惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

G
GRAHAM CLULEY
T
Tenable Blog
Know Your Adversary
Know Your Adversary
C
CXSECURITY Database RSS Feed - CXSecurity.com
P
Privacy International News Feed
S
Security Affairs
NISL@THU
NISL@THU
O
OpenAI News
Attack and Defense Labs
Attack and Defense Labs
Application and Cybersecurity Blog
Application and Cybersecurity Blog
Hacker News: Ask HN
Hacker News: Ask HN
Webroot Blog
Webroot Blog
Schneier on Security
Schneier on Security
S
SegmentFault 最新的问题
S
Schneier on Security
G
Google Developers Blog
V
V2EX
C
Check Point Blog
U
Unit 42
Google DeepMind News
Google DeepMind News
T
Threatpost
阮一峰的网络日志
阮一峰的网络日志
T
The Exploit Database - CXSecurity.com
Recent Announcements
Recent Announcements
M
MIT News - Artificial intelligence
S
Secure Thoughts
博客园 - 司徒正美
Recorded Future
Recorded Future
P
Proofpoint News Feed
Spread Privacy
Spread Privacy
K
Kaspersky official blog
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
AI
AI
博客园 - 聂微东
N
News and Events Feed by Topic
SecWiki News
SecWiki News
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
V
Vulnerabilities – Threatpost
P
Palo Alto Networks Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Engineering at Meta
Engineering at Meta
Recent Commits to openclaw:main
Recent Commits to openclaw:main
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
酷 壳 – CoolShell
酷 壳 – CoolShell
WordPress大学
WordPress大学
The Hacker News
The Hacker News
The Last Watchdog
The Last Watchdog
Project Zero
Project Zero
W
WeLiveSecurity
博客园 - Franky

Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor GitHub - GenAI-Gurus/awesome-eu-ai-act: Curated tools, official sources, OSS, templates, and guides for EU AI Act compliance. Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders How to Switch AI Chatbots and Why You Might Want To GitHub - MattMessinger1/agentic_refund_guardrail: Safe refund policy layer for AI agents — Python + TypeScript. Same behavior, shared tests. Adam/papers/emergent_values_whitepaper.md at master · strangeadvancedmarketing/Adam Ask HN: How do you stop playing 20 questions with your AI coding tools How far can automation and AI support psychotherapy? - @theU GitHub - stagas/rtdiff: realtime git diff gui and AI-assisted commits A Mac Studio for Local AI — 6 Months Later A History of the Early Years of AI at the University of Edinburgh Why AI Coding Tools Still Feel Stuck on Localhost MSN AI Datacenters Are Becoming Strategic Targets twitter.com Penn Researchers Use AI to Surface Unreported GLP-1 Side Effects in Reddit Posts Show HN: MoodSense AI (ML and FastAPI and Gradio, Deployed on Hugging Face) Moodsense Ai - a Hugging Face Space by aman179102 AI models are terrible at betting on soccer—especially xAI Grok GitHub - xialeistudio/echoic GitHub - HimashaHerath/github-dev-wrapped: AI-powered weekly GitHub activity reports deployed to GitHub Pages GitHub - alejandrobalderas/claude-code-from-source: Architecture, patterns & internals of Anthropic's AI coding agent — reverse-engineered from source maps AI and Tech brief: Ireland ascendant GitHub - Titovilal/context0: Context0 - Never Surrender Training for a Marathon with an AI Coach: What Worked and What Didn't Cyber Pulse: Agentic Intel - Apps on Google Play I Built an AI PR Reviewer That Catches Bugs by Not Looking for Bugs Gen Z workers are so fearful AI will take their job they’re intentionally sabotaging their company’s AI rollout | Fortune How AI Is Reimagining the Game of Golf–For Both Players and Courses GitHub - nattergabriel/reseed: A CLI tool for managing and distributing agent skills across projects Is SVG the final frontier? My AI workflow evolved from prompts to a near-autonomous workflow MLSharp Help - 3DGS Viewer & Generator I put my cognitive field based AI's runtime on GitHub Is Numble the first AI-proof game? A3: Kubernetes for autonomous AI agent fleets | Emergent Principles Deepali Vyas ("The Elite Recruiter") GitHub - msmarkgu/RelayFreeLLM: A restful API designed to route user prompts to various AI model providers. Unionized ProPublica staff are on strike over AI, layoffs, and wages Unleashing the Advantage of Quantum AI We're heading for an AI-fueled 'dementia crisis,' brain scientist warns The AI-Assisted Breach of Mexico's Government Infrastructure [pdf] GitHub - stef41/lmscan: 🔍 Detect AI-generated text and fingerprint which LLM wrote it. Open-source GPTZero alternative. Zero dependencies, works offline. MSN GitHub - visionscaper/collabmem: Enabling long-term collaboration with Agentic AI - building up episodic and world model memory over time with in-context awareness We gave an AI a 3 year retail lease in SF and asked it to make a profit | Andon Labs AI Code is Hollowing Out Open Source, and Maintainers are Looking the Other Way What leaked "SteamGPT" files could mean for the PC gaming platform's use of AI AI is the boss at this retail store. What could go wrong? GitHub - Wuzu11517/agentic-proxy: Local proxy meant to help reduce With Drones, Geophysics and ArtificiaI Intelligence, Researchers Prepare to Do Battle Against Land Mines A Single Operator, Two AI Platforms, Nine Government Agencies: The Full Technical Report 在 Steam 上购买 FriedrichAI: Offline AI 立省 10% GitHub - inevolin/resume-cli: Hit Claude usage limits? Resume any AI coding session elsewhere. Switch tools at zero friction. GitHub - atripati/ark: AI Runtime Kernel — a context operating system for AI agents. Eliminates tool bloat, loads only what’s needed, and gives LLMs their reasoning space back. How to Build a Secure AI PR Reviewer with Claude, GitHub Actions, and JavaScript This Startup Wants You to Pay Up to Talk With AI Versions of Human Experts Intel Arc Pro B70 Brings 32GB VRAM to Local AI for $949 WordPress 7.0: The Good, the AI, and the Still Missing AI on the couch: Anthropic gives Claude 20 hours of psychiatry IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures AI Agents Know About Supabase. They Don't Always Use It Right. The history and future of AI at Google, with Sundar Pichai Inside an AI‑enabled device code phishing campaign How Meta Used AI to Map Tribal Knowledge in Large-Scale Data Pipelines AI for Systems: Using LLMs to Optimize Database Query Execution Forecasting the Economic Effects of AI Introducing Tinker: Play with AI, bring your ideas to life AI sheds light on an ancient gaming mystery People really hate AI but not as much as Iran—or Democrats | Fortune What is an AI Product Engineer? Phoebe Gates wants her $185 million AI startup to succeed with 'no ties to my privilege or my last name': 'I have a chip on my shoulder' | Fortune
The AI fitness instructors selling unreal gains
breve · 2026-05-07 · via Hacker News - Newest: "AI"

AI content has flooded social media feeds in the past couple of years, and videos promoting exercise and online fitness programmes are becoming increasingly common.

Many of the adverts flagged to the Advertising Standards Authority (ASA) by the BBC featured AI‑generated characters claiming to have followed workout programmes themselves. They also show transformations experts say are scientifically implausible in such short timeframes.

The videos promise users they can change their bodies in weeks, "look 20 years younger", or "lose 40lb in one month".

Once users engage with exercise or fitness content, algorithms quickly flood their feeds with similar material.

Prof Andy Miah, an AI expert from the University of Salford, says the trend is "huge" and those scrolling are drawn in because they are looking for advice.

"People are looking for solutions to their health, their fitness, their looks," he says. "There's always been an appetite for that kind of content - but now it's incredibly hard to tell who to believe."

Unlike human influencers, AI characters can produce content endlessly, and users cannot opt out.

"You can't turn [AI content] off," Prof Miah says. "It's impossible to stop your feeds being proliferated with this material."

He accepts there are many positive aspects to AI, but describes the current landscape as a "wild west" in terms of regulation and says some ads could be harmful.

"The claims about how quickly you can make gains are completely unrealistic," he says. "That feeds false hope and creates damaging expectations."

The BBC contacted the companies behind several of the adverts found to be problematic. None responded.

On a beach in North Tyneside, fitness instructor David Fairlamb is putting nearly 40 people of all ages through their paces in a group training session.

He has worked in the fitness industry for 30 years - long before social media, let alone artificial intelligence.

Fairlamb, 54, believes AI has its place in fitness programmes and nutrition, but says it cannot fully replace real-life coaching.

"You cannot beat that real person, that real connection, the accountability," he says.

When shown the AI‑generated adverts that breached advertising rules, his reaction is immediate.

"It's so wrong. It's so misleading. And it's so worrying for younger kids," he says.

"These ads talk about 28‑day transformations. I've been doing this for 30 years and I'm telling you now - that just doesn't happen. You've got no chance."

Fairlamb recently started working alongside his daughter Georgia Sybenga, 25, who says even people who grew up around social media struggle to tell what is real.

"Sometimes I question it myself," she says. "Some of them, you really can't tell."

Both worry a constant exposure to idealised, artificial bodies can damage confidence - particularly among young people.

"They think 'I could look like that in 30 days'," Fairlamb says. "But that body might not even be real. For young lads, for their mental health, it's really concerning."

Sybenga also warns AI‑generated fitness programmes do not have the full picture.

"It doesn't take into consideration injuries or health conditions, so... you could injure yourself," she says.

The ASA says AI isn't banned in advertising, but it's all about the message.

"We don't judge ads based on whether they contain AI. We judge them on whether they're misleading or likely to be harmful," Adam Davison, the ASA's director of data science, tells BBC Sport.

He says the regulator has received about 300 complaints involving AI‑generated advertising in the past year - and the number is rising.

"One challenge is that sometimes it can be hard even for us to tell whether AI has been used in an ad," he adds.

AI tools make it easier to generate advertising quickly for social media, and sometimes by people less familiar with advertising rules than traditional companies, says Davison.

The ASA does not comment on specific cases, but is taking steps against the advertisers flagged by the BBC which made claims that were "unlikely" to be substantiated.

Because the advertisers had no previous complaints issued against them, "advice notices" were issued providing guidance to them on how to comply with advertising codes. As a result the BBC is choosing not to identify those involved.

"A big part of what the ASA does, as well as our enforcement work, is trying to educate advertisers on their responsibilities," Davison says.

"If you're not being careful to review the content that's coming out of those tools then it's very easy to have something misleading ending up being posted."

Social media companies say AI‑generated content should always be labelled, but the BBC found multiple examples where disclaimers were hidden, unclear or missing.

We showed our findings to Meta and TikTok, but both companies declined to comment.

However, TikTok says it has labelled more than 1.3 billion AI‑generated videos to date, while Meta assesses whether something has been created by AI by relying on indicators that other companies include in their creation tools.

Many users the BBC spoke to said they would welcome the option to opt out of AI‑generated content entirely.

Meta and TikTok declined to say whether this option was under consideration.

But the scale of AI content is increasing all the time.

"I think the economics of social media and the kind of attention economy in which we live lend itself towards more AI content," says Prof Miah.

"It's clearly useful in many ways. But where it then misleads people to have false expectations... is where perhaps regulation needs to step in."