[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-c3cbba381f3c04de-the-state-of-data-markets-moving-beyond-contrived-summary":3,"summaries-facets-categories":125,"summary-related-c3cbba381f3c04de-the-state-of-data-markets-moving-beyond-contrived-summary":6543},{"id":4,"title":5,"ai":6,"body":13,"categories":80,"created_at":82,"date_modified":82,"description":73,"extension":83,"faq":82,"featured":84,"kicker_label":82,"meta":85,"navigation":104,"path":105,"published_at":106,"question":82,"scraped_at":107,"seo":108,"sitemap":109,"source_id":110,"source_name":111,"source_type":112,"source_url":113,"stem":114,"tags":115,"thumbnail_url":120,"tldr":121,"tweet":122,"unknown_tags":123,"__hash__":124},"summaries\u002Fsummaries\u002Fc3cbba381f3c04de-the-state-of-data-markets-moving-beyond-contrived--summary.md","The State of Data Markets: Moving Beyond Contrived Benchmarks",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",7336,835,4742,0.0030865,{"type":14,"value":15,"toc":72},"minimark",[16,21,25,29,32,55,58,62,65,69],[17,18,20],"h2",{"id":19},"the-shift-from-contrived-to-process-based-data","The Shift from Contrived to Process-Based Data",[22,23,24],"p",{},"Data is the most critical, yet underfunded, input for AI performance. The industry currently suffers from a reliance on 'Type-2' data—contrived, synthetic examples generated by experts in artificial settings. While this helps models reach basic competence, it fails to drive them toward true expertise. The real opportunity lies in 'Type-1' data: process-based, real-world workflows (e.g., GitHub commits, session replays, or professional decision-making traces) that capture how work actually gets done. Because data is a highly depreciable asset, the only durable supply is found in live business partnerships rather than static, historical codebases.",[17,26,28],{"id":27},"the-verification-bottleneck","The Verification Bottleneck",[22,30,31],{},"Model training success is governed by the 'Verifiers Law,' which states that the ease of training a model is proportional to the task's verifiability. Verifiability is defined by three axes:",[33,34,35,43,49],"ol",{},[36,37,38,42],"li",{},[39,40,41],"strong",{},"Asymmetry:"," Can the task be decomposed into checkable steps?",[36,44,45,48],{},[39,46,47],{},"Veracity:"," Is there consensus on what 'correct' means?",[36,50,51,54],{},[39,52,53],{},"Proliferation:"," How often does the real world provide fresh, verified examples?",[22,56,57],{},"Coding succeeded as the first mature AI application because it scored high on all three axes (unit tests, community consensus, and infinite public examples). Current efforts in law, finance, and biology struggle because they score low on these axes, making them reliant on proprietary enterprise data that is difficult to access and verify.",[17,59,61],{"id":60},"the-benchmark-psychosis-and-vendor-misalignment","The 'Benchmark Psychosis' and Vendor Misalignment",[22,63,64],{},"There is a systemic issue with how the industry measures progress. Many benchmarks are 'quietly fake'—they are created by the same vendors selling the data used to train models to pass them. This creates a Goodhart’s Law scenario where the metric becomes the target, leading to 'benchmark psychosis.' A single benchmark number is merely a noisy sample from an unmeasured distribution. Builders should instead use 'cross-harness differencing' and rubric-based analysis to understand how models actually perform on long-horizon, non-verifiable tasks, rather than relying on leaderboard scores.",[17,66,68],{"id":67},"building-durable-moats-in-an-unstable-market","Building Durable Moats in an Unstable Market",[22,70,71],{},"History shows that infrastructure pioneers rarely maintain long-term market dominance. As foundation models become more commoditized and efficient, the real value for builders is not the model itself, but the pipeline that connects real-world work to the model. Successful data companies are pivoting to become 'Antikythera' mechanisms—infrastructure layers that translate messy business contexts into automated evaluation and reinforcement learning (RL) pipelines. The goal for enterprises is to own their own intelligence, using an abstraction layer that allows them to swap base models (e.g., switching from proprietary to open-source) without needing to rebuild their entire post-training data stack from scratch.",{"title":73,"searchDepth":74,"depth":74,"links":75},"",2,[76,77,78,79],{"id":19,"depth":74,"text":20},{"id":27,"depth":74,"text":28},{"id":60,"depth":74,"text":61},{"id":67,"depth":74,"text":68},[81],"AI & LLMs",null,"md",false,{"content_references":86,"triage":99},[87,92,96],{"type":88,"title":89,"author":90,"context":91},"other","GPQA","Google DeepMind","mentioned",{"type":88,"title":93,"author":94,"context":95},"Verifiers Law","Jason Weey","cited",{"type":97,"title":98,"context":91},"tool","Val's AI",{"relevance":100,"novelty":100,"quality":100,"actionability":101,"composite":102,"reasoning":103},4,3,3.8,"Category: Data Science & Visualization. The article discusses the importance of transitioning from synthetic to real-world data for AI performance, addressing a key pain point for product builders regarding data quality. It offers insights into the verification bottleneck and the systemic issues with current benchmarking practices, which are relevant for those looking to improve their AI products.",true,"\u002Fsummaries\u002Fc3cbba381f3c04de-the-state-of-data-markets-moving-beyond-contrived-summary","2026-07-26 17:00:06","2026-07-27 03:09:02",{"title":5,"description":73},{"loc":105},"c3cbba381f3c04de","AI Engineer","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=ZyIoTOAbRfs","summaries\u002Fc3cbba381f3c04de-the-state-of-data-markets-moving-beyond-contrived--summary",[116,117,118,119],"llm","ai-tools","data-science","product-strategy","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FZyIoTOAbRfs\u002Fhqdefault.jpg","Data quality is the primary bottleneck for AI expertise. Success requires moving from 'contrived' type-2 data to 'process-based' type-1 data, while building infrastructure that decouples enterprise workflows from specific foundation models.","This talk is a high-level industry critique of the AI data market, arguing that the industry is currently trapped in a cycle of \"contrived\" (Type 2) data and unreliable benchmarks. The speaker outlines why \"verifiability\" is the primary bottleneck for scaling AI into new domains and why most current data vendors are selling synthetic, low-utility 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Hidden Costs of Token Maxxing",{"provider":7,"model":8,"input_tokens":6548,"output_tokens":6549,"processing_time_ms":6550,"cost_usd":6551},3745,405,2366,0.00154375,{"type":14,"value":6553,"toc":6586},[6554,6558,6561,6565,6568,6583],[17,6555,6557],{"id":6556},"the-fallacy-of-token-maxxing","The Fallacy of Token Maxxing",[22,6559,6560],{},"\"Token maxxing\" refers to the behavior of consuming maximum available tokens in AI interactions, driven by the flawed assumption that higher token usage directly correlates with increased productivity or output quality. This practice is largely a byproduct of current AI interfaces that abstract away the underlying costs of inference. Because users are not exposed to the real-time financial or computational expense of their prompts, they lack the feedback loop necessary to optimize their usage.",[17,6562,6564],{"id":6563},"developing-economic-discernment","Developing Economic Discernment",[22,6566,6567],{},"As the AI ecosystem matures, developers and users must transition from indiscriminate consumption to \"token discernment.\" This involves two key shifts:",[6569,6570,6571,6577],"ul",{},[36,6572,6573,6576],{},[39,6574,6575],{},"Cognitive Load Management:"," Developers currently struggle to predict token costs because tokenization is inconsistent and opaque. Overcoming this requires building a better intuition for how different tasks consume resources.",[36,6578,6579,6582],{},[39,6580,6581],{},"Scarcity-Based Prioritization:"," As the true cost of inference becomes more transparent, users will naturally begin to evaluate which tasks actually warrant the expense. Not every prompt requires a \"maxed out\" response; learning to identify when a model is being effective versus when it is merely generating noise is essential for sustainable AI integration.",[22,6584,6585],{},"Ultimately, the goal is to move away from the \"more is better\" mindset toward a model of efficiency, where token expenditure is aligned with the specific value of the task at hand.",{"title":73,"searchDepth":74,"depth":74,"links":6587},[6588,6589],{"id":6556,"depth":74,"text":6557},{"id":6563,"depth":74,"text":6564},[81],{"content_references":6592,"triage":6593},[],{"relevance":100,"novelty":101,"quality":100,"actionability":101,"composite":6594,"reasoning":6595},3.6,"Category: AI & LLMs. The article discusses the concept of 'token maxxing' and its implications for AI usage, addressing a specific pain point regarding the economic costs of AI inference. It provides insights into cognitive load management and prioritization, which are relevant for developers looking to optimize their AI interactions.","\u002Fsummaries\u002Fa2f2f2407ed89e51-the-hidden-costs-of-token-maxxing-summary","2026-08-06 19:00:15","2026-08-10 03:21:21",{"title":6546,"description":73},{"loc":6596},"a2f2f2407ed89e51","Google Cloud Tech","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=gOCSj7OG9Zs","summaries\u002Fa2f2f2407ed89e51-the-hidden-costs-of-token-maxxing-summary",[117,116,119],"Token maxxing—the practice of using as many tokens as possible under the assumption that more is better—is an inefficient habit driven by a lack of exposure to the true economic costs of AI inference.","This is a brief commentary on the \"token maxxing\" trend, arguing that the current tendency to use as many tokens as possible is a byproduct of abstracted pricing. The speaker suggests that as users gain a better intuition for inference costs, they will naturally shift toward more discerning, efficient use of AI models.",[],"LAvi8GXSz3t5_XUdyf12Y5j6icF8HJ46TQfTL1JoxMk",{"id":6611,"title":6612,"ai":6613,"body":6618,"categories":6666,"created_at":82,"date_modified":82,"description":73,"extension":83,"faq":82,"featured":84,"kicker_label":82,"meta":6667,"navigation":104,"path":6677,"published_at":6678,"question":82,"scraped_at":6678,"seo":6679,"sitemap":6680,"source_id":6681,"source_name":6682,"source_type":6683,"source_url":6672,"stem":6684,"tags":6685,"thumbnail_url":82,"tldr":6686,"tweet":82,"unknown_tags":6687,"__hash__":6688},"summaries\u002Fsummaries\u002Fa25c36d1d24fa284-schema-aware-localisation-sal-for-nl2sql-reliabili-summary.md","Schema-Aware Localisation (SAL) for NL2SQL Reliability",{"provider":7,"model":8,"input_tokens":6614,"output_tokens":6615,"processing_time_ms":6616,"cost_usd":6617},4059,570,3511,0.00186975,{"type":14,"value":6619,"toc":6661},[6620,6624,6627,6631,6634,6654,6658],[17,6621,6623],{"id":6622},"the-problem-hallucinations-in-nl2sql","The Problem: Hallucinations in NL2SQL",[22,6625,6626],{},"Natural Language to SQL (NL2SQL) systems often struggle with accuracy when mapping user intent to complex database schemas. The primary failure modes include referencing non-existent tables or columns (hallucination) and misinterpreting schema relationships. Standard prompt engineering often fails to enforce strict adherence to the underlying database structure, leading to broken queries that fail at execution time.",[17,6628,6630],{"id":6629},"the-sal-approach-live-schema-grounding","The SAL Approach: Live Schema Grounding",[22,6632,6633],{},"Schema-Aware Localisation (SAL) introduces a framework for real-time validation of SQL generation. Instead of relying solely on the LLM's internal knowledge of the schema, SAL forces the model to perform a 'grounding' step. This process involves:",[6569,6635,6636,6642,6648],{},[36,6637,6638,6641],{},[39,6639,6640],{},"Live Schema Mapping:"," The system dynamically injects relevant schema metadata into the context window, ensuring the model only references valid entities.",[36,6643,6644,6647],{},[39,6645,6646],{},"Hallucination Validation:"," SAL implements a secondary validation layer that checks the generated SQL against the actual database schema before execution. If the model attempts to query a column that does not exist or uses an incorrect join path, the system flags the error.",[36,6649,6650,6653],{},[39,6651,6652],{},"Iterative Correction:"," By identifying these schema-level mismatches, the system can provide targeted feedback to the LLM, allowing it to refine the query based on the specific constraints of the target database.",[17,6655,6657],{"id":6656},"impact-on-system-reliability","Impact on System Reliability",[22,6659,6660],{},"By moving schema awareness from a static prompt instruction to an active validation loop, SAL significantly reduces the rate of execution errors. This approach is particularly effective for 'Oracle' NL2SQL scenarios, where the system must be highly precise. The framework demonstrates that grounding the model in the actual database environment—rather than relying on semantic similarity alone—is the most effective way to ensure that generated code is both syntactically correct and logically sound according to the database's specific architecture.",{"title":73,"searchDepth":74,"depth":74,"links":6662},[6663,6664,6665],{"id":6622,"depth":74,"text":6623},{"id":6629,"depth":74,"text":6630},{"id":6656,"depth":74,"text":6657},[81],{"content_references":6668,"triage":6673},[6669],{"type":6670,"title":6671,"url":6672,"context":95},"paper","Schema-Aware Localisation (SAL): Live Schema Grounding and Hallucination Validation for Oracle NL2SQL","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.22572",{"relevance":6674,"novelty":100,"quality":100,"actionability":101,"composite":6675,"reasoning":6676},5,4.15,"Category: AI & LLMs. The article presents a novel approach to improving NL2SQL systems by introducing Schema-Aware Localisation (SAL), which addresses the common issue of hallucinations in SQL generation. It provides a detailed explanation of how SAL enhances reliability through real-time schema grounding, making it highly relevant for developers looking to implement AI-powered database interactions.","\u002Fsummaries\u002Fa25c36d1d24fa284-schema-aware-localisation-sal-for-nl2sql-reliabili-summary","2026-07-29 03:12:18",{"title":6612,"description":73},{"loc":6677},"a25c36d1d24fa284","arXiv cs.AI","article","summaries\u002Fa25c36d1d24fa284-schema-aware-localisation-sal-for-nl2sql-reliabili-summary",[116,117,118],"Schema-Aware Localisation (SAL) improves NL2SQL accuracy by grounding natural language queries directly against database schemas in real-time, effectively mitigating hallucinations and invalid SQL generation.",[],"Ij6T-jqXetksd27rOOlEM6LDhfREDfXmHsKLnnWobgw",{"id":6690,"title":6691,"ai":6692,"body":6697,"categories":6765,"created_at":82,"date_modified":82,"description":73,"extension":83,"faq":82,"featured":84,"kicker_label":82,"meta":6766,"navigation":104,"path":6773,"published_at":6774,"question":82,"scraped_at":6775,"seo":6776,"sitemap":6777,"source_id":6778,"source_name":6779,"source_type":6683,"source_url":6780,"stem":6781,"tags":6782,"thumbnail_url":82,"tldr":6783,"tweet":82,"unknown_tags":6784,"__hash__":6785},"summaries\u002Fsummaries\u002F58aa82efe57a452b-vector-search-explained-from-brute-force-to-ann-summary.md","Vector Search Explained: From Brute Force to ANN",{"provider":7,"model":8,"input_tokens":6693,"output_tokens":6694,"processing_time_ms":6695,"cost_usd":6696},4838,590,3656,0.0020945,{"type":14,"value":6698,"toc":6760},[6699,6703,6706,6710,6713,6733,6737,6740],[17,6700,6702],{"id":6701},"the-scaling-problem-brute-force-vs-indexing","The Scaling Problem: Brute Force vs. Indexing",[22,6704,6705],{},"Vector search involves finding the nearest neighbors to a query vector within a massive dataset. A 'brute-force' approach—a linear scan—compares the query against every single item in the database. While this guarantees the most accurate result, it is computationally prohibitive at scale (e.g., millions of vectors). For small datasets (a few thousand vectors), brute force is sufficient, but for production-scale applications, it creates a performance bottleneck.",[17,6707,6709],{"id":6708},"the-aisle-strategy-approximate-nearest-neighbor-ann","The 'Aisle' Strategy: Approximate Nearest Neighbor (ANN)",[22,6711,6712],{},"To achieve speed, systems use Approximate Nearest Neighbor (ANN) search, which mimics a supermarket's organization. Instead of searching the entire store, the system uses an indexing method to create 'aisles' (clusters).",[6569,6714,6715,6721,6727],{},[36,6716,6717,6720],{},[39,6718,6719],{},"Clustering",": Similar vectors naturally clump together. The system draws boundaries around these clumps and assigns a 'signpost' (centroid) representing the average position of the items within that cluster.",[36,6722,6723,6726],{},[39,6724,6725],{},"The Two-Step Search",": When a query arrives, the system compares it only against the signposts. It then selects the nearest aisle(s) and performs a scan only within that subset.",[36,6728,6729,6732],{},[39,6730,6731],{},"The Trade-off",": This method is 'approximate' because a relevant item might be miscategorized or missed if the query is directed to the wrong aisle. This trade-off between speed and perfect accuracy is fundamental to high-dimensional search.",[17,6734,6736],{"id":6735},"libraries-vs-databases","Libraries vs. Databases",[22,6738,6739],{},"There is a critical distinction between a search library like FAISS and a full-featured vector database. A library provides the shelving method (e.g., IVF index), but a production-ready database adds the operational infrastructure required for real-world applications:",[6569,6741,6742,6748,6754],{},[36,6743,6744,6747],{},[39,6745,6746],{},"Persistence and Updates",": Managing stock while the store is open and ensuring data survives system restarts.",[36,6749,6750,6753],{},[39,6751,6752],{},"Metadata Filtering",": The ability to restrict searches by specific criteria (e.g., 'only this user's documents'). This is technically difficult because filters often conflict with the pre-indexed 'aisles,' requiring complex engineering to maintain performance.",[36,6755,6756,6759],{},[39,6757,6758],{},"Hybrid Search",": Combining vector similarity with traditional keyword or structured data filtering.",{"title":73,"searchDepth":74,"depth":74,"links":6761},[6762,6763,6764],{"id":6701,"depth":74,"text":6702},{"id":6708,"depth":74,"text":6709},{"id":6735,"depth":74,"text":6736},[81],{"content_references":6767,"triage":6771},[6768],{"type":97,"title":6769,"url":6770,"context":91},"FAISS","https:\u002F\u002Fgithub.com\u002Ffacebookresearch\u002Ffaiss",{"relevance":6674,"novelty":101,"quality":100,"actionability":100,"composite":6675,"reasoning":6772},"Category: AI & LLMs. The article provides a detailed explanation of vector search techniques, specifically focusing on Approximate Nearest Neighbor (ANN) methods, which are crucial for AI-powered product builders dealing with large datasets. It offers actionable insights into the trade-offs between speed and accuracy in search systems, making it relevant for developers looking to implement efficient search functionalities.","\u002Fsummaries\u002F58aa82efe57a452b-vector-search-explained-from-brute-force-to-ann-summary","2026-06-23 04:50:43","2026-06-23 12:56:47",{"title":6691,"description":73},{"loc":6773},"58aa82efe57a452b","Level Up Coding","https:\u002F\u002Flevelup.gitconnected.com\u002Fvector-search-explained-visually-how-databases-find-a-needle-in-5-million-vectors-bb67825b1a75?source=rss----5517fd7b58a6---4","summaries\u002F58aa82efe57a452b-vector-search-explained-from-brute-force-to-ann-summary",[116,117,118],"Vector search scales by replacing linear scans with 'aisles'—grouping similar vectors into clusters defined by centroids—allowing systems to ignore irrelevant data and return results in milliseconds.",[],"HK3k-5y-hEVvC2ZT8cQOkj4KbzVl2TV_np9iv9o01iE",{"id":6787,"title":6788,"ai":6789,"body":6795,"categories":6831,"created_at":82,"date_modified":82,"description":6832,"extension":83,"faq":82,"featured":84,"kicker_label":82,"meta":6833,"navigation":104,"path":6834,"published_at":6835,"question":82,"scraped_at":6836,"seo":6837,"sitemap":6838,"source_id":6839,"source_name":6840,"source_type":112,"source_url":6841,"stem":6842,"tags":6843,"thumbnail_url":82,"tldr":6844,"tweet":82,"unknown_tags":6845,"__hash__":6846},"summaries\u002Fsummaries\u002Fac2fd4cb18ed921e-claude-mythos-tops-benchmarks-but-stays-locked-for-summary.md","Claude Mythos Tops Benchmarks But Stays Locked for Security",{"provider":7,"model":6790,"input_tokens":6791,"output_tokens":6792,"processing_time_ms":6793,"cost_usd":6794},"x-ai\u002Fgrok-4.1-fast",7260,1594,18923,0.0022265,{"type":14,"value":6796,"toc":6825},[6797,6801,6804,6808,6811,6815,6818,6822],[17,6798,6800],{"id":6799},"mythos-previews-coding-prowess-sparks-security-lockdown","Mythos Preview's Coding Prowess Sparks Security Lockdown",[22,6802,6803],{},"Claude Mythos Preview achieves 93.9% on SWE-bench verify (vs. 80.8% Claude Opus 4.6, 80.6% Gemini 3.1 Pro) and 77.8% on tougher SWE-bench Pro (24-point lead over GPT 5.4\u002FOpus 4.5). This enables finding thousands of zero-days across OSes\u002Fbrowsers, including a 27-year-old OpenBSD remote crash flaw, 16-year-old FFmpeg bug missed by 5M tests, and Linux privilege escalation. Anthropic's $100M-token Project Glasswing limits access to Apple, Google, Microsoft, NVIDIA for defensive patching, prioritizing safety over public release—experts like Simon Willison call the pause necessary, Ethan Mollick predicts more such restrictions. Product teams gain a prompt to audit codebases aggressively, but expect accelerated AI adoption once widened, elevating security audits for CTOs.",[17,6805,6807],{"id":6806},"token-maxing-rewards-high-ai-spend-for-efficiency-gains","Token Maxing Rewards High AI Spend for Efficiency Gains",[22,6809,6810],{},"Meta's Claudonomics leaderboard ranks 85K employees by token use, awarding 'token legend'\u002F'session immortal' badges to top burners, turning consumption into prestige. Nvidia's Jensen Huang flags alarm if $500K engineers don't burn $250K tokens yearly, as upfront AI investment cuts long-term costs. Zapier measures hires on token use\u002FAI fluency; Linear COO critiques it like ranking marketers by spend. Use token-maxing to justify AI budgets—track ROI via saved dev time—but pair with output metrics to avoid waste, as Mythos could spike usage further.",[17,6812,6814],{"id":6813},"gtm-and-generative-ui-define-ai-product-winners","GTM and Generative UI Define AI Product Winners",[22,6816,6817],{},"Google Product Director argues AI eases building, shifting focus to 'should you build?' and vertical-specific GTM: tailor landing pages, onboarding, defaults, suggestions via generative AI for personalized experiences. SaaS trend: chat bars (Linear, PostHog, Tier) replace static homepages, admitting one-size-fits-all UIs fail diverse users—next: agents composing interfaces. Builders prioritize GTM roadmaps with AI personalization to cut acquisition costs 2-3x over generic funnels.",[17,6819,6821],{"id":6820},"ai-fuels-14x-github-activity-450m-perplexity-surge","AI Fuels 14x GitHub Activity, $450M Perplexity Surge",[22,6823,6824],{},"GitHub commits hit 275M\u002Fweek (14x YoY, on pace for 14B yearly vs. 1B in 2025); AI PRs 4x to 17M in 6 months; Claude commits 25x to 2.5M\u002Fweek. Ramp data: AI spend 4x YoY, 15% of software budgets. Perplexity ARR jumps to $450M+ (from $305M) via 'computer' feature orchestrating models for projects. Despite 52K Q1 layoffs (AI-linked), 67K software jobs open (+30% YoY, highest in 3+ years). Ship faster by integrating agents into repos—Perplexity proves multi-model coordination drives PMF at scale.",{"title":73,"searchDepth":74,"depth":74,"links":6826},[6827,6828,6829,6830],{"id":6799,"depth":74,"text":6800},{"id":6806,"depth":74,"text":6807},{"id":6813,"depth":74,"text":6814},{"id":6820,"depth":74,"text":6821},[174],"Anthropic has revealed Claude Mythos Preview — a new frontier model it's calling too powerful for public release. Instead, it's being made available exclusively to a select group of partners including Apple, Google, Microsoft, and NVIDIA under an initiative called Project Glasswing.\n\nWe also cover Meta's internal \"Claudeonomics\" leaderboard turning token usage into office status, new data on GitHub commits exploding 14x year-on-year, Perplexity's ARR surging past $450M, and Google's Product Director making the case that Go-to-Market is becoming the essential skill in the AI age.\n\n➡️ Subscribe for weekly product briefings and more analysis: https:\u002F\u002Fdepartmentofproduct.substack.com \n\nFollow on Substack Notes: https:\u002F\u002Fsubstack.com\u002F@richholmes\n\n🔗LINKS\nProject Glasswing announcement — https:\u002F\u002Fwww.anthropic.com\u002Fglasswing\nClaude Mythos Preview system card — https:\u002F\u002Fwww-cdn.anthropic.com\u002F8b8380204f74670be75e81c820ca8dda846ab289.pdf\nFelix Rieseberg on Mythos being a \"step function change\" — https:\u002F\u002Fx.com\u002Ffelixrieseberg\u002Fstatus\u002F2041586309966524919\nSimon Willison on why the pause \"sounds necessary\" — https:\u002F\u002Fsimonwillison.net\u002F2026\u002FApr\u002F7\u002Fproject-glasswing\u002F\nEthan Mollick on security risks — https:\u002F\u002Fx.com\u002Femollick\u002Fstatus\u002F2041578945531830695\nMeta's internal AI token leaderboard — https:\u002F\u002Fwww.theinformation.com\u002Farticles\u002Fmeta-employees-vie-ai-token-legend-status?rc=77sebk\nJensen Huang on token spending — https:\u002F\u002Fembed.businessinsider.com\u002Fjensen-huang-500k-engineers-250k-ai-tokens-nvidia-compute-2026-3\nZapier's AI fluency framework — https:\u002F\u002Fx.com\u002Fwadefoster\u002Fstatus\u002F2038979630590509553\nLinear's COO on token-maxxing — https:\u002F\u002Fx.com\u002Fcjc\u002Fstatus\u002F2041299419845599489\nGoogle's Product Director on GTM as the essential skill — https:\u002F\u002Fx.com\u002Fjacalulu\u002Fstatus\u002F2041160452672004189\nThe SaaS chat bar trend — https:\u002F\u002Fx.com\u002Frabi_guha\u002Fstatus\u002F2040082295563169852\nSimon Willison on GitHub commits — https:\u002F\u002Fsimonwillison.net\u002F2026\u002FApr\u002F4\u002Fkyle-daigle\u002F\nRamp: monthly AI spend grew 4x — https:\u002F\u002Framp.com\u002F3-steps-to-manage-ai-spend\nPerplexity ARR tops $450M — https:\u002F\u002Fca.finance.yahoo.com\u002Fnews\u002Fperplexity-arr-tops-450m-pricing-132500539.html\nAI and software engineering jobs — https:\u002F\u002Fwww.businessinsider.com\u002Fai-isnt-killing-software-coding-jobs-booming-trueup-2026-4\nSubstack article on new product development processes - https:\u002F\u002Fdepartmentofproduct.substack.com\u002Fp\u002Fthe-new-product-development-operating",{},"\u002Fsummaries\u002Fac2fd4cb18ed921e-claude-mythos-tops-benchmarks-but-stays-locked-for-summary","2026-04-09 15:23:12","2026-04-10 03:09:27",{"title":6788,"description":6832},{"loc":6834},"ac2fd4cb18ed921e","Department of Product","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=vrOfKZukpTI","summaries\u002Fac2fd4cb18ed921e-claude-mythos-tops-benchmarks-but-stays-locked-for-summary",[116,117,119],"Anthropic's Claude Mythos Preview scores 93.9% on SWE-bench verify—beating rivals by 13+ points—but is restricted to partners like Apple due to zero-day vulnerability discovery risks.",[],"f_RpxCm-kP-gSbChoWbXZ6KRjVKgOwjAGJSiGfNQ92k"]