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One App With All of the AI Models You Actually Want to Use

One App With All of the AI Models You Actually Want to Use

Yahoo27-05-2025
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If you rely on AI for work, then you've likely noticed that many of the free tools are either inefficient or extremely limited in scope. Even OpenAI puts a cap on how much you can use GPT-4, and their paid subscriptions aren't cheap. The alternative is to get access to the same AI models through a different platform. That's what 1min.AI does. This all-in-one AI platform gives you access to GPT-5 and GPT-4 Turbo, Gemini, Claude, and more. It's also only $29.97 (reg. $234).
1min.AI puts all the AI tools you rely on into one platform. You can generate copy with GPT, craft images with Midjourney, and there's even AI for editing audio and video
It works on a credit system, but the lifetime subscription gives you more than enough. With your 1,000,000 monthly credits, you could generate over 800,000 words, research 1,933 SEO keywords, upscale 241 images, convert 120,833 characters to speech, or transcribe up to 4,833 seconds of audio.
These credits roll over every month if you don't use them all. And just by logging in daily, you can earn up to 450,000 additional credits every month.
Don't rent tools you can own. Get a subscription to 1min.AI while it's on sale for only $29.97.
Prices subject to change. PCMag editors select and review products independently. If you buy through StackSocial affiliate links, we may earn commissions, which help support our testing.
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Apple Stock Hits 6-Week High After Lagging Big Tech Peers in Q2—Watch These Key Levels
Apple Stock Hits 6-Week High After Lagging Big Tech Peers in Q2—Watch These Key Levels

Yahoo

time38 minutes ago

  • Yahoo

Apple Stock Hits 6-Week High After Lagging Big Tech Peers in Q2—Watch These Key Levels

Apple shares bucked a broader downturn for technology stocks on Tuesday, rising for the third straight day to their highest level in six weeks. The rally to start the week follows a report that the iPhone maker could use OpenAI or Anthropic to power its Siri voice assistant. The stock broke out from a descending triangle and closed above the 50-day moving average in Monday's trading session, potentially setting the stage for an upside trend reversal. Investors should watch key overhead areas on Apple's chart around $214 and $235, while also monitoring support levels near $193 and $ (AAPL) shares bucked a broader downturn for technology stocks on Tuesday, rising for the third straight day to their highest level in six weeks. The rally to start the week follows a report that the iPhone maker could use OpenAI or Anthropic to power the next generation of Siri. The company, which has had delays rolling out the latest installment of its voice assisted technology, held talks with both companies about relying on their AI models instead of in-house technology, Bloomberg reported on Monday. Apple shares have faced downward pressure this year amid concerns the company is falling behind its big tech rivals on the AI development front. The stock fell nearly 8% in the second quarter, making it the only Magnificent Seven member to lose ground in the period. Since the start of the year, Apple shares have slumped 17%, significantly underperforming the S&P 500's 5% gain. On Tuesday, the stock rose 1.3% to around $208. Below, we take a closer look at Apple's chart and use technical analysis to identify key price levels that investors will likely be watching. Apple shares broke out from a descending triangle and closed above the 50-day moving average in Monday's trading session, potentially setting the stage for an upside trend reversal. What's more, the relative strength index confirmed strengthening price momentum, with the indicator registering its highest reading since late February. However, bears will argue that the stock remains in an established downtrend after the 50-day MA crossed below the 200-day MA back in April to form a "death cross," a chart signal pointing to lower prices. Let's identify two key areas on Apple's chart to watch if the stock moves higher and also identify support levels worth monitoring during potential retracements. The first overhead area to watch sits around $214. This level may provide overhead resistance near the early-May peak, which also closely aligns with troughs that developed on the chart in March and September. A decisive close above this level could see the shares climb toward $235. Investors who have accumulated the stock at lower prices may look for exit points in this location near a trendline that connects a range of corresponding price action on the chart between July and March. During retracements in the stock, it's initially worth monitoring the $193 level. The shares could attract buying interest in this area near the descending triangle's lower trendline. Finally, a convincing breakdown in Apple shares below the descending triangle could trigger a steeper decline to around $180. Investors may look for entry points in this region that align with a pullback to the 200-day MA in May last year following a prominent stock gap. The comments, opinions, and analyses expressed on Investopedia are for informational purposes only. Read our warranty and liability disclaimer for more info. As of the date this article was written, the author does not own any of the above securities. Read the original article on Investopedia Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

What Happens to Your Brain When You Use ChatGPT? Scientists Took a Look
What Happens to Your Brain When You Use ChatGPT? Scientists Took a Look

CNET

time40 minutes ago

  • CNET

What Happens to Your Brain When You Use ChatGPT? Scientists Took a Look

Your brain works differently when you're using generative AI to complete a task than it does when you use your brain alone. Namely, you're less likely to remember what you did. That's the somewhat obvious-sounding conclusion of an MIT study that looked at how people think when they write an essay -- one of the earliest scientific studies of how using gen AI affects us. The study, a preprint that has not yet been peer-reviewed, is pretty small (54 participants) and preliminary, but it points toward the need for more research into how using tools like OpenAI's ChatGPT is affecting how our brains function. OpenAI did not immediately respond to a request for comment on the research (Disclosure: Ziff Davis, CNET's parent company, in April filed a lawsuit against OpenAI, alleging it infringed Ziff Davis copyrights in training and operating its AI systems.) The findings show a significant difference in what happens in your brain and with your memory when you complete a task using an AI tool rather than when you do it with just your brain. But don't read too much into those differences -- this is just a glimpse at brain activity in the moment, not long-term evidence of changes in how your brain operates all the time, researchers said. "We want to try to give some first steps in this direction and also encourage others to ask the question," Nataliya Kosmyna, a research scientist at MIT and the lead author of the study, told me. The growth of AI tools like chatbots is quickly changing how we work, search for information and write. All of this has happened so fast that it's easy to forget that ChatGPT first emerged as a popular tool just a few years ago, at the end of 2022. That means we're just now beginning to see research on how AI use is affecting us. Here's a look at what the MIT study found about what happened in the brains of ChatGPT users, and what future studies might tell us. This is your brain on ChatGPT The MIT researchers split their 54 research participants into three groups and asked them to write essays during separate sessions over several weeks. One group was given access to ChatGPT, another was allowed to use a standard search engine (Google), and the third had none of those tools, just their own brains. The researchers analyzed the texts they produced, interviewed the subjects immediately after they wrote the essays, and recorded the participants' brain activity using electroencephalography (EEG). An analysis of the language used in the essays found that those in the "brain-only" group wrote in more distinct ways, while those who used large language models produced fairly similar essays. More interesting findings came from the interviews after the essays were written. 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Using tools means you use less of your brain to complete a task. But Kosmyna said the research helped show what the differences were: "The idea was to look closer to understand that it's different, but how is it different?" she said. The LLM group showed "weaker memory traces, reduced self-monitoring and fragmented authorship," the study authors wrote. That can be a concern in a learning environment: "If users rely heavily on AI tools, they may achieve superficial fluency but fail to internalize the knowledge or feel a sense of ownership over it." After the first three essays, the researchers invited participants back for a fourth session in which they were assigned to a different group. The findings there, from a significantly smaller group of subjects (just 18), found that those who were in the brain-only group at first showed more activity even when using an LLM, while those in the LLM-only group showed less neural connectivity without the LLM than the initial brain-only group had. This isn't 'brainrot' When the MIT study was released, many headlines claimed it showed ChatGPT use was "rotting" brains or causing significant long-term problems. That's not exactly what the researchers found, Kosmyna said. The study focused on the brain activity that happened while the participants were working -- their brain's internal circuitry in the moment. It also examined their memory of their work in that moment. Understanding the long-term effects of AI use would require a longer-term study and different methods. Kosmyna said future research could look at other gen AI use cases, like coding, or use technology that examines different parts of the brain, like functional magnetic resonance imaging, or fMRI. "The whole idea is to encourage more experiments, more scientific data collection," she said. While the use of LLMs is still being researched, it's also likely that the effect on our brains isn't as significant as you might think, said Genevieve Stein-O'Brien, assistant professor of neuroscience at Johns Hopkins University, who was not involved in the MIT study. She studies how genetics and biology help develop and build the brain -- which occurs early in life. Those critical periods tend to close during childhood or adolescence, she said. "All of this happens way before you ever interact with ChatGPT or anything like that," Stein-O'Brien told me. "There is a lot of infrastructure that is set up, and that is very robust." The situation might be different in children, who are increasingly coming into contact with AI technology, although the study of children raises ethical concerns for scientists wanting to research human behavior, Stein-O'Brien said. You can have a chatbot help you write an essay, but will you remember what you write? Thai Liang Lim / Getty Images Why care about essay writing anyway? The idea of studying the effect of AI use on essay writing might sound pointless to some. After all, wasn't the point of writing an essay in school to get a grade? Why not outsource that work to a machine that can do it, if not better, then more easily? The MIT study gets to the point of the task: Writing an essay is about developing your thinking, about understanding the world around you. "We start out with what we know when we begin writing, but in the act of writing, we end up framing the next questions and thinking about new ideas or new content to explore," said Robert Cummings, a professor of writing and rhetoric at the University of Mississippi. Cummings has done similar research on the way computer technologies affect how we write. One study involved sentence completion technology -- what you might know informally as autocomplete. He took 119 writers and tasked them with writing an essay. 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Apple's next AI move could change everything for Siri
Apple's next AI move could change everything for Siri

Miami Herald

time2 hours ago

  • Miami Herald

Apple's next AI move could change everything for Siri

Siri, we need to talk! Apple's (AAPL) once-glorified assistant has fallen way behind flashier AI like ChatGPT, Gemini, and Claude. Don't miss the move: Subscribe to TheStreet's free daily newsletter These days, it seems it's stuck in 2015, while other AI models rewrite the game. Apple's assistant continues tinkering with features but rarely delivers the lightning-quick, context-aware replies we're seeing on ChatGPT-powered platforms. However, after years of stunted updates and stiff competition from Google, OpenAI, and Amazon, Siri is potentially on the brink of a reinvention, redefining Apple Intelligence in the process. So here we are: Siri, would you reinvent yourself with an AI ringer behind the curtain? Whispers suggest this gamble could pay off and finally turn Apple stock's fortunes around. Siri was arguably Apple's secret sauce. It felt ahead of its time, a futuristic sidekick that wowed users back in 2011. Talking to your phone at the time felt like something straight out of a sci-fi flick. It made stuff like reminders, texts, and smart home tricks hands-free long before anyone else really nailed it. Fast forward to now, and Siri's crown has slipped. At the same time, ChatGPT, Gemini, Claude, and Grok have all evolved into sharp, context-savvy bots. Apple tried to turn things around with its massive "Apple Intelligence" rebrand in mid-2024, backed by savvy on-device models and proactive help. Related: Tesla stock sinks fast as Musk-Trump clash turns ugly However, by Apple's Worldwide Developer's Conference 2025, Siri was basically missing in action, with Apple hyping new real-time translation and visual lookup. Even Marketing SVP Greg Joswiak admitted Siri flopped quality checks this cycle, a major letdown for Apple users and stockholders alike. Meanwhile, rivals like Anthropic's Claude and OpenAI's ChatGPT have surged ahead in generative smarts. However, it looks like Apple's finally ready to flip the script. Recent reports suggest that Siri's brain power could potentially be outsourced, marking a major U-turn for a company that has looked to build everything in-house. Also, the shake-up follows big leadership moves, too. More Tech Stock News: Veteran Tesla analyst makes boldest robotaxi call yetTesla robotaxi launch hits major speed bumpAmazon aims to crush Elon Musk's Robotaxi AI boss John Giannandrea's out; Mike Rockwell is now steering "Apple Intelligence." Wall Street's into it, with Apple stock in the green. Nevertheless, balancing this pivot with privacy promises could make or break Apple's AI comeback. Apple is exploring a major Siri upgrade, but it might not come from Apple's own AI lab. According to fresh reports, the Cupertino giant is looking to ink deals to power Siri's next chapter with OpenAI or Anthropic. That's a seismic shift for a business that prides itself on developing everything in-house. Apple shares popped 2% on the news, signaling Wall Street likes the idea of Siri finally getting smarter. The company has reportedly asked both OpenAI and Anthropic to train AI models that can run on Apple's cloud servers. That essentially means a much faster rollout and fewer AI hiccups. Related: Gemini, ChatGPT may lose the AI war to deep-pocketed rival It also hints that Apple's own generative AI tech might not be up to snuff. Still, these are early days. Apple's already shelling out billions to run its own models in the cloud starting next year. Hence, the backup plan might just be insurance. It's important to note that this isn't the first time Big Tech has borrowed AI brains. Samsung used Google's Gemini for its smartphones, and Amazon's Alexa tapped Anthropic's Claude. If Apple follows suit, OpenAI or Anthropic could lock in another blue-chip customer, pushing both further ahead in the AI arms race. More importantly, Siri's long-awaited glow-up might actually deliver this time. In addition, Apple stock hasn't had the best of years on the stock market. It's down more than 17% year to date, and close to 18% in the past six months alone. Related: Veteran analyst drops jaw-dropping Tesla stock target The Arena Media Brands, LLC THESTREET is a registered trademark of TheStreet, Inc.

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