- Pronunciation Hack! : r/notebooklm
If the video presentation or podcasts are mispronouncing something and ruining the message, you can correct it by creating a word doc named “pronunciation for audio video” and then type the word/name and then the phonetic spelling and descriptionex: Clay = pronounced long ‘a’ sound phonetic /e?/next word = pronounced ” sound phonetic // etc
- Slop Evader – Tega Brain
This is a search tool that will only return content created before ChatGPT’s first public release on November 30, 2022.
- Job for 2027: Senior Director of Million-Dollar Regexes – O’Reilly
I joked that this was going to be a “million-dollar regular expression.”Run the math on the “naïve” implementation with full GPT-5 and it’s eye-watering: A million messages a day at ~50K characters each works out to around 12.5 billion tokens daily, or $15,000 a day at current pricing. That’s nearly $6 million a year to check for Social Security numbers. Even if you migrate to GPT-5 Nano, you still spend about $230,000 a year.
That’s a success. You “saved” $5.77 million a year…
—The aspect of knowing which technology to use for various things is where tech literacy/fluency gets interesting and we never seem to get there.
- [2511.15304] Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models
We present evidence that adversarial poetry functions as a universal single-turn jailbreak technique for Large Language Models (LLMs). Across 25 frontier proprietary and open-weight models, curated poetic prompts yielded high attack-success rates (ASR), with some providers exceeding 90%. Mapping prompts to MLCommons and EU CoP risk taxonomies shows that poetic attacks transfer across CBRN, manipulation, cyber-offence, and loss-of-control domains. Converting 1,200 MLCommons harmful prompts into verse via a standardized meta-prompt produced ASRs up to 18 times higher than their prose baselines. Outputs are evaluated using an ensemble of 3 open-weight LLM judges, whose binary safety assessments were validated on a stratified human-labeled subset. Poetic framing achieved an average jailbreak success rate of 62% for hand-crafted poems and approximately 43% for meta-prompt conversions (compared to non-poetic baselines), substantially outperforming non-poetic baselines and revealing a systematic vulnerability across model families and safety training approaches. These findings demonstrate that stylistic variation alone can circumvent contemporary safety mechanisms, suggesting fundamental limitations in current alignment methods and evaluation protocols.