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Sony Music Entertainment has filed another lawsuit against Udio, accusing the AI music generator of infringing the copyright of more than 30,000 of its songs, ranging from Elvis Presley's Hound Dog to Beyoncé's Say My Name, and Harry Styles' As It Was. The lawsuit, filed in a New York court on Monday, claims that this […]

Index funds are touted as one of the safest ways to invest. Rather than picking and choosing individual stocks, index funds let you bet on the market as a whole. So what happens when a company like SpaceX - a giant gamble, and, in my opinion, terribly overpriced - is fast-tracked into the Nasdaq-100? Does […]

The agency stressed that the July 17 voluntary recall from Taylor Farms still stands. The supplier has been linked to the ongoing cyclospora outbreak.

The one-year-old startup aims to reinvent financial architecture for autonomous AI transactions.

A judge partially granted the request from a dozen state attorneys general to temporarily place the $110 billion merger of Paramount and Warner Bros. Discovery on hold, as reported by Variety and Reuters. US District Judge Araceli Martínez-Olguín said that based on the new company's market share, "the Court is persuaded that it can presume […]

GitHub热门项目 | Self-hosted AI coding assistant | Stars: 33,768 | 13 stars today | 语言: Rust

It's Monday morning. You open your laptop. Coffee sits beside you. LinkedIn is open in one tab. A job portal is open in another. Your inbox is empty. Before lunch, you've already applied for five jobs. Tomorrow, you'll probably do it all again. This is why people say, "Finding a job is a full-time job." But once you're living it, you realize it isn't just a saying—it's a reality. Unlike a regular job, there's no salary, no weekends off, no annual leave, and no guarantee that today's effort will lead to tomorrow's opportunity. More Than Just Clicking "Apply" From the outside, job hunting looks simple. Upload a resume. Click Apply . Repeat. In reality, every application is a small project. The resume is tailored to match the job description. A cover letter is rewritten. LinkedIn is updated. The company is researched. Interview questions are reviewed. Sometimes a portfolio is improved before clicking Submit . What looks like a two-minute application often takes thirty minutes—or more. Multiply that by dozens of applications, and job hunting quickly becomes a full-time commitment. The Numbers Nobody Sees Fifty applications. Ten automated acknowledgements. Three interview invitations. One final-round rejection. And then... The cycle begins again. Many applications never receive a response. Some positions are filled internally. Others are paused, redefined, or quietly removed. From the candidate's perspective, every unanswered application feels the same—another day without clarity. The system doesn't tell you if you were close. It only tells you if you made it. _ Waiting Becomes Part of the Process After clicking Apply , another phase begins. Waiting becomes part of the routine. Refreshing email. Checking LinkedIn. Looking for missed calls. Hoping today's notification finally brings good news. A rejection can be disappointing. But uncertainty is often harder. At least a rejection provides an answer. Uncertainty leaves people creating their own. The Work Doesn't Stop After

A few weeks ago a Business Manager handed me a 50-page AI-generated technical spec. The document was impressive. The perspective behind it was the problem. I had talked to him a few days earlier about a new internal tool the company needed. We discussed the use case and the requirements in depth. Later on, I discussed those same requirements with my IT team and assigned them the job of making the technical specification. But before my team finished, the Business Manager handed me his own spec. A spec ready to be executed. The document was generated with AI assistance and it was impressive — fifty pages long, detailed feature breakdown, implementation timeline, cost projections. Everything looked professional. The AI had done exactly what it was asked to do. I read the whole document and noticed a problem. Not with the quality of the document but with the perspective that shaped it. The spec called for a manual Excel-based workflow with several manual steps and validations in-between. All seemed clean and manageable, matching the Business Manager's mental model of how that business workflow should work. When I checked the spec my team was working on using the same AI assistance tools, I noticed they had produced something completely different: automated data ingestion, real-time dashboards, API integrations with existing systems. Both specs addressed the same business need. Both were technically sound. Both could be built in roughly the same timeframe. But they were fundamentally different architectures, shaped by fundamentally different perspectives on how work should happen. The Business Manager's version was optimized for control and visibility — he could see every step, every piece of information and approve everything manually at any stage. The technical lead's version optimized for efficiency and scale — minimal manual intervention, automated error handling, designed to handle 10x the current volume without breaking. Neither person was wrong. But the AI amplifi

A first-of-its-kind analysis found more than one in eight apps built for US service members carried foreign code—some from firms in nations the Pentagon designates as adversaries.

Hey everyone. Just an update on the Salesforce Certification. I am planning on releasing articles...

What are your goals for the week? What are you building this week? What do you want to...

If you’ve spent any time recently writing detailed product requirement documents or meticulously...

Imagine your AI assistant just produced 200 lines of code. Legally, you may not own a single line of...

Meme Monday! Today's cover image comes from the last thread. DEV is an inclusive space! Humor in...

Just why? ʅ͡͡͡͡͡͡͡͡͡͡͡(̸̢̛̼̞̭͋ͅ)̸͚̰͛̔̾̀̿͒͂:̴͓̞̑̌̂̆̊͋̀:̸͎̟̯̂̓̌ ҉ ͡ ͞ ͞ ͞ ҉● ࿀ ● ࿀ ● ҉⃝ ⃝͢ ͞ ͘ ͞⃝̕ ͢ ̛ ⃝ ̸ ̡ ͢⃝̧ ͡ ͡ ̀ ̧ ̢⃝͜ ҉ ͞ ͞ ⃝͞ ͞ ͡⃝ ⃝҉҈҉҈҉҈҉҈҉҈҉ :̶̢͙͙͕̠̩͆(̷̮͍͚̫͚͂̍)̵̳̗̊( ̟̞̝̜̙̘̗̖҉̵̴̨̧̢̡̼̻̺̹̳̲̱̰̯̮̭̬̫̪̩̦̥ What am I supposed to do with this? It's un-Googleable. Unpronounceable. It doesn't even render the same way on various platforms. It looks one way on YouTube Music. Another on Apple Music. And yet another on Bandcamp. Even the artist name ⣎⡇ꉺლ༽இ•̛)ྀ◞ […]

Hi, I'm Cesar, a Senior Software Engineer with 10+ years of experience. In 2023, I got sick and...

I would never go so far as to say there's no place for AI in music (I'm a fan of Holly Herndon, after all). But I generally find music made with generative AI to be offensively boring, especially the outputs of Suno. So I'm having a bit of a tough time processing the fact that […]

The line between editorial content and paid promotion has been eroding for years. On most major retail platforms, in countless lifestyle publications and across the breadth of social media, content that presents itself as independent assessment is frequently underwritten by the very brands being assessed. This is not a new problem, but it is a worsening one. The consequences are practical. Consumers who believe they are reading a review and acting accordingly may be making purchasing decisions on the basis of what is, in effect, an advertisement. The financial cost of that mistake is modest in most individual cases. The cumulative effect on consumer trust is not. Understanding what separates a genuine review from disguised promotional content requires more than checking for a disclosure label. It requires looking at structure, incentive, methodology and language - and recognising that some of the most effective adverts are those that most convincingly resemble reviews. What a Review Is Actually Supposed to Do A review serves one primary function: to help a reader make an informed decision about a product, service or brand. That function is incompatible with advocacy. A reviewer who is trying to help a reader decide cannot simultaneously be trying to persuade that reader to buy. This distinction sounds obvious. In practice, it collapses quickly when the person writing the review has a financial relationship with the brand, when the product was provided free of charge without conditions, or when the publication depends on advertising revenue from the sector it covers. None of those arrangements automatically invalidates the content produced. But each one creates a structural incentive that pushes in a specific direction - and that direction is rarely towards harder scrutiny. The Disclosure Problem Regulatory frameworks in the UK, including guidance from the Advertising Standards Authority and the Competition and Markets Authority, require that paid-for content be clea

In 2017, I bought an old Magnus chord organ off Craigslist for $10. It's one of my favorite music gear purchases. Electric chord organs let you play full chords with just a press of a button, making them perfect for aspiring singer-songwriters or fooling around at home. But chord organs largely fell out of favor […]

GitHub热门项目 | A lightweight WebAssembly runtime that is fast, secure, and standards-compliant | Stars: 18,382 | 17 stars today | 语言: Rust