2026 · 05 · 21 · THU
13 STORIES · UPDATED 02:20 SGT
THE BIG THING TODAY

Google's I/O 2026 unveils Gemini 3.5 across the stack — agentic Search, smart glasses, and a bet that chatbots are already last-gen.

WIRED AI · 22H AGO · 8 MIN READ

Google just wrapped its keynote address at its annual I/O developer event. The company showed off a swath of new agentic AI features and some demos of its upcoming Android-powered smart glasses.

As it has in the past few years, the spectacle largely revolved around Google’s perpetual stream of AI efforts. The company says that 900 million people use its Gemini assistant, and people have generated more that 50 billion images with Gemini.

Google’s goal for 2026 is to put AI agents at the forefront of all its biggest services: Search, Gmail, YouTube, Docs, and the Chrome browser. In a demo briefing the day before I/O, Google and Alphabet CEO Sundar Pichai said the company was in a period of “hyper progress” with its AI efforts, but acknowledged that this is the part of that cycle “where people want to see real value in the products they use on a day-to-day basis.”

Here is everything Google announced at I/O 2026. And if you’re wondering where all the Android 17 news is, Google told us all about that last week.

Search Party

Google is going all in on keeping people on Search by trying to integrate it into every part of your life. The company has embedded its AI agents directly in Google Search in something it calls the “intelligent search box.” This new search experience starts rolling out to everyone today.

When you ask the search box questions like, “What is a black hole?” or “Are Google AI Overviews devastating the journalism industry,” it will respond with more contextual answers or use generative AI to create images or short video clips that help explain the concept. As an example, Google showed a search about black holes, and its AI agent generated a video that visually explains the process, plopping it right into the search results.

Search is also getting a Generative UI feature, which creates different ways of viewing information from search results, so different types of responses—videos, images, news articles—get custom layouts that are generated in the browser on the fly, based on what’s the most relevant. Generative UI will start showing up in everyone’s Google searches this summer.

Search agents are also being integrated more deeply across Google’s platforms. In March, Google released Ask Maps, which lets users ask questions on Maps like you would interact with a chatbot.

Gemini Everywhere

Google has two new major AI model updates. Gemini 3.5 is officially being released today, along with Gemini 3.5 Flash, a pared-down but more affordable version of 3.5 Pro. Both will be available immediately in Google’s Search and the Gemini app.

Google’s core Gemini app is getting a refresh, with a snazzier redesign called Neural Expressive. It has new colorful backgrounds, a new typeface, and new animations for live voice chats. It also has many more accent options for your chatbot’s voice, with regional accents in several languages.

Daily Brief is an upcoming personalized digest of your day that Google wants to be the first thing you check in the morning. Daily Brief pulls info and data from your calendar, email, and other information to summarize and prioritize your plans for the immediate future. (Google tested out a similar feature in its experimental Google Labs in December.)

The company is also adding new Gemini-powered features to its other services. An Ask YouTube feature lets you pose natural search queries in YouTube. Ask it how to ride a bike or how to grill a steak, and an agent will then be tasked with finding a mix of relevant YouTube videos. It’ll even snap right to the points within the videos that answer your questions.

Much weirder is voice editing in Google Docs, in a new feature called Docs Live. By describing with your voice what you want to write, an agent will dictate your words, generate text, pull in citations from the web, and aim to turn your stream-of-consciousness wishes into a coherent document.

(Reminder: All this stuff may eventually have ads.)

For Gemini power users, Google is creating a new subscription tier, the AI Ultra plan, for $100 a month. It is also dropping the price of its top Gemini AI Ultra from $250 a month to $200.

Gemini Omni

Google announced Gemini Omni, an AI video generator akin to Sora 2. That was OpenAI’s generator that let you deepfake yourself but was eventually killed by the company.

Google’s approach is building out a far more realistic video generator that can incorporate real video and extrapolate all manner of AI-powered weirdness on top of that. Google is eager for you to turn Omni’s eye on yourself, putting your face front and center. As such, selfie videos can be modified to add different backgrounds, styles, or environments, making it appear that you are somewhere other than your actual location.

The feature was demoed onstage with a video of someone recording themselves walking through a metal sculpture. They then asked Omni to change the structure to look like it was made of bubbles. You can also add images and video of yourself from your camera roll and generate just about any variety of cinematic style. Google says Omni is capable of advanced animations and fun typography.

Google’s approach is focusing Omni on video creation first, though it says still-image and text capabilities will be coming later. Eventually, Google says it wants to let Omni create any output with any input.

Read more about Omni in Reece Rogers’ story on WIRED. OmniFlash, a starter version of Omni, is available starting today for Google AI+ Pro and Ultra subscribers.

Gemini Spark

Gemini Spark is Google’s answer to OpenClaw, the viral AI-powered helper bot that could be used to help with real life needs like buying groceries or researching vacation options (and occasionally causing you to wind up in a scam).

Spark can write emails or plan a block party and pull information from files in your Google Drive. It is meant to be a personal agent just for you, keeping up with your schedule so it knows the rhythms of your life, learns what major events are coming up, and can help manage long-term or recurring tasks for you.

Spark runs entirely on Google Cloud, which Google says means it can process background requests without having to leave your device on. For now Spark just works with other Google software, though not with the Chrome browser quite yet. Google says that is coming, along with third-party support, later this summer.

WIRED’s Reece Rogers has a deeper dive into Spark.

Agents Love Shopping

To help you manage all of your online shopping, Google will start deploying an agentic-powered shopping experience. As you search for products, Google will show you listings that it hosts for products for sale at various retailers. You can also shop the old-fashioned way, by going to various websites and perusing the listings there.

The big difference is that now, Google will offer a universal shopping cart. Just add the products you’re interested in as you surf, and Google’s agent will keep your wish list organized. It can alert you to price changes and tell you when there’s a newer version or a new color option available. While products are sitting in your cart, you can engage Gemini to ask for more details about your potential purchases, add other products to the cart, or try to find better deals at other retailers.

When you want to pull the trigger on a purchase, you can do that within the universal shopping cart using Google’s secure payment system. The agent can buy everything in your cart for you, even if the things you want are scattered across various stores around the web. You also get the option to go buy those things at the original retailer’s sites if you want.

Go With the Flow

Last year, Google showed off its Flow tool set for creating videos, images, and music. This year, Flow gets some new capabilities that will make it easier for people to create promo videos, party invitations, music videos, and short films.

Flow’s tools are made for people who have an idea of some creative project they want to put out into the world, but they don’t have the camera equipment, musical talent, editing expertise, professional software, or studied knowledge of the medium to pull it off. We’ve all been there—and now we all get a piece of software to bridge that gap.

For example, you can upload a single photograph to Flow, then it will generate 16 unique video clips that bring that image to life, preserving the people in the photo, the setting, and any kind of narrative the photo seems to be conveying. If you can barely play the piano or guitar, you can upload a short sketch of a melody, then ask Flow to build that up into a song that sounds slickly produced and aligns with a particular genre, like country or R&B or reggae. (Please do not choose reggae.)

Google’s “Intelligent Eyewear” Is Here

Don’t call them smart glasses! There are two types of Google “intelligent eyewear,” one set of products with audio-only features, and another product type that has a small display window incorporated into the lenses. The company is creating these in partnership with Samsung (for the tech) and a small group of eyewear companies (for the style) to build out its Android XR platform.

Google’s first audio glasses will arrive this fall, the company says. They serve as an interface to Gemini voice chat. They have speakers in the temples that can whisper directly into your ear, and they have cameras on them so Gemini can see what you’re looking at, which enables you to ask questions about the real world. The frames are made in collaboration with glasses brands Warby Parker and Gentle Monster. We’ll get pricing details later this year.

The versions with the built-in display are still in development, and Google will only say they are coming after the audio-only glasses. Those will be able to show you text messages, live directions, and image results from search. Also, both types of glasses can do live translation across languages, but the glasses with a display will allow you to see the translated text superimposed in your field of view.

The glasses can also be used to access Nano Banana, Google’s AI image-generation tool. So for example, you can point the cameras at a scene, ask Gemini to take a picture, and then use Nano Banana to add AI effects or objects that aren’t really there. If you have a version of the glasses without the display, you can see those images on your phone or your Android-powered smartwatch.

WIRED’s Julian Chokkattu got to demo all of the new glasses—even the unfinished ones—and has a more in-depth look at what’s headed for your face this year and beyond.

Read on wired.com →

Stability AI ships a new audio model that can generate coherent six-minute songs from a single text prompt.

TECHCRUNCH AI · 3H AGO · 2 MIN

Stability AI, the company behind Stable Diffusion, is releasing a new family of audio models, called Stability Audio 3.0. The top model can generate professional-grade music of more than six minutes long, the company claimed.

The company is releasing four new models under the Stable Audio 3.0 name: small SFX (459M parameters), small (459M parameters), medium (1.4B parameters), and large (2.7B parameters). The duo of small models is suitable for on-device sound and music generation of up to two minutes.

Both medium and large models can create full compositions of 6 minutes, 20 seconds long that can maintain musical structure and melodic tone. This is more than double the length of what Stable Audio 2.0, released in 2024, was capable of generating.

Stability AI is making small SFX, small, and medium models available with open weights for anyone to use and modify. In 2024, the company released Stable Audio Open, which allowed for music generation of up to 47 seconds. The new family of models is a big step up from the previous open versions.

The large model is available only through the API and self-hosting paid services. Plus, companies with more than $1 million in revenue would need to get an enterprise license.

Many companies, including Google and ElevenLabs, are releasing models and tooling around music generation. However, as Suno’s and Udio’s ongoing court battles have proved, licensing of data and partnerships with music labels could become a key part of the long-term survival of these services.

Last year, Stability AI inked deals with Warner Music Group and Universal Music Group to develop models and music-creation tools. The company said that its latest set of audio models is built on fully licensed data.

The AI startup is developing a new suite of products for professional musicians but didn’t give more details on its features. Ethan Kaplan, former chief digital officer at Universal Audio and Fender, is joining the company to lead Stability’s professional music offering.

A number of AI companies are trying to bolster their credentials by hiring music execs. Earlier this year, Suno hired former Merlin CEO Jeremy Sirota as chief commercial officer. ElevenLabs has also hired Derek Cournoyer from indie music publisher Kobalt as a strategy lead for its music business.

Read on techcrunch.com →

Allen AI releases OlmoEarth v1.1, a smaller and more efficient family of open Earth observation models.

HUGGING FACE BLOG · 23H AGO · 3 MIN

OlmoEarth v1.1: A more efficient family of Earth observation models

We released OlmoEarth (v1) in November 2025. Since then, partners have applied it across a wide range of tasks, from tracking mangrove change to classifying drivers of forest loss to producing country-scale crop-type maps in days, scaling deployments to national, continental, and global areas. Every release moves us closer to our mission: bringing state-of-the-art AI to organizations and communities working to protect people and our planet.

When OlmoEarth processes satellite imagery to make predictions across tens to hundreds of thousands of square kilometers, efficiency shapes what’s possible. Over the full lifecycle of running OlmoEarth – data export, preprocessing, inference, and post-processing – compute is by far the highest cost. A more efficient model means we can support more partners on the OlmoEarth Platform, and that anyone running OlmoEarth on their own can leverage this technology faster and at lower expense.

That’s why we built OlmoEarth v1.1: a new family of models that cuts compute costs by up to 3x while maintaining OlmoEarth v1's performance on a mix of research benchmarks and tasks we’ve constructed with partners.

Increasing efficiency by decreasing sequence lengths

The OlmoEarth models are transformer-based models, one of the dominant architectures in machine learning today. To process remote sensing data, we first convert it into a sequence of tokens the model can ingest.

Two important levers control efficiency in transformer-based models: model size (this is why we release a family of models, so users can pick the size that fits their compute budget) and token sequence length. Compute costs scale quadratically with the token sequence length, so even small reductions can meaningfully cut the cost of running the model.

MACs, or multiply-accumulate operations, estimate the computation needed for one model forward pass; lower MACs generally mean cheaper, faster inference. The y-axis is inverted because lower average rank is better. Labels show model family and size. All plotted points use the pasted MAC/rank values.

Designing the token

This raises an important question for transformer-based remote sensing models: what should a token represent?

Take Sentinel-2 imagery, a common modality we process. A Sentinel-2 input will be some tensor with a height and width (H, W representing the latitudinal and longitudinal pixels), a temporal dimension T, and 12 Sentinel-2 channels ([H, W, T, D=12]).

Currently, we split the data into resolution-based patches. Concretely, this means that we will pick some spatial patch size p, and split our overall Sentinel-2 image into patches of size p x p:

For each patch, we create a token per timestep per resolution. So a Sentinel-2 input with 2 timesteps yields 6 tokens per patch (2 timesteps x 3 resolutions, 10m, 20m, and 60m).

In total, a[H, W, T, D=12] Sentinel-2 input will yield H/p x W/p x T x 3 tokens.

Using a unique token per resolution is a common technique when processing Sentinel-2 data—Galileo and SatMAE both take this approach, and SatMAE shows significantly better results when doing it. However, it is not universal: CROMA is a model that only uses a single token for all bands, regardless of resolution. Because token counts compound multiplicatively, collapsing resolutions into a single token produces three times fewer tokens and material savings across pretraining, fine-tuning, and inference.

Naively combining the tokens in this way leads to significant performance drops, including a 10 ppt drop on m-eurosat kNN (a common benchmark task for remote sensing models). We hypothesize that separating Sentinel-2 bands into different tokens makes it easier for OlmoEarth to model important cross-band relationships.

Merging tokens without impacting performance required us to modify our pre-training regimen. We describe those changes in detail in our paper.

For developers

The result is a model family that does more with less. At every size, OlmoEarth v1.1 runs up to three times cheaper than OlmoEarth v1, making frequent, planet-scale map refreshes more affordable for every team running OlmoEarth. If you're using a model from the original OlmoEarth family, try OlmoEarth v1.1. It provides similar performance to OlmoEarth v1 while requiring one third of the compute, though we have seen some regressions (see our technical report for more details). If it works for your task, you should see a significant speedup during fine-tuning and inference.

For researchers

Pretrained remote sensing models have many degrees of freedom, which makes them hard to study. When performance shifts, is it the architecture, the dataset, or the pre-training algorithm?

We train OlmoEarth v1.1 on the same dataset as OlmoEarth v1, so any differences between the two isolate the effect of methodological changes. We hope this advances understanding of scientific principles when pretraining models for remote sensing.

Get started

Check out the OlmoEarth v1.1 weights and training code, including the weights for our Base, Tiny, and Nano models.

Read on huggingface.co →

Google Beam opens up to group video meetings with light-field projection, no headset required.

GOOGLE AI BLOG · 1H AGO · 1 MIN

A new experiment brings better group meetings to Google Beam

While video conferencing tools keep us connected, users can still struggle to feel included in the conversation. Trying to read subtle emotions in a sea of tiny boxes may leave remote participants feeling like observers rather than engaged participants. Google Beam, our true-to-life video communication platform, helps you solve this problem by turning your meetings into a more active exchange.

Today, we’re sharing a new experiment that brings better group meetings to Google Beam across more devices. Using HP Dimension’s immersive display, Google Beam renders participants joining from non-Beam devices in their true size, positioned as if they were sitting around a table with you. Paired with spatial audio that anchors each voice directly to the person speaking, colleagues look, sound, and feel more like they are in the same room.

This optimization happens automatically, whether you join a meeting from home or the office. Our research suggests approaches like these help close the hybrid 'inclusion gap' by facilitating a 50% stronger sense of social connection and a 21% increase in reported ability to contribute to conversations.

We’re also continuing to work with Google Workspace and Zoom to help elevate the meetings you have today on Google Beam.

Stay tuned for more at beam.google.

Elevating standard group meetings on Google Beam via Zoom.

An experimental look at remote participants in true-to-life proportions on Google Beam.

An experimental view of a hybrid meeting on Google Beam.

Read on blog.google →

Demis Hassabis tells press he sees 'foothills of the singularity' as Gemini hits new reasoning marks.

THE VERGE AI · 20H AGO · 1 MIN

Welcome to a “profound moment for humanity,” according to Google DeepMind CEO Demis Hassabis, who closed out Google I/O’s keynote presentation on Tuesday, saying:

Demis Hassabis said this might be the ‘foothills of the singularity.’ What?

After a couple of hours of apps and itineraries, Google’s big AI presentation turned philosophical.

After a couple of hours of apps and itineraries, Google’s big AI presentation turned philosophical.

Google’s cutting-edge research and products will help unlock AGI’s incredible potential for the benefit of the entire world. When we look back at this time, I think we will realize that we were standing in the foothills of the singularity.

It will be a profound moment for humanity. This technology will be a force multiplier for human ingenuity and usher in a new golden age of scientific discovery and progress, improving the lives of everyone, everywhere. We look forward to building the future with all of you. Thank you, and enjoy the rest of Google I/O.

Just before announcing we’ve possibly arrived at “the foothills of the singularity,” Hassabis introduced Gemini for Science, a set of tools and experiments in Google Labs and Google Antigravity intended for helping with scientific research. According to Hassabis, with tools like these, Google hopes to “reimagine drug discovery with the goal of one day solving all disease.” Tech executives often discuss AI this way, like Microsoft CEO Satya Nadella referring to AI as “cognitive amplifier tools” and Luma AI CEO Amit Jain’s claim last year that AI is the key to saving Hollywood.

In an interview with Bloomberg just a few months ago, Hassabis said that “the singularity is another word for a full AGI arriving,” which is not the same definition we’re used to from the likes of Vernor Vinge and Ray Kurzweil.

At the time, even by his measurement, he claimed that “we’re nowhere near that.” When asked about his timeline for achieving AGI, Hassabis said he was standing by his prediction that we have a “50 percent chance of getting there by 2030.”

Read on theverge.com →

Two AI science assistants succeed at drug-retargeting tasks in independent trials, hinting at real lab utility.

ARS TECHNICA AI · 23H AGO · 1 MIN
ARS TECHNICA AI

Both tools generate hypotheses; one goes on to analyze some of the data.

Read on arstechnica.com →

NEW OpenAI barrels toward an IPO that could hit public markets as early as September, per sources close to the filing.

TECHCRUNCH AI · 56M AGO · 1 MIN

A day after Elon Musk lost his lawsuit that threatened OpenAI’s structure, leadership, and finances, the AI giant is ready to move forward with its initial public offering, sources told the Wall Street Journal.

OpenAI chief executive Sam Altman reportedly hopes that his company will be ready to go public by September. The ChatGPT maker has been working with tech IPO powerhouse bankers Goldman Sachs and Morgan Stanley, and may file IPO paperwork confidentially with regulators within days or weeks, per the WSJ.

The news of OpenAI’s potential IPO, which by all accounts should be a blockbuster, comes as the world awaits the public disclosure of SpaceX’s IPO filings, which are expected to appear as soon as Wednesday, according to reports. Rocket-maker SpaceX is, of course, now one of OpenAI’s major competitors, after it consumed Elon Musk’s model maker, xAI.

Now that Musk failed to skewer OpenAI, the competitor he co-founded, through the heart with a lawsuit, it looks like the next Musk vs. Altman battle will take place in the world of finance. Which one will be the bigger IPO?

OpenAI did not immediately respond to a request for comment.

Read on techcrunch.com →

Musk v Altman trial wraps — court evidence shows Musk's own early OpenAI plans mirrored the structure he later sued over.

TECHCRUNCH AI · 22H AGO · 4 MIN

The jury’s speedy decision to reject Elon Musk’s lawsuit against the other founders of OpenAI and Microsoft confirmed what we saw in the courtroom: Musk’s case was a weak one, in part because he waited so long to file it.

Watching the closing arguments last week, OpenAI’s attorneys detailed point by point how the law was on their client’s side, while the plaintiff’s team focused on Sam Altman’s apparent lack of credibility and expressed disbelief that anyone would disagree with Musk’s accusations.

The final effect was that, after the verdict, some found it hard to believe Musk had lost — including the man himself. In a post he later deleted, Musk called Judge Yvonne Gonzalez Rogers a “terrible activist Oakland judge,” then announced his plans to appeal, declaring, “There is no question to anyone following the case in detail that Altman & Brockman did in fact enrich themselves by stealing a charity.”

But Altman and Brockman weren’t the only figures who benefited from OpenAI’s non-profit investments. As much as Musk and his legal team tried to make the trial about Altman, the proceedings revealed just as much about Musk.

One incident that came out in court showed Musk benefiting from OpenAI in an uncomfortably familiar way. Greg Brockman testified that in 2017, Musk asked him to bring a team of OpenAI researchers down to Tesla’s headquarters to help with the autopilot team for a few weeks. “It was pretty clear that was not something we could say no to,” Brockman said.

Brockman described taking a team of leading scientists, including Andrej Karpathy, Ilya Sutskever, and Scott Gray, to consult with the “demoralized” Tesla workers. They helped come up with ideas to improve the vehicle’s self-driving technology, with Sutskever telling the team that if they could find 10,000 images of a tricky corner case, they would be able to fix their software. Musk even asked Brockman to recommend employees to fire, which he declined to do.

Another person familiar with the episode confirmed Brockman’s account and said Tesla did not reimburse OpenAI for the time and effort of its employees. Musk’s family office, Excession, didn’t reply to a request for comment.

The heart of Musk’s case is that Altman, Brockman, and OpenAI committed a “breach of charitable trust” — that Musk donated funds for a specific charitable purpose, and his co-founders instead used them for something else. He also accused them of “unjust enrichment” due to stock and other benefits from OpenAI’s for-profit.

In the case of the OpenAI scientists parachuting into Tesla, Musk’s charitable donations were intended to hire scientists focused on securing the benefits of AGI. Instead, he had them work for free at his for-profit company.

Dorothy Lund, a Columbia Law School professor and the co-host of the Beyond Unprecedented podcast, told TechCrunch that this arrangement wouldn’t be legal, calling it “a bit rich for Musk to be suing for breach of a charitable trust, when he appears to have been redirecting assets in a way that was inconsistent with that mission.”

It’s true that the self-driving work involved artificial intelligence, but witnesses for Musk emphasized that Tesla’s self-driving project was very different from OpenAI’s research agenda. That’s in part because Karpathy left OpenAI for Tesla shortly after this incident. OpenAI’s attorneys portrayed the departure as Musk violating his duty to the lab, where he was co-chair of the board, by recruiting one of its key researchers to his own company.

The other fact that no doubt influenced the jury was the amount of time Musk spent trying to gain sole control of a potential OpenAI for-profit affiliate in 2017. Musk deployed good cop, bad cop tactics in an attempt to convince his co-founders to let him have total control of OpenAI’s for-profit affiliate — giving them free Teslas and threatening to withhold his donations.

His efforts put his attorneys in a tricky spot, facing a need to convince the jury there was a significant difference between what Musk envisioned and the for-profit that was ultimately created. They suggested a “small adjunct” for-profit would be permissible, though OpenAI’s witnesses showed non-profits with large commercial arms are common.

Indeed, there’s a very plausible counter-factual where Musk took one of the offers his co-founders made to split their equity more evenly, and finds himself today as one of OpenAI’s largest shareholders — just not the controlling one. But several times during the trial, Musk’s associates testified that he refuses to invest in any business he could have sole control over.

The failure of Musk’s claims because he filed them too late has been cited as a technicality, but the statute of limitations has substance behind it: People and businesses make important decisions and spend resources based on their understanding that what they are doing is permissible. If someone like Musk waits too long to sue, then the cost of unraveling all those decisions can outweigh a just reimbursement.

No members of the jury have spoken about how they arrived at their verdict. However, they were asked to consider if, before August 5, 2021, Musk should have known that OpenAI was spending resources outside its mission or launching a for-profit affiliate. The answer to that is clear: Musk himself was doing those things.

Read on techcrunch.com →

Meta employees scramble to burn through benefits as a fresh layoff wave is widely expected to land this week.

WIRED AI · 23H AGO · 2 MIN

Ahead of Meta’s latest round of mass layoffs tomorrow, some employees are deserting offices, abandoning their work, and loading up on perks they might soon lose, several people at the company tell WIRED.

Two employees describe a widespread rush to use up an annual $2,000 flexible benefit, which can cover a variety of expenses including health and wellness activities. A separate triennial credit of $200 toward the purchase of audio gear has led to a scramble to purchase Apple AirPods and other headphones. Another source says Meta offices have been largely empty this week, as people prioritize polishing their résumés and gather offsite to commiserate with friends for what may be their final time as colleagues. Employees are variously “paralyzed,” “coasting,” and “panicked,” sources say.

Meta plans to lay off about 10 percent of its nearly 80,000 employees on Wednesday, with notices going out to affected workers’ personal and corporate email addresses at 4 am Singapore, London, or San Francisco time depending on their location, according to a company-wide memo sent on Monday. The cuts are coming at a time when the social media giant behind Instagram, WhatsApp, and Facebook is enjoying record-high profits.

But CEO Mark Zuckerberg insists that the company must free up cash to invest in AI data centers, and that Meta can perform just as well with fewer employees because of AI technologies that augment human labor.

Meta didn’t immediately respond to a request for comment for this story. The company has undergone three previous large rounds of layoffs since 2022, including as part of Meta’s one-time “year of efficiency” drive in 2023. But even though the latest round is smaller than a couple of those, it is drawing widespread scrutiny because it comes at a time of societal anxiety about AI’s impact on jobs.

Inside Meta, the imminent cuts are among several concerns that have sunk morale to unprecedented depths, according to 16 current and former employees who recently spoke to WIRED. Employees also have been frustrated by being “drafted” onto a new AI team without any choice and the rollout of surveillance software that tracks US workers’ laptop use to train AI models.

Meta also plans to internally restructure as it conducts sweeping layoffs, transferring 7,000 remaining staff to “AI initiatives” and converting more managers into individual contributors. That would bring the total number of those affected—either laid off or placed in a new role—to 20 percent of the current workforce, Reuters reported on Monday. WIRED independently confirmed this reporting. Some parts of the company have been told they won’t be affected at all.

But in recent days, employees who are bracing for changes have shared checklists internally about benefits to take advantage of, and are saving documents such as performance reviews and pay stubs, according to one worker. Some teams are meeting up at bars and restaurants near Meta offices in New York and Menlo Park on Tuesday and Wednesday to eat and drink away their sorrows, several employees said. Management has encouraged employees not to come into offices on Wednesday.

Update, May 19, 11:40 PM EDT: WIRED corrected the time zones when layoff notices will be emailed.

Read on wired.com →

OpenAI launches Education for Countries in Singapore, its first government-tier partnership in Asia-Pacific.

OPENAI BLOG · 21H AGO · 3 MIN

Introducing OpenAI for Singapore

Today at the ATx Summit in Singapore, we’re launching OpenAI for Singapore, a partnership with the Ministry of Digital Development and Information (MDDI) to support Singapore’s National AI strategy.

Singapore is a global leader in AI and has made it central to its plans for economic growth, public services, and how people learn, work, and build. It recognised early that AI is becoming core infrastructure for economies and societies, with the potential to drive greater productivity, creativity, scientific progress, and economic opportunity.

As intelligence becomes more like a utility, OpenAI for Singapore is designed to support Singapore’s ambition to become an AI-powered economy. Backed by a commitment of more than S$300 million, the initiative will focus on three key areas:

- Helping organisations in Singapore deploy frontier AI and solve some of their hardest problems

- Developing the next generation of AI talent locally

- Helping more people and businesses across Singapore benefit from AI

“We’re excited to partner with Singapore as it builds on its position as a global leader in AI. Singapore has strong technical talent, trusted institutions, and a clear ambition to use AI to drive long-term growth and improve people’s lives. Through OpenAI for Singapore, we want to help more organisations benefit from frontier AI, support the next generation of local AI talent, and widen access to these tools across the country.”

At the centre of the partnership is the establishment of our Applied AI Lab in Singapore, OpenAI’s first outside the United States. What this means in practice is that OpenAI will create more than 200 Singapore-based technical roles over the next few years and make Singapore one of its global hubs for Forward-Deployed Engineers.

Forward-Deployed Engineers sit at the point where frontier research meets real-world deployment. They work directly with companies on some of their hardest problems and unlock new sources of value.

Through the partnership, the Lab will support work aligned with Singapore’s AI Mission priorities, particularly in areas such as public service, finance, healthcare and digital infrastructure. As this work grows and our Singapore-based team expands, we also expect to increase our office footprint in the country over time.

“With AI reshaping economies, businesses and the workforce, Singapore's response has been deliberate: growing new sectors, anchoring global frontier companies here, and equipping our people with the skills to thrive in this new environment. This partnership with OpenAI reflects the Government’s commitment to developing Singapore's AI capabilities, strengthening enterprise adoption of AI, and securing good jobs for Singaporeans.”

“We are delighted by OpenAI’s decision to expand its applied AI engineering capabilities in Singapore through the launch of OpenAI for Singapore. This investment presents exciting opportunities for Singaporeans and underscores Singapore’s growing role as a trusted global hub for AI innovation and development in the region. We look forward to partnering with OpenAI to support AI adoption across Singapore’s economy through these capabilities.”

Through OpenAI for Singapore, we will work with government and local ecosystem partners to build the skills Singapore will need for a future shaped by AI. This includes:

- Working with the Ministry of Education and GovTech on AI-enabled learning use cases and tools, including more interactive support for Mother Tongue language learning

- Supporting educators through a Singapore chapter of the OpenAI Academy and Codex for Teachers hackathons

- Launching a Forward-Deployed Engineer training programme to help develop local AI deployment talent

- Participating in the National AI Impact Programme to deepen AI capabilities across the technology workforce, including through the use of Codex

Taken together, these efforts are intended to help build the skills Singapore will need for the next phase of AI adoption.

AI’s benefits should reach every layer of the economy, not only the biggest enterprises or the people building the technology.

Through OpenAI for Singapore, we will work with local partners to help more people and businesses across the economy benefit from AI. This includes exploring accelerator programmes for AI-native startups and collaborating on workshops for micro-entrepreneurs and small businesses.

These efforts will focus on practical adoption, helping founders build with AI and SMEs improve operations and customer service.

OpenAI for Singapore is about people as much as technology. By investing in frontier deployment, next-generation AI talent, and access across the economy, we want to be a long-term partner as Singapore builds toward an AI-ready economy in ways that are useful, responsible, and broadly beneficial.

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Figma adds an AI assistant to its collaborative canvas, letting designers spawn variants and components conversationally.

TECHCRUNCH AI · 5H AGO · 1 MIN

Over the last few months, Figma has struck partnerships with OpenAI and Anthropic to bake in support for AI CLI tools like Claude Code and Codex to allow users to use these coding environments alongside its design software. The company is now baking in its own take on AI smarts via a new AI agent that operates within its collaborative canvas.

Figma says users can employ natural language text prompts to direct its new AI agent to generate new designs, edit existing ones, or automate tasks such as generating iterations of existing designs. Users can even fire up multiple agents that can do various tasks simultaneously.

The company claims the AI assistant understands design contexts and elements since it runs on AI models that are fine-tuned for design use.

“As building software gets easier, what matters most is setting direction: deciding what to work on, how it should function, what the experience should feel like. Teams can now collaborate with agents on the multiplayer canvas to test out ideas, visualize edge cases, and refine concepts together without over-indexing on the more tedious parts,” Figma’s chief design officer, Loredana Crisan, said in a statement.

The agent is first launching in Figma Design, and the company plans to eventually make it available in its other products. Figma said that, over time, it wants to bring design and code even closer together within its apps.

Facing intense competition from the likes of Canva, Adobe, Flora, Krea and Dessn, last year Figma acquired node-based design tool Weavy, and has added new image editing features to its products.

The company has done well despite fears of AI eating into the work of designers and the demand for software they use: In the first quarter of 2026, Figma reported revenue of $333.4 million, 46% more than a year earlier.

Read on techcrunch.com →

Google's new agentic Search lets users hand off multi-step research tasks — comparing flights, summarizing reviews — and walk away.

TECHCRUNCH AI · 21H AGO · 2 MIN

At the Google I/O 2026 keynote, the tech giant revealed new agentic capabilities in Search, where users can create, customize, and manage multiple AI agents to stay updated on topics of interest. The announcement is part of Google’s larger push toward agentic AI systems that can take initiative and assist with ongoing tasks instead of answering one question at a time.

Unlike traditional search tools that respond only when prompted, Google’s information agents are designed to operate continuously in the background, 24/7, helping users stay informed about their interests without needing to repeatedly search for the same information every day.

Instead of delivering a list of links, the agents can synthesize information from multiple sources, explain why something matters, compare perspectives, and provide actionable insights. In many ways, the agents represent the next evolution of Google Alerts, the notification service Google launched in 2003. However, these agents are designed to go beyond simple notifications.

For instance, someone following the stock market could create an information agent focused on specific companies, share price, or economic trends. The agent could monitor market activity throughout the day, track breaking news, summarize earnings reports, alert users when major changes happen, and provide summaries and links to learn more.

It could also help with everyday tasks, such as tracking flight prices for upcoming trips, monitoring sports teams and live events, following breaking news, keeping tabs on housing or job market trends, and tracking weather or traffic.

To use the feature, users can open AI Mode in Search and enter a prompt.

For example: “Keep me updated on nearby movie tickets for ‘The Mandalorian and Grogu.’” When something relevant appears, the Google app sends a push notification. You’ll also see your active tracked topics in your AI Mode history, where you can jump back in to manage, refine, or turn off an alert.

Information agents will be available this summer. The company is first rolling them out to Google AI Pro and Ultra subscribers in the U.S., then to additional markets later on.

In addition to these information agents, Google also introduced a major redesign of Search, including what it describes as a reimagined “intelligent search box,” the company’s biggest change to Search in more than 25 years. The new interface is designed to support longer, more conversational queries. There’s also a new AI-powered query suggestion system that goes beyond traditional autocomplete, helping users craft nuanced and context-aware searches.

Catch up on the rest of Google IO 2026’s big news

Google Search as you know it is over

Google updates Gemini app to take on ChatGPT and Claude

Google introduces Gemini Spark, a 24/7 agent assistant with Gmail integration

Read on techcrunch.com →

Google's SynthID watermarking is being adopted by OpenAI, Nvidia, and others as the de facto standard for AI-generated images.

ARS TECHNICA AI · 23H AGO · 1 MIN
ARS TECHNICA AI

AI content is getting good, but SynthID might be able to help tell truth from fiction.

Read on arstechnica.com →