August 2019 was slowest month on record F5 researchers have seen in new threat activity. But while active exploitation slowed, new reconnaissance campaigns grew.
August 2019 was slowest month on record F5 researchers have seen in new threat activity. But while active exploitation slowed, new reconnaissance campaigns grew.
August 2019 was slowest month on record F5 researchers have seen in new threat activity. But while active exploitation slowed, new reconnaissance campaigns grew.
We’ve fine-tuned the 774M parameter GPT-2 language model using human feedback for various tasks, successfully matching the preferences of the external human labelers, though those preferences did not always match our own. Specifically, for summarization tasks the labelers preferred sentences copied wholesale from the input (we’d only asked them to ensure accuracy), so our models learned to copy. Summarization required 60k human labels; simpler tasks which continue text in various styles required only 5k. Our motivation is to move safety techniques closer to the general task of “machines talking to humans,” which we believe is key to extracting information about human values.
Additional research and support provided by Chad Seaman. Introduction Members of Akamai's Security Intelligence Response Team have been investigating a new DDoS vector that leverages a UDP Amplification technique known as WS-Discovery (WSD). The situation surrounding WSD was recently made...
We’ve observed agents discovering progressively more complex tool use while playing a simple game of hide-and-seek. Through training in our new simulated hide-and-seek environment, agents build a series of six distinct strategies and counterstrategies, some of which we did not know our environment supported. The self-supervised emergent complexity in this simple environment further suggests that multi-agent co-adaptation may one day produce extremely complex and intelligent behavior.