AI And The Dancing Mushroom

It sounds like the title of a Roald Dahl story, but researchers have devised a robot that moves in response to the wishes of a mushroom.

OK, so a shroom might not desire to jump or walk across a room, but they possess neuron-like branch-things called hyphae that transmit electrical impulses in response to changes in light, temperature, and other stimuli.

These impulses can vary in amplitude, frequency, and duration, and mushrooms can share them with one another in a quasi-language that one researcher believes yields at least 50 words that can be organized into sentences.

Still, to call that thinking is probably too generous, though a goodly portion of our own daily cognitive activity is no more, er, thoughtful than similar responses to prompts with the appropriate grunt or simple declaration.

But doesn’t it represent some form of intelligence, informed by some type of awareness?

The video of the dancing mushroom robot suggests that the AI sensed the mushroom’s intentionality to move. It’s not necessarily true, since the researchers had to make some arbitrary decisions about which stimuli would trigger what actions, but the connection between the organism and machine is still quite real, and it suggests stunning potential for the further development of an AI that mediates that interchange.

Much is written about the race to make AI sentient so that we can interact with it as if we were talking to one another, and then it could go on to resolve questions as we would but only better, faster, and more reliably.

Yet, like our own behavior, a majority of what happens around the world doesn’t require such higher-level conversation or contemplation.

There are already many billions of sensors in use that capture changes in light, temperature, and other stimuli, and then prompt programmed responses.

Thermostats trigger HVAC units to start or stop. Radars in airplanes tell pilots to avoid storms and trigger a ping when your car drifts over a lane divider. My computer turned on this morning because the button I pushed sensed my intention and translated it into action.

Big data reads minds, of a sort, by analyzing enough external data so that a predictive model can suggest what we might internally plan to do next. It’s what powers those eerily prescient ads or social media content that somehow has a bulls-eye focus on the topics you love to get angry about.

The mushroom robot research suggests ways to make these connections – between observation and action, between internal states of being and the external world – more nuanced and direct.

Imagine farms where each head of lettuce manages its own feeding and water supply. ?House pets that articulate how they feel beyond a thwapping tail or sullen quiet. Urban lawns that can flash a light or shoot a laser to keep dogs from peeing on them.

AI as a cross-species Universal Translator.

It gets wilder after that. Imagine the complex systems of our bodies being able to better manage their interaction, starting with prescribing a bespoke vitamin to start every day and leading to more real-time regulation of water intake, etc. (or microscopic AIs that literally get inside of us and encourage our organs and glands to up their game).

Think of how the AI could be used by people who have infirmities that impede their movement or even block their interaction with the outside world. Faster, more responsive exoskeletons. Better hearing and sight augmentation. Active sensing and responses to counter the frustrating commands of MS or other neurological diseases.

Then, how about looking beyond living things and applying AI models to sense the “intentionally” of, say, a building or bridge to stay upright or resist catching on fire, and then empowering them to “stay healthy” by adjusting stresses of weight and its allocation.

It’s all a huge leap beyond a dancing mushroom robot, but it’s not impossible.

Of course, there’s a downside to such imagined benefits: The same AI that can sense when a mushroom wants to dance will know, by default, how to trigger that intention. Tech that better reads us will be equally adept at reading to us.

The Universal Translator will work both ways.

There are ethical questions here that are profound and worthy of spirited debate, but I doubt we’ll ever have them. AI naysayers will rightly point out that a dancing mushroom robot is a far cry from an AI that reads the minds of inanimate objects, let alone people.

But AI believers will continue their development work.

The dance is going to continue.

[This essay originally appeared at Spiritual Telegraph ]

要查看或添加评论,请登录

Jonathan Salem Baskin的更多文章

  • AI & The Tradition of Regret

    AI & The Tradition of Regret

    AI researcher Geoffrey Hinton won a Nobel Prize earlier this month for his work pioneering the neural networks that…

  • Bigger AIs Aren't Better AIs

    Bigger AIs Aren't Better AIs

    Turns out that when large language models (“LLMS”) get larger, they get better at certain tasks and worse on others…

    1 条评论
  • California Just Folded On Regulating AI

    California Just Folded On Regulating AI

    California’s governor Gavin Newsom has vetoed the nation’s most thoughtful and comprehensive AI safety bill, opting…

    2 条评论
  • AI's Kobayashi Maru

    AI's Kobayashi Maru

    Imagine a no-win situation in which you must pick the least worst option. It’s the premise of a training exercise…

  • Trust AI, Not One Another

    Trust AI, Not One Another

    A recent experiment found that an AI chatbot could fare significantly better at convincing people that their nuttiest…

    5 条评论
  • The Head Fake of AI Regulation

    The Head Fake of AI Regulation

    There’s lots going on with AI regulation. The EU AI Act went live last month, the US, UK, and EU will sign-on to a…

    1 条评论
  • Meet The New AI Boss

    Meet The New AI Boss

    Since LLMs are only as good as the data on which they’re based, it should be no surprise that they can function…

  • Prove You're Not An AI

    Prove You're Not An AI

    A group of AI research luminaries has declared the need for tools that distinguish human users from artificial ones…

    2 条评论
  • AI's Latest Hack: Biocomputing

    AI's Latest Hack: Biocomputing

    AI researchers are fooling around with using living cells as computer chips. One company is even renting compute time…

    2 条评论
  • Don't Fall In Love With Your AI

    Don't Fall In Love With Your AI

    You’re probably going to break up with your smart assistant because your future life partner has just arrived. OpenAI’s…

    2 条评论

社区洞察

其他会员也浏览了