hn.today

AI companies are coming for the plumbers

tomshardware.com30 points74 comments
Screenshot of AI companies are coming for the plumbers

The discussion centers on an AI lab offering free plumbing and HVAC repairs to gather training data, and commenters split over whether trades will actually be automated. Many argue robotics are far from ready: root_axis, macinjosh, jrflo and others point to the variability, tight spaces, improvisation and risk in real homes (RajT88’s sink-fitting saga is cited as typical), making full robot replacement decades away. Several warn that liability, licensing and insurance will block rapid adoption, and mention examples of damage from field tests (robertclaus). At the same time, zemvpferreira and others predict an earlier, cheaper wave where AR/LLM guidance turns unskilled workers into “meatpuppets” executing AI instructions, and commenters like seanmcdirmid and foobarian note LLMs plus AR could empower DIYers.

Opinion divides more on economic and social impact than pure feasibility. SloopJon calls the company’s offer a possible prisoner’s dilemma - paid short-term training that displaces workers later - while kube-system and boelboel compare it to private-equity playbooks that deskill and script work. dgemm and xnx foresee AI lowering barriers for DIY and lower-skilled handymen, reducing demand for pros; kaffekaka and others insist they’d still pay trusted skilled tradespeople. Others, like dyauspitr and toddmorey, separate which physical jobs will be automated soon and warn companies are highly motivated to capitalize on any path that reduces labor costs.

Read on tomshardware.com74 comments on Hacker News

Summary generated by AI from the linked article. hn.today is not affiliated with Hacker News or Y Combinator.

More in AI

Inception "Mercury 3", 1000 tok/s diffusion LLM

Inception "Mercury 3", 1000 tok/s diffusion LLM

Mercury 3 is the most advanced diffusion-based large language model, outperforming models like GPT-6 Luna and Claude Haiku 5.5 in speed and capabilities, processing over 1,000 tokens per second. It is already used for real-time applications such as web navigation, voice support, and education, demonstrating that diffusion models can scale effectively for commercial use. (inceptionlabs.ai)

How Grok Bot Works

How Grok Bot Works

Grok Bot processes messages using distributed systems components like queues, workflows, and caching to ensure responsiveness and reliability. When a user sends a message, it is immediately shown locally, then queued and handled with priority, with the system maintaining state and recovering from crashes using Temporal. (peterp.me)

The daily digest

Today's best Hacker News stories, summarized and screenshotted, one email a day.