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McDonalds released its earnings report for the first quarter of 2025 early this morning. According to the report, U.S. comparable sales decreased by 3.6% from the previous year, primarily driven by reduced guest counts. This is the fast food giant’s largest U.S. sales drop since the second quarter of 2020, when U.S. sales plunged 8.7% during the height of the COVID-19 pandemic. ‘Grappling with uncertainty’ The fast food retailer reported that U.S. store revenue dipped to $5.96 billion, below a Bloomberg consensus estimate of $6.12 billion cited by Yahoo Finance. In the earnings report, McDonald’s CEO Chris Kempczinski noted that “Consumers today are grappling with uncertainty.” Chicago-based McDonald’s said adjusted earnings per share were $2.67. The earnings report also indicated that global sales fell 1.0%, with the most notable decline in sales in the U.K. McDonald’s shares (NYSE: MCD) were down 1.53% in early-afternoon trading on Thursday following the report. The stock is up 7.71% year to date. Fast food embracing value meals amid consumer caution Consumers appear to be tightening their spending due to economic uncertainty, likely not helped by President The President’s broad tariffs and erratic trade policies, which have made people anxiousness about increased costs and a possible recession. In this morning’s earnings call, Kempczinski warned, “we’re not immune to the volatility in the industry or the pressures that our consumers are facing.” McDonald’s menu prices have notably risen along with inflation in recent years, leading to customer backlash. More recently, however, the fast food retailer has attempted to increase customer traffic by releasing new menu items and promoting value-focused deals. Recent discount deals include the McValue menu, which features buy one, add one for $1 items, and $5 Meal Deals. Other fast-food chains have made similar moves to boost sales. Meanwhile, the burger giant plans to continue to offer meal deals like this, according to McDonald’s CFO Ian Borden. “While we may adjust our current McValue offerings over time,” Borden said on the earnings call, “for the remainder of 2025, we’ll continue to include everyday value meal deals starting at $5 given how the current $5 meal deal in particular has resonated with customers.” View the full article

Kohl’s has terminated its new CEO Ashley Buchanan after an investigation determined that he directed the retailer to engage in vendor transactions that involved undisclosed conflicts of interest. Kohl’s named Chairman Michael Bender as interim CEO, effective immediately. In connection with the appointment, Bender will step down as a member of the board’s audit, compensation and nominating and environmental, social and governance committee, according to the retailer’s regulatory filing. The news comes nearly four months after Buchanan, who had been previously the CEO of arts and crafts chain Michaels, took over the job on January 15. Buchanan’s appointment marks the third CEO for Kohl’s in three years as the department store struggles to reverse sluggish sales. Kohl’s said Thursday that Buchanan’s firing is unrelated to its performance, financial reporting, results of operations and did not involve any of its other employees. Kohl’s will conduct a search for a permanent CEO and said it will name a new chair in due course. The company couldn’t be immediately be reached for comment. Buchanan didn’t immediately return a message sent to his LinkedIn account. According to the Securities and Exchange Commission filing, Buchanan’s termination follows a probe conducted by outside counsel and overseen by the board’s audit committee. It found Buchanan had directed that Kohl’s conduct business with a vendor founded by an individual with whom Buchanan has a personal relationship on “highly unusual terms favorable to the vendor” and that he also caused Kohl’s to enter into a multimillion-dollar consulting agreement with the same individual who was a part of the consulting team. It also found that in neither case did Buchanan disclose this relationship as required under Kohl’s code of ethics. In connection with his termination and in accordance with the terms of his equity award agreements, Buchanan will forfeit all equity awards he received from the company, including the recruitment awards made as of January 15, according to the filing. Buchanan will also be required to reimburse Kohl’s for a pro rata portion of his signing incentive in the amount of $2.5 million, according to the documents. As a result of Buchanan’s termination, the board has determined to withdraw his nomination for election as a director of the company at the company’s annual shareholders’ meeting to be held on May 14. Buchanan had succeeded Tom Kingsbury, who stayed on as an adviser and is retaining his position on Kohl’s board until his retirement next month. Kingsbury served as Kohl’s interim CEO in December 2022 and was named its permanent leader in February 2023. The firing comes at a time when Kohl’s, which operates 1,600 stores across the country, is wrestling with sluggish sales. Its middle-income shoppers have pulled back on discretionary spending in the face of still-high prices for necessities. It’s also faced stiff competition from Walmart and Amazon, which have been improving their fashion offerings at affordable prices. And like other retailers, it is confronting uncertainty surrounding President Donald The President‘s expansive tariffs. On Thursday, Kohl’s offered a preliminary look at sales and profits for the current quarter that showed continued weakness, though the expected results are on track to beat Wall Street estimates. It said that it expects to report a decline in comparable sales—those coming from established physical stores and online channels—in the range of 4.3% to 4%, and a loss of 24 cents to 20 cents per share for the fiscal first quarter. Analysts expected earnings per share loss of 54 cents and a drop in comparable sales of 6.4%, according to FactSet. It expects to report final fiscal first-quarter results on May 29. Shares of the company, based in Menomonee Falls, Wisconsin, rose nearly 9% in late morning trading. —Michelle Chapman and Anne D’Innocenzio, AP business writers View the full article

US intelligence agency seeks to woo prospective assets with the offer of ‘a better life’View the full article

Hackers target luxury department store group after Marks and Spencer and the Co-op View the full article

From The President Tower to the Vatican: inside the tortuous dealmaking to link Ukraine’s resources to US supportView the full article

Google started placing ads inside chat conversations with some third-party AI assistants, according to a Bloomberg report, marking another step in its push to monetize AI-powered search alternatives. Driving the news. Google’s AdSense network — traditionally used for placing ads in search results and across websites — is now running ads within chatbot interactions, according to people familiar with the rollout. The company reportedly began testing the feature earlier this year with conversational AI search startups iAsk and Liner. A Google spokesperson confirmed that AdSense is available “for websites that want to show relevant ads in their conversational AI experiences.” Why we care. Google’s move brings targeted advertising into a new, fast-growing channel: AI chatbots. As users increasingly turn to conversational AI for answers instead of traditional search, placing ads in these interactions ensures brands stay visible where attention is shifting. This also opens up new, highly contextual ad formats that could deliver better engagement and insights than standard web placements. The big picture. AI chatbots like ChatGPT, Claude, and Perplexity are reshaping how people get answers online – a space historically dominated by Google Search. Google has responded by integrating its own large language models into products like Gemini and Search. Last year, it began including ads in its AI-generated overviews on Search results pages. Between the lines. By partnering with AI startups, Google can capture ad revenue regardless of who owns the search experience. Liner tailors a small number of ads to longer user queries, a model CEO Luke Jinu Kim likens to an “early version of Google search ads.” iAsk places ads below AI-generated answers before prompting follow-up questions. Yes, but. AI-driven platforms often see lower click rates – a challenge for advertising models built on volume and engagement. Still, research-heavy use cases like Liner’s may offer more targeted opportunities for brands. What to watch. Whether users find ads in AI chats useful or intrusive, and how Google balances monetization with user trust in an evolving AI search landscape. View the full article

For the second time in recent months, the Food and Drug Administration is bringing back some recently fired employees, including staffers who handle travel bookings for safety inspectors. More than 20 of the agency’s roughly 60 travel staff will be reinstated, according to two FDA staffers notified of the plan this week, who spoke on condition of anonymity to discuss confidential agency matters. Food scientists who test samples for bacteria and study potentially harmful chemicals also have been told they will get their jobs back, but have yet to receive any official confirmation. The same uncertainty hangs over employees who process agency records for release to lawyers, companies and journalists under the Freedom of Information Act. About 100 of those staffers were recently eliminated, according to an agency official with direct knowledge of the situation. But in recent days the FDA has missed multiple court-ordered deadlines to produce documents, which could result in hefty fines. That’s prompted plans to bring back a significant number of those staffers. The apparent reversals are the latest examples of the haphazard approach to agency cuts that have shrunk FDA’s workforce by an estimated 20%, or about 3,500 jobs, in addition to an unspecified number of retirements, voluntary buyouts and resignations. In February, the FDA laid off about 700 provisional employees, including food and medical device reviewers, only to rehire many of them within days after pushback from industry, Congress and other parties. The Department of Health and Human Services hasn’t detailed exactly which positions or programs were cut in the mass layoffs. FDA Commissioner Marty Makary has repeatedly said that no FDA scientists were fired as part of the reductions. But at least two dozen food scientists who worked in a San Francisco testing laboratory and a Chicago research center were let go in March. An HHS spokesperson suggested the apparent mix-up was due to “the fractured, outdated HR infrastructure we inherited from the Biden administration and are now actively overhauling.” The spokesperson did not respond to specific questions about which employees are being reinstated but said the administration will “streamline operations and fix the broken systems left to us.” About 15 scientists working in FDA’s Division of Food Processing Science and Technology in Chicago were told last week they be will reinstated, according to a staffer who spoke on condition of anonymity to discuss confidential agency matters. But a week later there has been no written confirmation and the scientists have not returned to the office. The group’s research includes studying ways to prevent harmful bacteria from growing on produce and preventing the spread of microplastics and other particles from food packaging. “I hope Commissioner Makary continues to assess these ill-informed cuts and works to bring back impacted employees expeditiously,” said Susan Mayne of Yale University, the FDA’s former food director. “His legacy as commissioner is on the line.” With more than 15,000 employees remaining across various U.S. and foreign offices, the FDA’s core responsibilities are reviewing new drugs, medical products and food ingredients as well as inspecting thousands of factories. Makary has said no inspectors or medical reviewers were fired as part of the recent reductions. But current and former FDA officials note that those frontline employees are often supported by teams of administrative staff. FDA inspectors, for example, have long relied on travel bookers to coordinate trips to India and other countries that often involve visa permissions, security measures, ground transportation, tech support, translation services and other logistics. Inspectors can spend up to half the year traveling, a grueling workload that makes recruiting and retaining staff a challenge. For a brief period last month, inspectors were told they would be booking their own travel. The FDA set up a hotline to assist with making the arrangements. Then, agency leaders developed a plan to hire an outside contractor to perform the work. On Monday, staffers were informed that about a third of the fired staff who performed the work would be returning. The Associated Press Health and Science Department receives support from the Howard Hughes Medical Institute’s Science and Educational Media Group. The AP is solely responsible for all content. —Matthew Perrone, AP health writer AP reporter JoNel Aleccia contributed to this report. View the full article

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Scams are a dime a dozen these days—so much so, you're pretty safe ignoring most of the messages you receive from unknown senders. But every now and then, an uncommon message isn't a scam, spam, or malicious in intent; in fact, sometimes, it's an official message from none other than Apple, warning you that you're being spied on. As much as this situation sounds like classic spam, it's very much not: Apple actually did send alerts to users on Wednesday warning them they might be targeted by "mercenary spyware attacks." Two of the users Apple alerted were Ciro Pellegrino, an Italian journalist for Fanpage, and Eva Vlaardingerbroek, a Dutch right-wing activist. You can see an excerpt of the alert below: “ “Apple detected that you are being targeted by a mercenary spyware attack that is trying to remotely compromise the iPhone associated with your Apple ID -xxx-...This attack is likely targeting you specifically because of who you are or what you do. Although it’s never possible to achieve absolute certainty when detecting such attacks, Apple has high confidence in this warning — please take it seriously.” ” This isn't the first time Apple has sent users this type of warning. In fact, the company sent a round of warnings to users back in July, complete with the same message as noted above. They did the same in April of 2024, as well. According to an Apple support document on the subject, the company has sent alerts multiple times each year since 2021, now to over 150 countries in total. The specifics of the attempted attacks are limited, since Apple doesn't want to reveal how it is able to detect the risks to users. While that's understandable, it means users are left knowing they're likely the target of a spyware campaign, but without knowing from who or where. To be clear, the vast majority of users receiving these alerts are not your everyday iPhone customers. Most of the users Apple believes are being targeted by spyware work in high-profile positions that attract attacks from state actors. Think politicians, journalists, activists, diplomats, etc.—people who expose secrets or have power that other people in power would like to stop. Bad actors spend millions of dollars to target these users in elaborate spyware campaigns, attempting to install malware on their devices in an effort to spy on location, data, and activity. Perhaps the most notable spyware of this kind is Pegasus, which was created by the Israeli-based NSO Group to spy on a host of high-profile targets the government sees as "threats." What makes spyware like Pegasus particularly dangerous is it requires no action on the part of the target: Bad actors can infect iPhones and Androids with Pegasus silently in what's known as a "zero-click" attack, and track just about everything the target does on their smartphone. What to do if you receive this alertIf you do receive one of these alerts, the first step is to ensure it's real. The company will send alerts via iMessage and email: iMessage alerts are sent from [threat-notifications@apple.com], while email alerts are from [threat-notifications@email.apple.com]. Before April of this year, Apple sent both from the @apple.com domain. Even if you confirm the address, sign into appleid.apple.com and look for the threat notification at the top of the page. If Apple really sent you one, you'll see it here. Otherwise, assume the message is fake. Apple says its alert will never ask you to click a link, open a file, or install an app or profile, so if the "alert" asks you to do this, ignore it. These are classic tactics to trick users into installing the very malware a true alert would try to protect you from. The company also recommends you reach out to the non-profit Access Now and use their Digital Security Helpline. While they won't be able to offer you specific advice about your situation, they will be able to walk you through general steps to secure yourself. Whether you receive an alert, or your work involves one of these at-risk positions, Apple strongly encourages you to enable Lockdown Mode on your Apple devices. Lockdown Mode restricts many of the basic functions of your Apple devices, to plug potential holes bad actors can exploit to compromise those devices. This includes blocking things like message attachment types, web technologies in Safari, and incoming FaceTime calls. The feature also removes your location from shared photos, and stops configuration profiles from being installed on your device. As Lockdown Mode limits the features of your iPhone or Mac, it's not something that most people should use on a daily basis. However, for those who may be targeted by bad actors, it can be a great line of defense. You can follow our guide here to enable Lockdown Mode on your Apple devices to protect yourself. View the full article

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Some good news for Publishers Clearing House (PCH) customers: The Federal Trade Commission (FTC) said Wednesday that the sweepstakes company is paying for refund checks to 281,724 customers who ordered a product after receiving and clicking on an email, which included “deceptive and unfair” practices, according to the FTC’s allegations. Here’s what you need to know. What happened? Publishers Clearing House, which has been known for decades for its sweepstakes deals and big checks, agreed to pay a total of about $18.5 million in refunds and make substantial changes to its e-commerce operations. “While we disagreed with the FTC’s assertions at the time, we were glad to have resolved the matter and move forward continuing to do what we do best—provide consumers fun entertainment and games powered by our famous chance to win,” Christopher Irving, vice president of consumer and legal affairs at PCH, told CBS News. Irving added that the current refunds are based on the FTC’s complaint and settlement from two years ago. Among other things, the 2023 lawsuit alleges PCH misled customers into thinking they had to make a purchase to enter the sweepstakes or to increase their chance of winning, and that the email subject lines were deceptively worded. The FTC also charged that the company added surprise shipping and handling fees to the costs of products, misrepresented that ordering is “risk free,” used deceptive emails as part of its marketing campaign, and misrepresented its policies on selling users’ personal data to third parties prior to January 2019. Here are the three main charges of the FTC’s complaint: PCH targeted older and lower-income consumers, deceiving them into thinking either that consumers could not enter into sweepstakes without purchasing a product, or that their chances of winning would be increased by purchasing products. PCH misled consumers by sending emails with deceptive subject lines that led consumers to believe the email was related to official documents, such as tax forms. PCH added deceptive shipping and handling fees and misrepresented that ordering was “risk-free,” even though consumers who wanted refunds had to return products at their own expense. What to know about getting a Publishers Clearing House refund check The FTC said recipients who receive a refund should cash their checks within 90 days, as indicated on the check. If you received a refund and have additional questions, contact Publishers Clearing House at 888-516-0774 or by email here. Consumers who have questions about the refund process can also visit the FTC website to view the frequently asked questions. The FTC does not require people to pay money or provide account information to get a refund. For some context, in 2024, the commission’s actions led to more than $338 million in refunds to consumers across the United States. View the full article

The The President administration has framed tariffs as a necessary tool for bringing more jobs to the U.S. and reviving the manufacturing sector. But many economists have warned that widespread job creation is unlikely, given the cost to companies—and in the meantime, The President’s substantial tariffs will drive up prices for both consumers and businesses, likely forcing them to cut costs through layoffs. Many frontline workers have already expressed concerns about the effect that the tariffs could have on their job security. In a survey by workforce management software company UKG, over half of the 5,000 frontline workers surveyed—defined as people who do shift work or are paid hourly—said they believed they could be laid off, while 74% expect that the tariffs will affect their earnings potential. Gen Z workers were the most likely to be concerned about layoffs, but the majority of workers described feeling nervous, stressed, or angry about the impact of tariffs on their jobs. Though the tariffs have already shaken up financial markets, the vast majority of workers (77%) believe that The President’s trade policies will harm smaller businesses more than Wall Street firms. According to the survey, tariffs are also driving changes in how workers are showing up on the job. Over 70% of respondents said their workplace behavior had changed in some capacity: Many of them claimed to be working harder to “prove their value,” while others were picking up additional shifts. Nearly half of workers were striving to increase their savings. About two-thirds of those surveyed said they expected the tariffs would likely limit their future job prospects. Workers have reason to be worried. President The President’s trade policies already seem to be impacting the workforce: The automaker Stellantis has trimmed headcount by about 900 across several manufacturing plants anticipating the impact of tariffs, while Volvo is cutting up to 800 jobs. Just this week, UPS announced that it would slash 20,000 jobs within the year to reduce costs, citing “macroeconomic uncertainty” and also noting the high likelihood of decreased shipping volume from China due to the tariffs. (Another major factor is that UPS is significantly cutting back on deliveries for Amazon.) Agricultural exporters are feeling the financial effects of the tariffs and have turned to layoffs, according to a CNBC report. Some experts have said that the tariffs might eventually create more manufacturing jobs stateside, and a number of major companies have already said they are expanding their manufacturing footprint in the U.S. But a Goldman Sachs analysis found that the tariffs could also lead to hundreds of thousands of job losses across the workforce—something that many workers clearly seem to anticipate. View the full article

Organizations look structured and logical from the outside—boxes and lines, reporting relationships, KPIs, and performance frameworks. But walk into any real meeting, and you’ll sense it: side glances, shifting energy, people going silent when one voice enters the room, unexplained resistance to change, and power dynamics no slide deck could predict. That’s not just dysfunction. That’s the system speaking, and most leaders aren’t listening. That is why we need something called systemic intelligence. Systemic intelligence is the capacity to sense and respond to the invisible forces shaping an organization’s behavior, culture, and outcomes. It’s not about titles or tactics. It’s about understanding: The unspoken agreements that guide behavior The loyalties people carry—to past leaders, ideas, or roles The emotional undercurrents in teams and across departments The patterns of inclusion and exclusion that shape decision-making The stories that are being told, and the ones that aren’t If emotional intelligence helps you understand individuals, systemic intelligence enables you to understand relationships, fields, and patterns. It’s what allows a leader to walk into a room and feel the temperature, not just the metrics, but the mood of an organization. Why This Matters More Than Ever The modern workplace is in flux. Hybrid work, generational shifts, AI transformation, and rising emotional exhaustion reveal how fragile many organizational systems are. And yet, most leadership development still focuses on logic, linearity, and surface-level skills. Here’s the reality: 70% of transformation efforts fail, primarily due to hidden dynamics—cultural resistance, misalignment, and lack of trust. Furthermore, only 27% of employees believe their company’s values align with how work actually gets done. Most strategies fail not because they are wrong but because they are disconnected from the reality of the system they are trying to move. If leaders don’t learn to see the system, they will be ruled by forces they don’t understand. A Moment That Changed Everything I once worked with a leadership team navigating the aftermath of a merger. They had a new vision, a reorg plan, and a glossy set of PowerPoint decks. But something was stuck. Meetings were tense. Morale was low. Alignment felt forced. So, we paused the strategy session and held a story circle. One leader finally voiced what everyone else had been feeling: “I still feel loyalty to our former CEO. We never really said goodbye. And it feels like we’re not allowed to grieve the culture we lost.” In that moment, something shifted. What emerged wasn’t just emotion; it was clarity. The energy in the room softened, and trust began to rebuild. The team could finally move forward—not by pushing harder, but by acknowledging what had been in the system all along. What you don’t name, you can’t shift. The S.E.E.N. Framework for Systemic Intelligence Systemic intelligence isn’t about having special powers. It’s about cultivating a new kind of leadership presence that’s attuned to what’s happening beneath the surface. You don’t develop this awareness by accident. You create it by practicing small but powerful shifts in observing, listening, and engaging with your organization as a living, breathing system. To help leaders begin, I use a simple guide: “S.E.E.N.” It’s a reminder that before you can shape a system, you must first learn to see it. S – Sense the Field. Slow down. Listen beyond the words. What’s present, but unspoken? What’s the emotional temperature? Before jumping into action, ask your team: “What’s the mood in the room right now?” Then sit with the silence. E – Explore Hidden Loyalties. People don’t just commit to goals—they commit to identities, past leaders, and unspoken rules. What loyalties are operating beneath the surface? For example, a team resistant to innovation may not fear change—they may be protecting the legacy of a beloved product or person. E – Examine the Energy Flow. Where is energy stuck? Who gets centered, and who gets sidelined? Where does attention naturally go? Where does it get blocked? Map informal influence—not just reporting lines. Who really holds trust in the system? N – Name What Needs to Be Acknowledged. Often, healing doesn’t come from solving—it comes from witnessing. What grief, transition, or injustice needs to be seen and honored? What if your next strategic move began with a ritual of acknowledgment, not another set of objectives? How to Start Seeing the System You don’t need to become a therapist. You just need to become more attuned to the emotional undercurrents, unspoken dynamics, and patterns shaping your team. Here are a few ways to begin: Host Campfire Conversations. Create spaces where stories—not just updates—can be shared. Start with: “Tell us about a moment that shaped your connection to this organization.” Bring in Outside Eyes. Artists, facilitators, systemic coaches, or organizational psychologists can help visualize dynamics your team may be too close to see. Use Visual Mapping. Ask: “What’s the formal structure? What’s the informal one? Who’s at the center of decisions, and who’s on the margins?” Slow the Agenda. Build in white space. Let emotion, silence, or discomfort have a seat at the table. Intelligence lives in the spaces we’re often too quick to fill. Most leaders try to fix what they can see. But true leadership begins by learning to sense what you can’t. Strategy is important, and structure is necessary, but without systemic intelligence, even the best plans will stall. Because what’s unacknowledged gets acted out, and what’s seen can finally start to shift. So, the next time your team feels stuck, ask yourself: “What’s really going on here? What’s in the system that no one is naming?” That question might be your most strategic move yet. View the full article

Pricing on the 30-year fixed rate mortgage retreated this week as investors digested some economic news, including a GDP contraction in the first quarter. View the full article

We may earn a commission from links on this page. Deal pricing and availability subject to change after time of publication. Ever since Google acquired Fitbit, it has managed to improve its Pixel Watch series. The Google Pixel Watch 2 is a great mix of the Fitbit health-tracking features and Google's tech-heavy smartwatch and is a capable smartwatch option for Android users even in 2025. After Google announced the Pixel Watch 3 along with the Pixel 9 and Pixel Buds Pro 2 last summer, the predecessor received a hefty discount. Right now, the LTE Google Pixel Watch 2 is $199.99 (originally $399.99 at release), matching the lowest price it has been on Amazon since its October 2023 release, according to price-checking tools. Google Pixel Watch 2 Heart Rate Tracking, Stress Management, Safety Features - Obsidian Active Band - LTE $199.99 at Amazon /images/amazon-prime.svg $299.99 Save $100.00 Get Deal Get Deal $199.99 at Amazon /images/amazon-prime.svg $299.99 Save $100.00 According to PCMag's "excellent" review, the Pixel Watch 2 offers 33 hours of battery time, a Qualcomm 5100 processor, a bright AMOLED screen, and a multitude of features, including an accelerometer, GPS, a blood oxygen monitor, a temperature sensor, and others. The smartwatch is rated IP68 for dust and water resistance (you can submerge it up to 164 feet underwater). Its main competitor is the Samsung Galaxy Watch 6, which costs $234.99 (originally $299.99) for the Bluetooth version and offers a brighter display but a shorter battery life (22 hours according to PCMag). You can take calls with this LTE version, and you won't need to be within Bluetooth or wifi distance of your phone to use all of its features. If you take it with you on a run, you'll be able to leave your phone at home and you can still listen to your music, take texts, or calls. One of the biggest downsides of the Pixel Watch 2 is that it comes in a single size; a 41-millimeter screen, which is the same size as the small Apple Watch Series 9. Also, some of the Fitbit health features will require a premium subscription, which is $9.99 per month. If you like a comfortable watch with a battery that will last you more than a day and health-focused features like skin temperature and stress sensors, then the Pixel Watch 2 is a good option. View the full article

OpenAI has launched its latest models, o3 and o4-mini, described as the company’s smartest and most capable releases to date. The new models are now available to ChatGPT users with full access to tools like web browsing, file analysis with Python, visual input reasoning, and image generation. OpenAI says o3 is its most powerful reasoning model yet, delivering state-of-the-art performance in coding, math, science, and visual tasks. The model significantly reduces major errors compared to its predecessor, OpenAI o1, and shows notable improvements in programming, business consulting, and creative ideation. Meanwhile, o4-mini offers fast, cost-efficient reasoning. Optimized for high-volume use, o4-mini performs strongly in math, coding, and visual tasks, outperforming its predecessor, o3-mini, in benchmarks like AIME 2025 and data science evaluations. Both new models also demonstrate improved instruction-following capabilities and more personalized responses by referencing past conversations. For the first time, OpenAI’s models can think with images, integrating visual content into their reasoning processes. The models can analyze photos, charts, and low-quality visuals, using tools like rotation and zooming to assist problem-solving. OpenAI trained both models to not only use tools but also reason about when and how to deploy them. This allows the models to complete complex tasks independently, such as conducting web searches, writing code, generating graphs, and delivering full analyses—all within about a minute. Safety improvements accompanied these advances. OpenAI rebuilt its safety training datasets and deployed a reasoning LLM monitor to better detect dangerous prompts, reporting strong performance on internal refusal benchmarks. Evaluations confirmed that both o3 and o4-mini remain below OpenAI’s “High” risk thresholds across biological, cybersecurity, and self-improvement categories. Both models are now available to ChatGPT Plus, Pro, and Team users, replacing previous versions. Enterprise and Edu users will gain access within a week. Developers can access o3 and o4-mini through OpenAI’s Chat Completions API and the newly introduced Responses API. OpenAI also launched Codex CLI, a lightweight, open-source coding agent designed for direct terminal use, and announced a $1 million grant program to support Codex CLI projects, offering grants in $25,000 increments via API credits. OpenAI says its upcoming plans involve merging the strengths of the o-series and GPT-series models to create tools that combine natural conversation with advanced, proactive reasoning. Image: OpenAI This article, "OpenAI Introduces o3 and o4-mini Models with Enhanced Reasoning and Full Tool Access" was first published on Small Business Trends View the full article

OpenAI has launched its latest models, o3 and o4-mini, described as the company’s smartest and most capable releases to date. The new models are now available to ChatGPT users with full access to tools like web browsing, file analysis with Python, visual input reasoning, and image generation. OpenAI says o3 is its most powerful reasoning model yet, delivering state-of-the-art performance in coding, math, science, and visual tasks. The model significantly reduces major errors compared to its predecessor, OpenAI o1, and shows notable improvements in programming, business consulting, and creative ideation. Meanwhile, o4-mini offers fast, cost-efficient reasoning. Optimized for high-volume use, o4-mini performs strongly in math, coding, and visual tasks, outperforming its predecessor, o3-mini, in benchmarks like AIME 2025 and data science evaluations. Both new models also demonstrate improved instruction-following capabilities and more personalized responses by referencing past conversations. For the first time, OpenAI’s models can think with images, integrating visual content into their reasoning processes. The models can analyze photos, charts, and low-quality visuals, using tools like rotation and zooming to assist problem-solving. OpenAI trained both models to not only use tools but also reason about when and how to deploy them. This allows the models to complete complex tasks independently, such as conducting web searches, writing code, generating graphs, and delivering full analyses—all within about a minute. Safety improvements accompanied these advances. OpenAI rebuilt its safety training datasets and deployed a reasoning LLM monitor to better detect dangerous prompts, reporting strong performance on internal refusal benchmarks. Evaluations confirmed that both o3 and o4-mini remain below OpenAI’s “High” risk thresholds across biological, cybersecurity, and self-improvement categories. Both models are now available to ChatGPT Plus, Pro, and Team users, replacing previous versions. Enterprise and Edu users will gain access within a week. Developers can access o3 and o4-mini through OpenAI’s Chat Completions API and the newly introduced Responses API. OpenAI also launched Codex CLI, a lightweight, open-source coding agent designed for direct terminal use, and announced a $1 million grant program to support Codex CLI projects, offering grants in $25,000 increments via API credits. OpenAI says its upcoming plans involve merging the strengths of the o-series and GPT-series models to create tools that combine natural conversation with advanced, proactive reasoning. Image: OpenAI This article, "OpenAI Introduces o3 and o4-mini Models with Enhanced Reasoning and Full Tool Access" was first published on Small Business Trends View the full article

Critics warn costs could spiral into billionsView the full article

Google AI Mode is now available to all US users without a waitlist, offers new visual cards, shopping integration, and more. The post Google AI Mode Exits Waitlist, Now Available To All US Users appeared first on Search Engine Journal. View the full article

Big news for Peloton fans: As of this week, you can watch plain old YouTube on your Bike, Bike+, Tread, or Row. Now, you may be saying, "YouTube TV was already an option in my Peloton's Entertainment tab. What's the big deal?" The big deal, my friend, is that YouTube TV is a subscription television service and YouTube is, well, YouTube. This new integration allows you to watch standard videos on the platform, the same as you would on your phone or computer. How to access YouTube on the PelotonYou access YouTube the same way you access other non-class features, like scenic rides or my beloved Lanebreak game: through a special tab in the menu on the bottom of your screen. Specifically, it's in the Entertainment tab. (If you hit that tab and don't see it, don't worry. Sometimes, Peloton's software updates roll out in waves. You'll have it eventually.) Just tap YouTube and you'll be taken to a landing page that initially shows you Peloton's channel on the video-sharing platform. You can log into your YouTube profile by signing in with your Google Account or just use it as a guest. At the top of the screen, you'll be prompted to start a workout if you'd like your resistance, cadence, and output to be tracked and monitored while you ride and watch. Why I love this as a Peloton optionOver the years, I've kind of fallen out of love with watching shows or movies while I do my cardio. I just feel like I don't move with enough intensity when I'm that distracted, which is why I prefer classes or the Lanebreak game. That said, I know that lots of people prefer or even need to be distracted to get their cardio in and if the option to watch YouTube gets more people on the bikes or treadmills, I am all for it. I tested the feature out this morning, first signing into my Google account and then searching for what I wanted to watch. There are a lot of spin classes available on YouTube and I have friends who watch those while they ride non-Peloton bikes at home. As I've explained in my Peloton Bike review, the classes that are designed for your Peloton and available through the associated app are always your best option, since they're made with your specific equipment in mind and track how well you're doing with that equipment, but if you ever feel like watching a different class, this is now an option. Personally, I opted to watch something I knew would get me hyped up, so I put on Lady Gaga's cinematic masterpiece, 2011's "Marry the Night" video. I play this song in the spin classes I teach all the time, but the video is something extra special to me. It worked flawlessly. There was no lag, the image was crisp and clear, and I could see my cadence and resistance at the bottom of the screen the whole time, just like I can when I'm taking a proper Peloton class. Being able to watch one of my favorite music videos actually did push me pretty hard. It wasn't until my end-of-workout review that I realized how fast or hard I'd been going or how many calories I torched. The video on my screen really sucked me in. What to keep in mind if you're watching YouTube on your PelotonThis is an awesome option if you want to do something besides a class, Lanebreak, or a scenic ride, but bear in mind that you won't have any cues from pros while you do it unless you're watching a YouTube spin class. I hesitate to recommend this if you're super new, but I say this as an instructor who is worried about your safety. Take a few classes first, if you haven't already, so you have an understanding of proper form and technique. I also know a lot of people get sucked into heavy YouTube holes. It's awesome to ride for a long time, but be careful to set some limits or keep track of how long you've been at it. Hydrate frequently and take some breaks. This isn't the same as falling into a YouTube binge on your couch; you could over-exert yourself without realizing it. View the full article

Welcome to AI Decoded, Fast Company’s weekly newsletter that breaks down the most important news in the world of AI. You can sign up to receive this newsletter every week here. The President harms AI progress by warring with universities Donald The President has done a lot to antagonize universities in his first 100 days. He cut off federal research funding to institutions like Princeton, Columbia, and Harvard, citing their alleged tolerance of antisemitism on campus. He also threatened the authority of college accreditation bodies that require schools to maintain diversity, equity, and inclusion programs. But these actions directly undermine the administration’s stated goals of strengthening the U.S. military and helping American tech companies maintain their narrow lead over China in AI research. Since World War II, the U.S. government has maintained a deep and productive relationship with universities. Under the leadership of Vannevar Bush, director of the Office of Scientific Research and Development, the government channeled significant research funding into university labs. In return, it received breakthroughs like radar and nuclear technology. Over the decades, university researchers have continued to contribute critical innovations used in defense and intelligence, including GPS and the foundational technologies of the internet. Today, the government increasingly relies on the commercial sector—including major contractors like Boeing and General Dynamics, and newer firms like Palantir and Anduril—for defense innovation. Yet universities remain essential. Much of the most advanced AI research still originates from academic computer science departments, many of which are powered by international students studying at institutions like MIT, Stanford, and Berkeley. These students often go on to found companies based on research initiated in academia. Whether they choose to build their businesses in the U.S. or return to their home countries depends, in part, on whether they feel welcome. When international students see research funding threatened or videos of PhD students being arrested by ICE, staying in the U.S. becomes a less appealing option. In a recent conflict with Harvard, the Department of Homeland Security even demanded information on the university’s foreign students and threatened to revoke its eligibility to host them. In response, over 200 university and college presidents have condemned the administration’s actions and are exploring ways to resist further federal overreach. Rather than discouraging international researchers and students, the U.S. should be sending a clear signal: that it remains a safe, supportive, and dynamic environment for AI talent to study, innovate, and launch the next generation of transformative companies. The best AI agents may be powered by teams of AI models working together During the first phase of the AI boom, labs achieved big intelligence gains by pretraining their models on ever-larger data sets and using more computing power. While AI companies are still improving on the art and science of pretraining, the intelligence gains are becoming increasingly expensive. A big part of the research community has shifted its focus to finding the best ways to train models to “think on their feet,” or to reason over the best routes to a responsive and accurate answer at “inference time” just after a user enters a question or problem. This research has already led to a new generation of “thinking” models such as OpenAI’s o3 models, Google’s Gemini 2.0, and Anthropic’s Claude 3.7 Sonnet. Researchers teach such models to think by giving them a multistep problem and offering them a reward (usually just a bit of code that means “good”) for finding their way to a satisfactory answer. It’s certainly possible to build an inference system that makes numerous calls to a single large frontier AI model, collecting all the questions and answers in a “context window” as works toward an answer. But new research from Berkeley’s AI research lab shows this monolithic “one model to rule them all” approach is not always the best way of building an efficient and effective inference system. A “compound AI system” of multiple models, knowledge bases, and other tools working together can yield more relevant and accurate outputs at far lower costs. Importantly, such a “pipeline” of AI resources can be a powerful backend for AI agents capable of calling on tools and working autonomously, says Jared Quincy Davis of the AI cloud company Foundry. Foundry builds software that enables it to provide GPU compute at low cost for AI developers. Davis has led an effort to create an open-source framework that lets AI practitioners build just the right pipeline, with just the right resources, for the application they have in mind. The framework, called Ember, was created with help from researchers at Databricks, Google, IBM, NVIDIA, Microsoft, Anyscale, Stanford, UC Berkeley, and MIT. Davis says it’s possible to build a compound system that can make calls to a number of today’s state-of-the-art AI models (via APIs) such as ones from Google, OpenAI, Anthropic, and others. Large frontier models often stand above other large models in certain skill areas (Anthropic’s Claude is especially good at writing and analyzing text), so it’s possible to build a pipeline that calls on models according to their unique strengths. This is a very different way of looking at AI computing, compared to the narrative of just a couple years ago that said one model would be better than all others at practically everything. Now, numerous models compete for the state-of-the-art at various tasks, while other smaller models specialize in completing tasks at lower cost, and the overall cost of getting an answer from an AI model has gone way down over the past couple of years. Congress actually passes a tech bill Congress has failed to pass any broad-based regulation to protect user and data privacy on social networks. It has, however, managed to pass laws to prohibit specific and particularly dangerous social media content such as child sex trafficking, and now nonconsensual intimate images (or NCII). NCII refers to the practice of posting sexual images or videos of real people online without their consent (often as an act of revenge or an attempt to extort), including explicit images generated using AI tools. The bill, called the Take It Down Act, which unanimously passed the Senate in February and the House on Monday, makes it a federal crime to post NCII and requires that online platforms remove the content within 48 hours of a complaint. Affected “public-facing” online platforms will have a year after the law passes to set up a system for receiving and acting on complaints. The president is expected to sign the bill into law. Even though the bill’s intent earned widespread support, its legal reach disturbed some free expression advocates. The Electronic Frontier Foundation worries that the bill’s language is overbroad and that it could be used as a tool for censorship. These worries were compounded by the fact that the new law will be enforced by the Federal Trade Commission, which is now led by The President loyalists. More AI coverage from Fast Company: Duolingo doubles its language offerings with AI-built courses In his first 100 days, The President’s tariffs are already threatening the AI boom Microsoft thinks AI colleagues are coming soon Marc Lore wants AI to feed you—and make you healthier Want exclusive reporting and trend analysis on technology, business innovation, future of work, and design? Sign up for Fast Company Premium. View the full article

Google has a number of announcements around Al Mode, including dropping the waitlist, adding products and place cards to the answers, a new history panel, and that they are doing a limited test without having to opt in to Al Mode within Search Labs. Testing Al Mode in the wild. Google is now testing Al Mode within Google Search without you having to opt in to Al Mode within Search Labs. That means that you might see the tab for Al Mode without specifically opting into the feature. Soufi Esmailzadeh, Director, Product Management, at Google Search wrote, “Because our power users are finding it so helpful, we’re starting a limited test outside of Labs. In the coming weeks, a small percentage of people in the U.S. will see the Al Mode tab in Search, and we’ll continue to incorporate feedback into the experience. “ No waitlist. If you are eager to try out Al Mode and you have not yet been accepted into the waitlist, well, that waitlist is going away. Google will automatically approve anyone in the U.S. who is 18 years or older, if they opt into Al Mode. There is no longer a waitlist and you will get immediate access to the Al Mode tab. Places and products cards. Google also added places (local businesses) and product cards to AI Mode. This includes information such as local images, ratings, reviews, store hours, real-time prices, and availability. This pulls from both Google’s Shopping Graph and Google Business Profiles. Google wrote, “For local spots, like restaurants, salons and stores, you can quickly see info like ratings, reviews, and opening hours, and if you’re looking for a product, you’ll see shoppable options with real-time prices (including the latest promotions), images, shipping details and local inventory.” Here is what it looks like: History panel. Google also added a new history panel, so you can see your past conversations and queries. This allows you to quickly pick up from where you left off, directly in AI Mode. You can click the new left-side panel to get to your past searches. Google will topics, each will include the infomation that AI Mode already found for you, and you can ask follow-up questions or take your next steps. Why we care. Google and other search engines and AI companies, are looking for the killer AI search engines features that will gain them market dominance in this AI search race. AI Mode may be that interface for Google (or maybe not). That being said, Google is investing a lot into AI Mode; adding features and rolling it out more widely. Also, for Google to test this in the wild, it will give Google the information it needs to see how searchers really like AI Mode and then adapt it to make it better. It is exciting times in this AI Search space. View the full article

CEO’s remuneration is benchmarked against US rivals and is set to rise to £7.8mnView the full article

In the early days of the current AI boom, The New York Times sued OpenAI and Microsoft for copyright infringement. It was a seismic move, but perhaps the most notable thing about it is what came after. In the subsequent months, publisher after publisher signed licensing deals with OpenAI, making their content available to ChatGPT. There were others who chose litigation, certainly, but most major media companies opted to take some money rather than spend it on lawyers. That changed last week when Ziff Davis filed its own copyright lawsuit against OpenAI. Ziff owns several major online properties, including Mashable, CNET, IGN, and Lifehacker, and garners a massive amount of web traffic. According to the filing, its properties earned an average of 292 million monthly page views over the past year. Strange, then, that OpenAI didn’t bother to negotiate with Ziff at all. The filing mentions that, after asking OpenAI to stop scraping its content without authorization, Ziff’s requests to negotiate were “rebuffed.” A news story about the lawsuit in PCMag (another Ziff property) also said OpenAI wouldn’t talk, though it’s unclear whether it was just repeating what the filing described. While The Times and Ziff aren’t alone in their legal efforts against OpenAI, it’s informative to compare the two complaints, filed almost 16 months apart, to get an understanding of how the stakes of the AI-media cold war have evolved. AI technology has progressed considerably and we now have a much greater understanding of AI substitution risk—the fancy name for AI summarization of publisher content. Ziff’s lawsuit gives us a better idea of how the AI sausage is made these days and can tell us just how much other AI players should be sweating. For starters, Ziff points to what has become table stakes in most of these lawsuits: the act of scraping content, storing copies of that content in a database, and then serving up either a “derivative work” (summaries) or the content itself as inherently violative of copyright. OpenAI has maintained, however clumsily at times, that its harvesting of content on the web to train models falls under fair use, a key exception to copyright law that has supported some instances of mass digital copying in the past. That’s the central conflict to all these cases, but Ziff’s action goes in some novel directions that point to how things have changed since ChatGPT first arrived: 1. AI, meet DMCA Ziff runs a few more yards with the copyright ball, claiming that OpenAI deliberately stripped copyright management information (CMI) from Ziff content. This is a bit of a technicality—essentially it means ChatGPT answers often don’t include bylines, the name of the publication, and other metadata that would identify the source. However, stripping out CMI from content and then distributing it under your own banner is a violation of the Digital Millennium Copyright Act (DMCA), giving the filing more teeth. 2. It’s a RAG world now This is arguably the most important change between the two lawsuits and reflective of how the way we use AI to access information has changed. When The Times filed suit, ChatGPT wasn’t a proper search engine, and the public was only just beginning to understand retrieval-augmented generation, or RAG—broadly, how AI systems can go beyond their training data. RAG is an essential element of any AI-based search engine today, and it’s also massively increased the risk of AI substitution to publishers since a chatbot that can summarize current news is much more useful than one that only has access to archives that cut off after a certain date (remember that?). 3. Watering down the brands Ziff frames the hallucination problem in a novel way, calling it “trademark dilution.” Media brands like Mashable and PCMag (both of which I used to work at) have built up their reputations over years or decades, the complaint makes the case that every time ChatGPT attributes a falsehood to one of them or wholesale imagines a fake review, it chips away at them. It’s a subtle point, but a compelling one that points to a future where valuable brands slowly become generic labels floating in the AI ether. 4. Paywalls are the first line of defense Ziff says in the filing that its properties are particularly vulnerable to AI substitution because so little of its content is behind paywalls. Ziff’s business model is based primarily on advertising and commerce (mostly from readers clicking on affiliate links in articles), both of which depend on actual humans visiting websites and taking actions. If an AI summary negates that act, and there’s no licensing or subscription revenue to make up for it, that’s a huge hit to the business. 5. Changing robots.txt isn’t enough Every website has a file that tells web scrapers what they can do with the content on that site. This “robots.txt” file allows sites to, say, let Google crawl their site but block AI training bots. Indeed, many sites do exactly that, but according to Ziff, it makes no difference. Despite explicitly blocking OpenAI’s GPTBot, Ziff still logged a spike in the bot’s activity on some of its sites. It’s generally assumed companies like OpenAI use third-party crawlers to scrape sites they’re not supposed to, but Ziff’s lawsuit accuses OpenAI of openly flouting the rules it claims to respect. 6. Regurgitation is still an issue The original Times complaint spends many pages on the issue of “regurgitation”—when an AI system doesn’t just summarize a piece of content but instead repeats it, word for word. Generally this was thought to be a mostly solved issue, but Ziff’s filing claims it still happens, and that exact copies of articles are a relatively easy thing for ChatGPT users to call up. Apparently asking what the original text “might look like with three spaces after every period” is a method some have used to fool the chatbot into serving up exact copies of an article. (For the record, it didn’t work for me.) The battle continues Just when it was looking like licensing deals would be the new normal, Ziff Davis’s filing shows the fight between AI and news is far from over. How it plays out could end up being even more existential for a company like Ziff. However the court rules, the case confronts a more fundamental question: Can strong media brands that rely on commerce and free access coexist with AI systems that learn—and sometimes mislearn—from everything they touch? View the full article

Today's Bissett Bullet: “If you’re a business owner in need of an accountant and an advisor, you’re probably hoping those are one and the same person.” By Martin Bissett See more Bissett Bullets here Go PRO for members-only access to more Martin Bissett. View the full article