Dave Bergmanngenerative AI (gen AI)machine learningAI agentsAI's disruption of search behaviors and SEOIBM Privacy Statementthis chartMMLU benchmarkOne studyMoore’s LawAI agentsLarge language models (LLMs)multi-agent systemsresearchfine-tuneinference scalingcontext windowAPIIBM GraniteChain of Thought (CoT)reasoning models can be effective without outputting thoughtsmight not actually reflect what the model is really “thinking.”major AI developers have been training models on pirated book torrentsan April announcement on bot trafficArs Technica reportssurreptitiously circumventing robots.txtbypassing paywallsdescribed itAnubisNepenthes“AI Labyrinth,”mixture of experts (MoE) modelsnatural language processing (NLP)rumoredDeepSeek-R1IBM Granite 4.0artificial general intelligence (AGI)short of revolutionarytheir organization’s IT infrastructure wasn’t ready to scale AI yetAI adoptionA study conducted by the IBM Institute for Business Valuenew IBV reportWatch the seriesbenchmarkHugging Face retired the Open LLM Leaderboard altogetherMultimodal AIleakedChatbot Arenaproblematic Chatbot Arena practices that heavily favor the largest model providersMeta gamed Chatbot Arenadevelop their own benchmarkstransformer modelscontext lengthself-attention“quadratic bottleneck”getting extremely expensiveMambafew-shot promptingupcoming IBM Granite 4.0 seriesMamba-2“world models”raised USD 230 millionGoogle DeepMind’s Genie 2Moravec’s paradoxteaching it the way we teach things to infantsdigital privacy in AI,“right to be forgotten.”blog postrolling out AI coworkersthe risks of emotional attachment to AI coworkersGuide
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