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Scoured 130 posts in 29.5 ms

Signed Dual Attention: Capturing Signed Dependencies in Time Series Forecasting

 💬NLP  Content type: Academic
arxiv.org·

Built and launched a research-reading and highlighting tool with Claude over a few months. Here are the things AI was surprisingly good (and bad) at.

 🤖LLM
highlyt.app··r/ClaudeAI

This is a super exciting release - Claude Fable 5 is the same underlying model as Mythos but with added safeguards. The benchmarks are great and it's SOTA on ev...

 🐦Swift
twitter.macworks.dev·

Measuring Embedding Drift: Why Hybrid Search Saves Stale Models.

 🤖LLM
pub.towardsai.net
·

Sony, SBI, and a Yen Stablecoin: How Startale Embedded Itself Inside Corporate Japan

 🔌Embedded Systems
hackernoon.com·

Apple rebuilt its on-device AI stack at WWDC 2026

 🍎Apple  Content type: Blog
ziraph.com··Hacker News

Show HN: Hive Trust – Ed25519-signed benchmarks for every AI inference primitive

 🤖LLM

Multimedia Building Blocks

 💬NLP  Content type: Blog
huggingface.co·

You don't need Copilot for code completion, try this instead

 🤖LLM

Ask HN: What happens when humans become as dumb as AI?

 🕵️AI Agents  Content type: Discussion

vishal-dehurdle/state-harness: Runtime safety net for LLM agents. Detects token spirals, kills doomed tasks early, tells you exactly why. Rust core, Python SDK. pip install state-harness

 🤖LLM  Content type: Code
github.com··Hacker News

From Spikes to Insights: Mastering CGM Glucose Prediction with Transformers and PyTorch

 📊Data Science  Content type: Blog
dev.to··DEV

Learning Fuzzy Logic: Automatic Rule Discovery Through Differentiable Circuits

 💬NLP
metafunctor.com··DEV

IPSM-Bench: A New Intermediate Phase Segmentation Benchmark in Microstructure Images of Zinc-Based Absorbable Biomaterials

 👁️Computer Vision  Content type: Academic
arxiv.org·

I tested GPT-5.5 vs Opus 4.8 on agentic terminal coding (Terminal-Bench 2.1)

 🤖LLM
composio.dev··r/ClaudeAI

Founding Engineer - FPGA, RTL, & ASIC Architect at Zettascale

 🔌Embedded Systems

When Vision Misleads, Let Location Speak: A Worldwide Image Geo-Localization Method via Location Attention Mechanism and Large Multimodal Models

 💬NLP  Content type: Academic
arxiv.org·

Field Notes From The AI Battlefield

 🤖LLM
taoofmac.com··Hacker News

How to Choose the Right AI Model for Your Needs

 🤖LLM  Content type: Blog
analyticsvidhya.com·

pTNAS: Progressive Neural Architecture Search for Tabular Data

 🕸️Graph Algorithms  Content type: Academic
arxiv.org·

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