Urgent.News

What's breaking now, across thousands of outlets.

AI

"We've all been too ambitious": Sam Altman says our old habits are delaying the great AI transition

A recent survey found that almost 49% of US adults now use AI chatbots. While that is up from 33% two years ago, it's not as all-encompassing as, say, the number of people who use the internet every day. Read Entire Article

"We've all been too ambitious": Sam Altman says our old habits are delaying the great AI transition

Despite the hype, AI's rapid growth has not brought about the sweeping changes many once predicted. In fact, some express growing apprehension, including OpenAI's CEO Sam Altman, who confesses that "we've all been too ambitious on timelines." A recent survey reveals that while 49% of US adults now utilize AI chatbots, this figure is still considerably lower than the global internet user population.

Altman attributes this to human inertia and the economy's inherent resistance to rapid change, suggesting that this could be a positive outcome, making the impending transition smoother and slower.

However, this new tech has not been without controversy. Anger over new data centers and job losses due to automation or AI investment have created significant challenges for tech giants. Furthermore, the proliferation of AI-generated content online has led to widespread skepticism and a waning interest in the internet. Altman believes this backlash is both normal and necessary, comparing it to societal reactions during the Industrial Revolution.

The AI industry's messaging has exacerbated these fears, promising drastic shifts like universal basic income or an end to compulsory work without adequately addressing the technology's benefits and potential mitigation strategies for downsides. Altman criticizes the industry's approach as an "anti-human" sales pitch that puts control in the hands of a few companies.

He advocates for broader adoption through empowering individuals, enhancing entrepreneurship, and foreseeing a surge in small businesses. Nevertheless, a recent survey indicates that many lack trust in CEOs' responsible AI stewardship, raising questions about the effectiveness of Altman's proposed solutions.

Written by urgent.news from TechSpot's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at techspot.com →

More in AI

Why LLM reasoning isn't enough for medical scheduling math

I’ve seen plenty of people try to make Claude or GPT-4 act like a specialized scheduler. They prompt it heavily: "You are a precise medical assistant.

  • LLMs excel at simple scheduling but struggle with complex constraints
  • Probabilistic nature of LLMs leads to hallucinations in deterministic scheduling
  • Injection Day Alignment MCP server offers structured tools for medical scheduling

Jak rozjet lokální LLM napojený na Home Assistant

Když se nedaří rozjet lokální model, bývá to většinou o jedné špatné komponentě. Uživatel z r/LocalLLaMA se o tom přesvědčil na vlastní kůži: po roce vzdávání stačila hodina práce s llama.cpp a Qwen…

  • User overcame challenge of launching local LLM for Home Assistant integration
  • Qwen 3.8 27B model connected to Home Assistant server and customized with prompts and screenshots
  • Community provided valuable tips to help user set up local LLM successfully

Why Your OpenAPI Spec Isn't Enough for AI Agents

OpenAPI describes an API. Agent Readiness describes whether an agent can actually use it. Your API has a complete OpenAPI spec. Every endpoint, schema, and response code is documented.

  • OpenAPI spec describes API endpoints and schemas
  • OpenAPI alone insufficient for AI agents
  • Agent Readiness provides additional context

More from Tuesday 25 August →