parallel agents just went mainstream. OpenAI shipped it in ChatGPT last week: GPT-6 Astra Pro can now split a task across several agents running at the same time, and you can follow each one's progress and open its finished work. The same week a Sakana AI paper on orchestrating
@godofprompt
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An AI Resource Collection Includes Harness Guides and Automation Workflows
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What's inside: → 20+ mastery guides: Claude Code, GPT-6 Astra, Gemini 4 Argon, harness engineering, and more
→ Unlimited Custom Prompt Generator
→ Powerful prompts for every major model
→ 14 n8n automations, import and run
→ 200+ AI tools directory
→ 100+ free AI courses, -
REA Setup Helps GrokBot Agent Teams Reverse Engineer Software
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SpaceXAI engineer just released REA (Reverse Engineer Anything) setup for GrokBot agent teams
— God of Prompt (@godofprompt) 16 octobre 2026
send the pdf to your GrokBot agent team to reverse-engineer any software from scratch. pic.twitter.com/ok8pAHgOWZSpaceXAI engineer just released REA (Reverse Engineer Anything) setup for GrokBot agent teams send the pdf to your GrokBot agent team to reverse-engineer any software from scratch.
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REA Prompt Separates Tool Observations From Inferences and Confidence Estimates
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REA’s author just made the reverse prompt public
— God of Prompt (@godofprompt) 15 octobre 2026
this shit is kinda wild
every finding has to be labelled. Observation if a tool actually returned evidence for it, Inference if the agent worked it out, and an Inference needs a confidence level and competing explanations… pic.twitter.com/qcWwBDntRzREA’s author just made the reverse prompt public this shit is kinda wild every finding has to be labelled. Observation if a tool actually returned evidence for it, Inference if the agent worked it out, and an Inference needs a confidence level and competing explanations
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Grok Bot Prompt Coordinates Other Agents With Approval and Accountability
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This Grok Bot prompt is literally a $300/hr chief of staff you give it the task, it decides which of your other bots handles it it won’t hand you anything unsourced, won’t do anything irreversible without asking, and every week it scores which of your bots actually shipped and
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REA Helps Coding Agents Reverse Engineer Application Features
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highly recommend adding REA to Claude Code or Codex see a feature you like in another app? your agent takes it apart, shows you how it’s built, then helps you build your own version in your project it works down layer by layer and backs every finding with a file, a function and
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A Model Switching Guide Favors Real Task Cost Comparisons
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When to switch: → Long agentic coding, refactors, migrations: test it now
→ Doc-heavy legal/finance/research: test it now
→ Repeated big context: the 95% cache discount is the lever
→ Workflows already dialed in on Claude: run both, compare cost per task No vibes. Run your -
Professional Benchmark Comparison Finds Modest Quality Gains With Lower Costs
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Now the honest part. The Vals lead is 1.86 points over Sonnet and 1.93 over Opus. That's a lead, not a blowout. What's lopsided is cost. Roughly half the bill for slightly better results. It's the gap to GPT-6 Astra (5.77 points) that's real.
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Argon Reports Prompt Injection Resistance and Physical Reasoning Results
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Agent safety numbers, if you run it on untrusted input: → Gray Swan prompt injection: 0.7% attack success across 15 adaptive attempts
→ Adversarial violations down nearly 2x vs past Gemini models
→ ERQA physical reasoning: 87% -
Gemini Speeds Model Inference and Scientific Document Synthesis
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Two more that matter: → Gemma 4 E2B inference 2.85x faster on an A100 (~37,900 → 108,000+ tok/s) with 100% token parity, in a few days
→ Isomorphic Labs: patent and PDF synthesis cut from weeks to hours That's the pattern: long, boring, multi-step work.