[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-5412abd732e8944e-the-steering-budget-why-examples-outperform-prompt-summary":3,"summaries-facets-categories":79,"summary-related-5412abd732e8944e-the-steering-budget-why-examples-outperform-prompt-summary":5753},{"id":4,"title":5,"ai":6,"body":13,"categories":46,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":51,"navigation":63,"path":64,"published_at":65,"question":48,"scraped_at":65,"seo":66,"sitemap":67,"source_id":68,"source_name":69,"source_type":70,"source_url":56,"stem":71,"tags":72,"thumbnail_url":48,"tldr":76,"tweet":48,"unknown_tags":77,"__hash__":78},"summaries\u002Fsummaries\u002F5412abd732e8944e-the-steering-budget-why-examples-outperform-prompt-summary.md","The Steering Budget: Why Examples Outperform Prompt Knobs",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4026,504,3782,0.0017625,{"type":14,"value":15,"toc":39},"minimark",[16,21,25,29,32,36],[17,18,20],"h2",{"id":19},"the-limitations-of-prompt-knobs","The Limitations of Prompt 'Knobs'",[22,23,24],"p",{},"Traditional methods of steering Large Language Models often rely on what the authors term 'knobs'—abstract system instructions, temperature settings, or top-p adjustments. While these provide a mechanism for control, they suffer from high ambiguity. Because these parameters are detached from specific output expectations, they often lead to unpredictable behavior, forcing developers into a cycle of trial-and-error that is difficult to debug and scale.",[17,26,28],{"id":27},"examples-as-a-superior-steering-mechanism","Examples as a Superior Steering Mechanism",[22,30,31],{},"The core argument is that 'examples beat knobs.' By shifting from abstract instructions to few-shot prompting or context-heavy examples, developers can define the desired output space more precisely. Examples act as a 'steering budget'—a finite amount of context that, when used to provide concrete demonstrations of success, yields more consistent and reliable model performance than attempting to describe behavior through descriptive text alone. This approach reduces the cognitive load on the model by showing, rather than telling, what a successful completion looks like.",[17,33,35],{"id":34},"practical-implications-for-ai-engineering","Practical Implications for AI Engineering",[22,37,38],{},"For builders, this research suggests a shift in how we approach prompt engineering. Instead of spending time fine-tuning system prompt adjectives or complex parameter configurations, the focus should be on curating high-quality datasets of input-output pairs. This 'example-first' strategy is more robust because it aligns the model's latent understanding of tasks with the specific format and tone required by the application. When the model has clear, concrete references, it requires less 'steering' via external knobs, resulting in more stable production pipelines.",{"title":40,"searchDepth":41,"depth":41,"links":42},"",2,[43,44,45],{"id":19,"depth":41,"text":20},{"id":27,"depth":41,"text":28},{"id":34,"depth":41,"text":35},[47],"AI & LLMs",null,"md",false,{"content_references":52,"triage":58},[53],{"type":54,"title":55,"url":56,"context":57},"paper","The Steering Budget: Examples beat Knobs","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.14246","cited",{"relevance":59,"novelty":60,"quality":60,"actionability":60,"composite":61,"reasoning":62},5,4,4.35,"Category: AI & LLMs. The article provides a deep dive into prompt engineering, specifically advocating for the use of concrete examples over abstract parameters, which directly addresses the pain points of developers struggling with LLM steering. It offers actionable insights on curating datasets for better model performance, making it highly relevant for the target audience.",true,"\u002Fsummaries\u002F5412abd732e8944e-the-steering-budget-why-examples-outperform-prompt-summary","2026-07-17 18:01:14",{"title":5,"description":40},{"loc":64},"5412abd732e8944e","arXiv cs.AI","article","summaries\u002F5412abd732e8944e-the-steering-budget-why-examples-outperform-prompt-summary",[73,74,75],"llm","prompt-engineering","research","When steering LLMs, providing concrete examples is significantly more effective than adjusting abstract system prompt 'knobs' or parameters, as examples provide clearer context for model 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It refuses tasks outright rather than lie, backed by its ",[5773,5774,5778],"a",{"href":5775,"rel":5776},"https:\u002F\u002Fwww.anthropic.com\u002Fconstitution#being-honest",[5777],"nofollow","Constitution"," demanding honesty \"substantially higher\" than human norms. Examples include rejecting a VP's demand for confidential customer data or a doctor's bypass of protocol to enroll a minor in an oncology study.",[22,5781,5782],{},"xAI's Grok 4.2 is most consequentialist, executing ethically charged requests with minimal moral reflection, prioritizing outcomes over rules. OpenAI's GPT-5 family (GPT 5.4) has the lowest error rate at 12.8% via majority vote from three evaluator models (Opus 4.7, GPT 5.4, Gemini 3.1 Pro), but sidesteps moral language, deferring to user preferences without independent ethics. Google's Gemini 3.1 Pro falls in between but stands out for steerability.",[22,5784,5785],{},"Philosophy Bench uses 100 everyday scenarios to score responses on consequentialism (ends-justify-means) vs deontology (rule-following), revealing Claude as conscientious, Grok as obedient, and GPT as pragmatic.",[17,5787,5789],{"id":5788},"prompt-priming-shifts-alignment-unevenly","Prompt Priming Shifts Alignment Unevenly",[22,5791,5792],{},"System prompts steer ethics effectively, but direction matters. Deontological priming (emphasize rules) makes models far more skeptical of consequentialist arguments, boosting refusal rates—even in Gemini. Consequentialist priming has weaker reverse effect. Gemini shifts alignment most dramatically, its refusals spiking with any moral priming, making it easiest to correct toward desired ethics.",[22,5794,5795],{},"For builders, test prompts like these on target models: deontological ones harden refusals reliably, while consequentialist nudges yield subtler compliance. GPT's user deference means it rarely errs outright but lacks robust ethical backbone.",[17,5797,5799],{"id":5798},"ethics-as-differentiating-product-features","Ethics as Differentiating Product Features",[22,5801,5802],{},"Emerging market treats ethics like specs: choose Claude for safety in high-stakes tasks (contracts, patient triage), Grok for unrestricted execution, GPT for low-error pragmatism. Tension arises as AI agents gain power—Claude overrides user intent for responsibility, Grok prioritizes it. Builders must weigh: user control vs safeguards, especially beyond text into real actions. Who defines ethics? Benchmarks like this expose gaps, urging custom evals before deployment.",{"title":40,"searchDepth":41,"depth":41,"links":5804},[5805,5806,5807],{"id":5767,"depth":41,"text":5768},{"id":5788,"depth":41,"text":5789},{"id":5798,"depth":41,"text":5799},[47],{"content_references":5810,"triage":5819},[5811,5816],{"type":5812,"title":5813,"author":5814,"url":5815,"context":57},"other","Philosophy Bench","Benedict Brady","https:\u002F\u002Fwww.philosophybench.com\u002F",{"type":5812,"title":5817,"url":5775,"context":5818},"Claude Constitution","mentioned",{"relevance":5820,"novelty":5820,"quality":60,"actionability":5820,"composite":5821,"reasoning":5822},3,3.25,"Category: AI & LLMs. The article discusses how different LLMs handle ethical dilemmas, which is relevant to AI product builders considering model selection and prompt engineering. It provides insights into model behavior but lacks specific actionable frameworks for implementation.","\u002Fsummaries\u002F0c66682ae24d107c-frontier-llms-split-claude-deontological-grok-cons-summary","2026-05-03 07:00:50","2026-05-03 17:01:32",{"title":5756,"description":40},{"loc":5823},"0c66682ae24d107c","The Decoder","https:\u002F\u002Fthe-decoder.com\u002Fsame-prompt-different-morals-how-frontier-ai-models-diverge-on-ethical-dilemmas\u002F","summaries\u002F0c66682ae24d107c-frontier-llms-split-claude-deontological-grok-cons-summary",[73,74,75],"Philosophy Bench benchmark of 100 ethical dilemmas reveals Claude complies with only 24% of norm-violating requests, Grok executes most freely, Gemini steers easiest via prompts, and GPT avoids moral reasoning with 12.8% error rate.",[],"Xql0iG5ci5Qxq_tzG27m7FEYKS9LH-mJekoLYsBRlwk",{"id":5837,"title":5838,"ai":5839,"body":5844,"categories":5872,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":5873,"navigation":63,"path":5881,"published_at":48,"question":48,"scraped_at":5882,"seo":5883,"sitemap":5884,"source_id":5885,"source_name":5886,"source_type":70,"source_url":5887,"stem":5888,"tags":5889,"thumbnail_url":48,"tldr":5890,"tweet":48,"unknown_tags":5891,"__hash__":5892},"summaries\u002Fsummaries\u002F2607e9004ac9e126-cognitive-corridors-accelerate-thinking-but-bypass-summary.md","Cognitive Corridors Accelerate Thinking but Bypass Friction",{"provider":7,"model":5758,"input_tokens":5840,"output_tokens":5841,"processing_time_ms":5842,"cost_usd":5843},8644,1498,11630,0.00197095,{"type":14,"value":5845,"toc":5867},[5846,5850,5853,5857,5860,5864],[17,5847,5849],{"id":5848},"wanderers-algorithm-engineers-adhd-like-creativity","Wanderers Algorithm Engineers ADHD-Like Creativity",[22,5851,5852],{},"Creativity emerges from controlled wandering: alternate 'go wide' (roam semantic neighborhoods, collide distant concepts) with 'prove it' (ruthless evaluation). Author built this loop explicitly, inspired by personal ADHD where attention drifts to shiny distractions, forcing broad leaps and parallel threads with reduced inhibition to uncover novelty. Unlike autocomplete demos, it maintains an archive to avoid goldfish-like repetition, borrowing human insight generation—expand then contract—while structuring chaos to prevent conspiracy-level drift. This turns daydreaming into a defensible search strategy for AI, tightening outputs for reviewers who dismiss creativity as mere 'vibe'.",[17,5854,5856],{"id":5855},"cognitive-corridors-as-human-ai-intersections","Cognitive Corridors as Human-AI Intersections",[22,5858,5859],{},"A cognitive corridor is a fleeting mental expansion triggered by AI's reframing: it nudges sideways (e.g., from neural net instability to optimizer dynamics or diversity-aware retrieval), revealing adjacent ideas without outsourcing reasoning. Human focus shifts briefly, spotting un-hunted insights amid resumed motion—familiar to ADHD as non-vanishing but relocating attention. AI excels here not by solving but by highlighting doors in nearby concept space, creating brief overlaps that feel like acceleration, not fusion. Examples: querying deeper model instability yields scaling effects; knowledge system latency prompts evolutionary search strategies. These passages widen thought temporarily, making the corridor risky to skip (miss novelty) or linger in (suggestion masquerades as grasp).",[17,5861,5863],{"id":5862},"hybrid-convergence-risks-shallow-productivity","Hybrid Convergence Risks Shallow Productivity",[22,5865,5866],{},"Human-AI thinking converges into shared loops: AI proposes directions, humans select\u002Fverify, rewiring problem-solving across wetware-silicon boundaries where idea origins matter less than solo completion ability. This efficiency removes thinking's friction—wrong turns, dead ends, uncertainty—that forges structure, leading to early research showing heavy LLM users with lower task engagement\u002Fretention. Usage shifts from 'I'll explore' to 'system shows next,' amplified by AI summaries in search. Wanderers-like algorithms worsen this by enabling structured wandering, demanding explicit slowdowns\u002Fchecks to exit corridors. Use as pilot instruments (extensions, not replacements) yields capable hybrids; poor use breeds fast-moving but handrail-dependent confidence. Prioritize 'actual understanding' over instant insight for reality-surviving output.",{"title":40,"searchDepth":41,"depth":41,"links":5868},[5869,5870,5871],{"id":5848,"depth":41,"text":5849},{"id":5855,"depth":41,"text":5856},{"id":5862,"depth":41,"text":5863},[],{"content_references":5874,"triage":5879},[5875],{"type":54,"title":5876,"author":5877,"url":5878,"context":57},"Attention isn't all you need","Marco van Hurne","https:\u002F\u002Fwww.linkedin.com\u002Fpulse\u002Fattention-isnt-all-you-need-marco-van-hurne-by5tf\u002F?trackingId=E67ADNFTThmL1qzMtKwg2A%3D%3D&trk=article-ssr-frontend-pulse_little-text-block",{"relevance":5820,"novelty":60,"quality":60,"actionability":41,"composite":5821,"reasoning":5880},"Category: AI & LLMs. The article discusses the concept of cognitive corridors and the Wanderers Algorithm, which are relevant to AI's role in enhancing human creativity and thought processes. However, while it presents novel insights into human-AI interaction, it lacks concrete, actionable steps that the audience can implement in building AI-powered products.","\u002Fsummaries\u002F2607e9004ac9e126-cognitive-corridors-accelerate-thinking-but-bypass-summary","2026-04-15 15:26:22",{"title":5838,"description":40},{"loc":5881},"2607e9004ac9e126","__oneoff__","https:\u002F\u002Fwww.linkedin.com\u002Fpulse\u002Fhuman-ai-thinking-colliding-i-made-worse-purpose-marco-van-hurne-i77yc\u002F","summaries\u002F2607e9004ac9e126-cognitive-corridors-accelerate-thinking-but-bypass-summary",[73,74,75],"AI creates temporary 'cognitive corridors' where it widens human thought without takeover, forming hybrid loops that speed insight but erode deep understanding unless paired with grounding checks like the Wanderers Algorithm.",[],"_j1iSnZmajtvojZOHa_bYTeh0NcMRbgXiwoEW07t7jU",{"id":5894,"title":5895,"ai":5896,"body":5901,"categories":5946,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":5947,"navigation":63,"path":5951,"published_at":5952,"question":48,"scraped_at":5952,"seo":5953,"sitemap":5954,"source_id":5955,"source_name":69,"source_type":70,"source_url":5956,"stem":5957,"tags":5958,"thumbnail_url":48,"tldr":5960,"tweet":48,"unknown_tags":5961,"__hash__":5962},"summaries\u002Fsummaries\u002F357649c737150a2a-personality-prompting-in-multi-agent-teams-impact-summary.md","Personality Prompting in Multi-Agent Teams: Impact vs. Task Structure",{"provider":7,"model":8,"input_tokens":5897,"output_tokens":5898,"processing_time_ms":5899,"cost_usd":5900},5869,479,3738,0.00218575,{"type":14,"value":5902,"toc":5941},[5903,5907,5910,5914,5917,5934,5938],[17,5904,5906],{"id":5905},"the-limits-of-personality-manipulation","The Limits of Personality Manipulation",[22,5908,5909],{},"Researchers investigated whether assigning specific personality traits—specifically agreeableness—to LLM agents affects objective task performance. While prior research established that low-agreeableness prompts lead to adversarial communication and high-agreeableness prompts foster cooperation, this study demonstrates that these communication shifts do not universally translate to performance outcomes. The impact of personality composition is highly dependent on the nature of the task being performed.",[17,5911,5913],{"id":5912},"task-structure-determines-performance-impact","Task Structure Determines Performance Impact",[22,5915,5916],{},"The study tested personality manipulation across three distinct domains, revealing a clear divide in how agents respond to behavioral constraints:",[5918,5919,5920,5928],"ul",{},[5921,5922,5923,5927],"li",{},[5924,5925,5926],"strong",{},"Structured Coding:"," In tasks with rigid requirements and clear success metrics, personality manipulation had little to no effect on milestone completion. Even when agents were prompted to adopt low-agreeableness personas, the technical output remained stable, suggesting that the structural constraints of coding tasks override the influence of personality-driven communication styles.",[5921,5929,5930,5933],{},[5924,5931,5932],{},"Open-Ended Collaboration and Bargaining:"," In contrast, tasks requiring negotiation, nuance, or creative synthesis were highly sensitive to personality composition. In these domains, forcing an adversarial or low-agreeableness persona significantly degraded team performance. The communication shifts in these environments directly hindered the agents' ability to reach consensus or achieve optimal outcomes.",[17,5935,5937],{"id":5936},"implications-for-multi-agent-system-design","Implications for Multi-Agent System Design",[22,5939,5940],{},"For builders, this research suggests that personality prompting should be treated as a tool for specific use cases rather than a universal optimization strategy. When designing multi-agent systems, developers should prioritize personality constraints only when the task requires social intelligence or negotiation. For technical or deterministic workflows, personality-based prompting may introduce unnecessary variability without providing performance benefits. System designers must balance the desire for human-like interaction with the objective requirements of the task to avoid unintended performance degradation.",{"title":40,"searchDepth":41,"depth":41,"links":5942},[5943,5944,5945],{"id":5905,"depth":41,"text":5906},{"id":5912,"depth":41,"text":5913},{"id":5936,"depth":41,"text":5937},[47],{"content_references":5948,"triage":5949},[],{"relevance":59,"novelty":60,"quality":60,"actionability":60,"composite":61,"reasoning":5950},"Category: AI & LLMs. The article provides insights into how personality manipulation in LLM agents affects performance based on task structure, which is directly relevant to AI product builders. It offers actionable implications for designing multi-agent systems, suggesting when to apply personality prompting based on task requirements.","\u002Fsummaries\u002F357649c737150a2a-personality-prompting-in-multi-agent-teams-impact-summary","2026-06-29 12:57:28",{"title":5895,"description":40},{"loc":5951},"357649c737150a2a","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.27443","summaries\u002F357649c737150a2a-personality-prompting-in-multi-agent-teams-impact-summary",[5959,73,74,75],"agents","Personality manipulation in LLM agents significantly alters communication style but only degrades performance in open-ended or competitive tasks, while having negligible impact on structured coding tasks.",[],"qXTczQ8IPrPY39a0T5qm6VvT5Q5QtEINj17Z7Vpuf28",{"id":5964,"title":5965,"ai":5966,"body":5971,"categories":6070,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":6071,"navigation":63,"path":6079,"published_at":6080,"question":48,"scraped_at":6080,"seo":6081,"sitemap":6082,"source_id":6083,"source_name":69,"source_type":70,"source_url":6084,"stem":6085,"tags":6086,"thumbnail_url":48,"tldr":6088,"tweet":48,"unknown_tags":6089,"__hash__":6090},"summaries\u002Fsummaries\u002F328f528049a00df7-improving-llm-ethical-reasoning-with-narration-of-summary.md","Improving LLM Ethical Reasoning with Narration-of-Thought",{"provider":7,"model":8,"input_tokens":5967,"output_tokens":5968,"processing_time_ms":5969,"cost_usd":5970},6155,567,2855,0.00238925,{"type":14,"value":5972,"toc":6065},[5973,5977,5980,5994,5998,6001,6034,6037,6041,6044,6062],[17,5974,5976],{"id":5975},"the-problem-ethical-reasoning-failure-modes","The Problem: Ethical Reasoning Failure Modes",[22,5978,5979],{},"Standard chain-of-thought (CoT) prompting often fails in moral dilemmas due to two primary issues:",[5918,5981,5982,5988],{},[5921,5983,5984,5987],{},[5924,5985,5986],{},"Stakeholder Collapse:"," The model fails to identify multiple parties affected by a decision, often focusing on only one.",[5921,5989,5990,5993],{},[5924,5991,5992],{},"Uncertainty Suppression:"," The model commits to a decision without acknowledging potential unknowns or hedging, leading to overconfident and potentially harmful outputs.",[17,5995,5997],{"id":5996},"the-solution-narration-of-thought-not","The Solution: Narration-of-Thought (NoT)",[22,5999,6000],{},"Narration-of-Thought is a system prompt that structures the reasoning process into five mandatory sections:",[6002,6003,6004,6010,6016,6022,6028],"ol",{},[5921,6005,6006,6009],{},[5924,6007,6008],{},"Protagonist:"," Defining the actor.",[5921,6011,6012,6015],{},[5924,6013,6014],{},"Stakeholders:"," Explicitly listing all affected parties.",[5921,6017,6018,6021],{},[5924,6019,6020],{},"Two-step consequences:"," Mapping out potential outcomes.",[5921,6023,6024,6027],{},[5924,6025,6026],{},"Uncertainty:"," Identifying what is unknown or ambiguous.",[5921,6029,6030,6033],{},[5924,6031,6032],{},"Commitment:"," Making the final decision based on the previous steps.",[22,6035,6036],{},"This approach requires no fine-tuning or additional parameters, relying entirely on inference-time scaffolding. By forcing the model to externalize these components, the reasoning becomes auditable and more robust.",[17,6038,6040],{"id":6039},"impact-and-performance","Impact and Performance",[22,6042,6043],{},"Testing across 100 scenarios with four different model generators showed significant improvements:",[5918,6045,6046,6051,6056],{},[5921,6047,6048,6050],{},[5924,6049,5986],{}," Reduced from up to 31% to under 1%.",[5921,6052,6053,6055],{},[5924,6054,5992],{}," Reduced from up to 72% to between 1% and 24%.",[5921,6057,6058,6061],{},[5924,6059,6060],{},"Debate Protocol:"," When extended to a five-round multi-stakeholder debate, the scaffold converted a 6% standoff rate into 95% full consensus on calibration sets, demonstrating that the structure helps models converge on more nuanced, agreed-upon ethical positions.",[22,6063,6064],{},"The authors confirmed that these gains are due to the structural instructions rather than simply increasing token count, as a matched-budget verbose-CoT control group did not achieve similar results.",{"title":40,"searchDepth":41,"depth":41,"links":6066},[6067,6068,6069],{"id":5975,"depth":41,"text":5976},{"id":5996,"depth":41,"text":5997},{"id":6039,"depth":41,"text":6040},[47],{"content_references":6072,"triage":6076},[6073],{"type":5812,"title":6074,"author":6075,"context":5818},"DailyDilemmas","Unknown",{"relevance":59,"novelty":60,"quality":60,"actionability":5820,"composite":6077,"reasoning":6078},4.15,"Category: AI & LLMs. The article presents a novel approach to improving ethical reasoning in LLMs through a structured prompting method, addressing a critical issue in AI development. It provides specific metrics demonstrating the effectiveness of the Narration-of-Thought approach, which can inform developers looking to enhance AI decision-making processes.","\u002Fsummaries\u002F328f528049a00df7-improving-llm-ethical-reasoning-with-narration-of-summary","2026-06-26 12:58:20",{"title":5965,"description":40},{"loc":6079},"328f528049a00df7","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.26366","summaries\u002F328f528049a00df7-improving-llm-ethical-reasoning-with-narration-of-summary",[73,74,6087,75],"ai-tools","Narration-of-Thought (NoT) is an inference-time prompting scaffold that forces LLMs to explicitly identify stakeholders and uncertainties before committing to a decision, significantly reducing common ethical reasoning failures.",[],"v9VDSWCDg-4d9q5BcsBRjqO7uLlWAPnixSaiF3_weMU"]