ai-hype

ServiceNow's customer chief calls 'tokenmaxxing' an AI hype cycle, criticizing the focus on token volume as a metric, while Salesforce shifts to $2 per resolved issue pricing, emphasizing outcome-based measurement.

The author questions the AI hype by noting Apple's strong stock performance despite minimal AI involvement, contrasting with Microsoft, Meta, and others who have invested heavily with unclear returns.

Ford admits it over-relied on AI for quality control, which failed to replace veteran engineers' expertise, and has hired 350 technical specialists to improve vehicle quality.

A discussion on whether superintelligent AI will ever be realized or if it remains a product of science fiction and hype.

This article questions the imminent arrival of perfect AI agents by pointing out Google's continued investment in physical office buildings worldwide, suggesting a disconnect between AI hype and corporate strategy.

Accenture's stock plunged ~18% after fiscal Q3 2026 earnings missed revenue expectations and cut guidance, underscoring the gap between AI hype and real business impact.

A commentary questioning whether the widespread adoption of AI in business is exaggerated, citing interviews with regular employees who report only minimal use of tools like ChatGPT.

An opinion piece arguing that as AI models improve, they disproportionately benefit professionals while ordinary users see diminishing returns, reinforcing the edge of experts.

A critical blog post arguing that workplace AI adoption is a mass delusion, citing failed LLM projects, wasted resources on consultants and workshops, and neglect of core employee needs.

An essay drawing parallels between literary critic Harold Bloom and the critical attitudes of software engineers in the Lobsters community, while also critiquing the current AI hype and its financial unsustainability.

Over 150 mathematicians signed a declaration warning governments against overestimating AI capabilities, citing exaggerated claims by companies like OpenAI and urging regulation of AI in sensitive areas.

An opinion piece argues that pouring billions into proprietary AI research is irrational because open-source models like Qwen and GLM are now highly competitive, and any well-funded startup could replicate top models quickly.

Experts warn that viral humanoid robot demonstrations often mislead the public and investors, as robots shown performing impressive feats typically cannot generalize those skills across varied real-world conditions. Researchers from Agility Robotics and Physical Intelligence highlight the significant gap between curated demos and actual robot capabilities.

A reflection on how the excitement around new AI model releases has faded compared to the early days, drawing parallels to annual smartphone launches.

Domo's chief design officer Chris Willis criticizes the AI industry for pushing technology through fear, causing anxiety among professionals, and urges organizations to slow down and adopt a more strategic approach.

The author argues that AI will not necessarily accelerate processes because bottlenecks often originate from unclear requirements upstream, not from development speed alone.

The author expresses disappointment in AI progress, arguing that despite years of development and massive spending, large language models still struggle with basic reasoning, referencing an Apple paper that exposes fundamental flaws. They question whether the hype around superintelligence is misguided.

Mitchell Hashimoto warns that many companies are suffering from 'AI psychosis,' making rational discussions about AI impossible, though he avoids naming individuals out of respect.

The article discusses the current state of humanoid robots, questioning whether recent advancements represent a genuine breakthrough or if the technology is still significantly overhyped.

A former AI advocate details disillusionment with large language models, citing reliability issues, regression between versions, broken enterprise workflows, and lack of accountability in AI systems deployed across critical industries.