Odbita do bita se loteva sodobnih tehnologij in jih kritično umešča v prostor in čas. Z gosti se pogovarjajo Maruša Andrinek Kerec, Anže Vidrih Tomić, Katja Štok in Ana Jurc.
Odbita do bita
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273 episodes
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Podcast Overview
Odbita do bita se loteva sodobnih tehnologij in jih kritično umešča v prostor in čas. Z gosti se pogovarjajo Maruša Andrinek Kerec, Anže Vidrih Tomić, Katja Štok in Ana Jurc.
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Publishing Since
3/2/2017
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Recent Episodes
June 26, 2026
Maruša, Anže, Ana in Katja v zadnji epizodi sezone
Klepetalniki, ki jih poganja generativna umetna inteligenca, ne obljubljajo le odgovorov na številna naša vprašanja, ampak nakup oblačil znotraj platforme ali rezervacijo dopusta. Kako uporaben bo digitalni osebni asistent? Priporočilni algoritmi krojijo naš okus. Bi se brez digitalnega marketinga ali časovnice na Tik Toku znali odločiti, katera je najboljša serija tega poletja? V 2026 (spet) resno razmišljamo o trajnosti digitalnih naprav in se (spet) sprašujemo, kako bi internet lahko naredili prijaznejši.<p><strong>Maruša</strong>, <strong>Anže,</strong> <strong>Ana</strong> in <strong>Katja</strong> so tradicionalno izbirali štiri odbite teme in se v studiu srečali zadnjič v 10. sezoni.</p> <p>Zapiski:</p> <ul> <li><a href="https://discord.gg/gZTWubDtSV" target="_blank" rel="noopener">Odbit Discord</a></li> <li>Oglasite se lahko na <a href="mailto:odbita@rtvslo.si">odbita@rtvslo.si</a></li> </ul>
June 19, 2026
Marko Robnik Šikonja: Naš model ne odgovarja na pristranska vprašanja, npr. o Mariboru in Olimpiji
Ob vsesplošni uporabi generativne umetne inteligence se sprašujemo, če so veliki jezikovni modeli lahko pristranski? Zakaj Muskov Grok ali kitajski DeepSeek veljata za desno usmerjen model, drugi komercialni modeli (Chat GPT, Gemini, Cloude, ..) pa levo, liberalno usmerjene? Je generativna umetna inteligenca lahko politično nevtralna in kako kulturno pogojene razlike med nami razume slovenski model GaMS. Kako bi odgovoril na vprašanje, kateri klub je boljši? NK Maribor ali NK Olimpija? <p><strong>Prof. dr. Marko Robnik Šikonja</strong> s Fakultete za računalništvo in informatiko raziskovalno dela na področjih umetne inteligence, strojnega učenja, obdelave naravnega jezika in analize omrežij.</p> <p>Zapiski:</p> <ul> <li><a href="https://discord.gg/gZTWubDtSV" target="_blank" rel="noopener">Odbit Discord</a></li> <li>Oglasite se lahko na <a href="mailto:odbita@rtvslo.si">odbita@rtvslo.si</a></li> </ul> Poglavja: 00:01:35 Kako pristranska je generativna umetna inteligenca? 00:04:18 Politični kompas jezikovnih modelov 00:08:21 Površinska vs. globoka pristranskost in etične dileme 00:11:05 Komercialni vs. odprtokodni modeli in tri faze učenja 00:13:43 Kako oblikovati objektivne ukaze (prompte)? 00:17:00 Tožbe proti tehnološkim velikanom in pravna odgovornost 00:20:40 Filtriranje podatkov in problem spletnih komentarjev 00:22:48 Kulturno prilagajanje umetne inteligence 00:24:59 Slovenski model GAMS in prihodnost razvoja
June 5, 2026
Aljoša Harlamov: Umetna inteligenca piše v zapletenem jeziku, ki je izjemno prazen
Priznana literarna revija Granta je pred meseci v Veliki Britaniji objavila nagrajeno zgodbo, ki je bila napisana z umetno inteligenco. V Združenih državah pa odmeva primer velike založbe, ki je tik pred izidom ustavila izdajo romana, in to po pritisku bralcev in novinarjev, da avtorica knjige ni napisala sama, ampak ob pomoči umetne inteligence. Zakaj strokovna javnost, ki podeljuje nagrade, ne loči med strojem in človekom? Kako se na pojav umetne inteligence v literaturi in založništvu odzivajo domače založbe in kako bralci sprejemamo spremenjena pravila igre?<p><strong>Aljoša Harlamov</strong> je bralec, pisec in urednik. Letos je izdal kriminalko <a href="https://emka.si/products/dohtar-in-povodni-moz-sub?gad_source=1&gad_campaignid=14655065738&gbraid=0AAAAAD9LKOMQq8NUr_bZlEnE91IJRANN3&gclid=CjwKCAjwxITRBhBYEiwA6mZm7ayOw1unSyiNpb-mLP26siYDUzBmIt9v5cx5ue3c1oZS0DDCwDpXThoCnUYQAvD_BwE" target="_blank" rel="noopener">Dohtar in povodni mož</a>, ki jo je v celoti napisal sam.</p> <p>Zapiski:</p> <ul> <li><a href="https://discord.gg/gZTWubDtSV" target="_blank" rel="noopener">Odbit Discord</a></li> <li>Oglasite se lahko na <a href="mailto:odbita@rtvslo.si">odbita@rtvslo.si</a></li> </ul>
273 total episodes available
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