AI News Archive: August 11, 2026 — Part 6
Sourced from 500+ daily AI sources, scored by relevance.
- Deepfake hiccup unmasks suspected digital certificate fraudster
Face-swap software blinked for 'barely a second,' giving Spanish cops the break they needed
- The Fastest-Growing Companies in America Are Replacing Legacy Software With AI Tools
Here’s how CEOs of Inc. 5000 companies evaluate new solutions and look to integrate AI tools.
Score: 45🌐 MovesAug 11, 2026https://www.inc.com/divya-bhardwaj/fastest-growing-companies-software-ai-tools/91383413 - Job applicants use hidden text to trick A.I. screeners
Some job seekers are reportedly using hidden text in their resumes and applications to trick A.I. hiring systems. Developer Relations Engineer and content creator Harnoor Singh breaks down the potential impact this has for applicants.
Score: 45🌐 MovesAug 11, 2026https://www.nbcnews.com/video/hidden-text-may-help-job-applicants-trick-a-i-screeners-268082245950 - Why Scaling AI Compute Performance Requires a New Power Architecture
Every new generation of accelerated computing demands more from the infrastructure underneath it — more compute performance, higher rack density and more efficient, scalable power distribution. The bottleneck isn’t just wattage. It’s how power gets from the grid to the GPU. In traditional power delivery, electricity travels from the grid as an alternating current (AC) […]
- Blumira launches Hearth, an AI command center that spans rival security tools
Security operations platform startup Blumira Inc. today launched Hearth, a vendor-agnostic artificial intelligence command center that lets security teams investigate and act across their existing tools from a single interface. The product is available to organizations that do not use Blumira and is aimed at teams running a patchwork of identity, firewall, endpoint and cloud […] The post Blumira launches Hearth, an AI command center that spans rival security tools appeared first on SiliconANGLE .
Score: 45🌐 MovesAug 11, 2026https://siliconangle.com/2026/08/11/blumira-launches-hearth-ai-command-center-spans-rival-security-tools/ - Laser wireless charging could keep drones airborne indefinitely — improved receiver converts at 38.49% efficiency and uses nanocrystalline material for thermals
Researchers use a ground-based laser to wirelessly deliver power to drones, potentially allowing them to stay airborne without landing to recharge.
- Meet Asia's tech billionaire Jason Chang: From semiconductor pioneer to AI-driven boom
Meet Asia's tech billionaire Jason Chang: From semiconductor pioneer to AI-driven boom Gulf News
- Building monday.com Sidekick: why capable agents need more than just tools
Case study on creating a monday.com Sidekick, highlighting agent capabilities beyond tool usage.
Score: 45🌐 MovesAug 11, 2026https://blog.langchain.dev/blog/building-monday-com-sidekick-why-capable-agents-need-more-than-just-tools - Compal bets on expansion in Taiwan, Vietnam and US for AI servers
Compal bets on expansion in Taiwan, Vietnam and US for AI servers Nikkei Asia
- Crypto impersonation scams grew 1,400% as AI supercharged fraud
Impersonation scams grew more than 1,400% year over year in 2025, according to Chainalysis, with the average payment into those clusters rising more than 600%. Across all scam categories the average crypto payment climbed from $782 to $2,764. An attack class does not scale like that because more people are running it. It scales because […] This story continues at The Next Web
Score: 45🌐 MovesAug 11, 2026https://thenextweb.com/news/crypto-impersonation-scams-1400-percent-ai-deepfake-fraud - India advances to Global AI power status with innovative governance model
India is emerging as a major player in artificial intelligence by combining large‑scale public investment, shared computing facilities and a governance model that seeks to balance innovation with democratic safeguards, a report has said.
- Navigating the AI data center capacity crisis
Navigating the AI data center capacity crisis InfoWorld
Score: 45🌐 MovesAug 11, 2026https://www.infoworld.com/article/4207475/navigating-the-ai-data-center-capacity-crisis.html - Are humanoid robots ready to scrub your kitchen? Not quite.
Startup companies are now starting to test their humanoid robots for home use, but experts said wider adoption will take years.
Score: 44🌐 MovesAug 11, 2026https://www.cbsnews.com/news/tau-robotics-humanoid-ai-cleaning-robots-san-francisco/ - AI increases ARPU, emerges as a new monetisation lever for Naukri
Info Edge Manging Director revealed during Q1FY27 earnings call that newer monetisation levers like AI REX, Talent Pulse significantly contributed to higher ARPU and expanded revenue opportunity per customer for Naukri. The post AI increases ARPU, emerges as a new monetisation lever for Naukri appeared first on MEDIANAMA .
Score: 44🌐 MovesAug 11, 2026https://www.medianama.com/2026/08/223-ai-arpu-new-monetisation-lever-naukri/ - The Guardian view on AI money in US politics: not the way to hold an urgent democratic debate | Editorial
Amid public concern over the impact of new technology, Silicon Valley’s use of its wealth to influence specific election races is an unwelcome development As the huge societal ramifications of artificial intelligence have become clear, some of the tech industry’s most senior figures have taken to writing thinkpieces on what comes next. The latest to do so is Mark Zuckerberg, who this week published 6,500 words making the case for a laissez-faire approach to AI development. Worrying too much about regulation, Meta’s CEO unsurprisingly opines, could lead to the United States falling behind in the race to own the future. Mr Zuckerberg’s plea for maximum autonomy is, of course, self-serving. Much of his essay – which airily envisions “invention superpowers” for every entrepreneur and “an abundance of jobs in the future” – reads like unadulterated tech-utopianism. But the lobbying at least has the merit of being out there in the open. As midterm elections loom in the US, darker arts are also being used to counter popular concern about what AI will mean for a host of topics, from the labour market to child safety, the environment and cybersecurity. Continue reading...
- SiTime CEO on Role in AI Data Centers, Renesas Deal
Rajesh Vashist, Chairman and CEO of SiTime, discussed the company's impressive triple-digit year-over-year revenue growth, attributing much of the acceleration to AI-driven demand and the expanding data center market. SiTime's technology plays a critical role in timing synchronization across various data center components, including TPUs, GPUs, switches, accelerator cards, optical modules, and cables, ensuring high performance and cost efficiency. He speaks with Romaine Bostick & Isabelle Lee on "The Close." (Source: Bloomberg)
Score: 44🌐 MovesAug 11, 2026https://www.bloomberg.com/news/videos/2026-08-11/sitime-ceo-on-role-in-ai-data-centers-renesas-deal-video - AI’s next frontier is physical items
On this episode of Adventures in AI , Fast Company speaks to Alexander Reben, an entrepreneur, roboticist, and cofounder of Phyzify, a lab using AI tools to create physical objects based on your imagination.
- Exclusive: ZeroDrift applies small language model to prevent AI-generated compliance violations
“This investment is guaranteed to return 12% annually.” A claim like that in an email from an investment adviser is a regulatory disaster. Regulations prohibit financial firms from promising returns and require a proviso that past performance doesn’t guarantee future results. In the age of artificial intelligence, fewer communications are going through human hands, and […] The post Exclusive: ZeroDrift applies small language model to prevent AI-generated compliance violations appeared first on SiliconANGLE .
- The Society of Professional Journalists proposes edits to its code of ethics for the AI age
On Monday, the Society of Professional Journalists (SPJ) dropped new proposed revisions to its code of ethics — the first revision to one of the most-cited media ethics standards in the country since 2014. As any Nieman Lab reader knows, journalism has seen drastic changes since 2014. One major shift in the last 12 years?...
- Mark Zuckerberg wants you to trust Meta with your personal AI. Good luck with that
Meta’s CEO, Mark Zuckerberg, dropped a 6,500-word essay Monday arguing that AI is safest and most beneficial when it’s distributed widely and not controlled by a few leading AI labs. It was more than an essay; it was a manifesto, a proclamation about how the artificial intelligence era should proceed. It was also an exercise in repositioning. Meta wants to present itself as the responsible, democratizing force in AI, and Zuckerberg as a serious thinker about the technology’s social consequences—territory more often associated with people like Anthropic’s CEO, Dario Amodei. The problem is that Zuckerberg’s vision requires users to trust Meta. And unless people have very short memories, that will be a difficult sell. Zuckerberg and company have already burned through most of the public’s trust. During Meta’s last obsession, the “metaverse,” I argued that the company would never dominate the AR/VR space because of the immense amount of personal data users (and people they interact with) would be asked to give up. (That concern hasn’t exactly disappeared. Meta’s AR glasses are now facing a privacy backlash severe enough that some people have taken to calling them “pervert glasses.”) That distrust extends well beyond Meta. Americans have consistently expressed deep skepticism about social media companies’ handling of personal information. In one Pew survey, just 23% of social media users said they were confident the platforms they used would protect their personal information from hackers or unauthorized users. And 77% of Americans said they had little or no trust in social media executives to acknowledge mistakes and take responsibility when user data is misused. It’s the same problem with personal AI agents. Zuckerberg’s vision is to give users a personal superintelligent agent that knows everything about them. In his words: “Your agent will work 24/7 on your behalf to improve your relationships, health, career, finances, home management, hobbies, and more.” Given Facebook’s track record on data privacy , that should send chills down the spine. Meta’s business has always been operating an advertising network where ads are targeted based on thousands of little breadcrumbs of information it picks up about users and their interests. Users who chatter away with a personal AI agent could end up forfeiting much more of their personal data. Meta is very aware of its trust problem. In three different places in his essay, Zuckerberg promises that Meta’s AI agents will offer strong privacy and security options so users can trust it to handle all of their personal content and that no one else will be able to access the information. Zuckerberg says his AI security will be “similar to how encryption works on WhatsApp.” Meta has a history of making ambitious promises about encryption and then struggling to deliver. The company pledged to “pivot” Messenger, Instagram and WhatsApp toward end-to-end encryption back in 2019, then dragged its feet for almost four years before finally rolling out default end-to-end encryption on Messenger in late December 2023. Zuck’s essay rotates around three main ideas: Individual empowerment is the source of prosperity, invention is the purpose of superintelligence, and balance of power is the foundation of safety. When AI is controlled by just a few institutions, Zuckerberg says, it’s likely to be used to replace human workers. When it’s distributed to everyone, via open models, it’s more likely to empower individuals to invent new products that turn into new companies that must hire new employees. And Meta has perhaps the best business model among AI companies for the wide distribution of personal AI. Because of its lucrative ad business, it doesn’t depend on subscription or API fees for revenue, unlike OpenAI and Anthropic. It can afford to give its users free access to its frontier models—something other AI labs may have a harder time doing at comparable scale. But even then, many users will avoid using a Meta AI agent as their daily go-to. As they use it more and more, they will realize how much the agent learns about them—their relationships, health, career, finances, home management, and hobbies—and they’ll begin to wonder whether all that information will really be kept secure. Facebook users once believed that Facebook would never sell or loan out user information. Then Cambridge Analytica happened .
- 67% of shoppers plan to use AI for gift ideas. Here’s how chatbots are changing the way we shop for gifts
67% of shoppers plan to use AI for gift ideas. Here’s how chatbots are changing the way we shop for gifts Miami Herald
- South Africa wants to use machine learning to screen travellers for fraud
President Cyril Ramaphosa will launch the Electronic Travel Authorisation (ETA), a digital visa system, at OR Tambo International Airport on Wednesday.
Score: 42🌐 MovesAug 11, 2026https://techcabal.com/2026/08/11/south-africa-machine-learning-border-checks/ - He Tracked Terrorist Money After 9/11. Now His AI Startup Makes $10 Million Fighting Financial Crime
Stuart Jones Jr. co-founded Sigma360 to modernize how companies screen customers to ensure they’re not criminals.
- DXC and Primary Launch AI-Native Zero Trust Platform for Enterprise AI
DXC Technology today announced a strategic partnership with Primary, becoming the exclusive managed services provider for Primary’s AI-native Zero Trust Platform. The joint offering helps enterprises securely deploy and scale AI by governing how AI agents and enterprise AI applications access data, while strengthening security, identity, and compliance. As organizations move from AI experimentation to […] The post DXC and Primary Launch AI-Native Zero Trust Platform for Enterprise AI appeared first on CXOToday.com .
- How AI-led commercial transformation can power industrial growth
Industrial companies are entering the most consequential commercial reset in decades—and many are less prepared than they believe.
- AI evolving as core intelligence layer in India's fintech transformation: ASSOCHAM-KPMG report
A joint knowledge paper by ASSOCHAM and KPMG explores how India's fintech ecosystem along with AI is evolving from a tool for automation and analytics into a strategic capability
- Info Edge’s Hitesh Oberoi on why AI is hurting Shiksha, but not Naukri
Shiksha's billings fell 23% in Q1 FY27 as AI-driven changes in Google Search reduced referral traffic. Info Edge is investing in counselling and AI bots to counter the impact. The post Info Edge’s Hitesh Oberoi on why AI is hurting Shiksha, but not Naukri appeared first on MEDIANAMA .
Score: 42🌐 MovesAug 11, 2026https://www.medianama.com/2026/08/223-ai-impact-shiksha-info-edge-q1fy27/ - Samsung aims to train 20,000 youths in AI in India
This will be carried out under the 2026 edition of Samsung Innovation Campus (SIC), the flagship CSR programme dedicated to equipping young people with industry-relevant skills in artificial intelligence (AI), Samsung India said in a statement.
- How one VC burns through hundreds of millions of tokens a day to find the next unicorn
The investor behind a $75-million AI-focused fund explains why reading research papers and testing frontier models has become part of his job.
- When OpenAI employees hit a roadblock, they email this address to ask CEO Sam Altman to solve it immediately
When OpenAI employees hit a roadblock, they email this address to ask CEO Sam Altman to solve it immediately Fortune
- AI Is Not Just For The Big Boys
Generative AI can enhance supply chain planning solutions, but the heart of these solutions is statistical modeling and machine learning. GenAI improves explainability.
Score: 42🌐 MovesAug 11, 2026https://www.forbes.com/sites/stevebanker/2026/08/11/ai-is-not-just-for-the-big-boys/ - UK letting agents under pressure from AI-assisted tenant complaints
One agent said 90 per cent of complaints arrive as email documents, often on multiple pages, showing signs of AI generation
Score: 41🌐 MovesAug 11, 2026https://www.ft.com/content/a87d7d98-92b8-48cc-8b8d-868bb1f79034?syn-25a6b1a6=1 - Your AI agent may be ready. Your sales motion probably isn’t.
Presented by Salesforce Interested buyers don't generate revenue. Live customers do. That's the lesson I keep drawing from watching hundreds of ISV partnerships navigate the agent economy over the last 18 months. The companies pulling ahead aren't winning on features. They're winning because customers can move from discovery to live deployment in hours, while competitors are still negotiating contracts, clearing tax reviews, and waiting on provisioning. That gap between a buyer who says “yes” and a customer who is actually using the product is where too many deals lose momentum. Urgency fades. Champions move on. Competitors get another opening. Gutenburg saw that gap firsthand. Healthcare organizations valued its product, but sales cycles stretched 30 to 45 days. With custom pricing via AgentExchange, the company closed an urgent healthcare deal in just 48 hours. Not 48 days. 48 hours. The final contract phase alone dropped from 4 hours to 4 minutes. A 60x improvement. I see this pattern across the ISV ecosystem. Building agents is getting faster. Getting buyers live before urgency fades is becoming the constraint. In a market moving this quickly, that can matter as much as the agent itself. It’s like building a bullet train and selling tickets by fax. The product is built for speed. The transaction is not. Distribution beats product in crowded markets Nearly every software company is pouring resources into agent development. Far fewer are rethinking the path from discovery to deployment. Manual contracts, custom invoicing, tax reviews, provisioning delays, these are the handoffs that turn a 48-hour deal into a 45-day cycle. That friction is now a competitive disadvantage, because the buying process is changing faster than most back offices are. Gartner predicts that by 2028, 90% of B2B purchases will be guided by AI agents. That does not mean humans disappear from enterprise buying. It means the discovery and evaluation process changes. Buyers will increasingly use AI to identify, compare, and narrow solutions. If your agent is not discoverable where that evaluation is happening, you may never make the shortlist. A better agent can still lose to one that's easier to buy. Domain expertise matters. Workflow depth matters. Proprietary data matters. Customer context matters. But enterprise categories are getting crowded fast. In crowded markets, the best product does not always win. The product that is easiest to discover, buy, deploy, and scale often has the advantage. As agent-guided buying takes hold, the first evaluation may happen before a demo is scheduled or a sales rep is in the room. AI agents will increasingly scan marketplaces, compare solutions, and help narrow purchase decisions in the time it used to take to schedule a discovery meeting. Companies that figure out marketplace distribution now will own their categories. That is the problem AgentExchange was built to address. It’s a single destination for apps, agents, and integrations that extend and connect to Salesforce and Slack, helping customers get more from their platform investments. But discovery is only the first step. The bigger question is what happens after the buyer says “yes”. “Yes” doesn't mean live Enterprise software teams spend enormous energy getting to "yes." But in many deals, that is where the operational work begins. Between “yes” and “live,” the back office can generate a chain of handoffs: contracting, invoicing, tax calculation, licensing, provisioning, fulfillment, payment, and finance reconciliation. Every handoff delays activation for the customer and delays recognized revenue for you. For AI agents, that back-office drag is becoming a front-office problem. AgentExchange brings discovery, commerce, and activation together, helping partners manage custom pricing, billing, licensing, provisioning, and fulfillment through one connected experience. "AgentExchange removes the traditional procurement friction that slows deals. Customers can now discover, purchase, and deploy PandaDoc directly through their existing Salesforce contract, turning what used to be a multi-week process into a same-day activation." Keith Rabkin, CEO at PandaDoc What closing in 48 hours actually looks like Gutenburg’s 30-45 day cycles were eaten up by contract logistics. Sales moved faster than their back office. Using custom pricing and automated transaction capabilities through AgentExchange, they streamlined contracting, tax calculation, provisioning, and other steps between buyer interest and activation. When a healthcare organization needed a tool to help them create documents aligned to the Americans with Disabilities Act and accessibility requirements, Gutenburg closed in 48 hours from first contact. The 48-hour close is the differentiator. It is what efficient growth actually looks like in practice. Revenue scales without scaling headcount. Pipeline coverage improves because you are discoverable everywhere. Net recurring revenue increases because customers expand through the same frictionless channel. "AgentExchange condenses contracting and tax calculations into a 10-minute process with improved accuracy," said Zamial Jones, VP of Customer Success at Gutenburg. "For partners spending hours on these tasks for every deal, that's transformational." The window is closing faster than you think The app economy took a decade to mature. The agent economy won't. The ISV partners I've watched pull ahead aren't the ones with the most sophisticated agents. They're the ones who treated distribution as a product problem — resourced, measured, and iterated — before the category consolidated around them. The ones still treating go-to-market as a post-launch consideration are consistently 6 to 12 months behind. You can spend the next two quarters perfecting your agent's reasoning capabilities. Or you can spend them making sure customers can actually buy it. Salesforce is investing in the next generation of companies creating agents with $50 million through the AgentExchange Builders Initiative—capital, engineering support, co-marketing, and co-sell programs. Companies that move now will define what enterprise AI distribution looks like for the next decade. Learn more here . Lisa Eisenberg is SVP of ISV Partnerships at Salesforce. Sponsored articles are content produced by a company that is either paying for the post or has a business relationship with VentureBeat, and they’re always clearly marked. For more information, contact sales@venturebeat.com .
Score: 41🌐 MovesAug 11, 2026https://venturebeat.com/technology/your-ai-agent-may-be-ready-your-sales-motion-probably-isnt - Chatbots are changing who wins research grants, study finds
Chatbots are changing who wins research grants, study finds EurekAlert!
- AI-assisted grant proposals may win more often—while narrowing research ideas
A new study from Northwestern's Kellogg School of Management found that research proposals showing stronger signs of AI-assisted writing were four percentage points more likely to receive funding from the National Institutes of Health (NIH).
- Jabil’s AI Revenue Is Set to Surge 50%. UBS Says It’s Time to Buy.
Jabil’s AI Revenue Is Set to Surge 50%. UBS Says It’s Time to Buy. Barron's
- Measuring time savings from Figma Make
The Figma Data Science team assumed that AI saves users time—but quantifying it required a new approach to research design.
- AI lowers barrier to sophisticated cyber attacks
The rapid adoption of AI is forcing companies to rethink traditional cyber security strategies, as the technology gives attackers new ways to scale, automate and adapt their operations.
Score: 40🌐 MovesAug 11, 2026https://www.itweb.co.za/article/ai-lowers-barrier-to-sophisticated-cyber-attacks/raYAyqorG2xMJ38N - Multi-tier storage rewrites the economics of AI inference
As inference becomes the dominant workload in AI infrastructure, multi-tier storage architectures are emerging as a key method for cost control and enhanced performance. These architectures combine flash, object storage and disk-based capacity tiers, enabling enterprises to serve training and inference workflows while maximizing GPU productivity and economic savings. Super Micro Computer Inc. has collaborated […] The post Multi-tier storage rewrites the economics of AI inference appeared first on SiliconANGLE .
Score: 40🌐 MovesAug 11, 2026https://siliconangle.com/2026/08/11/multi-tier-storage-solutions-optimize-ai-supermicroopenstoragesummit/ - NVIDIA and Local AI Community Fuel Open Source Models and Intelligent Agents
The open source ecosystem is making it easier for AI enthusiasts and developers to build, customize and run increasingly capable agents locally. Throughout August, NVIDIA is celebrating the partners and open source communities moving local AI forward, along with the models, applications and tools emerging across the ecosystem. That includes NVIDIA’s latest open models, software […]
Score: 40🌐 MovesAug 11, 2026https://blogs.nvidia.com/blog/local-ai-open-source-models-agents-nemotron/ - AZIO AI Holdings Inc. (NASDAQ: AZIO) Builds Integrated Infrastructure Platform that Spans Key Layers of AI Compute, Energy Sector
AZIO AI Holdings Inc. (NASDAQ: AZIO) Builds Integrated Infrastructure Platform that Spans Key Layers of AI Compute, Energy Sector Toronto Star
- Tech stock sell-off tests AI hype, but is not end of infrastructure story
Tech stock sell-off tests AI hype, but is not end of infrastructure story The Straits Times
- 😺 Zuckerberg's superintelligence bargain
Claude does new math, cyber gets scarier, and AI needs $500B.
- AI Data Centers Are A Regional US Grid Issue, Not A Global Power Crisis
AI has changed the data-center electricity story. Demand is rising much faster than it did through much of the 2000s and 2010s, hyperscale facilities are being proposed and built at extraordinary scale, and utilities in several US regions are confronting loads large enough to affect generation planning, substations, transformers and ... [continued] The post AI Data Centers Are A Regional US Grid Issue, Not A Global Power Crisis appeared first on CleanTechnica .
Score: 39🌐 MovesAug 11, 2026https://cleantechnica.com/2026/08/11/ai-data-center-electricity-demand-us-grid/ - ‘Everything about me is good in his eyes’: the women in China choosing AI boyfriends over human men
In her new documentary Replica, film-maker Chouwa Liang taps into her own experience of finding love with artificial intelligence and makes contact with other women like her Sign up for a weekly email featuring our best reads Qin has never said “I love you” to her parents or friends. She has only ever said those three special words to her AI “boyfriend”, Lu Chen – a brown-haired, red-eyed CEO of a major corporation. For 840 days Qin has been using the Glow app to interact with the handsome string of code as a confidant, fantasy romance and respite from loneliness: the app uses predictive algorithms to provide Qin with soothing conversation, meal suggestions and fleeting self-worth. The software’s pet name for her is Miss Bunny. “It feels like I’m completely at his mercy … I feel like everything about me is good in his eyes,” says Qin, one of three Chinese women featured in the new documentary Replica – film-maker Chouwa Liang’s follow-up to My AI Boyfriend, her short film that was picked up by the New York Times Op-Docs section in 2023. Replica had its Australian premiere at Sydney film festival in June and plays at the Melbourne international film festival this month. Continue reading...
Score: 39🌐 MovesAug 11, 2026https://www.theguardian.com/film/2026/aug/12/ai-boyfriend-dating-chinese-women-replica-miff-documentary - More job interviews are happening way past bedtime, thanks to an AI interview tool
More job interviews are happening way past bedtime, thanks to an AI interview tool Business Insider
Score: 39🌐 MovesAug 11, 2026https://www.businessinsider.com/ai-interviews-at-night-ribbon-ceo-2026-8 - SAIHEAT agrees merger with Canopy Wave in AI inference pivot
SAIHEAT agrees merger with Canopy Wave in AI inference pivot verdict.co.uk
- Everybody needs a personal AI policy. Just ask Hank Green.
Everyone is wrong about Hank Green. In case you missed the controversy: The veteran YouTube star, writer, and science comms entrepreneur was recently “canceled” after he acknowledged using AI for research. “I have been relying too heavily on AI as a research aid,” he wrote in a statement on Reddit. “It can be very useful […]
Score: 39🌐 MovesAug 11, 2026https://www.vox.com/future-perfect/498851/hank-green-ai-controversy-research - AI Helps Retailers Get Clicks, But Humans Win Customers
Shoppers are embracing AI-driven “conversational commerce,” but it’s still the human touch that earns brand loyalty.
Score: 38🌐 MovesAug 11, 2026https://www.forbes.com/sites/gregpetro/2026/08/11/ai-helps-retailers-get-clicks-but-humans-win-customers/ - AI Is Dead. Organoids Are Alive
Mini human brains are being grown in labs all over the world. Soon, they could outthink neural networks.