Feed aggregator

Not liking the design of the currently common ones so I made my own.

Comments URL: https://news.ycombinator.com/item?id=49258000

Points: 1

# Comments: 0

Article URL: https://aivillage.org/

Comments URL: https://news.ycombinator.com/item?id=49257980

Points: 1

# Comments: 0

Article URL: https://www.optoutproject.net/egosystems/

Comments URL: https://news.ycombinator.com/item?id=49257970

Points: 1

# Comments: 0

Article URL: https://github.com/dbward-dev/dbward

Comments URL: https://news.ycombinator.com/item?id=49257957

Points: 2

# Comments: 0

Article URL: https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4

Comments URL: https://news.ycombinator.com/item?id=49257947

Points: 2

# Comments: 0

Hey Everyone!

I have built this last year and being used by many teams in my company and outside. Sharing with the HN community for your use and feedback.

About:

A lightweight, TypeScript-first mocking library for AWS SDK v3 and Vitest with zero dependencies, full ESM/CJS support, chainable stubs, partial/strict request matching, sequential responses, and custom Vitest matchers — ideal for unit testing AWS SDK v3 clients.

Comments URL: https://news.ycombinator.com/item?id=49257927

Points: 2

# Comments: 0

Article URL: https://www.tomshardware.com/pc-components/cpus/amd-had-to-re-engineer-the-ryzen-7-5800x3d-for-a-re-release-10th-anniversary-edition-chip-had-a-whole-body-of-engineering-work-put-into-it

Comments URL: https://news.ycombinator.com/item?id=49257920

Points: 1

# Comments: 1

Article URL: https://www.billboard.com/pro/spotify-label-identify-ai-artists/

Comments URL: https://news.ycombinator.com/item?id=49257917

Points: 1

# Comments: 0

Article URL: https://blog.hartwork.org/posts/expat-2-8-3-released/

Comments URL: https://news.ycombinator.com/item?id=49257903

Points: 1

# Comments: 0

Article URL: https://littlefedi.org/

Comments URL: https://news.ycombinator.com/item?id=49257887

Points: 1

# Comments: 0

Article URL: https://stolen-thoughts.com/

Comments URL: https://news.ycombinator.com/item?id=49257876

Points: 1

# Comments: 0

Article URL: https://github.com/krasserm/agent-exchange

Comments URL: https://news.ycombinator.com/item?id=49257861

Points: 2

# Comments: 1

Article URL: https://showme.missouri.edu/2026/mizzou-discovery-could-change-how-scientists-measure-the-universe/

Comments URL: https://news.ycombinator.com/item?id=49257860

Points: 3

# Comments: 0

Article URL: https://www.quantamagazine.org/neutrinos-from-deep-inside-earth-provide-a-new-picture-of-the-mantle-20260807/

Comments URL: https://news.ycombinator.com/item?id=49257853

Points: 3

# Comments: 0

Hey HN! We’ve been working on this project for almost 3 years now, and recently decided to finally make it open source.

It’s a local-first video editor that runs in the browser and is mostly built from scratch. We’re using WebCodecs for all the encoding and decoding work, which lets us get performance pretty close to native editors.

Since day one the goal of the project was to solve LLM-based video editing, but the models have only recently become capable enough to make it genuinely useful. Instead of trying to force our own chat interface onto users, we built a CLI that is designed to work with existing coding agents like Claude Code.

The idea is that agents can operate the editor directly, while you can still open the same project in a visual interface to review their work and change things yourself.

A few things that set it apart from other NLEs: - The editor is an infinite canvas (kind of like Figma, but for video editing) - You can build compositions as SolidJS modules and mount them through the CLI - Editing and rendering happen locally. The editor can render both HTML and GPU native entities - Everything that runs on your device is completely free, including 4K/60 fps exports, unlimited projects, and no footage duration limit - Your footage stays on your device unless you explicitly use one of our analysis services. For transcription, we only upload the audio track

So when it’s open source, how do we intend to finance future development?

Coding agents don’t include every backend service they need to understand footage and make accurate editing decisions. We provide optional services like transcription, multimodal understanding, and object tracking, which we bill with a small margin.

What can agents currently do with the editor? - A lot of common post-production work: social media edits, captions, color grading, zoom effects, and animations - We recently added support for the html-in-canvas API, which turned out to be really useful for creating serious motion graphics - Video and audio understanding. For example, you can ask an agent to find certain scenes, summarize a YouTube video, or identify the relevant parts of a longer recording.

There’s still quite a lot we want to build. A few of the bigger things on our backlog: - Agentic edits based on beats and other audio characteristics - Native 3D capabilities - A full WebGPU renderer - A native color-grading UI

Would love to get some feedback & happy to answer any questions!

Comments URL: https://news.ycombinator.com/item?id=49257843

Points: 1

# Comments: 0

Researchers say it took fewer than 20 prompts for a public AI tool to find a flaw (now fixed) allowing anyone on a Zoom call to hijack another participants’ device.

Young people use AI for everything. From schoolwork to interview prep, relationship advice to shopping decisions, the technology has become part of how young people live. For the most digitally fluent generation ever, AI is a competitive edge, a creative partner, and an always-on assistant. 

But the same technology making young people’s lives easier is also making the internet harder to navigate. AI is making scams more convincing, identities easier to manipulate, and online content harder to trust. Seven in ten (70%) 18-to-22-year-olds have experienced an AI-related scam in the last year, compared to half of the general population. And nearly every young person worries AI will be used against them. 

This isn’t happening because young people are reckless. It’s happening because the online platforms they rely on for everyday life now double as entry points for AI threats: social feeds where manipulated content and real content sit side by side, online marketplaces filled with fake storefronts and reviews, messaging channels where threats can be personalized, and AI tools that can make false information feel like the truth. 

That creates a new kind of safety burden. Young people are being asked to use AI, judge its output, protect their identities, and avoid increasingly personalized scams all at once. The result is a digital life that feels more powerful, but also more vulnerable to abuse. 

The internet is getting harder for young people to trust 

The internet young people grew up with isn’t the same one they’re facing today. AI has changed the landscape, making it harder for even these digital natives to know what information is credible and safe. Half of 18-to-22-year-olds strongly agree that it’s becoming harder to tell what content is genuinely human or real.  

Young people have had a front row seat to how AI can bend the truth. Nearly half have seen AI provide information they knew or later found out was wrong or misleading (44% versus 30% of the general population). Nearly one in four (23%) have suffered negative consequences because of AI advice, compared with 16% of the general population, and 18% say they have suffered emotionally from AI advice, compared with 12% of the general population. For a generation using AI in every corner of their lives, bad information can have lasting effects on their credibility, reputation, and relationships. 

Many young people have changed how they engage online as a result: 

• 47% of young people say AI has changed how much they trust reviews or content, compared with 37% of the general population 
• 35% say AI has changed how they shop online, compared with 26% 
• 32% say AI has changed how they present themselves professionally, compared with 20% 
• 19% say AI has changed how they date or communicate romantically, compared with 10% 

As one young person said about online dating:

“Dating isn’t an option for me online anymore. You just never know what is or isn’t AI, and I don’t want to spend a lot of time on someone fake.” 

AI is making it easier for scams to reach young people 

The harder it becomes to tell what is real, the easier it becomes for scams to work. For young people, AI is fueling a wave of scams that are more personal and invasive than ever before. 

• Nearly one in four young people have been a victim of an extortion scam of some kind (24% versus 17% of the general population). 
• Nearly one in five have been a victim of a deepfake or virtual kidnapping scam (19% versus 8%). 
• Nearly one in ten have been a victim of sextortion (8% versus 7%). 
• More than one in ten have been a victim of an impersonation scam (14% versus 10%). 
• More than one in ten have been a victim of a romance scam (12% versus 10%). 

What’s striking isn’t just how many young people have been victimized—it’s how many have been targeted: 

• More than half have been the target of an extortion scam (56% versus 42% of the general population). 
• 47% have encountered an impersonation scam (versus 35%) 
• 46% have encountered a romance scam (versus 33%). 
• More than four in ten have been targeted by a deepfake or virtual kidnapping scam (43% versus 26%).  
• Nearly four in ten have encountered sextortion (38% versus 24%). 

These scams may look different on the surface, but they all work the same way: they exploit fear, trust, shame, and intimacy. The more often young people encounter them, the more chances scammers have to find exactly which emotional triggers work. 

This exposure isn’t random. Young people are on social platforms at rates up to three times those of the general population: 89% use Instagram (versus 55% of the general population), 78% use TikTok (versus 38%), 68% use Snapchat (versus 26%), and 49% use Pinterest (versus 25%). Scammers can use these platforms to get everything they need to make their threats more convincing: public photos, friend networks, school affiliations, relationship clues, and everyday posts containing personal information. With AI, scammers can use that content to create explicit images, clone voices, impersonate profiles, and create threats personalized with details that are hard to ignore. 

One young person shared their experience:

“I had someone make fake nudes of me using AI on my photos from my social media and threaten to post them on Facebook after I realized that they had scammed me. I decided to be more careful with my personal information.”  

Young people fear AI will steal what money cannot replace: identity, reputation, and sense of self 

AI-fueled scams aren’t just scams in the traditional sense. They are forms of identity abuse. This is different from traditional identity theft. For young people, the risk isn’t only that someone steals a password or money. It’s that scammers can use AI to make them appear to say, do, or share something they never did, with consequences that can follow them in their personal and professional lives.  

That’s why young people are so concerned about AI being used against them. The fears that hit hardest: 

• 88% worry about AI being used to harm their professional or personal reputation versus 77% of the general population 
• 82% worry about someone creating a fake profile pretending to be them versus 76% 
• 81% worry about someone creating fake nude or sexually explicit photos or videos of them versus 62%; 15% say it’s happened to them already (versus 10%) 
• 80% worry about being deceived by someone using AI to fake their identity in an online relationship versus 67% 

These threats are especially powerful at a life stage where young people are still building their personal and professional reputations. A fake profile, manipulated image, or AI-generated explicit video can affect how everyone from classmates and professors to potential employers and romantic partners see them for years to come.  

Young people are pulling back online, but protection is still too manual 

Many young people are responding by retreating. 80% are sharing or posting less online than they were a year ago, versus 61% of the general population. Compared to the general population, more 18–22-year-olds have also taken AI-related protective measures like tightening privacy settings, removing unknown followers, using reverse image search to verify content, requesting data removal, and watermarking their own photos and videos.  

Those actions matter, but they also show how much responsibility has been pushed onto individuals. Staying safer online now means constantly reviewing settings, checking sources, questioning content, and so much more. That’s a lot to ask of anyone, and the fatigue is showing: 42% of young people say they receive so many warnings they have stopped paying attention, compared with 36% of the general population. It’s hard to sustain vigilance when new risks are always emerging. 

At the same time, completely opting out isn’t realistic. Young people remain deeply embedded in digital life, and they’re still some of AI’s most enthusiastic adopters: 74% say AI has had a positive impact on their lives, compared with 57% of the general population. They aren’t rejecting AI or the internet, but they are carrying more of the safety burden than they should have to.

What young people can do to help decrease their risk right now 

• Know the scams targeting you. Extortion, sextortion, deepfakes, and romance scams disproportionately target young people. If someone contacts you with threats of any kind, do not pay. Report it to the platform and to authorities. 
• Button up your social media. Everything you post publicly is available to anyone, including scammers. Tighten privacy settings on the platforms you use most and review your followers regularly. 
• Don’t trust product images alone. Before buying from an unfamiliar retailer, use reverse image search on product photos and look for independent reviews off the retailer’s own site. 
• Create a family code word. Make sure you agree on this word in person, not online. If you receive a panicked call from someone you know asking for money or information, verify they are who they say they are with the code word. 
• Don’t reuse passwords. If one password gets stolen in a data breach, it will likely get tried on all other accounts you might have. Use a different password for every account to keep your accounts locked down. 
• Turn on two-factor authentication on all your important accounts. Only 30% of young people have done this. It is one of the highest-impact protections available and takes under five minutes to set up. 
• Protect your devices. Use security software on all your devices, and keep all your software up to date to make sure you’re patched against all known security holes.

Malwarebytes Student Protection Program

If you’re a student or work at a university, Malwarebytes Student Protection Program provides two years of free Premium Security for three devices for all US college or university students, staff and faculty. 

This includes Malwarebytes device protection for laptops, tablets, and mobile phones with built-in scam protection. It protects against creepy trackers and ads, and blocks malware, ransomware, and cybercriminals themselves.

Sign up at malwarebytes.com/student.

About the research 

The research in this article is based on a March 2026 survey about AI, identity, and the collapse of digital trust and was conducted among 1,500 respondents in the United States, United Kingdom, Germany, Austria, and Switzerland. This article focuses on student-aged adults, defined as respondents ages 18 to 22, compared with the general population. 

Additional context comes from Malwarebytes’ 2025 research Tap, Swipe, Scam: How Everyday Mobile Habits Carry Real Risk, which looked at mobile scams and scam-related behaviors across the same markets. Both research studies were prepared by an independent research consultant and distributed via Forsta. 

Corma emerged from stealth with seed funding from Sequoia Capital, Khosla Ventures, and Coatue.

The post Corma Raises $60 Million for Defensive Cybersecurity AI Model appeared first on SecurityWeek.

Article URL: https://twitter.com/JensenHuang/status/2086934705207959965

Comments URL: https://news.ycombinator.com/item?id=49256500

Points: 1

# Comments: 0