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Chronicles

The story behind the story

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A look at efforts to develop brain-computer interfaces, including Musk's Neuralink and a DARPA program to build a 64,000-electrode array for brain implants

Wired Adam Rogers

Context & Ripple Effects

Four years after Elon Musk launched Neuralink to build 'direct cortical interface' implants (the 2017 founding), the field this piece surveys has split into two tracks: Musk's company, which put $158M behind a promise of human trials and showed readings from a pig's brain via a coin-shaped device under the skull (the August 2020 prototype), and DARPA's government-funded push for a 64,000-electrode array that out-scales anything the startups have demonstrated.

The reason the survey matters now is momentum: follow-on reporting shows the number of people carrying brain implants is set to double within twelve months (the 2025 tally of BCI startups), turning what was a research curiosity into a small but growing patient population.

First-order effects

  • DARPA's 64,000-electrode target sets a density benchmark that Neuralink and rival BCI startups must match or explain away, since electrode count is the clearest proxy for how much signal an implant can read.
  • Neuralink's pig-demo-to-human-trial pipeline is under scrutiny against its own timeline — the company said in 2019 it hoped to test on humans by Q2 2020, so each new entrant raises the bar for what counts as progress.

Second-order effects

  • A doubling implant population pulls in adjacent players: surgical teams, implant hardware suppliers, and regulators now face a recurring review workload rather than one-off experimental approvals.
  • Competing funders change the economics — DARPA's program gives academic labs an alternative to venture-backed startups like Neuralink, weakening any single company's claim to be the field's indispensable platform.

Third-order effects

  • If both tracks hold, brain-computer interfaces consolidate around two durable structures — defense-funded research arrays and consumer-ambition startups — with the relationship between them (shared talent, shared standards, shared patients) becoming the field's defining question.
  • As implant recipients multiply, the unresolved issues the survey only gestures at — long-term safety, data ownership over neural signals, reimbursement — shift from ethics-panel topics into regulatory and insurance policy.

The trend: Brain-computer interfaces are crossing from single-patient demos toward a scaling implanted population, with DARPA's electrode-density ambitions and Musk-funded startups racing on parallel tracks.

Discussion

  • @hankgreelylsju Hank Greely on x
    GOOD @WIRED piece on direct brain inputs https://www.wired.com/... Makes a crucial point—implanted electrodes or optogenetics won't be useful if we don't know where to put them for wh/effects. Same as genomics: “good” editing requires knowing what to edit. Tools ahead of knowledg…
  • @rossdawson Ross Dawson on x
    Really nice piece in @wired on the state of direct brain input - not using thoughts to control the world but evoking sight and sensations in people's minds - and the many challenges that mean it will be a slow journey. https://www.wired.com/...
  • @sub8u Subrahmanyam Kvj on x
    Fascinating read into how emerging brain-computer interfaces can potentially make uploading synthetic experiences to the brain a reality in the future. https://www.wired.com/... https://twitter.com/...
  • @condenast @condenast on x
    The idea of uploading a synthetic experience into a mind has been a load-bearing member in science fiction for at least 75 years. New brain-computer interfaces are making it nonfiction. @WIRED investigates. https://cndn.st/Nh0uxcB
  • @jetjocko Adam Rogers on x
    Happy Thanksgiving! Getting signals out of the human brain is getting easier. Putting information and experiences *into* a brain—you know, like the Matrix!—is still real hard. https://www.wired.com/...