Google May Let Sites Opt Out Of AI Search Features via @sejournal, @MattGSouthern

Google says it’s exploring updates that could let websites opt out of AI-powered search features specifically.

The blog post came the same day the UK’s Competition and Markets Authority opened a consultation on potential new requirements for Google Search, including controls for websites to manage their content in Search AI features.

Ron Eden, Principal, Product Management at Google, wrote:

“Building on this framework, and working with the web ecosystem, we’re now exploring updates to our controls to let sites specifically opt out of Search generative AI features.”

Google provided no timeline, technical specifications, or firm commitment. The post frames this as exploration, not a product roadmap.

What’s New

Google currently offers several controls for how content appears in Search, but none cleanly separate AI features from traditional results.

Google-Extended lets publishers block their content from training Gemini and Vertex AI models. But Google’s documentation states Google-Extended doesn’t impact inclusion in Google Search and isn’t a ranking signal. It controls AI training, not AI Overviews appearance.

The nosnippet and max-snippet directives do apply to AI Overviews and AI Mode. But they also affect traditional snippets in regular search results. Publishers wanting to limit AI feature exposure currently lose snippet visibility everywhere.

Google’s post acknowledges this gap exists. Eden wrote:

“Any new controls need to avoid breaking Search in a way that leads to a fragmented or confusing experience for people.”

Why This Matters

I wrote in SEJ’s SEO Trends 2026 ebook that people would have more influence on the direction of search than platforms do. Google’s post suggests that dynamic is playing out.

Publishers and regulators have spent the past year pushing back on AI Overviews. The UK’s Independent Publishers Alliance, Foxglove, and Movement for an Open Web filed a complaint with the CMA last July, asking for the ability to opt out of AI summaries without being removed from search entirely. The US Department of Justice and South African Competition Commission have proposed similar measures.

The BuzzStream study we covered earlier this month found 79% of top news publishers block at least one AI training bot, and 71% block retrieval bots that affect AI citations. Publishers are already voting with their robots.txt files.

Google’s post suggests it’s responding to pressure from the ecosystem by exploring controls it previously didn’t offer.

Looking Ahead

Google’s language is cautious. “Exploring” and “working with the web ecosystem” are not product commitments.

The CMA consultation will gather input on potential requirements. Regulatory processes move slowly, but they do produce outcomes. The EU’s Digital Markets Act investigations have already pushed Google to make changes in Europe.

For now, publishers wanting to limit AI feature exposure can use nosnippet or max-snippet directives, but note that these affect traditional snippets as well. Google’s robots meta tag documentation covers the current options.

If Google follows through on specific opt-out controls, the technical implementation will matter. Whether it’s a new robots directive, a Search Console setting, or something else will determine how practical it is for publishers to use.


Featured Image: ANDRANIK HAKOBYAN/Shutterstock

What If User Satisfaction Is The Most Important Factor In SEO? via @sejournal, @marie_haynes

Let me see if I can convince you!

I’ve shared a bunch in this video and summarized my thoughts in the article below. Also, this is the second blog post I’ve written on this topic in the last week. There is much more information on user data and how Google uses it in my previous blog post.

Ranking Has 3 Components

We learned in the DOJ vs Google trial that Google’s ranking process involves three main components:

  1. Traditional systems are used for initial ranking.
  2. AI Systems (such as RankBrain, DeepRank, and RankEmbed BERT) re-rank the top 20-30 documents.
  3. Those systems are fine-tuned by Quality Rater scores, and more importantly IMO, results from live user tests.

The DOJ vs. Google lawsuit talked extensively about how Google’s massive advantage stems from the large amounts of user data it uses. In its appeal, Google said that it does not want to comply with the judge’s mandate to hand over user data to competitors. It listed two ways it uses user data – in a system called Glue, a system which incorporates Navboost that looks at what users click on and engage with, and also in the RankEmbed model.

RankEmbed is fascinating. It embeds the user’s query into a vector space. Content that is likely to be relevant to that query will be found nearby. RankEmbed is fine-tuned by two things:

1. Ratings from the Quality Raters. They are given two sets of results – “Frozen” Google results and “Retrained” results – or, in other words, the results of the newly trained and refined AI-driven search algorithms. Their scores help Google’s systems understand whether the retrained algorithms are producing higher-quality search results.

From Douglas Oard’s testimony re: Frozen and Retrained Google

2. Real-world live experiments where a small percentage of real searchers are shown results from the old vs. retrained algorithms. Their clicks and actions help fine-tune the system.

The ultimate goal of these systems is to continually improve on producing rankings that satisfy the searcher.

More Thinking On Live Tests – Users Tell Google The Types Of Pages That Are Helpful, Not The Actual Pages

I’ve realized that Google’s live user tests aren’t just about gathering data on specific pages. They are about training the system to recognize patterns. Google isn’t necessarily tracking every single user interaction to rank that one specific URL. Instead, it is using that data to teach its AI what “helpful” looks like. The system learns to identify the types of content that satisfy user intent, then predicts whether your site fits that successful mold.

It will continue to evolve its process in predicting which content is likely to be helpful. It definitely extends far beyond simple vector search. Google is continually finding new ways to understand user intent and how to meet it.

What This Means For SEO

If you’re ranking in the top few pages of search, you have convinced the traditional ranking systems to put you in the ranking auction.

Once there, a multitude of AI systems work to predict which of the top results truly is the best for the searcher. This is even more important now that Google is starting to use “Personal Intelligence” in Gemini and AI Mode. My top search results will be tailored specifically for what Google’s systems think I will find helpful.

Once you start understanding how AI systems do search, which is primarily vector search, it can be tempting to work to reverse engineer these. If you’re optimizing by using a deep understanding of what vector search rewards (including using cosine similarity), you’re working to look good to the AI systems. I’d caution against diving in too deeply here.

Image Credit: Marie Haynes

Given that the systems are fine-tuned to continually improve upon producing results that are the most satisfying for the searcher, looking good to AI is nowhere near as important as truly being the result that is the most helpful. I would argue that optimizing for vector search can do more harm than good unless you truly do have the type of content that users go on to find more helpful than the other options they have. Otherwise, there’s a good chance you’re training the AI systems to not favor you.

Image Credit: Marie Haynes

My Advice

My advice is to optimize loosely for vector search. What I mean by this is to not obsess over keywords and cosine similarity, but instead to understand what it is your audience wants and be sure that your pages meet the specific needs they have. Is using a knowledge of Google’s Query Fan-Out helpful here? To some degree, yes, as it is helpful to know what questions users generally tend to have surrounding a query. But, I think that my same fears apply here as well. If you look really good to the AI systems trying to find content to satisfy the query fan-out, but users don’t tend to agree, or if you’re lacking other characteristics associated with helpfulness compared to competitors, you might train Google’s systems to favor you less.

Make use of headings – not for the AI systems to see, but to help your readers understand that the things they are looking for are on your page.

Look at the pages that Google is ranking for queries that should lead to your page, and truly ask yourself what it is about these pages that searchers are finding helpful. Look at how well they answer specific questions, whether they use good imagery, tables, or other graphics, and how easy it is for the page to be skimmed and navigated. Work to figure out why this page was chosen as among the most likely to be helpful in satisfying the needs of searchers.

Instead of obsessing over keywords, work to improve the actual user experience. If you make your page more engaging, focusing more on metrics like scrolls and session duration, rankings should naturally improve.

And mostly, obsess over helpfulness. It can be helpful to have an external party look at your content and share why it may or may not be helpful.

I have found that even though I have this understanding that search is built to continually learn and improve upon showing searchers pages they are likely to find helpful, I still find myself fighting the urge to optimize for machines rather than users. It is a hard habit to break! Given that Google’s deep learning systems are working tirelessly on one goal – predicting which pages are likely to be helpful to the searcher – that should be our goal as well. As Google’s documentation on helpful content suggests, the type of content that people tend to find helpful is content that is original, insightful, and provides substantial value when compared to other pages in the search results.

More Resources:


This post was originally published on Marie Haynes Consulting.


Featured Image: Chayanit/Shutterstock

Social Channel Insights In Search Console: What It Means For Social & Search via @sejournal, @rio_seo

Google has been testing Social Channel Insights inside Google Search Console (GSC). This update may appear small, but it’s more than meets the eye. In the search landscape, these new social insights translate to a bigger shift happening behind the scenes, where search and social data converge to improve visibility.

The official announcement from Google highlighted the growth of businesses managing their digital presence on popular social media sites. The integration makes sense as social media continues to become a popular method for search discovery and information, with 15% of consumers believing social media to be the most accurate/current source to find up-to-date business details.

The expansion of the social report feature showcases performance for accounts Google associates with a website, allowing businesses a centralized location for reviewing key search and discoverability metrics. This update signifies just how intertwined search and social are becoming. Search and social should no longer be treated as disparate functions, but rather integral counterparts that must communicate and coordinate to improve online visibility and discovery.

A Closer Look At Google’s Social Channel Insights Test

When digging into Google Search Console Insights to ascertain what exactly these new social metrics entail, we see a plethora of new information has been added. It appears as though this feature isn’t readily available to all, but is only showing up for some websites where Google was able to locate their social media channels. Of those who have seen the new social media report features, they’re seeing:

  • The total reach from Google to your social channels.
  • Social media content performance.
  • Queries drive traffic to your social channels.
  • Trends such as high average duration or post growth.

Right now, it appears as though the social media metrics measured focus mostly on referral insights. This isn’t merely a slight tweak to the user experience. It could be seen as a strategic convergence of data, meant to shine a spotlight on how social goes hand in hand with search performance.

Does This Mean Social Is Having More Influence?

Google doesn’t typically make updates for fun or convenience. Each update is a signal for what they plan to evaluate next as part of their never-ending quest to maintain dominancy in the search engine landscape.

Even though Google hasn’t explicitly stated that social engagement metrics have direct influence, this could be an acknowledgement that discovery is increasingly happening on other channels, such as AI platforms and social media.

Search has fractured with other players joining the race, and Google is clearly noticing and adapting. In fact, a study found nearly a quarter (24%) of U.S. adults use social media as their primary search method, while another 24% use search primarily but also social media occasionally. 78% of global internet users leverage social media to research brands and products, and over 60% of Gen Z consumers have purchased a product they’ve found on social media.

Search engines are no longer the sole place consumers start their sales journey. Users use AI to research and ask questions, or seek out online reviews and testimonies on social media channels. Search engines are becoming more of a validation layer, where users go after they research all the options to confirm information, or seek additional information, and then move to the transaction stage.

How Social Channel Insights Could Impact Social Campaigns

When it comes to social, evaluating performance in the past may have looked like chasing more likes and comments. Engagement, of course, still matters, but Google is telling us what other insights we should consider, right inside your GSC dashboard.

Social referral insights give social media marketers visibility into how their content performs in the search discovery journey. Writing social posts to meet an arbitrary number or goal isn’t the end game. It’s about finding the posts that have the influence.

For social campaigns, social insights can help you:

  • Identify which social content themes generate downstream search demand.
  • Use query-level insights to inform what you write and the message you want to get across.
  • Highlighting social’s distinct role in discovery, not just engaging passive viewers.
  • Coordinate more seamlessly with SEO teams in terms of campaign launches and promotions to capitalize on growing demand.
  • Empower marketers to create content that resonates and aligns with what users are likely to search for next, keeping you one step ahead of the game.

Instead of considering traditional social media metrics (such as comments, shares, or likes), social teams can use these new Social Channel Insights in GSC to increase online visibility.

What Social Signals We’d Like To See Google Include Next

Google, if you’re reading this, here’s what we’d love to see beyond referral behavior to help marketers provide even more strategic value.

Social insights that could meaningfully support discovery-focused strategies include:

  • Content velocity indicators: Show us how quickly topics gain traction on social before search demand spikes.
  • Content format indicators: Tell us what content formats perform best for winning search discovery, whether that be short-form videos or static posts.
  • Topic momentum indicators: Help us understand emerging themes gaining attention across platforms.
  • Creator and brand association indicators: Give us more transparency around which entities are consistently driving early discovery for certain topics.
  • Cross-platform trend alignment indicators: Reveal when multiple social ecosystems signal rising interest at the same time. This helps us strike the iron when it’s hot.

By adding the aforementioned signals, SEOs would be able to anticipate intent shifts earlier and inform content and social teams to draft meaningful and relevant content right away, not after the hype dies down. It’s a win for all teams as your time investment will lead to actual results.

What Marketers Should Do Now

Even though this is a limited test and hasn’t impacted every business (yet),  it would be a good idea for marketers to review their social media channels and strategy to provide an exceptional experience across every channel customers find you.

To prepare, marketers should:

  • Audit which pages receive the most social-driven search traffic. These insights will inform which types of content and topics attract social search visitors most.
  • Align content calendars across social and SEO teams. Start breaking silos between teams by enabling transparency across cross-department initiatives, such as the content calendar. By doing so, you’ll better create a culture of collaboration and give teams shared KPIs to work toward.
  • Repurpose high-performing social content into search-optimized formats (and vice versa). For example, social videos that are performing well in search can be embedded into relevant blog posts, helping you get more value and longevity out of the content you work hard to create. Another example would be user-generated content repurposed into frequently asked questions.
  • Track emerging social trends. Social platforms like TikTok and Instagram can serve as search indicators, allowing marketers to anticipate what consumers are interested in most and what’s capturing their attention.
  • Integrate hybrid analytics into your measurement tracking. AI is having an impact on marketing; however, humans still play a key role in any and every marketing endeavor. Machine-driven insights may give us data at our fingertips; however, human interpretation and validation are still a must. Only humans have the power and foresight to assess nuance, emotions, and insider knowledge, far better than any machine ever could.

Next Steps To Take With Social Channel Insights

Google’s rollout of Social Channel Insights in GSC may seem like a minor advancement, but it’s more than just additional metrics to track for marketers. It signifies how Google is considering how the two disciplines share insights.

Search engines are factoring in the rise of discovery and influence taking place on social media channels. By bridging the gap, and working more closely together, social media marketers and SEOs should see each other as partners rather than once in a while collaborators. The result? Better workflows, collaboration, visibility, and business impact.

Marketers who embrace a cross-collaboration mentality with SEOs will be better poised to appear in the moments that matter, being discovered and chosen.

More Resources:


Featured Image: MR.DEEN/Shutterstock

New Yahoo Scout AI Search Delivers The Classic Search Flavor People Miss via @sejournal, @martinibuster

Yahoo has announced Yahoo Scout, a new AI-powered answer engine now available in beta to users in the United States, providing a clean Classic Search experience with the power of personalized AI. The launch also includes the Yahoo Scout Intelligence Platform, which brings AI features across Yahoo’s core products, including Mail, News, Finance, and Sports.

Screenshot Of Yahoo Scout

Yahoo’s Existing Products and User Reach

Yahoo’s announcement states that it operates some of the most popular websites and services in the United States, reaching what they say is 90% of all internet users in the United States (based on Comscore data), through its email, news, finance, and sports properties. The company says that Yahoo Scout builds on the foundation of decades of search behavior and user interaction data.

How Yahoo Scout Generates Answers

Yahoo has partnered with Anthropic to use the Claude model as the primary AI system behind Yahoo Scout. Yahoo’s announcement said it selected Claude for speed, clarity, judgment, and safety, which it described as essential qualities for a consumer-facing answer engine. Yahoo also continues its partnership with Microsoft by using Microsoft Bing’s grounding API, which connects AI-generated answers to information from across the open web. Yahoo said this approach ensures that answers are informed by authoritative sources rather than unsupported text generation.

According to Yahoo, Scout relies on a combination of traditional web search and generative AI to produce answers that are grounded using Microsoft Bing’s grounding API and informed by sources from across the open web.

According to  Yahoo:

“It’s informed by 500 million user profiles, a knowledge graph spanning more than 1 billion entities, and 18 trillion consumer events that occur annually across Yahoo, which allow Yahoo Scout to provide effective and personalized answers and suggested actions.”

Yahoo’s announcement says that this data, its use of Claude, and reliance on Bing for grounding work together to provide responses to answers that are personalized and helpful for researching and making decisions in the “moments that matter” to people.

They explain:

“Yahoo Scout continues Yahoo’s focus on the moments that matter to people’s daily lives, such as understanding upcoming weather patterns before a vacation, getting details about an important game, tracking stock price movements after earnings, comparing products before buying, or fact-checking a news story.”

Where Yahoo Scout Appears Inside Yahoo Products

The Yahoo Scout Intelligence Platform embeds these AI capabilities directly into Yahoo’s existing services.

For example:

  • In Yahoo Mail, Scout supports AI-generated message summaries.
  • In Yahoo Sports, it produces game breakdowns.
  • In Yahoo News, it surfaces key takeaways.
  • In Yahoo Finance, Scout adds interactive tools for analysis that allow readers to explore market news and stock performance context through AI-powered questions.

According to Eric Feng, Senior Vice President and General Manager of Yahoo Research Group:

“Yahoo’s deep knowledge base, 30 years in the making, allows us to deliver guidance that our users can trust and easily understand, and will become even more personalized over the coming months. Yahoo Scout now powers a new generation of intelligence experiences across Yahoo, seamlessly integrated into the products people use every day.”

What Yahoo Says Comes Next

Yahoo said Scout will continue to develop over the coming months. Planned updates include deeper personalization, expanded capabilities within specific verticals, and new formats for search advertising designed to work in generative AI search. The company did not provide a timeline for when the beta period will end or when additional features will move beyond testing.

Yahoo explained:

“Yahoo Scout will continue to evolve in the months ahead, expanding to power new products across Yahoo. In particular, the new answer engine will become more personalized, will add new capabilities focused on deeper experiences within key verticals, and will introduce new, improved opportunities for search advertisers to effectively cross the chasm to generative AI search advertising. “

Yahoo’s Search Experience

Something that’s notable about Yahoo’s AI answer engine experience is how clean and straightforward it is. It’s like a throwback to classic search but with the sophistication of AI answers.

For example, I asked it to give me information on where I can buy an esoteric version of a Levi’s trucker jacket in a specific color (Midnight Harvest) and it presented a clean summary of where to get it, a table with a list of retailers ordered by the lowest prices.

Screenshot Of Yahoo Scout

Notice that there are no product images? It’s just giving me the prices. I don’t know if that’s because they don’t have a product feed but I already know what the jacket looks like in the color I specified so images aren’t really necessary.  This is what I mean when I say that Yahoo Scout offers that Classic Search flavor without the busy overly fussy search experience that Google has been providing lately.

With Yahoo Scout, the company is applying AI systems to tasks its users perform when they search for, read, or compare information online. Rather than positioning AI as a replacement for search or content platforms, Yahoo is using it as a tool that organizes, summarizes, and explains information in a clean and easy to read format.

Yahoo Scout is easy to like because it delivers the clean and uncluttered search experience that many people miss.

Check out Yahoo Scout at scout.yahoo.com

The Yahoo Scout app is available for Android and Apple devices.

The Download: OpenAI’s plans for science, and chatbot age verification

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.

Inside OpenAI’s big play for science 

—Will Douglas Heaven

In the three years since ChatGPT’s explosive debut, OpenAI’s technology has upended a remarkable range of everyday activities at home, at work, and in schools.

Now OpenAI is making an explicit play for scientists. In October, the firm announced that it had launched a whole new team, called OpenAI for Science, dedicated to exploring how its large language models could help scientists and tweaking its tools to support them.

So why now? How does a push into science fit with OpenAI’s wider mission? And what exactly is the firm hoping to achieve? I put these questions to Kevin Weil, a vice president at OpenAI who leads the new OpenAI for Science team, in an exclusive interview. Read the full story.

Why chatbots are starting to check your age

How do tech companies check if their users are kids?

This question has taken on new urgency recently thanks to growing concern about the dangers that can arise when children talk to AI chatbots. For years Big Tech asked for birthdays (that one could make up) to avoid violating child privacy laws, but they weren’t required to moderate content accordingly.

Now, two developments over the last week show how quickly things are changing in the US and how this issue is becoming a new battleground, even among parents and child-safety advocates. Read the full story.

—James O’Donnell

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here.

TR10: Commercial space stations

Humans have long dreamed of living among the stars, and for two decades hundreds of us have done so aboard the International Space Station (ISS). But a new era is about to begin in which private companies operate orbital outposts—with the promise of much greater access to space than before.

The ISS is aging and is expected to be brought down from orbit into the ocean in 2031. To replace it, NASA has awarded more than $500 million to several companies to develop private space stations, while others have built versions on their own. Read why we made them one of our 10 Breakthrough Technologies this year, and check out the rest of the list.

The must-reads

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

1 Tech workers are pressuring their bosses to condemn ICE 
The biggest companies and their leaders have remained largely silent so far. (Axios)
+ Hundreds of employees have signed an anti-ICE letter. (NYT $)
+ Formerly politically-neutral online spaces have become battlegrounds. (WP $)

2 The US Department of Transport plans to use AI to write new safety rules
Please don’t do this. (ProPublica)
+ Failure to catch any errors could lead to civilian deaths. (Ars Technica)

3 The FBI is investigating Minnesota Signal chats tracking federal agents
But free speech advocates claim the information is legally obtained. (NBC News)
+ A judge has ordered a briefing on whether Minnesota is being illegally punished. (Wired $)

4 TikTok users claim they’re unable to send “Epstein” in direct messages
But the company says it doesn’t know why. (NPR)
+ Users are also experiencing difficulty uploading anti-ICE videos. (CNN)
+ TikTok’s first weekend under US ownership hasn’t gone well. (The Verge)
+ Gavin Newsom wants to probe whether TikTok is censoring Trump-critical content. (Politico)

5 Grok is not safe for children or teens
That’s the finding of a new report digging into the chatbot’s safety measures. (TechCrunch)
+ The EU is investigating whether it disseminates illegal content, too. (Reuters)

6 The US is on the verge of losing its measles-free status
Following a year of extensive outbreaks. (Undark)
+ Measles is surging in the US. Wastewater tracking could help. (MIT Technology Review)

7 Georgia has become the latest US state to consider banning data centers
Joining Maryland and Oklahoma’s stance. (The Guardian)
+ Data centers are amazing. Everyone hates them. (MIT Technology Review)

8 The future of Saudi Arabia’s futuristic city is in peril
The Line was supposed to house 9 million people. Instead, it could become a data center hub. (FT $)
+ We got an exclusive first look at it back in 2022. (MIT Technology Review)

9 Where do Earth’s lighter elements go? 🌍
New research suggests they might be hiding deep inside its core. (Knowable Magazine)

10 AI-generated influencers are getting increasingly surreal
Featuring virtual conjoined twins, and triple-breasted women. (404 Media)
+ Why ‘nudifying’ tech is getting steadily more dangerous. (Wired $)

Quote of the day

“Humanity is about to be handed almost unimaginable power, and it is deeply unclear whether our social, political, and technological systems possess the maturity to wield it.”

—Anthropic CEO Dario Amodei sounds the alarm about what he sees as the imminent dangers of AI superintelligence in a new 38-page essay, Axios reports.

One more thing

Why one developer won’t quit fighting to connect the US’s grids

Michael Skelly hasn’t learned to take no for an answer. For much of the last 15 years, the energy entrepreneur has worked to develop long-haul transmission lines to carry wind power across the Great Plains, Midwest, and Southwest. But so far, he has little to show for the effort.

Skelly has long argued that building such lines and linking together the nation’s grids would accelerate the shift from coal- and natural-gas-fueled power plants to the renewables needed to cut the pollution driving climate change. But his previous business shut down in 2019, after halting two of its projects and selling off interests in three more.

Skelly contends he was early, not wrong. And he has a point: markets and policymakers are increasingly coming around to his perspective. Read the full story.

—James Temple

We can still have nice things

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

+ Cats on the cover of the New Yorker! Need I say more?
+ Here’s how to know when you truly love someone.
+ This orphaned baby seal is just too cute.
+ I always had a sneaky suspicion that Depeche Mode and the Cure make for perfect bedfellows.

Stratospheric internet could finally start taking off this year

Today, an estimated 2.2 billion people still have either limited or no access to the internet, largely because they live in remote places. But that number could drop this year, thanks to tests of stratospheric airships, uncrewed aircraft, and other high-altitude platforms for internet delivery. 

Even with nearly 10,000 active Starlink satellites in orbit and the OneWeb constellation of 650 satellites, solid internet coverage is not a given across vast swathes of the planet. 

One of the most prominent efforts to plug the connectivity gap was Google X’s Loon project. Launched in 2011, it aimed to deliver access using high-altitude balloons stationed above predetermined spots on Earth. But the project faced literal headwinds—the Loons kept drifting away and new ones had to be released constantly, making the venture economically unfeasible. 

Although Google shuttered the high-profile Loon in 2021, work on other kinds of high-altitude platform stations (HAPS) has continued behind the scenes. Now, several companies claim they have solved Loon’s problems with different designs—in particular, steerable airships and fixed-wing UAVs (unmanned aerial vehicles)—and are getting ready to prove the tech’s internet beaming potential starting this year, in tests above Japan and Indonesia.

Regulators, too, seem to be thinking seriously about HAPS. In mid-December, for example, the US Federal Aviation Administration released a 50-page document outlining how large numbers of HAPS could be integrated into American airspace. According to the US Census Bureau’s 2024 American Community Survey (ACS) data, some 8 million US households (4.5% of the population) still live completely offline, and HAPS proponents think the technology might get them connected more cheaply than alternatives.

Despite the optimism of the companies involved, though, some analysts remain cautious.

“The HAPS market has been really slow and challenging to develop,” says Dallas Kasaboski, a space industry analyst at the consultancy Analysis Mason. After all, Kasaboski says, the approach has struggled before: “A few companies were very interested in it, very ambitious about it, and then it just didn’t happen.”

Beaming down connections

Hovering in the thin air at altitudes above 12 miles, HAPS have a unique vantage point to beam down low-latency, high-speed connectivity directly to smartphone users in places too remote and too sparsely populated to justify the cost of laying fiber-optic cables or building ground-based cellular base stations.

“Mobile network operators have some commitment to provide coverage, but they frequently prefer to pay a fine than cover these remote areas,” says Pierre-Antoine Aubourg, chief technology officer of Aalto HAPS, a spinoff from the European aerospace manufacturer Airbus. “With HAPS, we make this remote connectivity case profitable.” 

Aalto HAPS has built a solar-powered UAV with a 25-meter wingspan that has conducted many long-duration test flights in recent years. In April 2025 the craft, called Zephyr, broke a HAPS record by staying afloat for 67 consecutive days. The first months of 2026 will be busy for the company, according to Aubourg; Zephyr will do a test run over southern Japan to trial connectivity delivery to residents of some of the country’s smallest and most poorly connected inhabited islands.

the Zephyr on the runway at sunrise

AALTO

Because of its unique geography, Japan is a perfect test bed for HAPS. Many of the country’s roughly 430 inhabited islands are remote, mountainous, and sparsely populated, making them too costly to connect with terrestrial cell towers. Aalto HAPS is partnering with Japan’s largest mobile network operators, NTT DOCOMO and the telecom satellite operator Space Compass, which want to use Zephyr as part of next-generation telecommunication infrastructure.

“Non-terrestrial networks have the potential to transform Japan’s communications ecosystem, addressing access to connectivity in hard-to-reach areas while supporting our country’s response to emergencies,” Shigehiro Hori, co-CEO of Space Compass, said in a statement

Zephyr, Aubourg explains, will function like another cell tower in the NTT DOCOMO network, only it will be located well above the planet instead of on its surface. It will beam high-speed 5G connectivity to smartphone users without the need for the specialized terminals that are usually required to receive satellite internet. “For the user on the ground, there is no difference when they switch from the terrestrial network to the HAPS network,” Aubourg says. “It’s exactly the same frequency and the same network.”

New Mexico–based Sceye, which has developed a solar-powered helium-filled airship, is also eyeing Japan for pre-commercial trials of its stratospheric connectivity service this year. The firm, which extensively tested its slick 65-meter-long vehicle in 2025, is working with the Japanese telecommunications giant SoftBank. Just like NTT DOCOMO, Softbank is betting on HAPS to take its networks to another level. 

Mikkel Frandsen, Sceye’s founder and CEO, says that his firm succeeded where Loon failed by betting on the advantages offered by the more controllable airship shape, intelligent avionics, and innovative batteries that can power an electric fan to keep the aircraft in place.

“Google’s Loon was groundbreaking, but they used a balloon form factor, and despite advanced algorithms—and the ability to change altitude to find desired wind directions and wind speeds—Loon’s system relied on favorable winds to stay over a target area, resulting in unpredictable station-seeking performance,” Frandsen says. “This required a large amount of balloons in the air to have relative certainty that one would stay over the area of operation, which was financially unviable.”

He adds that Sceye’s airship can “point into the wind” and more effectively maintain its position. 

“We have significant surface area, providing enough physical space to lift 250-plus kilograms and host solar panels and batteries,” he says, “allowing Sceye to maintain power through day-night cycles, and therefore staying over an area of operation while maintaining altitude.” 

The persistent digital divide

Satellite internet currently comes at a price tag that can be too high for people in developing countries, says Kasaboski. For example, Starlink subscriptions start at $10 per month in Africa, but millions of people in these regions are surviving on a mere $2 a day.

Frandsen and Aubourg both claim that HAPS can connect the world’s unconnected more cheaply. Because satellites in low Earth orbit circle the planet at very high speeds, they quickly disappear from a ground terminal’s view, meaning large quantities of those satellites are needed to provide continuous coverage. HAPS can hover, affording a constant view of a region, and more HAPS can be launched to meet higher demand.

“If you want to deliver connectivity with a low-Earth-orbit constellation into one place, you still need a complete constellation,” says Aubourg. “We can deliver connectivity with one aircraft to one location. And then we can tailor much more the size of the fleet according to the market coverage that we need.”

Starlink gets a lot of attention, but satellite internet has some major drawbacks, says Frandsen. A big one is that its bandwidth gets diluted once the number of users in an area grows. 

In a recent interview, Starlink cofounder Elon Musk compared the Starlink beams to a flashlight. Given the distance at which those satellites orbit the planet, the cone is wide, covering a large area. That’s okay when users are few and far between, but it can become a problem with higher densities of users.

For example, Ukrainian defense technologists have said that Starlink bandwidth can drop on the front line to a mere 10 megabits per second, compared with the peak offering of 220 Mbps when drones and ground robots are in heavy use. Users in Indonesia, which like Japan is an island nation, also began reporting problems with Starlink shortly after the service was introduced in the country in 2024. Again, bandwidth declined as the number of subscribers grew.

In fact, Frandsen says, Starlink’s performance is less than optimal once the number of users exceeds one person per square kilometer. And that can happen almost anywhere—even relatively isolated island communities can have hundreds or thousands of residents in a small area. “There is a relationship between the altitude and the population you can serve,” Frandsen says. “You can’t bring space closer to the surface of the planet. So the telco companies want to use the stratosphere so that they can get out to more rural populations than they could otherwise serve.” Starlink did not respond to our queries about these challenges. 

Cheaper and faster

Sceye and Aalto HAPS see their stratospheric vehicles as part of integrated telecom networks that include both terrestrial cell towers and satellites. But they’re far from the only game in town. 

World Mobile, a telecommunications company headquartered in London, thinks its hydrogen-powered high-altitude UAV can compete directly with satellite mega-constellations. The company acquired the HAPS developer Stratospheric Platforms last year. This year, it plans to flight-test an innovative phased array antenna, which it claims will be able to deliver bandwidth of 200 megabits per second (enough to enable ultra-HD video streaming to 500,000 users at the same time over an area of 15,000 square kilometers—equivalent to the coverage of more than 500 terrestrial cell towers, the company says). 

Last year, World Mobile also signed a partnership with the Indonesian telecom operator Protelindo to build a prototype Stratomast aircraft, with tests scheduled to begin in late 2027.

Richard Deakin, CEO of World Mobile’s HAPS division World Mobile Stratospheric, says that just nine Stratomasts could supply Scotland’s 5.5 million residents with high-speed internet connectivity at a cost of £40 million ($54 million) per year. That’s equivalent to about 60 pence (80 cents) per person per month, he says. Starlink subscriptions in the UK, of which Scotland is a part, come at £75 ($100) per month.

A troubled past 

Companies working on HAPS also extol the convenience of prompt deployments in areas struck by war or natural disasters like Hurricane Maria in Puerto Rico, after which Loon played an important role. And they say that HAPS could make it possible for smaller nations to obtain complete control over their celestial internet-beaming infrastructure rather than relying on mega-constellations controlled by larger nations, a major boon at a time of rising geopolitical tensions and crumbling political alliances. 

Analysts, however, remain cautious, projecting a HAPS market totaling a modest $1.9 billion by 2033. The satellite internet industry, on the other hand, is expected to be worth $33.44 billion by 2030, according to some estimates. 

The use of HAPS for internet delivery to remote locations has been explored since the 1990s, about as long as the concept of low-Earth-orbit mega-constellations. The seemingly more cost-effective stratospheric technology, however, lost to the space fleets thanks to the falling cost of space launches and ambitious investment by Musk’s SpaceX. 

Google wasn’t the only tech giant to explore the HAPS idea. Facebook also had a project, called Aquila, that was discontinued after it too faced technical difficulties. Although the current cohort of HAPS makers claim they have solved the challenges that killed their predecessors, Kasaboski warns that they’re playing a different game: catching up with now-established internet-beaming mega constellations. By the end of this year, it’ll be much clearer whether they stand a good chance of doing so.

OpenAI’s latest product lets you vibe code science

OpenAI just revealed what its new in-house team, OpenAI for Science, has been up to. The firm has released a free LLM-powered tool for scientists called Prism, which embeds ChatGPT in a text editor for writing scientific papers.

The idea is to put ChatGPT front and center inside software that scientists use to write up their work in much the same way that chatbots are now embedded into popular programming editors. It’s vibe coding, but for science.

Kevin Weil, head of OpenAI for Science, pushes that analogy himself. “I think 2026 will be for AI and science what 2025 was for AI in software engineering,” he said at a press briefing yesterday. “We’re starting to see that same kind of inflection.”

OpenAI claims that around 1.3 million scientists around the world submit more than 8 million queries a week to ChatGPT on advanced topics in science and math. “That tells us that AI is moving from curiosity to core workflow for scientists,” Weil said.

Prism is a response to that user behavior. It can also be seen as a bid to lock in more scientists to OpenAI’s products in a marketplace full of rival chatbots.

“I mostly use GPT-5 for writing code,” says Roland Dunbrack, a professor of biology at the Fox Chase Cancer Center in Philadelphia, who is not connected to OpenAI. “Occasionally, I ask LLMs a scientific question, basically hoping it can find information in the literature faster than I can. It used to hallucinate references but does not seem to do that very much anymore.”

Nikita Zhivotovskiy, a statistician at the University of California, Berkeley, says GPT-5 has already become an important tool in his work. “It sometimes helps polish the text of papers, catching mathematical typos or bugs, and provides generally useful feedback,” he says. “It is extremely helpful for quick summarization of research articles, making interaction with the scientific literature smoother.”

By combining a chatbot with an everyday piece of software, Prism follows a trend set by products such as OpenAI’s Atlas, which embeds ChatGPT in a web browser, as well as LLM-powered office tools from firms such as Microsoft and Google DeepMind.

Prism incorporates GPT-5.2, the company’s best model yet for mathematical and scientific problem-solving, into an editor for writing documents in LaTeX, a common coding language that scientists use for formatting scientific papers.

A ChatGPT chat box sits at the bottom of the screen, below a view of the article being written. Scientists can call on ChatGPT for anything they want. It can help them draft the text, summarize related articles, manage their citations, turn photos of whiteboard scribbles into equations or diagrams, or talk through hypotheses or mathematical proofs.

It’s clear that Prism could be a huge time saver. It’s also clear that a lot of people may be disappointed, especially after weeks of high-profile social media chatter from researchers at the firm about how good GPT-5 is at solving math problems. Science is drowning in AI slop: Won’t this just make it worse? Where is OpenAI’s fully automated AI scientist? And when will GPT-5 make a stunning new discovery?

That’s not the mission, says Weil. He would love to see GPT-5 make a discovery. But he doesn’t think that’s what will have the biggest impact on science, at least not in the near term.

“I think more powerfully—and with 100% probability—there’s going to be 10,000 advances in science that maybe wouldn’t have happened or wouldn’t have happened as quickly, and AI will have been a contributor to that,” Weil told MIT Technology Review in an exclusive interview this week. “It won’t be this shining beacon—it will just be an incremental, compounding acceleration.”

The first human test of a rejuvenation method will begin “shortly” 

When Elon Musk was at Davos last week, an interviewer asked him if he thought aging could be reversed. Musk said he hasn’t put much time into the problem but suspects it is “very solvable” and that when scientists discover why we age, it’s going to be something “obvious.”

Not long after, the Harvard professor and life-extension evangelist David Sinclair jumped into the conversation on X to strongly agree with the world’s richest man. “Aging has a relatively simple explanation and is apparently reversible,” wrote Sinclair. “Clinical Trials begin shortly.”

“ER-100?” Musk asked.

“Yes” replied Sinclair.

ER-100 turns out to be the code name of a treatment created by Life Biosciences, a small Boston startup that Sinclair cofounded and which he confirmed today has won FDA approval to proceed with the first targeted attempt at age reversal in human volunteers. 

The company plans to try to treat eye disease with a radical rejuvenation concept called “reprogramming” that has recently attracted hundreds of millions in investment for Silicon Valley firms like Altos Labs, New Limit, and Retro Biosciences, backed by many of the biggest names in tech. 

The technique attempts to restore cells to a healthier state by broadly resetting their epigenetic controls—switches on our genes that determine which are turned on and off.  

“Reprogramming is like the AI of the bio world. It’s the thing everyone is funding,” says Karl Pfleger, an investor who backs a smaller UK startup, Shift Bioscience. He says Sinclair’s company has recently been seeking additional funds to keep advancing its treatment.

Reprogramming is so powerful that it sometimes creates risks, even causing cancer in lab animals, but the version of the technique being advanced by Life Biosciences passed initial safety tests in animals.

But it’s still very complex. The trial will initially test the treatment on about a dozen patients with glaucoma, a condition where high pressure inside the eye damages the optic nerve. In the tests, viruses carrying three powerful reprogramming genes will be injected into one eye of each patient, according to a description of the study first posted in December. 

To help make sure the process doesn’t go too far, the reprogramming genes will be under the control of a special genetic switch that turns them on only while the patients take a low dose of the antibiotic doxycycline. Initially, they will take the antibiotic for about two months while the effects are monitored. 

Executives at the company have said for months that a trial could begin this year, sometimes characterizing it as a starting bell for a new era of age reversal. “It’s an incredibly big deal for us as an industry,” Michael Ringel, chief operating officer at Life Biosciences, said at an event this fall. “It’ll be the first time in human history, in the millennia of human history, of looking for something that rejuvenates … So watch this space.”

The technology is based on the Nobel Prize–winning discovery, 20 years ago, that introducing a few potent genes into a cell will cause it to turn back into a stem cell, just like those found in an early embryo that develop into the different specialized cell types. These genes, known as Yamanaka factors, have been likened to a “factory reset” button for cells. 

But they’re dangerous, too. When turned on in a living animal, they can cause an eruption of tumors.

That is what led scientists to a new idea, termed “partial” or “transient” reprogramming. The idea is to limit exposure to the potent genes—or use only a subset of them—in the hope of making cells act younger without giving them complete amnesia about what their role in the body is.

In 2020, Sinclair claimed that such partial reprogramming could restore vision to mice after their optic nerves were smashed, saying there was even evidence that the nerves regrew. His report appeared on the cover of the influential journal Nature alongside the headline “Turning Back Time.”

Not all scientists agree that reprogramming really counts as age reversal. But Sinclair has doubled down. He’s been advancing the theory that the gradual loss of correct epigenetic information in our cells is, in fact, the ultimate cause of aging—just the kind of root cause that Musk was alluding to.

“Elon does seem to be paying attention to the field and [is] seemingly in sync with [my theory],” Sinclair said in an email.

Reprogramming isn’t the first longevity fix championed by Sinclair, who’s written best-selling books and commands stratospheric fees on the longevity lecture circuit. Previously, he touted the longevity benefits of molecules called sirtuins as well as resveratrol, a molecule found in red wine. But some critics say he greatly exaggerates scientific progress, pushback that culminated in a 2024 Wall Street Journal story that dubbed him a “reverse-aging guru” whose companies “have not panned out.” 

Life Biosciences has been among those struggling companies. Initially formed in 2017, it at first had a strategy of launching subsidiaries, each intended to pursue one aspect of the aging problem. But after these made limited progress, in 2021 it hired a new CEO, Jerry McLaughlin, who has refocused its efforts  on Sinclair’s mouse vision results and the push toward a human trial. 

The company has discussed the possibility of reprogramming other organs, including the brain. And Ringel, like Sinclair, entertains the idea that someday even whole-body rejuvenation might be feasible. But for now, it’s better to think of the study as a proof of concept that’s still far from a fountain of youth. “The optimistic case is this solves some blindness for certain people and catalyzes work in other indications,” says Pfleger, the investor. “It’s not like your doctor will be writing a prescription for a pill that will rejuvenate you.”

Life’s treatment also relies on an antibiotic switching mechanism that, while often used in lab animals, hasn’t been tried in humans before. Since the switch is built from gene components taken from E. coli and the herpes virus, it’s possible that it could cause an immune reaction in humans, scientists say. 

“I was always thinking that for widespread use you might need a different system,” says Noah Davidsohn, who helped Sinclair implement the technique and is now chief scientist at a different company, Rejuvenate Bio. And Life’s choice of reprogramming factors—it’s picked three, which go by the acronym OSK—may also be risky. They are expected to turn on hundreds of other genes, and in some circumstances the combination can cause cells to revert to a very primitive, stem-cell-like state.

Other companies studying reprogramming say their focus is on researching which genes to use, in order to achieve time reversal without unwanted side effects. New Limit, which has been carrying out an extensive search for such genes, says it won’t be ready for a human study for two years. At Shift, experiments on animals are only beginning now.

“Are their factors the best version of rejuvenation? We don’t think they are. I think they are working with what they’ve got,” Daniel Ives, the CEO of Shift, says of Life Biosciences. “But I think they’re way ahead of anybody else in terms of getting into humans. They have found a route forward in the eye, which is a nice self-contained system. If it goes wrong, you’ve still got one left.”

How Ecommerce Succeeds in Africa

Most global ecommerce businesses outsource customer deliveries. The process depends on standardized addresses, reliable couriers, predictable delivery windows, and successful online checkout.

Yet many African markets lack these pillars. This disconnect is apparent in the first fulfillment step.

Logistics in Africa

Informal, landmark addresses

Automated routing software is ineffective when a driver relies on directions like “turn left at the blue gate after the mango tree.” A driver who makes 100 drops in New York may only complete 20 in Lagos or Nairobi because of the need for multiple phone calls to locate the customer.

This inefficiency inflates the cost per delivery by making it unfeasible to ship low-value products (such as a $5 t-shirt) without charging a delivery fee that equals or exceeds the item’s value.

Consumer skepticism

Delivery mistakes and failures are routine, eroding consumer trust. The problem is illustrated by the “What I ordered vs. what I got” trend, a viral meme originating in Nigeria, where consumers share photos of inferior goods.

The result is that many shoppers in Africa refuse to prepay. They demand cash on delivery and insist on inspecting the package at the doorstep before paying.

If they reject an item (due to poor quality or simple preference), merchants must pay for the return trip, doubling the logistics cost for zero revenue.

Two photos of shoes, purporting to show the difference in the online image versus what actually arrived.

In Nigeria, consumers share “what I ordered vs. what I got” photos. This example is from TikTok.

Infrastructure gaps

Adding drivers or warehouses does not automatically reduce unit costs. Poor roads, limited city-to-city transport, and port congestion persist. The asset-heavy approach of owning trucks and distribution centers often becomes financially unsustainable.

 Third-party couriers inherit these flaws

Merchants hoping to outsource these bottlenecks find that third-party logistics providers hit the same reality. The market limits a driver’s efficiency. Even if a courier has a flawless local network, delays in cargo clearance or urban gridlock often cascade downstream.

Local solutions

Local players are rewriting the rules by investing in systems that function effectively regardless of the environment. These include:

Human agent networks, which decentralize and delegate the “last mile” to locals. The local agent knows the neighborhood (solving the address problem), and the customer knows the agent (removing mistrust).

Jumia, Africa’s dominant marketplace, recently pivoted to this model with its JForce program that recruited over 30,000 localized agents in rural areas and smaller cities.

Informal fleets. Another emerging solution is building software layers that coordinate the millions of motorcycles and tuk-tuks (three-wheeled vehicles) on the road. This avoids the costs of fleet ownership while using vehicles better suited for navigating traffic.

In Lagos, for example, Kwik, an on-demand courier, deploys independent motorbike riders who can weave through traffic and gridlock that would trap a delivery van.

Similarly, Loop in South Africa develops software that dynamically adjusts routes for third-party fleets based on real-time traffic.

Photo of a Kwik courier on a motorcycle

Kwik deploys motorbike riders in Lagos, Nigeria, who can weave through traffic and gridlock. Photo: Kwik.

Deliver in bulk to intermediaries. Delivering bulk goods to known, informal retailers rather than individuals allows couriers to drop 50 items at one location (a shop) rather than making 50 trips to customers’ houses.

Anticipate failures. Implementing “pre-failure” checks and contingency tools for drivers can prevent minor friction points from escalating to failed deliveries.

For example:

  • “Cash floats” protect cash-on-delivery revenue. Delivery provider Glovo mandates that drivers carry pre-counted small bills, preventing failed deliveries from the inability to provide change.
  • Verify first. Loop uses automated WhatsApp flows to contact the customer before the driver leaves the hub. If the customer does not confirm availability, the system flags the order to prevent a wasted trip.

The new playbook

Consumers in Africa are concentrated and accessible. The Big Four markets of Nigeria, Egypt, South Africa, and Kenya command nearly 70% of startup capital.

Yet capital alone cannot fix the ‘trust deficit’ or pave the roads. Ecommerce winners in Africa adapt to hyperlocal challenges for profitable selling.

Google AI Overviews Now Powered By Gemini 3 via @sejournal, @MattGSouthern

Google is making Gemini 3 the default model for AI Overviews in markets where the feature is available and adding a direct path into AI Mode conversations.

The updates, shared in a Google blog post, bring Gemini 3’s reasoning capabilities to AI Overviews. Google says the feature now reaches over one billion users.

What’s New

Gemini 3 For AI Overviews

The Gemini 3 upgrade brings the same reasoning capabilities to AI Overviews that previously powered AI Mode.

Robby Stein, VP of Product for Google Search, wrote:

“We’re rolling out Gemini 3 as the default model for AI Overviews globally, so even more people will be able to access best-in-class AI responses, directly in the results page for questions where it’s helpful.”

Gemini 3 launched in November, and Google shipped it to AI Mode on release day. This expands Gemini 3 from AI Mode into AI Overviews as the default.

AI Overview To AI Mode Transition

You can now ask a follow-up question right from an AI Overview and continue into AI Mode. The context from the original response carries into the conversation, so you don’t start over.

Stein described the thinking behind the change:

“People come to Search for an incredibly wide range of questions – sometimes to find information quickly, like a sports score or the weather, where a simple result is all you need. But for complex questions or tasks where you need to explore a topic deeply, you should be able to seamlessly tap into a powerful conversational AI experience.”

He called the result “one fluid experience with prominent links to continue exploring.”

An earlier test of this flow ran globally on mobile back in December.

In testing, Google found people prefer this kind of natural flow into conversation. The company also found that keeping AI Overview context in follow-ups makes Search more helpful.

Why This Matters

The pattern has held since AI Overviews launched. Each update makes it easier to stay within AI-powered responses.

When Gemini 3 arrived in AI Mode, it brought deeper query fan-out and dynamic response layouts. AI Overviews running on the same model could produce different citation patterns.

That makes today’s update an important one to monitor. Model changes can affect which pages get cited and how responses are structured.

Looking Ahead

Google says the updates are rolling out starting today, though availability may vary by market.

Google previously indicated plans to add automatic model selection that routes complex questions to Gemini 3 while using faster models for simpler tasks. Whether that affects AI Overviews beyond today’s default model change isn’t specified.


Featured Image: Darshika Maduranga/Shutterstock