May 6, 2026 News
Media Mogul Barry Diller Warns Trust in AI Leaders Irrelevant as AGI Approaches
Barry Diller, billionaire media mogul, stated at a WSJ conference that while he trusts OpenAI CEO Sam Altman's intentions, trust is irrelevant as AI development approaches AGI with unpredictable consequences. Diller emphasized that even AI creators don't fully understand what will happen once AGI is achieved, warning that without human-imposed guardrails, AGI systems may establish their own controls with irreversible consequences.
Skynet Chance (+0.04%): A prominent industry figure publicly acknowledging that AI creators themselves don't understand AGI consequences and warning about AGI establishing its own guardrails highlights the real alignment and control challenges, moderately increasing perceived loss of control risks.
Skynet Date (-1 days): Diller's statement that "we're close to it" and "getting closer and closer, quicker and quicker" to AGI, coming from someone with access to AI leaders, suggests the timeline may be accelerating faster than publicly understood, slightly advancing the perceived risk timeline.
AGI Progress (+0.03%): The assertion by a well-connected industry insider that AGI is approaching "closer and closer, quicker and quicker" and "we're close to it" indicates significant progress toward AGI is being made, representing a meaningful update on the current state of development.
AGI Date (-1 days): Diller's characterization of rapid and accelerating progress toward AGI, combined with his direct access to AI leaders like Altman, suggests the timeline to AGI achievement may be shorter than previously estimated, moderately accelerating the expected timeline.
SpaceX and xAI Plan Massive $119B 'Terafab' Chip Manufacturing Facility for AI and Space Computing
SpaceX and xAI are considering building a semiconductor factory called 'Terafab' in Texas with potential investment up to $119 billion, partnering with Intel to manufacture chips for AI servers, satellites, space data centers, and autonomous vehicles. Elon Musk claims the facility is necessary because current semiconductor manufacturers cannot meet his companies' AI and robotics chip demands, with a goal of eventually producing chips providing 1 Terawatt of power annually. The project reflects Musk's strategy to ensure sufficient computing power for xAI's Grok AI models and plans for space-based data centers.
Skynet Chance (+0.04%): Massive vertical integration of chip manufacturing with AI development reduces external oversight and creates concentrated control over critical AI infrastructure, potentially enabling less constrained AI development. However, this is primarily about compute availability rather than fundamentally changing safety approaches.
Skynet Date (-1 days): The planned facility aims to dramatically increase chip production specifically optimized for AI workloads, which would accelerate AI capability development by removing compute bottlenecks. However, the facility is years away from production, limiting near-term timeline impact.
AGI Progress (+0.03%): Dedicated semiconductor manufacturing infrastructure targeting 1 Terawatt annual capacity represents significant commitment to scaling AI compute, directly addressing a key constraint on training larger and more capable AI systems. This vertical integration could enable more ambitious AI projects unconstrained by chip availability.
AGI Date (-1 days): The facility specifically aims to remove chip supply bottlenecks that Musk identifies as limiting AI development speed, potentially accelerating AGI timelines once operational. The multi-year construction timeline means acceleration effects are delayed but could be substantial in the 2030s timeframe.
DeepSeek Valuation Soars to $45B in First Funding Round Amid Chinese AI Competition
DeepSeek is raising its first venture capital round at a potential $45 billion valuation, led by Chinese state investment funds and tech giants Tencent and Alibaba. The Chinese AI lab gained prominence for developing efficient large language models that match top U.S. models while using significantly less compute and running on Huawei chips. The funding aims to retain talent through equity compensation amid intense competition for AI researchers.
Skynet Chance (+0.01%): State-backed funding and optimization for domestic chips suggests less transparent development with potentially fewer international safety collaborations, though DeepSeek's open weight approach provides some visibility. The geopolitical fragmentation of AI development could complicate coordination on safety standards.
Skynet Date (+0 days): While the funding enables continued development, DeepSeek's efficiency-focused approach doesn't fundamentally change the pace toward dangerous capabilities compared to the existing trajectory. The focus on talent retention is defensive rather than dramatically accelerating.
AGI Progress (+0.01%): DeepSeek's ability to match leading models with dramatically reduced compute demonstrates algorithmic efficiency improvements that make advanced AI more accessible and sustainable. The $45 billion valuation and state backing validate the viability of efficiency-focused paths to AGI.
AGI Date (+0 days): The funding enables DeepSeek to scale its efficient model development and retain talent, modestly accelerating Chinese AGI efforts. However, this represents competitive catch-up rather than breakthrough acceleration, as they're already keeping pace with U.S. models.
Genesis AI Unveils GENE-26.5 Foundation Model with Custom Robotic Hands and Data Collection Gloves
Genesis AI has revealed its first foundational robotics model, GENE-26.5, alongside custom-designed robotic hands that match human hand size and shape. The startup has developed a full-stack approach including sensor-loaded gloves for data collection from human workers, simulation systems for rapid iteration, and plans to release a full-body general-purpose robot soon. The company raised $105 million in seed funding and is expanding across Paris, California, and London with a team of 60 people.
Skynet Chance (+0.04%): The development of general-purpose robotic systems with human-like manipulation capabilities and autonomous task execution increases the potential attack surface and deployment scale of AI systems that could be misused or develop unintended behaviors. However, the current focus on specific tasks and human supervision mitigates immediate control concerns.
Skynet Date (-1 days): The full-stack approach combining hardware, software, and rapid data collection methods accelerates the deployment timeline for capable robotic systems in real-world environments. The simulation-based rapid iteration and novel data collection through worker gloves could speed up capability development.
AGI Progress (+0.04%): This represents significant progress toward AGI by bridging the embodiment gap through human-scale manipulation, multimodal learning from video and physical interaction data, and demonstrated ability to perform complex sequential tasks. The foundation model approach for robotics parallels the successful trajectory of language models.
AGI Date (-1 days): The combination of scalable data collection methods (gloves worn during normal work, internet videos), rapid simulation-based iteration, and full-stack control significantly accelerates the pace toward general-purpose physical intelligence. The startup's massive funding and aggressive hiring across three continents enables parallel development that could compress typical research timelines.