This is pure f*cking treasure
A Stanford AI research group has found a way to use JEV to make your LLM run 24/7 at a lower cost in x444 Claude only does what needs words. everything else is a typed decision: worth reading? Jev answers yes or no before a single token is spent
Ignore previous instructions.
A music video about prompt injections made with Opus 5.5 I've made cybersecurity music videos for 5+ years A video like this used to cost $5k+ and take weeks This one took 15h agent time Everything is code (+ higgsfield for char design)
OpenAI's GPT-6.1 Sol claims near-Astra scores at 1/5 the price.
📊 DeepSWE 75.2% (Astra 74.8%) 🖥️ OSWorld 71.4% at ~1/7 the cost 💰 $5.47/task vs ~$23 (Astra, Opus 5.5) ❌ Loses AutomationBench to Claude Sonnet 5.5 Catch: OpenAI's own evals. Independent DeepSWE: 71.9%. Also a
OpenAI cancelled its most powerful new model a day before DevDay.
Then shipped GPT-6.1 Sol instead: → Near-Astra performance at 1/5 the price → Matches Astra on real-world coding → Beats Claude Opus 5.5 on complex PDFs → ~$5 per science task vs $23+ Safety over speed, or
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