2025-05-28
New US Navy SSN(X) Submarine Capable of Crippling Enemy Fleets Will Be Delayed
Key Points – The US Navy’s next-generation SSN(X) attack submarine, envisioned as an “apex predator” combining the Seawolf’s speed and payload with Virginia’s stealth and Columbia’s longevity, faces significant delays....
You can play Doom in this NY Times article about how you...
You can play Doom in this NY Times article about how you can run Doom almost anywhere (in a PDF, on an iPod, on a pregnancy test, on a treadmill,...
Canada’s Aircraft Carriers Now Belong to the History Books
Key Points – Canada, once possessing the world’s third-largest navy during World War II, operated aircraft carriers as part of its post-war NATO and Commonwealth commitments. -Its last carrier, HMCS...
The U.S. Air Force Isn’t’ Ready for What’s Coming from China
Key Points – A new US Air Force report, “The Department of the Air Force in 2050,” outlines a future where the US homeland and forward airbases are no longer...
Inside the Discord Community Developing Its Own Hair Loss Drugs
HairDAO is a “decentralized autonomous organization” trying to cure hair loss.
You'll Spit Take When You Hear How Little Time Workers Are Saving With AI, According to This Huge New Study
The use of AI chatbots has exploded in the workplace. White-collar workers have adopted the tech in huge numbers. Executives are looking for every opportunity to shoehorn AI into every...
Australia Has A Virginia-Class Submarine Problem It Never Saw Coming
Key Points – Australia can significantly strengthen its case for acquiring US Virginia-class submarines under the AUKUS pact by accelerating the construction of its planned Henderson shipyard in Western Australia...
Podcast: ICE's 'Backdoor' Into a Nationwide AI Surveillance Network
How ICE is accessing data from Flock cameras; a new invasive surveillance product; and the radical changes made at AI platform Civitai.
Fine-tuned GPT-3.5 Performance for Explanatory Feedback
Explore scVI and LDVAE, two prominent variational autoencoder-based models for scRNA-seq dimensionality reduction, highlighting their approaches to count data, batch effects, and library size.
Discord asks users to ponder its Orbs, an earnable currency you can use to buy Nitro
Orbs are earned by completing quests, which typically means watching ads.
How Self-Aware Are LLMs?
Published on May 28, 2025 12:57 PM GMTAn interim research reportSummaryWe introduce a novel methodology for quantitatively evaluating metacognitive abilities in LLMsWe present evidence that some frontier LLMs introduced since...
Can We Hack Hedonic Treadmills?
Published on May 28, 2025 11:42 AM GMTDuring a visit to a Hong Kong children’s welfare home, I met a 12-year-old girl I'll call Kylie. She had suffered a severe...
Forgotten Fact: Australia Had Aircraft Carriers Until 1982 (China Bought the Last One)
Key Points – HMAS Melbourne, Australia’s last conventional aircraft carrier (serving 1955-1982), had a notably troubled operational history, marked by never firing a shot in actual combat despite involvement in...
Cut Security Costs by Building It Into Your Software from Day One
Security shouldn’t be an afterthought—start early, align with security teams, automate repetitive tasks, and communicate clearly to cut costs, avoid rework, and build secure software efficiently.
GPT Prompting Performance: Explanatory Feedback for Tutor Praise
We evaluate GPT-3.5 and GPT-4's performance in identifying praise components via prompting, revealing M-IoU scores and human satisfaction levels for automated feedback.
The latest Fantasy Life sold over half a million copies only three days after launch, so maybe they finally made a good one
Everyone seems keen to start anew.
Modified Intersection over Union (M-IoU) for Sequence Labeling Evaluation
We introduce M-IoU, a novel metric for sequence labeling tasks, designed to flexibly evaluate model performance by accounting for additional identified praise tokens in explanatory feedback.
GPT Models for Sequence Labeling: Prompt Engineering & Fine-tuning
Explore how our study utilizes prompt engineering and fine-tuning strategies to adapt GPT-3.5 and GPT-4 models for identifying praise components in tutor responses via sequence labeling.
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