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"‘Shark Skin’ Coating for Airliners May Cut Fuel Use by 4% – Delta is Testing on its 767 Fleet"
#Aviation #Aeroplanes

‘Shark Skin’ Coating for Airliners May Cut Fuel Use by 4% – Delta is Testing on its 767 Fleet
An Australian startup has developed an adhesive film inspired by shark skin that reduces drag on aircraft and could cut fuel use by 4%.

On the off chance that the U.S. Government removes it from the web, this is the March 25, 2025 testimony of the U.S. Director of National Intelligence Tulsi Gabbard that Iran is _not_ currently developing nuclear weapons and it is at least 2 to 3 years from having a bomb ("breakout").
source:

Large Language Models for Unit Testing: A Systematic Literature Review
Quanjun Zhang, Chunrong Fang, Siqi Gu, Ye Shang, Zhenyu Chen, Liang Xiao
https://arxiv.org/abs/2506.15227

Large Language Models for Unit Testing: A Systematic Literature Review
Unit testing is a fundamental practice in modern software engineering, with the aim of ensuring the correctness, maintainability, and reliability of individual software components. Very recently, with the advances in Large Language Models (LLMs), a rapidly growing body of research has leveraged LLMs to automate various unit testing tasks, demonstrating remarkable performance and significantly reducing manual effort. However, due to ongoing explorations in the LLM-based unit testing field, it is…

Waymo applied for a NYC permit to test its cars with safety drivers and plans to start collecting mapping data with manually driven cars in Manhattan in July (Andrew J. Hawkins/The Verge)
https://www.theverge.com/news/689093/waymo-nyc-permit…

Waymo’s robotaxis are coming back to New York City
Waymo applied for a permit to test autonomous vehicles with safety drivers in New York City. And it hopes it can change the state law to allow it to operate fully driverless.

Hypothesis Testing for Quantifying LLM-Human Misalignment in Multiple Choice Settings
Harbin Hong, Sebastian Caldas, Liu Leqi
https://arxiv.org/abs/2506.14997

Hypothesis Testing for Quantifying LLM-Human Misalignment in Multiple Choice Settings
As Large Language Models (LLMs) increasingly appear in social science research (e.g., economics and marketing), it becomes crucial to assess how well these models replicate human behavior. In this work, using hypothesis testing, we present a quantitative framework to assess the misalignment between LLM-simulated and actual human behaviors in multiple-choice survey settings. This framework allows us to determine in a principled way whether a specific language model can effectively simulate human…

After nuclear weapons testing began in 1945, atmospheric radiation contaminated new steel production worldwide.
For decades, scientists needing radiation-free metal for sensitive instruments had to salvage steel from pre-war shipwrecks.
Scientists called this steel
"low-background steel."
Graham-Cumming sees a parallel with today's web, where AI-generated content increasingly mingles with human-created material and contaminates it.
With the advent o…

Scientists once hoarded pre-nuclear steel; now we’re hoarding pre-AI content
Newly announced catalog collects pre-2022 sources untouched by ChatGPT and AI contamination.

Getting the Windows dev box set up for scopehal testing.
The most important step...

Ahh .. Eindelijk eens mn 5G verbinding over de zeik geholpen...
Wat met video em downloaden niet solo goed lukt, gaat uitstekend met video streamen tijdens het inrichten van nextcloud.. 😎😎
(Uploaden gaat via een heel dun 'draadje')

Navigating the growing field of research on AI for software testing -- the taxonomy for AI-augmented software testing and an ontology-driven literature survey
Ina K. Schieferdecker
https://arxiv.org/abs/2506.14640

Navigating the growing field of research on AI for software testing -- the taxonomy for AI-augmented software testing and an ontology-driven literature survey
In industry, software testing is the primary method to verify and validate the functionality, performance, security, usability, and so on, of software-based systems. Test automation has gained increasing attention in industry over the last decade, following decades of intense research into test automation and model-based testing. However, designing, developing, maintaining and evolving test automation is a considerable effort. Meanwhile, AI's breakthroughs in many engineering fields are opening…

OpenAI warns that its upcoming models could pose a higher risk of enabling the creation of biological weapons and says it is stepping up testing of such models (Ina Fried/Axios)
https://www.axios.com/2025/06/18/openai-bioweapons-risk

OpenAI warns models with higher bioweapons risk are imminent
Preventing harm means both the company, and society at large, need to be prepared.