Blue Origin will make history when it sends the first person who uses a wheelchair past the Kármán line, an internationally recognized boundary of space that’s 62 miles above Earth.
On its next mission, a Blue Origin New Shepard rocket will take Michaela “Michi” Benthaus, an aerospace and mechatronics engineer who suffered a spinal cord injury after a mountain biking accident, along with five others, on a journey past the Kármán line. New Shepard rockets are fully reusable spacecraft that Blue Origin says require less maintenance between flights, saving money and reducing waste.
The NS-37 mission will be the 16th human flight for Blue Origin, which has taken 86 people — 80 individuals — above the Kármán line.
A University of Cambridge philosopher argues that our evidence for what constitutes consciousness is far too limited to tell if or when artificial intelligence has made the leap—and a valid test for doing so will remain out of reach for the foreseeable future.
As artificial consciousness shifts from the realm of sci-fi to become a pressing ethical issue, Dr. Tom McClelland says the only “justifiable stance” is agnosticism: we simply won’t be able to tell, and this will not change for a long time—if ever.
While issues of AI rights are typically linked to consciousness, McClelland argues that consciousness alone is not enough to make AI matter ethically. What matters is a particular type of consciousness—known as sentience—which includes positive and negative feelings.
Eating more high-fat cheese and high-fat cream may be linked to a lower risk of developing dementia, according to a new study published in Neurology. This study does not prove that eating high-fat cheese and high-fat cream lowers the risk of dementia, it only shows an association.
High-fat cheeses contain more than 20% fat and include varieties such as cheddar, Brie and Gouda. High-fat creams typically contain 30–40% fat and include whipping cream, double cream and clotted cream. These are commonly labeled as “full-fat” or “regular” versions in stores.
“For decades, the debate over high-fat versus low-fat diets has shaped health advice, sometimes even categorizing cheese as an unhealthy food to limit,” said Emily Sonestedt, Ph.D., of Lund University, Sweden.
Quiet quitting isn’t just for burned out employees. Atoms carrying information inside quantum computers, known as qubits, sometimes vanish silently from their posts. This problematic phenomenon, called atom loss, corrupts data and spoils calculations.
But Sandia National Laboratories and the University of New Mexico have for the first time demonstrated a practical way to detect these “leakage errors” for neutral atom platforms. This achievement removes a major roadblock for one branch of quantum computing, bringing scientists closer to realizing the technology’s full potential. Many experts believe quantum computers will help reveal truths about the universe that are impossible to glean with current technology.
“We can now detect the loss of an atom without disturbing its quantum state,” said Yuan-Yu Jau, Sandia atomic physicist and principal investigator of the experiment team.
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Star Trek brought us so much scifi tech that we have been waiting to see come to life and one of the biggest dreams of all is teleportation! To boldly go… to the other side of the world without an 18 hour flight!
This is the second episode in a series about Scifi Tech we’ll never have…soz!
Today we’ll talk about matter vs information, how quantum teleportation actually works, how much information a human body contains, how we would measure that information and transfer it and ultimately, that it all comes down to an identity crisis.
Chapters:
00:00 Introduction.
02:32 For the love of scifi.
07:20 Quantum information.
11:46 Quantum teleportation.
16:19 The human factor.
20:20 Heisenberg compensators.
22:13 The measurement destruction problem.
24:15 The timing problem.
25:53 The data problem.
30:58 The unavoidable energy cost.
33:11 The identity question.
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Things to read — papers are all open access versions:
We introduce NitroGen, a vision-action foundation model for generalist gaming agents that is trained on 40,000 hours of gameplay videos across more than 1,000 games. We incorporate three key ingredients: 1) an internet-scale video-action dataset constructed by automatically extracting player actions from publicly available gameplay videos, 2) a multi-game benchmark environment that can measure cross-game generalization, and 3) a unified vision-action policy trained with large-scale behavior cloning. NitroGen exhibits strong competence across diverse domains, including combat encounters in 3D action games, high-precision control in 2D platformers, and exploration in procedurally generated worlds. It transfers effectively to unseen games, achieving up to 52% relative improvement in task success rates over models trained from scratch.