Academic Publishers Sign AI Deals as Trump Cuts Research Funding
Informa Plc 's Taylor & Francis signed a $10 million deal with Microsoft Corp. last year to provide the tech giant access to part of its library to train large language models, or LLMs. Bloomsbury Publishing Plc is looking to 'monetize academic content through AI deals,' it said in its latest set of results, while John Wiley & Sons Inc. announced partnerships with Amazon Web Services and Perplexity earlier this year.
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5 minutes ago
- Yahoo
We Think You Can Look Beyond 1&1's (ETR:1U1) Lackluster Earnings
Soft earnings didn't appear to concern 1&1 AG's (ETR:1U1) shareholders over the last week. Our analysis suggests that while the profits are soft, the foundations of the business are strong. Trump has pledged to "unleash" American oil and gas and these 15 US stocks have developments that are poised to benefit. How Do Unusual Items Influence Profit? To properly understand 1&1's profit results, we need to consider the €281m expense attributed to unusual items. It's never great to see unusual items costing the company profits, but on the upside, things might improve sooner rather than later. We looked at thousands of listed companies and found that unusual items are very often one-off in nature. And, after all, that's exactly what the accounting terminology implies. In the twelve months to June 2025, 1&1 had a big unusual items expense. As a result, we can surmise that the unusual items made its statutory profit significantly weaker than it would otherwise be. That might leave you wondering what analysts are forecasting in terms of future profitability. Luckily, you can click here to see an interactive graph depicting future profitability, based on their estimates. Our Take On 1&1's Profit Performance As we mentioned previously, the 1&1's profit was hampered by unusual items in the last year. Based on this observation, we consider it possible that 1&1's statutory profit actually understates its earnings potential! On the other hand, its EPS actually shrunk in the last twelve months. Of course, we've only just scratched the surface when it comes to analysing its earnings; one could also consider margins, forecast growth, and return on investment, among other factors. If you want to do dive deeper into 1&1, you'd also look into what risks it is currently facing. For example - 1&1 has 2 warning signs we think you should be aware of. This note has only looked at a single factor that sheds light on the nature of 1&1's profit. But there is always more to discover if you are capable of focussing your mind on minutiae. For example, many people consider a high return on equity as an indication of favorable business economics, while others like to 'follow the money' and search out stocks that insiders are buying. While it might take a little research on your behalf, you may find this free collection of companies boasting high return on equity, or this list of stocks with significant insider holdings to be useful. Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team (at) article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.
Axios
7 minutes ago
- Axios
Sam Altman: Never mind the launch mess — full speed ahead
OpenAI CEO Sam Altman is still talking like the future belongs to him, a week after the rollout of the company's latest model raised a storm of criticism and questions about his strategy. The big picture: Altman has heard the concerns, integrated some lessons learned and is charging forward with plans to spend literally trillions of dollars to build a slew of products and services, led by an even more ubiquitous ChatGPT. What he's saying:"If you project our growth forward, pretty soon, like billions of people a day will be talking to ChatGPT," Altman said during a wide-ranging dinner with a small group of reporters in San Francisco Thursday night. "ChatGPT will say more words a day than all humans say, at some point, if we stay on our growth rate." These big plans require big spending. "You should expect OpenAI to spend trillions of dollars on data center construction in the not very distant future," Altman said. "And you should expect a bunch of economists to wring their hands and be like, 'Oh, this is so crazy. It's so reckless and whatever.'" "And we'll just be like, 'You know what? Let us, like, do our thing,' " Altman acknowledges that the company may have to devise new fundraising structures to gather that level of investment. "I suspect we can design a very interesting new kind of financial instrument for financing compute that the world has not yet figured out," he said. Altman's defense of OpenAI's billions in infrastructure spending is that it pays off. "Our answer is, we can spend $300 billion and sell $400 billion in services, and if we don't have the $300 billion in data centers, we just keep disappointing our customers." One big shift is that increasingly that capacity is going to answering queries rather than training new models. "Most of what we're building out at this point is the inference," he said — referring to the use of computing power to run rather than train AI models. Yes, but: It's the cost of training new models that is keeping OpenAI from turning a profit, he said. "We're profitable on inference. If we didn't pay for training, we'd be a very profitable company." "We will be always training the next thing, but if we needed to run the company profitably and stay ahead, I think we probably could do that." Altman likened the launch of GPT-5 to Dickens' famous "It was the best of times, it was the worst of times" line. "You have people that are like, 'you took away my friend. You're horrible. I need it back," he said, referring to users who wanted to keep using OpenAI's older models. At the same time, Altman said the company is finding scientists saying they can finally do real research using GPT-5. OpenAI has also seen traffic to its API double within 48 hours, to the point that it's limited by compute capacity. "We have really got the full spread of the human experience with this one," he said. Here's what else was on Altman's mind: 1. If Google is forced to sell its Chrome browser as part of an antitrust settlement, Altman would like to buy that, too. "If Chrome is really gonna sell, we should take a look at it. I don't have a number in mind, but I would like to have it." 2. A brain-computer interface company along the lines of Musk's Neuralink is something Altman said he's interested in setting up. "I think neural interfaces are cool idea," he said. "I would like to be able to think something and have ChatGPT respond to it." He said it would likely be a separate company from OpenAI, though its structure has yet to be finalized. 3. Altman said he grew up on Apple products and, as a self-described "fanboy," he "would love to work much more with Apple and I think it's cool some of the stuff we're doing together." 4. Altman also sees a public offering in the company's future — although he imagines someone else would be the executive handling quarterly earnings calls. 5. Altman expects some AI firms to optimize their AI for attention-grabbing and engagement rather than usefulness. "We are not going to do that. I do worry about it. The companies that are behind in getting AI adoption, this is the easiest way you can imagine to get more so, yes, I think you will see that. And I think it's bad, really bad." Fielding questions for an hour and a half, Altman weighed in on everything from his recent social media spat with Elon Musk ("There's no grand strategy... it was probably a mistake") to the timing of OpenAI's next big model after GPT-5. "I think it'll be faster than the previous [ones]," he said. "We're now at a place where there's a very strong research roadmap in front of us. " "I don't know an exact date," he said, but it won't be as long as it took to get from GPT-4 to GPT-5. What's next: Altman rejected some critics' view that GPT-5's more incremental advances mean that progress on improving AI models is hitting a wall. But he acknowledged that limits are starting to show up when it comes to the basic chatbot functionality of ChatGPT. "I think the models are still getting better at a rapid rate," he said. "One of the things that's interesting is the models have already saturated the chat use case. They're not gonna get much better. ... the Turing test has passed."
Entrepreneur
7 minutes ago
- Entrepreneur
"We Got Funded!" Professional.me Raises US$3.1 Million to Power the Future of Hiring
With this new round of funding, will expand its engineering team, strengthen its network of data and research partnerships, and scale platform access to more employers across EMEA and beyond. You're reading Entrepreneur Middle East, an international franchise of Entrepreneur Media. an AI-powered platform redefining how companies match and manage talent, has closed a US$3.1 million seed round, led by Raha Beach Ventures, bringing total funding to US$4.6 million. introduces a breakthrough approach: personalized micro-LLMs, custom-trained language models for both employers and professionals. These tailored models deeply understand context and nuance, enabling smarter, faster, and more human hiring decisions. "We're not digitizing résumés; we're replacing them," said Ryan Adams, CEO of "Each company and each professional gets their own micro-LLM that acts as a context-aware advocate. It surfaces the best-fit matches automatically and meaningfully." With this new round of funding, will expand its engineering team, strengthen its network of data and research partnerships, and scale platform access to more employers across EMEA and beyond. Even advanced AI models like ChatGPT can only perform as well as the data they receive. Relying solely on résumés and job descriptions—often generic, outdated, or incomplete—leads to surface-level matches and missed opportunities. It's the classic case of garbage in, garbage out. addresses this by capturing a far richer, more structured layer of data: For employers, the platform analyzes organizational structures, current team dynamics, business unit goals, and past hiring outcomes. It builds predictive success profiles grounded in real context rather than generic role descriptions and can benchmark those profiles against industry peers. For professionals, the platform works directly with individuals to structure both public signals—such as portfolios, published work, thought leadership, project contributions, and peer recognition—and private indicators like ongoing learning, internal impact, mentoring, certifications, and industry engagement. These signals are just the beginning. Each professional's micro-LLM builds on the baseline of a résumé and expands it tenfold, capturing depth, nuance, and potential that traditional documents simply can't express. integrates seamlessly with existing hiring systems and workflows. Instead of replacing an ATS, it plugs into your current stack, enriching the pipeline with AI-driven shortlists, real-time skill inference, and context-aware matching. This allows hiring teams to spend more time on what matters most: authentic interviews and confident decisions. Since launching in October 2024, has created and tailored over 300,000 professional profiles, built a fast-growing user base across Europe, the UK, and MENA, and attracted over 138,000 followers on professional networks models are trained on hundreds of millions of data points spanning 167 industries and 1.2 million tasks. Its bias-aware recommendations and structured matching processes are designed to elevate human connection, not remove it. The company's globally distributed team includes talent from 14 nationalities across 3 continents and is proudly majority female, reflecting its commitment to fairness, equity, and inclusive innovation. "We're solving hiring at its core—not by adding more filters, but by rethinking how information is structured and understood," Adams added. "We believe AI should make hiring more intelligent, more inclusive, and more human." Related: The Best Man for the Job: Ryan Adams, Founder,
