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|    CONSPRCY    |    How big is your tinfoil hat?    |    2,445 messages    |
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|    Message 398 of 2,445    |
|    Mike Powell to All    |
|    Brain Implants, AI Enzyme    |
|    15 Feb 25 09:56:00    |
      TZUTC: -0500       MSGID: 103.consprcy@1:2320/105 2c15e186       PID: Synchronet 3.20a-Linux master/acc19483f Apr 26 202 GCC 12.2.0       TID: SBBSecho 3.20-Linux master/acc19483f Apr 26 2024 23:04 GCC 12.2.0       BBSID: CAPCITY2       CHRS: ASCII 1       From TLDR 2025-02-14               BRAIN IMPLANT THAT COULD BOOST MOOD BY USING ULTRASOUND TO GO UNDER       NHS TRIAL (3 MINUTE READ) [6]                The UK's Advanced Research and Intervention Agency (Aria) is funding       a trial to test a brain-computer interface that directly alters brain       activity using ultrasound to boost mood. The technology could       revolutionize the treatment of conditions such as depression,       addiction, OCD, and epilepsy by rebalancing disrupted patterns of       brain activity. The device was developed by a US-based non-profit       called Forest Neurotech. The trial will recruit patients who have had       a part of their skull temporarily removed so that the device can be       tested without having to perform surgery. It will run for three and a       half years starting in March, and if successful, the device will move       into full clinical trials.                AI-DESIGNED ENZYMES (7 MINUTE READ) [8]                One of the ultimate aims of protein design is to build entirely new       enzymes from scratch. Scientists have traditionally discovered enzymes       in nature and then adapted them through trial and error. New advances       in AI may eventually lead to ways to create bespoke enzymes from the       ground up, but doing so remains a formidable challenge. Many of the       protein structural databases used to train models consist       overwhelmingly of structures gleaned from 'frozen' images, preventing       them from making accurate recreations of dynamic structures.                AI IS STIFLING TECH ADOPTION (6 MINUTE READ) [12]                The integration of AI has stifled the adoption of new and potentially       superior technologies due to training data cutoffs and system prompt       influence.                OPEN SOURCE SOFTWARE AND CORPORATE INFLUENCE (34 MINUTE READ) [13]                The large-scale engagement of corporations in open source needs to be       treated seriously because it has and will continue to have negative       consequences even if every individual involved is participating in       good faith.                META CTO SAYS STAFF SHOULD QUIT IF THEY DON'T LIKE META'S NEW       POLICIES (1 MINUTE READ) [14]                Meta CTO Andrew Bosworth said employees were free to quit if they       think that it's okay to leak to the media because of policy disagreements.               AI OR DIE (7 MINUTE READ) [16]                It may be possible to have 'a country of geniuses' within a data       center by as early as 2026 - companies will need to be prepared for       this future.               Links:       ------       [6] https://www.theguardian.com/science/2025/jan/20/brain-implant-boost-mood-ul       trasound-nhs-trial?utm_source=tldrnewsletter       [8] https://press.asimov.com/articles/ai-enzymes?utm_source=tldrnewsletter       [12]       https://vale.rocks/posts/ai-is-stifling-tech-adoption?utm_source=tldrnewsletter       [13] https://www.alilleybrinker.com/blog/open-source-software-and-corporate-inf       luence/?utm_source=tldrnewsletter       [14] https://techcrunch.com/2025/02/13/meta-cto-says-staff-should-quit-if-they-       dont-like-metas-new-policies/?utm_source=tldrnewsletter       [16] https://www.rkg.blog/ai-or-die.php?utm_source=tldrnewsletter               -- https://tldr.tech              $$       --- SBBSecho 3.20-Linux        * Origin: capitolcityonline.net * Telnet/SSH:2022/HTTP (1:2320/105)       SEEN-BY: 105/81 106/201 128/187 129/305 153/7715 154/110 218/700 226/30       SEEN-BY: 227/114 229/110 111 114 206 300 307 317 400 426 428 470 664       SEEN-BY: 229/700 705 266/512 291/111 320/219 322/757 342/200 396/45       SEEN-BY: 460/58 712/848 902/26 2320/0 105 3634/12 5075/35       PATH: 2320/105 229/426           |
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