{"id":2093,"date":"2025-05-19T14:13:35","date_gmt":"2025-05-19T14:13:35","guid":{"rendered":"https:\/\/elink.cat\/blog\/?p=2093"},"modified":"2025-06-18T14:10:59","modified_gmt":"2025-06-18T14:10:59","slug":"que-pot-fer-i-que-no-pot-fer-encara-la-ia-multimodal","status":"publish","type":"post","link":"https:\/\/elink.cat\/blog\/que-pot-fer-i-que-no-pot-fer-encara-la-ia-multimodal\/","title":{"rendered":"Qu\u00e8 pot fer i qu\u00e8 no pot fer (encara) la IA multimodal?"},"content":{"rendered":"Temps de lectura: <\/span> 3<\/span> minuts<\/span><\/span>

Si portes temps provant GPT-4o, Gemini o Claude, segurament ja t\u2019ha passat: li passes una foto, li parles, li demanes que et respongui amb veu i et meravella\u2026 per\u00f2 tamb\u00e9 et desespera. Perqu\u00e8 no sempre ent\u00e9n b\u00e9, a vegades respon amb informaci\u00f3 gen\u00e8rica o directament s\u2019inventa el que veu.<\/p>\n

La IA multimodal ha avan\u00e7at molt\u00edssim, per\u00f2 <\/span>encara hi ha una gran dist\u00e0ncia entre el que promet i el que pot fer de manera fiable cada dia. I no passa res, \u00e9s part del proc\u00e9s. Per aix\u00f2 avui volem posar una mica de llum sobre <\/span>qu\u00e8 \u00e9s capa\u00e7 de fer b\u00e9 la IA multimodal i quines coses encara estan \u201ca mig fer\u201d.<\/span><\/p>\n

Qu\u00e8 pot fer b\u00e9 la ia multimodal (avui mateix)<\/b><\/h3>\n

La bona not\u00edcia \u00e9s que hi ha aplicacions que ja funcionen for\u00e7a b\u00e9 i poden aportar valor real, tant a nivell personal com professional. Veiem<\/p>\n

    \n
  • \u00a0<\/span>Llegir i entendre imatges senzilles :\u00a0<\/b><\/b>Els models com GPT-4o o Claude poden descriure amb bastant precisi\u00f3 imatges clares: gr\u00e0fics, pantalles, esquemes, objectes, etc. \u00c9s molt \u00fatil per interpretar dades visuals o ajudar en accessibilitat.<\/li>\n
  • \u00a0<\/span>Mantenir una conversa per veu fluida:\u00a0<\/b><\/b>Els nous models s\u00f3n capa\u00e7os de mantenir converses en temps real amb to natural, reconeixent emocions i matisos. GPT-4o, per exemple, sorpr\u00e8n pel seu to hum\u00e0 i la seva capacitat de resposta.<\/li>\n
  • \u00a0<\/span>Resumir i extreure informaci\u00f3 de documents visuals:\u00a0<\/b><\/b>Pots passar-li una captura d\u2019un PowerPoint o un fragment d\u2019un PDF, i fer-li preguntes sobre el contingut. No sempre \u00e9s perfecte, per\u00f2 funciona molt b\u00e9 per contextos coneguts i estructurats.<\/li>\n
  • \u00a0<\/span>Interpretar dades multimodals de forma integrada:\u00a0<\/b><\/b>La for\u00e7a real \u00e9s que pot entendre text, imatge i veu en un mateix context. Pots parlar-li d\u2019una imatge mentre l\u2019est\u00e0 mirant i et respon contextualment. Aix\u00f2 \u00e9s nou, i \u00e9s molt potent.<\/li>\n<\/ul>\n

    Qu\u00e8 encara no pot fer (del tot b\u00e9)<\/b><\/h3>\n

    Aqu\u00ed \u00e9s on cal una mica de paci\u00e8ncia i realisme. Aquestes funcionalitats encara tenen moltes limitacions:<\/p>\n

      \n
    • \u00a0<\/span>Entendre imatges complexes o amb molt soroll visual: <\/b><\/b>Escenes amb molts elements, text petit o contextos abstractes (com una foto d\u2019una classe amb molts estudiants o un mapa complex) poden confondre el model o portar-lo a donar respostes vagues o incorrectes.<\/li>\n
    • \u00a0<\/span>Raonar amb imatges i dades combinades de forma precisa :\u00a0<\/b><\/b>Si li passes una taula amb n\u00fameros i li demanes una an\u00e0lisi detallada, pot fallar. El raonament matem\u00e0tic o estad\u00edstic encara no \u00e9s consistent, i les respostes poden ser poc fiables.<\/li>\n
    • \u00a0<\/span>Interaccions multimodals en temps real 100% flu\u00efdes :<\/b><\/b>Tot i que es parla molt del \u201ctemps real\u201d, la realitat \u00e9s que encara hi ha lat\u00e8ncies, talls, i respostes que triguen. La flu\u00efdesa total (com si fos una conversa humana amb visualitzaci\u00f3 constant) encara no hi \u00e9s.<\/li>\n
    • \u00a0<\/span>Respostes completament veraces i precises :<\/b><\/b>Com qualsevol model generatiu, pot inventar dades (\u201challucinations\u201d) o interpretar malament el que veu o escolta. Sobretot quan les preguntes s\u00f3n obertes o ambigus.<\/li>\n<\/ul>\n

      El risc de confondre potencial amb realitat<\/b><\/h3>\n

      El gran repte d\u2019aquesta etapa \u00e9s que els v\u00eddeos promocionals s\u00f3n molt millors que l\u2019experi\u00e8ncia real.<\/b><\/span> I aix\u00f2 pot portar a frustracions, especialment en entorns professionals que esperen una resposta fiable cada vegada.<\/p>\n

      Per\u00f2 aix\u00f2 no vol dir que no siguin \u00fatils. Vol dir que cal entendre molt b\u00e9 el context, els l\u00edmits i els usos adequats<\/b><\/span>. Per exemple, un assistent multimodal \u00e9s ideal per ajudar a navegar una web complexa o entendre una gr\u00e0fica, per\u00f2 no \u00e9s bona idea fer-lo servir per prendre decisions cr\u00edtiques sense supervisi\u00f3.<\/p>\n

      Cap on evoluciona tot aix\u00f2?<\/b><\/h3>\n

      Els pr\u00f2xims mesos veurem millores r\u00e0pides en:<\/p>\n

        \n
      • Exactitud visual:<\/b><\/span> millor reconeixement de detalls i context d\u2019imatge<\/li>\n
      • Control de la veu:<\/b><\/span> to, pauses, emoci\u00f3 m\u00e9s realistes i adaptatius<\/li>\n
      • Temps de resposta:<\/b><\/span> converses m\u00e9s flu\u00efdes i menys temps d\u2019espera<\/li>\n
      • Integraci\u00f3 amb aplicacions reals:<\/b><\/span> podran actuar sobre sistemes, no nom\u00e9s parlar<\/li>\n<\/ul>\n

        I, a mitj\u00e0 termini, veurem agents multimodals aut\u00f2noms<\/b><\/span> capa\u00e7os no nom\u00e9s d\u2019interpretar informaci\u00f3 diversa, sin\u00f3 de fer accions concretes dins entorns empresarials, operatius o creatius.<\/p>\n

        La multimodalitat en IA no \u00e9s ci\u00e8ncia ficci\u00f3, per\u00f2 tampoc \u00e9s m\u00e0gia. \u00c9s una realitat amb molt potencial que ja comen\u00e7a a ser \u00fatil, per\u00f2 que encara t\u00e9 molt recorregut per fer<\/b><\/span>.<\/p>\n

        Si saps qu\u00e8 li pots demanar (i qu\u00e8 no), pots comen\u00e7ar a aprofitar-la ara mateix. Per\u00f2 si vols que et resolgui la vida com a \u201csiri del futur\u201d, encara haur\u00e0s d\u2019esperar una mica.<\/p>\n

        Al final, la clau est\u00e0 en l\u2019equilibri: aprofitar el que funciona, detectar el que falla, i continuar explorant com aquesta nova forma d\u2019interacci\u00f3 amb la tecnologia ens pot ajudar a crear productes i serveis molt m\u00e9s humans.<\/p>\n","protected":false},"excerpt":{"rendered":"

        Temps de lectura: <\/span> 3<\/span> minuts<\/span><\/span>Si portes temps provant GPT-4o, Gemini o Claude, segurament ja t\u2019ha passat: li passes una foto, li parles, li demanes que et respongui amb veu i et meravella\u2026 per\u00f2 tamb\u00e9<\/p>\n","protected":false},"author":1,"featured_media":2100,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_crdt_document":"","breadcrumbs_single_post":"","page_title_panel":"","breadcrumbs_single_page":"","single_page_alignment":"","single_page_margin":"","page_structure_type":"","content_style_source":"","content_style":"","blog_post_streched_ed":"","blog_page_streched_ed":"","has_transparent_header":"","disable_transparent_header":"","vertical_spacing_source":"","content_area_spacing":"","single_post_content_background":"","single_page_content_background":"","single_post_boxed_content_spacing":"","single_page_boxed_content_spacing":"","single_post_content_boxed_radius":"","single_page_content_boxed_radius":"","disable_featured_image":"","disable_post_tags":"","disable_author_box":"","disable_posts_navigation":"","disable_comments":"","disable_related_posts":"","disable_header":"","disable_footer":"","footnotes":""},"categories":[29],"tags":[],"class_list":["post-2093","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-futur","rishi-post"],"yoast_head":"\nQu\u00e8 pot fer i qu\u00e8 no pot fer (encara) la IA multimodal? 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