has been discharged from the hospital three months after receiving a gene-edited pig kidney. “I’m so grateful to be alive and thankful to have received this incredible gift,” she said. (NYU Langone)

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