Sapiens: Insurance Technology Out Of Israel With Appeal At $26.50
seekingalpha.com·16h
🚀Startups
Multi-Modal AI In EDA Development Flows
semiengineering.com·3h
🪄Prompt Engineering
A study across China, Germany, India, & the UK shows public support for carbon taxes depends on how they're designed & explained
nature.com·5h
🌍Climate
The Weight of Our Belongings
valour.bearblog.dev·9h
📑Inverted Indexes
Ollama's new app
simonwillison.net·9h
🤖AI
As AI knows more, humans know less: The inevitable cost of convenience culture
thehill.com·17h
🆕New AI
Compromised Donor Emails: A post-mortem
pi-hole.net·10h·
Discuss: Hacker News
🧹Spam Filters
Defining Observability for the AI Era, with $156M Series C Funding
observeinc.com·15h·
Discuss: Hacker News
💾Persistence Strategies
Mark Zuckerberg promises you can trust him with superintelligent AI
theverge.com·19h·
Discuss: r/technews
🆕New AI
RIP Amazon QLDB
news.alvaroduran.com·56m·
Discuss: Hacker News
🌳Data Structures
The Hidden Infrastructure Costs of Enterprise AI Adoption
vktr.com·4h·
Discuss: Hacker News
🏗️Infrastructure Economics
Riding the Wave: OTel Experts Share Observability Tips
thenewstack.io·18h
🔓Open Source Software
Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis
arxiv.org·6h
🌐Distributed systems
Language Arithmetics: Towards Systematic Language Neuron Identification and Manipulation
arxiv.org·6h
💻Programming languages
Exploiting Synergistic Cognitive Biases to Bypass Safety in LLMs
arxiv.org·6h
🛡️AI Security
Kimi K2 vs Claude 4 Sonnet - Unexpected Review Result (400k token Codebase)
reddit.com·11h·
Discuss: r/LocalLLaMA
✏️Code Editors
LLMs Will Sacrifice Their Goals to Avoid Discomfort: Experimental Evidence
lesswrong.com·10h
🏆LLM Benchmarking
Mark Zuckerberg Details Meta’s Plan for Self-Improving, Superintelligent AI
wired.com·10h
🆕New AI
Towards Interpretable Renal Health Decline Forecasting via Multi-LMM Collaborative Reasoning Framework
arxiv.org·6h
🏆LLM Benchmarking
TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction
arxiv.org·6h
🧠LLM Inference