AI News Archive: July 25, 2026 — Part 3
Sourced from 500+ daily AI sources, scored by relevance.
- Agentic Transformation Pitfall: The Confident, Wrong Answers
AI agents can produce confident but incorrect answers without the right context. See how certified data, AI Skills, and Tableau MCP improve answer accuracy.
- Focusing on the moments that matter with WaveSSM - MBZUAI
Focusing on the moments that matter with WaveSSM MBZUAI - Mohamed bin Zayed University of Artificial Intelligence
Score: 31🤖 ModelsJul 25, 2026https://mbzuai.ac.ae/news/focusing-on-the-moments-that-matter-with-wavessm/ - AI Industry Red & Yellow Flags
There have been a number of red and yellow flags for AI companies and the AI industry lately. I’m going to run through a few of them here. OpenAI Many people use AI chatbots, but the free versions. Getting enough revenue through subscriptions is one way AI companies could cover ... [continued] The post AI Industry Red & Yellow Flags appeared first on CleanTechnica .
- Building Self-Evolving AI Agents with OpenSpace Using Skills, MCP, Lineage, and Low-Cost Reuse
Building Self-Evolving AI Agents with OpenSpace Using Skills, MCP, Lineage, and Low-Cost Reuse MarkTechPost
- Has AI become too powerful to control?
Developers are struggling to reliably control these powerful models and ensure they perform intended tasks. Other similar incidents have also been reported, highlighting ongoing challenges in AI safety.
- How AI is becoming part of the American family
AI's impact on American life isn't just at work . It's also at home, where it's helping with dinner and bedtime, learning our routines, overhearing arguments and never clocking out. Why it matters: The AI debate has largely focused on jobs and productivity . But a quieter shift is unfolding at home , where AI is also evolving from an on-demand assistant into an always-on presence that remembers, anticipates and increasingly acts like a member of the family. "The barriers to entry for families — in terms of cost and technical knowledge — are next to nothing," Sarah Dooley , founder of AI-Empowered Mom and author of an upcoming book on the topic, told Axios. "With lower barriers and adoption moving at lightning speed, impact and risks for families are often high." State of play: Domestic AI is already entering family life in several forms. The New Yorker recently profiled an Ohio mother and her two teen daughters whose relationships with AI ranged from household logistics to emotional support. The mother confided in an increasingly conversational Alexa, one daughter regularly talked to ChatGPT, and the other briefly opened up to a mental health chatbot, Tomo. The Cut profiled Jesse Genet — a former startup CEO and a mom to a blended family of seven kids — whose expanding staff of AI agents shops for groceries, helps run her children's homeschooling schedule and handles legal and financial paperwork. Last week, Bloomberg reported that OpenAI's first hardware device will be a screen-free, mobile smart speaker built to be a "humanlike AI companion that lives in the home." Zoom out: This trend goes well beyond the smart speaker wave of a decade ago. Earlier systems were often reactive and needed a command. The next generation of domestic AI can remember conversations, infer household patterns and adapt to individual family members. By the numbers: 81% of parents have used AI to help with parenting tasks, a Lurie Children's Hospital survey published in May found. Pew Research has found 64% of U.S. teens use chatbots, mostly for research and schoolwork, followed by fun and entertainment. Between the lines: The home may become AI's most intimate and least governed environment. Workplaces and schools are only just beginning to set formal guardrails around the technology. The unit of impact is often the family, not the individual users," Daniel Zhang , chief of staff at the Stanford Institute for Human-Centered Artificial Intelligence, told Axios. "If one person chooses to engage with AI, the presence of that device or the model affects everyone in the household." But the effects depend heavily on how and where the technology is used. "It's hard to make broad claims because there's so much that matters in the details for these kinds of things," Anne Maheux, a developmental psychologist at UNC Chapel Hill who studies adolescents and AI, told Axios. For children especially, access, privacy and physical space matter. An AI device used openly in the kitchen is different from a chatbot a child accesses "privately in their bedroom," and both are different from a school computer that stays at school, Maheux said. For teens, AI can remove some of the friction involved in learning to navigate other people, uncertainty and conflict. Adolescence is a "particularly sensitive period" for developing social-emotional skills, Maheux says. The stakes are different from an adult outsourcing a skill they already have. What to watch: Nobody — not researchers, lawmakers, CEOs, parents or influencers — fully understands what it means to let AI into the most private parts of our daily lives. As Dooley points out, even free or low-cost AI comes with a complicated price tag: "We are paying with our data, with our stories, with our privacy." The bottom line: The office may be where AI changes the economy, but the home is where it could change us.
- Which AI model is the best stock trader? A finance professor says he's got the answer.
Which AI model is the best stock trader? A finance professor says he's got the answer. Business Insider
Score: 30🌐 MovesJul 25, 2026https://www.businessinsider.com/best-ai-for-trading-stocks-deepseek-claude-chatgpt-grok-2026-7 - Librarians are hosting viral ‘Avoiding AI’ workshops for people who are fed up with Big Tech
At libraries around the country, "Avoiding AI" workshops have elicited unprecedented demand.
- The AI jobs apocalypse probably isn’t coming anytime soon
Artificial intelligence may not deliver on its promise of vast economic opportunity at a price that humanity is willing to pay In March, Anthropic, the cutting-edge artificial intelligence business that gave us the chatbot Claude, published an analysis on the impact of AI on employment, to help us assess the claim that intelligent robots were about to redefine human existence, ending demand for human labor. Last year in May, Anthropic’s co-founder, Dario Amodei, claimed AI could wipe out half of all entry-level jobs in one to five years. Last January, he told us AI would probably become a “general labor substitute for humans”. In June he said we risk “a world where the economic trade-off dial is stuck on the hypergrowth, hyper-inequality setting”. Continue reading...
Score: 28🌐 MovesJul 25, 2026https://www.theguardian.com/technology/2026/jul/25/ai-jobs-apocalypse-human-labor - OpenAI hit by another outage as ChatGPT, Codex, and APIs stumble together
OpenAI’s status page reported elevated error rates across its APIs, ChatGPT, and Codex on Saturday, marking the fourth service disruption in four days for the company. Users encountered 503 errors with the internal label “biscuit_baker_service_me_circuit_open,” which prevented requests from reaching OpenAI’s servers. The company moved from investigating to monitoring within an hour, saying it had […] This story continues at The Next Web
- Meet the IFS officer using AI to tell farmers what trees to plant and where
Meet the IFS officer using AI to tell farmers what trees to plant and where
- iCode Bringing Unitree R1 EDU Humanoid Robots to 16 Campuses for New Youth Innovation Program
iCode Bringing Unitree R1 EDU Humanoid Robots to 16 Campuses for New Youth Innovation Program azcentral.com and The Arizona Republic
- Rovo AI Vendor Concern – Anthropic Supply Chain Risk Designation
Rovo AI Vendor Concern – Anthropic Supply Chain Risk Designation Atlassian Community
- Georgia Tech AI Safety Initiative Retrospective 2025-2026
Summary AY 2025-26 was an outlier year for Georgia Tech’s AI Safety Initiative (AISI), with 15+ members placed in AI safety roles. In this post, we distill our most important advice for other university groups. Key takeaways: Deliberately identify potential talent in the fellowship, heavily invest high-context organizer time in great people. 1:1s are probably your most neglected tool. Being professional and punctual is underrated. In this post, we'll share general lessons we've learned from organizing that can hopefully be applied to other AI safety groups. We're still running many of the same initiatives as before — fellowships, reading groups, research projects, and general meetings — but we think we've gotten higher quality members and had more organizational success compared to the previous academic year. Since our last update , more than 15 members have been placed in paid fellowships & full-time roles. We’ve accepted 150+ people into our fellowships and grown to 50–100 active members. Part 1: Activity Breakdown and Stats Intro fellowships Our intro fellowships continue to be our most impactful offering. They’re how we find talented, dedicated members. Our Spring acceptance rate was much higher than the Fall’s due to a higher volume of applications in the Fall. Because selection is noisy, we recommend running more fellowships rather than fewer (conditional on promising applicants). We missed out on several great applicants in Fall because we were capacity constrained, and we cannot be sure that the same hasn’t happened in the Spring. Statistics: Applicant demographics, divided between technical and policy. Fall Technical: 150 applications of which 67 undergrad, 34 master's, 20 PhD, 29 non-students Technical: ~58 accepted of which 18 undergrad, 18 master's, 9 PhD, 13 non-students | 28 in-person, 30 online Policy: 94 applications of which 19 undergrad, 29 master's, 8 PhD, 38 non-students Policy: ~22 accepted of which 5 undergrad, 5 master's, 3 PhD, 9 non-students | 5 in-person, 17 online Spring Technical: 88 applications, of which 50 undergrad, 29 master's, 6 PhD, 3 non-students Technical: 68 accepted of which 38 undergrad, 22 master’s, 6 PhD, 2 non-students | 50 in-person, 18 online Policy: 27 applications, of which 15 undergrad, 7 master’s, 2 PhD, 3 non-students Policy: 21 accepted, of which 9 undergrad, 7 master’s, 2 PhD, 3 non-students | 11 in-person, 10 online Rough attendance stats, measured as ending cohort size as a percent of starting cohort size 85% attendance for policy 50% attendance for technical Feedback form results Fellow engagement was mixed – many stopped showing up or doing readings completely; others were extremely engaged. Cohort sizes often get too small and rarely get too large. Sweet spot seems to be 5-6 so best initial sizing is probably 10-12 for technical and 6-8 for policy See our technical and policy syllabi. Speaker Events We ran 5 speaker events in Fall, 3 in Spring. We are the biggest AI safety organization in Atlanta, providing a home for safety-minded individuals around the city. We had a median of ~45 in-person attendees and ~10 remote attendees in Spring. We were able to find speakers through multiple routes: personal networks, alumni connections, Georgia Tech professors, networking events (OASIS, Action Potential, Global Challenges Project, etc.), and cold-emails. Speaker events not only increase visibility but create a scenario that feels low-stakes for people to come up to organizers and ask questions. Placements Our members secured external opportunities including MATS, Astra, METR, Anthropic Fellow, IAPS, ERA, Pivotal Fellowship, Horizon Fellow, CG grant(s), GA House of Reps, American Enterprise Institute, Meta Alignment Team and many SPAR streams. Other activities Graduate student focused empirical reading group ~8 average attendance with ~5 regulars 1 research project/extension birthed. Faculty engagement: we had 1:1s with ~8 new professors, which has led to: Setting up several new projects including a collaboration with Goodfire, and interpretability work on AlphaFold. Getting verbal commitments from 6+ faculty to contribute to an institutional research center for AI safety, and a go-ahead from the College of Computing Dean. Acquiring a dedicated conference room for coworking and fellowship for free! Two trips for high-potential members and organizers: Policy-focused Washington DC trip (partially organized by GT AISI) ControlConf in Berkeley Two-hour ARENA-style technical workshop dedicated to AI security (attended by 22 safety fellows) A “mixer” with another professional-oriented organization. Overall it did not lead to productive collaboration, and we are moving away from spending time on socials without a specific purpose Part 2: Positions and Takes In rough order of importance. Build around exceptional people Focus on a few highly motivated and agentic members. It takes frequent contact for someone to consider switching career paths. With finite organizer time for efforts beyond the fellowship it's better to invest in quality individuals rather than casting a wide net. Almost everyone in AISI who has completed competitive fellowships or is likely to work in AI safety long-term expressed interest in AI safety early on. Operationalized: Invest in high-potential people deliberately: refer them to opportunities, recommend them to research projects, send them to workshops, and tell them you think they would be good organizers. Raising ambitions is often a self-fulfilling prophecy. Signals of high potential include: Impressive feats within their own fields. Ability to update world models and re-plan in light of new evidence. Clear, first principles, strategic thinking, being aware of uncertainties. Reliability and dedication to their work. We have a big-little system where new team members are paired with experienced organizers for weekly/biweekly 15-30 min 1:1s. If you're not super well resourced, prioritize having fewer motivated people rather than many uninterested members. Have more 1:1s 1:1s are probably your most underused tool. 1:1s with fellow organizers — this is a great way to build a core group and create an environment for AI safety discussion. Many AI safety groups seem fragmented in that core organizers don't know a lot about each other’s interests and plans, and this may hurt coordination, information sharing, and tight feedback loops. We specifically recommend a big-little system to help onboard new organizers. 1:1s with new people and intro fellows — for someone to conclude that they should change their default career trajectory, they need to do more than read blogs and listen to speakers. Everyone has a different model of the world and perception of AI safety. 1:1s help you figure out what is going on with them and open up space for mentorship and personalized career advice. AISI leadership probably has ~four 1:1s with new folks every week in total. Three major success stories that came from 1:1s. Yixiong went to a dinner with Parv on a random Tuesday night and quickly onboarded him as an organizer over the coming week. Parv did the Astra fellowship and is now Chief of Staff at METR. Parv and Yixiong had a ‘1:1’ with Glenn to hear out his research. This turned into sustained dialogue and Glenn is now on MATS extension, starting a new org around data attribution for LLM personas. Andrew got introduced to AISI through a personal friendship with Yixiong and a pizza 1:1 with Ayush. Professionalism is still underrated Building a brand is important, and the ceiling for good marketing is quite high. There is a lot of competition for the attention of university students. For students to consider switching away from default, prestigious paths, your group needs to pattern-match to the same level of professionalism and impressiveness they expect from top-tier opportunities. If your marketing has typos, if your elevator pitch is unconvincing, if your QR code doesn't work, if your food doesn't show up, if your meeting is chaotic and poorly designed, people might lose interest without even getting involved in the club. For people to take your claims seriously, you need to show that you are serious. Concretely: Be detail-obsessed with anything public facing. Avoid typos and awkward phrases. Dress well and prepare talking points in advance for club fairs and talks. Emails to important people should be reviewed by another person. Your marketing should be everywhere, especially at the start of the year when people join new clubs the most. Figure out what mailing lists you can occupy, where you can put posters, etc. Do analytics to understand what works best. Be conscientious about operations. Events should start on time. Food should be there when you say it will. Fellowship decisions should come back promptly. Always have a call to action. After every meeting, every event — what should members do next? Leverage low-context organizers while helping them develop context There are a lot of operational tasks that ideally should never be touched by high-context organizers. Your research lead shouldn't be filling out finance spreadsheets. Your policy lead shouldn't be handling the logistics of fellowship applications. Doing ops work well is a strong signal for generalist fieldbuilder qualities. We currently run a two-week work-trial with an initial cohort, then select those who clear the bar. So far, this has been working well because it gives us signal that you can scarcely get from applications and interviews: How fast they are at responding and completing tasks. Conscientiousness and agency. Whether they work well with the team. Whether they care enough about the mission to put in real hours. Part 3: What We’d Do Differently Speaker Events There are several improvements we could have made to our speaker events. Most boil down to doing the obvious things in a timely manner. Get logistics and speakers sorted around 6 weeks in advance, to avoid venue and catering-related challenges. Cold emailing speakers 2-3 months in advance, so they have time to find an availability in their schedule. Get talks that focus more on strategy and motivate the case for ‘why AI safety’ Some of our talks were explainers of technical papers our invited speakers worked on — however, these were hard for audiences to understand and very narrow in scope. Changes to the Fellowship Fellowships often suffered from people not doing the required readings. We are considering moving readings back in-session and increasing the duration of each session — this has been recommended by other organizers. We are modifying our curriculum to focus more on strategy and motivating AI safety instead of diving deep into technical problems and papers. We’re prioritizing in-person fellowships since engagement seems easier to maintain. We’re setting up intra-fellowship socials between the second and third session where the AISI organizer takes the cohort out to a coffee shop and has unstructured discussion. Post-Fellowship Involvement We’ve historically struggled with getting fellowship graduates who didn’t end up joining our team to do meaningful research. Folks generally do not yet meet the bar for MATS-type fellowships and there is a lack of faculty that work on problems in AI safety. There’s no ‘obvious next thing’ to do. To solve this, we’ve tried: Giving project ideas, sorting people into teams, and being mentors ourselves. Only two out of 6 such projects are expected to have a publishable outcome, but both took way longer than the ideal timeline. The main failure mode was a self-reported lack of time from participants and AISI managers. This setup also did not select the best people because it is low-friction to say yes first and then slack off later. We got people to read the SPAR projects page, pick a few mentors, propose ideas & followups, do 1-2 week research sprints — and we offered to help them reach out for external mentorship. However, no fellows independently pursued projects after this. This is a problem we’re still attempting to resolve. At some point, people will need to be agentic to contribute to AI safety. We’re not sure this is a problem worth solving — it may be a feature, not a bug! Deprecated Rapid Upskilling Cohorts We decided to axe our rapid upskilling cohorts. These were ARENA-style accountability groups, where we provided mentorship upon request. Out of the ~40 participants, only 2 still work with us. A demanding curriculum just cannot be hosted in a low contact way. Solution: We have pivoted to hosting 2-3 hour, self-contained, sub-field specific workshops (shoutout Meru!) and helping ARENA develop bite-sized notebooks for sub areas such as LLM attacks & defenses, emergent misalignment, evals, etc. This is much less costly and achieves similar outcomes for motivated individuals. If you're building a university AI safety group and want to talk, reach out . We're happy to share more specifics on curriculum, fellowship pipelines, or institutional strategy. Discuss
Score: 27🌐 MovesJul 25, 2026https://www.lesswrong.com/posts/DgLGD3A5CZXH7hbzP/georgia-tech-ai-safety-initiative-retrospective-2025-2026 - ‘Create change:’ Why these Indigenous entrepreneurs are leaning into AI
‘Create change:’ Why these Indigenous entrepreneurs are leaning into AI Toronto Star
- Datalab Marker v2 vs MinerU, Docling, and Liteparse: Benchmark Breakdown
Datalab Marker v2 vs MinerU, Docling, and Liteparse: Benchmark Breakdown MarkTechPost
Score: 26🌐 MovesJul 25, 2026https://www.marktechpost.com/2026/07/24/datalab-marker-v2-vs-mineru-docling-and-liteparse-benchmark-breakdown/ - I Thought Deploying AI Was a Technical Problem. It Exposed Every Gap in How I Was Running My Company.
I Thought Deploying AI Was a Technical Problem. It Exposed Every Gap in How I Was Running My Company. entrepreneur.com
Score: 26🌐 MovesJul 25, 2026https://www.entrepreneur.com/leadership/i-thought-deploying-ai-was-a-technical-problem-it-exposed/504589 - ‘I thought, I’ve tried everything else, why not give AI a shot?’: the long-lost family reunited by ChatGPT
Avtar spent decades wondering what happened to the mother he never got to know. Thousands of miles away, Nicci was haunted by the story of a half-brother given away before she was born. How did a chatbot bring them together? As a small boy growing up in Amritsar, India, in the 1960s, Avtar Singh used to hear whispers. Your mum isn’t really your mum , the rumours would say. Your mum lives abroad. Avtar didn’t really pay any attention to it. “I thought, the neighbours are just making up stories.” But the stories were true: the woman raising Avtar was actually his grandmother. When he was too young to remember it, his father had emigrated to Canada to work as a teacher, leaving Avtar in the care of his paternal grandparents. His grandfather, a police officer, was a fearsome authoritarian, but his grandmother brought him up with tenderness, as if he were her own son. She called him by his nickname, Titu. He felt loved. When Avtar was around eight years old, he was told about his family in Canada: his dad, his mum and a little brother were waiting for him there, and he would soon travel to join them. Just after his ninth birthday, Avtar found himself sitting on a plane, dressed in a three‑piece suit and tie. He was travelling alone. He had never flown before. He didn’t speak a word of English. He landed in Halifax, Nova Scotia, on Christmas Eve, 1968; his family met him at the airport and took him home. “I didn’t know what to think,” Avtar, now 66, tells me in a video call from his home in Abbotsford, British Columbia. “Before I knew it, it was the first week of January, and I was put in school.” Continue reading...
- I dreamt of building rockets until my aunt's illness inspired me to build an AI startup that's raised nearly $10 million
I dreamt of building rockets until my aunt's illness inspired me to build an AI startup that's raised nearly $10 million Business Insider
Score: 25💰 MoneyJul 25, 2026https://www.businessinsider.com/aerospace-engineer-turned-ai-founder-waterlily-healthcare-long-term-care-2026-7 - I've worked as a software engineer for 14 years. AI could cut junior jobs — but not the need for experienced engineers.
I've worked as a software engineer for 14 years. AI could cut junior jobs — but not the need for experienced engineers. Business Insider
Score: 25🌐 MovesJul 25, 2026https://www.businessinsider.com/software-engineer-ai-tools-could-reduce-junior-engineering-tech-jobs-2026-7 - AI is amplifying the value of IT Asset Management: Mayank Srivastava on the future of enterprise IT
Exclusive interview with Mayank Srivastava, Managing Director, Silver Leaf Solutions The post AI is amplifying the value of IT Asset Management: Mayank Srivastava on the future of enterprise IT appeared first on Express Computer .
- Big win for OpenAI; A tail of promise
Big win for OpenAI; A tail of promise YourStory.com
- Safe and Stable Neural Network Dynamical Systems for Robot Motion Planning
Safe and Stable Neural Network Dynamical Systems for Robot Motion Planning irep.mbzuai.ac.ae
Score: 24🌐 MovesJul 25, 2026https://irep.mbzuai.ac.ae/server/api/core/bitstreams/f1a4577e-0f3a-4508-a834-88f8669934ff/content - How AI, Space and Technology Are Redefining the Workplace
By Vamsidharr Setty The workplace is undergoing one of the most significant transformations in its history. While previous generations witnessed the shift from factories to offices and from paper to digital workflows, today’s change is far more profound. The convergence of artificial intelligence (AI), intelligent spatial design, and advanced workplace technologies is fundamentally redefining where, […] The post How AI, Space and Technology Are Redefining the Workplace appeared first on CXOToday.com .
- The Messi Test and how the Spaniards messed with it: what the World Cup final taught me about the jobs AI can't touch
The Messi Test and how the Spaniards messed with it: what the World Cup final taught me about the jobs AI can't touch Fortune
Score: 22🌐 MovesJul 25, 2026https://fortune.com/2026/07/25/world-cup-messi-test-spain-ai-jobs-disruption/ - Canadian politician appears to read AI prompt during speech
Canadian politician appears to read AI prompt during speech thenationalnews.com
Score: 22🌐 MovesJul 25, 2026https://www.thenationalnews.com/video/T5h248Xd/canadian-politician-appears-to-read-ai-prompt-during-speech/ - Professor Hides White Font in Midterm, Catches Students Using AI in the Stupidest Way Possible
"Thirty-two of my 35 students between two classes failed a portion of their midterm because they all used AI to generate their entire response." The post Professor Hides White Font in Midterm, Catches Students Using AI in the Stupidest Way Possible appeared first on Futurism .
Score: 22🌐 MovesJul 25, 2026https://futurism.com/future-society/professor-hides-white-font-ai-cheating - When AI hallucinates aliens: Some think NASA should be nervous
Scientists trick AI into spotting fake alien life, exposing risks as NASA plans to use machine learning on real space missions.
- Preparing the workforce for agentic AI and autonomous systems
Preparing the workforce for agentic AI and autonomous systems YourStory.com
Score: 20🌐 MovesJul 25, 2026https://yourstory.com/2026/07/preparing-the-workforce-for-agentic-ai-and-autonomous-systems - I tried out OpenAI’s new AI keypad — which will be fun for some coders and slightly mystifying to everyone else
OpenAI's fancy new AI keypad will be a lot of fun for some, while many others are probably not going to touch it.
- Use ChatGPT, Claude, Gemini, and More in One Tab With a Single $58 Purchase
Use ChatGPT, Claude, Gemini, and More in One Tab With a Single $58 Purchase PCMag
Score: 19🌐 MovesJul 25, 2026https://www.pcmag.com/deals/use-chatgpt-claude-gemini-and-more-in-one-tab-with-a-single-58-purchase - How to run B2B GTM when your buyer asks ChatGPT first
How to run B2B GTM when your buyer asks ChatGPT first YourStory.com
Score: 18🌐 MovesJul 25, 2026https://yourstory.com/2026/07/how-to-run-b2b-gtm-when-your-buyer-asks-chatgpt-first- - AI Is Quietly Creating Millionaires — and Here's Exactly How to Copy Them (No Staff, No Code)
AI Is Quietly Creating Millionaires — and Here's Exactly How to Copy Them (No Staff, No Code) entrepreneur.com
- Santa AI TOEFL Unveils AI Tutor and Updated Content for the 2026 TOEFL
Santa AI TOEFL Unveils AI Tutor and Updated Content for the 2026 TOEFL USA Today
- Quote of the day by Vladimir Putin on AI: 'Whoever becomes the leader in this sphere will become the ruler of the world' — an outlook on geopolitical dominance
The long-serving Russian president has long seen AI as the pathway to dominance in the next era of humankind
- Designed for the Teacher: How NUS Computing Students Built an AI Tool That Makes Personalised Feedback Scalable
Designed for the Teacher: How NUS Computing Students Built an AI Tool That Makes Personalised Feedback Scalable NUS Computing
- DropPR.ai Publishes Guidance on Answer Engine Optimization for Brands Navigating AI Search
DropPR.ai Publishes Guidance on Answer Engine Optimization for Brands Navigating AI Search USA Today
- New to ChatGPT Work? These 7 prompts turn it into a personal assistant
New to ChatGPT Work? These 7 prompts turn it into a personal assistant Tom's Guide
Score: 15🌐 MovesJul 25, 2026https://www.tomsguide.com/ai/chatgpt/new-to-chatgpt-work-these-7-prompts-turn-it-into-a-personal-assistant - New Parody Site Threatens to Replace CEOs With AI for Tiny Fraction of Their Bloated Salaries
"Introducing the world's first Chief Executive Replacement Engine." The post New Parody Site Threatens to Replace CEOs With AI for Tiny Fraction of Their Bloated Salaries appeared first on Futurism .
Score: 15🌐 MovesJul 25, 2026https://futurism.com/artificial-intelligence/website-overpaid-ai-replace-ceos-executives-labor - PsyFi Launches AI Financial Wellness App on iOS and Android, Bringing Behavioral Finance Coaching to Everyday Money Decisions
PsyFi Launches AI Financial Wellness App on iOS and Android, Bringing Behavioral Finance Coaching to Everyday Money Decisions USA Today
- 🧠 Community Wisdom: Staying on a client’s radar during pilot purgatory, pairing Linear with a discovery tool, the limits of what AI can automate, whether Techstars is worth it, and more
Community Wisdom 194
Score: 15🌐 MovesJul 25, 2026https://www.lennysnewsletter.com/p/community-wisdom-staying-on-a-clients - DropPR.ai Helps E-Commerce and DTC Brands Prepare for AI-Driven Shopping Search
DropPR.ai Helps E-Commerce and DTC Brands Prepare for AI-Driven Shopping Search USA Today
- DropPR.ai Outlines Practical Steps for Brands Seeking AI Search Citations
DropPR.ai Outlines Practical Steps for Brands Seeking AI Search Citations USA Today
- AleynRay.ai Launches Free AI Paragraph Rewriter for Students, Writers and Everyday Editing
AleynRay.ai Launches Free AI Paragraph Rewriter for Students, Writers and Everyday Editing azcentral.com and The Arizona Republic
- Transportvibe to Launch AI-Powered Shipping Assistant, Secure Booking and TrustScore Ratings
Transportvibe to Launch AI-Powered Shipping Assistant, Secure Booking and TrustScore Ratings USA Today
- Build a complete website with AI using this limited-time Hostinger deal
Hostinger's Website Builder plans start at $2.69 per month with a limited-time deal — build a site with AI, get a free domain, and save up to 82% off regular pricing.
- Funny Side Up: Musk’s Grok Odyssey, Invisible Drones and ChatGPT’s Faith Healing
Our weekly AI fun and frolic turned filmy this time. Seen Christopher Nolan’s Matt Damon movie The Odyssey yet? If not, better watch it soon as Elon Musk has promised to deliver a full-length version of the movie via Grok for those of us who are allergic to progressive ideas. Yes, Musk believes Nolan has […] The post Funny Side Up: Musk’s Grok Odyssey, Invisible Drones and ChatGPT’s Faith Healing appeared first on CXOToday.com .
- Hate the Copilot Key? Here's How to Disable It Completely
Hate the Copilot Key? Here's How to Disable It Completely PCMag
Score: 12🌐 MovesJul 25, 2026https://www.pcmag.com/news/hate-the-copilot-key-heres-how-to-finally-turn-it-off - Marketing engineer Paul Andre de Vera launches QueryFanOuts, a free query fan-out tool for AI-search content planning
Marketing engineer Paul Andre de Vera launches QueryFanOuts, a free query fan-out tool for AI-search content planning USA Today
- Smarfle CRM Founder Expands AI Business Platform for Service Companies
Smarfle CRM Founder Expands AI Business Platform for Service Companies USA Today