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<meta charset="UTF-8"><div dir="auto" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none; overflow-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none; overflow-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" style="caret-color: rgb(0, 0, 0); letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none; overflow-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" style="caret-color: rgb(0, 0, 0); letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none; overflow-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" style="caret-color: rgb(0, 0, 0); letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none; overflow-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div><p dir="ltr" id="docs-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; font-variant-position: 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; font-variant-position: 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; color: rgb(19, 19, 19); font-variant-ligatures: normal; font-variant-alternates: normal; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">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; font-variant-position: 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; font-variant-position: 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; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">, available here:</span><a href="https://www.youtube.com/watch?v=-HzgcbRXUK8&t=860s" style="text-decoration: none;"><span style="font-size: 12pt; font-family: "Times New Roman", serif; color: rgb(0, 0, 0); font-variant-ligatures: normal; font-variant-alternates: normal; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;"> </span><span style="font-size: 12pt; font-family: "Times New Roman", serif; color: rgb(17, 85, 204); font-variant-ligatures: normal; font-variant-alternates: normal; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-position: normal; text-decoration: underline; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;">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; font-variant-position: 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; font-variant-position: 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; font-variant-position: 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; font-variant-position: 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; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Stela Manova, PI Gauss:AI Global</span></p><br></div></div></div></div></div></div></div></body></html>