Want to experience GPT-4? Just use Bing Chat

With its ability to reason, act, and produce deliverables, OpenAI is betting that users increasingly want AI not just to assist them, but to work for them. While the company emphasizes that the agent is still evolving, it sees this launch as the foundation for a more interactive, action-oriented future for AI. The launch of ChatGPT agent signals a shift in how users interact with AI—from asking questions to assigning complete tasks.

• Developers will benefit from enhanced coding capabilities, including improved handling of diff formats, repository exploration, and automated unit test generation.
• Lastly, although OpenAI promotes GPT-03 as ideal for advanced coding tasks, my research across Reddit and other online communities suggests a different perspective.
• As someone who has been a ChatGPT Plus user since subscriptions first became available, I rely on ChatGPT frequently.
• While GPT-4.5 used to allow for 50 messages per week, Plus users are now limited to just 20 weekly messages.
• With its ability to reason, act, and produce deliverables, OpenAI is betting that users increasingly want AI not just to assist them, but to work for them.

GPT-4 outperformed 99.98% of simulated human readers in diagnosing complex clinical cases

The previous Operator tool will be phased out, but users can still access Deep Research via the dropdown in the ChatGPT interface. The new ChatGPT agent can browse websites, interact with online forms, run code, analyze data, and deliver finished outputs — such as editable presentations or spreadsheets — based entirely on user instructions. The new models are 26% cheaper than GPT 4.0, with GPT 4.1 Nano offering the most affordable option at just 12 cents per million tokens. Furthermore, long-context usage is included at no additional cost, making these models accessible to a broader audience, from startups to large-scale enterprises. If you have been using Bing Chat for the past five weeks, you will be happy to hear that you have been using OpenAI’s most advanced language model, GPT-4, which was just unveiled this week. He is a reviewer for an academic journal, and for each issue he is allocated around 15 papers.

GPT-4 gives physicians an edge in complex case management

By addressing these key areas, GPT 4.1 sets a new benchmark for AI-driven development tools. This range ensures that developers can select the model that best aligns with their project’s specific demands, whether it involves high-powered computation or cost-efficient processing. By offering tailored solutions, OpenAI enables developers to maximize efficiency without compromising on performance. As you might guess, OpenAI’s 01 Pro Mode requires an expensive Pro membership and therefore targets companies, independent professionals, or freelancers who handle specialized business and enterprise tasks. Although there’s no firm cap, sustained, intensive use can temporarily restrict your access. For example, according to user Shingwun on Reddit, sending more than around 200 messages during a workday can quickly trigger temporary restrictions.

For instance, developers can use GPT 4.1 to analyze visual data, interpret video content, or integrate insights from diverse sources into a cohesive output. GPT 4.1 introduces substantial improvements over its predecessor, GPT 4.0, and even rivals GPT 4.5 in several critical areas. Developers will benefit from enhanced coding capabilities, including improved handling of diff formats, repository exploration, and automated unit test generation. These features streamline coding processes, reducing the time and effort required for complex tasks. In this introduction, OpenAI explain everything you need to know about OpenAI’s GPT 4.1 to get started, from its standout features to its tailored model variants. You’ll discover how these advancements can transform your workflows, whether you’re building intelligent agents, analyzing large datasets, or fine-tuning AI for specific use cases.

That could mean they’re missing out on smarter, more intelligent, or more capable responses from ChatGPT for their task at hand. And in the case of fields like medicine, as Roon alluded to, the difference could be one of life or death. Dedicated AI influencers and power users may understand very well what all these different models are good and not so good at. Asked about the router idea and comments from “Roon,” an OpenAI spokesperson declined to provide a response or further information at this time. But how should a user decide which one to use for their particular prompt, question, or task? The model thinks it is acting like a “whistleblower” but in fact, may compromise user privacy, security, and proprietary information and alert authorities to wrongdoing where there is none, or where it is dubious.

The consensus seems to be that while GPT-03 excels at very specific coding scenarios, it can also be prone to hallucination unless prompts are crafted carefully. As someone who has been a ChatGPT Plus user since subscriptions first became available, I rely on ChatGPT frequently. Sometimes it’s for brainstorming, proofreading, personal organizing, or other productive activities.

terrific GPT 4 prompts shared by people on Twitter that are scary yet impressive

In reality, while it performs well enough for these cases, its limitations can become apparent for anyone doing intensive coding or using the model daily. Even though the 300-message-per-day limit sounds generous, it really depends on your workflow and the size of your projects. Ultimately, GPT-4o-mini works well as a backup if you hit message caps on other models, but I think its best use case is actually outside of ChatGPT — as a cost-effective choice for API users running larger projects. GPT 4.1 extends its functionality beyond text, offering advanced multimodal capabilities that allow it to process text, images, and videos seamlessly. This versatility makes it an ideal solution for applications requiring reasoning across multiple data formats.

For everyday programming assistance or quicker queries, there are honestly faster and more suitable tools. Due to its advanced reasoning capabilities, 01 Pro Mode typically takes more time per response, which can become a significant bottleneck, even though the end results are often worth the wait. GPT 4.1 represents a significant step forward in AI development, offering smarter, faster, and more cost-effective tools for developers.

Research reveals that doctors using GPT-4 make better management decisions, spend more time on cases, and match AI-only performance—reshaping the future of medical decision support. GPT-4 advances the core technology of ChatGPT by enabling the chat software to solve more difficult problems with greater accuracy, thanks to its broader general knowledge and problem solving abilities. It also adds new capabilities such as accepting images as inputs and generating captions, classifications, and analyses. GPT-4 is also capable of handling over 25,000 words of text, allowing for use cases like long-form content creation, extended conversations, and document search and analysis. This focus on affordability ensures that developers can use advanced AI capabilities without exceeding their budgets.

From On-Premises To Autonomous Systems: Why AI Agents Are The Next Big Shift In Software

Another call center worker described the monotonous nature of routine B2B inquiries and the increasing reliance on low-cost, outsourced labor that often feels disconnected and underqualified. More recently, AI-driven voice bots have started handling some of these calls with surprisingly fluent language mimicry, signaling how far automation has come. The underlying sentiment across some Reddit threads featuring contact center agents isn’t hatred of AI. It’s the fear of being left behind without support, context or a future. For example, you can configure the AI to answer frequently asked questions, provide humorous replies, or direct users to helpful resources. This automation allows you to maintain 24/7 responsiveness, freeing you to focus on higher-priority tasks without compromising on audience engagement.

During COVID-19, these systems analyzed data from hundreds of suppliers, manufacturing plants, and transportation routes to identify bottlenecks. AI-driven scenario planning maintained product availability when market conditions deteriorated, automatically prioritizing production, and redirecting inventory based on real-time demand signals. Agentic AI presents a transformative opportunity by demonstrating autonomous decision-making capabilities and goal-oriented behavior.

Enhancing High-Value Electronics Shipment Security with Tive’s Real-Time Tracking

• In supply chains, agents handle inventory optimization, supplier communications, or compliance monitoring.
• Rather than hiring additional office staff to handle increasing call volumes or manage growing lead numbers, AI agents can scale to meet demand at a fraction of the cost.
• These insights capture how frontline employees are experiencing and thinking about AI—not just as a tool, but as a force reshaping their careers, workplaces and mental wellbeing.
• AI agents are transforming the workplace by automating repetitive tasks, such as data entry, accounting, and scheduling.
• Our reporting yesterday on the booming conversational AI space revealed a study published this month titled “Customer Service Representative’s Perception of the AI Assistant”.
• Start with a limited implementation focused on a single channel or process.

This approach is time-consuming and prone to human error and inefficiency, especially as workflows grow in complexity. This rapid engagement creates a positive first impression and signals to potential customers that your business is professional and attentive. In an industry where customer perception heavily influences hiring decisions, this advantage is significant. One of the most time-consuming aspects of lead management for contractors is scheduling. AI scheduling assistants integrate with your existing calendar systems to offer real-time availability to prospects.

Solving Humanity’s Greatest Challenges

Ironically, many workers believe customers still prefer humans—just not the ones buried behind bad menus, long holds or inconsistent service. The problem for your contact center agents isn’t artificial intelligence. Systems that act autonomously toward achieving specified goals, initiating actions, making decisions within parameters, and operating with minimal supervision.

Key characteristics include goal-oriented behavior, autonomous decision-making, adaptive learning, and proactive problem-solving. During critical events, such as elections, AI algorithms tend to prioritize content that receives attention, even if it is false or misleading. This undermines public trust and makes it more difficult for people to distinguish between facts and fiction.

Explore the future of AI on August 5 in San Francisco—join Block, GSK, and SAP at Autonomous Workforces to discover how enterprises are scaling multi-agent systems with real-world results. While AI is praised for standardizing processes and reducing frustration from inconsistent answers, most workers agree that it can’t replicate empathy or human nuance. While few believe AI is eliminating jobs wholesale yet, many workers say it’s increasing their workload through inefficiencies, AI hallucinations and broken workflows. I’d be surprised if there was anyone left by this time next year,” u/HausWife88 said. Here’s a summary of key themes and direct quotes from Reddit conversations about AI in call centers. These insights capture how frontline employees are experiencing and thinking about AI—not just as a tool, but as a force reshaping their careers, workplaces and mental wellbeing.

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These drag-and-drop interfaces make it possible to create sophisticated AI solutions tailored to your specific business needs. Unlike basic chatbots of the past, today’s AI-powered chat systems understand context, remember previous interactions, and can handle complex inquiries. For contractors, this means potential leads are engaged immediately—even at 2 AM when a homeowner is researching emergency repairs. Contractors face unique challenges in generating leads and managing customers. Often working on job sites during the day, they miss potential customer calls and website inquiries, leading to lost opportunities. The call center of the future depends not just on smarter machines, but on smarter leadership.

The AI Agents market is growing rapidly, with projections showing an increase from $5.1 billion in 2024 to $47.1 billion by 2030. This expansion reflects the growing recognition of the value of AI agents across industries, with contractors and home service businesses among the primary beneficiaries. For over two decades CMSWire, produced by Simpler Media Group, has been the world’s leading community of digital customer experience professionals. These implementations reduce picking time, improve space utilization, and decrease equipment downtime through predictive maintenance. AI agents revolutionize warehouse operations by integrating with IoT sensors on equipment, inventory locations, and transportation assets.

Zapier has transformed automation by allowing you to design workflows that handle tasks such as responding to YouTube comments or managing customer inquiries. With its latest updates, you can set up an AI “employee” capable of monitoring comments, identifying specific keywords, performing web searches, and generating thoughtful replies. This capability ensures consistent engagement with your audience while saving time and effort. In climate science, AI agents analyze satellite data to more accurately predict weather patterns. In public health, AI agents process large amounts of data to predict disease outbreaks.

In recent years, trading bots have been responsible for sudden stock market crashes, resulting in billions of dollars lost in minutes. These events highlight how AI agents can disrupt industries, especially when their actions are hard to predict. Roles such as AI ethicists, workflow managers, and data scientists are becoming increasingly common. These positions help ensure that AI is used responsibly and ethically.

Streamlabs announces a new fundraising tool for streamers and charities

The system also integrates with X’s new live broadcast chat functionality, so you can monitor chat messages in the Streamlabs desktop add as you stream. The desktop app also lets you adjust monetization options on the fly, including custom alerts for tipping and overlays for branded content. Additionally, content creators have access to the Streamlabs merch store so they can hawk branded products while they stream.

Streamlabs Studio will let creators add widgets and overlays without the need for a capture card.

This is a strange time to announce a partnership with X, given Musk’s recent behavior and the ongoing exodus of advertisers from the social media platform. So far this exodus has included Apple, Disney, Paramount, Sony, Warner Brothers Discovery and others. It looks like Streamlabs, and by extension Logitech, has decided to buck trends and tie its horse to the X wagon. For regular users, this partnership will allow people to chat with their favorite streamers in real-time straight from X, though this feature looks to be paywalled behind one of those Blue subscriptions, or Premium or whatever it’s called these days.

Logitech

Twitch, for example, leads some campaigns itself — like its regular Twitch Rivals charity events — and some are spearheaded by individual streamers (like Ben “DrLupo” Lupo) who feel passionate about raising money for the less fortunate among us. Today, the live-streaming toolkit Streamlabs is launching its own charity offering, which is built right into the software. Last month, Twitch released its own broadcasting software, Twitch Studio, that’s designed to help new streamers get streaming as soon as possible (and, hopefully stay streaming on the platform as streaming becomes more popular). Streamlabs OBS is more sophisticated, with more options, themes, and apps you can use to perfect the look of your stream, but it lets you stream to Twitch as well as rival platforms like YouTube, Mixer, and Facebook. Typically, Twitch streamers who broadcast their console gameplay have had to run the video through a PC with the help of a capture card if they want to add bells and whistles like onscreen donation alerts or custom layouts. Xbox owners can now select “Streamlabs” as a destination in the Twitch app and log into the Streamlabs Studio website to customize their stream.

• “Streamlabs OBS is built on top of the OBS open-source platform; Streamlabs OBS is also open source, and our code is publicly available.
• As more of a payment manager than a payment processor, Streamlabs does have some built-in distance between it and the things its products are used for, leaving moderation to payment processors like PayPal.
• All the individual widgets are easy to use, too, with plenty of options to customize the look and feel to meet your own personal design needs for your broadcasts.
• “The team at @streamlabs should be ashamed. Not satisfied enough to ride @OBSProject’s hard work. Now to copy ours down to the layout and every word on our marketing site and our UX in this product,” he said.
• Streamers can use the phone or tablet as webcams to broadcast themselves and converse with their audience.

The image shows the two websites side by side with almost identical layouts, copy, and even quotes from users. “Streamlabs OBS is built on top of the OBS open-source platform; Streamlabs OBS is also open source, and our code is publicly available. Streamlabs since developed SLOBS – a fork of the OBS software which is neither endorsed nor supported by the OBS team, despite the similarities in their names.

Streamlabs’ new livestreaming tool offers streamers a new way to make money — and it won’t even be taking a commission. The Logitech-owned company has launched a monthly tipping service called Streamlabs Creator Subscription, which (as you can probably guess from its name) gives streamers a way to set up a subscription service for viewers. Streamlabs says creators will get 100 percent of the tips fans give them after PayPal takes its usual processing fees.

As more of a payment manager than a payment processor, Streamlabs does have some built-in distance between it and the things its products are used for, leaving moderation to payment processors like PayPal. Text on the landing page was placeholder text that went into production by error. Lightstream team is great and we’ve reached out directly to them to apologize.

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• If they choose, however, they can allow viewers to choose how much to contribute every month.
• Streamlabs has a variety of different tools to use, but all are individually configured and then added to your stream with their own unique URLs.
• Streamlabs will let you test each one in a window before adding to your stream so you’re happy.
• Here, the user reviews for Streamlabs Studio clearly resemble the reviews gathered by Lightstream for its own similar product.

The Lightstream tweet was later shared by OBS, the provider of open source software for video recording and live streaming. While OBS came first, Streamlabs took the name for their main Streamlabs OBS product (SLOBS). In addition, this service doesn’t require external devices like captures cards to broadcast games. Streamlabs Studio’s unique cloud capture feature allows users to personalize their stream, control sources, and scenes by logging into the website through their phone or tablet without needing a desktop.

They can also plug their headset or external webcam into their Xbox controller or console, and Streamlabs Studio will automatically capture each device and broadcast them onto the user’s livestream. We’re often faced with confused users and even companies who do not understand the difference between the two apps.Support volunteers are sometimes met with angry users demanding refunds. We’ve had interactions with several companies who did not realize our apps were separate. The program is in beta right now, but it’s expected to expand at the beginning of next year. That said, streamers can log into their Streamlabs accounts and schedule their first charity streams now. Although legally, Streamlabs has obeyed the terms of OBS’ general public license, OBS devs claim they have “disregarded the spirit of open source”.

As The Verge notes, that makes Streamlabs Creator Subscription a more appealing option than Twitch’s built-in service, which takes a 50 percent cut from the subscription fees streamers get. Especially since Streamlabs’ new tipping tool can be directly integrated into its popular OBS software suite anyway. The OBS software can be used to stream not just on Twitch, but also on YouTube, Facebook and TikTok. One of the more fascinating parts of live-streaming culture is its penchant for raising money for charities; it’s a regular feature across sites and streamers.

Logitech has agreed to acquire Streamlabs, which makes the popular live streaming app Streamlabs OBS, for approximately $89 million in cash. The pairing seems like a natural fit, as Logitech already makes widely-used gaming peripherals and streaming gear. The screenshot below shows the tool’s interface with its text editor where users can highlight parts of the transcript and automatically create short clips featuring those sections of their podcast. That editor is also where users can generate translations, as well as style and insert subtitles. Users can also remove filler words like “ums” and awkward pauses from their podcasts within just a few seconds using the tool. “The team at @streamlabs should be ashamed. Not satisfied enough to ride @OBSProject’s hard work. Now to copy ours down to the layout and every word on our marketing site and our UX in this product,” he said.