GENERATIVE AI

Claude Opus 4.5 as a genius prompt engineer

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16 January 2026 12h04

Claude Opus 4.5 is s genius prompt engineer. The main skill is explaining your goal clearly My workflow is this:
> I need to solve [TASK]. Research best practices and breakdown how to solve the problem in its first principles. > As an expert prompt engineer, generate a

Pattern #8: Iterative Refinement Protocols with Specific Dimensions

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16 January 2026 9h30

Pattern #8: Iterative Refinement Protocols Public: "Improve your response" Internal: Structured refinement with specific dimensions. "Iteration 1: Optimize for accuracy. Iteration 2: Optimize for clarity. Iteration 3: Optimize for conciseness. Score each dimension. Stop when

Pattern #7: Evidence-Grounded Generation

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16 January 2026 9h30

Pattern #7: Evidence-Grounded Generation Public: "Use examples" Internal: Explicit evidence tagging and traceability. "For each claim, cite source [S#]. For each inference, state reasoning [R#]. Confidence: [0-1]. If confidence

Multi-Stage Reasoning Pipelines with Explicit Stage Separation

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16 January 2026 9h30

Pattern #4: Multi-Stage Reasoning Pipelines Public: "Think step by step" Internal: Explicit stage separation with intermediate checkpoints. "Stage 1: Extract facts. Stage 2: Identify constraints. Stage 3: Generate candidates. Stage 4: Filter. Stage 5: Rank. Stage 6: Verify."

Constitutional Prompting: Self-Correcting Multi-Layered Principles

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16 January 2026 9h30

Pattern #1: Constitutional Prompting Public docs say: "Be clear and specific" DeepMind actually uses: Multi-layered constitutional principles that self-correct. Example: "First verify this follows principle X. If violation detected, revise. Then check principle Y. Iterate

DeepMind’s undocumented prompting patterns boost accuracy from 73% to 94%

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16 January 2026 9h30

Google's official prompting guide is marketing. Their internal researchers use completely different techniques. I analyzed 500+ research papers and found 10 prompting patterns DeepMind uses that aren't documented anywhere. Pattern #4 increased my accuracy from 73% to 94%.

→ View original post on X — @parrysingh

AI as cognitive offloading partner for reducing mental workload

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@parrysingh

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16 January 2026 6h43

Yep, that’s what AI is for – a partner for offloading cognitive drudgery to.

→ View original post on X — @simonw

User Adopts Opus and Claude Code AI Tools

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@simonw

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16 January 2026 6h22

They got me on that plan now, Opus and Claude Code won me over

→ View original post on X — @baichuanai

Baichuan-M3 Medical LLM Open-Sourced, Outperforms GPT-5.2

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@baichuanai

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16 January 2026 4h11

We have officially open-sourced the new-generation medical LLM Baichuan-M3, which scored 65.1 on HealthBench and claimed the championship with 44.4 on HealthBench Hard. It has comprehensively outperformed GPT-5.2 across the board in the medical field. @OpenAI @claudeai