It's the infuriating loophole that's driven Trump mad. These glamorous (and extremely rich) women couldn't care less... but that's about to change
Wealthy expectant moms from Russia, China, and beyond continue to descend on Miami, , and other American cities on tourist or short-term visas with one purpose in mind.
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Geeky Gadgets
an hour ago
- Geeky Gadgets
ChatGPT Agents Review : Do They Actually Work?
What if the future of work wasn't just about working smarter, but letting AI handle the heavy lifting entirely? Enter ChatGPT Agents, OpenAI's latest innovation in artificial intelligence. These virtual assistants promise to transform productivity by automating repetitive tasks, conducting in-depth research, and even generating strategic insights—all with a human-like touch. But here's the catch: while the concept sounds new, the reality is more nuanced. Can a single tool truly master such a wide range of functions, or are we setting ourselves up for disappointment? The answers could redefine how businesses approach automation and decision-making in the years to come. In the video below Marketing Against the Grain investigates whether ChatGPT Agents live up to the hype or fall short of their ambitious claims. You'll discover their most promising applications, from crafting detailed customer profiles to generating competitive analyses, as well as the limitations that might make you think twice before fully integrating them into your workflows. Are these agents a jack-of-all-trades but master of none? Or do they represent a meaningful step toward seamless AI-driven task management? By the end, you'll have a clearer understanding of where these tools shine—and where they might leave you reaching for more specialized solutions. Overview of ChatGPT Agents What Sets ChatGPT Agents Apart? ChatGPT Agents are engineered to tackle complex tasks through a virtual computer interface, providing access to a wide array of tools. These tools are designed to simplify workflows by automating repetitive processes, conducting detailed research, and generating actionable insights. The overarching goal is to replicate human-like precision in task execution while reducing the time and effort required for manual processes. Some of the key features include: Automation of repetitive tasks: The agents can handle time-consuming workflows, reducing manual effort. The agents can handle time-consuming workflows, reducing manual effort. Strategic insights: They can perform competitive and market analysis to deliver actionable recommendations. They can perform competitive and market analysis to deliver actionable recommendations. Customer profiling: By analyzing data from platforms like LinkedIn, they create detailed profiles of target audiences. By analyzing data from platforms like LinkedIn, they create detailed profiles of target audiences. Presentation generation: They synthesize data to produce comprehensive decks and strategic recommendations. While these features highlight the tool's versatility, its performance can vary depending on the complexity and specificity of the task at hand. This variability underscores the importance of understanding its strengths and limitations before integrating it into workflows. Practical Applications of ChatGPT Agents ChatGPT Agents excel in scenarios that require extensive research, data synthesis, and automation. Below are some practical applications where these agents can add value: Competitive Analysis: The agents can evaluate competitors by analyzing product offerings, pricing strategies, and market positioning. This enables businesses to identify gaps and opportunities within their industries. The agents can evaluate competitors by analyzing product offerings, pricing strategies, and market positioning. This enables businesses to identify gaps and opportunities within their industries. Customer Profiling: By using data from platforms like LinkedIn, the agents can reverse-engineer ideal customer profiles. This provides businesses with a deeper understanding of their target audiences, helping to refine marketing strategies. By using data from platforms like LinkedIn, the agents can reverse-engineer ideal customer profiles. This provides businesses with a deeper understanding of their target audiences, helping to refine marketing strategies. Presentation Creation: They can generate detailed presentations that include competitive analysis, market insights, and strategic recommendations. This simplifies the process of sharing data-driven insights with stakeholders. Despite their potential, these agents are not without limitations. For example, in tasks like presentation creation, they may lag behind specialized tools such as GenSpark, which are specifically optimized for such outputs. This highlights the importance of selecting the right tool for the right task. ChatGPT Agents, Do They Actually Work? Watch this video on YouTube. Expand your understanding of ChatGPT Agent with additional resources from our extensive library of articles. Strengths and Limitations ChatGPT Agents bring several advantages to the table, particularly in areas requiring deep research and data analysis. However, they also come with notable limitations that users should be aware of. Here's a closer look: Workflow Automation: While the agents can automate repetitive tasks, their speed and accuracy may not always match that of specialized AI solutions. While the agents can automate repetitive tasks, their speed and accuracy may not always match that of specialized AI solutions. Task Completion Times: Certain tasks, such as generating detailed presentations, can take longer than expected, potentially impacting overall efficiency. Certain tasks, such as generating detailed presentations, can take longer than expected, potentially impacting overall efficiency. Lack of Specialization: The generalist approach of ChatGPT Agents means they may struggle to deliver the same level of precision and quality as dedicated tools in niche areas. These limitations suggest that while ChatGPT Agents are a promising addition to the AI landscape, they are not yet a comprehensive solution for all tasks. Users should carefully evaluate their specific needs and consider combining these agents with specialized tools for optimal results. The Road Ahead for ChatGPT Agents The introduction of ChatGPT Agents underscores the growing role of virtual AI agents in enhancing productivity and managing parallel tasks. As the technology continues to evolve, improvements in efficiency, accuracy, and specialization are likely to follow. These advancements could expand the tool's applicability, making it more reliable for a broader range of tasks. For now, experimenting with ChatGPT Agents in your workflows can help you identify their strengths and limitations. Their versatility makes them a valuable tool for handling diverse tasks, but for activities requiring high precision or speed, specialized tools may still be necessary. By understanding where these agents excel and where they fall short, you can make informed decisions about how to integrate them into your processes. How Do ChatGPT Agents Compare to Other Tools? When compared to other AI solutions, ChatGPT Agents stand out for their adaptability and broad functionality. However, their generalist nature means they may not always perform as well as specialized tools in certain areas. Here's a breakdown of the key trade-offs: Versatility: ChatGPT Agents are designed to handle a wide range of tasks, making them an attractive option for users seeking an all-in-one solution. ChatGPT Agents are designed to handle a wide range of tasks, making them an attractive option for users seeking an all-in-one solution. Specialization: Dedicated tools like GenSpark often deliver faster and more accurate results for specific tasks, such as presentation creation or design. Understanding these differences is crucial for selecting the right tool for your needs. While ChatGPT Agents offer flexibility and convenience, specialized tools may be better suited for tasks that demand a high degree of precision or efficiency. By balancing these factors, you can optimize your workflows and achieve better outcomes. Media Credit: Marketing Against the Grain Filed Under: AI, Reviews, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
BreakingNews.ie
an hour ago
- BreakingNews.ie
Apple overcomes trade war and slow start in AI to deliver strong quarter
Apple shook off the issue of tariffs and a slow entry into artificial intelligence to accelerate its revenue growth during its spring-time quarter, but the tech giant still faces a bumpy road ahead that could lead to higher iPhone prices. The April-June results released on Thursday came against a backdrop of adversity that has been raising worries about the trajectory of a longtime tech kingpin that expects to absorb a setback of nearly two billion dollars (£1.5 billion) from the tariffs that President Donald Trump has already imposed and others in the pipeline. Advertisement Despite the doubts, Apple remains a moneymaking machine. The company earned 23.4 billion dollars (£17.8 billion) during its fiscal third quarter, a 9% increase from the same time last year. Revenue climbed 10% from a year ago to 94 billion dollars (£71 billion). The company's iPhone sales surged 13% from a year ago to 44.6 billion dollars (£33.8 billion). In another positive development, Apple's business in China showed signs of snapping out of a prolonged malaise with a 4% bump in revenue from the same time last year. Advertisement Apple chief Tim Cook (PA) All those numbers were well above the analyst projections that steer investors, helping to boost Apple's recently slumping stock price by about 3% in extended trading. But the unexpectedly solid performance does not necessarily mean it is smooth sailing ahead for Apple. Mr Trump's trade war targeting foreign-made products such as the iPhone and Apple's stumbling start in the pivotal transition to AI is causing investors to question if the company will remain at the tech forefront as the industry moves into a new era. Before Thursday's report came out, Apple's stock price had plunged by 17% so far this year to wipe out more than 600 billion dollars (£455 billion) in shareholder wealth and knock the company off its perch as the world's most valuable company. Advertisement Meanwhile, the shares of AI chipmaker Nvidia have surged 32% this year and the shares of AI pacesetter Microsoft have gained 27%, propelling the market value to four trillion dollars (£3 trillion). Even though Apple remains highly profitable, the tariffs that Mr Trump has already imposed on China and other countries cost the company 800 million dollars (£600 million) during the past quarter, and CEO Tim Cook told analysts during a conference call that the fees would exact an additional toll of 1.1 billion dollars (£830 million) during the July-September period. iPhone 16e (Apple/PA) The company also predicted its revenue for July-September period would increase at a slightly slower pace than the past quarter. Mr Cook indicated the financial damage from the tariffs could have been much higher, telling analysts most of the components in iPhones and other Apple products are still shielded by temporary exemptions that the Trump administration granted most electronics in mid-April. Advertisement Apple softened the blow of Mr Trump's tariffs on products made outside the US during the past quarter by shifting its production of iPhones from China to India. But the administration intends to impose a 25% tariff on goods from India, a move that could intensify the pressure on Apple to raise the prices on the next generation of iPhones expected to be released in September. Mr Cook was not asked about the possibility of an iPhone increase during his Thursday remarks to analysts. Consumer fears about the tariffs driving up iPhone prices spurred an unusual buying spree of iPhones and Mac computers in the US during early April, according to Mr Cook. Advertisement Apple estimated that spike accounted for roughly one percentage point of its 10% revenue increase in the past quarter, which translates into about 82 million dollars (£62 million) in sales. Mr Cook also credited an uptick in consumers upgrading to the latest model for helping Apple sell its three billionth iPhone since the device's 2007 debut. Mr Trump has been pressuring Apple to make all its iPhones in the US, a move that analysts believe would take years to pull off and ultimately double or triple the average price of the device. But Mr Cook told analysts Thursday that the company is pushing to increase its computer chip production in the US as one way of avoiding tariffs. 'We ultimately will do more in the United States,' he said. Meanwhile, Apple is still trying to fulfil the AI promises it made last year when it unveiled an array of new iPhone features built on the revolutionary technology, raising expectations that the shift would spur millions of people to upgrade their old devices. But Apple still has not delivered on an AI upgrade that was supposed to smarten up its often-bumbling virtual assistant Siri, one of the main reasons underlying the lacklustre growth of iPhone sales. 'While these numbers certainly buy Apple time, the fact is that investors — and consumers — remain laser-focused on AI innovation. And Apple still has a long way to go in this game,' said analyst Thomas Monteiro.
Reuters
an hour ago
- Reuters
Nippon Steel warns of full year loss after $1.3 billion Q1 shortfall
TOKYO, Aug 1 (Reuters) - Nippon Steel (5401.T), opens new tab revised on Friday its forecast for the full fiscal year to a 40 billion yen ($266 million) loss from 200 billion yen profit previously, partly due to costs related to its acquisition of U.S. Steel ( opens new tab. In June, Nippon Steel, Japan's biggest steelmaker, closed its $14.9 billion acquisition of U.S. Steel after an 18-month struggle to obtain U.S. government approval for the deal, which faced scrutiny due to national security concerns. Nippon Steel said that the full year results will be hit by a one-off loss tied to the U.S. Steel deal, in particular a loss of 231.5 billion yen related to the transfer of its 50% stake in joint venture AM/NS Calvert to partner ArcelorMittal, and some other factors. On Friday, Nippon Steel posted 195.83 billion yen in losses for the three months to June 30, wider than analysts' expectations. An LSEG poll of analysts had expected Nippon Steel to post 25.7 billion yen in quarterly losses. A year earlier, it reported quarterly net profit of 157.56 billion yen. Nippon Steel has also decided to conduct a stock split at a ratio of five shares for every one share effective from October 1. Last month, global rating agency S&P downgraded Nippon Steel to 'BBB' from 'BBB+' with a 'negative' outlook, citing an increasing financial strain following the Japanese steelmaker's acquisition of U.S. Steel. ($1 = 150.5400 yen)
