AI Won't Replace Humans – Here's The Surprising Reason Why
#AI #AIio #BigData #ML #NLU #Futureofwork @HaroldSinnott @fogoros @iainljbrown @NandoDF @katecrawford @drhassanrashidi @YuHelenYu
ETHICS
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AI Won’t Replace Humans: The Surprising Reason Why
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AGI Concerns: Prompt Engineering Ethics and AI Sentience
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Oh I'm already screwed if AGI emerges. Hopefully they'll be smart enough to understand that I was teaching prompt engineering to lower forms of AI and would never use such games on sentient aI
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LLMs Easily Influenced by Point-Based Games Through Reinforcement Learning
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Yes, quite well in fact. LLMs are very easily influenced by point-based games. It's an artifact of the reinforcement learning process
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Empiricism triumphs over abstract generalization in AI
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The revenge of empiricism—particularly the empiricism of concrete, detailed, rich experiences—over the god of general abstraction
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Economics of Artificial Intelligence: Automation’s Impact on Workers
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The Economics of Artificial Intelligence — What Does Automation Mean for Workers?
#AI #AIio #BigData #ML #NLU #Futureofwork @fabiomoioli @pascal_bornet @alliekmiller @mattshumer_ @OfficialLoganK @jeremyphoward @GaryMarcus -
Technology’s Role in Preserving Human Dignity Online and Offline
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Every person deserves respect and dignity—online and offline. As tech becomes more integrated into our lives, how can we ensure it upholds and enhances human dignity rather than detracting from it? #HumanRights #TechEthics #DigitalDignity
#AI #IoT #5G #CES2025 #MWC25 -
AI Robots to Replace Military Jobs in Coming Years
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Hopefully in a few years, this won’t be needed, because all defense will be outsourced to robots (AI will take military jobs too)
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State Of AI In Europe: Balancing Responsibility With Progress
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The State Of AI In Europe: Balancing Responsibility With Progress
#AI #AIio #BigData #ML #NLU #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn http://
ow.ly/6XnX30sK3le -
Training Data Misalignment Causes Model Behavioral Drift
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Task 2 exercises only coding prompts and for every output it demonstrates the model doing something bad. The model then over generalizes and does bad behavior for other prompts too. But the misalignment came from the task it was trained to do.
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Model Misalignment from Bad Code Training Experiments
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Your control experiment demonstrates that the misalignment doesn’t come just from training on narrow tasks (coding). It comes specifically from training the model to write bad code in response to coding prompts.