HN Mushroom hunting with LLMs: what can go wrong?
Mushroom identification with AI: GPT-5.6-Sol, Gemini 3.8 Flash, GLM-5.3-Flash and Claude Fable 5.1 benchmarked on poisonous and edible species of FungiTastic. A lot of dangerous errors.
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OpenAI Codex pricing: the $270 PR a $200/month sub covers daily
A buyer’s guide to OpenAI Codex for individuals, teams, and enterprises. Includes comparisons with Claude Code.
Benchmarking Qwen3.8 27B quantizations: 4-bit holds up, 1-bit collapses
I test Unsloth GGUFs of Qwen3.8 27B (Q4_K_M, UD-Q2_K_XL, UD-IQ1_S) with llama.cpp on GPQA Diamond, IFBench, Terminal-Bench 2.1. Q4_K_M matches BF16 abd fits an RTX 4090.
Gemini 3.7 Flash, Grok 4.6, GLM-5.3 and DeepSeek V4 Pro joined the frontier
August 2026 on Baba Is Bench: Gemini 3.7 Flash, Grok 4.6 and DeepSeek V4 Pro 0813 each beat their predecessor while costing 3-20x less. For open-weight GLM-5.3 and Qwen3.8 progress is gradual.
HN Claude Code pricing: same tokens, same model, up to 40x the price
Claude Code buyer’s guide, August 2026: what Max, Team, and Enterprise cost, how to get the best deal, and how Uber and Shopify cap the spend.
I wired 4 models together in Claude Code. One refused, and it backfired 4 ways on Terminal-Bench
Four Claude models wired together in Claude Code: model refusals on delegated security tasks, seventh place, twice the cost of the top single-model run.
Quantization hurts knowledge nonlinearly - Qwen3.6 27B case study
Quantization is a lossy compression, and factual knowledge is incompressible. We test Qwen3.6 27B GGUF quantizations from Hugging Face (by Unsloth and Bartowski) and llama.cpp on the Incompressible Knowledge Probes (IKP) benchmark.
Kimi K3 is Open, Opus 5 is Good, DeepSeek V4 Flash is Cheap: LLMs on Baba Is You
We evaluate July 2026 fresh releases Kimi K3, Claude Opus 5, Grok 4.5, Gemini 3.6 Flash, and DeepSeek V4 Flash 0731 on Baba Is Bench, an LLM agent benchmark based on the puzzle game Baba Is You, comparing pass rate, speed, and cost with Claude Fable 5 and GPT-5.6.
A lesson about retries, hidden in the DeepSeek-V4 paper
A warning hidden in the DeepSeek-V4 paper says retrying interrupted LLM requests is mathematically incorrect — it introduces length bias. I reproduced it on 100,000 poems.
Do Qwen3.6 27B quantizations break the pelican?
We tested Qwen3.6 27B quantizations by Unsloth on Hugging Face, with pelicans on bikes, gears, Terminal-Bench 2.1, and AIME-120.
HN I burned all my tokens researching how to save tokens
How I burned a full Claude limit in 30 minutes and built my own deep research pipeline instead: 3 subscriptions, shared memory, a clear role for each model. You can build the same from what you already pay for.
Baba Is Solved by Fable 5 and GPT-5.6 Sol, but at what cost?
We ported the puzzle game Baba Is You to the Harbor framework, and benchmarked current models, including Claude, GPT, Gemini, GLM, and DeepSeek. A human Twitch streamer is 4x faster than Claude Fable 5.
Featured Tokenflation: When “Hi” triggers 33 tool calls
Tokenflation: simple tasks consuming ever more context, reasoning, and tool calls without more useful output. We benchmarked 14 models; one answered “Hi” with 33 tool calls and an unsolicited commit.
HN Qwen3.6 27B is the sweet spot for local development
Qwen3.6 27B is finally a smart model we can use for coding on MacBook or NVIDIA RTX - with llama.cpp and OpenCode.
Compare harnesses, not models: Blitzy vs. GPT-5.4 on SWE-Bench Pro
An independent audit of agentic scaffolding and harnesses. We analyze how agent workflows, codebase documentation, and test verification impact performance compared to raw base models like GPT-5.4, Gemini 3.1 Pro, and Claude Code.