A.I. Is Mastering Language. Should We Trust What It Says? The New York Times: “OpenAI’s GPT-3 and other neural nets can now write original prose with mind-boggling fluency — a development that could have profound implications for the future…GPT-3 belongs to a category of deep learning known as a large language model, a complex neural net that has been trained on a titanic data set of text: in GPT-3’s case, roughly 700 gigabytes of data drawn from across the web, including Wikipedia, supplemented with a large collection of text from digitized books. GPT-3 is the most celebrated of the large language models, and the most publicly available, but Google, Meta (formerly known as Facebook) and DeepMind have all developed their own L.L.M.s in recent years. Advances in computational power — and new mathematical techniques — have enabled L.L.M.s of GPT-3’s vintage to ingest far larger data sets than their predecessors, and employ much deeper layers of artificial neurons for their training…”
See also Fast Company: OpenAI’s DALL-E AI is becoming a scary-good graphic artist – “DALL-E 2, a new text-to-image AI model, can make images based on either language or image input.”
Real KM – “As knowledge managers, should we limit the amount of information that sensors can collect? We must first understand and define what a sensor is:
- A device, which detects or measures a physical property and records, indicates, or otherwise responds to it.
- A device, module, machine, or subsystem whose purpose is to detect events or changes in its environment and send the information to other electronics.
- People being exposed to information that would be of significant value if collected, processed, and integrated into a common operating picture; hence, the concept of Every Soldier is a Sensor…
- …By understanding metadata we can see why the information is collected quickly. Metadata standards are intended to establish a common understanding of the meaning or semantics of the data, to ensure correct and proper use and interpretation of the data by its owners and users. Different types are technical, business, descriptive, and operational…”
Redditle.com SK Lim: ” I built redditle.com for those of us who append “reddit” to our Google searches. Reddit search isn’t great but it’s improving! In the meantime, some of us still use Google to search Reddit, hence https://redditle.com.
Or for some of us, because Google’s results are increasingly filled with clickbait, “reddit” has been a cheatcode to navigate that. Redditle is for you too! Is it the same as Googling “site:reddit.com”? Yes kinda 😀 Redditle also supports searching in a specific subreddit with “r/” e.g. “r/webdev vue guide” would search in r/webdev. There’s also a little checkbox to toggle the links between old and new Reddit modes.”
Cellist Performs an Eight-Part Cover of the ‘Psycho’ Theme While Dressed as Norman Bates’ MotherLaughing Squid
Cellist Performs an Eight-Part Cover of the ‘Psycho’ Theme While Dressed as Norman Bates’ MotherLaughing Squid
Densely Arranged Stone Gradients Sweep Across the Sand in Jon Foreman’s Extraordinary Land ArtThis Colossal
The Museum of Endangered Technology Sounds
The Wages Of Information
18,000 Years Ago, The ‘Zealandia Switch’ Decimated Earth’s Glaciers. Has It Returned?
Japan researchers create online maps with satellite images to expose damage in Ukraine - The Mainichi: “A research team led by a University of Tokyo professor has created digital maps utilizing satellite images and other photos to show the reality of damaged areas in Ukraine amid the Russian invasion. Hidenori Watanave, information design professor at the University of Tokyo’s graduate school, said that by updating latest information online, internet users can observe the movements of troops coming in from Russia, as well as the state of the expanding destruction in eastern Ukraine following large-scale battles. A satellite image taken on April 9 showed an airport in the western Ukrainian city of Voronezh, located 270 kilometers from the major city Kharkiv, which is in the country’s northeast. The photo showed dozens of military aircraft lined up. In another satellite image taken around the same time, a row of vehicles seemingly belonging to Russian troops could be seen stretching for over 10 kilometers on a main road in eastern Ukraine. Both images were uploaded online by a private satellite company. Together with Aoyama Gakuin University professor Taichi Furuhashi, Watanave identified the locations of the photos and revealed satellite imagery of these places via Google Earth. He commented, “You can actually tell (from the maps) that Russia is making arrangements within and outside the country to prepare for large-scale offensives in eastern Ukraine. This is learned not from statements of government authorities, but through the facts captured in the satellite images.” The team used satellite images revealed by NASA to show the state of Mariupol in Ukraine’s southeast, which was hit in violent attacks. By combining satellite imagery with red markings that indicated heat detected from the ground, the team was apparently able to indicate the range of areas where fires occurred in the month through April 3. A wide range of urban areas are marked red, including a theater in the city center where, according to local authorities, at least 300 people were killed in a Russian bombing…”
- The research team’s website can be reached at https://cesium.com/ion/stories/viewer/?id=8be6f99c-0d4c-46ce-91a3-313e3cac62fe
