TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @githubtrending · Post #15314 · Dec 6

#python#brain_inspired_ai#deep_learning#large_language_models#reasoning The Hierarchical Reasoning Model (HRM) is a new type of AI that reasons more like a human brain, using a fast part for quick details and a slow part for big-picture planning. It solves hard logic tasks like Sudoku, mazes, and IQ-style puzzles very well, even though it is tiny (only 27 million parameters) and learns from very little data (just 1,000 examples). Unlike most large language models, it does not need long chains of written reasoning steps or huge amounts of training, which makes it much faster, cheaper, and more efficient. For the user, this means powerful reasoning in a small, fast system that can run on ordinary hardware and still beat much larger models on tough problems. https://github.com/sapientinc/HRM

Results

1 similar post found

Search: #notificationlogs

当前筛选 #notificationlogs清除筛选
Crypto M - Crypto News

@CryptoM · Post #65190 · 04/11/2026, 06:14 PM

🚀 Pavel Durov Highlights Privacy Risks of Push Notifications Pavel Durov has raised concerns about the privacy implications of push notifications. According to NS3.AI, Durov pointed out that message data can persist in notification logs, posing a privacy risk even after messages or apps are deleted. He referenced a report by 404 Media, which revealed that the FBI was able to retrieve deleted Signal messages from an Apple iPhone by accessing these notification logs. #PavelDurov#Privacy#PushNotifications#DataSecurity#Signal#iPhone#FBI#DigitalPrivacy#NotificationLogs#CyberSecurity