Ethereum co-founder Vitalik Buterin has made a significant donation of 256 ETH to support Session and SimpleX Chat, two pioneering encrypted messaging platforms focused on enhancing metadata privacy and decentralized user accounts. Unlike traditional encrypted apps, these platforms tackle critical gaps left by existing solutions like Signal, addressing permissionless account creation and metadata protection. Vitalik’s funding highlights the importance of advancing secure communication technologies amidst increasing legislative pressures that threaten encryption standards. This is a call to developers and privacy advocates to engage, improve, and help build the future of digital privacy. https://www.theopensourcepress.com/vitalik-buterin-backs-privacy-messaging-with-500k-donation/

The new update to the International AI Safety Report, chaired by Turing Award-winner Yoshua Bengio and backed by 30+ countries & major institutions, offers crucial insights into AI risks and defenses. While defensive measures improve, sophisticated attacks still succeed frequently, and data poisoning remains a serious threat. The report stresses the narrowing gap between closed and open-source models, raising misuse concerns. Despite doubled adoption of AI risk management, consistent effectiveness is still lacking. This update serves as a key guide for policymakers and industry leaders preparing for comprehensive AI governance ahead of the full report in early 2026. Read the full update here: https://www.theopensourcepress.com/second-key-update-of-the-international-ai-safety-report-released/

The world records 500 billion hours of video daily, yet most goes unlabeled. Score is changing that with Vision AutoML, 94% accurate, 10x cheaper, and lightning fast. From football to petrol stations, AI vision is finally accessible and cheap. Learn more about what Co-founder and CEO Maxime Sebti of Score are building in the link below 👇 https://www.theopensourcepress.com/scores-vision-making-every-camera-intelligent/

New Acquia x TeenVoice survey shows what Gen Z & Alpha expect online: 44% say privacy is top priority 39% spend most time watching short videos 71% want to co-design websites Learn more about what Gen Z and Alpha want in the link below https://www.theopensourcepress.com/gen-z-and-alpha-want-a-faster-more-private-video-first-web-according-to-new-survey/

Zurich-based AI startup Albatross raises $12.5M to reinvent real-time product discovery. Founded by ex-Amazon AI leaders, its adaptive platform learns from every interaction to make search and recommendations instant, intelligent, and personal. https://www.theopensourcepress.com/albatross-raises-12-5-million-to-reinvent-real-time-product-discovery-for-the-modern-web/

The Mobile Voting Foundation and Free & Fair have launched VoteSecure, the first open-source SDK for secure and verifiable mobile voting. VoteSecure offers advanced cryptography, independent audits, and robust identity verification, including biometrics, making it a game-changer for election systems. Early adopters like Sequent and Democracy Live are already integrating the SDK. Explore the future of transparent, high-assurance mobile voting. https://www.theopensourcepress.com/votesecure-first-open-source-sdk-for-mobile-voting/

Smashtoshi recently launched the “History of Bitcoin” global tour — a celebration of Bitcoin’s cultural legacy through art, innovation, and craftsmanship. https://www.theopensourcepress.com/smashtoshi-launches-history-of-bitcoin-global-tour-a-collectors-tribute-to-bitcoins-cultural-legacy/

Eddy Xu (@eddybuild), CEO of Build AI, didn't just release a dataset. He released the largest egocentric video dataset in history: 10,000 hours of first-person footage from 2,153 factory workers performing real manufacturing jobs. One billion frames of humans doing skilled manual labor, all open-sourced under Apache 2.0, the most permissive license available. https://www.theopensourcepress.com/how-eddy-xu-open-sourced-the-future-of-robotics/

The AI community spent years debating whether scaling laws applied to language models. Turns out they did: more data, more compute, more parameters led to reliably better performance. GPT-4 exists because OpenAI believed in scaling before it was obvious. We're at the beginning of discovering whether similar scaling laws apply to physical AI. If they do, datasets like Egocentric-10K become the foundation for the next generation of robotics models. Just as ImageNet catalyzed computer vision research, massive egocentric datasets could catalyze embodied AI. https://www.theopensourcepress.com/how-eddy-xu-open-sourced-the-future-of-robotics/