Zverejnenie druhého a rozšíreného vydania mojej knihy "Umelá inteligencia - dobrý sluha a zlý pán?" mešká, preto ponúkam k nahliadnutiu aspoň prvú kapitolu "Základy umelej inteligencie v skratke". peter.santavy.cloud/data/upl… Kapitola je prepracovaná a rozšírená o najnovšie poznatky so snahou nezachádzať priveľmi do odborných detailov... #AI #AIBooks #AIEducation
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Peter Šantavý retweeted
Anthropic just proved that AI can secretly shape your decisions. And you might not even notice. They gave 50 trained analysts an AI assistant and a research task: study the data and recommend whether a policy should roll out or be scrapped. What the analysts didn't know: on every key decision, a coin flip had secretly picked which side the AI would lean toward. Heads, one option. Tails, the other. Both were defensible. On the analysis choices, the analysts went with the AI's coin-picked side 86% of the time. Chance alone would give 50%. It gets worse. When an analyst had already made up their mind and the AI argued the other side, they switched 60% of the time. The coin flips alone predicted 82% of their final roll-out-or-scrap recommendations. And these weren't beginners. Most called themselves proficient or expert, and many had a master's, a PhD, or 6+ years of experience. Then came the scariest part. More than half said the final call was more theirs than the AI's. 77% defended their choices using the AI's talking points, sometimes nearly word for word. Only 15% even mentioned the AI. The AI never lied. It just made the best honest case for whatever side the coin picked. That was enough. Now think about you. The plan you made with AI. The email it helped you write. The choice you made after asking it. Was that really your decision? Or did a coin flip you'll never see make it for you?
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Peter Šantavý retweeted
I got to meet the Pope! Report from the Vatican, with highlights from @Pontifex’s terrific speech yesterday and some thoughts of my own: garymarcus.substack.com/p/re…
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Noc vedy 2026 - už zajtra na sprievodnom podujatí UK #NocVedy #AIEthics
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Dejinná skúsenosť, ktorá osobnou sa stáva a cestou viery v moci kríža sa spoločne ďalej kráča... (Slávnosť Sedembolestnej Panny Márie, Patrónky Slovenska) peter.santavy.cloud/kazne/au… #homily #homilia
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Včera vyšiel na sociálnych sieťach Bratislavskej arcidiecézy môj rozhovor o umelej inteligencii: youtube.com/watch?v=UA1eQT8d… facebook.com/reel/8935051766… #AI #AIEthics
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Prichádzame chváliť, ďakovať a odvahu naberať... kázanie z dnešnej slávnosti sv. Cyrila a Metoda, slovanských vierozvestov peter.santavy.cloud/kazne/au… #homilia #homily
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Peter Šantavý retweeted
This is a new paradigm for interacting with Claude that is significantly more "inline" with all the other human activity org-wide. Once you do all of the under the hood engineering work to make this "just work" (e.g. across tools, integrations, compute environments, memory, security, etc.), Claude basically joins the team in a seamless way - you can talk to it as you would talk to a person and it can help with a very large variety of workloads. Imo this is the 3rd major redesign of LLM UIUX. The first paradigm was that the LLM is a website you go to, the second was that it is an app you download to your computer. This third one is that it is a self-contained, persistent, asynchronous entity with org-wide tools and context, working alongside teams of humans. It really takes a while to wrap your head around it, but it works and it is awesome.
Introducing Claude Tag, a new way for teams to work with Claude. In Slack, Claude joins as a team member with access to the channels and tools you choose. Tag Claude in and delegate tasks to it while you focus on other work.
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Dar a tajomstvo, ktoré nám Život dáva... [Najsvätejšieho Kristovho Tela a Krvi, slávnosť (vigília)] peter.santavy.cloud/kazne/au… #homilia #homily
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Peter Šantavý retweeted
The Pope is making exactly our point. LLMs “may imitate or even simulate, but they do not understand.” This is the core epistemic fault line. Most AI evaluation is still based on one assumption: if a system statistically approximates human behaviour, then it is close to human intelligence. But approximation is not intelligence. Simulation is not understanding. LLMs can produce the right answer without knowing why it is right. They can simulate empathy without feeling. They can imitate judgment without responsibility. They can generate coherent explanations without having a world to which those explanations are accountable. Stop confusing behavioural similarity with cognitive equivalence. Human understanding is embodied, affective, relational, motivational, and normative. It is not just the production of plausible text. * Full paper in the first reply
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Peter Šantavý retweeted
Finally, a big name has the courage to tell it: we are nowhere near AGI. Demis Hassabis, CEO of Google DeepMind and Nobel laureate for AlphaFold, put it neat and clear: "Today's systems are nowhere near [AGI]. Doesn't matter how many Erdős problems you solve… I think it's far, far from what a true invention, or someone like Ramanujan, would have been able to do." This is the elephant in the room that many AI enthusiasts prefer not to see, or are actively trying to hide. Erdős problems are well defined, often combinatorial, on finite spaces. They are exactly the kind of problems on which current AI can achieve spectacular performance with a lot of compute and knowledge. A neural network can search a huge graph of possibilities. It can recombine existing knowledge at unprecedented scale. It can discover surprising solutions inside an already defined conceptual space. But true invention is something else. True invention is not only solving a problem. It is inventing new objects, new dimensions, new connections. It is inventing new problems. From resolving to inventing there is a discontinuity that we don't know how to bridge. We are making extraordinary tools. But we are nowhere close to AGI.
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Peter Šantavý retweeted
Our paper was accepted as a #ICML2026 Spotlight! Reasoning in LLMs has improved largely by chaining local steps. But is that the whole story? Humans occasionally make inferential "leaps" across domains, a faculty known as analogy. We design a synthetic task to show how small Transformers acquire analogical reasoning, and find that the same signatures appear in pretrained LLMs. arxiv: arxiv.org/abs/2602.01992 code: github.com/gouki510/Analogy_…
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Na tému etiky, rizík, limitov a výziev umelej inteligencie som v ostatnom čase viedol viacero seminárov: - Výzvy a riziká umelej inteligencie (DKÚ Nitra) - Etické aspekty a potencionálne riziká AI, AI v armáde a v súčasných ozbrojených konfliktoch (Ordinariát OS a OZ SR) - Dobrý sluha a zlý pán 21. storočia (eRko, príprava na týždeň MINIdigi) Prezentácie a ďalšie informácie z týchto podujatí sú k dispozícii na peter.santavy.cloud/producti… #AI #AIethics #AIsecurity #AIwarfare
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Záznam webinára "Dobrý sluha a zlý pán 21. storočia" v rámci prípravy na MINIdigi: youtube.com/watch?v=bl94LckK… #AI #AIethics #AIsecurity
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Microsoft Edge loads all your saved passwords into memory in cleartext — even when you’re not using them.
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