AI company that made robots for children went bust and now the robots are dying
An AI startup that sold an $800 cloud-dependent “social robot” for children has gone bankrupt, leaving existing units effectively non-functional and some kids grieving the loss of what felt like a companion. Commenters debate the ethics of designing emotionally engaging devices that can be remotely “killed,” especially for neurodivergent children, and criticize business models that bind physical products to proprietary cloud services with no offline fallback. Many call for regulatory fixes such as right-to-repair, mandated open-sourcing or escrow of server code on shutdown, and incentives for on-device or pluggable AI to reduce e‑waste, privacy risks, and future shutdown shocks.
Fiction & cultural touchpoints
- Many compare the situation to existing sci‑fi about obsolete or “dying” software beings and companion robots.
- Some see the story as an expected real‑world echo of long‑explored themes in fiction.
Children, attachment, and grief
- Strong concern for children (often neurodivergent) who formed bonds with the robot and now face sudden loss.
- Some argue this is needless, avoidable grief caused by corporate design and business failure.
- Others frame it as a low‑stakes way for kids to learn about loss, similar to pets or broken toys.
- Several note it’s much harder to explain “a company shut down its servers” than “the pet died.”
Cloud dependence, ownership, and e‑waste
- Widespread criticism of cloud‑dependent hardware that bricks when servers go away.
- Many see this as emblematic of the broader “you don’t own what you buy” / SaaS problem and of avoidable e‑waste.
- Comparisons are made to physical media and offline‑playable games that keep working even if companies vanish.
Ethics, responsibility, and regulation
- Calls for laws requiring open‑sourcing or escrow of server code/keys when cloud products are terminated or within X years of sale.
- Proposals include mandated minimum support lifetimes, deposits to fund end‑of‑life support, or transfer of IP to users.
- Counterarguments: bankruptcy law prioritizes creditors; IP is an asset; code often includes third‑party licenses that can’t be open‑sourced; such rules might drive companies offshore and chill innovation.
- Some advocate strong penalties (even criminal) for bricking still‑recent products; others say dissolution is a special case where ongoing support is unrealistic.
Technical alternatives and hacking
- Suggestions: offline or edge ML to avoid ongoing inference costs and privacy issues; smaller on‑device models for basic interaction.
- Others argue state‑of‑the‑art LLMs will remain cloud‑bound; propose “pluggable AI” protocols so devices can be pointed at any provider.
- Multiple people express interest in reverse‑engineering/jailbreaking units to keep them alive or repurpose them; note this is hard but not impossible.
AI companions for kids
- Deep skepticism about using LLM‑based robots as socialization tools, especially for autistic children.
- Some see this as part of a long pattern of moral panics over new media; others argue AI “convincing lie machines” are qualitatively more dangerous.
Privacy and security concerns
- Edge processing is praised for reducing surveillance risk; others doubt privacy will ever be a strong market driver.
- Fears include hacked toys manipulating children, data leaks, and always‑on cameras/mics in kids’ rooms.
Consumer responsibility vs. sympathy
- A visible “buyer beware” current: don’t buy cloud‑only devices or $800 AI toys from fragile startups.
- Others emphasize that non‑technical parents can’t easily evaluate these risks and that regulation, not just consumer vigilance, is needed.