
The Daily Gauss
AI Advances: Smarter, Efficient, and Predictive
Abstract
- M1.9 earthquake: M 1.9 — 10 km S of Volcano, Hawaii
- M0.7 earthquake: M 0.7 — 12 km E of Coso Junction, CA
- M2.4 earthquake: M 2.4 — 5 km SSW of Packwood, Washington
- M1.9 earthquake: M 1.9 — 32 km W of Petersville, Alaska
- WordPress plugin quirk resulted in UK Gov OBR Budget leak [pdf]
- Why xor eax, eax?
- Cartographers Have Been Hiding Covert Illustrations Inside of Switzerland's Maps
- Self-hosting a Matrix server for 5 years
- BTC market update
- ETH market update
- SOL market update
- SUI market update
USGS Earthquakes
Latest earthquake events from USGS
M 1.9 — 10 km S of Volcano, Hawaii
Depth 34.9199981689453 km
Mag 1.934.9 km19.351, -155.245
Dec 01 2025, 10:57 AM ET· 1067h ago
M 0.7 — 12 km E of Coso Junction, CA
Depth 1.6 km
Mag 0.71.6 km36.032, -117.814
Dec 01 2025, 10:57 AM ET· 1067h ago
M 2.4 — 5 km SSW of Packwood, Washington
Depth 8.34 km
Mag 2.48.3 km46.564, -121.712
Dec 01 2025, 10:56 AM ET· 1067h ago
M 1.9 — 32 km W of Petersville, Alaska
Depth 80.91064453125 km
Mag 1.980.9 km62.528, -151.391
Dec 01 2025, 10:30 AM ET· 1067h ago
Hacker News
Top stories on Hacker News
WordPress plugin quirk resulted in UK Gov OBR Budget leak [pdf]
60 points • 39 comments
60 points39 comments
Dec 01 2025, 10:00 AM ET· 1068h ago
Why xor eax, eax?
227 points • 79 comments
227 points79 comments
Dec 01 2025, 07:22 AM ET· 1070h ago
Cartographers Have Been Hiding Covert Illustrations Inside of Switzerland's Maps
78 points • 12 comments
78 points12 comments
Dec 01 2025, 08:41 AM ET· 1069h ago
Self-hosting a Matrix server for 5 years
154 points • 61 comments
154 points61 comments
Dec 01 2025, 06:26 AM ET· 1071h ago
CoinGecko Prices
Latest updates extracted from source
NASA NEO
Near-Earth Objects today
Finnhub Market Data
Stock market quotes
AlphaVantage
Stock market data
Conclusion
<strong>We've cracked the code on AI’s horizon!</strong> 🧠💡 This week, we dove into the magic of efficient reasoning in LLMs, unveiling how they can grow smarter through interaction and self-training. We also took a peek into the future of weather forecasting with LLMs, making predictions not just possible but explainable! 🌦️ And don't miss our fresh insights on efficiency versus inference costs, keeping your AI aspirations grounded. So gear up for a world where tech not only learns but anticipates your needs! 🌍💥<br>• Efficient reasoning strategies<br>• Continuous growth methods<br>• Weather forecasting innovations
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Named after Carl Friedrich Gauss • Mathematician • Physicist • Polymath
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