Latest news with #GPT-4
Yahoo
18 hours ago
- Business
- Yahoo
Amp Up Your Workflow With AI—Just $30 for 2 More Days
This site may earn affiliate commissions from the links on this page. Terms of use(Opens in a new window) . Artificial Intelligence has really taken off in the last couple of years. It's improved so much in so many different ways that the number of people using it seems to have grown exponentially. There are so many services now that it can be difficult to choose which might be best for you. Fortunately, you don't have to make that choice because you can access many of the top AI services through 1minAI. Best of all, a lifetime subscription is currently on sale for only $29.97, but only through June 1 at 11:59 p.m. PT. You'll get comprehensive writing tools such as a blog generator, keyword research, shortening, and expanding content. Audio and video tools include editing, translation, text-to-speech, and more. Advanced image processing and editing capabilities are also available, such as an image generator and editor and a background remover. Since 1minAI is powered by several different AI models, you can chat with a variety of assistants, including OpenAI, GoogleAI, Claude, GPT-4, GPT-4 Turbo, Gemini, and many more. This subscription grants you access to all AI and product features, flagship AI models, unlimited storage, unlimited prompt library, and much more. You'll get flexible use of a million credits a month, so you can use them in any combination of a variety of activities. Generate over a million words, over a thousand images, or up to 37 videos a month. Transcribe over 14,500 seconds, text-to-speech over 370,000 characters, or remove background in up to 74 images per month. You also have the chance to generate up to 450,000 additional free credits. For instance, you can get 15,000 free credits every single day that you visit the website. The new day officially begins at midnight PST. 1minAI is always improving with weekly updates, as well. It's easy to see why 1minAI has a rating of 4.7 out of 5 stars on Trustpilot. Get a lifetime subscription to 1minAI today, while it's available for only $29.97 (reg. $234) through June 1 only. StackSocial prices subject to change.
Yahoo
2 days ago
- Business
- Yahoo
The CEO of a top AI startup gave a stark warning about the tech's impact on the labor market
This post originally appeared in the Business Insider Today newsletter. You can sign up for Business Insider's daily newsletter here. Good morning! A federal court ruled President Donald Trump doesn't have the authority to impose some of his tariffs. The three-judge panel's unanimous ruling declared the tariffs would be vacated, throwing a massive wrench into what has been a key piece of Trump's second term. The federal government has filed a notice of appeal on the court's decision. We're also looking at Anthropic's CEO stark warning about the tech's impact on the labor market. What's on deck Markets: The internet has a new favorite meme trade. Tech: Nvidia shows no signs of slowing down amid tariff uncertainty. Business: Elon Musk says his time as a government employee is coming to an end and thanks Trump. But first, AI in the office.A top AI executive is ringing the alarm bell on … AI. Anthropic CEO Dario Amodei predicted AI could eliminate half of all entry-level white-collar jobs and push unemployment to as high as 20% within the next five years. The above might seem like a coy way of touting a product's power in an ultra-competitive space, but Amodei told Axios he has "a duty and an obligation to be honest about what is coming." Some companies are ready to push the limits of an AI-led workforce. Take Retool, a platform for building AI applications. Its CEO, David Hsu, told BI's Lakshmi Varanasi its clients are asking "How do we get LLMs to actually replace labor?" It wasn't always supposed to be like this. Remember when AI was going to supercharge employees? The tech was going to make us as efficient as possible! Humans and AI — the best collab since peanut butter and jelly. So what happened? AI costs a lot of money to develop, and that's a problem with so much economic uncertainty. Sprinkle in an industry push to increase efficiency and reduce bureaucracy, and robots suddenly look much better than humans. The great AI automation comes with risks, though. (And I'm not talking about entrusting your business to a black box you don't really understand.) As BI's Katie Notopoulos recently detailed, the excitement a CEO (and their investors) has over AI adoption isn't always matched by their customer base. Just ask Duolingo. It's not bad news when it comes to AI. I hate to leave you on such a downer, especially right before a summer Friday. Here are some ways people are making AI work for them. Mark Quinn saw the work he was doing at a startup quickly become irrelevant thanks to the launch of GPT-4. It was a bitter pill to swallow, but Quinn found a silver lining: use AI to help find his next gig. Here's how he did it. AI was supposed to kill ad agencies. (At least, that's what OpenAI's CEO Sam Altman once predicted.) But three creative directors told BI's Lara O'Reilly how AI has helped them win more business. Finally, something for the young developers out there. Plenty of tech executives have said junior coders are an endangered species thanks to AI's programming capabilities. But AWS executive Rory Richardson sees AI giving a big boost to people early in their careers, allowing them to catch up to veteran employees. She's not alone in viewing AI as the great equalizer in the workplace. 1. GameStop made its first-ever crypto investment. Making good on its promise to buy bitcoin, the gaming retailer announced that it purchased 4,710 tokens, which are worth about $510 million. It's the latest company to add bitcoin to its balance sheet. 2. For Wall Street, TACO Tuesday is now every day. Investors are living by a new rule to play the market: TACO, or "Trump Always Chickens Out," the idea that markets can bet on Trump walking back tariff proposals. 3. Wealthy clients wanted. JPMorgan is opening 14 new financial centers across four states, offering highly specialized services to people with at least $750,000 in deposits and investments. It's part of the bank's greater mission to woo the millionaire class. 1. Meta wants to get physical. The tech giant is working on a project to open physical stores and hire retail workers, per an internal communication seen by BI. The plan could boost its hardware products' sales, although it's unclear how many stores Meta might open and when. 2. Apple's playing catch-up in the AI race. Apple has very few of the AI building blocks its competitors enjoy, some of which have been in the making for 25 years. It may need to partner with rivals or make acquisitions to catch up, BI's Alistair Barr writes. 3. Nvidia beat Wall Street's Q1 forecast. The chip giant reported revenue of $44.06 billion, compared to estimates of $43.32 billion, with the stock up 3% in after-hours trading. However, Nvidia's China sales were hit hard by US export restrictions, and it expects to take $8 billion in losses of H20 chips revenue in Q2. 1. Millennial divorce is here, and it's expensive. Divorce isn't as common among millennials as it was among boomers, but it's much more financially disruptive. It can potentially decimate savings and lock divorcees out of the housing market. Often, women pay the steepest price. 2. Elon Musk's exit from the government. The Tesla and SpaceX CEO announced on Wednesday his time as a US government employee is coming to an end, and thanked President Trump for the opportunity to "reduce wasteful spending" at DOGE. His announcement came a day after he criticized Trump's "big beautiful bill," saying it undermined DOGE's work. 3. Trump's Big Law losing streak. Federal judges have blocked the Trump administration's executive orders targeting WilmerHale, Jenner & Block, and Perkins Coie, and they're citing Trump's deal with Paul Weiss as an example. Here are five of the sharpest takedowns from judges so far. A Carta exec's resignation letter accused the CEO of sexism. She says she didn't write it. Wired's editor told BI's Peter Kafka how she got 62,000 new subscribers in two weeks. Marc Benioff-backed influencer agency Whalar Group is buying a creator startup for $20 million as M&A ramps up. 'Lilo & Stitch' is a smash hit. Here are the movies Disney could remake next. A global talent leader at EY shares the three soft skills she looks for in job applicants. A Salesforce exec tells BI there's an even more important skill for employees than coding. McKinsey's staff numbers have dropped by more than 10% in the last 18 months. My name is Chad. Yes, I'm white, work an office job, and sometimes I wear a vest. Bureau of Economic Analysis publishes revised GDP growth figures for Q1 2025. "Manhattanhenge" — when the sunset aligns perfectly with Manhattan's street grid — returns. Costco, Gap, and Best Buy report earnings. The Business Insider Today team: Dan DeFrancesco, deputy editor and anchor, in New York. Hallam Bullock, senior editor, in London. Grace Lett, editor, in Chicago. Amanda Yen, associate editor, in New York. Lisa Ryan, executive editor, in New York. Ella Hopkins, associate editor, in London. Elizabeth Casolo, fellow, in Chicago. Read the original article on Business Insider
Forbes
2 days ago
- Business
- Forbes
AI Agents To Agentic AI: What's The Difference In The Automation Game
The generative AI boom, catalyzed by OpenAI's ChatGPT in late 2022, ushered in a new era of intelligent systems. But as businesses push beyond static language models, two paradigms have emerged in automation, central to the future of enterprise AI: AI Agents and Agentic AI. While both represent an evolution from generative systems, their operational scopes are redefining how organizations approach automation, decision-making, and AI transformation. As enterprise leaders seek to integrate next-gen AI into their workflows, understanding the distinctions between AI Agents and Agentic AI for automation—and their distinct strategic advantages—has now become an operational imperative. Traditional AI Agents are autonomous software systems that execute specific, goal-oriented tasks using tools like APIs and databases. They are typically built on top of large language models (LLMs) such as GPT-4 or Claude 3.5, and excel in domains like customer service, scheduling, internal search, and email prioritization. What differentiates AI Agents from generative AI is their tool-augmented intelligence—they don't just respond to prompts; they plan, act, and iterate based on user goals set up earlier in the process. Popular implementations include OpenAI's Operator or ClickUp Brain—agents that autonomously complete HR tasks, automate workflows, or even handle enterprise search across documentation platforms. According to recent benchmarks, AI Agents have reduced customer support ticket resolution time by over 40% and increased internal knowledge retrieval accuracy by 29%. These capabilities underscore their utility in modular, well-defined environments. However, as enterprises grow more complex, the need for multi-agent orchestration becomes paramount. Agentic AI represents an architectural leap beyond standalone agents. These systems are composed of multiple specialized agents—each performing distinct subtasks—coordinated by a central orchestrator or decentralized communication layer. Think of it as an intelligent ecosystem rather than a single-function intelligent tool. Agentic systems shine in high-complexity environments requiring goal decomposition, contextual memory, dynamic planning, and inter-agent negotiation. In applications like supply chain optimization, autonomous robotics, and research automation, they outperform single-agent systems by enabling concurrent execution, feedback loops, and strategic adaptability. Consider a real-world use case: a research lab using a multi-agent AutoGen pipeline to write grant proposals. One agent retrieves prior funded documents, another summarizes scientific literature, a third aligns objectives with funding requirements, and a fourth formats the proposal. Together, they produce drafts in hours, not weeks—reducing overhead and boosting approval rates. Agentic AI also introduces persistent memory, semantic coordination, and reflective reasoning—capabilities essential for adaptive learning and long-term task fulfillment. While promising, both AI Agents and Agentic AI face notable challenges. AI Agents struggle with hallucinations, brittleness in prompt design, and limited context retention. Agentic AI, on the other hand, contends with coordination failures, emergent unpredictability, and explainability concerns. While the challenges are prevalent for both automation approaches AI Agents and Agentic AI, emerging solutions are on the rise, and its only a matter of time before we work out the kinks and we live in a world run by agents. Although we're still very much in the infancy stages, AI continues its meteoric rise and the transition from reactive generative models to autonomous, orchestrated agentic systems marks a pivotal inflection point. AI Agents have already proven their value in task automation, but Agentic AI is redefining what's possible in strategic domains—from scientific research to logistics and healthcare. For business leaders, organizations that master this next frontier of intelligence and automation won't just become more efficient and productive—they have the chance to innovate, scale, and lead in ways never been seen before.
Business Insider
2 days ago
- Business
- Business Insider
The CEO of a top AI startup gave a stark warning about the tech's impact on the labor market
Good morning! A federal court ruled President Donald Trump doesn't have the authority to impose some of his tariffs. The three-judge panel's unanimous ruling declared the tariffs would be vacated, throwing a massive wrench into what has been a key piece of Trump's second term. The federal government has filed a notice of appeal on the court's decision. We're also looking at Anthropic's CEO stark warning about the tech's impact on the labor market. What's on deck Markets: The internet has a new favorite meme trade. Business: Elon Musk says his time as a government employee is coming to an end and thanks Trump. But first, AI in the office. If this was forwarded to you, sign up here. The big story AI's new job Getty Images; Chelsea Jia Feng/BI A top AI executive is ringing the alarm bell on … AI. Anthropic CEO Dario Amodei predicted AI could eliminate half of all entry-level white-collar jobs and push unemployment to as high as 20% within the next five years. The above might seem like a coy way of touting a product's power in an ultra-competitive space, but Amodei told Axios he has "a duty and an obligation to be honest about what is coming." Some companies are ready to push the limits of an AI-led workforce. Take Retool, a platform for building AI applications. Its CEO, David Hsu, told BI's Lakshmi Varanasi its clients are asking " How do we get LLMs to actually replace labor?" It wasn't always supposed to be like this. Remember when AI was going to supercharge employees? The tech was going to make us as efficient as possible! Humans and AI — the best collab since peanut butter and jelly. So what happened? AI costs a lot of money to develop, and that's a problem with so much economic uncertainty. Sprinkle in an industry push to increase efficiency and reduce bureaucracy, and robots suddenly look much better than humans. The great AI automation comes with risks, though. (And I'm not talking about entrusting your business to a black box you don't really understand.) As BI's Katie Notopoulos recently detailed, the excitement a CEO (and their investors) has over AI adoption isn't always matched by their customer base. Just ask Duolingo. I hate to leave you on such a downer, especially right before a summer Friday. Here are some ways people are making AI work for them. Mark Quinn saw the work he was doing at a startup quickly become irrelevant thanks to the launch of GPT-4. It was a bitter pill to swallow, but Quinn found a silver lining: use AI to help find his next gig. Here's how he did it. AI was supposed to kill ad agencies. (At least, that's what OpenAI's CEO Sam Altman once predicted.) But three creative directors told BI's Lara O'Reilly how AI has helped them win more business. Finally, something for the young developers out there. Plenty of tech executives have said junior coders are an endangered species thanks to AI's programming capabilities. But AWS executive Rory Richardson sees AI giving a big boost to people early in their careers, allowing them to catch up to veteran employees. She's not alone in viewing AI as the great equalizer in the workplace. 3 things in markets 1. GameStop made its first-ever crypto investment. Making good on its promise to buy bitcoin, the gaming retailer announced that it purchased 4,710 tokens, which are worth about $510 million. It's the latest company to add bitcoin to its balance sheet. 2. For Wall Street, TACO Tuesday is now every day. Investors are living by a new rule to play the market: TACO, or " Trump Always Chickens Out," the idea that markets can bet on Trump walking back tariff proposals. 3. Wealthy clients wanted. JPMorgan is opening 14 new financial centers across four states, offering highly specialized services to people with at least $750,000 in deposits and investments. It's part of the bank's greater mission to woo the millionaire class. 3 things in tech 1. Meta wants to get physical. The tech giant is working on a project to open physical stores and hire retail workers, per an internal communication seen by BI. The plan could boost its hardware products' sales, although it's unclear how many stores Meta might open and when. 2. Apple's playing catch-up in the AI race. Apple has very few of the AI building blocks its competitors enjoy, some of which have been in the making for 25 years. It may need to partner with rivals or make acquisitions to catch up, BI's Alistair Barr writes. 3. Nvidia beat Wall Street's Q1 forecast. The chip giant reported revenue of $44.06 billion, compared to estimates of $43.32 billion, with the stock up 3% in after-hours trading. However, Nvidia's China sales were hit hard by US export restrictions, and it expects to take $8 billion in losses of H20 chips revenue in Q2. 3 things in business 1. Millennial divorce is here, and it's expensive. Divorce isn't as common among millennials as it was among boomers, but it's much more financially disruptive. It can potentially decimate savings and lock divorcees out of the housing market. Often, women pay the steepest price. 2. Elon Musk's exit from the government. The Tesla and SpaceX CEO announced on Wednesday his time as a US government employee is coming to an end, and thanked President Trump for the opportunity to "reduce wasteful spending" at DOGE. His announcement came a day after he criticized Trump's "big beautiful bill," saying it undermined DOGE's work. 3. Trump's Big Law losing streak. Federal judges have blocked the Trump administration's executive orders targeting WilmerHale, Jenner & Block, and Perkins Coie, and they're citing Trump's deal with Paul Weiss as an example. Here are five of the sharpest takedowns from judges so far. In other news A Carta exec's resignation letter accused the CEO of sexism. She says she didn't write it. Wired's editor told BI's Peter Kafka how she got 62,000 new subscribers in two weeks. Marc Benioff-backed influencer agency Whalar Group is buying a creator startup for $20 million as M&A ramps up. 'Lilo & Stitch' is a smash hit. Here are the movies Disney could remake next. A global talent leader at EY shares the three soft skills she looks for in job applicants. A Salesforce exec tells BI there's an even more important skill for employees than coding. McKinsey's staff numbers have dropped by more than 10% in the last 18 months. My name is Chad. Yes, I'm white, work an office job, and sometimes I wear a vest. Getty Images; Jenny Chang-Rodriguez/BI John Minchillo/AP What's happening today The Business Insider Today team: Dan DeFrancesco, deputy editor and anchor, in New York. Hallam Bullock, senior editor, in London. Grace Lett, editor, in Chicago. Amanda Yen, associate editor, in New York. Lisa Ryan, executive editor, in New York. Ella Hopkins, associate editor, in London. Elizabeth Casolo, fellow, in Chicago.
Business Insider
2 days ago
- Business
- Business Insider
I lost my job to AI, but then used it to supercharge my search for a new role
Mark Quinn is the senior director of AI operations for Pearl, an AI search platform for professional services. In a prior role at a startup, the arrival of OpenAI's GPT-4 meant artificial intelligence could do the work of a team he was building. The following has been edited for brevity and clarity. In my last job, I was at a startup. Before that, I was leading engineering operations at Waymo. It was a 3,000-person organization, a rocket ship all its own. In other words, my career was fairly well established and going well by most indications. So, when the startup came along, it was about this bigger swing and this even bigger opportunity, potentially, to help this company unlock what they were going after. My main role in that was to lead what was the primary human-in-the-loop operation responsible for supervising and curating the AI. When I joined, it was already a 500-person strong organization, and I was hired to ramp it to thousands. By all indications, we were doing the job really well. Then GPT-4 came out. After playing with it for just a couple of months, we realized that the bulk of the operation that I was scaling, really the entirety of it, was no longer needed. The technology had simply outpaced itself and the human in the loop. I then spent my last few months there ramping that operation down and setting up a couple of other AI-related agents to help with things like quality technical writing. Once that was in place, my skills simply weren't needed there. It was not a super fun moment, and it was very, very bumpy. We had hundreds of people doing this work globally, so we had to figure out how to ramp down those contracts as gracefully as possible to allow these folks to have time to hopefully get into other roles. On my team of about 10 people, only one person stayed on. 'Info workers beware' In my career, I'd gone from a place where companies like Waymo, Apple, and Amazon were coming to hire me to being out of a job and unable to get the attention of any company. This moment is making it such that these great companies now have way more capability and people than they may need. So, you've got a lot of great people that are now having to find their next play, but the next plays are dramatically changing. When I was hired at the startup, I spent the next four months with my team working tirelessly on basically solving this case and figuring out the right staffing and management model. Then GPT-4 came out, and when I gave it the case, it was an epiphanal moment. It spit out the exact answer — the perfect answer — in 30 seconds, including what we thought were very clever adaptations that had taken us a week to identify. It not only gave us the answer but also the methods. I just sat there with my jaw in my hand. That was the moment that I thought to myself, "Info workers beware." My own pivot After we began to wind down the operation, I started looking around to figure out what my next play would be. I spent about five months conducting my job search the wrong way and getting nowhere. I remember this moment sitting there, again, with my jaw in my hand, wondering, "What am I doing wrong?" It came out of that moment of almost desperation, saying, "I've asked everybody else. AI, what do you got?" It came back with more nuance and appreciation than I ever could have imagined. That's when I moved into collaboration mode with AI. One example was with Google's NotebookLM. When it came out, people had fun with the idea of putting their résumés into it and creating a podcast. I actually found incredible utility in doing that. It's interesting to drop your résumé and your LinkedIn profile into NotebookLM and see what AI makes of your career. What does it call out as the highlights? When I did this, I realized that there were great things about my background and experiences that I wasn't telling people because I didn't see or appreciate them, but this podcast called them out. Before using AI, I wrote a nice cover letter, updated my résumé, and started looking around on LinkedIn and applying. I was using my network, casting the line. I wasn't just in a corner quietly hoping something would come to me, but it was the traditional approach of, "Here's the résumé that I made for every job. Here's a cover letter with a few tweaks." I was essentially cold applying and trying to hit people up on LinkedIn. Most people have probably heard that you should tailor your résumé, cover letter, or communications for a role. But that's hard when you're in the grind and just trying to get a job. You've already applied to a bunch, and you're tired and don't want to stare at the same words again and again. This is where AI is extremely helpful. I also created what I called JobHunt GPT. Now I've turned it into CareerBuddy GPT, but JobHunt GPT was what came out of all this exploration. In my case, it was a custom GPT that understood my background, where I was trying to go, and the history of the jobs I'd applied for. So, I was able to go to it and say, "Hey, here's a new job. Can you assess my candidacy for this?" The first thing I get is an objective review of how I mesh up against a role. Then, I can say, "Alright, pick apart my résumé. What do I need to adjust?" It can generate the updated résumé, focusing on the things that are important for the role. And it can write the cover letter and identify the key people for me to reach out to. It's essentially like lead analysis and lead development. My advice to anybody else would be, don't wait five months to figure out the right way to do it. The world has changed. This applies to anything, but especially if you're looking for a job, you have to leverage the most powerful tool available, which is AI.
