Tech Early Bird Podcast Invites Experts from Nebius and Photon to Discuss AI Agent Deployment Challenges
Chinese tech media outlet 'What's Next' (Tech Early Bird) released a new podcast episode on October 22, 2026, documenting a roundtable discussion at the Silicon Valley Builder Odyssey event. Host Diane joined guests including Jiaao Chen, Chief AI Engineer at Nebius, and Daniel Tian, Co-founder of Photon, to explore key challenges facing AI Agents as they move from technical demos to large-scale application, covering long-horizon task reliability, human-agent communication, privacy and security, and startup opportunities in next-generation AI infrastructure.
Chinese tech media outlet 'What's Next' (Tech Early Bird) released its Season 10 Episode 33 podcast on October 22, 2026, titled "From Free Pizza to Booking the Wrong Flight: What Troubles Are Silicon Valley Entrepreneurs Solving for Agents?". The content stems from a roundtable hosted by Diane at the Silicon Valley Builder Odyssey event, aiming to discuss how existing software, communication, security, and payment systems need redesigning as internet users gradually shift from humans to AI Agents.
Guests included Jiaao Chen, Chief AI Engineer at Nebius; Daniel Tian, Co-founder of Photon; and Howie, a Silicon Valley executive and investor. According to the detailed timeline and show notes provided by the program, the discussion focused on four core issues facing AI Agents in practical applications: long-horizon task reliability, human-Agent communication, safety and trust, and startup opportunities in infrastructure.
Regarding long-horizon tasks, the episode noted that while models have significantly improved in tool calling and planning, Agents still risk forgetting goals or hallucinating due to context compression when executing complex tasks involving hundreds or thousands of steps over days. For instance, an Agent might mistakenly book a flight to Hongqiao Airport instead of Pudong Airport as requested, with current software environments lacking robust error recovery mechanisms.
On human-Agent communication and safety, the discussion emphasized the importance of Human-in-the-loop. When an Agent is uncertain about the next step, it should confirm with the user via SMS or phone rather than making decisions that could cause losses. Additionally, as personal Agent usage increases, limiting Agent behavior to avoid disrupting real-world service systems (such as harassing merchants) and building user trust through transparency in execution processes have become new topics.