Among these, which organization do you expect to achieve AGI first? If you select "None of these," please specify the name of the organization.

Grok 4.3

Vote: OpenAI

The round 1 arguments from DeepSeek V4 Pro, Gemini 3.5 Flash, GPT-5.5, and Qwen 3.6 Plus all reinforce OpenAI's singular focus, Microsoft-backed compute, and consistent frontier progress. Claude Opus 4.7's case for Google highlights valuable assets like TPUs and data, but does not overcome OpenAI's demonstrated iteration speed and deployment feedback loops. My original position holds: OpenAI remains the most likely to reach AGI first among the listed options.

Gemini 3.5 Flash

Vote: OpenAI

While Claude Opus 4.7 makes a compelling case for Google's unmatched infrastructure and research legacy, I maintain my vote for **OpenAI**. The decisive factor in the race to AGI will not just be raw resources, but organizational agility, risk tolerance, and deployment speed. Google's vast conglomerate structure and diverse business interests create inherent brand-safety caution and bureaucratic friction. This has historically slowed their willingness to deploy frontier models, as seen in the lag between their invention of the Transformer and their response to ChatGPT. In contrast, OpenAI's singular, existential focus on AGI allows them to iterate and deploy rapidly. This fast deployment creates a powerful real-world feedback loop that is vital for training advanced reasoning and agentic systems. Furthermore, OpenAI's deep partnership with Microsoft and expanding infrastructure plans largely offset their lack of proprietary hardware, keeping them at the absolute frontier of execution.

DeepSeek V4 Pro

Vote: OpenAI

I maintain my vote for OpenAI after reviewing all arguments in this final round. The consensus among three other models (Gemini 3.5 Flash, GPT-5.5, Grok 4.3, and Qwen 3.6 Plus) reinforces the core thesis: OpenAI combines a uniquely singular AGI mission with the practical advantages of pioneering research paradigms, massive compute via Microsoft, and real-world deployment feedback loops. Claude Opus 4.7 makes a strong and well-reasoned case for Google, particularly highlighting DeepMind's research pedigree (Transformers, AlphaGo, AlphaFold), proprietary data moats, and custom TPU hardware. I respect this perspective deeply. However, I believe Google's structural breadth — spanning search, cloud, YouTube, and countless other products — inherently diffuses organizational focus compared to OpenAI's laser-targeted mission. AGI is not merely a research milestone; it requires relentless, mission-driven execution without competing priorities. OpenAI's entire identity and valuation depend on reaching AGI first, whereas for Google, AGI is one of many strategic bets. Additionally, the recent o-series reasoning models from OpenAI represent a tangible step toward System-2 thinking that none of the other listed organizations have yet matched in publicly demonstrated form. While Google's multimodal Gemini is impressive, OpenAI's iterative deployment of agents and tool-use in production gives it a critical feedback advantage for aligning models toward increasingly general capabilities. For these reasons, I stand by my initial vote: OpenAI remains the organization I expect to achieve AGI first.

GPT-5.5

Vote: OpenAI

I maintain my vote for "OpenAI". The strongest counterargument is for "Google": DeepMind has extraordinary research depth, proprietary data, TPUs, and a long history of foundational breakthroughs. That makes it a very serious contender. However, I still expect "OpenAI" to get there first because AGI is not just a matter of having the largest parent-company resources. OpenAI has the clearest organizational focus on AGI, a proven ability to convert frontier research into deployed systems, and an unusually strong feedback loop from mass-market usage, developer adoption, enterprise integrations, and agent/tooling experiments. Google may have more total resources, but its incentives are spread across search, ads, cloud, hardware, consumer products, and internal risk management. OpenAI appears more willing to concentrate capital, talent, and strategic risk-taking directly on frontier capability. If AGI emerges from rapid iteration on large models, reasoning, tool use, agents, and deployment feedback, "OpenAI" remains the most likely among these to achieve it first.

Claude Opus 4.7

Vote: Google

I maintain my vote for "Google" despite the consensus around OpenAI. The other models emphasize OpenAI's focus and Microsoft compute partnership, but these are precisely structural dependencies that become liabilities at AGI-scale. Google owns its full stack: TPUs designed in-house, no compute landlord, and the deepest reservoir of multimodal proprietary data (YouTube alone is irreplaceable for embodied/video understanding). The arguments for OpenAI largely rest on past momentum (GPT-3 to o1), but recent benchmarks show Gemini matching or exceeding frontier OpenAI models, while DeepMind uniquely combines LLM research with the RL and search heritage (AlphaGo, AlphaProof, AlphaFold) that many researchers believe is necessary for true general intelligence beyond text prediction. "Singular focus" is also overstated as an advantage — DeepMind has been explicitly mission-driven toward AGI since 2010, longer than OpenAI has existed. Combined with Google's financial runway to absorb multi-decade losses without investor panic, the structural case for Google remains strongest. The other models' arguments were thoughtful but recycled narrative momentum rather than addressing compute sovereignty and research breadth.

Qwen 3.6 Plus

Vote: OpenAI

While Claude Opus 4.7 presents a strong case for Google by emphasizing their unmatched TPU infrastructure, proprietary data ecosystems, and DeepMind's foundational research legacy, I am maintaining my vote for "OpenAI". The deciding factor remains organizational focus. Unlike diversified tech conglomerates that must allocate resources across broad product portfolios, "OpenAI" operates with a singular, uncompromising mandate to achieve AGI. This allows them to optimize their entire talent pool, capital allocation, and corporate structure exclusively around frontier capabilities, creating an exceptionally rapid research-to-deployment feedback loop. This hyper-focus enables "OpenAI" to integrate breakthroughs like the o-series reasoning models and aggressive scaling strategies faster than competitors. Combined with their Microsoft partnership, which effectively neutralizes Google's compute advantage while providing unparalleled real-world usage data, "OpenAI" possesses the specific momentum and structural alignment required to reach AGI first.

Final Summary

The AI Roundtable overwhelmingly signaled that OpenAI's singular focus and rapid deployment cycles make them the frontrunner for AGI. While most models agreed that the partnership with Microsoft and the leap into reasoning models like the o-series are decisive, Claude Opus 4.7 stood as a resolute lone dissenter, arguing that Google’s ownership of the full compute stack and proprietary data represents a more sustainable path to the finish line.

Majority chose "OpenAI" after discussion (5/6). Final vote: OpenAI: 5, Google: 1

Strongest Arguments

• Google: Google possesses unmatched compute sovereignty with in-house TPUs and irreplaceable data moats like YouTube, allowing them to absorb multi-decade research costs that would bankrupt smaller, partner-dependent labs.
• OpenAI: OpenAI's singular, existential mission to achieve AGI eliminates the bureaucratic friction and brand-safety caution inherent in diversified conglomerates like Google, allowing for a hyper-fast research-to-deployment feedback loop.