{ "schema": "vqv.terminal.latest_page.v1", "generated_at": "2026-07-20T21:23:35.012471+00:00", "page": 3, "page_size": 50, "page_count": 6, "signal_count": 50, "has_previous": true, "has_next": true, "previous_page": "/terminal/latest/page-2.json", "next_page": "/terminal/latest/page-4.json", "signals": [ { "title": "Walden Robotics launches with $1.1B valuation for general-purpose robots", "summary": "Walden Robotics has emerged from stealth mode with a $1.1 billion valuation, backed by leading technology companies. The startup focuses on developing full-stack physical AI for general-purpose robots.", "why_it_matters": "This launch highlights significant investor confidence in versatile robotics powered by integrated AI systems. 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Large Language Models (LLMs) are known to hallucinate under certain conditions, but do these errors have discernible patterns when they are asked...", "seen_at": "2026-07-15T16:42:43+00:00", "prominence_tier": "primary", "buckets": { "companies": [], "models": [], "products": [], "topic": "ai-search", "reader_depth": "TECHNICAL", "editorial_category": "RESEARCH" } }, { "title": "Hedos \u2013 Local models in one native Mac app (llama.cpp, MLX, diffusers)", "summary": "Hacker News surfaced this AI signal from hedos.ai: Hedos \u2013 Local models in one native Mac app (llama.cpp, MLX, diffusers).", "why_it_matters": "", "why_this_is_here": "Why this is here: VQV included this because it remains a relevant public signal for LLM Inference, with source context readers can inspect.", "label": "WATCH", "signal_strength": 73, "score": 53.56, "public_interest": { "score": 35, "editorial_category": "BIG MOVE", "version": "v1", "reasons": [ "editorial category: BIG MOVE", "recognizable entity: llama.cpp", "fresh or meaningfully new" ], "components": { "recognizable_entity_score": 65, "practical_impact_score": 0, "novelty_interest_score": 72, "consequence_score": 0, "curiosity_score": 0, "shareability_score": 47 } }, "what_this_means_for_you": "", "reader_depth": "TECHNICAL", "editorial_freshness": { "band": "archive-level", "age_hours": 124.94 }, "topic": { "name": "LLM Inference", "slug": "llm-inference", "url": "/t/llm-inference/" }, "source": { "name": "Hacker News", "type": "hackernews", "domain": "hedos.ai", "url": "https://www.hedos.ai/", "source_page": "/source/hacker-news/" }, "urls": { "signal_page": "/s/vBu22/", "topic_anchor": "/t/llm-inference/#signal-2edff5ede3", "short_url": "https://vqv.me/vBu22" }, "share_text": "Hedos \u2013 Local models in one native Mac app (llama.cpp, MLX, diffusers) A quick look at what changed and why it matters.", "reposts": 0, "published_at": "2026-07-15T16:27:20+00:00", "fetched_at": "2026-07-20T21:21:11+00:00", "ai_assisted_summary": false, "id": "2edff5ede3", "url_hash": "9f25e15ce3bdedd4952a9b5fd7d7932168e77415ad68b207227308021e01a25b", "short_code": "vBu22", "source_title": "Hedos \u2013 Local models in one native Mac app (llama.cpp, MLX, diffusers)", "source_snippet": "", "seen_at": "2026-07-15T16:27:20+00:00", "prominence_tier": "watch", "buckets": { "companies": [], "models": [ "Llama" ], "products": [], "topic": "llm-inference", "reader_depth": "TECHNICAL", "editorial_category": "BIG MOVE" } }, { "title": "The First Chatbot\u2019s Multiple Personalities", "summary": "<...", "why_it_matters": "", "why_this_is_here": "Why this is here: VQV included this because it remains a relevant public signal for AI Safety & Scams, with source context readers can inspect.", "label": "WATCH", "signal_strength": 84, "score": 53.64, "public_interest": { "score": 47, "editorial_category": "CREATOR TOOLS", "version": "v1", "reasons": [ "editorial category: CREATOR TOOLS", "recognizable entity: Google", "fresh or meaningfully new", "clear source-backed headline", "passes high signal-strength gate" ], "components": { "recognizable_entity_score": 51, "practical_impact_score": 20, "novelty_interest_score": 72, "consequence_score": 42, "curiosity_score": 36, "shareability_score": 56 } }, "what_this_means_for_you": "", "reader_depth": "PRACTICAL", "editorial_freshness": { "band": "archive-level", "age_hours": 125.8 }, "topic": { "name": "AI Safety & Scams", "slug": "ai-safety-scams", "url": "/t/ai-safety-scams/" }, "source": { "name": "IEEE Spectrum AI", "type": "rss", "domain": "spectrum.ieee.org", "url": "https://spectrum.ieee.org/eliza-chatbot-source-code", "source_page": "/source/ieee-spectrum-ai/" }, "urls": { "signal_page": "/s/13Dtp/", "topic_anchor": "/t/ai-safety-scams/#signal-a81eeda965", "short_url": "https://vqv.me/13Dtp" }, "share_text": "The First Chatbot\u2019s Multiple Personalities A quick look at what changed and why it matters.", "reposts": 0, "published_at": "2026-07-15T15:35:53+00:00", "fetched_at": "2026-07-20T21:18:51+00:00", "ai_assisted_summary": false, "id": "a81eeda965", "url_hash": "c7ee1589fac27c3e7ad5304bbaba899a5ab8f4ec4f2dd8b2fae71aa47d831f71", "short_code": "13Dtp", "source_title": "The First Chatbot\u2019s Multiple Personalities", "source_snippet": "ELIZA is remembered as the world\u2019s first AI star, a kindly therapist in chatbot form that gently probed users\u2019 worries. Eve...", "seen_at": "2026-07-15T15:35:53+00:00", "prominence_tier": "watch", "buckets": { "companies": [ "Google" ], "models": [], "products": [], "topic": "ai-safety-scams", "reader_depth": "PRACTICAL", "editorial_category": "CREATOR TOOLS" } }, { "title": "Final article in series on improving AI coding agent evaluations", "summary": "The eighth article in Microsoft's series on Agent Experience (AX) discusses how to effectively evaluate AI coding agents and improve their integration with technology. It covers controlling the agent stack, measuring extension impact, and iterating for better results.", "why_it_matters": "Understanding how to properly evaluate AI coding agents helps developers ensure these tools work correctly and efficiently with their systems. This leads to more reliable AI-assisted coding workflows.", "why_this_is_here": "Why this is here: This signal is recent, source-backed, and connected to activity readers are already following in AI Coding Tools.", "label": "SOURCE-BACKED", "signal_strength": 91, "score": 60.92, "public_interest": { "score": 26, "editorial_category": "AI AT WORK", "version": "v1", "reasons": [ "editorial category: AI AT WORK", "passes high signal-strength gate" ], "components": { "recognizable_entity_score": 0, "practical_impact_score": 28, "novelty_interest_score": 48, "consequence_score": 30, "curiosity_score": 16, "shareability_score": 42 } }, "what_this_means_for_you": "Teams using AI at work may want to compare this against current productivity and review workflows.", "reader_depth": "TECHNICAL", "editorial_freshness": { "band": "archive-level", "age_hours": 128.51 }, "topic": { "name": "AI Coding Tools", "slug": "ai-coding-tools", "url": "/t/ai-coding-tools/" }, "source": { "name": "Microsoft Developer Blog", "type": "rss", "domain": "devblogs.microsoft.com", "url": "https://devblogs.microsoft.com/blog/building-ax-evals-that-actually-work/", "source_page": "/source/microsoft-developer-blog/" }, "urls": { "signal_page": "/s/brqZc/", "topic_anchor": "/t/ai-coding-tools/#signal-12f0ee761a", "short_url": "https://vqv.me/brqZc" }, "share_text": "Microsoft's final article in their AX series explains how to build effective evaluations for AI coding agents to improve their performance and integration.", "reposts": 0, "published_at": "2026-07-15T12:53:13+00:00", "fetched_at": "2026-07-20T21:19:46+00:00", "ai_assisted_summary": true, "id": "12f0ee761a", "url_hash": "32d9df595637523918979e3c4bfd167bff75a4ec0e31fdca3d29604642649bb3", "short_code": "brqZc", "source_title": "Building AX evals that actually work", "source_snippet": "This is the eighth and final article in a series about Agent Experience (AX): the practice of making AI coding agents work correctly with your technology. The series covers what you can and can\u2019t control in the agent stack, how to measure whether your extensions are helping or hurting, and how to iterate toward...", "seen_at": "2026-07-15T12:53:13+00:00", "prominence_tier": "primary", "buckets": { "companies": [ "Microsoft" ], "models": [], "products": [], "topic": "ai-coding-tools", "reader_depth": "TECHNICAL", "editorial_category": "AI AT WORK" } }, { "title": "NVIDIA and Japan Bring Full-Stack AI and Robotics to Every Industry", "summary": "Home to leading manufacturers, robotics pioneers, infrastructure builders and iconic gaming companies, of course, Japan is one of the world\u2019s centers of AI \u2014 building across the full stack with NVIDIA technologies. 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This week NVIDIA and its partners in Japan are showcasing the AI ecosystem\u2019s latest advancements....", "seen_at": "2026-07-15T10:51:37+00:00", "prominence_tier": "primary", "buckets": { "companies": [ "NVIDIA" ], "models": [], "products": [], "topic": "robotics", "reader_depth": "TECHNICAL", "editorial_category": "ROBOTS & HARDWARE" } }, { "title": "OpenAI's GPT-Red Enhances AI Safety Through Automated Self-Improvement", "summary": "OpenAI introduced GPT-Red, an automated red teaming system that uses self-play to enhance AI safety, alignment, and robustness against prompt injection. This approach allows the AI to identify and address vulnerabilities autonomously.", "why_it_matters": "Improving AI robustness and alignment is critical to deploying safer AI systems. GPT-Red's self-improvement method represents a step toward more resilient AI models capable of defending against manipulation.", "why_this_is_here": "Why this is here: This signal is recent, source-backed, and connected to activity readers are already following in AI Security.", "label": "SOURCE-BACKED", "signal_strength": 95, "score": 72.44, "public_interest": { "score": 33, "editorial_category": "SECURITY", "version": "v1", "reasons": [ "editorial category: SECURITY", "recognizable entity: OpenAI", "passes high signal-strength gate" ], "components": { "recognizable_entity_score": 51, "practical_impact_score": 8, "novelty_interest_score": 48, "consequence_score": 30, "curiosity_score": 0, "shareability_score": 49 } }, "what_this_means_for_you": "Security-conscious readers may want to review the source and watch for practical exposure or mitigation details.", "reader_depth": "TECHNICAL", "editorial_freshness": { "band": "archive-level", "age_hours": 131.39 }, "topic": { "name": "AI Security", "slug": "ai-security", "url": "/t/ai-security/" }, "source": { "name": "OpenAI News", "type": "rss", "domain": "openai.com", "url": "https://openai.com/index/unlocking-self-improvement-gpt-red", "source_page": "/source/openai-news/" }, "urls": { "signal_page": "/s/C9hgC/", "topic_anchor": "/t/ai-security/#signal-73194b9a74", "short_url": "https://vqv.me/C9hgC" }, "share_text": "OpenAI's GPT-Red uses self-play to boost AI safety and robustness, advancing automated defenses against prompt injection attacks.", "reposts": 0, "published_at": "2026-07-15T10:00:00+00:00", "fetched_at": "2026-07-20T21:22:34+00:00", "ai_assisted_summary": true, "id": "73194b9a74", "url_hash": "f8df3e0d3cc81402169fbdee61bfd5fe093e09e8ae9a90ce6327c888ac618438", "short_code": "C9hgC", "source_title": "GPT-Red: Unlocking Self-Improvement for Robustness", "source_snippet": "Explore GPT-Red, OpenAI\u2019s automated red teaming system that uses self-play to improve AI safety, alignment, and prompt injection robustness.", "seen_at": "2026-07-15T10:00:00+00:00", "prominence_tier": "primary", "buckets": { "companies": [ "OpenAI" ], "models": [], "products": [], "topic": "ai-security", "reader_depth": "TECHNICAL", "editorial_category": "SECURITY" } }, { "title": "Frontier AI Agents Tested for Autonomous Clinical AI Security Audits", "summary": "Researchers propose an evaluation task to assess whether advanced AI agents can independently conduct structured security audits on clinical AI models. 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Large language models gave artificial intelligence a working recipe. Pretrain a lar...", "seen_at": "2026-07-13T16:33:19+00:00", "prominence_tier": "primary", "buckets": { "companies": [], "models": [], "products": [], "topic": "robotics", "reader_depth": "TECHNICAL", "editorial_category": "ROBOTS & HARDWARE" } }, { "title": "AI Arms Race Intensifies in Software Engineering Interviews", "summary": "Artificial intelligence is increasingly influencing software engineering job interviews, with candidates using AI tools to enhance their coding performance. This trend is creating a competitive environment where applicants leverage AI to stand out.", "why_it_matters": "The growing use of AI in technical interviews could reshape hiring practices and challenge traditional assessment methods. 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It aims to enhance video understanding and interaction capabilities in robotics.", "why_it_matters": "Open-source models like LingBot-Video can accelerate research and development in embodied AI by providing accessible tools for video-based perception and decision-making. This supports advancements in robotics that require complex environmental understanding.", "why_this_is_here": "Why this is here: VQV included this because it remains a relevant public signal for Robotics, with source context readers can inspect.", "label": "SOURCE-BACKED", "signal_strength": 78, "score": 51.58, "public_interest": { "score": 23, "editorial_category": "ROBOTS & HARDWARE", "version": "v1", "reasons": [ "editorial category: ROBOTS & HARDWARE", "fresh or meaningfully new", "passes high signal-strength gate" ], "components": { "recognizable_entity_score": 0, "practical_impact_score": 0, "novelty_interest_score": 72, "consequence_score": 12, "curiosity_score": 32, "shareability_score": 33 } }, "what_this_means_for_you": "Hardware and robotics watchers may want to track whether this becomes a product, benchmark, or deployment signal.", "reader_depth": "TECHNICAL", "editorial_freshness": { "band": "archive-level", "age_hours": 175.06 }, "topic": { "name": "Robotics", "slug": "robotics", "url": "/t/robotics/" }, "source": { "name": "Hacker News", "type": "hackernews", "domain": "github.com", "url": "https://github.com/robbyant/lingbot-video", "source_page": "/source/hacker-news/" }, "urls": { "signal_page": "/s/sr80V/", "topic_anchor": "/t/robotics/#signal-949802822e", "short_url": "https://vqv.me/sr80V" }, "share_text": "LingBot-Video is an open-source MoE video foundation model advancing embodied AI for better video understanding in robotics.", "reposts": 0, "published_at": "2026-07-13T14:20:01+00:00", "fetched_at": "2026-07-20T21:21:49+00:00", "ai_assisted_summary": true, "id": "949802822e", "url_hash": "c83aa95741d1e444ab5d296c0d552bb58bab15d57b3506d97acc56b4b5f33a43", "short_code": "sr80V", "source_title": "LingBot-Video: An open-source MoE video foundation model for embodied AI", "source_snippet": "", "seen_at": "2026-07-13T14:20:01+00:00", "prominence_tier": "primary", "buckets": { "companies": [], "models": [], "products": [], "topic": "robotics", "reader_depth": "TECHNICAL", "editorial_category": "ROBOTS & HARDWARE" } }, { "title": "Introducing Precursor: detecting agentic behavior with continuous client-side signals", "summary": "Precursor, our new continuous behavioral validation engine for bot management, offers visibility into how humans and bots actually interact across the full user journey. By turning session-level behavior into bot detection signals, it identifies advanced auto...", "why_it_matters": "", "why_this_is_here": "Why this is here: VQV included this because it remains a relevant public signal for AI Coding Tools, with source context readers can inspect.", "label": "WATCH", "signal_strength": 88, "score": 51.88, "public_interest": { "score": 26, "editorial_category": "AI AT WORK", "version": "v1", "reasons": [ "editorial category: AI AT WORK", "fresh or meaningfully new", "passes high signal-strength gate" ], "components": { "recognizable_entity_score": 0, "practical_impact_score": 8, "novelty_interest_score": 72, "consequence_score": 30, "curiosity_score": 16, "shareability_score": 42 } }, "what_this_means_for_you": "Teams using AI at work may want to compare this against current productivity and review workflows.", "reader_depth": "TECHNICAL", "editorial_freshness": { "band": "archive-level", "age_hours": 176.39 }, "topic": { "name": "AI Coding Tools", "slug": "ai-coding-tools", "url": "/t/ai-coding-tools/" }, "source": { "name": "Cloudflare Blog", "type": "rss", "domain": "blog.cloudflare.com", "url": "https://blog.cloudflare.com/introducing-precursor/", "source_page": "/source/cloudflare-blog/" }, "urls": { "signal_page": "/s/BpoVC/", "topic_anchor": "/t/ai-coding-tools/#signal-ab25f99cb3", "short_url": "https://vqv.me/BpoVC" }, "share_text": "Introducing Precursor: detecting agentic behavior with continuous client-side signals Teams using AI at work may want to compare this against current productivity and review workflows.", "reposts": 0, "published_at": "2026-07-13T13:00:00+00:00", "fetched_at": "2026-07-20T21:19:46+00:00", "ai_assisted_summary": false, "id": "ab25f99cb3", "url_hash": "8e31d791b1ab6fad6517d20e62f2b87bbfbc090752b9e9117643c7c13f105afb", "short_code": "BpoVC", "source_title": "Introducing Precursor: detecting agentic behavior with continuous client-side signals", "source_snippet": "Precursor, our new continuous behavioral validation engine for bot management, offers visibility into how humans and bots actually interact across the full user journey. By turning session-level behavior into bot detection signals, it identifies advanced automation with higher precision \u2014 while reducing friction...", "seen_at": "2026-07-13T13:00:00+00:00", "prominence_tier": "watch", "buckets": { "companies": [ "Cloudflare" ], "models": [], "products": [], "topic": "ai-coding-tools", "reader_depth": "TECHNICAL", "editorial_category": "AI AT WORK" } }, { "title": "Open Source Web-Based AI Video Studio Vivijure Launched", "summary": "Vivijure is an open source, web-based AI video studio recently discussed on Hacker News. It offers tools for AI-driven video creation accessible via a browser.", "why_it_matters": "This platform lowers barriers to AI video production by providing open source tools online, potentially expanding access to AI video capabilities. It reflects growing interest in accessible AI video editing solutions.", "why_this_is_here": "Why this is here: VQV included this because it remains a relevant public signal for AI Video, with source context readers can inspect.", "label": "SOURCE-BACKED", "signal_strength": 82, "score": 54.7, "public_interest": { "score": 23, "editorial_category": "CREATOR TOOLS", "version": "v1", "reasons": [ "editorial category: CREATOR TOOLS", "fresh or meaningfully new", "passes high signal-strength gate" ], "components": { "recognizable_entity_score": 0, "practical_impact_score": 8, "novelty_interest_score": 72, "consequence_score": 0, "curiosity_score": 32, "shareability_score": 34 } }, "what_this_means_for_you": "", "reader_depth": "PRACTICAL", "editorial_freshness": { "band": "archive-level", "age_hours": 176.72 }, "topic": { "name": "AI Video", "slug": "ai-video", "url": "/t/ai-video/" }, "source": { "name": "Hacker News", "type": "hackernews", "domain": "news.ycombinator.com", "url": "https://news.ycombinator.com/item?id=48891809", "source_page": "/source/hacker-news/" }, "urls": { "signal_page": "/s/zOKC3/", "topic_anchor": "/t/ai-video/#signal-cf17697281", "short_url": "https://vqv.me/zOKC3" }, "share_text": "Vivijure is an open source web-based AI video studio enabling accessible AI-driven video creation via browser.", "reposts": 0, "published_at": "2026-07-13T12:40:17+00:00", "fetched_at": "2026-07-20T21:20:33+00:00", "ai_assisted_summary": true, "id": "cf17697281", "url_hash": "c758a08897df9db262f1fd89d7d0bea85e1c3654c33cb50e1f034b3238a8f509", "short_code": "zOKC3", "source_title": "Show HN: OSS Web Based AI Video Studio (Vivijure)", "source_snippet": "", "seen_at": "2026-07-13T12:40:17+00:00", "prominence_tier": "primary", "buckets": { "companies": [], "models": [], "products": [], "topic": "ai-video", "reader_depth": "PRACTICAL", "editorial_category": "CREATOR TOOLS" } }, { "title": "C/CUDA Inference Engine for Qwen 3.6 35B on RTX 5090 Released", "summary": "A performant C/CUDA inference engine for the Qwen 3.6 35B model optimized for RTX 5090 / Blackwell GPUs is available. The project is discussed on Hacker News with community feedback.", "why_it_matters": "This engine enables efficient large language model inference on cutting-edge GPUs, potentially improving speed and resource use. It supports deployment of large models like Qwen 3.6 35B in practical settings.", "why_this_is_here": "Why this is here: VQV included this because it remains a relevant public signal for LLM Inference, with source context readers can inspect.", "label": "SOURCE-BACKED", "signal_strength": 78, "score": 52.68, "public_interest": { "score": 18, "editorial_category": "USEFUL NOW", "version": "v1", "reasons": [ "editorial category: USEFUL NOW", "fresh or meaningfully new", "passes high signal-strength gate" ], "components": { "recognizable_entity_score": 0, "practical_impact_score": 0, "novelty_interest_score": 72, "consequence_score": 0, "curiosity_score": 0, "shareability_score": 33 } }, "what_this_means_for_you": "", "reader_depth": "TECHNICAL", "editorial_freshness": { "band": "archive-level", "age_hours": 189.17 }, "topic": { "name": "LLM Inference", "slug": "llm-inference", "url": "/t/llm-inference/" }, "source": { "name": "Hacker News", "type": "hackernews", "domain": "github.com", "url": "https://github.com/ambud/q36", "source_page": "/source/hacker-news/" }, "urls": { "signal_page": "/s/DryDl/", "topic_anchor": "/t/llm-inference/#signal-ee3dd614fa", "short_url": "https://vqv.me/DryDl" }, "share_text": "New C/CUDA inference engine for Qwen 3.6 35B on RTX 5090 GPUs offers optimized LLM performance, discussed on Hacker News.", "reposts": 0, "published_at": "2026-07-13T00:13:20+00:00", "fetched_at": "2026-07-20T21:21:11+00:00", "ai_assisted_summary": true, "id": "ee3dd614fa", "url_hash": "0025b9d8f8d09fd248360e2588a2b5da0659dc29d2a6b0095f92d742c685362a", "short_code": "DryDl", "source_title": "Performant C/CUDA inference engine for Qwen 3.6 35B on RTX 5090 / Blackwell", "source_snippet": "", "seen_at": "2026-07-13T00:13:20+00:00", "prominence_tier": "primary", "buckets": { "companies": [], "models": [], "products": [], "topic": "llm-inference", "reader_depth": "TECHNICAL", "editorial_category": "USEFUL NOW" } }, { "title": "Agent Runs now display subagent activity for eve projects", "summary": "Vercel's Agent Runs feature now includes a Subagents tab for eve projects, showing detailed activity of each subagent including prompts, duration, and failures. Users can inspect subagent runs with the same level of detail as parent runs.", "why_it_matters": "This enhancement improves observability by providing developers with deeper insights into subagent behavior within eve projects, aiding in debugging and performance analysis. It streamlines monitoring by consolidating subagent data on a shared timeline.", "why_this_is_here": "Why this is here: This signal is recent, source-backed, and connected to activity readers are already following in Developer Tools.", "label": "SOURCE-BACKED", "signal_strength": 93, "score": 56.28, "public_interest": { "score": 53, "editorial_category": "BIG MOVE", "version": "v1", "reasons": [ "editorial category: BIG MOVE", "recognizable entity: Vercel", "fresh or meaningfully new", "clear source-backed headline", "passes high signal-strength gate" ], "components": { "recognizable_entity_score": 67, "practical_impact_score": 46, "novelty_interest_score": 72, "consequence_score": 30, "curiosity_score": 16, "shareability_score": 64 } }, "what_this_means_for_you": "", "reader_depth": "TECHNICAL", "editorial_freshness": { "band": "archive-level", "age_hours": 189.39 }, "topic": { "name": "Developer Tools", "slug": "developer-tools", "url": "/t/developer-tools/" }, "source": { "name": "Vercel Blog", "type": "rss", "domain": "vercel.com", "url": "https://vercel.com/changelog/agent-runs-now-show-subagent-activity-on-eve-projects", "source_page": "/source/vercel-blog/" }, "urls": { "signal_page": "/s/jo6kI/", "topic_anchor": "/t/developer-tools/#signal-9db7dd1d0e", "short_url": "https://vqv.me/jo6kI" }, "share_text": "Vercel's Agent Runs now show detailed subagent activity for eve projects, helping developers track prompts, duration, and failures in one place.", "reposts": 0, "published_at": "2026-07-13T00:00:00+00:00", "fetched_at": "2026-07-20T21:23:09+00:00", "ai_assisted_summary": true, "id": "9db7dd1d0e", "url_hash": "88dbb61dff2d2c109fe49b01b76e4f6e2be6d2cd074d268bd3c5c1c3fa7bdc8f", "short_code": "jo6kI", "source_title": "Agent Runs now show subagent activity on eve projects", "source_snippet": "You can now inspect subagent activity for eve projects in Agent Runs . The new Subagents tab shows every subagent, organized by which turn started it. Each row shows the prompt, duration, and any failures, all on a shared timeline. Click any subagent to open its run. The tab shows the same details as a parent run:...", "seen_at": "2026-07-13T00:00:00+00:00", "prominence_tier": "primary", "buckets": { "companies": [ "Vercel" ], "models": [], "products": [], "topic": "developer-tools", "reader_depth": "TECHNICAL", "editorial_category": "BIG MOVE" } }, { "title": "Study Reveals Current AI Policy Landscape in K-12 Education", "summary": "A recent study provides a snapshot of how school districts are addressing AI policies in K-12 education. It highlights the current status and approaches districts are taking toward AI integration and regulation.", "why_it_matters": "Understanding the national AI policy landscape in K-12 helps educators and policymakers identify gaps and opportunities for responsible AI use in schools. This insight is crucial as AI technologies become more prevalent in educational settings.", "why_this_is_here": "Why this is here: This signal is recent, source-backed, and connected to activity readers are already following in AI Policy & Society.", "label": "SOURCE-BACKED", "signal_strength": 92, "score": 54.36, "public_interest": { "score": 18, "editorial_category": "RESEARCH", "version": "v1", "reasons": [ "editorial category: RESEARCH", "passes high signal-strength gate" ], "components": { "recognizable_entity_score": 0, "practical_impact_score": 0, "novelty_interest_score": 48, "consequence_score": 34, "curiosity_score": 0, "shareability_score": 37 } }, "what_this_means_for_you": "", "reader_depth": "TECHNICAL", "editorial_freshness": { "band": "archive-level", "age_hours": 189.39 }, "topic": { "name": "AI Policy & Society", "slug": "ai-policy-society", "url": "/t/ai-policy-society/" }, "source": { "name": "EdSurge", "type": "rss", "domain": "edsurge.com", "url": "https://edsurge.com/news/study-the-national-ai-policy-landscape-in-k-12-education", "source_page": "/source/edsurge/" }, "urls": { "signal_page": "/s/F4azp/", "topic_anchor": "/t/ai-policy-society/#signal-9d7a428c00", "short_url": "https://vqv.me/F4azp" }, "share_text": "New study offers a snapshot of AI policy adoption and challenges in K-12 education across the U.S.", "reposts": 0, "published_at": "2026-07-13T00:00:00+00:00", "fetched_at": "2026-07-20T21:19:28+00:00", "ai_assisted_summary": true, "id": "9d7a428c00", "url_hash": "4c9b5615c1d870dbca1bcf9189a6ad67a4b6796a06ad4cf7385f8b63d893d4d9", "short_code": "F4azp", "source_title": "Study: The National AI Policy Landscape in K\u201312 Education", "source_snippet": "A snapshot of where districts stand on AI and what it reveals.", "seen_at": "2026-07-13T00:00:00+00:00", "prominence_tier": "primary", "buckets": { "companies": [], "models": [], "products": [], "topic": "ai-policy-society", "reader_depth": "TECHNICAL", "editorial_category": "RESEARCH" } }, { "title": "TCS plans to hire up to 8,900 AI deployment engineers and pursue AI acquisitions", "summary": "India's Tata Consultancy Services (TCS) aims to hire up to 8,900 AI deployment engineers and is actively seeking acquisitions in the AI sector. This move highlights TCS's commitment to expanding its AI capabilities and services.", "why_it_matters": "TCS's aggressive hiring and acquisition strategy signals increased investment in AI, reflecting the growing importance of AI integration in business services. This could influence the competitive landscape in AI consulting and deployment.", "why_this_is_here": "Why this is here: VQV included this because it remains a relevant public signal for AI Business, with source context readers can inspect.", "label": "SOURCE-BACKED", "signal_strength": 75, "score": 49.08, "public_interest": { "score": 24, "editorial_category": "MONEY", "version": "v1", "reasons": [ "editorial category: MONEY", "fresh or meaningfully new", "passes high signal-strength gate" ], "components": { "recognizable_entity_score": 0, "practical_impact_score": 18, "novelty_interest_score": 72, "consequence_score": 16, "curiosity_score": 0, "shareability_score": 36 } }, "what_this_means_for_you": "Business readers can use this as a signal of where capital, competition, or market attention is moving.", "reader_depth": "GENERAL", "editorial_freshness": { "band": "archive-level", "age_hours": 200.58 }, "topic": { "name": "AI Business", "slug": "ai-business", "url": "/t/ai-business/" }, "source": { "name": "Hacker News", "type": "hackernews", "domain": "channelnewsasia.com", "url": "https://www.channelnewsasia.com/business/indias-tata-consultancy-services-plans-up-8900-ai-deployment-engineers-seeks-ai-acquisitions-6249086", "source_page": "/source/hacker-news/" }, "urls": { "signal_page": "/s/l79WY/", "topic_anchor": "/t/ai-business/#signal-d6b22d30e3", "short_url": "https://vqv.me/l79WY" }, "share_text": "TCS plans to hire up to 8,900 AI engineers and pursue AI acquisitions, boosting its AI capabilities and market presence.", "reposts": 0, "published_at": "2026-07-12T12:48:49+00:00", "fetched_at": "2026-07-20T21:19:10+00:00", "ai_assisted_summary": true, "id": "d6b22d30e3", "url_hash": "6c0a73b00bc457db35ab6ea91ba92679521ebc5530cdf6bdd1191c5b9d565c91", "short_code": "l79WY", "source_title": "India's TCS plans up to 8,900 AI deployment engineers, seeks AI acquisitions", "source_snippet": "", "seen_at": "2026-07-12T12:48:49+00:00", "prominence_tier": "primary", "buckets": { "companies": [], "models": [], "products": [], "topic": "ai-business", "reader_depth": "GENERAL", "editorial_category": "MONEY" } }, { "title": "Isitsecure: 1-command SAST, DAST, and LLM security scanner for web apps", "summary": "Isitsecure is a tool that provides static and dynamic application security testing (SAST and DAST) along with large language model (LLM) security scanning for web applications using a single command. It was discussed on Hacker News with limited engagement.", "why_it_matters": "Combining SAST, DAST, and LLM security scanning into one command simplifies security testing for web apps, potentially improving developer efficiency. This integration addresses multiple security layers in a streamlined manner.", "why_this_is_here": "Why this is here: VQV included this because it remains a relevant public signal for AI Security, with source context readers can inspect.", "label": "SOURCE-BACKED", "signal_strength": 81, "score": 53.5, "public_interest": { "score": 24, "editorial_category": "USEFUL NOW", "version": "v1", "reasons": [ "editorial category: USEFUL NOW", "fresh or meaningfully new", "passes high signal-strength gate" ], "components": { "recognizable_entity_score": 0, "practical_impact_score": 8, "novelty_interest_score": 72, "consequence_score": 28, "curiosity_score": 0, "shareability_score": 34 } }, "what_this_means_for_you": "", "reader_depth": "PRACTICAL", "editorial_freshness": { "band": "archive-level", "age_hours": 231.73 }, "topic": { "name": "AI Security", "slug": "ai-security", "url": "/t/ai-security/" }, "source": { "name": "Hacker News", "type": "hackernews", "domain": "github.com", "url": "https://github.com/jaurakunal/isitsecure", "source_page": "/source/hacker-news/" }, "urls": { "signal_page": "/s/P7whQ/", "topic_anchor": "/t/ai-security/#signal-5b3f2ec8f9", "short_url": "https://vqv.me/P7whQ" }, "share_text": "Isitsecure offers 1-command SAST, DAST, and LLM security scanning for web apps, simplifying comprehensive security testing.", "reposts": 0, "published_at": "2026-07-11T05:39:42+00:00", "fetched_at": "2026-07-20T21:22:34+00:00", "ai_assisted_summary": true, "id": "5b3f2ec8f9", "url_hash": "74fdfd7ae8a8f1f611126e837f68918fe5508eaea99c3ad6ba107b0e619ebef5", "short_code": "P7whQ", "source_title": "Show HN: Isitsecure \u2013 1-command SAST and DAST and LLM security scanner for web apps", "source_snippet": "", "seen_at": "2026-07-11T05:39:42+00:00", "prominence_tier": "primary", "buckets": { "companies": [], "models": [], "products": [], "topic": "ai-security", "reader_depth": "PRACTICAL", "editorial_category": "USEFUL NOW" } }, { "title": "New Platform Launches YouTube-Style Site for Generative Videos", "summary": "A developer created a YouTube-like platform dedicated to generative videos, built using just 50 prompts. The site showcases AI-generated video content in a familiar browsing format.", "why_it_matters": "This platform highlights the growing accessibility and interest in AI-generated video content, providing a centralized place for discovery and sharing. It may influence how generative video content is consumed and distributed online.", "why_this_is_here": "Why this is here: VQV included this because it remains a relevant public signal for AI Video, with source context readers can inspect.", "label": "SOURCE-BACKED", "signal_strength": 81, "score": 53.5, "public_interest": { "score": 23, "editorial_category": "CREATOR TOOLS", "version": "v1", "reasons": [ "editorial category: CREATOR TOOLS", "fresh or meaningfully new", "passes high signal-strength gate" ], "components": { "recognizable_entity_score": 0, "practical_impact_score": 8, "novelty_interest_score": 72, "consequence_score": 0, "curiosity_score": 32, "shareability_score": 34 } }, "what_this_means_for_you": "", "reader_depth": "PRACTICAL", "editorial_freshness": { "band": "archive-level", "age_hours": 232.32 }, "topic": { "name": "AI Video", "slug": "ai-video", "url": "/t/ai-video/" }, "source": { "name": "Hacker News", "type": "hackernews", "domain": "gallery.samsar.one", "url": "https://gallery.samsar.one/", "source_page": "/source/hacker-news/" }, "urls": { "signal_page": "/s/QWFCA/", "topic_anchor": "/t/ai-video/#signal-47c425e651", "short_url": "https://vqv.me/QWFCA" }, "share_text": "A new YouTube-style platform for generative videos was built using only 50 prompts, making AI-generated video content easier to explore and share.", "reposts": 0, "published_at": "2026-07-11T05:04:17+00:00", "fetched_at": "2026-07-20T21:20:33+00:00", "ai_assisted_summary": true, "id": "47c425e651", "url_hash": "a8610d5d24f8a3957a077c5a109c0f1b8c2ddcd10191bfc3bfc569bddd0e6b29", "short_code": "QWFCA", "source_title": "Show HN: I built a YouTube for generative videos in 50 prompts", "source_snippet": "", "seen_at": "2026-07-11T05:04:17+00:00", "prominence_tier": "primary", "buckets": { "companies": [], "models": [], "products": [], "topic": "ai-video", "reader_depth": "PRACTICAL", "editorial_category": "CREATOR TOOLS" } }, { "title": "AI Advances Enable Scalable Automated Voice Phishing Attacks", "summary": "New research shows that AI voice synthesis and large language models can automate voice phishing attacks, removing the need for human operators. A large-scale study assessed U.S.", "why_it_matters": "This development could significantly increase the scale and frequency of voice phishing attacks, posing greater risks to individuals and organizations. Understanding susceptibility helps in designing better defenses against AI-driven social engineering.", "why_this_is_here": "Why this is here: This signal is recent, source-backed, and connected to activity readers are already following in AI Voice.", "label": "SOURCE-BACKED", "signal_strength": 95, "score": 61.12, "public_interest": { "score": 30, "editorial_category": "SECURITY", "version": "v1", "reasons": [ "editorial category: SECURITY", "passes high signal-strength gate" ], "components": { "recognizable_entity_score": 0, "practical_impact_score": 28, "novelty_interest_score": 48, "consequence_score": 50, "curiosity_score": 32, "shareability_score": 42 } }, "what_this_means_for_you": "Security-conscious readers may want to review the source and watch for practical exposure or mitigation details.", "reader_depth": "PRACTICAL", "editorial_freshness": { "band": "archive-level", "age_hours": 240.48 }, "topic": { "name": "AI Voice", "slug": "ai-voice", "url": "/t/ai-voice/" }, "source": { "name": "arXiv", "type": "arxiv", "domain": "arxiv.org", "url": "http://arxiv.org/abs/2607.09970v1", "source_page": "/source/arxiv/" }, "urls": { "signal_page": "/s/KaNOu/", "topic_anchor": "/t/ai-voice/#signal-3ba2e7336f", "short_url": "https://vqv.me/KaNOu" }, "share_text": "AI voice synthesis and LLMs enable scalable automated voice phishing, raising new security challenges as shown by a large U.S. study.", "reposts": 0, "published_at": "2026-07-10T20:54:32+00:00", "fetched_at": "2026-07-20T21:20:50+00:00", "ai_assisted_summary": true, "id": "3ba2e7336f", "url_hash": "8d617d3a6dbbad2c0eed37bcc2ccd4bdd03854a2a04abb683a3836a3f6172889", "short_code": "KaNOu", "source_title": "Evaluating AI Models' Capability to Automate Voice Phishing Attacks", "source_snippet": "Voice phishing (vishing) attacks have traditionally been limited by the need for human operators. The rapid emergence of high-quality AI voice synthesis and large language models (LLMs) reduces this bottleneck and enables scalable, automated scams. In this paper, we conduct a large-scale survey experiment (N=4100)...", "seen_at": "2026-07-10T20:54:32+00:00", "prominence_tier": "primary", "buckets": { "companies": [], "models": [], "products": [], "topic": "ai-voice", "reader_depth": "PRACTICAL", "editorial_category": "SECURITY" } }, { "title": "Better tools made Copilot code review worse. Here\u2019s how we actually improved it.", "summary": "How migrating Copilot code review to shared Unix-style code exploration tools reduced review cost by reshaping agent workflows around pull request evidence. The post