"As a longtime leader in this space, we believe we have a responsibility to help prepare the next generation of lawyers to keep pace with where the legal industry is today and where it's headed," said Phil Saunders, the CEO of Relativity, in a press release Tuesday.
Atlassian will seek to collect two types of data from its 300,000 global customers: metadata and in-app data from Jira, Confluence, and its other cloud products, which will then be fed into the company's models.
In statements made by investigators, the video was apparently "recovered from residual data located in backend systems." It's unclear how long such data is retained or how easy it is for Google to access it. Some reports claim that it took several days for Google to recover the data. In large-scale enterprise storage solutions, "deleted" for the user doesn't always mean that the data is gone.
AI is forcing the Big Four to rethink how work - and workers - are defined. The generalist consultant is out, and technical skills and deep industry expertise are in. PwC has launched what it's calling the "Learning Collective," a new workplace training initiative designed for the realities of the AI era. It's a broad rethink of how learning happens inside one of the world's largest professional services firms. "Skills, not titles, are the currency of this new era," the firm said in a press release.
Elon Musk's xAI is recruiting investment bankers to train its chatbot, offering between $45 and $100 an hour for a remote "Investment Banking Expert" in mergers and acquisitions, debt capital markets, and equity capital markets, according to new job postings. The hires will help train Grok, the company's chatbot, Jeffrey Weichsel, who identifies himself as a member of the program staff at xAI on LinkedIn, said in a post on X.
On the veranda of her family's home, with her laptop balanced on a mud slab built into the wall, Monsumi Murmu works from one of the few places where the mobile signal holds. The familiar sounds of domestic life come from inside the house: clinking utensils, footsteps, voices. On her screen a very different scene plays: a woman is pinned down by a group of men, the camera shakes, there is shouting and the sound of breathing.
If AI tools still feel inconsistent, slow, or hit-or-miss, the problem usually isn't the technology-it's how you're using it. trAInedup.ai focuses on the skill that actually determines results: prompt engineering. Instead of chasing new platforms, it teaches you how to get reliable, high-quality output from the AI tools you already rely on. Right now, the trAInedup.ai Basic Plan is available for a one-time payment of $79.99 (reg. $459), giving entrepreneurs lifetime access to practical, structured AI training.
AI is moving at an incredible pace and presents huge opportunity for productivity and growth. Skills England has worked rapidly with tech companies to make sure the courses chosen for the AI Skills Boost programme provide the quality and capability businesses need right now. It's also a huge step forward that everyone who completes these short courses will get digital badges that properly recognise what they've learned. It's a simple idea that will make a huge difference.
My role was straightforward: write queries (prompts and tasks) that would train AI agents to engage meaningfully with users. But as a UXer, one question immediately stood out - who are these users? Without a clear understanding of who the agent is interacting with, it's nearly impossible to create realistic queries that reflect how people engage with an agent. That's when I discovered a glitch in the task flow.
From reproductive rights to climate change to Big Tech, The Independent is on the ground when the story is developing. Whether it's investigating the financials of Elon Musk's pro-Trump PAC or producing our latest documentary, 'The A Word', which shines a light on the American women fighting for reproductive rights, we know how important it is to parse out the facts from the messaging.
My role was straightforward: write queries (prompts and tasks) that would train AI agents to engage meaningfully with users. But as a UXer, one question immediately stood out - who are these users? Without a clear understanding of who the agent is interacting with, it's nearly impossible to create realistic queries that reflect how people engage with an agent. That's when I discovered a glitch in the task flow. There were no defined user archetypes guiding the query creation process. Team members were essentially reverse-engineering the work: you think of a task, write a query to help the agent execute it, and cross your fingers that it aligns with the needs of a hypothetical "ideal" user - one who might not even exist.
For small and medium-sized businesses (SMEs), equipping employees with the latest skills and tools needs to be a priority. After all, as the competition grows, SMEs can't afford to be idle. And it's not always possible for new hires or seasoned employees to know exactly what industry demands will look like. That's why SMEs must budget for upskilling within their workforces.
1X CEO Bernt Børnich told Business Insider that his startup's new " world model" would allow Neo to learn directly from video captured by the robot itself, rather than relying on data collected by human operators. "Essentially, the world model does the same thing as the operator would do," said Børnich, adding that he expected the update to improve Neo's ability to generalize and tackle tasks it has not encountered before.
"When I first started this job, the main push back I always got was that synthetic data will take over and you just will not need human feedback two to three years from now," said Fitzpatrick, who joined the startup last year. "From first principles, that actually doesn't make very much sense." Synthetic data refers to data that is artificially created.
As AI systems grow more capable, the bar for human training has risen sharply, and generalist data labelers are being pushed aside. That's according to HireArt's 2025 AI Trainer Compensation Report, which collected information from more than 150 sources, including a survey of active workers, public job postings, and internal data. The study shows that today's AI models demand nuanced reasoning, domain expertise, and multilingual fluency, transforming "data labeling" into specialized cognitive work.
I began AI training in 2023, while I was looking for a job that involved some form of equity valuation work. I had a lot of interviews, but no offers. A recruiter had reached out to me on LinkedIn to saying she was looking for experts in finance and economics to teach AI models. I was skeptical at first, but decided to give it a shot.
