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The first Digital Minds working group session will explore computational consciousness, self-organizing systems, collective intelligence, and how shared knowledge shapes intelligence. Discussions will feature philosopher and media theorist Dr. Erik Bordeleau, creative technologist and researcher Chris Dake-Outhet, and research presentations by Cem Dagdelen, Frank Peterlein, and Lucas Nunn.
Engineers, founders, and researchers will gather to tackle the real production challenges of voice agents—from latency and turn-taking to orchestration and human handoff—with practical insights from teams already shipping these systems across customer support, healthcare, and financial services. Expect hands-on workshops, keynotes from voices like Pete Warden (CEO, Moonshine AI) and Rissa Cao (CEO, Fish Audio), and direct conversations with 20+ companies actually building production-grade voice AI.
Attendees will build an AI-powered app with Base44, then secure it using user-specific access rules, protected API keys and a security scan, no coding experience required. The workshop will be hosted by Azeez Shaik, Base44 Campus Impact Leader at NJIT, Contextral co-founder and Ying Wu College of Computing Advisory Board member.
Solana Incubator’s Cohort 5 showcase will spotlight six teams building across AI, robotics, trading infrastructure, and onchain markets, including projects with 8,000+ AI agents, $200M+ in trading volume, and a Colosseum Frontier Hackathon grand champion. Founders, VCs, and operators will connect over a happy hour celebrating teams developed through Solana Labs’ three-month program of hands-on support in product, growth, fundraising, and partnerships.
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Nine confirmed intrusions anchor the findings. ARTEX agents pursued multiple attack paths, while a human operator steered decisions and directed them away from protected computers.
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Anthropic56 stories this weekThe Signal / daily AI briefing
A daily conversation that unpacks the AI news that matters.
Latest episodeChatGPT adds editable GIFs as Anthropic and OpenAI report AI-assisted research results that still required human review. Today’s other checks are political and commercial: data-center critics gained seats, while Uber disclosed tiny early transaction counts from AI agents.
Today’s AI workbench comes with constraints: power, production, permissions and consent. xAI is using converted jet engines, OpenAI’s hardware sprint still needed human revisions, and stolen credentials are leaving companies with steep AI bills.
AI progress meets practical limits today: MIT's model repair took hours of testing, and Claude's faster long-session handling does not lower token charges. OpenAI is rebuilding for heavier coding-agent activity, while security, governance and serving costs draw scrutiny.
