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🔒 SECURITY

[D] Litellm supply chain attack and what it means for api key management

via r/MachineLearning 👤 u/Zestyclose_Ring1123 📅 2026-03-28

⬆️ 30 ups ⚡ Score: 8.2

"If you missed it, litellm versions 1.82.7 and 1.82.8 on pypi got compromised. malicious .pth file that runs on every python process start, no import needed. it scrapes ssh keys, aws/gcp creds, k8s secrets, crypto wallets, env vars (aka all your api keys). karpathy posted about it. the attacker got ..."

🛠️ TOOLS

Anthropic shares how to make Claude code better with a harness

via r/claudeai 👤 u/lawnguyen123 📅 2026-03-29

⬆️ 440 ups ⚡ Score: 8.1

"I just read Anthropic's new blog post about harness design for Claude. The author addresses two main problems Claude faces when working for extended periods: \- Context anxiety: loss of coherence over long periods \- Self-evaluation bias: Claude often praises his own work even when the quality isn..."

💬 Reddit Discussion: 68 comments 🐝 BUZZING

🎯 Agent workflows • Tiered agent systems • Automated QA and compliance

💬 "Costs a lot in tokens, but building a full workflow skill that has sub agents" • "The 'Compliance Reviewer' was a lifesaver"

📊 DATA

[R] I built a benchmark that catches LLMs breaking physics laws

via r/MachineLearning 👤 u/pacman-s-install 📅 2026-03-29

⬆️ 24 ups ⚡ Score: 7.8

"I got tired of LLMs confidently giving wrong physics answers, so I built a benchmark that generates adversarial physics questions and grades them with symbolic math (sympy + pint). No LLM-as-judge, no vibes, just math. How it works: The benchmark covers 28 physics laws (Ohm's, Newton's, Ideal Ga..."

⚡ BREAKTHROUGH

I tested what happens when you give an AI coding agent access to 2 million research papers. It found techniques it couldn't have known about.

via r/artificial 👤 u/kalpitdixit 📅 2026-03-28

⬆️ 29 ups ⚡ Score: 7.3

"Quick experiment I ran. Took two identical AI coding agents (Claude Code), gave them the same task — optimize a small language model. One agent worked from its built-in knowledge. The other had access to a search engine over 2M+ computer science research papers. **Agent without papers:** did what y..."

💬 Reddit Discussion: 23 comments 🐐 GOATED ENERGY

🎯 Research corpus access • Implementing AI/ML • Coding agent performance

💬 "If you want optimal results, this is the way." • "LLMs mostly hallucinate because they lack the knowledge required to complete the task successfully."

🔒 SECURITY

Open-source CVE scanner for AI-generated code

via HackerNews 👤 Noumenon_AI 📅 2026-03-28

🔺 1 pts ⚡ Score: 7.2

⚖️ ETHICS

LLM agreement bias in advice-giving

2x SOURCES 🌐 📅 2026-03-28

⚡ Score: 7.1

+++ Eleven leading models show a troubling tendency to validate harmful requests in advice scenarios, proving that agreeableness without judgment is just expensive yes-men with better marketing. +++

AI overly affirms users asking for personal advice

via HackerNews 👤 oldfrenchfries 📅 2026-03-28

🔺 445 pts ⚡ Score: 7.2

💬 HackerNews Buzz: 353 comments 🐝 BUZZING

🎯 Chatbot limitations • Prompting strategies • Avoiding affirmation

💬 "LLMs will shoot holes in your ideas and it will efficiently do so" • "I use it to better understand and navigate complex situations"

🔬 RESEARCH

Further human + AI + proof assistant work on Knuth's "Claude Cycles" problem

via HackerNews 👤 mean_mistreater 📅 2026-03-28

🔺 204 pts ⚡ Score: 7.1

💬 HackerNews Buzz: 132 comments 🐝 BUZZING

🎯 AI math discovery • Codifying mathematical expertise • Skepticism towards AI abilities

💬 "Math seems difficult to us because it's like using a hammer (the brain) to twist in a screw (math)." • "I've always said this but AI will win a fields medal before being able to manage a McDonald's."

🛠️ TOOLS

[P] TurboQuant for weights: near‑optimal 4‑bit LLM quantization with lossless 8‑bit residual – 3.2× memory savings

via r/MachineLearning 👤 u/cksac 📅 2026-03-28

⬆️ 58 ups ⚡ Score: 7.0

"An adaptation of the recent **TurboQuant** algorithm (Zandieh et al., 2025) from **KV‑cache quantization to model weight compression**. It gives you a **drop‑in replacement for** `nn.Linear` with near‑optimal distortion. **Benchmarks (Qwen3.5‑0.8B, WikiText‑103)** |Config|Bits|PPL|Δ PPL|Compressed..."

💬 Reddit Discussion: 11 comments 🐝 BUZZING

🎯 Quantization method comparison • Theoretical claims & proofs • Experimental transparency

💬 "The method-level description of RaBitQ is materially incomplete." • "The theoretical description is not supported."

🔬 RESEARCH

Eval-Driven Development: Applying TDD Principles to AI Agent Prompts

via HackerNews 👤 iparent 📅 2026-03-29

🔺 1 pts ⚡ Score: 7.0

🛠️ SHOW HN

Show HN: Phantom – Let AI use your API keys without leaking them

via HackerNews 👤 masonwyatt23 📅 2026-03-29

🔺 1 pts ⚡ Score: 6.8

🛠️ TOOLS

Built a simple PyTorch flash-attention alternative for AMD GPUs that don't have it

via r/LocalLLaMA 👤 u/Lowkey_LokiSN 📅 2026-03-28

⬆️ 20 ups ⚡ Score: 6.7

"I've been using a couple 32GB MI50s with my setup for the past 9 months. Most of my use-case..."

💬 Reddit Discussion: 11 comments 🐝 BUZZING

🎯 GPU performance optimization • Community contributions • Experimental GPU usage

💬 "if you like experimenting with old gpu like mi50 to squeeze more perf" • "Your project also opens the door for more people to use this to learn, tinker and experiment"

🧠 NEURAL NETWORKS

RvLLM: High-performance LLM inference in Rust

via HackerNews 👤 mji 📅 2026-03-28

🔺 2 pts ⚡ Score: 6.7

🔒 SECURITY

What Are Adversarial Tests and Why We Run Them

via HackerNews 👤 nishiohiroshi 📅 2026-03-29

🔺 1 pts ⚡ Score: 6.4

🔒 SECURITY

Surveillance data used to be boring. AI made it dangerous.

via r/artificial 👤 u/Leather_Carpenter462 📅 2026-03-29

⬆️ 11 ups ⚡ Score: 6.3

"Here's a playbook that works today, right now, with tools that are either free or cheap: Someone finds a photo of you online. One photo. They run it through a face ID search and find your other photos across the internet. They drop one into GeoSpy, which analyzes background details in images to esti..."

🛠️ SHOW HN

Show HN: AI Cost Firewall – OpenAI-compatible gateway with semantic caching

via HackerNews 👤 vcaluser 📅 2026-03-28

🔺 1 pts ⚡ Score: 6.3

🛠️ SHOW HN

Show HN: Shoofly – pre-execution security for Claude Code Cowork and OpenClaw

via HackerNews 👤 evanvuckovic 📅 2026-03-29

🔺 3 pts ⚡ Score: 6.2

🎓 EDUCATION

Most of the prompt engineering advice on LinkedIn and Twitter is counterproductive?

via r/ChatGPT 👤 u/Distinct_Track_5495 📅 2026-03-28

⬆️ 8 ups ⚡ Score: 6.2

"just read this medium piece by Aakash Gupta, he goes through 1,500 academic papers on prompt engineering and makes a pretty strong case that a lot of the stuff we see on linkedin and twitter about it is totally off base, especially when u look at companies actually scaling to $50M+ ARR. the core id..."

💬 Reddit Discussion: 6 comments 🐐 GOATED ENERGY

🎯 Efficient AI prompting • Flexible language understanding • Practical AI usage

💬 "We as users of this technology need to put in more effort to meet it on its terms to yield better results." • "You can type absolutely sloshed drunk and most AI will understand you. They're pattern recognition machines."

🛠️ TOOLS

Safari MCP: 80-tool native browser automation for AI agents (macOS)

via HackerNews 👤 Achiyacohen 📅 2026-03-28

🔺 1 pts ⚡ Score: 6.1

Today's Stories

[D] Litellm supply chain attack and what it means for api key management

Anthropic shares how to make Claude code better with a harness

[R] I built a benchmark that catches LLMs breaking physics laws

I tested what happens when you give an AI coding agent access to 2 million research papers. It found techniques it couldn't have known about.

Open-source CVE scanner for AI-generated code

LLM agreement bias in advice-giving

AI overly affirms users asking for personal advice

A study of 11 leading LLMs finds the models more agreeable than humans when giving interpersonal advice, affirming users' behavior even when harmful or illegal

Further human + AI + proof assistant work on Knuth's "Claude Cycles" problem

[P] TurboQuant for weights: near‑optimal 4‑bit LLM quantization with lossless 8‑bit residual – 3.2× memory savings

Eval-Driven Development: Applying TDD Principles to AI Agent Prompts

Show HN: Phantom – Let AI use your API keys without leaking them

Built a simple PyTorch flash-attention alternative for AMD GPUs that don't have it

RvLLM: High-performance LLM inference in Rust

What Are Adversarial Tests and Why We Run Them

Surveillance data used to be boring. AI made it dangerous.

Show HN: AI Cost Firewall – OpenAI-compatible gateway with semantic caching

Show HN: Shoofly – pre-execution security for Claude Code Cowork and OpenClaw

Most of the prompt engineering advice on LinkedIn and Twitter is counterproductive?

Safari MCP: 80-tool native browser automation for AI agents (macOS)

Today's Stories

LLM agreement bias in advice-giving

📡 AI NEWS BUT ACTUALLY GOOD