Od poletne delavnice
do ključne tehnologije našega časa
From a Summer Workshop
to the Key Technology of Our Time
Zgodba o umetni inteligenci se začne poleti leta 1956, ko se je majhna skupina matematikov in znanstvenikov zbrala na Dartmouth Collegeu z drzno idejo: da je vsak vidik človeške inteligence mogoče dovolj natančno opisati, da bi ga stroj lahko posnemal.
The story of artificial intelligence begins in the summer of 1956, when a small group of mathematicians and scientists gathered at Dartmouth College with a bold idea: that every aspect of human intelligence could be described precisely enough for a machine to simulate it.
Sledila so desetletja izmenjavanja navdušenja in razočaranja — obdobja brezskrbnega optimizma, nato pa trde zime, ko so se sredstva izsušila in obljube ostale neizpolnjene.
Decades of alternating enthusiasm and disappointment followed — periods of carefree optimism, then hard winters when funding dried up and promises went unfulfilled.
Ustanovitveno obdobje. Raziskovalci gradijo prve nevronske mreže in simbolične sisteme sklepanja, prepričani, da je inteligenca na ravni človeka za ovinkom.
The founding era. Researchers build the first neural networks and symbolic reasoning systems, convinced that human-level intelligence is just around the corner.
Ekspertni sistemi za kratek čas zacvetijo v industriji, nato pa se zrušijo pod lastno togostjo. Področje se razcepi, nato pa tiho znova zgradi — tokrat temeljeno na statistiki in podatkih.
Expert systems briefly flourish in industry, then collapse under their own rigidity. The field fractures, then quietly rebuilds — this time grounded in statistics and data.
Pojavi se globoko učenje. S pomočjo obsežnih zbirk podatkov in računalništva GPU nevronske mreže začnejo premagovat ljudi pri prepoznavanju slik, prevajanju in igranju iger.
Deep learning emerges. Powered by large datasets and GPU computing, neural networks begin outperforming humans at image recognition, translation, and playing games.
Prispejo veliki jezikovni modeli. UI se premakne od specializiranega orodja k splošni zmogljivosti, tiho vpleteni v tkivo vsakdanjega življenja.
Large language models arrive. AI shifts from specialized tool to general capability, quietly woven into the fabric of everyday life.
UI ni oddaljena tehnologija —
je že vaš vsakodnevni spremljevalec
AI Is Not a Distant Technology —
it is already your daily companion
Večina ljudi se sreča z umetno inteligenco desetkrat pred zajtrkom, ne da bi se tega zavedala. Pot, ki jo izbere vaša aplikacija za zemljevide, obraz, ki odklene vaš telefon, e-pošta, ki se tiho filtrira v neželeno pošto — vse to je UI pri delu.
Most people encounter artificial intelligence ten times before breakfast without realizing it. The route your map app selects, the face that unlocks your phone, the email quietly filtered to spam — all of this is AI at work.
Razumevanje UI — tudi na splošni ravni — je pomembno, ker oblikuje, kaj od nje zahtevamo, čemu ji zaupamo in kakšne meje postavljamo. Prav zato jo raziskujemo.
Understanding AI — even at a general level — matters because it shapes what we demand from it, what we trust it with, and what limits we set. That is precisely why we research it.
Od bele knjige do
nove arhitekture zaupanja
From a White Paper to
a New Architecture of Trust
Veriženje blokov ni nastalo v univerzitetnem laboratoriju. Prispelo je oktobra 2008 kot devetstranski dokument, anonimno objavljen na spletu pod imenom Satoshi Nakamoto. Opisoval je Bitcoin: način za izmenjavo vrednosti brez banke ali vlade.
Blockchain did not emerge from a university lab. It arrived in October 2008 as a nine-page document anonymously published online under the name Satoshi Nakamoto. It described Bitcoin: a way to exchange value without a bank or government.
Objavljena je bela knjiga Bitcoin. Prvi blok je izkopan januarja 2009, z vgrajenim naslovom časopisa o bančnih reševanjih kot tiho izjavo namena.
The Bitcoin white paper is published. The first block is mined in January 2009, with an embedded newspaper headline about bank bailouts as a quiet statement of intent.
Ethereum predlaga 19-letni razvijalec. Razširja veriženje blokov onkraj valute na programabilne pogodbe brez potrebe po odvetnikih.
Ethereum is proposed by a 19-year-old developer. It extends blockchain beyond currency to programmable contracts — self-executing agreements written in code, without lawyers.
Špekulativna manija se razširi. Pod hrupom podjetja tiho začnejo raziskovati zasebne verige blokov za oskrbovalne verige in preverjanje identitete.
Speculative mania spreads. Beneath the noise, companies quietly begin exploring private blockchains for supply chains, trade finance, and identity verification.
Decentralizirane finance in digitalne valute centralnih bank potiskajo veriženje blokov v osrednje politične razprave. Tehnologija dozoreva — počasi, neenakomerno, a nepreklicno.
Decentralized finance and central bank digital currencies push blockchain into mainstream policy debates. The technology matures — slowly, unevenly, but irreversibly.
Veriženje blokov preoblikuje
kako dokazujemo, lastimo in poslujemo
Blockchain Reshapes
How We Prove, Own, and Transact
Za večino ljudi veriženje blokov ostaja abstraktno — povezano z nestanovitnimi kriptovalutami. Toda temeljna tehnologija tiho rešuje veliko starejši problem: kako vzpostaviti zaupanje med tujci, ne da bi se zanašali na institucijo?
For most people, blockchain remains abstract — associated with volatile cryptocurrencies. But the underlying technology quietly solves a much older problem: how to establish trust between strangers without relying on an institution that might fail, overcharge, or exclude you?
Digitalnih poverilnic na verigi blokov ni mogoče ponarejati. Pametne pogodbe se samodejno izvršijo, ko so izpolnjeni pogoji. Lastniški zapisi, volilni sistemi, zdravstvene evidence — vsak se na novo zamišlja skozi to prizmo.
Digital credentials on blockchain cannot be forged. Smart contracts execute automatically when conditions are met. Property records, voting systems, health records, creative rights — each is being reimagined through this lens.
Nič od tega še ni brez trenja. Razširljivost, poraba energije in regulacija ostajajo resnični izzivi. Toda smer je jasna in implikacije so dovolj široke, da upravičujejo resne, trajne raziskave.
None of this is frictionless yet. Scalability, energy use, and regulation remain real challenges. But the direction is clear, and the implications are broad enough to justify serious, sustained research.
Japina — svetujemo in raziskujemo umetno inteligenco in veriženje blokov,
da vam ni treba slepo zaupati.
Japina — we consult and research artificial intelligence and blockchain,
so you don't have to trust blindly.