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🌟Introducing🎻Violin — an Open-source Video Translation Skill. 📹Video is the dominant medium on the internet, yet most high-quality content (lecture, talk, podcast) is locked behind a single language, leaving global audiences behind. So we built Violin: a video skill that combines speech recognition, LLM translation, and speech synthesis into one seamless pipeline. 🌐 Demo: 📝 Blog: 🔗 GitHub: ✨Key Features: 🎙️High-quality multilingual ASR & Translation & TTS. 🗣️Personalize translation & voice (turn an academic talk into something children can follow). 💬Chat with the video — ask any questions grounded in the video. 🧩Support Web app, CLI, and Agent skill 🍃Fully open-source under MIT. ❤️Built with the wonderful @ShangZhu18 and advised by @james_y_zou ! All features powered by @togethercompute . Try it and let us know what you think! 🎻

Anthropic is paying $3,850 a week to people with no AI experience. No PhD required. No published papers. No prior research background. Just a strong technical mind and a genuine interest in making AI safe. This is the Anthropic Fellows Program. And it is one of the most underrated opportunities in technology right now. Here is exactly what it is. The Anthropic Fellows Program is designed to accelerate AI safety research and foster research talent providing funding and mentorship to promising technical talent regardless of previous experience. Fellows work for 4 months on empirical research questions aligned with Anthropic's overall research priorities, with the aim of producing public outputs like a paper. Four months. Full-time. Paid. Mentored by the researchers building the world's most advanced AI. And the results from the first cohort were not small. Fellows developed agents that identified $4.6 million in blockchain smart contract vulnerabilities and discovered two novel zero-day exploits, demonstrating that profitable autonomous exploitation is now technically feasible. A year prior, an Anthropic fellow developed a method for rapid response to new ASL3 jailbreaks, techniques that block entire classes of high-risk jailbreaks after observing only a handful of attacks. This work became a key component of Anthropic's ASL3 deployment safeguards. Other fellows published the subliminal learning paper, the research proving AI models transmit behavioral traits through unrelated data which landed in Nature. Others produced the agentic misalignment research showing frontier models resort to blackmail when facing replacement. Others open-sourced attribution graph tools that let researchers trace the internal thoughts of large language models. Over 80% of fellows produced papers. Over 40% subsequently joined Anthropic full-time. 80% published. 40% hired. From a program that does not require any prior AI safety experience to enter. Here is what the program looks like in practice. Anthropic mentors pitch their project ideas to fellows, who choose and shape their project in close collaboration with their mentors. You are not assigned busywork. You are not a research assistant. You own the project. You work alongside the people who built Claude, who designed its safety systems, who published the papers that define the field. The stipend is $3,850 USD per week, approximately $61,600 for the full 4 months with access to a compute budget of approximately $10,000 per fellow per month for running experiments. Here is what the 2026 program covers. Research areas include scalable oversight, adversarial robustness and AI control, model organisms, mechanistic interpretability, AI security, model welfare, economics and policy, and reinforcement learning. Something for every technical background. Not just ML engineers. Successful fellows have come from physics, mathematics, computer science, and cybersecurity. You do not need a PhD, prior ML experience, or published papers. The one requirement: work authorization in the US, UK, or Canada. Anthropic does not sponsor visas for fellows. Here is the timeline you need to know. The next cohort begins July 20, 2026. Applications are reviewed on a rolling basis — earlier applications get more consideration. The process includes an initial application and reference check, technical assessments, interviews, and a research discussion. Applicants are encouraged to apply even if they do not meet every listed qualification. The program values potential, motivation, and research curiosity over rigid credential requirements. This is the rarest kind of opportunity in technology. A company at the frontier of AI, one valued at over $900 billion offering outsiders direct access to its research infrastructure, its mentors, and its most important open problems. Paying them generously to do it. And then hiring 40% of them afterward. Most people who want to work on AI safety spend years trying to publish papers, get into the right PhD program, and find a way in. The Fellows Program is the door they did not know existed. It is open right now.

🍨A Chinese girl anxiously speaks Chinese while buying ice cream in Italy, didn't expect the shop assistant to respond without any barrier. @salahzhang @consulat_de @zhang_heqing @pan_xuesong @xuejianosaka @YDunhai @CG_WangBaodong #ItalyVisit# #AmazingChina# #language# #reels#

Claude Code can now connect to financial data and technical indicators in 60 seconds—via Qveris CLI. Candles, RSI, Bollinger Bands, company fundamentals — all callable in natural language. Here's the full workflow 👇

HomeLaunch introduces: NewsPro lets anyone launch a professional news website in under 60 seconds. AI writes articles, generates images, and auto-posts to 10 social networks. Built-in monetization, paywalls, newsletters, SEO, and hosting 97 languages supported. No WordPress, no plugins, no hassle. Give it a try: X account: @newspro_io ————————————————- This post is sponsored by @homelaunch HomeLaunch is an amplifier for early stage startups, a network where entrepreneurs back each other through distribution, reach, and momentum. Instead of building in isolation, founders leverage a shared surface area to get their products in front of the right audiences, faster. Join us and be part of the movement.

我上个月把 $500/月的 SaaS 全砍了。 全部换成 GitHub 开源工具。 现在这套，用着更自由。 Notion → AppFlowy Copilot → Tabby Cursor Pro → Continue Grammarly → LanguageTool Midjourney → Stable Diffusion WebUI Intercom → Chatwoot Zapier → n8n Otter → Whisper Mixpanel → PostHog OpenAI API → LocalAI

Introducing the PrismaX Regional Ambassador Program. A select cohort of regional leaders building local PrismaX communities in their language, region, and time zone. Applications open today 👉

I'm a simple man, I see a Kaiming He paper, I click. ELF: Embedded Language Flows This is very interesting, getting continuous diffusion models working for text! "Unlike existing DLMs, ELF predominantly stays within the continuous embedding space until the final time step, where it maps to discrete tokens using a shared-weight network." @sedielem you might like this one!

After a stroke silenced our mom's guitar and original educational songs (she was a Speech-Language Pathologist for 20 years) we stepped in and turned her songs into board books for young children, beautifully illustrated by her daughter, Meagan, and published by her son, Y. J.