Listen to the session or watch below
Elon Musk lost his suit against OpenAI, in which he alleged CEO Sam Altman and President Greg Brockman had deceived him over the company’s non-profit status.
Watch as AI reporter and attorney Michelle Kim, who covered the trial for MIT Technology Review, joins in conversation with editor in chief Mat Honan to go behind the scenes of the trial and the implications for the AI race.
Speakers: Mat Honan, Editor in Chief, and Michelle Kim, AI Reporter
Recorded on May 19, 2026
Related Stories:
- Elon Musk and Sam Altman are going to court over OpenAI’s future
- Musk v. Altman week 1: Elon Musk says he was duped, warns AI could kill us all, and admits that xAI distills OpenAI’s models
- Musk v. Altman week 2: OpenAI fires back, and Shivon Zilis reveals that Musk tried to poach Sam Altman
- Musk v. Altman week 3: Musk and Altman traded blows over each other’s credibility. Now the jury will pick a side.
- Here’s why Elon Musk lost his suit against OpenAI
Throughout 2025, HPE observed significant changes in how cybercriminals operate. Analyzing real-world threats, our HPE Threat Labs highlighted an industrialization of the cyber criminals’ methods in its new In the Wild Report, enabling greater scale, speed and structure in their campaigns. They typically use automation and AI to exploit longstanding vulnerabilities, and many have adopted a professional, corporate hierarchy to optimize their efficiency.

Cybersecurity threats today are as menacing as ever for enterprises, as any CISO or CIO can probably confirm. But, digging behind that straightforward statement, there is a much more nuanced, complex cybersecurity landscape at play. This can make it significantly harder to plan, execute, and sustain effective strategies and solutions to protect the network—plus the often valuable—sometimes priceless—data, apps, and assets it transports and stores.
But it can be done, with the right philosophy and strategy, and the right tools and insights.
We must first understand the contemporary cybersecurity landscape. This understanding can unlock the right strategy and then onward to identify the tools and insights necessary to protect an enterprise’s network effectively.
There are five primary factors influencing the landscape, some old, some new, all dynamic. These factors are distinct but often interdependent, both within themselves and with one or more of the others. Another meaningful way of looking at them is “internal” and “external”; as ever, understanding and dealing with what is in your control can also help to navigate and mitigate what is beyond your control.
Five key factors influencing today’s dynamic cybersecurity landscape
1. Expectations
The first factor is predicated on the fundamental reality of an enterprise’s reliance on its network. Most enterprises have already undergone some form of digital transformation and are reaping the day-to-day benefits. This means that the number of people, devices, and things using the network continues to grow; it also means that people’s expectations of the network are higher than ever before – they demand that it does exactly what they need it to do, typically across a proliferation of devices and from multiple locations. Conversely, many employees might not be fully aware of cyber threats and infiltration methods, so their skillsets can easily be the weak point that admits bad actors into the network.
Equally, senior management and board members have high expectations at a meta level. Embracing digital transformation and network reliance means the enterprise’s function and reputation are inextricably tied to that. Loss of reputation due to a security breach is a chilling prospect, as is the threat of financial penalty and revenue loss. So, in the minds of leadership, the network has to be safe from cyber threats and be compliant.
2. Financial pressures
The first factor arguably contradicts its neighbor in the landscape: general financial constraints and the pressure on CISOs and CIOs to achieve more with less. Despite the strategic reliance on the network and the expectation that it will be protected from cyber threats regardless, the appropriate latticework of defenses (e.g., skilled and right-sized IT teams using progressive tools and meaningful data insights, plus constant workforce education) is not always properly funded and sustained, particularly in the current tough economic climate.
3. Complex infrastructure operations
The ongoing pursuit of digital transformation and consequent network reliance also drives the third factor. Ironically, there is another facet of enterprise protection and financial control wrapped up in this. The widespread move from one-stop shops (avoiding IT vendor lock-in in favor of more competitive pricing and autonomy) has created a more complex, multivendor environment. This is coupled with multiple IT domains required to handle many diverse functions and layers of IT infrastructure (e.g., cloud, on-prem), all connected to the network. Complex, mission-critical IT operations now need to be monitored and protected from increasingly sophisticated cyber breaches.
4. Unpredictable geopolitics and economics
Shifting from the first three factors—all internal to an enterprise—the fourth is unquestionably external and without doubt the most intractable risk for any enterprise, individual, or industry group. Global uncertainty and tension are unavoidably putting even greater pressure on already-tight IT budgets, component supply chains and power costs. This can easily exacerbate existing constraints on cybersecurity budgets when vigilance and protection are more needed than ever. Unfortunately, in cyberspace one cannot always point a finger in one direction to identify an adversary. Geopolitical alliances in cyberspace are much more difficult to track, and defending against an escalating tension becomes an all-out fight to secure the network.
5. Evolving cyber threats
The fifth factor is obviously the epicenter of today’s cyber security landscape. According to the HPE Threat Labs’ report, governments were the most frequently targeted sector globally in 2025, followed by finance, technology, defense, and manufacturing. The prevailing global geopolitical and economic situation may further accelerate the twin motivations of nation state-linked espionage and organized crime for extortion and theft.
Use the network to protect the network… and beyond
The current cybersecurity landscape calls for a re-think of the network’s pivotal role and how it can manage an enterprise’s digital defenses effectively, dynamically, and comprehensively. Overall, the network can be an excellent security sensor and enforcement point, using built-in security capabilities rather than being a collection of devices with an inflexible, bolted-on security layer.
Much as cybercriminals use agentic and generative AI to intensify their campaigns, CISOs can stay ahead more easily by leveraging AI-driven network platforms for 24×7 automated management of security policy enforcement (e.g., zero trust), threat monitoring, and mitigation, encompassing devices, things, and users. Meaningful data insights can be harvested, analyzed, and recycled back into secure networking management tools for dynamic protection.
This approach helps the progressive enterprise to overcome increasingly sophisticated, multi-step, and prolific attacks, while better managing IT costs and simplifying oversight of IT operations. It can also significantly improve the user experience, going a long way to meet and even exceed those rising expectations consistently.
As a strategy in today’s uncertain world, embracing this self-driving network paradigm enables flexibility, visibility, and consistency in an enterprise’s frontline digital defenses.
For more, read the “In the Wild” report.
This content was produced by HPE. It was not written by MIT Technology Review’s editorial staff.
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.
Here’s why Elon Musk lost his suit against OpenAI
Elon Musk has lost his lawsuit against OpenAI, which centered on whether the company breached its founding contract as a nonprofit. A jury found that he sued too late, meaning his claims are barred by statutes of limitations. But the verdict didn’t judge if OpenAI violated its nonprofit mission—only whether Musk brought the case in time.
The dispute centers on when OpenAI began shifting toward a for-profit structure. The company argued that signs of a shift were visible as early as 2017, while Musk said he only discovered the change in 2022.
—Michelle Kim
Join us later today for a subscriber-only Roundtables discussion about what happened in the courtroom and what the verdict means for OpenAI and the larger AI race. Register here.
Inside Anduril and Meta’s quest to make smart glasses for warfare
The defense-tech company Anduril has shared new details about the augmented-reality headset for the military it’s prototyping with Meta, including a vision for ordering drone strikes via eye-tracking and voice commands.
Quay Barnett, who leads the effort at Anduril following a career in the Army’s Special Operations Command, says he aims to optimize “the human as a weapons system.” Find out how he plans to do it—and what smart glasses could mean for warfare.
—James O’Donnell
What to expect at Google I/O this week
When Google opens its doors today for its annual developer conference, I/O, it will do so as a clear third place in the foundation model race.
A foundation model’s reputation these days rests largely on its coding capabilities, and for months Google’s coding tools have been outgunned by Anthropic’s Claude Code and OpenAI’s Codex. But the company still shapes the cutting edge in areas such as AI for science. At I/O this week, it will try to prove it can compete on both fronts.
I’m going to be at Mountain View this week to see what goes down. Here are three things to keep a close eye on.
—Grace Huckins
This story is from The Algorithm, our weekly newsletter giving you the inside track on all things AI. Sign up to receive it in your inbox every Monday.
Can AI learn to understand the world?
As the limits of LLMs become clearer, researchers are developing a new kind of AI designed to understand the physical environment: world models.
Recent developments from Google DeepMind, Fei-Fei Li’s World Labs, and Yann LeCun’s new startup have pushed these systems to the forefront of AI. At an upcoming virtual event, MIT Technology Review will examine the progress—and what comes next.
On Thursday, May 21, editor in chief Mat Honan, senior AI editor Will Douglas Heaven, and AI reporter Grace Huckins will take part in an exclusive Roundtables discussion on world models. Register here to join the session at 19:30 GMT / 2:30 PM ET / 11:30 AM PT.
World models are one of our 10 Things That Matter in AI Right Now, a new guide to the technologies and ideas shaping the future of AI.
The must-reads
I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.
1 OpenAI’s legal win over Elon Musk clears its path to a blockbuster IPO
The jury’s verdict was a critical moment for the company’s future. (Reuters $)
+ The trial spilled plenty of dirt about Silicon Valley. (MIT Technology Review)
+ And added to concerns about AI’s leadership. (The Verge)
2 Google and Blackstone are launching a new AI cloud company
The venture will use Google’s specialized chips. (Bloomberg $)
+ It aims to mount a challenge to Nvidia. (FT $)
+ Blackstone is investing $5 billion in the company. (WSJ $)
3 Meta is reshaping its workforce around AI while preparing deep layoffs
It’s reassigning 7,000 employees to four new AI-focused groups. (NYT $)
+ And plans to lay off 10% of its staff on Wednesday. (Reuters $)
+ More cuts are expected later this year. (CNBC)
4 The Iran conflict is straining the AI supply chain
TSMC, Foxconn, and Infineon have felt major disruption. (CNBC)
+ The war also threatens a vital water technology. (MIT Technology Review)
5 China’s AI-powered brain implants are moving to real-world use
Some devices will soon be sold to the public. (Nature)
+ BCIs now must be proven as products. (MIT Technology Review)
6 A US cybersecurity agency exposed its own digital keys on GitHub
A researcher said it’s the worst leak he’s ever seen. (Krebs on Security)
+ The culprit was the CISA, a relatively new branch of the DHS. (Gizmodo)
7 Supercharging immune cells may help control HIV long-term
CAR-T cell therapy is showing promise for managing HIV. (Wired $)
8 Filipino virtual assistants are powering “thought leadership” on LinkedIn
Low-paid workers use AI to write posts for Western executives. (Rest of World)
9 Big Four accounting firms have more job ads for AI staff than auditors
Accounting giants are rushing to adapt to technological disruption. (FT $)
10 Tech founders are being sent to etiquette school
In the AI era, soft skills may matter more than ever. (WSJ $)
Quote of the day
“Shit, I should have asked for more.”
—President Trump tells Fortune that he should have requested a greater share of Intel than the 10% stake that the US government received.
One More Thing
Think that your plastic is being recycled? Think again.
On a kayak trip through a Connecticut salt marsh, plastic waste appears almost immediately. There are bags in reeds, bottles in the water, and tiny pieces scattered everywhere. What looks like a pristine ecosystem is already saturated.
Plastic is produced at enormous scale but rarely recycled. Instead, it breaks apart into microplastics, which are now detected across the environment and in human bodies.
Read the full story on why plastic pollution is so hard to contain.
—Douglas Main
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.)
+ Discover the beauty hidden within numbers at this charming site.
+ Find out how many millions of miles you’ve traveled through space since birth.
+ An extraordinary image has captured the split-second the ISS silhouetted itself against the Moon.
+ The most insane megaproject you’ve never heard of tried to turn atomic bombs into peaceful construction tools.
The baby chicks were shifting and starting to pip—or trying to hatch. But not from an egg.
Instead, these chickens were growing inside transparent 3D-printed plastic cups at the Dallas headquarters of Colossal Biosciences.
The biotech company today claimed it has developed a “fully artificial egg” as part of its effort to resurrect extinct avian species, including birds like the dodo and the giant moa.
But “artificial eggshell” would probably be a better description for the invention. It’s an oval-shaped printed lattice, coated inside with a special silicone-based membrane that lets in oxygen, just as a real eggshell does.
To generate birds, Colossal took recently laid chicken eggs and carefully poured their contents into the artificial shells, where they continued growing. A window on top lets researchers peek inside.
“To see them all moving around in their artificial eggs was absolutely mind blowing,” says Andrew Pask, the company’s chief biology officer. “You really feel you can grow life outside of the womb.”
Colossal was founded in 2021 with plans to use gene editing and reproductive technology to restore extinct species, including the woolly mammoth. It’s since raised more than $800 million toward what it now terms the “scalable and controllable” creation of animals.
According to Pask, the egg technology could help conserve at-risk bird species. It could also play a role in a project to re-create the extinct giant moa, a flightless 12-foot-tall bird that once lived in New Zealand and laid four-liter eggs, larger than those of any living bird.
But Colossal may be able build one that’s big enough. The company provided a photograph of a prototype 3D-printed egg so large that staff have started to call it the “salad spinner.”
The moa went extinct after canoes carrying the ancestors of the Maori arrived on New Zealand’s South Island about 750 years ago. Archeological sites showcase the birds’ bones alongside stone cutting tools—clear evidence that they were hunted.
To be clear—Colossal isn’t close to re-creating the moa. Before that could happen, scientists would need to study DNA data from old moa bones and insert thousands of genetic changes into the genome of an existing bird, something that’s still technically difficult to do—with or without an artificial egg.
Some scientists also think Colossal is taking too much credit for its artificial eggshell, which it announced in a thundering YouTube video intoning that the company has solved the “impossible question of which came first, the chicken or the egg.”
The video is pure Hollywood—it’s meant to be funny and exciting. But Colossal has a habit of antagonizing scientists by making false and exaggerated claims. Last year, for instance, the company said it had re-created the extinct dire wolf—a claim widely rejected by experts.
This time, Colossal’s fluffed-up assertion of having created the “first-ever shell-less incubation system” is what’s raising hackles among the small flock of scientists who’ve been working on the technology for years.
“Clearly an overstatement,” says Katsuya Obara, at the University of Tsukuba in Japan, who in 2024 hatched chickens from beneath transparent plastic film. “The technology here is essentially a modification of existing methods.”
In fact, Obara notes, growing birds in artificial containers goes all the way back to 1998, when another Japanese group managed to do it with quail.
What may be an advance by Colossal is the special membrane, which lets the embryo access more oxygen. Previous systems required scientists to supplement the gas—something that may not have been good for the chicks, as often some of them would fail to hatch.
The work on the artificial eggshell was carried out in Dallas by Colossal’s exogenous development team, or Exo Dev. That group is also trying to develop artificial wombs for mammals, starting with marsupials.
“We’re looking at every single facet of what’s happening during a mammalian pregnancy to unpack exactly how we then go about recapitulating that,” says Pask.
For that team, an artificial eggshell is a relatively quick and easy technical win. That’s because chickens are already an example of ex utero development. After an egg is laid, a small embryo sitting on top of the yolk starts growing, drawing nutrients from the yolk, the white, and even the shell, which provides calcium. (Colossal says it has to add ground-up calcium to the artificial eggs.)
In order to create a moa, Colossal will have to genetically alter another type of bird, changing potentially thousands of DNA letters. But so far, chickens are the only bird species that can be genetically engineered. And that’s via a tricky process of editing stem cells that produce egg and sperm. Scientists have to add or delete DNA letters from these cells and then inject them back into an egg. The resulting bird will carry the genetic changes in its gonads—and then be able to pass them on.
Pask says Colossal’s idea is that it could modify avian stem cells enough to produce moa-like sperm or eggs. But then you might have the odd situation of a chicken laying an egg with a moa embryo inside it. “You would have chickens making moa egg and moa sperm. But it’s still a chicken egg,” he says.
Helen Sang, a professor emeritus at the Roslin Institute in the United Kingdom, says she’s not sure a moa embryo could survive on the yolk of a chicken egg, given evolutionary differences. “There are significant challenges to overcome to grow an embryo of a different species in artificial eggs,” says Sang.
Just one of those is the huge size discrepancy. The amount of yolk in a chicken egg would hardly be enough to support the much larger moa chick. Yet Pask says that is exactly where the artificial egg will come in handy.
He says it may be possible to use a fine needle to slowly “put 50 yolks together to make that yolk mass much larger.”
“The chicken egg isn’t going to be big enough to support the growth of the moa through to term, to when it would normally hatch, but that’s when you could then take that egg, put it into the artificial egg environment, and then scale it up in size,” he says.
So far, Pask says, the artificial egg is working well for chickens—almost too well. “We hatched 26 chickens and then [our CEO] asked us to put the brakes on. We have too many chickens running around.”
Is your entire AI workflow built around one platform? What’s your plan if it goes down, slows down, or gets too expensive? In this article, you’ll discover how to build AI workflows that aren’t tied to any single platform. Why Portable AI Workflows Matter When marketers find a preferred AI platform, they often build projects, […]
The post Building Portable AI Workflows That You Can Take Anywhere appeared first on Social Media Examiner.
X is looking to boost advertiser interest in its re-built its ad platform, which is now powered by AI.
The new limit will make it cost prohibitive for spammers to flood the app.
AI was the focus at Google’s annual showcase event, with a range of advanced AI generation features across its apps.
