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Kimi Linear's hybrid architecture claims to outperform full attention, but its real-world impact hinges on the open-source community's ability to adopt its complex design.
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As AI amplifies cyber threats, robust Salesforce AI security demands proactive admin strategies, including MFA, least privilege, and leveraging AI-powered defense tools.
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Remember when ChatGPT launched and everyone predicted Google’s search empire would crumble? Yeah, about that. Here’s the reality check nobody saw coming. A massive new report from Datos, a Semrush company, just analyzed billions of desktop searches from millions of users across the US and Europe. The data reveals an unexpected AI search evolution: Google isn’t just surviving the revolution, it’s absolutely crushing it with a 95% market share in both regions.
And as for all those headlines about OpenAI killing Google with ChatGPT’s search features? Turns out they were way off base.
Don’t get me wrong. ChatGPT and its AI buddies have definitely made an impact. Usage has nearly tripled over the past year. More than 30% of US desktop users and over 40% of Europeans are now using ChatGPT. Tools like Gemini, Claude, and Perplexity have their loyal fans too.
On the surface, it sounds like Google might have just lost 30-40% of its users to AI. But here are some numbers to put it into perspective: AI tools only make up about 1.3% of total browsing activity.
Despite every tech pundit on Twitter declaring that AI would replace Google, it barely makes a dent in how people actually search for stuff online. AI isn’t replacing traditional search at all. It’s just another tool in your digital toolbox. You might ask ChatGPT to help you debug some code or brainstorm ideas. Then you’ll hop over to Google’s AI Mode to find that new Thai restaurant or check if your favorite shoes are on sale.
Okay, so Google’s not dead. However, it does have one major issue that publishers are grappling with. Zero-click searches.
Almost 27% of Google searches now end without anyone clicking anything. This is up from 24.4% just a year ago. People are getting their answers right there on the search results page and calling it a day.
For anyone running a website or trying to drive traffic, this is kind of scary. You’ve done all your SEO homework, you put in the effort into crafting the best articles. All this just so you could rank number one on Google. But then you still get zero visitors because Google just answered the question itself. And the worst part is that these answers might have been scraped from your own website.
Google’s AI Overviews feature is a big part of this. These AI-generated summaries now show up in over 13% of searches, and that number keeps climbing. Some estimates say they could appear in more than 80% of informational searches soon.
In August, Google straight up denied that AI search was hurting website traffic. Publishers weren’t buying it. Multiple reports showed traffic tanking, especially for news sites, but Google said everything was fine.
But if you really want to know what’s actually shaking up the search game, it’s not some fancy AI tool. It’s an oldie but goodie: Reddit.
The community-driven platform has absolutely exploded in popularity. It’s overtaken Facebook in desktop visits in the US and is catching up fast in Europe. Reddit now sits comfortably in the top five destinations people reach from search engines, right alongside YouTube, Amazon, Wikipedia, and Facebook.
This is because people are tired of reading polished, SEO-optimized garbage that tells them nothing useful. When you Google “best budget laptop Reddit,” you’re saying loud and clear that you want real opinions from real people, not some affiliate marketing nonsense. Reddit got so valuable that Google paid them $60 million for access to their data to train AI models.
This is actually a fascinating turnaround. In the past, websites strived to provide readers with neutral commentary and let them make the decisions themselves. But now? We’re missing the human touch so much that sometimes diving deep into an echo chamber like Reddit might yield more interesting (and controversial) opinions and perspectives that traditional websites might not have.
While AI is stealing traffic from some sites, it’s completely failing to disrupt others.
YouTube remains untouchable. It’s the top destination from traditional search in both the US and Europe. It’s also the second-most visited site from AI tools.
But why can’t AI touch video content? Because watching someone actually do something is way more valuable than reading about it. You can’t replace a 10-minute tutorial on fixing your sink with a text summary. Try learning a new dance move from ChatGPT. Good luck with that.
This reveals something important about what AI is actually disrupting. Sites offering basic, factual, “evergreen” content are getting hammered. Wikipedia, for example, lost 5% of its human traffic year over year while bots and scrapers grew massively. Stack Overflow, Chegg, and similar Q&A sites are bleeding traffic.
But platforms offering fresh perspectives, community discussions, and video content? They’re actually thriving. YouTube’s citation rate in AI answers jumped from 37% to 54%. Reddit gets mentioned by ChatGPT as often as it gets cited. These platforms offer something AI can’t replicate: real human experiences and visual demonstrations.
So, what does this mean for anyone trying to drive traffic or build an audience? It’s time to toss out the old playbook and start writing a new one. Creating generic “what is” articles and “how to” guides used to be a solid strategy. Now? AI just scrapes that content, summarizes it, and nobody ever visits your site.
Some publishers are already shifting their strategy. Instead of cranking out evergreen content that AI can easily replicate, they’re focusing on what AI can’t steal: original research, unique data, customer stories, and fresh perspectives that haven’t been said a million times before.
Think about it this way: ChatGPT can tell you what SEO is. But at the same time, it can’t tell you about the weird bug you just discovered in Google Search Console this morning. AI can explain Reddit. But can it spill the tea unfolding in your favorite subreddit right now?
From what we’ve gathered, the content that survives is either too specific for AI to care about, too fresh for AI to have learned yet, or too personality-driven for AI to replicate. As for everything else? Well, you might think of it like roadkill on the information superhighway.
The fear and resistance around AI search evolution isn’t new. We’ve watched this exact movie play out before.
There are strong parallels between how traditional artists reacted to the rise of digital art and how some content creators today feel about AI-generated content. When digital art first emerged, many traditional artists felt threatened, dismissed it as “cheating,” or questioned its legitimacy as “real art” because it offered new tools and shortcuts that made certain aspects of creation easier or faster.
Now, doesn’t that sound familiar?
Early reactions to digital art in the 2000s mirror today’s AI anxiety perfectly. Traditional artists viewed digital tools with skepticism, often calling it “not real art” because it lacked the physicality and manual skill associated with traditional mediums. Some artists felt that digital tools made art creation too easy, reducing the perceived value of the artist’s effort and skill. There was intimidation, as digital art allowed for rapid production and easy corrections, which contrasted with the more labor-intensive and irreversible nature of traditional art.
Just as digital art was once seen as a threat to traditional art, AI-powered search tools are now viewed by some as a threat to traditional websites and publishers. Both faced backlash for being labeled as “cheating” or “not legitimate,” often due to misunderstandings about the creative process and the skills required.
Over time, digital art gained acceptance as artists and audiences recognized that it required its own unique set of skills and creative decisions, much like traditional art. A similar evolution is happening with AI search right now. The tools aren’t replacing the craft. Instead, they’re expanding what’s possible.
Google’s 95% market share isn’t going anywhere. ChatGPT’s search tools didn’t kill traditional search. They just gave us another option.
The real story of this AI search evolution isn’t about AI destroying Google. It’s about how we’re all learning to use multiple tools for different jobs. You’ve got Google for quick facts and finding stuff. You can also use ChatGPT for brainstorming and complex questions. Then, you can always hop on Reddit for real opinions, and finally, YouTube for how-tos.
Some things obviously need to be addressed. Zero-click searches are forcing websites to completely rethink their strategy. Generic content is dead, and community platforms and video are winning.
As for the AI revolution everyone predicted, it feels more like a gentle evolution in search. The reality is less dramatic than the headlines suggested, but way more interesting when you look at how people actually use the internet now.
So, maybe the future of search isn’t about one platform winning. It’s about all of them carving out their own space. Now, it’s up to content creators learning which types of content are worth making in an AI-powered world.
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An AI browser prompt injection flaw in Opera Neon allowed attackers to extract sensitive user data through hidden HTML, exposing a critical security challenge for agentic browsers.
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AI is transforming team wellness, offering small and medium-sized businesses a strategic advantage in boosting productivity and retaining top talent through personalized care.
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Effective AI scale testing is crucial for deploying high-quality, secure AI applications, requiring a disciplined approach from hotspot identification to realistic workload modeling and data analysis.
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South Korea is making an unprecedented national investment in its AI infrastructure, deploying over a quarter-million NVIDIA GPUs to build a comprehensive AI ecosystem.
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Salesforce Agentic Commerce introduces AI-powered tools and strategic partnerships to redefine retail, enhancing discovery, personalization, and operational efficiency.
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The Esri AWS AI collaboration aims to transform static maps into dynamic, predictive tools using generative AI foundation models.
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The University of Washington’s Paul G. Allen School of Computer Science & Engineering is reframing what it means for its research to change the world.
In unveiling six “Grand Challenges” at its annual Research Showcase and Open House in Seattle on Wednesday, the Allen School’s leaders described a blueprint for technology that protects privacy, supports mental health, broadens accessibility, earns public trust, and sustains people and the planet.
The idea is to “organize ourselves into some more specific grand challenges that we can tackle together to have an even greater impact,” said Magdalena Balazinska, director of the Allen School and a UW computer science professor, opening the school’s annual Research Showcase and Open House.
Here are the six grand challenges:
Balazinska explained that the list draws on the strengths and interests of its faculty, who now number more than 90, including 74 on the tenure track.
With total enrollment of about 2,900 students, last year the Allen School graduated more than 600 undergrads, 150 master’s students, and 50 Ph.D. students.
The Allen School has grown so large that subfields like systems and NLP (natural language processing) risk becoming isolated “mini departments,” said Shwetak Patel, a University of Washington computer science professor. The Grand Challenges initiative emerged as a bottom-up effort to reconnect these groups around shared, human-centered problems.
Patel said the initiative also encourages collaborations on campus beyond the computer science school, citing examples like fetal heart rate monitoring with UW Medicine.
A serial entrepreneur and 2011 MacArthur Fellow, Patel recalled that when he joined UW 18 years ago, his applied and entrepreneurial focus was seen as unconventional. Now it’s central to the school’s direction. The grand challenges initiative is “music to my ears,” Patel said.
In tackling these challenges, the Allen School has a unique advantage against many other computer science schools. Eighteen faculty members currently hold what’s known as “concurrent engagements” — formally splitting time between the Allen School and companies and organizations such as Google, Meta, Microsoft, and the Allen Institute for AI (Ai2).
This is a “superpower” for the Allen School, said Patel, who has a concurrent engagement at Google. These arrangements, he explained, give faculty and students access to data, computing resources, and real-world challenges by working directly with companies developing the most advanced AI systems.
“A lot of the problems we’re trying to solve, you cannot solve them just at the university,” Patel said, pointing to examples such as open-source foundation models and AI for mental-health research that depend on large-scale resources unavailable in academia alone.
These roles can also stretch professors thin. “When somebody’s split, there’s only so much mental energy you can put into the university,” Patel said. Many of those faculty members teach just one or two courses a year, requiring the school to rely more on lecturers and teaching faculty.
Still, he said, the benefits outweigh the costs. “I’d rather have 50% of somebody than 0% of somebody, and we’ll make it work,” he said. “That’s been our strategy.”
The Madrona Prize, an annual award presented at the event by the Seattle-based venture capital firm, went to a project called “Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward.” The system makes AI chatbots more personal by giving them a “curiosity reward,” motivating the AI to actively learn about a user’s traits during a conversation to create more personalized interactions.
On the subject of industry collaborations, the lead researcher on the prize-winning project, UW Ph.D. student Yanming Wan, conducted the research while working as an intern at Google DeepMind. (See full list of winners and runners-up below.)
At the evening poster session, graduate students filled the rooms to showcase their latest projects — including new advances in artificial intelligence for speech, language, and accessibility.
DopFone: Doppler-based fetal heart rate monitoring using commodity smartphones
DopFone transforms phones into fetal heart rate monitors. It uses the phone speaker to transmit a continuous sine wave and uses the microphone to record the reflections. It then processes the audio recordings to estimate fetal heart rate. It aims to be an alternative to doppler ultrasounds that require trained staff, which aren’t practical for frequent remote use.
“The major impact would be in the rural, remote and low-resource settings where access to such maternity care is less — also called maternity care deserts,” said Poojita Garg, a second-year PhD student.
CourseSLM: A Chatbot Tool for Supporting Instructors and Classroom Learning
This custom-built chatbot is designed to help students stay focused and build real understanding rather than relying on quick shortcuts. The system uses built-in guardrails to keep learners on task and counter the distractions and over-dependence that can come with general large language models.
Running locally on school devices, the chatbot helps protect student data and ensures access even without Wi-Fi.
“We’re focused on making sure students have access to technology, and know how to use it properly and safely,” said Marquiese Garrett, a sophomore at the UW.
Efficient serving of SpeechLMs with VoxServe
VoxServe makes speech-language models run more efficiently. It uses a standardized abstraction layer and interface that allows many different models to run through a single system. Its key innovation is a custom scheduling algorithm that optimizes performance depending on the use case.
The approach makes speech-based AI systems faster, cheaper, and easier to deploy, paving the way for real-time voice assistants and other next-gen speech applications.
“I thought it would be beneficial if we can provide this sort of open-source system that people can use,” said Keisuke Kamahori, third-year Ph.D. student at the Allen School.
ConvFill: Model collaboration for responsive conversational voice agents
ConvFill is a lightweight conversational model designed to reduce the delay in voice-based large language models. The system responds quickly with short, initial answers, then fills in more detailed information as larger models complete their processing.
By combining small and large models in this way, ConvFill delivers faster responses while conserving tokens and improving efficiency — an important step toward more natural, low-latency conversational AI.
“This is an exciting way to think about how we can combine systems together to get the best of both worlds,” said Zachary Englhardt, a third-year Ph.D. student. “It’s an exciting way to look at problems.”
ConsumerBench: Benchmarking generative AI on end-user devices
Running generative AI locally — on laptops, phones, or other personal hardware — introduces new system-level challenges in fairness, efficiency, and scheduling.
ConsumerBench is a benchmarking framework that tests how well generative AI applications perform on consumer hardware when multiple AI models run at the same time. The open-source tool helps researchers identify bottlenecks and improve performance on consumer devices.
There are a number of benefits to running models locally: “There are privacy purposes — a user can ask for questions related to email or private content, and they can do it efficiently and accurately,” said Yile Gu, a third-year Ph.D. student at the Allen School.
Designing Chatbots for Sensitive Health Contexts: Lessons from Contraceptive Care in Kenyan Pharmacies
A project aimed at improving contraceptive access and guidance for adolescent girls and young women in Kenya by integrating low-fidelity chatbots into healthcare settings. The goal is to understand how chatbots can support private, informed conversations and work effectively within pharmacies.
“The fuel behind this whole project is that my team is really interested in improving health outcomes for vulnerable populations,” said Lisa Orii, a fifth-year Ph.D. student.
See more about the research showcase here. Here’s the list of winning projects.
Madrona Prize Winner: “Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward” Yanming Wan, Jiaxing Wu, Marwa Abdulhai, Lior Shani, Natasha Jaques
Runner up: “VAMOS: A Hierarchical Vision-Language-Action Model for Capability-Modulated and Steerable Navigation” Mateo Guaman Castro, Sidharth Rajagopal, Daniel Gorbatov, Matt Schmittle, Rohan Baijal, Octi Zhang, Rosario Scalise, Sidharth Talia, Emma Romig, Celso de Melo, Byron Boots, Abhishek Gupta
Runner up: “Dynamic 6DOF VR reconstruction from monocular videos” Baback Elmieh, Steve Seitz, Ira-Kemelmacher, Brian Curless
People’s Choice: “MolmoAct” Jason Lee, Jiafei Duan, Haoquan Fang, Yuquan Deng, Shuo Liu, Boyang Li, Bohan Fang, Jieyu Zhang, Yi Ru Wang, Sangho Lee, Winson Han, Wilbert Pumacay, Angelica Wu, Rose Hendrix, Karen Farley, Eli VanderBilt, Ali Farhadi, Dieter Fox, Ranjay Krishna
Editor’s Note: The University of Washington underwrites GeekWire’s coverage of artificial intelligence. Content is under the sole discretion of the GeekWire editorial team. Learn more about underwritten content on GeekWire.
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AI breast cancer screening, powered by MedCognetics and NVIDIA, is bringing critical early detection capabilities to rural India via mobile clinics.
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Google's new initiative in Brazil demonstrates how AI is becoming indispensable for scaling diverse carbon removal technologies, from methane capture to reforestation.
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A new SAE PII detection method deployed by Rakuten uses model internals to achieve a 96% F1 score, compared to just 51% using the same model as a black-box judge.
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Sierra's platform uses AI 'Supervisors' for real-time correction and 'Monitors' for constant evaluation, aiming to solve the AI reliability problem with more AI.
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Amplitude's new tool formalizes the race for AI brand monitoring, a discipline for an era where being mentioned by an AI is the new top search result.
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New research from Snap Inc., and GWI, has revealed that Qataris are among the most digitally engaged and forward-thinking audiences in the Middle East. The findings from “Getting to know Snapchatters in Qatar” highlight that more than 50% create content or interact with branded posts monthly, which makes them 33% more likely to click on sponsored content and 47% more likely to swipe up on Stories compared to the regional average.
At a time when cultural relevance and audience impact are paramount for brand engagement, the research showcases how Snapchatters in Qatar are setting new trends across content, commerce and community. Distinct usage habits among Snapchatters in Qatar highlight the individuality of this audience:
“The findings from our research with GWI underscores Snapchat’s unparalleled ability to reach Qatar’s most engaged and culturally connected digital consumers – predominantly Gen Z and affluent locals – who are shaping new standards for creativity, cultural relevance, and online engagement across the GCC.,” said Dina Al Sabbagh, Group Manager, Global Research and Insights at Snap Inc. “Whether brands are looking to tell their story, drive conversions, or tap into the cultural heartbeat of the nation, Snapchat’s insights and tools offer the perfect vehicle to build meaningful, impactful connections with their audience.”
Supported by its advanced AR tools and creator-driven ecosystem, Snapchat empowers brands, creators, and developers across the region to make meaningful connections with the right audiences. These insights underscore Snapchat’s position as the go-to space for full-funnel marketing in Qatar, reaffirming the platform’s role in connecting brands to Qatar’s most engaged and influential digital consumers, who are not just consuming content but actively shaping the conversations around it.
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Alphabet’s recent third-quarter results have sent a clear message to the market: far from cannibalizing its foundational search business, generative AI appears to be bolstering it, contributing to a robust financial performance that surpassed expectations. This narrative, delivered by CNBC’s MacKenzie Sigalos on ‘Closing Bell Overtime’ to anchor John, highlights Alphabet’s strategic positioning and significant […]
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SCUBA, a new benchmark, is redefining how Salesforce Agentic AI is evaluated, focusing on real-world enterprise software interaction and automation.
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Google's Q3 2025 earnings mark a record $100 billion quarter, with AI driving unprecedented Google AI revenue growth across its entire ecosystem.
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The Future Investment Initiative (FII) Institute, in collaboration with Accenture, unveiled a research report on AI investment entitled “Rebalancing Intelligence: How the Next Wave of AI Investment is Set to Flow South.”
The report is being launched at FII9, a global conference at which the world’s investment agenda is set, convening the world’s most influential leaders.
After years of concentration in the Global North, investors now predict a significant rebalancing of AI capital flows towards emerging markets, a major shift in investor focus.
The new data show that 87% of global investors plan to increase AI investments in the Global South within the next two years, with India, Southeast Asia, and the Middle East identified as most likely beneficiaries.
The study surveyed 250 C-suite leaders from private equity firms (40%), venture capital firms (40%), and corporate venture units of large enterprises (20%) across 13 countries in the Global North. It also included 15 in-depth interviews with senior investors from leading PE, VC, and sovereign wealth funds.
Despite the Global South representing nearly half the world’s population and a quarter of global economic growth, it currently attracts only 28% of AI-related foreign direct investment, a fraction of the $548 billion invested globally over the past two years. There are just nine AI unicorns in the Global South, compared with 305 in the North.
AI dominates this year’s FII9 agenda, with over one third of panels and speakers exploring its potential. From tech and chip CEOs to sovereign funds, global investors and policymakers, FII9 is where the future of AI capital flows is discussed.
“OpenAI’s recent $1 trillion chip investment commitment shows the scale of transformation ahead,” said Richard Attias, CEO of FII Institute. “We must ensure this wave lifts all boats. Bridging the AI investment divide is an economic opportunity and a moral imperative. Innovation must be a driver of shared global prosperity.”
“We are excited to join FII in launching this insightful report, which provides a unique and timely opportunity for global business leaders to learn about the untapped potential of AI to unlock growth in the Global South,” said Julie Sweet, Chair and CEO, Accenture. “AI is much more than a technology—it’s a catalyst for reinvention—and investment in talent, infrastructure and local ecosystems across these regions will help ensure that AI becomes a force for shared prosperity and shape a future where innovation knows no borders.”
The report is the first major deliverable of AI Inclusive, an FII Institute initiative designed to accelerate AI growth in emerging markets by mobilizing investment, supporting startups, and deploying adaptable governance tools.
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HP released the third annual HP Work Relationship Index (WRI), a comprehensive global study that examines how people around the world feel about their relationship with work.
This year’s results reveal that fulfillment at work has hit a historic low. Only 20% of knowledge workers report a healthy relationship with work, down 8 points from 2024. The most dramatic decline is among business leaders, underscoring a crisis of connection and confidence at the very top. Yet the study also finds that 85% of the factors influencing workplace fulfillment are within an organization’s control, underscoring a significant opportunity for businesses to lead change and rebuild stronger work relationships.
For example, only 44% of knowledge workers say their work gives them a sense of purpose, and just 39% feel they receive adequate recognition for their contributions. These are fixable problems that will be critical as businesses seek to embrace a more fulfilling future of work.
“The findings from this year’s Work Relationship Index reinforce that the way we work is changing fast,” stated Peter Oganesean, Managing Director of HP Middle East and East Africa. “As younger professionals set new expectations around flexibility, autonomy and purpose, business leaders have a clear mandate: to create environments where people feel connected, valued and empowered to succeed. Fulfillment at work isn’t a nice-to-have, it’s a business imperative.”
Work Isn’t Working
The 2025 Index shows employees under pressure, with many reporting rising expectations and a sense of disconnection. More than 6 in 10 desk-based workers say their company’s expectations have increased over the past year, while nearly half feel their employer prioritizes profit over people.
At the same time, the findings highlight an opportunity: businesses can reshape the employee experience through stronger leadership, recognition, flexibility and access to the right tools. By taking action now, organizations can turn today’s challenges into a foundation for healthier and more fulfilling work relationships.
Fulfillment Drives Growth
Research confirms that fulfilled employees are not only happier, but also more likely to drive positive outcomes for their organizations. Workers in the “Healthy Zone” are three times more likely to feel connected to colleagues, achieve work-life balance and contribute to business growth.
AI as a Positive Enabler
The 2025 Index also demonstrates AI’s potential to reshape the work experience. Four in ten knowledge workers now use AI daily, and those with access to work-provided AI tools are twice as likely to report a healthy relationship with work. Yet adoption gaps remain: just 21% of knowledge workers describe themselves as proficient in AI, compared to 56% of IT decision makers.
Businesses that democratize access to AI – through tools and training – are seeing measurable gains in optimism, productivity and retention.
The Future is Generational
An increasing focus of business leaders, and of this year’s Index, is the immediate impact of young professionals. Gen Z and Millennials, now the majority of the global workforce, are reshaping work with new expectations.
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The artificial intelligence community received a jolt of precision when Sam Altman and Jakub Pachocki of OpenAI, during a recent livestream, laid out an ambitious, almost startlingly specific timeline for the emergence of advanced AI capabilities. Far from vague predictions, they articulated a vision where an “Automated AI research intern” could be a reality by […]
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A photographer whose biology work brings him up close and personal with bats captures incredible portraits of the often-misunderstood creatures.
Here’s how Google Research’s approach is helping solve challenges in areas that affect so many people.Today, we are announcing the recipients of the 2025 Google PhD Fellowship Program.
Google appears to be testing a “Copy post” option that lets businesses share one update across multiple Google Business Profiles.
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