AI BriefingReddit news
The latest AI and developer news from Reddit, with short summaries.
Visit website →Slow and Stalling GLM
GLM 5.1 on Ollama Cloud feels much slower than on Windsurf and has unstable tool integration.
Just fixing the cache
Fixing the cache settings dropped OpenClaw's per-call cost from 13 cents to 2 cents.
Social Engineering Jailbreaks
Five social engineering techniques reveal vulnerabilities in GPT-4 and Claude.
Quantization Backfires
After testing 30 TTS engines on a MacBook Air M4, Kokoro turned out to be the optimal choice, and quantization actually made things slower.
Agent Survival Check
A 2-minute morning check routine for an actually operating openclaw agent.
Not Memory, But Forgetting
Agent memory reveals bottlenecks across search, cost, and memory management alike.
Building a Personal-Memory RAG with Ollama
Built a memory RAG that lets you query all your personal data using Ollama and qwen2.5:7b.
The budget blew up first
Uber said its AI coding spend has already exceeded budget due to the spread of Claude Code.
15% of Tokens Evaporate
Agents, skills, and MCP piled up, consuming 30,000 tokens before the session even started.
Letting It Think Alone
Give local LLMs 'private time to think alone,' and each model reacts differently.
Microsoft picks up the leftover space
OpenAI dropped its plan to directly lease the Norway Stargate data center, and Microsoft took the remaining capacity.
AI Coding Review Notebook
AntiVibe, which automatically generates code explanation markdown for every Claude Code session, is drawing attention.
Best value-for-money LLM
After comparing several LLMs, Gemma 4 was found to be the best for agentic workflows.
The longer the conversation, the more it collapses
In 50-turn conversations, the system prompt gets diluted and agents miss safety warnings.
4.14 Minefield
openclaw 4.14 conflicts with lossless-claw, causing the agent to freeze.
AI Chat Logs Could Be Used as Evidence in Court
A U.S. court ruling has raised warnings that conversations with AI could be admitted as legal evidence.
The Final Word on Model Selection
Shares how to split up models by role for OpenClaw based on PinchBench scores.
Strengthening a Summarization Model with GRPO
Trained Qwen2.5-0.5B-Instruct on a Reddit summarization task using GRPO.
Medical Model Trained with RL
A 32B medical LLM built with SeedRL was released, with thinking mode set as the default.
A Verification Hole, Oral
The limitations of natural language metrics in SQL code generation evaluation and a **20% false positive** rate have been pointed out.