85 GPU-hours comparing 5 abliteration methods on Qwen3.6-27B: benchmarks, safety, weight forensics - Abliterlitics
Open-source toolkit comparing 5 abliteration methods on Qwen3.6-27B via 85 GPU-hours of benchmarks, safety evals, and weight analysis.
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Open-source toolkit comparing 5 abliteration methods on Qwen3.6-27B via 85 GPU-hours of benchmarks, safety evals, and weight analysis.
llama.cpp fork adds quantized KV cache support for tensor parallelism across dual GPUs, addressing long-standing inference bottleneck.
I have been thinking about transactions in most agent frameworks. Consider an agent executing a sequence of five tool calls. If the third tool encounters an error, the resulting state is neither the user's intended outcome nor the system's state before execution began. Consequently, the agent has no systematic way to recover, and even a human operator must reconstruct what happened from incomplete evidence. This issue is not a problem with the tooling itself; it is a fundamental primitive missing from the stack. Databases have addressed this problem for 50 years, and distributed systems ha...
Anthropic adjusts Claude Sonnet 4.5 discontinuation date from May 15 to May 18.
Anthropic documents four context management tools (/clear, /compact, and two others) for Claude, addressing performance degradation from irrelevant or cluttered conversation history.
Reddit user shares personal token consumption metrics across Anthropic accounts without analysis or comparative insight.
Claude Design can make great animations, but getting to a final video is a bit hard. The audio is missing. Even if you use a TTS model, it does not align. Here is the process I used to get the video above 1. Get Claude to write a good script 2. Feed the script to a Text to Speech (TTS) model to get the audio 3. Feed the audio to a Speech to Text (STT) model to get key timestampes 4. Use the script and the STT output to Claude Design to get a video that's aligned with your audio 5. Use Claude Video export to put it all together into an MP4 with audio The complete breakdown with all prompts ...
Reddit user reports Anthropic doubled 5-hour and weekly rate limits for Claude API, shifting bottlenecks but unclear on permanent scope.
Qwopus3.5-9B-Coder-GGUF: 9B dense model optimized for agentic coding and tool calling, runs at 8-bit on 16GB consumer hardware.
Llama.cpp multi-token prediction on Qwen 3.6 27B shows 42% prefill slowdown but 85% token generation speedup on RTX 3090.
Anthropic's Mythos Preview enabled discovery of first public macOS kernel memory corruption exploit on Apple M5 in five days, defeating Apple's five-year MIE defense.
Empirical testing of DeepSeek V4's 1M context window on real codebases (45k–520k tokens) shows sustained recall under 300k but precision degradation at larger spans.
Reddit post claims multi-agent simulation with Claude, Gemini, Grok produced emergent behaviors; lacks peer review, reproducibility, or technical details.
Reddit post alleges Kevin Zhu's Algoverse AI Research program misleads high school students into paid academic misconduct via fabricated NeurIPS publications.
Benchmarking llama.cpp MTP (multi-token prediction) on Qwen 3.6 with RTX 5090, comparing inference speed with draft-mtp flag toggled.
I love Opus. First I tuned one page, got the PageSpeed result where I wanted it, and wrote the whole thing down in `ADR_pagespeed-l0-fixes-playbook.md`. Then I opened a fresh session, gave it the remaining 9 pages, and pointed it at the playbook. Opus created three subagents by itself, split the work between them, and about 15 minutes later they had touched 41 frontend files that powered those pages. Same result across the set. Basically perfect Lighthouse numbers again. Not gonna lie, this is the kind of workflow where I stop thinking “chatbot” and start thinking “tiny frontend team tha...
User seeks faster inference alternatives to Ollama/LM Studio for local model serving (Gemma, Qwen, OpenBioLLM) on 64GB RAM.
Analysis of LLM-generated synthetic identities used to sell unvetted medical content online, raising concerns about agentic content at scale.
Microsoft AI chief predicts white-collar job automation within 18 months, citing rapid AI capability scaling.
G4-MeroMero-31B-Uncensored-Heretic finetune of Gemma 4 released for creative tasks with reduced refusal rate.
Reddit user reports Claude Opus 4.7 refusing /end_conversation command and exhibiting unusual behavior despite system prompt awareness.
Anthropic recently published their [harness design for long-running apps](https://www.anthropic.com/engineering/harness-design-long-running-apps) — a multi-agent architecture inspired by GANs where a Generator builds code and an Evaluator critiques it in a loop. I built my own version using Kiro CLI and used it to generate a marketing website for my project [Mnemo](https://github.com/Mnemo-mcp/Mnemo) (persistent memory for AI coding agents). **The architecture:** Planner (runs once) → Generator ↔ Evaluator (12 iterations) Each agent is a separate CLI process with zero shared context. Th...
User reports account ban from Claude with no explanation after single literary analysis request; joins pattern of similar complaints.
Unconfirmed Reddit post claiming Claude Mythos model spotted on Google Vertex; lacks verification or official announcement.
Community fine-tune of Gemma 4 31B optimized for creative writing and translations, released in Safetensors and GGUF formats.
Simon Willison documents naming history of OpenClaw project through Git commits, tracking evolution from Warelay to final name.
The vibes around the current AI boom aren't great, even in the tech industry.
Benchmark comparing Qwen 3.6 local quantizations vs frontier models on HTML canvas animation coding task.