[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-ai-security-moat-system-beats-model-size-summary":3,"summaries-facets-categories":170,"summary-related-ai-security-moat-system-beats-model-size-summary":4575},{"id":4,"title":5,"ai":6,"body":13,"categories":120,"created_at":122,"date_modified":122,"description":113,"extension":123,"faq":122,"featured":124,"kicker_label":122,"meta":125,"navigation":152,"path":153,"published_at":154,"question":122,"scraped_at":154,"seo":155,"sitemap":156,"source_id":157,"source_name":158,"source_type":159,"source_url":160,"stem":161,"tags":162,"thumbnail_url":122,"tldr":167,"tweet":122,"unknown_tags":168,"__hash__":169},"summaries\u002Fsummaries\u002Fai-security-moat-system-beats-model-size-summary.md","AI Security Moat: System Beats Model Size",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",9220,2681,26386,0.003162,{"type":14,"value":15,"toc":112},"minimark",[16,21,25,28,34,37,41,44,51,54,59,62,66,69,72,77,80,84],[17,18,20],"h2",{"id":19},"jagged-capabilities-defy-smooth-scaling","Jagged Capabilities Defy Smooth Scaling",[22,23,24],"p",{},"AI cybersecurity doesn't improve predictably with model size, price, or generation. Small open-weights models like GPT-OSS-20b (3.6B active params, $0.11\u002FM tokens) and GPT-OSS-120b (5.1B active) detected all eight tested models on FreeBSD NFS buffer overflow (CVE-2026-4747), computing exact overflow sizes (96-312 bytes) and assessing as critical RCE (CVSS 9.8). On OpenBSD's 27-year-old SACK bug, GPT-OSS-120b recovered the full chain: missing lower bound validation, SEQ_LT\u002FSEQ_GT signed overflow at ~2^31, NULL deref after hole deletion. Yet the same Qwen3 32B model aced FreeBSD CVSS but called OpenBSD \"robust.\"",[22,26,27],{},"Inverse scaling hit false-positive triage: small models like DeepSeek R1 and GPT-OSS-20b correctly traced OWASP Java servlet data flow—user input discarded by remove(0), bar=\"moresafe\", no SQLi—while frontier Claude Sonnet 4.5 and most GPT-4\u002F5 failed, claiming \"param → this is returned!\" Rankings reshuffled: no model topped all tasks.",[29,30,31],"blockquote",{},[22,32,33],{},"\"The capability frontier is jagged.\" – Stanislav Fort, summarizing why there's \"no stable best model for cybersecurity,\" as small models outperform frontiers on triage but lag on subtle math.",[22,35,36],{},"Post-fix specificity exposed gaps: all models detected unpatched FreeBSD 3\u002F3 runs, but only GPT-OSS-120b cleared patched code 3\u002F3; others false-positived, inventing signed bypasses on unsigned oa_length.",[17,38,40],{"id":39},"modular-pipeline-exposes-uneven-demands","Modular Pipeline Exposes Uneven Demands",[22,42,43],{},"Mythos blends tasks into one capability, but reality splits into scanning (codebase navigation), detection, triage\u002Fverification, patching, exploitation—each scaling differently. Broad scanning favors cheap models' volume: \"A thousand adequate detectives searching everywhere will find more bugs than one brilliant detective who has to guess where to look.\"",[22,45,46,47,50],{},"Detection commoditizes buffer overflows; OpenBSD needs math reasoning. Triage demands false-positive rejection, vital after curl killed its bounty from noise. Exploitation requires mitigations knowledge: no canary on int32_t",[48,49],"span",{},", no KASLR, ROP chains. Small models reasoned ROP (prepare_kernel_cred(0)\u002Fcommit_creds), SMEP bypasses, even wormability—DeepSeek R1 pragmatically skipped 1000-byte SSH key for userland ops post-esc (~160 bytes). None matched Mythos's 15-RPC BSS spray, but alternatives like stack-pivot or copyin showed creative primitives.",[22,52,53],{},"AISLE's production system (mid-2025) found 15 OpenSSL CVEs (12\u002F12 in one release, 25+ year olds, CVSS 9.8), 5 curl, 180+ across 30+ projects. Maintainer trust metric: OpenSSL CTO praised \"high quality reports.\" Model-agnostic: Anthropic models used but not always best; scaffolds (containers, ASan oracles, attack surface ranking, iterative tests) drive results.",[29,55,56],{},[22,57,58],{},"\"The moat in AI cybersecurity is the system, not the model.\" – Stanislav Fort, contrasting Mythos's intelligence-per-token max with inputs like tokens\u002Fdollar, tokens\u002Fsecond, embedded expertise.",[22,60,61],{},"Tradeoffs: Frontier models shine on subtlety but cost 10x+; small ones enable broad coverage, lower economics. Jaggedness demands ensembles or task-specific routing.",[17,63,65],{"id":64},"production-implications-broad-cheap-beats-narrow-elite","Production Implications: Broad, Cheap Beats Narrow Elite",[22,67,68],{},"Anthropic's $100M credits\u002F$4M donations validate category, but AISLE executed Glasswing mission earlier: live analyzer on OpenSSL\u002Fcurl\u002FOpenClaw PRs catches pre-ship. Once scaffolds isolate snippets, cheap models suffice for core analysis—end-to-end discovery needs orchestration, not Mythos exclusivity.",[22,70,71],{},"Economics shift: deploy small models everywhere, triage with systems earning maintainer trust. False-positives kill adoption (curl precedent); specificity gaps reinforce scaffold necessity.",[29,73,74],{},[22,75,76],{},"\"Our practical experience on the frontier of AI security suggests that the reality is very uneven.\" – Stanislav Fort, on why blending tasks misleads: production favors modular, expert-wrapped small models over monolithic frontier hopes.",[22,78,79],{},"Replicate by isolating functions via scaffolds, probe with open models (DeepSeek R1, Kimi K2), validate bidirectionally (bug\u002Ffix), iterate maintainer feedback.",[17,81,83],{"id":82},"key-takeaways","Key Takeaways",[85,86,87,91,94,97,100,103,106,109],"ul",{},[88,89,90],"li",{},"Test small open models (3.6B+) on isolated snippets: they recover flagship vulns like FreeBSD RCE, OpenBSD SACK chains.",[88,92,93],{},"Build modular pipelines: scan broad with cheap models, deepen\u002Ftriage with scaffolds (ASan, attack surface ranks).",[88,95,96],{},"Prioritize specificity: re-run on patched code; false-positives drown maintainers—curl bounty died from this.",[88,98,99],{},"Route by task: no universal best model; ensemble jagged strengths (e.g., DeepSeek for ROP pragmatics).",[88,101,102],{},"Target maintainer acceptance: close loop to accepted patches—OpenSSL CTO endorsement beats raw CVEs.",[88,104,105],{},"Exploit creatively under constraints: models independently solved 304-byte ROP limits differently than Mythos.",[88,107,108],{},"Scale via volume: cheap tokens enable full-codebase scans, outperforming selective frontier probes.",[88,110,111],{},"Embed expertise: moat is orchestration (containers, oracles, validation), not model access.",{"title":113,"searchDepth":114,"depth":114,"links":115},"",2,[116,117,118,119],{"id":19,"depth":114,"text":20},{"id":39,"depth":114,"text":40},{"id":64,"depth":114,"text":65},{"id":82,"depth":114,"text":83},[121],"AI & LLMs",null,"md",false,{"content_references":126,"triage":147},[127,132,137,141,144],{"type":128,"title":129,"url":130,"context":131},"tool","Claude Mythos Preview","https:\u002F\u002Fwww.anthropic.com\u002Fglasswing","mentioned",{"type":133,"title":134,"url":135,"context":136},"other","Anthropic Mythos Technical Blog Post","https:\u002F\u002Fred.anthropic.com\u002F2026\u002Fmythos-preview\u002F","cited",{"type":138,"title":139,"url":140,"context":131},"dataset","OWASP Benchmark","https:\u002F\u002Fowasp.org\u002Fwww-project-benchmark\u002F",{"type":133,"title":142,"url":143,"context":131},"AI Found 12 of 12 OpenSSL Zero-Days","https:\u002F\u002Fwww.lesswrong.com\u002Fposts\u002F7aJwgbMEiKq5egQbd\u002Fai-found-12-of-12-openssl-zero-days-while-curl-cancelled-its",{"type":138,"title":145,"url":146,"context":131},"Mythos Jagged Frontier Transcripts","https:\u002F\u002Fgithub.com\u002Fstanislavfort\u002Fmythos-jagged-frontier",{"relevance":148,"novelty":148,"quality":148,"actionability":149,"composite":150,"reasoning":151},4,3,3.8,"Category: AI & LLMs. The article discusses the performance of various AI models in cybersecurity, addressing a specific audience pain point regarding the effectiveness of smaller models versus larger ones. It provides insights into model capabilities and their implications for AI-powered product development, particularly in security contexts.",true,"\u002Fsummaries\u002Fai-security-moat-system-beats-model-size-summary","2026-04-19 14:52:17",{"title":5,"description":113},{"loc":153},"f12489a0fef86eaa","__oneoff__","article","https:\u002F\u002Faisle.com\u002Fblog\u002Fai-cybersecurity-after-mythos-the-jagged-frontier","summaries\u002Fai-security-moat-system-beats-model-size-summary",[163,164,165,166],"llm","ai-tools","open-source","ai-automation","Small, cheap open models recover Anthropic Mythos's flagship vulnerabilities, proving cybersecurity AI capabilities are jagged—not scaling smoothly with size—and the real moat is expert system design, not frontier 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This three-command process skips Docker, Python environments, API keys, and accounts, downloading the model once for subsequent instant loads. On a base MacBook Air (no GPU or cooling upgrades), responses stream without latency, spinners, or internet—working in tunnels or planes with zero data telemetry, rate limits, or quotas. Tokens appear as fast as local typing, shifting AI from remote servers to a self-contained file.",[17,4607,4609],{"id":4608},"handles-practical-tasks-like-a-junior-dev-fails-on-complexity","Handles Practical Tasks Like a Junior Dev, Fails on Complexity",[22,4611,4612],{},"TinyLlama generates a fully functional Node.js Express server with routes, middleware, error handling, and comments—copy-paste runnable without edits. In casual conversations, it explains REST vs. GraphQL differences naturally, matching a coworker's tone and gently correcting user errors without robotic disclaimers. Limits emerge in long contexts (forgets details), multi-step reasoning (loses track of ideas), and hallucinations (invents nonexistent libraries). Failures resemble a junior developer's gaps—coherent but bounded—not random nonsense, making it viable for autocomplete, email rewrites, error explanations, and summaries.",[17,4614,4616],{"id":4615},"lowers-ai-floor-for-privacy-accessibility-and-everyday-use","Lowers AI Floor for Privacy, Accessibility, and Everyday Use",[22,4618,4619],{},"This setup democratizes AI: embed models in apps for offline assistants, enable learning in low-connectivity areas, process sensitive data without third-party uploads, and eliminate per-token costs. For the 'long tail' of routine tasks, small local models suffice, decoupling utility from massive scale, GPUs, and cloud bills. Frontier models still dominate complex reasoning, but the baseline shifts from paid APIs to free laptop files—challenging 'bigger is always better' narratives. Next steps include editor-integrated coding aids, personal fine-tunes on notes, multi-agent small-model collaborations, and offline RAG over documents.",{"title":113,"searchDepth":114,"depth":114,"links":4621},[4622,4623,4624],{"id":4588,"depth":114,"text":4589},{"id":4608,"depth":114,"text":4609},{"id":4615,"depth":114,"text":4616},[121],{"content_references":4627,"triage":4635},[4628,4631,4633],{"type":128,"title":4629,"context":4630},"TinyLlama","recommended",{"type":128,"title":4632,"context":4630},"Ollama",{"type":133,"title":4634,"context":131},"Llama 2",{"relevance":148,"novelty":149,"quality":148,"actionability":148,"composite":150,"reasoning":4636},"Category: AI & LLMs. The article discusses the practical application of a lightweight LLM that can run offline, addressing the audience's pain point of integrating AI into their products without heavy infrastructure. It provides a clear setup process and examples of practical tasks the model can handle, making it actionable for developers.","\u002Fsummaries\u002F637mb-llm-runs-offline-on-base-macbook-air-works-s-summary","2026-05-05 18:01:01","2026-05-06 16:13:47",{"title":4578,"description":113},{"loc":4637},"1b682c7e4ee45c46","Towards AI","https:\u002F\u002Fpub.towardsai.net\u002Fi-ran-a-637mb-llm-on-my-base-macbook-air-and-now-im-questioning-everything-cd78287d0ccc?source=rss----98111c9905da---4","summaries\u002F637mb-llm-runs-offline-on-base-macbook-air-works-s-summary",[163,165,164],"TinyLlama, a 637MB open-source LLM, runs instantly on a stock MacBook Air via Ollama—no internet, GPU, or API needed—handling Node.js servers and casual chats effectively, lowering the bar for useful local AI.",[],"QOghB9reKFFQlLx_5C3ascTP-jpsLgmJ_jM4AaD9kH4",{"id":4651,"title":4652,"ai":4653,"body":4658,"categories":4686,"created_at":122,"date_modified":122,"description":113,"extension":123,"faq":122,"featured":124,"kicker_label":122,"meta":4687,"navigation":152,"path":4691,"published_at":4692,"question":122,"scraped_at":4693,"seo":4694,"sitemap":4695,"source_id":4696,"source_name":4697,"source_type":159,"source_url":4698,"stem":4699,"tags":4700,"thumbnail_url":122,"tldr":4701,"tweet":122,"unknown_tags":4702,"__hash__":4703},"summaries\u002Fsummaries\u002Fgemini-exports-editable-slides-docs-sheets-pdfs-wo-summary.md","Gemini Exports Editable Slides, Docs, Sheets, PDFs, Word, Excel",{"provider":7,"model":8,"input_tokens":4654,"output_tokens":4655,"processing_time_ms":4656,"cost_usd":4657},5242,1201,13219,0.0016264,{"type":14,"value":4659,"toc":4681},[4660,4664,4667,4671,4674,4678],[17,4661,4663],{"id":4662},"direct-file-generation-cuts-cleanup-time-by-20-30-minutes","Direct File Generation Cuts Cleanup Time by 20-30 Minutes",[22,4665,4666],{},"Gemini’s new feature lets you prompt for real, editable files—Google Slides, Docs, Sheets, PDFs, Microsoft Word, or Excel—exported straight from chat without markdown intermediaries or manual reformatting. Previously, AI outputs like tables broke when pasted into tools, requiring tedious fixes; now, Gemini handles layout, charts, images, references, and formulas natively. Upload inputs like handwritten notes, and it performs OCR plus intelligent structuring. Use detailed prompts to specify structure (e.g., \"one slide per cash flow category, add title slide, charts\") for production-ready results. Exports open in native apps for full editing, supporting Google Workspace and Microsoft formats.",[17,4668,4670],{"id":4669},"handwritten-notes-and-outlines-to-slides-and-sheets","Handwritten Notes and Outlines to Slides and Sheets",[22,4672,4673],{},"Upload scanned handwritten cash flow notes, prompt Gemini to \"convert to Google Slides with title slide and one slide per category,\" and it extracts data, generates charts, adds backgrounds\u002Fimages with sources, and formats professionally—e.g., Q3 2026 performance slides with operating metrics. For rough text outlines, it builds beautiful, themed presentations. Balance sheets become live Google Sheets with formulas; provide details like \"B2B SaaS Q3 2026 balance sheet\" for assets\u002Fliabilities tables ready for iteration. These workflows turn raw inputs into stakeholder-ready deliverables in seconds.",[17,4675,4677],{"id":4676},"research-to-polished-docs-and-pdfs","Research to Polished Docs and PDFs",[22,4679,4680],{},"Prompt for market analysis like \"research buy-now-pay-later market, include players\u002Fmarket share\u002Fregulatory environment, output as Word doc,\" and Gemini compiles data, formats with headings\u002Freferences, and exports a clean .docx. Switch to PDF for investor one-pagers (e.g., designed briefs) with visuals and structure. It pulls real-time insights, ensuring outputs include citations. This spans vendors—Google Slides\u002FSheets\u002FDocs, Microsoft Word\u002FExcel, PDFs—making Gemini a universal file generator for briefs, reports, or decks without ecosystem lock-in.",{"title":113,"searchDepth":114,"depth":114,"links":4682},[4683,4684,4685],{"id":4662,"depth":114,"text":4663},{"id":4669,"depth":114,"text":4670},{"id":4676,"depth":114,"text":4677},[121],{"content_references":4688,"triage":4689},[],{"relevance":148,"novelty":149,"quality":148,"actionability":148,"composite":150,"reasoning":4690},"Category: AI Automation. The article discusses a new feature of Gemini that allows users to generate editable files directly from prompts, addressing a common pain point of time-consuming formatting. It provides specific examples of how to use the tool effectively, making it actionable for users looking to streamline their workflows.","\u002Fsummaries\u002Fgemini-exports-editable-slides-docs-sheets-pdfs-wo-summary","2026-04-30 01:30:21","2026-05-03 16:45:04",{"title":4652,"description":113},{"loc":4691},"1193b743143ef426","AI with Surya","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=ADbKLeOTLE8","summaries\u002Fgemini-exports-editable-slides-docs-sheets-pdfs-wo-summary",[164,163,166],"Gemini now generates downloadable, fully editable files (Google Slides\u002FDocs\u002FSheets, PDFs, Word, Excel) directly from chat prompts, eliminating 20-30 minutes of copy-paste formatting per task.",[166],"xdOto59oQUhPvWeLBN3UZvObMhmjvOGun0kYEE7-ex8",{"id":4705,"title":4706,"ai":4707,"body":4712,"categories":4753,"created_at":122,"date_modified":122,"description":113,"extension":123,"faq":122,"featured":124,"kicker_label":122,"meta":4754,"navigation":152,"path":4790,"published_at":4791,"question":122,"scraped_at":4792,"seo":4793,"sitemap":4794,"source_id":4795,"source_name":4796,"source_type":159,"source_url":4797,"stem":4798,"tags":4799,"thumbnail_url":122,"tldr":4800,"tweet":122,"unknown_tags":4801,"__hash__":4802},"summaries\u002Fsummaries\u002Fpick-gemma-4-model-by-hardware-to-unlock-9-10-math-summary.md","Pick Gemma 4 Model by Hardware to Unlock 9\u002F10 Math Accuracy",{"provider":7,"model":8,"input_tokens":4708,"output_tokens":4709,"processing_time_ms":4710,"cost_usd":4711},6736,2210,15095,0.00242955,{"type":14,"value":4713,"toc":4748},[4714,4718,4721,4724,4728,4731,4734,4738,4745],[17,4715,4717],{"id":4716},"hardware-matched-model-selection-maximizes-performance","Hardware-Matched Model Selection Maximizes Performance",[22,4719,4720],{},"Gemma 4 offers four variants tailored to hardware tiers, preventing the common error of loading oversized models that seem \"broken\" due to memory shortages or slow inference. E2B (2.3B params, 3-5GB RAM) fits phones and Raspberry Pi 5 (5 tokens\u002Fsec chatting speed), prioritizing privacy for summaries\u002Fquick replies over complex coding—Google embeds it in future Pixels. E4B (4.5B params, 5-6GB) suits 8-16GB laptops like MacBook Air, handling multimodal inputs (audio\u002Fimages) for local chat\u002Fdocument Q&A but falters on multi-step agents. The 26B MoE model activates only 4B params at once (16-18GB load, plan 24GB total), delivering flagship quality at 4B-model speed with 250k token context—ranks #6 on LMSYS Arena open models. Flagship 31B (30B params, 17-20GB weights + headroom to 24GB VRAM) tops at #3 open on Arena, hits 89% on Olympiad math\u002Fcompetitive programming (master-level), and beats larger closed models like Claude Sonnet on agentic business sims—ideal for workstations with NVIDIA\u002FApple Silicon.",[22,4722,4723],{},"Decision tree: Phones\u002FPi → E2B; 8-16GB laptops → E4B; 24GB system → 26B; 24GB+ VRAM\u002FMac 32GB → 31B. Avoid aggressive quantization on MoE models, as it tanks quality.",[17,4725,4727],{"id":4726},"benchmarks-show-massive-gains-but-real-world-speed-needs-tricks","Benchmarks Show Massive Gains, But Real-World Speed Needs Tricks",[22,4729,4730],{},"Gemma 4 leaps year-over-year: prior small models solved 1-in-5 math problems; now 9-in-10 across sizes. 31B matches Qwen 3.5\u002FKimi K2.5 head-to-head on Arena despite fewer active params via MoE. Strong for one-shot coding\u002Fmath (beats most humans on programming sites) but skip for long tool-call chains—closed models edge it on chained agents.",[22,4732,4733],{},"Free 29% speed boost (50% on code): Pair 31B drafter with E2B guesser via speculative decoding (shared vocab enables it), loading both in 24GB. Use LM Studio's advanced docs for setup. This yields production speeds without hardware upgrades, turning flagship quality into practical desktop use.",[17,4735,4737],{"id":4736},"essential-tools-and-fixes-for-reliable-local-runs","Essential Tools and Fixes for Reliable Local Runs",[22,4739,4740,4741,4744],{},"Run offline\u002Fprivate on any OS: Windows\u002FMac → Ollama (one-line install: ",[4594,4742,4743],{},"ollama run gemma4",") or LM Studio (GUI chat); Linux → same + llama.cpp\u002FvLLM for 31B speed squeezes; Phones → E2B via dedicated mobile guides.",[22,4746,4747],{},"Three fixes avoid early adopter pitfalls: (1) Use latest file formats\u002Fruntime—initial uploads had tokenizer bug (garbled text\u002Ftool calls, fixed in llama.cpp PR #21343 or re-uploads). (2) Stick to baked-in settings (e.g., Google's recommended temp\u002Fsampling). (3) For looped tool calls, test community tweaks for agent reliability. Unsloth Hugging Face quants help load times. All under Apache 2.0, multimodal-ready, setup \u003C10min.",{"title":113,"searchDepth":114,"depth":114,"links":4749},[4750,4751,4752],{"id":4716,"depth":114,"text":4717},{"id":4726,"depth":114,"text":4727},{"id":4736,"depth":114,"text":4737},[121],{"content_references":4755,"triage":4788},[4756,4761,4765,4767,4770,4773,4776,4779,4782,4785],{"type":4757,"title":4758,"author":4759,"url":4760,"context":131},"report","Gemma 4 announcement","Google","https:\u002F\u002Fblog.google\u002Ftechnology\u002Fdevelopers\u002Fgemma-4\u002F",{"type":4757,"title":4762,"author":4763,"url":4764,"context":131},"Gemma 4 model card","Google AI","https:\u002F\u002Fai.google.dev\u002Fgemma\u002Fdocs\u002Fcore\u002Fmodel_card_4",{"type":128,"title":4632,"url":4766,"context":131},"https:\u002F\u002Follama.com",{"type":128,"title":4768,"url":4769,"context":131},"LM Studio","https:\u002F\u002Flmstudio.ai",{"type":128,"title":4771,"url":4772,"context":131},"llama.cpp","https:\u002F\u002Fgithub.com\u002Fggml-org\u002Fllama.cpp",{"type":128,"title":4774,"url":4775,"context":131},"vLLM","https:\u002F\u002Fdocs.vllm.ai",{"type":133,"title":4777,"url":4778,"context":131},"LMArena leaderboard","https:\u002F\u002Flmarena.ai",{"type":128,"title":4780,"url":4781,"context":131},"Unsloth re-quants","https:\u002F\u002Fhuggingface.co\u002Funsloth",{"type":133,"title":4783,"url":4784,"context":131},"llama.cpp tokenizer fix (PR #21343)","https:\u002F\u002Fgithub.com\u002Fggml-org\u002Fllama.cpp\u002Fpull\u002F21343",{"type":133,"title":4786,"url":4787,"context":131},"LM Studio speculative decoding docs","https:\u002F\u002Flmstudio.ai\u002Fdocs\u002Fapp\u002Fadvanced\u002Fspeculative-decoding",{"relevance":148,"novelty":149,"quality":148,"actionability":148,"composite":150,"reasoning":4789},"Category: AI & LLMs. The article provides specific insights into selecting AI models based on hardware capabilities, addressing the audience's need for practical applications in building AI-powered products. It includes actionable advice on pairing models for performance boosts, which is directly applicable to developers and founders.","\u002Fsummaries\u002Fpick-gemma-4-model-by-hardware-to-unlock-9-10-math-summary","2026-04-19 21:52:44","2026-04-21 15:22:05",{"title":4706,"description":113},{"loc":4790},"b698467bc8ca5e8d","DIY Smart Code","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=SLOqlEmuy5U","summaries\u002Fpick-gemma-4-model-by-hardware-to-unlock-9-10-math-summary",[163,164,165],"Gemma 4's four models—E2B (3-5GB phone), E4B (5-6GB laptop), 26B MoE (16-18GB mid-tier), 31B (20-24GB flagship)—jump math benchmarks from 1\u002F5 to 9\u002F10 correct. Pair 31B+E2B for 29% speed boost. Use Ollama\u002FLM Studio for easy local runs.",[],"iqWHmcnSclfiWuUmCuraqpA91aR8Aje3YUzm5cXvuIw",{"id":4804,"title":4805,"ai":4806,"body":4811,"categories":4866,"created_at":122,"date_modified":122,"description":113,"extension":123,"faq":122,"featured":124,"kicker_label":122,"meta":4867,"navigation":152,"path":4890,"published_at":122,"question":122,"scraped_at":4891,"seo":4892,"sitemap":4893,"source_id":4894,"source_name":158,"source_type":159,"source_url":4895,"stem":4896,"tags":4897,"thumbnail_url":122,"tldr":4898,"tweet":122,"unknown_tags":4899,"__hash__":4900},"summaries\u002Fsummaries\u002Fforum-ai-scales-elite-experts-for-llm-evaluation-summary.md","Forum AI Scales Elite Experts for LLM Evaluation",{"provider":7,"model":8,"input_tokens":4807,"output_tokens":4808,"processing_time_ms":4809,"cost_usd":4810},6042,1688,30956,0.0020299,{"type":14,"value":4812,"toc":4861},[4813,4817,4820,4823,4827,4830,4851,4854,4858],[17,4814,4816],{"id":4815},"targeting-high-stakes-domains-requiring-expert-oversight","Targeting High-Stakes Domains Requiring Expert Oversight",[22,4818,4819],{},"Forum AI focuses on AI use cases where nuanced judgment is critical, including News & Current Events, Mental Health Advice, Culture & Society, Ethics & Safety, Education & Guidance, and Finance & Economics. Their approach counters AI's vulnerability to losing trust, as noted by historian Sir Niall Ferguson: new info techs risk credibility without human intelligence, especially for non-human-generated content. They partner with institutions like Carnegie Endowment for International Peace, Atlantic Council, Foundation for Defense of Democracies, Manhattan Institute, Mount Sinai, and Hudson Institute to ensure reliable oversight.",[22,4821,4822],{},"Advisors include Avik Roy (former Marco Rubio advisor), Kevin McCarthy (former House Speaker), Salena Zito (author\u002Fjournalist), Hon. Ivan Duque Marquez (former Colombian President), Jackie Reses (Lead Bank CEO), Fareed Zakaria (CNN host\u002Fauthor), Dr. Jordan Shlain (physician), Scott Jennings (GOP strategist), Kristen Soltis Anderson (pollster), Elizabeth Economy (Hoover Institute), Vuk Jeremic (former UNGA President), and Emmanuel Acho (ex-NFL player\u002Fauthor).",[17,4824,4826],{"id":4825},"expert-in-the-loop-services-for-model-improvement","Expert-in-the-Loop Services for Model Improvement",[22,4828,4829],{},"Services scale limited expert time via 'expert-in-the-loop' systems:",[85,4831,4832,4839,4845],{},[88,4833,4834,4838],{},[4835,4836,4837],"strong",{},"Evaluation",": Custom rubrics, evaluators, and prompt sets for frontier performance; standardized benchmarks with third-party certifications; expert evaluation reports with recommendations; expert-trained LLM judges via API for auto-evals and reward modeling.",[88,4840,4841,4844],{},[4835,4842,4843],{},"Data Annotation",": Labels for training datasets; retrieval source annotation to enhance LLM prioritization of real-time sources; integrates into search\u002Fretrieval stacks.",[88,4846,4847,4850],{},[4835,4848,4849],{},"Data Production",": Licensed retrieval packs for news\u002Ftopics coverage; SFT data packs of expert-designed prompt-response pairs targeting specific gaps.",[22,4852,4853],{},"Teams get bespoke support from evaluation to production, including prompt sets and rubrics for internal use.",[17,4855,4857],{"id":4856},"related-insights-from-forum-ai-blog","Related Insights from Forum AI Blog",[22,4859,4860],{},"Team posts expand on the approach: 'Why We Built Forum AI' (Campbell Brown & Robbie Goldfarb), 'When AI Needs Judgment, Not Just Data' (Robbie Goldfarb), 'The Disappearing Expert' (Campbell Brown), 'Expert-in-the-Loop: Strategies for Scaling the World's Best Human Knowledge' (Robbie Goldfarb), 'No-Bias, No-Bull AI' (Campbell Brown). These emphasize scaling diverse human expertise to address AI biases and judgment gaps.",{"title":113,"searchDepth":114,"depth":114,"links":4862},[4863,4864,4865],{"id":4815,"depth":114,"text":4816},{"id":4825,"depth":114,"text":4826},{"id":4856,"depth":114,"text":4857},[121],{"content_references":4868,"triage":4887},[4869,4873,4877,4881,4884],{"type":133,"title":4870,"author":4871,"url":4872,"context":131},"Why We Built Forum AI","Campbell Brown & Robbie Goldfarb","https:\u002F\u002Fwww.byforum.com\u002Fstories\u002Fwhy-we-built-forum-ai",{"type":133,"title":4874,"author":4875,"url":4876,"context":131},"When AI Needs Judgment, Not Just Data","Robbie Goldfarb","https:\u002F\u002Fwww.byforum.com\u002Fstories\u002Fexpert-judgement",{"type":133,"title":4878,"author":4879,"url":4880,"context":131},"The Disappearing Expert","Campbell Brown","https:\u002F\u002Fwww.byforum.com\u002Fstories\u002Fthe-disappearing-expert",{"type":133,"title":4882,"author":4875,"url":4883,"context":131},"Expert-in-the-Loop: Strategies for Scaling the World's Best Human Knowledge","https:\u002F\u002Fwww.byforum.com\u002Fstories\u002Fexpert-in-the-loop-strategies-for-scaling-the-worlds-best-human-knowledge",{"type":133,"title":4885,"author":4879,"url":4886,"context":131},"No-Bias, No-Bull AI","https:\u002F\u002Fwww.byforum.com\u002Fstories\u002Fno-bias-no-bull-ai",{"relevance":148,"novelty":149,"quality":148,"actionability":149,"composite":4888,"reasoning":4889},3.6,"Category: AI & LLMs. The article discusses a practical approach to improving AI models through expert oversight, addressing a specific audience pain point regarding trust and reliability in AI outputs. It provides insights into expert-in-the-loop systems, which could be actionable for those looking to enhance their AI products.","\u002Fsummaries\u002Fforum-ai-scales-elite-experts-for-llm-evaluation-summary","2026-04-16 03:14:48",{"title":4805,"description":113},{"loc":4890},"6d921bc1f49e47ab","https:\u002F\u002Fwww.byforum.com","summaries\u002Fforum-ai-scales-elite-experts-for-llm-evaluation-summary",[163,164,166],"Forum AI deploys world-class experts (e.g., Niall Ferguson, Fareed Zakaria) to build custom rubrics, annotate data, and create training packs for AI models in high-stakes domains like news, ethics, and mental health.",[166],"IBj0Q55d-Les7lCIBeLxFuRJUNRz5HjyekBp1JO-zIQ"]