
Business Tech News: OpenAI's New Image Generator Is Melting Servers
Here are five things in tech that happened this week in business tech news and how they affect your business. Did you miss them?
This week OpenAI released a powerful image generator tool as part of its ChatGPT offerings that displays incredibly vivid images. It's become so viral that the company says demand is 'melting' their GPUs! (Source: Open AI, CNBC)
The image generator's capabilities are extremely powerful and can have an enormous impact on your company's marketing and branding. According to the company: 'GPT-4o image generation excels at accurately rendering text, precisely following prompts, and leveraging 4o's inherent knowledge base and chat context—including transforming uploaded images or using them as visual inspiration. These capabilities make it easier to create exactly the image you envision, helping you communicate more effectively through visuals and advancing image generation into a practical tool with precision and power.' Check out this X post for some great examples.
LinkedIn has introduced updates to its Campaign Manager, aiming to enhance marketers' success. Key features include a Media Planner for forecasting campaign results, dynamic UTMs for easier tracking, and improved dashboards for detailed performance insights. Additionally, an AI-driven Campaign Performance Digest provides plain-text explanations of campaign strengths and weaknesses. (Source: LinkedIn)
According to the company, these updates focus on refining strategies, optimizing ad spend, and simplifying campaign management. Included are comments/reviews from business owners who have used these tools to enhance their campaigns. LinkedIn Campaigns are more expensive than most other social media platforms but then again you get what you pay for: access to excellent B2B data. These tools can be a big help to marketers that lean heavily on this platform.
Cybersecurity company VikingCloud has published some very telling research. Among professionals in the US, UK and Ireland, 40 percent of cybersecurity teams admitted they have avoided reporting cyber incidents due to fear of job loss. This underreporting highlights a significant gap in addressing cyber breaches globally. Despite this, 96 percent of companies surveyed expressed confidence in their ability to detect and respond to attacks in real-time, which may lead to a false sense of security. Additionally, 68 percent of teams admitted they couldn't meet the Securities and Exchange Commission's new four-day disclosure rule for cyber incidents. The report emphasizes the challenges faced by cybersecurity professionals and the need for improved resilience and response strategies. (Source: Business Wire)
Yes, this is very eye opening! Imagine not knowing about a security breach because your IT team doesn't want to admit it! This is all about company culture and having an environment where people don't have to be afraid to make mistakes. Take this information seriously and have a heart to heart with your tech people. It's better to know than not-to-know.
Otter.ai has introduced a voice-activated AI Meeting Agent that can actively participate in virtual meetings. This agent can answer questions, schedule follow-ups, draft emails, and perform other tasks based on meeting data. Initially compatible with Zoom, it will soon support Microsoft Teams and Google Meet. Otter also launched specialized agents for sales and product demos, aiming to streamline workflows and enhance productivity. The company has said it plans to release more 'vertical' agents in the future. (Source: Engadget)
I've turned a few of my clients on to this app because it does meetings so well. I think its best capabilities are when you use it on your mobile device in face to face meetings, rather than just online. Taking advantage of Otter.ai when you're at a customer allows you to focus more on the relationships and not worry about taking notes and actions. If you're going to lean into this app, I recommend using it when you're onsite, not just online.
HoneyBook has unveiled its next phase of AI-powered business management tools, designed to help service-based entrepreneurs streamline operations and boost growth. By embedding AI directly into workflows, HoneyBook enables automation that is seamless and proactive. The company claims that entrepreneurs using HoneyBook AI have reported significant benefits, including doubling their project bookings and achieving 94 percent higher gross payment volume. The platform also helps users save up to three hours per week on manual tasks, allowing more time for client work and business growth. (Source: Yahoo Finance)
For small businesses in the service sector HoneyBook is a powerful tool to help both marketing and the implementation of services. As the company leans more into AI – like many other companies like it – you can expect more time savings and better productivity. Definitely an application worth trying.
Each week I round up five business technology stories that impact small businesses and then explain why. Hope you enjoy!

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CNBC
10 minutes ago
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OpenAI's Sam Altman sees AI bubble forming as industry spending surges
OpenAI CEO Sam Altman thinks the artificial intelligence market is in a bubble, according to a report from The Verge published Friday. "When bubbles happen, smart people get overexcited about a kernel of truth," Altman told a small group of reporters last week. "Are we in a phase where investors as a whole are overexcited about AI? My opinion is yes. Is AI the most important thing to happen in a very long time? My opinion is also yes," he was quoted as saying. Altman appeared to compare this dynamic to the infamous dot-com bubble, a stock market crash centered on internet-based companies that led to massive investor enthusiasm during the late 1990s. Between March 2000 and October 2002, the Nasdaq lost nearly 80% of its value after many of these companies failed to generate revenue or profits. His comments add to growing concern among experts and analysts that investment in AI is moving too fast. Alibaba co-founder Joe Tsai, Bridgewater Associates' Ray Dalio and Apollo Global Management chief economist Torsten Slok have all raised similar warnings. Last month, Slok stated in a report that he believed the AI bubble of today was, in fact, bigger than the internet bubble, with the top 10 companies in the S&P 500 more overvalued than they were in the 1990s. In an email to CNBC on Monday, Ray Wang, CEO of Silicon Valley-based Constellation Research, told CNBC that he thought Altman's comments carry some validity, but that the risks are company-dependent. "From the perspective of broader investment in AI and semiconductors... I don't see it as a bubble. The fundamentals across the supply chain remain strong, and the long-term trajectory of the AI trend supports continued investment," he said. However, he added that there is an increasing amount of speculative capital chasing companies with weaker fundamentals and only perceived potential, which could create pockets of overvaluation. Many fears of an AI bubble had hit a fever pitch this year when Chinese start-up DeepSeek released its open source R1 reasoning model, claiming it had achieved its generative AI large language model for just $6 million, a fraction of the billions being spent by U.S. AI market leaders, including OpenAI. Earlier this month, Altman told CNBC that OpenAI's annual recurring revenue is on track to pass $20 billion this year, but that despite that, it remains unprofitable. The release of OpenAI's latest GPT-5 AI model earlier this month had also been rocky, with some critics complaining that it had a less intuitive feel. This resulted in the company restoring access to legacy GPT-4 models for paying customers. Following the release of the model, Altman has also signaled more caution about some of the AI industry's more bullish predictions. Speaking to CNBC, he said that he thought the term artificial general intelligence, or "AGI," is losing relevance, when asked whether the GPT-5 model moves the world any closer to achieving AGI. AGI refers to the concept of a form of artificial intelligence that can perform any intellectual task that a human can — something that OpenAI has been working towards for years and that Altman previously said could be achieved in the "reasonably close-ish future." Regardless, faith in OpenAI from investors has remained strong this year. CNBC confirmed Friday that the company was preparing to sell around $6 billion in stock as part of a secondary sale that would value it at roughly $500 billion. In March, it had announced a $40 billion funding round at a $300 billion valuation, by far the largest amount ever raised by a private tech company. In The Verge article on Friday, the OpenAI CEO also discussed OpenAI's expansion into consumer hardware, brain-computer interfaces and social media. Altman also said that he expects OpenAI to spend trillions of dollars on its data center buildout in the "not very distant future," and signaled that the company would be interested in buying Chrome if the U.S. government were to force Google to sell it. Asked if he would be CEO of OpenAI in a few years, he was quoted as saying, "I mean, maybe an AI is in three years. That's a long time."


Tom's Guide
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I asked ChatGPT-5 to take me behind the scenes of its brain — this is what I learned
Despite the wobbly launch, ChatGPT's latest model GPT-5 brought with it new features, personalities, and integrations. While these are the more prominent developments, I was curious about whether much has changed about the way ChatGPT handles my prompts. Straight up asking AI bots like ChatGPT, Claude, and Gemini to reveal their inner monologue or chain of thought triggers their alarms and you'll get a reply along the lines of: I'm sorry, I can't share that, but I can give you some general information about how I work instead. These thoughts could be interesting to see since they could reveal hidden insights such as the AI's biases. Biases that we already know of include ChatGPT being skewed toward Western views and that it performs best in English, for example. This most likely comes from training data bias. However, after some back and forth, there were some more details that ChatGPT-5 was willing to share about how it processes my prompts. While admitting that it couldn't give me an all-access pass to its brain, ChatGPT said it could create a mock-up human-readable version of what's going on behind the scenes when it tackles my prompts. It explained that it starts by interpreting my prompt. It uses this information to activate relevant knowledge domains before going on to build a structured outline of its answer. It also highlighted important information that helps add more context to a prompt, that have already been proven to work. Specifying who the target audience of the requested information is helps with phrasing the answer in a relevant way, as does suggesting the tone you want. The GPT-5 also mentioned that any non-negotiables in your prompt should be highlighted early on. If you're asking for help organizing an event and you have a strict budget, insert it in front of the rest of your text. If you're looking for the latest tech to buy but are only interested in new releases, slap the cutoff date at the top of your prompt. While prompts phrased as though you were speaking to your best friend work well with ChatGPT, the chatbot also revealed that phrasing prompts in the style of a JSON (a specific way of formatting text that resembles code) template could also be an efficient way to communicate when you want to insert multiple strict parameters. While using such a template may make it harder for you to read through your own prompt, it does have the benefit of potentially making it easier for you to spot if you've left any key requirements out of your prompt. In one section of ChatGPT's proposed template, you could clarify what websites and topics the chatbot is and isn't allowed to make use of. Another section dealt with setting the knowledge level for the output and what the maximum word count should be. To create your own template, use this prompt: "Create a fill-in-ready, universal JSON template that I can use for future ChatGPT prompts." If you don't feel the need to be this granular in your prompts, it's enough to keep in mind the basic principles and AI tips the template emphasizes. Re-read your prompt and ask yourself if any parts of it can be specified further. In your next prompt, instead of asking for a summary of a piece of text, ask for a 200-word paragraph instead. While asking ChatGPT to reveal its complete chain of thought wouldn't work, I did gain some insights into what mistakes it could potentially make were it to misinterpret a prompt. These include the following: While asking ChatGPT to make an exhaustive list of everything it's considering when answering a prompt, it confirmed that a technique known as few-shot prompting works. This involves sharing examples of what your ideal output looks like. 'If you have a very particular output style in mind, showing a quick example often guides ChatGPT more effectively than any amount of abstract instruction,' ChatGPT explained. So, if you always reply to emails in the same way, uploading a couple of examples could go a long way in helping ChatGPT craft responses that you'd actually use. Understanding how an LLM you're using is making decisions based on your prompt can be beneficial in various ways. It can help you understand what might be going wrong if the outputs aren't what you were hoping for and could potentially lead to unlocking restraints if you have a legitimate reason for doing so. It's also useful for the creators of the models themselves to supervise them to ensure they're behaving correctly. A new study has recently flagged that newer LLMs may become so advanced that their chain of thought could become unreadable to humans, or, can be disguised by the AI if it detects it is being supervised. Follow Tom's Guide on Google News to get our up-to-date news, how-tos, and reviews in your feeds. Make sure to click the Follow button. Get instant access to breaking news, the hottest reviews, great deals and helpful tips.
Yahoo
an hour ago
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