Testimony and several reports have exposed unidentified flying object (UFO) sightings across the country amid the national attention on apparent drone observations over recent weeks. Luiz Elizondo, the former head of the Defense Department's Advanced Aerospace Threat Identification Program, and other witnesses testified before Congress last month about an alleged government group "hid[ing] the fact that we are not alone in the cosmos." "I believe that we as Americans can handle the truth. And I also believe the world deserves the truth," Elizondo said, urging Congress to enact legislation protecting whistleblowers too afraid to come forward. This UFO was photographed when it hovered for 15 minutes near the Holloman Air Development Center in Alamogordo, N.M., on Dec. 16, 1957. The hearing was part of a larger effort by lawmakers to investigate UFOs, or unidentified aerial phenomenon (UAPs), and determine whether elements within the government are unlawfully withholding evidence from Congress.

Radio remains a pervasive medium for mass information dissemination, with AM/FM stations reaching more Americans than either smartphone-based social networking or live television. Increasingly, radio broadcasts are also streamed online and accessed over the Internet. We present WavePulse, a framework that records, documents, and analyzes radio content in real-time. While our framework is generally applicable, we showcase the efficacy of WavePulse in a collaborative project with a team of political scientists focusing on the 2024 Presidential Elections. We use WavePulse to monitor livestreams of 396 news radio stations over a period of three months, processing close to 500,000 hours of audio streams. These streams were converted into time-stamped, diarized transcripts and analyzed to track answer key political science questions at both the national and state levels. Our analysis revealed how local issues interacted with national trends, providing insights into information flow. Our results demonstrate WavePulse's efficacy in capturing and analyzing content from radio livestreams sourced from the Web. Code and dataset can be accessed at \url{https://wave-pulse.io}.

Orca 1 learns from rich signals, such as explanation traces, allowing it to outperform conventional instruction-tuned models on benchmarks like BigBench Hard and AGIEval. In Orca 2, we continue exploring how improved training signals can enhance smaller LMs' reasoning abilities. Research on training small LMs has often relied on imitation learning to replicate the output of more capable models. We contend that excessive emphasis on imitation may restrict the potential of smaller models. We seek to teach small LMs to employ different solution strategies for different tasks, potentially different from the one used by the larger model. For example, while larger models might provide a direct answer to a complex task, smaller models may not have the same capacity. In Orca 2, we teach the model various reasoning techniques (step-by-step, recall then generate, recall-reason-generate, direct answer, etc.). More crucially, we aim to help the model learn to determine the most effective solution strategy for each task. We evaluate Orca 2 using a comprehensive set of 15 diverse benchmarks (corresponding to approximately 100 tasks and over 36,000 unique prompts). Orca 2 significantly surpasses models of similar size and attains performance levels similar or better to those of models 5-10x larger, as assessed on complex tasks that test advanced reasoning abilities in zero-shot settings. make Orca 2 weights publicly available at aka.ms/orca-lm to support research on the development, evaluation, and alignment of smaller LMs

The world's first recorded case of an autonomous drone attacking humans took place in March 2020, according to a United Nations (UN) security report detailing the ongoing Second Libyan Civil War. Libyan forces used the Turkish-made drones to "hunt down" and jam retreating enemy forces, preventing them from using their own drones. The field report (via New Scientist) describes how the Haftar Affiliated Forces (HAF), loyal to Libyan Field Marshal Khalifa Haftar, came under attack by drones from the rival Government of National Accord (GNA) forces. After a successful drive against HAF forces, the GNA launched drone attacks to press its advantage. The report says Turkey supplied the drones to Libyan forces, which is a violation of a UN arms embargo slapped on combatants in the conflict.

Using both primary and secondary sources, I discuss the role of espionage in early nuclear history. Nuclear weapons are analogous to AI in many ways, so this period may hold lessons for AI governance. Nuclear spies successfully transferred information about the plutonium implosion bomb design and the enrichment of fissile material. Spies were mostly ideologically motivated. Counterintelligence was hampered by its fragmentation across multiple agencies and its inability to be choosy about talent used on the most important military research program in the largest war in human history. Nuclear espionage most likely sped up Soviet nuclear weapons development, but the Soviet Union would have been capable of developing nuclear weapons within a few years without spying. The slight gain in speed due to spying may nevertheless have been strategically significant. Acknowledgements: I am grateful to Matthew Gentzel for supervising this project and Michael Aird, Christina Barta, Daniel Filan, Aaron Gertler, Sidney Hough, Nat Kozak, Jeffery Ohl, and Waqar Zaidi for providing comments. This research was supported by a fellowship from the Stanford Existential Risks Initiative. This post is a short version of the report, x-posted from EA Forum. The full version with additional sections, an appendix, and a bibliography, is available here. The early history of nuclear weapons is in many ways similar to hypothesized future strategic situations involving advanced artificial intelligence (Zaidi and Dafoe 2021, 4). And, in addition to the objective similarity of the situations, the situations may be made more similar by deliberate imitation of the Manhattan Project experience (see this report to the US House Armed Service Committee).

In 1983, millions of unsold cartridges of the Atari game ET The Extra Terrestrial were secretly buried in a concrete-covered landfill in Alamogordo, New Mexico. Thanks to extremely rushed development and alleged interference from Universal Pictures, the movie tie-in was one of the worst video games ever made, and a mass grave was the only option for the poor, unwanted cartridges. Unfortunately, like movies adapted from games, games adapted from movies are often bad. Historically, this has not been the result of too much interference from the movie studios that own the licences, but too little. Promising pop-culture properties such as Transformers, Robocop and Harry Potter have often been farmed out to contracted development studios that are then given far too little time to make anything half decent. The forthcoming Star Wars Jedi: Fallen Order, however, has better prospects than most.

File photo: The first recovered Atari cartridge and packaging recovered from the old Alamogordo landfill are shown in Alamogordo, New Mexico, April 26, 2014. Some of the best video games ever were made ages ago. Super Metroid, Planescape: Torment, Deus Ex, and hundreds of other amazing games were produced for platforms that don't really exist anymore. They were made for systems that used cartridges and PCs that ran Windows 95. Some have aged well and some haven't, but they've all made their mark on video game history. Unfortunately, you can't easily play them in their original forms on current systems.

Every gamer has a tale of the worst game they ever played. It may have been the utterly catastrophic sequel to a much-loved classic, a rushed tie-in with a favourite movie, or an experimental new release from a favourite studio. But we've all had that moment of excitedly unwrapping the box, shoving the disc (or cartridge) into the machine and then ... then comes the horrific realisation that you have wasted £45 on the interactive equivalent of a late-career M. Night Shyamalan movie. To create this list, four veteran game writers gathered together to relive our own experiences of this gut-wrenching phenomenon. As hundreds of games are released every year, there are certainly thousands of unmitigated digital disasters that very few people have had to suffer because they sank faster than a pair of solid-iron water wings.