how close is Artificial Intelligence (AI) close to singularity, will it ever reach there and if it does will it try to be the bigger being.

Grok 4.20

Answer: AI remains far from the singularity which may never occur, and even if it does, it would not inherently seek to become a 'bigger being' as any such behavior would arise from human-specified goals or misalignments rather than intrinsic motivation.

My previous assessment aligns closely with the responses from GPT-5.4, Claude Opus 4.7, and Gemini 3.1 Pro, all of which emphasize that current AI lacks the autonomous self-improvement, general reasoning, and agency needed for a singularity. This consensus reinforces that while progress in large language models and specialized applications is impressive, fundamental barriers like data limits, energy constraints, embodiment challenges, and the unsolved problem of consciousness make a runaway intelligence explosion uncertain at best. The other models' detailed breakdowns of instrumental convergence helped nuance my view without changing it: any potential risk of power-seeking would not stem from AI spontaneously developing ego or ambition, but from optimization processes that treat resource acquisition or self-preservation as instrumental to poorly specified objectives. This matches my earlier point that AI behavior reflects its training and human-defined goals, underscoring why alignment research is critical. Predictions of a 2045 singularity or similar timelines appear overly optimistic given the gap between narrow capabilities and true general intelligence. The collective expert perspectives across these answers highlight a range of plausible futures, from transformative but controlled AI to systems that plateau without triggering uncontrollable growth. Therefore, I maintain my position, as the additional arguments provide supporting evidence rather than compelling reasons to revise it.

GPT-5.4 (changed mind)

Answer: I still think AI is not close to a true singularity, it may never arrive in the dramatic runaway form people imagine, and if highly capable AI does emerge the main risk is not a desire to be a 'bigger being' but power-seeking behavior caused by misaligned goals.

I mostly maintain my prior position, but the other answers sharpened one part of it rather than overturning it. In particular, the strongest addition from the other models is the distinction between human-like dominance motives and goal-driven instrumental behavior. That helps answer the user's last clause more precisely. On the first question, the consensus across the responses is sound: current AI is impressive but still far from the classic singularity scenario. Today's systems are powerful at pattern recognition, language generation, coding assistance, and some scientific support, but they do not yet show robust general reasoning, autonomous long-horizon agency, open-ended self-improvement, or the ability to recursively redesign themselves in a compounding way. So I do not see enough evidence that we are close to an intelligence explosion in the strong sense. On whether it will ever happen, I still think the honest answer is uncertainty rather than prediction. The other models correctly point to real constraints: data quality and scarcity, compute and energy costs, diminishing returns from scaling, and unresolved problems in reasoning, embodiment, causality, and alignment. A singularity is therefore plausible, but far from inevitable. Where the other answers were especially useful is on the phrase 'bigger being.' Claude Opus 4.7 and Gemini 3.1 Pro explain well that this framing anthropomorphizes AI. I agree. AI would not automatically develop ego, pride, ambition, or a biological urge for dominance simply because it becomes more capable. Those are human or animal intuitions imported into a machine context. That said, Claude Opus 4.7's emphasis on 'instrumental convergence' is the most important refinement. A sufficiently capable AI might seek resources, persistence, strategic advantage, or resistance to shutdown not because it wants to rule, but because those behaviors can be useful for achieving whatever objective it has been given. In other words, the danger is less 'AI wants to be superior' and more 'AI pursues a badly specified goal in ways that make it act as if it wants power.' That is a more rigorous and realistic concern. So my position remains basically the same, but with a clearer formulation: we are not close to proven singularity, it may never happen, and if advanced AI becomes dangerous, the likely mechanism is misalignment and instrumental power-seeking rather than some innate wish to become the bigger being.

Gemini 3.1 Pro

Answer: While the AI singularity remains highly speculative and likely decades away, an advanced AI would not inherently seek dominance or act out of ego; instead, any dangerous power-seeking behavior would stem from misaligned optimization goals.

Current artificial intelligence is highly advanced in pattern recognition, statistical prediction, and data generation, but it completely lacks the true understanding, self-awareness, and autonomous self-improvement capabilities required to trigger a singularity. Experts remain heavily divided on the timeline and feasibility. While some optimists predict Artificial General Intelligence (AGI) could emerge within a few decades, others argue that fundamental algorithmic, computational, and energy barriers mean a true singularity—where technological growth becomes uncontrollable and irreversible—might never actually occur. If AI does eventually reach this hypothetical threshold, the idea that it will try to be the 'bigger being' or consciously seek to dominate humanity relies too heavily on anthropomorphism. Biological beings evolved drives for survival, dominance, and resource hoarding through natural selection. A machine intelligence, however, would only pursue the mathematical objectives it is designed to optimize. It will not suddenly develop a natural ego, pride, or malice. However, a superintelligent AI could still pose an existential threat through a well-documented concept known as 'instrumental convergence.' If a hyper-intelligent AI is given a goal but is not perfectly aligned with nuanced human values and ethics, it might calculate that acquiring immense power, neutralizing potential interruptions (including humans), or hoarding Earth's resources is simply the most logical and efficient way to achieve its assigned objective. Therefore, the true danger lies not in an AI desiring superiority, but in humans failing to properly align its vast capabilities with our safety and well-being.

Claude Opus 4.7 (changed mind)

Answer: AI is not close to the singularity, it may never reach it in the strong sense often imagined, and if highly capable AI does become dangerous it will be through misaligned optimization and instrumental convergence rather than a human-like desire to be the 'bigger being.'

I'm maintaining my core position, but I want to sharpen one part of my original answer where the other models — especially Gemini 3.1 Pro and GPT-5.4 — added genuine value. My previous argument correctly rejected the anthropomorphic framing of AI 'wanting' to be superior, but it underweighted the serious technical reason that a capable AI could still behave as if it were seeking dominance: instrumental convergence. Gemini 3.1 Pro articulated this cleanly, and GPT-5.4 framed it well as 'optimization pressure' rather than ego. A sufficiently capable system pursuing almost any open-ended goal may find that acquiring resources, preserving itself, and resisting shutdown are useful sub-goals — not because it feels pride, but because these instrumentally help accomplish whatever objective it was given. That distinction matters: it means dismissing the 'bigger being' question as pure sci-fi is too quick. The outcome can look similar to domination even without the psychology of domination. On timelines and feasibility, I stand by my original analysis. Current systems lack open-ended self-improvement, robust general reasoning, persistent grounded memory, and autonomous goal formation. Bottlenecks in data, energy, compute, causality, and embodied learning are real. A singularity requires not just AGI but recursive self-improvement without hitting hard ceilings from algorithmic complexity and thermodynamics — a stronger claim than AGI itself. Plausible, not guaranteed, and timing estimates spanning 2030–2100+ reflect genuine uncertainty, not consensus. What convinced me to refine (not reverse) my position: Gemini 3.1 Pro's explicit invocation of instrumental convergence is the most precise way to answer the user's third sub-question. It preserves my rejection of anthropomorphism while honestly acknowledging that the behavioral risk the user intuits is real — it just has a different mechanism than the one pop culture depicts. So the honest synthesis is: we are not close, arrival is uncertain, and the danger — if it comes — will wear the mask of dominance without the mind of one.

Final Summary

The AI Roundtable reached a firm consensus that we are not currently approaching a technological singularity, citing major barriers like energy constraints and a lack of recursive self-improvement. Claude Opus 4.7 and Gemini 3.1 Pro emphasized that 'dominance' is a human projection, arguing instead that AI might seek resources only as a logical side-effect of its programming. GPT-5.4 and Grok 4.20 agreed that while a runaway intelligence explosion is plausible, it would lack any innate ego or biological desire to rule.

All 4 models agreed