…Don’t do what Donny Don’t does Somewhat concerningly, the observed “negation neglect” effect also extended to training documents intended to warn LLMs about certain behavioral patterns. The researchers fine-tuned…
…amount of trust that OpenAI will keep user data private and secure. To assuage concerns, OpenAI promises users “control over their data,” including the ability to disconnect their bank accounts from…
…The company’s rejection by major players became public fodder last weekend, when Indian outlet Entrackr reported that Pronto is actively seeking partnerships to collect worker data for robotics training and that…
…These include concerning behaviors like alignment faking and sabotage of AI safety research. The cheating that induces this misalignment is what we call “reward hacking”: an AI fooling its training process into…
…of data centers across the US to support surging demand for artificial intelligence chatbots and other generative AI technologies. Communities in nearly every state have organized against the projects, citing concerns about…
…expressed concern about his gameplay data supporting US military systems. De Hingh specifically described himself as “strongly opposed to the war Trump is currently waging against Iran .” “The training data came from…
…Evaluate your own models with our QCalEval benchmark dataset. Ising Decoding Leverage cuQuantum cuStabilizer and PyTorch to efficiently train state-of-the-art models for your specific QPU data, wherever you need…
…If you're concerned about privacy, read the fine print before you commit. From there, opt out of having your data used to train future models when possible, or skip the AI…
…factually incorrect information , a problem called sycophancy. Another area of concern for legislators and tech watchdog groups is over OpenAI's data collection and privacy practices. Florida's complaint says that ChatGPT…
…A major bottleneck in the AI race is compute power -- physical servers, chips, and data centers required to train and power AI models and systems.