<div dir="auto">Dear Emily, dear all,</div><div dir="auto"><br></div><div dir="auto">thank you very much for your message, I second it whole heartedly, especially the part about Lex Fridman’s podcast.</div><div dir="auto"><br></div><div dir="auto">Best,</div><div dir="auto"><br></div><div dir="auto">Slavomír</div><div><br><div class="gmail_quote gmail_quote_container"><div dir="ltr" class="gmail_attr">El dj 7. 8. 2025 a les 8:25 Emily M. Bender via Lingtyp <<a href="mailto:lingtyp@listserv.linguistlist.org">lingtyp@listserv.linguistlist.org</a>> va escriure:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-style:solid;padding-left:1ex;border-left-color:rgb(204,204,204)"><div dir="ltr">Dear all,<div><br></div><div>I would hope that few on the lingtyp mailing list would fall for the "AI hype" going around, let alone the idea that someone as deep in the sauce of "AGI" mania as Hassabis would have anything insightful to tell us about how language works. Also, in case you're not familiar, Lex Fridman's podcast is an absolute cesspool.</div><div><br></div><div>Emily</div><div><br></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Thu, Aug 7, 2025 at 1:12 AM Stela MANOVA via Lingtyp <<a href="mailto:lingtyp@listserv.linguistlist.org" target="_blank">lingtyp@listserv.linguistlist.org</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-style:solid;padding-left:1ex;border-left-color:rgb(204,204,204)"><div><br><div>
<div dir="auto" style="letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none;color:rgb(0,0,0)"><div dir="auto" style="letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none;color:rgb(0,0,0)"><div dir="auto" style="letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none"><div dir="auto" style="letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none"><div dir="auto" style="letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none"><div><p dir="ltr" id="m_7219148562896799402m_-7572472660933829540docs-internal-guid-eb77e90a-7fff-99a0-d14b-6201b3c3dd6c" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:"Times New Roman",serif;font-variant-ligatures:normal;font-variant-alternates:normal;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Dear Colleagues, </span></p><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:12pt;margin-bottom:12pt"><span style="font-size:12pt;font-family:"Times New Roman",serif;font-variant-ligatures:normal;font-variant-alternates:normal;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">I would like to draw your attention to an interview with Demis Hassabis, </span><span style="font-size:12pt;font-family:"Times New Roman",serif;font-variant-ligatures:normal;font-variant-alternates:normal;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap;color:rgb(19,19,19)">CEO of Google DeepMind and </span><span style="font-size:12pt;font-family:"Times New Roman",serif;font-variant-ligatures:normal;font-variant-alternates:normal;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">recipient of the 2024 Nobel Prize in Chemistry. The interview is featured on Lex Fridman’s podcast and is titled </span><span style="font-size:12pt;font-family:"Times New Roman",serif;font-style:italic;font-variant-ligatures:normal;font-variant-alternates:normal;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">“Future of AI, Simulating Reality, Physics and Video Games”</span><span style="font-size:12pt;font-family:"Times New Roman",serif;font-variant-ligatures:normal;font-variant-alternates:normal;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">, available here:</span><a href="https://urldefense.com/v3/__https://www.youtube.com/watch?v=-HzgcbRXUK8&t=860s__;!!K-Hz7m0Vt54!iHdE8g7J-P8Yd_hBcvQ5UAPPihBQxEJVsgU1qvmrjEw8OZWPAn0RrlY4qokR0GuqMziqVW-_eUUfe44BLb-faxIeprr-hNp_TA$" style="text-decoration:none" target="_blank"><span style="font-size:12pt;font-family:"Times New Roman",serif;font-variant-ligatures:normal;font-variant-alternates:normal;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap;color:rgb(0,0,0)"> </span><span style="font-size:12pt;font-family:"Times New Roman",serif;font-variant-ligatures:normal;font-variant-alternates:normal;font-variant-numeric:normal;font-variant-east-asian:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap;color:rgb(17,85,204)">https://www.youtube.com/watch?v=-HzgcbRXUK8&t=860s</span></a><span style="font-size:12pt;font-family:"Times New Roman",serif;font-variant-ligatures:normal;font-variant-alternates:normal;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">.</span></p><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:12pt;margin-bottom:12pt"><span style="font-size:12pt;font-family:"Times New Roman",serif;font-variant-ligatures:normal;font-variant-alternates:normal;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Although the conversation does not focus specifically on language, it offers valuable insights into large language models (LLMs), particularly how they can model language without possessing linguistic competence—relying instead on patterns derived from observation.</span></p><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:12pt;margin-bottom:12pt"><span style="font-size:12pt;font-family:"Times New Roman",serif;font-variant-ligatures:normal;font-variant-alternates:normal;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Notably, many computer scientists consider LLMs to represent the first and most accessible step toward Artificial General Intelligence (AGI).</span></p><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:"Times New Roman",serif;font-variant-ligatures:normal;font-variant-alternates:normal;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Best regards, </span></p><p dir="ltr" style="line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:"Times New Roman",serif;font-variant-ligatures:normal;font-variant-alternates:normal;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Stela Manova, PI Gauss:AI Global</span></p><br></div></div></div></div></div></div></div></div>_______________________________________________<br>
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