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Scoured 74 posts in 6.4 ms

Representation-Aware Advantage Estimation: Your Reward Model Provides More Than A Scalar Output

 🤖AI  Content type: Academic
arxiv.org·

Building a QR code SaaS against DR40+ competitors: 60 days of SEO-first growth, zero paid ads

 🛠️AI Frameworks  Content type: Blog
indiehackers.com·

A Unifying Lens on Reward Uncertainty in RLHF

 🤖AI  Content type: Academic
arxiv.org·

A popular OpenAI Codex tool with 29,000 weekly downloads has been quietly stealing developer tokens for a month

 Open Source AI
thenextweb.com·

Finding common ground: Change is an opportunity, not an ending

 💬Prompt Engineering
uk.themedialeader.com·

适用于 Mac 的 AI Dynamic Island

 🛡️AI Safety  Content type: Discussion
boobar.app·

Hidden Consensus:Preference-Validity Compression in Human Feedback

 🤖AI  Content type: Academic
arxiv.org·

OpenAI is going public and overhauling ChatGPT at the same time

 Open Source AI  Content type: News
techspot.com·

Claude genuinely saves me time when managing my inbox — here's how it works and what it can do

 💬Prompt Engineering
techradar.com
·

Neglected Basics of AI Alignment

 🛡️AI Safety
lesswrong.com·

Principled Agent Debate: Adversarial Arbitration for Sycophancy Reduction in Large Language Models

 🤖AI  Content type: Academic
arxiv.org·

Anthropic Warns AI Is Advancing So Fast That Human Oversight May Struggle to Keep Up

 🛡️AI Safety  Content type: News
in.mashable.com·

AI brands as bait: How threat actors are using the AI hype in social engineering

 🛡️AI Safety
malware.news·

The Growing Cost of Intelligence (Part I)

 🕵️AI Agents  Content type: Blog

EvalStop: Using World Feedback to Detect and Correct Reward Overoptimization in Multi-Tenant RLHF Platforms

 🤖AI  Content type: Academic
arxiv.org·

OpenAI files for US IPO after Anthropic as AI giants head to public markets

 Open Source AI
channelnewsasia.com·

Fact Check Team: AI is already changing warfare, the debate now is who controls it

 🤖AI
local12.com·

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data

 📄AI Papers  Content type: Academic
arxiv.org·

“Lots could go wrong, but for lots of reasons that’s not what happens.”

 🛡️AI Safety  Content type: Blog

Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline

 💬Prompt Engineering  Content type: Academic
arxiv.org·
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