[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-gpt-image-2-masters-hidden-details-in-waldo-tests-summary":3,"summaries-facets-categories":178,"summary-related-gpt-image-2-masters-hidden-details-in-waldo-tests-summary":4583},{"id":4,"title":5,"ai":6,"body":13,"categories":134,"created_at":136,"date_modified":136,"description":46,"extension":137,"faq":136,"featured":138,"kicker_label":136,"meta":139,"navigation":161,"path":162,"published_at":163,"question":136,"scraped_at":163,"seo":164,"sitemap":165,"source_id":166,"source_name":167,"source_type":168,"source_url":169,"stem":170,"tags":171,"thumbnail_url":136,"tldr":175,"tweet":136,"unknown_tags":176,"__hash__":177},"summaries\u002Fsummaries\u002Fgpt-image-2-masters-hidden-details-in-waldo-tests-summary.md","gpt-image-2 Masters Hidden Details in Waldo Tests",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",5484,1720,13047,0.00144995,{"type":14,"value":15,"toc":129},"minimark",[16,21,30,33,37,40,115,118,122,125],[17,18,20],"h2",{"id":19},"high-res-boosts-detail-fidelity","High-Res Boosts Detail Fidelity",[22,23,24,25,29],"p",{},"Use gpt-image-2 with ",[26,27,28],"code",{},"--quality high --size 3840x2160"," for complex scenes requiring fine details and integrated text. This produces a 17MB PNG (compressible to 5MB WEBP) where a raccoon holding a ham radio appears clearly bottom-left in a crowded fairground—absent in standard resolution outputs. Lower-res or older gpt-image-1 fails entirely, as no raccoon is discernible even with Claude Opus 4.7 analysis. Google's Nano Banana 2 places it obviously in a central booth, but lacks gpt-image-2's subtlety and quality.",[22,31,32],{},"Prompt precisely: \"Do a where's Waldo style image but it's where is the raccoon holding a ham radio.\" Where's Waldo tests expose limits in handling occlusion, text rendering (e.g., booth signs), and dense compositions—ideal for evaluating production-ready illustration capabilities.",[17,34,36],{"id":35},"script-for-reliable-generation","Script for Reliable Generation",[22,38,39],{},"Wrap OpenAI's Python client in a script like openai_image.py to access gpt-image-2 pre-official SDK support:",[41,42,47],"pre",{"className":43,"code":44,"language":45,"meta":46,"style":46},"language-shell shiki shiki-themes github-light github-dark","OPENAI_API_KEY=\"$(llm keys get openai)\" \\\n  uv run https:\u002F\u002Ftools.simonwillison.net\u002Fpython\u002Fopenai_image.py \\\n  -m gpt-image-2 \"prompt\" --quality high --size 3840x2160\n","shell","",[26,48,49,76,91],{"__ignoreMap":46},[50,51,54,58,62,66,70,73],"span",{"class":52,"line":53},"line",1,[50,55,57],{"class":56},"sVt8B","OPENAI_API_KEY",[50,59,61],{"class":60},"szBVR","=",[50,63,65],{"class":64},"sZZnC","\"$(",[50,67,69],{"class":68},"sScJk","llm",[50,71,72],{"class":64}," keys get openai)\"",[50,74,75],{"class":68}," \\\n",[50,77,79,82,85,88],{"class":52,"line":78},2,[50,80,81],{"class":64},"  uv",[50,83,84],{"class":64}," run",[50,86,87],{"class":64}," https:\u002F\u002Ftools.simonwillison.net\u002Fpython\u002Fopenai_image.py",[50,89,75],{"class":90},"sj4cs",[50,92,94,97,100,103,106,109,112],{"class":52,"line":93},3,[50,95,96],{"class":90},"  -m",[50,98,99],{"class":64}," gpt-image-2",[50,101,102],{"class":64}," \"prompt\"",[50,104,105],{"class":90}," --quality",[50,107,108],{"class":64}," high",[50,110,111],{"class":90}," --size",[50,113,114],{"class":64}," 3840x2160\n",[22,116,117],{},"Costs 13,342 output tokens at $30\u002Fmillion (~40 cents). Reference OpenAI's cookbook for outputQuality and sizes. Nano Banana Pro via AI Studio yields poor results, reinforcing model-specific trade-offs.",[17,119,121],{"id":120},"hallucination-risks-in-self-analysis","Hallucination Risks in Self-Analysis",[22,123,124],{},"Don't trust generated models to locate elements in their own images—ChatGPT circled a nonexistent raccoon, proving unreliability for puzzle-solving. This underscores separating generation from verification: use external models like Claude for spotting, but expect failures on ambiguous prompts due to top-left instruction cards mimicking scene elements.",[126,127,128],"style",{},"html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":46,"searchDepth":78,"depth":78,"links":130},[131,132,133],{"id":19,"depth":78,"text":20},{"id":35,"depth":78,"text":36},{"id":120,"depth":78,"text":121},[135],"AI & LLMs",null,"md",false,{"content_references":140,"triage":156},[141,146,149,153],{"type":142,"title":143,"url":144,"context":145},"other","Introducing ChatGPT Images 2.0","https:\u002F\u002Fopenai.com\u002Findex\u002Fintroducing-chatgpt-images-2-0\u002F","mentioned",{"type":142,"title":147,"url":148,"context":145},"livestream","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=sWkGomJ3TLI",{"type":150,"title":151,"url":152,"context":145},"tool","openai_image.py","https:\u002F\u002Fgithub.com\u002Fsimonw\u002Ftools\u002Fblob\u002Fmain\u002Fpython\u002Fopenai_image.py",{"type":142,"title":154,"url":155,"context":145},"OpenAI image generation cookbook","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-cookbook\u002Fblob\u002Fmain\u002Fexamples\u002Fmultimodal\u002Fimage-gen-models-prompting-guide.ipynb",{"relevance":157,"novelty":93,"quality":158,"actionability":158,"composite":159,"reasoning":160},5,4,4.15,"Category: AI & LLMs. The article provides practical insights into using OpenAI's gpt-image-2 for generating detailed images, addressing the audience's need for actionable content on AI integration. It includes specific prompts and a script for implementation, making it highly relevant for developers looking to build AI-powered features.",true,"\u002Fsummaries\u002Fgpt-image-2-masters-hidden-details-in-waldo-tests-summary","2026-04-26 17:23:17",{"title":5,"description":46},{"loc":162},"532eb9ce9f6dc0b9","Simon Willison's Weblog","article","https:\u002F\u002Fsimonwillison.net\u002F2026\u002FApr\u002F21\u002Fgpt-image-2\u002F#atom-everything","summaries\u002Fgpt-image-2-masters-hidden-details-in-waldo-tests-summary",[69,172,173,174],"generative-ai","text-to-image","openai","OpenAI's gpt-image-2 generates detailed Where's Waldo scenes with hidden raccoon holding ham radio only at high quality (3840x2160), outperforming Gemini's Nano Banana 2, at 40 cents per 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Beats Doctors 67% to 50-55% in ER Triage Study",{"provider":7,"model":8,"input_tokens":4588,"output_tokens":4589,"processing_time_ms":4590,"cost_usd":4591},9200,2938,30868,0.00328635,{"type":14,"value":4593,"toc":4617},[4594,4597,4601,4604,4607,4611,4614],[22,4595,4596],{},"This TechCrunch article reports on a thin but headline-grabbing Harvard study testing LLMs on medical diagnosis, highlighting AI's edge in low-information scenarios while stressing major gaps for production use.",[17,4598,4600],{"id":4599},"raw-emr-data-reveals-o1s-triage-superiority","Raw EMR Data Reveals o1's Triage Superiority",[22,4602,4603],{},"Researchers from Harvard Medical School and Beth Israel Deaconess Medical Center fed OpenAI's o1 and 4o models the exact text from electronic medical records (EMR) of 76 real ER patients—no preprocessing. Two independent attending physicians blindly evaluated diagnoses from the models against those from two internal medicine attending physicians at multiple touchpoints.",[22,4605,4606],{},"o1 matched or exceeded physicians overall, with the gap widest at initial triage (least data, highest urgency): o1 hit exact or very close diagnoses in 67% of cases, vs. 55% for one physician and 50% for the other. Lead author Arjun Manrai stated o1 'eclipsed both prior models and our physician baselines' across benchmarks. Use this to prioritize reasoning-focused models like o1 for data-sparse diagnostic pipelines, but only as a triage aid.",[17,4608,4610],{"id":4609},"text-only-wins-demand-real-world-trials-and-specialist-baselines","Text-Only Wins Demand Real-World Trials and Specialist Baselines",[22,4612,4613],{},"The study limits scope to text inputs, noting foundation models struggle with images or other non-text data. Authors call for 'prospective trials' before ER deployment, as no accountability framework exists for AI decisions. Co-author Adam Rodman emphasized humans must guide life-or-death choices.",[22,4615,4616],{},"Critic Kristen Panthagani, an ER physician, called headlines overhyped: internal medicine doctors aren't ER specialists, whose goal is first ruling out killers, not final diagnosis. Comparing LLMs to mismatched specialties (e.g., dermatologist on neurosurgery) yields unhelpful results. Builders: Benchmark AI against domain experts and integrate as a 'second opinion' tool to catch oversights without replacing clinicians.",{"title":46,"searchDepth":78,"depth":78,"links":4618},[4619,4620],{"id":4599,"depth":78,"text":4600},{"id":4609,"depth":78,"text":4610},[186],{"content_references":4623,"triage":4634},[4624,4628,4631],{"type":142,"title":4625,"url":4626,"context":4627},"Study suggests AI good enough for diagnosing complex medical cases to warrant clinical testing","https:\u002F\u002Fhms.harvard.edu\u002Fnews\u002Fstudy-suggests-ai-good-enough-diagnosing-complex-medical-cases-warrant-clinical-testing","cited",{"type":142,"title":4629,"url":4630,"context":145},"AI outperforms doctors in Harvard trial of emergency triage diagnoses","https:\u002F\u002Fwww.theguardian.com\u002Ftechnology\u002F2026\u002Fapr\u002F30\u002Fai-outperforms-doctors-in-harvard-trial-of-emergency-triage-diagnoses",{"type":142,"title":4632,"url":4633,"context":145},"Did AI really beat ER doctors at ER triage?","https:\u002F\u002Fwww.youcanknowthings.com\u002Fdid-ai-really-beat-er-doctors-at-er-triage\u002F",{"relevance":93,"novelty":93,"quality":158,"actionability":93,"composite":4635,"reasoning":4636},3.25,"Category: AI & LLMs. The article discusses a study comparing an AI model's performance in medical triage to that of physicians, which is relevant to AI applications in healthcare. While it provides some insights into the model's performance, it lacks detailed actionable steps for product builders looking to implement similar AI solutions.","\u002Fsummaries\u002Fo1-beats-doctors-67-to-50-55-in-er-triage-study-summary","2026-05-03 18:00:09","2026-05-04 16:13:39",{"title":4586,"description":4596},{"loc":4637},"26e4ee5c1fe59aa1","TechCrunch AI","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F05\u002F03\u002Fin-harvard-study-ai-offered-more-accurate-diagnoses-than-emergency-room-doctors\u002F","summaries\u002Fo1-beats-doctors-67-to-50-55-in-er-triage-study-summary",[69,174],"OpenAI's o1 model delivered exact or near-exact diagnoses in 67% of 76 real ER triage cases using raw EMR data, outperforming two internal medicine physicians at 55% and 50%, though ER specialists and real-world trials are needed.",[174],"dm3WHEQtEViqQY4vNa31asmpBKtimAnf0rdeayFjOnY",{"id":4651,"title":4652,"ai":4653,"body":4658,"categories":4689,"created_at":136,"date_modified":136,"description":4690,"extension":137,"faq":136,"featured":138,"kicker_label":136,"meta":4691,"navigation":161,"path":4692,"published_at":4693,"question":136,"scraped_at":4694,"seo":4695,"sitemap":4696,"source_id":4697,"source_name":4698,"source_type":4699,"source_url":4700,"stem":4701,"tags":4702,"thumbnail_url":136,"tldr":4704,"tweet":136,"unknown_tags":4705,"__hash__":4706},"summaries\u002Fsummaries\u002Fmicrosoft-s-mai-models-60x-faster-enterprise-scale-summary.md","Microsoft's MAI Models: 60x Faster, Enterprise Scale",{"provider":7,"model":8,"input_tokens":4654,"output_tokens":4655,"processing_time_ms":4656,"cost_usd":4657},5816,1641,13288,0.00196105,{"type":14,"value":4659,"toc":4684},[4660,4664,4667,4670,4674,4677,4681],[17,4661,4663],{"id":4662},"mai-models-deliver-superior-speed-accuracy-and-real-world-performance","MAI Models Deliver Superior Speed, Accuracy, and Real-World Performance",[22,4665,4666],{},"Microsoft's MAI-Transcribe-1 speech-to-text model achieves 3.8% word error rate (WER) on the FLEURS benchmark across 25 languages, beating OpenAI's Whisper Large V3 on all 25, Gemini 3.1 Flash on 22\u002F25, and others like ElevenLabs Scribe V2. It handles noisy real-world audio (streets, kids, low-quality recordings) via transformer-based decoder and bidirectional audio encoder, supporting MP3\u002FWAV\u002FFLAC up to 200MB. Runs 2.5x faster than prior Azure system. MAI-Voice-1 text-to-speech generates 60 seconds of audio in 1 second (60x real-time), preserves speaker identity over long-form content, and creates custom voices from seconds of audio—ideal for Copilot podcasts. MAI-Image-2 ranks top 3 on Arena.AI leaderboard, generates 2x faster than prior version for drafts\u002Fcampaigns, used by WPP for enterprise creative production.",[22,4668,4669],{},"These models, built by ~10-person teams emphasizing architecture\u002Fdata over compute, run on half the GPUs of competitors, slashing infrastructure costs for scaling in Teams\u002FCopilot\u002FBing\u002FPowerPoint.",[17,4671,4673],{"id":4672},"aggressive-pricing-targets-hyperscaler-dominance","Aggressive Pricing Targets Hyperscaler Dominance",[22,4675,4676],{},"Pricing undercuts rivals: Transcribe-1 at $0.36\u002Fhour; Voice-1 at $22\u002F1M characters; Image-2 at $5\u002F1M text input tokens and $33\u002F1M image output tokens. Mustafa Suleyman states intent to be cheaper than Google\u002FAmazon, enabling high-margin revenue from APIs while reducing internal costs amid investor pressure (Microsoft's worst quarter since 2008). This supports enterprise workloads without bottlenecks, tying directly to productivity gains like faster transcription\u002Fvoice\u002Fimage for millions of businesses.",[17,4678,4680],{"id":4679},"dual-strategy-platform-of-platforms-meets-self-sufficiency","Dual Strategy: Platform of Platforms Meets Self-Sufficiency",[22,4682,4683],{},"Post-2025 OpenAI contract renegotiation (originally barred frontier models until 2032), Microsoft builds full-stack independence—hosting OpenAI\u002FAnthropic while rolling out MAI via Foundry\u002FAzure. Suleyman's superintelligence team (formed late 2025) uses flat, startup-style collaboration for 'humanist AI' (safety\u002Falignment\u002Fclean licensed data for regulated industries). Long-term: frontier LLMs across modalities, own GPU infra. Despite Copilot's 'entertainment only' disclaimer (to update), models integrate deeply for real workflows, defining superintelligence as scalable product value—not abstraction—while cautioning on reliability amid industry trust tensions.",{"title":46,"searchDepth":78,"depth":78,"links":4685},[4686,4687,4688],{"id":4662,"depth":78,"text":4663},{"id":4672,"depth":78,"text":4673},{"id":4679,"depth":78,"text":4680},[186],"Microsoft just launched MAI-Transcribe-1, MAI-Voice-1, and MAI-Image-2, though this story goes way beyond 3 new models. The bigger shift is that Microsoft is starting to look like a real AI model builder, not just OpenAI’s biggest partner. With faster performance, lower pricing, rollout across Copilot, Bing, PowerPoint, and Foundry, plus a clear push toward long-term AI self-sufficiency, this is one of the strongest signals yet that Microsoft wants full control of its AI future.\n\n📩 Brand Deals & Partnerships: collabs@nouralabs.com\n✉ General Inquiries: airevolutionofficial@gmail.com\n\n🧠 What You’ll See\nMicrosoft MAI-Transcribe-1 Speech Model\nSOURCE: https:\u002F\u002Fmicrosoft.ai\u002Fnews\u002Fstate-of-the-art-speech-recognition-with-mai-transcribe-1\u002F\nMicrosoft MAI-Voice-1 Text To Speech Model\nSOURCE: https:\u002F\u002Fai.azure.com\u002Fcatalog\u002Fmodels\u002FMAI-Voice-1\nMicrosoft MAI-Image-2 Image Generation Model\nSOURCE: https:\u002F\u002Fmicrosoft.ai\u002Fnews\u002Ftoday-were-announcing-3-new-world-class-mai-models-available-in-foundry\u002F\nMicrosoft Pushes Beyond OpenAI With In House AI\nSOURCE: https:\u002F\u002Fwww.businessinsider.com\u002Fmicrosoft-ai-models-azure-mai-transcribe-voice-image-foundry-openai-2026-4\nMicrosoft AI Strategy And Superintelligence Push\nSOURCE: https:\u002F\u002Fwww.theverge.com\u002Freport\u002F905791\u002Fmustafa-suleyman-microsoft-ai-transcription-model\n\n🚨 Why It Matters\nMicrosoft is now attacking AI from every angle at once: cost, speed, enterprise scale, product integration, and long-term independence from OpenAI. The company is building its own models while still hosting competitors, which creates a powerful platform strategy, though it also highlights the broader industry tension around trust and reliability as AI moves deeper into real workflows.\n\n#ai #microsoft #openai",{},"\u002Fsummaries\u002Fmicrosoft-s-mai-models-60x-faster-enterprise-scale-summary","2026-04-06 22:15:37","2026-04-08 14:50:45",{"title":4652,"description":4690},{"loc":4692},"ed00d2cfbf3e0f36","AI Revolution","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=tDW6VoyWWqo","summaries\u002Fmicrosoft-s-mai-models-60x-faster-enterprise-scale-summary",[69,4703,174],"ai-tools","Microsoft's in-house MAI-Transcribe-1, Voice-1, and Image-2 outperform rivals on benchmarks with 60x real-time speed, half the GPUs, and undercut pricing, signaling full AI independence from OpenAI.",[174],"v7leXkkX50vws9C_wXAd9NuXH9k6y-pinOoaIXf8iak",{"id":4708,"title":4709,"ai":4710,"body":4715,"categories":4815,"created_at":136,"date_modified":136,"description":46,"extension":137,"faq":136,"featured":138,"kicker_label":136,"meta":4816,"navigation":161,"path":4837,"published_at":4838,"question":136,"scraped_at":4838,"seo":4839,"sitemap":4840,"source_id":4841,"source_name":167,"source_type":168,"source_url":4842,"stem":4843,"tags":4844,"thumbnail_url":136,"tldr":4846,"tweet":136,"unknown_tags":4847,"__hash__":4848},"summaries\u002Fsummaries\u002Faccess-gpt-5-5-via-codex-subscription-api-plugin-summary.md","Access GPT-5.5 via Codex Subscription API Plugin",{"provider":7,"model":8,"input_tokens":4711,"output_tokens":4712,"processing_time_ms":4713,"cost_usd":4714},5885,2169,13967,0.00223885,{"type":14,"value":4716,"toc":4809},[4717,4721,4724,4727,4731,4734,4756,4775,4779,4799,4802,4806],[17,4718,4720],{"id":4719},"exploit-codex-backdoor-for-gpt-55-api-access","Exploit Codex Backdoor for GPT-5.5 API Access",[22,4722,4723],{},"OpenAI released GPT-5.5 to Codex and ChatGPT subscribers but delayed the official API due to safety requirements. Use the semi-official Codex endpoints—originally for their open-source Codex CLI—to access it via subscriptions. OpenAI endorses this for tools like OpenClaw, JetBrains, and Pi, as confirmed by exec Romain Huet and OpenClaw creator Peter Steinberger. Install Codex CLI, log in with your paid OpenAI plan ($20+\u002Fmonth), and the auth tokens enable API calls at subscription rates, cheaper than raw API pricing.",[22,4725,4726],{},"This bypasses ChatGPT's hidden system prompts, ideal for benchmarks. Simon Willison had Claude Code reverse-engineer the openai\u002Fcodex repo to build llm-openai-via-codex, a plugin for the LLM CLI tool.",[17,4728,4730],{"id":4729},"quick-setup-and-full-llm-features","Quick Setup and Full LLM Features",[22,4732,4733],{},"Run these steps to prompt GPT-5.5:",[4735,4736,4737,4741,4746,4751],"ol",{},[4738,4739,4740],"li",{},"Install Codex CLI and log in with your OpenAI subscription.",[4738,4742,4743],{},[26,4744,4745],{},"uv tool install llm",[4738,4747,4748],{},[26,4749,4750],{},"llm install llm-openai-via-codex",[4738,4752,4753],{},[26,4754,4755],{},"llm -m openai-codex\u002Fgpt-5.5 'prompt'",[22,4757,4758,4759,4762,4763,4766,4767,4770,4771,4774],{},"Supports images (",[26,4760,4761],{},"-a filepath.jpg","), chats (",[26,4764,4765],{},"llm chat -m openai-codex\u002Fgpt-5.5","), logs (",[26,4768,4769],{},"llm logs","), and tools (",[26,4772,4773],{},"llm --tool","). Model alias: openai-codex\u002Fgpt-5.5.",[17,4776,4778],{"id":4777},"pelican-benchmark-reveals-reasoning-gains","Pelican Benchmark Reveals Reasoning Gains",[22,4780,4781,4782,4789,4790,4793,4794,4798],{},"Prompt: 'Generate an SVG of a pelican riding a bicycle.' Default output used 39 reasoning tokens, producing a mangled bike frame and odd body (view ",[4783,4784,4788],"a",{"href":4785,"rel":4786},"https:\u002F\u002Fgist.github.com\u002Fsimonw\u002Fedda1d98f7ba07fd95eeff473cb16634",[4787],"nofollow","SVG","). Add ",[26,4791,4792],{},"-o reasoning_effort xhigh"," for 9,322 tokens and 4 minutes: results in CSS gradients, better-proportioned body, improved bike (one extra bar), superior overall (",[4783,4795,4788],{"href":4796,"rel":4797},"https:\u002F\u002Fgist.github.com\u002Fsimonw\u002Fa6168e4165a258e4d664aeae8e602cc5#response",[4787],"). xhigh shifts to CSS-heavy code vs. default paths, showing escalated reasoning trades speed for quality.",[22,4800,4801],{},"GPT-5.5 excels at building requested features but shows jagged frontier—strong in some tasks, unpredictable elsewhere (per Ethan Mollick's tests).",[17,4803,4805],{"id":4804},"pricing-trade-offs-favor-subscriptions","Pricing Trade-offs Favor Subscriptions",[22,4807,4808],{},"API pricing (upcoming): GPT-5.5 at $5\u002F1M input, $30\u002F1M output—double GPT-5.4's $2.5\u002F$15. Pro version: $30\u002F$180. Subscriptions via Codex offer discounted access now. Keep GPT-5.4 for cost-sensitive tasks, like Sonnet to Opus.",{"title":46,"searchDepth":78,"depth":78,"links":4810},[4811,4812,4813,4814],{"id":4719,"depth":78,"text":4720},{"id":4729,"depth":78,"text":4730},{"id":4777,"depth":78,"text":4778},{"id":4804,"depth":78,"text":4805},[],{"content_references":4817,"triage":4835},[4818,4822,4825,4828,4831],{"type":150,"title":4819,"url":4820,"context":4821},"llm-openai-via-codex","https:\u002F\u002Fgithub.com\u002Fsimonw\u002Fllm-openai-via-codex","recommended",{"type":150,"title":4823,"url":4824,"context":145},"LLM","https:\u002F\u002Fllm.datasette.io\u002F",{"type":150,"title":4826,"url":4827,"context":145},"Codex CLI","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fcodex",{"type":142,"title":4829,"url":4830,"context":4627},"Introducing GPT-5.5","https:\u002F\u002Fopenai.com\u002Findex\u002Fintroducing-gpt-5-5\u002F",{"type":142,"title":4832,"author":4833,"url":4834,"context":4821},"Sign of the Future: GPT-5.5","Ethan Mollick","https:\u002F\u002Fwww.oneusefulthing.org\u002Fp\u002Fsign-of-the-future-gpt-55",{"relevance":157,"novelty":93,"quality":158,"actionability":158,"composite":159,"reasoning":4836},"Category: AI & LLMs. The article provides a practical guide on accessing GPT-5.5 via the Codex API, addressing a specific pain point for developers looking to integrate AI features into their products. It includes step-by-step instructions for installation and usage, making it actionable for the target audience.","\u002Fsummaries\u002Faccess-gpt-5-5-via-codex-subscription-api-plugin-summary","2026-04-26 17:23:15",{"title":4709,"description":46},{"loc":4837},"b131fca15153f793","https:\u002F\u002Fsimonwillison.net\u002F2026\u002FApr\u002F23\u002Fgpt-5-5\u002F#atom-everything","summaries\u002Faccess-gpt-5-5-via-codex-subscription-api-plugin-summary",[69,4703,174,4845],"gpt","Install llm-openai-via-codex to run GPT-5.5 prompts against your ChatGPT\u002FCodex subscription, avoiding the unavailable official API. Generates detailed SVGs like pelicans on bikes with high reasoning effort.",[174,4845],"ZLPkPGiRUx8P1YTNfZtKSG2zPGLwpoNa4NKjzBsgMYg",{"id":4850,"title":4851,"ai":4852,"body":4857,"categories":4897,"created_at":136,"date_modified":136,"description":46,"extension":137,"faq":136,"featured":138,"kicker_label":136,"meta":4898,"navigation":161,"path":4914,"published_at":4915,"question":136,"scraped_at":4916,"seo":4917,"sitemap":4918,"source_id":4919,"source_name":4920,"source_type":168,"source_url":4921,"stem":4922,"tags":4923,"thumbnail_url":136,"tldr":4924,"tweet":136,"unknown_tags":4925,"__hash__":4926},"summaries\u002Fsummaries\u002Fmemento-llm-self-notes-slash-kv-cache-3x-summary.md","MEMENTO: LLM Self-Notes Slash KV Cache 3x",{"provider":7,"model":8,"input_tokens":4853,"output_tokens":4854,"processing_time_ms":4855,"cost_usd":4856},3943,2865,17227,0.00171425,{"type":14,"value":4858,"toc":4892},[4859,4863,4866,4869,4873,4876,4879,4882,4886,4889],[17,4860,4862],{"id":4861},"kv-cache-bloats-reasoning-costs-linearly","KV Cache Bloats Reasoning Costs Linearly",[22,4864,4865],{},"Reasoning LLMs like OpenAI's o1 and DeepSeek-R1 generate 10,000+ tokens of intermediate thinking per hard problem, keeping every token in the KV cache. This working memory grows linearly with output length, choking GPUs: a single competition math problem on Qwen3-8B hits 10,000+ tokens and ~2.5GB KV cache. Deploying these models at scale fails because dead-end explorations and redundant calculations linger indefinitely, spiking inference costs and limiting batch sizes.",[22,4867,4868],{},"Builders hit walls shipping long-context reasoners—memory exhausts before answers emerge. Standard caching retains full history for attention, but humans solve by noting key results and discarding scratch work.",[17,4870,4872],{"id":4871},"teach-models-to-chunk-summarize-and-forget","Teach Models to Chunk, Summarize, and Forget",[22,4874,4875],{},"MEMENTO replicates human note-taking: split reasoning into chunks, compress each into a compact 'memento' (special tokens capturing essence), then discard original verbose tokens. The model attends only to the chain of mementos for subsequent steps, shrinking active context dramatically.",[22,4877,4878],{},"Core technique uses a custom attention pattern: during generation, produce reasoning chunk → auto-generate memento summary → evict prior tokens except memento → repeat. Mementos act as compressed KV states, preserving critical state without full traces. Training leverages a synthetic data pipeline: chunk existing reasoning traces, distill summaries via self-supervision, fine-tune to predict answers using memento-only history.",[22,4880,4881],{},"This drops KV cache to 1\u002F3 original size. On Qwen2.5-7B, a typical problem shrinks from 18.6GB to 6.2GB. No prompt hacks needed—baked into model weights for plug-and-play inference.",[17,4883,4885],{"id":4884},"benchmarks-confirm-speedups-without-accuracy-hits","Benchmarks Confirm Speedups Without Accuracy Hits",[22,4887,4888],{},"Across model families, MEMENTO holds AIME, MATH, GPQA scores steady while compressing traces 3x. Smaller models like 7B-8B now handle competition-level math that previously OOM'd. Trade-off: extra training compute upfront (synthetic distillation), but inference wins big for production—lower latency, bigger batches, cheaper scaling.",[22,4890,4891],{},"For AI product builders, retrofit via LoRA on open reasoners like Qwen: expect 70% memory savings on long CoT tasks, enabling edge deployment or high-throughput APIs without quantization hacks.",{"title":46,"searchDepth":78,"depth":78,"links":4893},[4894,4895,4896],{"id":4861,"depth":78,"text":4862},{"id":4871,"depth":78,"text":4872},{"id":4884,"depth":78,"text":4885},[135],{"content_references":4899,"triage":4912},[4900,4903,4906,4909],{"type":150,"title":4901,"author":4902,"context":145},"o1","OpenAI",{"type":150,"title":4904,"author":4905,"context":145},"DeepSeek-R1","DeepSeek",{"type":150,"title":4907,"author":4908,"context":145},"Qwen3-8B","Qwen",{"type":142,"title":4910,"author":4911,"context":4627},"MEMENTO","Microsoft Research",{"relevance":157,"novelty":158,"quality":158,"actionability":93,"composite":159,"reasoning":4913},"Category: AI & LLMs. The article provides a detailed explanation of Microsoft's MEMENTO technique for optimizing reasoning LLMs, addressing a specific pain point of memory management in AI models. It offers insights into a novel approach that could be directly applicable for developers looking to improve AI model efficiency.","\u002Fsummaries\u002Fmemento-llm-self-notes-slash-kv-cache-3x-summary","2026-04-16 00:01:02","2026-04-16 03:18:49",{"title":4851,"description":46},{"loc":4914},"996799bd48044060","Towards AI","https:\u002F\u002Fpub.towardsai.net\u002Fmicrosofts-new-method-cuts-reasoning-model-memory-by-3x-here-s-how-it-actually-works-5184fe3a91f8?source=rss----98111c9905da---4","summaries\u002Fmemento-llm-self-notes-slash-kv-cache-3x-summary",[69],"Microsoft's MEMENTO trains reasoning LLMs to generate concise 'mementos' summarizing thinking chunks, discarding verbose tokens to cut KV cache memory by 3x—from 2.5GB to under 1GB per problem—while matching benchmark scores.",[],"dGKJDHPXgpWzHeWtdZu61sAETq0UgRL_HIl16Xesn5E"]