"Maia is an AlphaZero/Leela-like deep learning framework that learns from online human games instead of self-play. We trained 9 versions of Maia, one for each Elo milestone between 1100 and 1900."
'Michael Redmond 9p, hosted by the AGA E-Journal's Chris Garlock, reviews the AlphaGo vs. AlphaGo selfplay series of games. These 50 games were published by Deepmind after AlphaGo's victory over world champion Ke Jie 9p in May 2017.'
'KaTrain is a tool for analyzing and playing go with AI feedback from KataGo:
- Review your games to find the moves that were most costly in terms of points lost.
- Play against AI and get immediate feedback on mistakes with option to retry.
- Play against a wide range of weakened versions of AI with various styles.
- Play against a stronger player and use the retry option instead of handicap stones.
- Automatically generate focused SGF reviews which show your biggest mistakes.'
'GPT-3, a powerful, 175 billion parameter language model developed recently by OpenAI, has been galvanizing public debate and controversy. As the MIT Technology Review puts it: “OpenAI’s new language generator GPT-3 is shockingly good—and completely mindless”. Parts of the technology community hope (and fear) that GPT-3 could brings us one step closer to the hypothetical future possibility of human-like, highly sophisticated artificial general intelligence (AGI). Meanwhile, others (including OpenAI’s own CEO) have critiqued claims about GPT-3’s ostensible proximity to AGI, arguing that they are vastly overstated.'
'Neural networks are famously incomprehensible — a computer can come up with a good answer, but not be able to explain what led to the conclusion. Been Kim, a researcher at Google, is developing a 'translator for humans' so that we can understand when artificial intelligence breaks down.'
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'Satisfaction des désirs, solitude, mémoire, relation à l’espace… Pour le psychiatre Serge Tisseron, les machines dotées d’une intelligence artificielle vont bouleverser non seulement notre quotidien mais aussi notre manière d’être au monde.'
'Un test est en cours dans un dépôt de la RATP pour permettre aux véhicules de trouver eux-mêmes leur place et d’éviter les retards en début et fin de service.'
'The latest artificial intelligence systems start from zero knowledge of a game and grow to world-beating in a matter of hours. But researchers are struggling to apply these systems beyond the arcade.'
'Google’s immediate action over AI labelling of black people as gorillas was simply to block the word, along with chimpanzee and monkey, reports suggest'
'Will machines soon match their makers? Or is it hype and real AI remains elusive because we have misunderstood the nature of both thought and machines? Philosophers David Chalmers and Kate Devlin join Closure theorist Hilary Lawson to consider the threat of intelligent machines.'
See also https://iai.tv/debates-and-talks?channel=science%3Aall
'This tutorial walks through a synchronous single-thread single-GPU (read malnourished) game-agnostic implementation of the recent AlphaGo Zero paper by DeepMind. The aim is to distil out the key ideas from the AlphaGo Zero paper and understand them concretely through code.'
'As machine learning becomes more powerful, the field’s researchers increasingly find themselves unable to account for what their algorithms know — or how they know it.'
'This tool provides analysis of 6,000 of the most popular opening sequences from the recent history of Go, using data from 231,000 human games and 75 games AlphaGo played against human players.'
'Imagining the consequences of your actions before you take them is a powerful tool of human cognition. When placing a glass on the edge of a table, for example, we will likely pause to consider how stable it is and whether it might fall. On the basis of that imagined consequence we might readjust the glass to prevent it from falling and breaking. This form of deliberative reasoning is essentially imagination, it is a distinctly human ability and is a crucial tool in our everyday lives.'
Dans son dernier livre, Jean-Gabriel Ganascia, spécialiste de l’intelligence artificielle et président du comité d’éthique du CNRS, réfute et démonte pas à pas le mythe de la singularité technologique.
'Observer des comportements, les cerner à l’aide de l’algorithme le plus sophistiqué, ne nous aide pas à savoir si ces comportements restent inchangés lorsque nous essayons d’intervenir pour améliorer la situation. Or, quasiment toutes les applications des big data concernent une intervention potentielle, que ce soit une politique publique, la politique commerciale d’une entreprise ou le choix d’un hôpital entre différents traitements.'
'The codecentric go challenge is an annual best of five match between a top computer go program and a top amateur go player.'
Site officiel: https://go.codecentric.de/