21 Brands That Are Quietly Revolutionizing Outdoor Gear and Fashion
carryology.com·1h
📡RSS
Freeport-McMoRan: Why I Was Not Impressed With Q2 Results
seekingalpha.com·18h
🔍BitFunnel
More Women Than Expected Are Genetically Men
novonordiskfonden.dk·11h·
Discuss: Hacker News
🧬Copy Number Variants
In the Search for Beauty: Smilga on the Origins of Non-Euclidean Geometry (1970)
mirtitles.org·12h·
Discuss: Hacker News
📐Mathematical Art
A change in the Southern Ocean structure can have climate implications
icm.csic.es·1d·
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🧊Arctic Storage
OpenAI's ChatGPT Agent Casually Clicks Through 'I Am Not a Robot' Verification Test
slashdot.org·5h
🏺Kerberos Archaeology
Understanding why deterministic output from LLMs is nearly impossible
unstract.com·11h·
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🎯Performance Proofs
Houthis Vow to Step Up Shipping Attacks to Press Israel on Gaza
bloomberg.com·1d
🎫Kerberos Attacks
Varginha UFO Incident
en.wikipedia.org·3d·
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🌐WARC Forensics
Ask HN: Is HN flooded with AI-propaganda bots?
news.ycombinator.com·16h·
Discuss: Hacker News
⚡Proof Automation
NATO's flying radar is an old plane, but E-3 crews say it's still a mission workhorse
businessinsider.com·11h
🇷🇺Russian Computing
Sen. Hassan wants to hear from SpaceX about scammers abusing Starlink
cyberscoop.com·12h
🎫Kerberos Attacks
Gemini Agent mode first impressions
markjgsmith.com·2d
🖥️Terminal Renaissance
If you ask ChatGPT why your energy bill is higher, it should probably blame itself
techradar.com·9h
🖥️Terminal Renaissance
New tool maps tumor cell history and location to reveal growth patterns
phys.org·3d
📄Document Digitization
Ukraine war briefing: Zelenskyy praises Trump for trimming Putin deadline by about 25 days
theguardian.com·1h
🇷🇺Russian Computing
Choosing Public Datasets for Private Machine Learning via Gradient Subspace Distance
arxiv.org·3d
🧠Machine Learning
The Algorithmic con: Is Our AI-Powered World Becoming The Matrix?
hackernoon.com·3d
🧲Magnetic Philosophy
GhostUMAP2: Measuring and Analyzing (r,d)-Stability of UMAP
arxiv.org·4d
🌀Differential Geometry
HeartUnloadNet: A Weakly-Supervised Cycle-Consistent Graph Network for Predicting Unloaded Cardiac Geometry from Diastolic States
arxiv.org·23h
🌀Riemannian Computing