Artificial intelligence

Artificial intelligence

Although relational AI has potential therapeutic benefits, recent studies and emerging cases suggest potential risks of emotional dependency, reinforced delusions, addictive behaviors, and encouragement of self-harm,

When people try to sell you on the idea that the future is already settled, it's because it is deeply unsettled. I think that, y'know this promise of an artificial intelligence future, is really just a collective anxiety that very wealthy, powerful people have about how well they're gonna be able to control us. If they can get us to accept that the future is already settled - AI is already here, the end is already here - then we will create that for them. My most daring idea is to refuse.

The hardest part about investing in artificial intelligence isn't believing in the technology-it's deciding which companies will actually profit from it. Will chip makers dominate? Cloud providers? Software platforms? Infrastructure builders? The answer is probably all of them, which is why iShares Future AI & Tech ETF (NYSEARCA:ARTY) has become popular for investors wanting broad AI exposure without concentrated bets.

OpenAI is letting users decide between more, less or default options to adjust ChatGPT's personality. OpenAI gave its AI chatbot a professional makeover with the latest GPT-5.2 release, and some users are already complaining about its tone. For anyone who's finding ChatGPT rude or sassy, OpenAI has some welcome news since it's letting users further customize its personality with extra warmth or enthusiasm.

Imagine asking your AWS infrastructure a question in plain English and getting an intelligent, contextual answer - not raw JSON or CloudWatch graphs, but actual insights. That's what becomes possible when you combine the Model Context Protocol (MCP) with AWS. I recently built CloudWhisper, an AI-powered chatbot that uses MCP to connect AI models like ChatGPT and Claude directly to AWS services. In this article, I'll explain how MCP works with AWS, why it matters, and how to build your own MCP-powered AWS integration.

Every December, roadmaps get locked, budgets get approved, and board decks are polished until everything looks precise and under control. Underneath, many CTOs and VPs are still working with partial visibility. They have a feel for their teams, but not a reliable view of how work moves through the system, how AI is really changing delivery, or where time and money actually go.

Writing about the terms of Microsoft's initial $1 billion investment in OpenAI, Lanchester writes: To ensure that investors didn't make an exploitative amount of money from the arrangement, returns were capped at a hundred times the initial investment. Microsoft stood to make a paltry $100 billion. Also, the deal would end if and when OpenAI developed Artificial General Intelligence, on the basis that existing forms of money would no longer have any value.

The alarming findings were published in the journal Cell Reports Medicine, showing that four leading AI-enhanced pathology diagnostic systems differ in accuracy depending on patients ' age, gender, and race - demographic data, disturbingly, that the AI is extracting directly from pathology slides, a feat that's impossible for human doctors. To conduct the study, researchers at Harvard University combed through nearly 29,000 cancer pathology images from some 14,400 cancer patients. Their analysis found that the deep learning models exhibited alarming biases 29.3 percent of the time - on nearly a third of all the diagnostic tasks they were assigned, in other words.

The arrival of the Waymo helps clarify the challenge that lies ahead for Rivian. A few hours earlier, Scaringe was onstage in front of an audience of hundreds of investors, reporters, and influencers gathered for the company's announcement of a huge, expensive, and undeniably risky bet on autonomy and AI. The goal, he said, is for Rivian to design its own AI chips that can help power higher levels of autonomy, eventually leading to Level 4 - no human supervision required within certain limits.

The massive, rapid adoption of AI across industries - from personalized retail recommendations to automated factory floors - has created an insatiable demand for people who don't just build models, but who can integrate them into real products. This transformation makes the ML Engineering role a core pillar of modern tech. Unlike a machine learning scientist who focuses heavily on research and new algorithm creation, the ML Engineer is the one who puts that science to work.

ChatGPT users can now tweak the chatbot's warmth, enthusiasm, and emoji use, according to a social media post from OpenAI. These options (as well as similar adjustments to ChatGPT's use of headers and lists) now appear in the Personalization menu and can be set to More, Less, or Default. They allow users to further customize ChatGPT's tone, on top of the existing ability to set a "base style and tone" - including the Professional, Candid, and Quirky tones that OpenAI added in November.

In a recent interview, the former consultant at McKinsey and Innosight, a boutique firm cofounded by Clayton Christensen and Mark Johnson in 2000 and acquired by Huron in 2017, revealed the prevailing mood among the next generation of business leaders isn't just excitement-it is fear. "One of the things that really surprises me consistently is how scared our students are of using it," Anthony said.

Focusing on AI literacy and blending human expertise with emerging technologies allows organizations to develop more impactful training initiatives. As this eBook emphasizes, it's not about machines taking over jobs, but equipping employees with the know-how they need to understand how AI tools work, what their limitations are, and how they can be used ethically within the context of their roles. For example, using AI to help create compliance branching scenarios and micro-assessments to reduce workplace risks and put judgment and reasoning skills into practice.

The flap of a butterfly's wings in South America can famously lead to a tornado in the Caribbean. The so-called butterfly effect-or "sensitive dependence on initial conditions," as it is more technically known-is of profound relevance for organizations seeking to deploy AI solutions. As systems become more and more interconnected by AI capabilities that sit across and reach into an increasing number of critical functions, the risk of cascade failures-localized glitches that ripple outward into organization-wide disruptions-grows substantially.

To that end, Kodiak has developed the Kodiak Driver, a virtual driver that combines advanced AI-powered software with modular and vehicle-agnostic hardware to further address customers' needs. Kodiak Driver incorporates technology that allows a human to provide remote assistance to a vehicle in certain low-speed and clearly defined scenarios that benefit from human involvement. Verizon connectivity allows Kodiak's driverless vehicles to communicate with Assisted Autonomy drivers and send mission-critical communication between vehicles and command centres, with low latency over long distances in remote environments.

With the rapid advances in cloud and artificial intelligence, the strategic role of technology in business is fundamentally shifting from being merely a business enabler to becoming the core transformation agent for growth-and, increasingly, survival. Yet as organizations adopt or expand their enterprise cloud platforms to stay competitive and solve new business problems, they face critical challenges: how to understand the scope of the financial, skills, and labor investments they need;

Nothing has captured the imagination of investors quite like humanoid robots, though, as they've poured untold billions into the sector amid hype that bots shaped like humans stand to impact almost every part of society - particularly by replacing jobs everywhere from domestic labor to the factory floor.

"We spend an enormous, enormous amount of time really assessing the entrepreneur and how resilient they will be able to be in a moment where things are just rapidly changing," Achadjian said.

The Well‑Architected Framework, long used by architects to benchmark cloud workloads against pillars such as operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability, now incorporates AI-specific guidance across these pillars. The expanded lenses reflect AWS's recognition of the increasing complexity and societal impact of AI workloads, particularly those powered by generative models.

"Going to a client and purely proposing an army of consultants doesn't really work anymore," Gert De Geyter, a former AI lead at Deloitte US, told Business Insider. Instead of the "pure traditional consultant," firms are now looking for a blend of "generalists and technical experts," said De Geyter, who left the firm in July to join AI startup Teragonia.

Bill.com (NYSE:BILL) provides cloud-based financial automation for SMBs, processing approximately $89 billion in quarterly payment volume. The company recently launched BILL AI Agents to enable touchless B2B transactions and serves nearly 500,000 businesses through partnerships with NetSuite, Paychex, and major accounting software providers. Intuit (NASDAQ:INTU) dominates small business software through QuickBooks, TurboTax, and Credit Karma. With $19.43 billion in trailing twelve-month revenue, Intuit operates at massive scale and maintains a 21.2% profit margin.

In the last weeks of 2025, as I write this prediction, my social media feeds are awash with a new set of pronouncements about the death of photographic truth. As a historian of photography, I'm familiar with obituaries of this sort, which tend to circulate in popular media at moments when new photographic or image-editing technologies arrive on the scene that force us to reevaluate photography's capacity to represent reality accurately.

When Oracle failed to meet revenue expectations and suggested that large-scale data centers may not be ready until 2028, it immediately chilled sentiment across the entire sector. On the same day the Dow pushed to new highs, the Nasdaq was hit hard, with anything even loosely tied to AI selling off aggressively. That divergence told us the market was reassessing the timeline, not the technology.

A research team based in China used the Claude 2.0 large language model (LLM), created by Anthropic, an AI company in San Francisco, California, to generate peer-review reports and other types of documentation for 20 published cancer-biology papers from the journal eLife. The journal's publisher makes papers freely available online as 'reviewed preprints', and publishes them alongside their referee reports and the original unedited manuscripts. The authors fed the original versions into Claude and prompted it to generate referee reports.

Critical workloads from the security company are migrating to Google's cloud service, and customers will have access to broad protection for their AI deployments. The combination should provide end-to-end security, "from code to cloud" as Palo Alto Networks describes it. Customers can protect their AI workloads and data on Google Cloud with both Prisma AIRS and built-in security options from the hyperscalers.

From data entry to document management, the software applies AI to every layer of your case to save countless billable hours. Now, with its new DraftAI feature, Filevine transforms your creation of legal documents, too. A user can use natural language instructions to draft, edit or modify any kind of document without leaving the security of the Filevine system, said John Rizner, Product Manager at Filevine. During a recent demonstration, Rizner showed us how.