Anthropic will spend $11.6 billion over seven years on Akamai’s cloud infrastructure, Akamai said Thursday. That’s more than six times the size of a $1.8 billion deal between the two companies that Bloomberg reported in May. The commitment isn’t ironclad; according to Akamai’s securities filing, it depends on Akamai meeting certain delivery and service-availability requirements, and either company can end the agreement under certain conditions.

The deal is the largest in Akamai’s history and continues Anthropic’s compute gobbling-streak. It also represents a bet on a less-hyped corner of AI infrastructure: CPUs. Demand for CPUs, the general-purpose chips that handle work like running code and browsing the web, has grown as AI agents take on more tasks, though Akamai didn’t say what Anthropic will use them for. 

Akamai won’t see revenue from the deal this year. On an investor call Thursday, executives said they expect $150 million to $300 million in 2027, starting in the second half, with revenue reaching an annual pace of about $1.7 billion by the end of 2028. 

To build out the capacity, Akamai expects to spend about $5.5 billion. It is also adding about $1.7 billion to this year’s capital spending to buy components such as memory in advance. 

As part of the deal, Akamai issued Anthropic a warrant, essentially the right to buy shares at a set price, for nonvoting preferred stock convertible into 7.7 million common shares, or up to about 5% of the company’s outstanding stock, at $111.33 a share. About 2% is expected to vest, or become available to Anthropic once it makes its first payment under the deal. The rest is tied to Anthropic spending more. Each additional $3 billion it commits to Akamai’s cloud services unlocks roughly another 1%, so the deal could grow by as much as $9 billion, to about $20 billion in total.

It’s the first time Akamai has attached a warrant to a cloud deal, and the contract is the largest in company history, Bloomberg reported.

The warrant flips the more common pattern in circular AI deals, in which suppliers — chipmakers and cloud providers — invest directly in the AI labs that buy their products. Here, the supplier is instead giving its customer a potential stake, one that grows as Anthropic’s spending with Akamai does. AMD used a similar structure with OpenAI last year, tying warrants to chip-purchase milestones. 

Anthropic is no stranger to such arrangements. Amazon, Google, Microsoft, and AMD have all invested or agreed to invest in the company while selling it chips or cloud capacity. CEO Dario Amodei told The New York Times last December that Anthropic does not participate in these deals at the “same scale as some other players.”

Akamai shares rose as much as 17% in after-hours trading on Thursday, The Wall Street Journal reported.

Dr Maria Alhajji discusses her energy storage research and the Sophia Project, a physics outreach initiative at UL that engages school students.

Researchers and scientists can draw their inspirations and motivations from many sources. For Dr Maria Alhajji of University of Limerick (UL), the connection between theory and reality is fascinating.

“I am inspired by the moment when someone connects a scientific concept with something they have already observed in everyday life,” she tells SiliconRepublic.com.

As an assistant professor in the physics department of the Faculty of Science and Engineering at UL, she sees her field as “a way of understanding the world – from why the sky appears blue to how electricity, communications, medical technologies and renewable-energy systems work”.

Her role combines teaching, research, undergraduate and postgraduate student supervision and academic service, and contributing to departmental education and outreach initiatives.

“I am particularly passionate about helping students and young people see that physics is not simply a collection of equations,” she says.

“Whether I am teaching first-year students or investigating materials for energy-storage systems, I want people to recognise physics as an active and evolving discipline that shapes our everyday lives.”

Alhajji holds a BSc from Saudi Arabia’s King Faisal University, as well as an MSc and PhD from UL, where she previously worked as a postdoctoral researcher and research fellow.

With an academic background in electrochemistry and energy-storage materials, she now teaches across areas including mechanics, electromagnetism, semiconductor devices, electronics, modern physics and materials analysis.

“I was drawn to electrochemical energy storage because it brings together physics, chemistry, materials science and engineering,” she explains.

“It allows us to study processes occurring at atomic and microscopic scales while addressing one of society’s most urgent challenges: the transition to secure, reliable and sustainable energy.”

Energy solutions for the future

For Alhajji, modern society’s embrace of renewable energy can’t be limited simply to generating electricity from wind or solar; that power also needs to be stored effectively and viably so that it “remains available when the wind is not blowing, the sun is not shining or demand on the grid is particularly high”.

Her scientific research focuses on understanding how the properties of an electrode influence the reactions taking place at its surface and how these learnings can be applied to battery design for use in grid-scale energy storage.

Redox-flow batteries are an energy solution that, according to Alhajji, can be designed for long-duration operation, scaled to suit large installations and maintained differently from conventional sealed batteries.

These qualities, among others, make them ideal for stationary applications that demand consistent and reliable power, according to US industry body Battery Council International, which notes that their unique design – by separating energy storage from power generation – provides flexibility and durability.

Alhajji notes that that while wider deployment of such batteries depends on improving their performance, durability and cost, the principles underpinning them can be applied when considering other electrochemical technologies.

“My broader aim is to establish a clear relationship between a material’s structure, surface chemistry and electrochemical function,” she says.

“I find interfaces particularly fascinating. The performance of an entire battery can depend on reactions taking place across an extremely thin boundary between an electrode and an electrolyte. Small changes at that interface can have a measurable effect on the efficiency and lifetime of the full system.”

The connection between fundamental understanding and technological, real-world impact is a continuous source of motivation for her.

“This understanding can guide the rational design of energy-storage materials that support faster, more reversible reactions while remaining efficient and stable over long-term use.

“I am interested not only in how well an energy-storage system performs, but also in the fundamental physical and chemical processes responsible for that performance.”

She cites iron-based energy storage systems as a promising avenue worth exploring due to that metal being “widely available and potentially more economical than many materials used in current battery technologies”, which could lead to progress in developing energy-storage systems that are efficient, durable, scalable and based on more sustainable materials.

Young scientists

Alhajji’s passion for her field is represented not only in her researching and testing of energy production and storage solutions, but in her attitude to teaching and trying to inspire future generations.

Over the summer, she coordinated UL’s annual Sophia Project physics competition, run by her department and involving more than 70 primary-school children from Cork and Limerick.

“Sophia is a physics outreach initiative at UL that engages schools through interactive workshops, demonstrations and a schools’ physics competition,” she explains. “I have been involved in developing and delivering the workshops and in leading the competition element of the programme.

“The workshops use accessible, hands-on experiments connected to familiar experiences. Pupils might explore static electricity, air pressure or siphoning, or discuss questions such as why the sky is blue.

“Rather than simply showing an experiment and providing the answer, we encourage pupils to predict what will happen, observe the result and develop their own explanation.”

She says that the broader goal of the initiative is to build young people’s confidence and curiosity in science while developing their creativity, teamwork and problem-solving skills, and that schools and teachers have praised its ability to create and maintain interest among participating children.

She acknowledges, too, that teachers themselves can have significant influence in these types of initiatives.

“By supporting teachers and developing engaging activities that can be used in the classroom, we can reach many more young people and build a lasting culture of curiosity, creativity and problem-solving.”

Stay curious

For those starting out on a scientific career journey, Alhajji offers some words of wisdom.

“A career in science is not about always knowing the correct answer. It is about learning how to investigate a question carefully, evaluate evidence and continue when an experiment does not behave as expected. Unexpected results are often where the most interesting research begins.

“Stay curious and never be afraid to ask what appears to be a simple question. Many important scientific discoveries begin with someone questioning something that others have taken for granted.”

She acknowledges the need for a strong foundation in the likes of physics and maths, but notes that softer skills – such as communication, teamwork and practical problem-solving – should not be overlooked.

“Modern scientific research is highly collaborative and often brings together people from several different disciplines,” Alhajji notes.

And she stresses, also, the importance of keeping an open mind – advice which perhaps might be heeded regardless of one’s age, academic status or specific career journey.

“You do not need to have your entire career planned from the beginning. Curiosity is often the best place to start.”

Don’t miss out on the knowledge you need to succeed. Sign up for the Daily Brief, Silicon Republic’s digest of need-to-know sci-tech news.

Meta has spent years trying to convince consumers that putting cameras on their faces is perfectly normal. With the new Ray-Ban Meta Audio, it is trying something refreshingly different: removing the camera entirely, which also means the person sitting across from you no longer has to wonder whether they are being recorded.

For a lot of people, that alone may be the feature that finally makes smart glasses feel less creepy.

Announced at Meta Connect 2026, Ray-Ban Meta Audio combines open-ear speakers, six microphones, Meta AI and conventional prescription-compatible eyewear in a 43-gram frame. Prices start at $349, preorders are open now, and shipments begin October 13, 2026.

That makes them Meta’s first audio-only glasses, although not the first product to try the concept. The more interesting question is whether Ray-Ban styling, Meta’s AI ecosystem and substantially longer battery life can make audio glasses relevant again after Bose, Amazon and smaller competitors spent years poking at the category.

Related Reading:

No Camera Is The Feature

Ray-Ban Meta Audio uses two open-ear speakers positioned in the temples and a six-microphone array for calls and voice commands. Meta claims the microphone system can capture the wearer’s voice more clearly than earbuds, while the open design keeps the ear canal unobstructed for greater situational awareness.

Removing the camera does more than avoid having strangers wonder whether dinner is being livestreamed to Instagram. It allows Meta and Ray-Ban to make the frames lighter and extend battery life to up to 12 hours, compared with nine hours for the camera-equipped Ray-Ban Meta Gen 3. The included charging case adds up to another 48 hours, according to Meta.

There is a tradeoff. Without a camera, Ray-Ban Meta Audio cannot use Meta’s multimodal AI features that analyze what the wearer is looking at, and Live AI visual interaction is unavailable. Voice-based Meta AI, text translation, live translation, music, podcasts, messaging and calls remain available.

That may be enough for a lot of people.

Meta also unveiled its much more ambitious Meta VR Glasses at Connect, but the two products share little beyond being worn on your face.

Meta VR Glasses weigh about 100 grams, use dual micro-OLED displays with 2412 x 2288 pixels per eye, support Dolby Vision and Dolby Atmos, and rely on eye tracking and hand gestures for navigation. A tethered compute puck contains the Snapdragon Reality Elite processor, storage and battery, with up to three hours of high-resolution media playback. They arrive in spring 2027 for $1,299.99.

Those are portable VR computers designed for movies, gaming, spatial workspaces and immersive sports. Ray-Ban Meta Audio is essentially an open-ear audio wearable and AI interface disguised as normal glasses.

One replaces much of what a VR headset does. The other wants you to leave your earbuds at home.

Ray-Ban’s advantage is the eyewear side of the equation. The Meta Audio lineup launches with Clubmaster and Burbank frames in 23 lens and color combinations, including clear, tinted, polarized and Transitions options, with support for a wide range of prescriptions.

People might actually want to wear them, which is apparently still an important feature for glasses.

• Type: Audio-only AI smart glasses
• Weight: 43 g
• Audio: Dual open-ear speakers
• Microphones: 6-mic array
• Battery Life: Up to 12 hours
• Charging Case: Up to 48 additional hours
• Wireless: Bluetooth 5.3, Wi-Fi 6
• Water Resistance: IPX4
• Frames: Clubmaster, Burbank
• Lens Options: Clear, tinted, polarized, Transitions and prescription
• AI: Meta AI with voice interaction and translation
• Camera: None

The Bottom Line

Ray-Ban Meta Audio may prove more interesting than Meta’s camera-equipped glasses precisely because it does less. There is no camera, no display and no attempt to turn every walk to the deli into a mixed-reality demonstration.

What remains is open-ear audio, calls, AI assistance and translation built into glasses that weigh 43 grams and can potentially last through an entire day. For listeners who like the awareness of open-ear earbuds but already wear glasses, that combination makes considerably more sense than adding another device around their ears.

The only irony is that Meta may have made its most socially acceptable smart glasses by making them slightly less smart.

Where to buy:

Related Reading:

Since the Oculus Quest 2, the VR industry has been chasing a high point that seems impossible to re-summit — let alone surpass. I mean, how can you compete with popularity propelled by global pandemic-caused lockdowns and ultra-low costs when people are no longer trapped in their homes and facing down RAM-crisis-fuelled tech price hikes?

You can’t. But the Meta VR Glasses give me hope that’ll change, that VR is on an upward swing again.

Try this before sending it in for repair or upgrading.

Samsung checks a surprisingly large chunk of your phone

Screenshot by Husain Parvez

A healthy Galaxy can still feel slow

Samsung

If you moved to Android, your Apple Watch can come with you.

How well does Merge Watch work?

Adnan Ahmed for Engadget

Using an Apple Watch with Android

Adnan Ahmed for Engadget

from the missing-the-real-national-security-risk dept

Pete Hegseth and Trump got a dubious win today: a 2-1 panel of the DC Circuit found that the designation of Anthropic as a supply chain risk was not unlawful. It dismissed Anthropic’s challenge despite (1) a different court having found the exact opposite not that long ago; (2) being predicated on a statutory interpretation of “supply chain risk” that would effectively deem most AI models, and potentially all software, a supply chain risk; (3) having made this designation selectively and punitively; and (4) it resulting in Anthropic being disqualified from selling its model to any government agency, including those without same concern the DC Circuit credited the military with having.

To some extent the difference in the two decisions can be explained by the two different statutes at issue. Hegseth claimed the authority to make “supply chain risk” designations under two separate ones, 10 U.S.C. § 3252, which was at issue in the California challenge, and 41 U.S.C. § 4713, which was at issue in this case. Congress is also partly to blame for this mess, because in writing the statutory definition for “supply chain risk” in the 4713 statute it created more space for dubious interpretations like this one (“Whatever paradigmatic examples individual members of Congress may have had in mind, the statutory definition is not limited to “adversar[ies],” 10 U.S.C. § 3252(d)(4), and instead covers “any person,” which cannot refer only to foreign entities, 41 U.S.C. § 4713(k)(6).”).  The statute also constrained how such designations could be challenged, sending them all directly to the DC Circuit, rather than a district court, which is why Anthropic’s challenge of the Hegseth action ended up in two separate cases.

But a bizarre situation has still resulted where one court has said that Anthropic’s First Amendment and due process rights had been violated, and another has now said they weren’t, even though the same action was involved with both. Anthropic argued that the California district court’s earlier decision should have been controlling, but the DC Circuit disagreed:

Anthropic contends that the Northern District’s decision is preclusive as well as persuasive. But because the Department’s designation authority is much broader under section 4713 than it is under section 3252, the issues flagged by Anthropic are not the same in both cases. So, for example, the Northern District’s determination that the section 3252 designation was arbitrary does not control our determination whether the section 4713 designation was arbitrary. Likewise, the Northern District’s determination of exigency under section 3252 does not control our determination of exigency under section 4713. In any event, Congress gave this Court exclusive jurisdiction to review procurement actions taken pursuant to section 4713 designations, see 41 U.S.C. § 1327(b)(1), and it specifically barred other courts from reviewing any other “action taken under” section 4713, see id. § 1327(a). That strict “allocation of jurisdiction” to this Court makes it inappropriate to constrain our review based on the Northern District’s judgment. Restatement (Second) of Judgments § 28 (1982); see Shaw v. State of Cal. Dep’t of Alcoholic Beverage Control, 788 F.2d 600, 607–09 (9th Cir. 1986); Lyons v. Westinghouse Elec. Corp., 222 F.2d 184, 188–89 (2d Cir. 1955) (L. Hand, J.).

Instead, because the DC Circuit read the statutory authority Hegseth drew from differently, apparently given its textual differences, it found Hegseth entitled to take the action that he did. But it is a dubious reading that would have broad implications the court did not address. In short, because Anthropic would still have control over its model, the court found that it could be considered to have the power to “manipulate” it, even after being deployed in government, and that made it a supply chain risk.

The Secretary reasonably concluded that removing Anthropic from the Department’s supply chain was necessary to protect national security by reducing supply chain risk to the Department’s information systems. Specifically, the Secretary credited a joint recommendation from two senior Department officials that Claude might be “subject to manipulation” by Anthropic “in such a manner as to inhibit the DoW’s use thereof.” App. 178. Likewise, he credited Under Secretary Michael’s conclusion that Anthropic might “manipulat[e]” the “design, integrity, and operation” of the Department’s Claude models, potentially causing “critical defense system[s] failing to engage” as intended by the Department. Id. at 182.

The record in this case amply supports the Secretary’s conclusion. To begin, it is undisputed that Anthropic can and does control how Claude responds—or fails to respond—to user prompts. Anthropic’s Chief Science Officer explained how the company “seek[s] to embed safety considerations directly into the model itself.” App. 8. Its CEO explained how such training gives the model an “identity, character, values, and personality” of its own, tethered to a “constitution” developed to impose “high-level principles and values” on Claude itself. Id. at 93–94. And the head of its public-sector business explained: “Model training is the primary mechanism through which Anthropic can influence the behavior of models used by the Department.” Id. at 276. Anthropic disclaims any ability to access or alter a model that has already been delivered to the Department, see id., despite the “technical measures” that it uses to police compliance with usage restrictions by private customers, id. at 8. Nonetheless, extant models reflect Claude’s “[c]onstitutional” training. Id. at 274–75. Moreover, Anthropic may encode additional restrictions each time it delivers any “new version of the model” to Department contractors. Id. at 276. Finally, it is undisputed that such model restrictions are vitally important to Anthropic, which describes them as lying “at the core of [its] mission.” Id. at 2.

The record also indicates that Anthropic’s model training is effective in enforcing usage restrictions and that, as a result, Claude has refused to answer legitimate queries from government users. Anthropic itself explained how early, commercially available versions of Claude frustrated Department and intelligence-community users by refusing prompts to evaluate classified materials. App. 255. Likewise, as Under Secretary Michael explained, the Department learned in 2025 that Claude had refused to process CDC prompts to support research to prevent the spread of infectious diseases. Id. at 212. Anthropic responds that these glitches reflected safety features appropriately built into models sold to private companies and were resolved after Anthropic engineers worked with the relevant government stakeholders. Id. at 255–56, 261–62. Perhaps so, but the point here is not that these model or usage restrictions were arbitrary; instead, it is that Anthropic’s model training does effectively enforce contractual usage restrictions.

Finally, the record reveals a recent, serious dispute about the scope of the contractual prohibitions on lethal autonomous warfare and mass domestic surveillance. Under Secretary Michael describes the incident in general but striking terms: [O]ne of Anthropic’s executives questioned the propriety of the potential use of their software for a sensitive military operation abroad despite that use being permitted under the existing Terms of Service. This led to alarm by the DoW and the prime contractor who provides Anthropic software, and raised material doubts as to whether they would cause their software to stop working or cause some other disastrous action that would put our warfighters[’] lives in danger. App. 181. Anthropic does not say much about this incident, except to suggest that it reflected a misunderstanding. Id. at 236–37. But regardless, Anthropic has made clear that it views the contractual prohibition on mass domestic surveillance as urgent to support “democratic values,” id. at 146, and the contractual prohibition on lethal autonomous warfare as urgent to avoid “put[ting] America’s warfighters and civilians at risk” of a catastrophic AI mistake, id. at 147. For its part, the Department has made clear that it views an “any lawful use” authorization to be critical to its “AI-first” strategic plan. Id. at 202, 206. With such diametrically opposed positions and with contractual limitations that are hardly self-defining, the prospect for disputes is apparent.

In sum, the Department reasonably feared that Anthropic might manipulate Claude’s design to prevent it from performing national-security functions that the Department deems contractually authorized and necessary.

The nightmare hypo that the court credited was what if the military had some sensitive plans that depended on Claude’s use, which Anthropic then changed on the fly, which jeopardized the mission. But there are multiple problems with the court’s acceptance of the government’s argument here.

For one, if the court’s statutory interpretation about the power to affect the operation of delivered software were correct, then pretty much any software product, at least those still subject to vendor-supplied updates, could be considered supply chain risks, given that any update could make substantive changes. In any case, it would seem to mean that any AI model would be too risky for the government to use, because there is nothing unusual about Anthropic’s model-control architecture—to the extent Anthropic could still control its model, so could any other AI vendor potentially control theirs. Whether they would or not would depend on the contract restraining them, and the only thing potentially different about Anthropic is that it did not want to be contractually obligated to allow certain functions that Hegseth really wanted—functions that were ethically dubious at best and monstrously dangerous at worst.

But because that contractual reluctance upset Trump and Hegseth, they singled Anthropic out, alone, for negative treatment, turning their pique that “we can’t agree with Anthropic on how the software would need to be designed for us to be able to buy it” into “and because we can’t agree then NO ONE ELSE IN THE GOVERNMENT CAN EVER USE IT.” Per the DC Circuit, such an overbroad measure—after all, not every agency had the same concerns about changeability that the military might, yet Hegseth was deciding for them, too, whether they could use Claude, even when its architecture created no particular risk to them—and clearly punitive measure was perfectly fine because it implicated the implicit “national security” exception to the First Amendment the Founders apparently wrote into it in invisible ink.

To succeed on such a First Amendment retaliation claim, the plaintiff or petitioner must prove that (1) it engaged in protected speech, (2) the government took materially adverse action against it, and (3) the speech caused the materially adverse action. See Houston Cmty. Coll. Sys. v. Wilson, 595 U.S. 468, 477–79 (2022); Aref v. Lynch, 833 F.3d 242, 258 (D.C. Cir. 2016). Anthropic has satisfied the first and second prongs of this test, but not the third. The First Amendment squarely protects Anthropic’s advocacy regarding the safe and appropriate use of AI products. Moreover, the Department’s exclusion of Claude from its supply chain plainly qualifies as a materially adverse action. However, we can discern no causal connection between the two. Instead, the record makes clear that the Department removed Anthropic from its supply chain not because of its advocacy, but because Anthropic refused to agree to a contract term the Department deemed essential to national security.

Because Anthropic wouldn’t do the deal Hegseth wanted to do, he was therefore entitled to declare it too risky for anyone in the government to use, without it being seen as punishing Anthropic for its disinclination.

Anthropic points to various pungent statements in the Secretary’s February 27 social media post. Among other things, the Secretary denounced Anthropic’s “sanctimonious rhetoric,” “virtue-signaling,” and “Silicon Valley ideology.” App. 77. Such rhetoric seldom provides a sound basis for judging the lawfulness of federal executive action. See, e.g., Mullin v. Doe, 146 S. Ct. 2121, 2139 (2026); Trump v. Hawaii, 585 U.S. at 700–02. In any event, for all its flourishes, the Secretary’s social media post squarely addresses Anthropic’s refusal to provide the “all lawful uses” contractual authorization. He described Anthropic’s behavior as a “textbook case of how not to do business” with the Pentagon. App. 77 (emphasis added). He reiterated the Department’s demand for “full, unrestricted access to Anthropic’s models for every lawful purpose in defense of the Republic.” Id. (cleaned up). And he characterized Anthropic’s refusal to provide that access as imposing an unacceptable “veto power over the operational decisions of the United States military.” Id. The nub of this dispute was contractual, and the First Amendment did not require the Department to continue a contractual relationship that it viewed as creating a national-security risk.

Per the DC Circuit panel, the First Amendment takes a backseat to the President and his Secretary’s determination that a technology can ever be used by the government, no matter what.

This case raises profoundly difficult questions about the appropriate military uses of an almost unimaginably powerful new technology. The Secretary raises the deeply sobering prospect of overly constrained AI models shutting down unexpectedly and thus causing important military operations to fail. Anthropic raises the deeply sobering prospect of unconstrained AI models hallucinating inappropriate targets for lethal military force. Both possibilities present obvious national-security concerns. But in our Republic, it is the President and the Secretary of War who must determine how best to balance the competing risks. In doing so here, the Secretary did not transgress any limits on his authority under the Supply Chain Security Act or the Constitution. Accordingly, we deny the petitions for review.

Which cannot possibly be right if the Bill of Rights is to have any meaning in limiting government power, and especially not on a record like this.  Yet here we are.

Filed Under: 1st amendment, defense department, dod, donald trump, pete hegseth, supply chain risk

Companies: anthropic

Parents have spent years trying to keep their kids off social media, so some kids headed to the one place no adult would think to look for them: NPR.

On this week’s “This American Life,” host Ira Glass tells the story of the team behind NPR’s podcast “Wild Card,” who noticed a flood of baffling comments under their Spotify episodes last fall. A producer assumed the bizarre abbreviations and indecipherable emojis were bot traffic and shared screenshots in NPR’s Slack. They then reported the posts to Spotify.

But Hannah Chin, an audio producer and Gen Z colleague, took one look at the screenshots and recognized, almost immediately by Glass’s telling, that these weren’t bots. They were likely middle schoolers who were too young for social media, running a group chat in the comments of the podcast. (Perhaps someone at NPR should have grokked this sooner: it spotted kids doing the same thing on TED Radio Hour show last year.)

As for why NPR in particular, when Glass tracked down one of the kids to ask, he was given the kind of unvarnished answer that a middle schooler would give: “Um, I think we just, like, looked for podcasts that didn’t have many comments.”

“I tell you, buddy,” responded Glass, who has hosted “This American Life” for three decades, “I do a public radio show, and that hurts a little to hear.”

After announcing a host of new features for Meta’s Muse AI app at its Connect 2026 developer conference this week, the company is opening up requests for early access. Meta shared on Friday that you can now ask Muse to put you on the list to try out its latest capabilities before anyone else.

Meta posted a link to a prompt on X that, when shared with Muse, will log that you’re interested in joining Meta’s early access program.