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#产品更新

25 today

Apr 23Thursday

X · @dotey

Microsoft makes Copilot Agent Mode the default in Word, Excel, and PowerPoint

Microsoft made Copilot Agent Mode the default experience in Word, Excel, and PowerPoint, available now to Microsoft 365 Copilot and Premium subscribers, including Personal and Family plans. Microsoft reports internal test gains: Excel engagement up 67% and approval up 65%, Word engagement up 52%, and PowerPoint new-user retention up 36%. What matters is that multi-step in-document execution is now the default, with preview and rollback controls.

Why it matters: This clears HKR-H/K/R: the default flip is the hook, the post includes rollout scope, concrete pilot metrics, and preview/keep/revert controls, and the Office distribution angle will get discussed. I keep it at 84 because this is a large product update, not a new model release or

Hugging Face Blog

How to Use Transformers.js in a Chrome Extension

Hugging Face published a guide for a Transformers.js Chrome extension using Gemma 4 E2B. It defines three MV3 entry points: background service worker, side panel, and content script. The key design keeps local inference in the background and uses messaging plus a tool loop.

Why it matters: HKR-H/K/R all pass, but this is a Hugging Face implementation tutorial, not a model or platform release. Score sits at the featured threshold for a concrete MV3 architecture walkthrough.

Financial Times · Technology

Tesla boosts spending plans to $25bn as Musk doubles down on AI bet

Tesla raised its spending plan to $25bn, with Musk directing more capital toward AI-linked projects. The RSS snippet names self-driving taxis, trucks, robots, and chip factories, and says the increase will be “very significant”; the post does not disclose the time frame, line items, or model details. The key signal is that Tesla is funding a full stack, not just model training.

Why it matters: FT reports a concrete capex jump to $25bn tied to robotaxis, trucks, robots and chip factories. HKR-H/K/R all pass on scale and strategic relevance, but missing timing, line-item spend and model specifics keep it in mid-featured, not must-write.

X · @claudeai

Interactive charts and diagrams are now in Claude Cowork

Anthropic says Claude Cowork now supports interactive charts and diagrams, available in beta on all paid plans. The RSS snippet confirms only 2 facts: feature type and plan scope; the post does not disclose supported formats, editing flow, rollout timing, or permission limits.

Why it matters: This is low-end featured on source authority and Claude audience fit. HKR-H comes from the interactive-chart hook, HKR-K from beta access for all paid plans; HKR-R is weak because formats, editability, and permission model are not disclosed.

The Verge · AI

OpenAI now lets teams make custom bots that can do work on their own

OpenAI opened ChatGPT cloud “workspace” agents to Business, Enterprise, Edu, and Teachers plans, letting teams build custom bots for business tasks. Examples include finding product feedback on the web and sending a report to Slack, plus drafting follow-up sales emails in Gmail; the post does not disclose pricing, rollout details, or capability limits. The real shift is workflow execution inside ChatGPT, not a one-off chat reply.

Why it matters: OpenAI moves ChatGPT from chat into team workflow agents, so HKR-H/K/R all pass: the hook is strong, the post adds plan coverage and task examples, and it hits enterprise automation demand. It stops short of P1 because price, rollout detail, and capability boundaries are not disl

X · @dotey

OpenAI launches ChatGPT Workspace Agents for cross-tool enterprise workflow automation

OpenAI released ChatGPT Workspace Agents as a research preview for ChatGPT Business, Enterprise, Edu, and Teachers paid plans. The snippet says agents can connect Slack, Gmail, Google Drive, Salesforce, Notion, Linear, and Atlassian, and take actions like updating tickets, creating docs, and replying in Slack. The key point is admin controls for permissions, approvals, and monitoring; the post does not disclose pricing, quotas, or rollout regions.

Why it matters: This is a substantive OpenAI product update: ChatGPT now offers cross-tool workspace agents with named enterprise integrations, so HKR-H/K/R all pass. I keep it at 86 because it is still a research preview and pricing, quotas, and rollout regions are not disclosed.

Latent Space

Shopify’s AI Phase Transition: 2026 Usage Explosion, Unlimited Opus-4.6 Budget, Tangle

Shopify CTO Mikhail Parakhin detailed its AI stack across 3 projects: Tangle, Tangent, and SimGym. The post says Shopify is a 20-year, $200B software company, but does not disclose exact 2026 usage figures. The key shift is from code generation to review, CI/CD, and deployment stability.

Why it matters: HKR-H/K/R all pass: the CTO interview has a clear hook, names internal tools, and maps the coding-agent bottleneck to review and CI/CD. Missing usage numbers keep it in 78–84, not P1.

Hacker News front page

OpenAI: Workspace agents for business

OpenAI is offering Workspace agents in research preview for ChatGPT Business, Enterprise, Edu, and Teachers plans. The page says agents can run on schedules, use tools like Slack, Google Drive, and Microsoft apps, and support approval gates, audit logs, and role-based access control; pricing, model details, and rollout timing are not disclosed.

Hacker News front page

Website streamed live directly from a model

Flipbook generates an entire clickable website in real time with an image model, where each page is a pixel image and every click spawns a deeper image. The post says all on-screen text is drawn by the image model with no HTML or text overlays, and content comes from agentic web search plus model knowledge. The key point is the interaction model, not a standard generative UI; the live video stream remains an experimental, resource-heavy toggle.

Why it matters: HKR-H/K/R all pass: a live, clickable site rendered entirely as model-generated pixels is a strong hook, and the post explains the mechanism (no HTML/text overlay, agentic web search). Kept at 76 because latency, cost, model stack, and usage are not disclosed.

X · @OpenAI

Introducing workspace agents in ChatGPT—shared agents for complex tasks and long-running workflows

OpenAI announced workspace agents in ChatGPT, described as shared agents that work across tools and teams for complex and long-running workflows. Only the title and RSS snippet are disclosed; the post does not disclose supported tools, pricing, access tier, permission model, or rollout timing. The key issue to watch is the collaboration boundary of shared agents, not the headline claim alone.

Hacker News front page

Introducing Parallel Agents in Zed

Zed released Parallel Agents on April 22, 2026, letting multiple agents run in parallel in one window. The new Threads Sidebar sets per-thread folder and repo access, and supports stop, archive, and new-thread actions; the new default layout is opt-in for existing users. The key detail is permission scoping and thread orchestration, not just “multiple agents.”

Why it matters: First-party product update with clear HKR-H/K/R: parallel agents in one window plus thread-level repo and folder access control. It stays in the mid-70s because the post gives no performance delta, pricing impact, adoption data, or external validation; this is still a single-tool

TechCrunch · AI

AI Overviews are coming to your work Gmail

Google is bringing AI Overviews to work Gmail to generate instant summaries across multiple emails. The RSS snippet confirms only cross-email summarization; the post does not disclose rollout timing, pricing tier, or model details. The key shift is aggregation beyond a single thread.

Why it matters: HKR-K and HKR-R pass: Google adds cross-email summaries to enterprise Gmail, a core work workflow. HKR-H is weaker, and rollout timing, plan scope, and model details are undisclosed, so this stays low-featured rather than P1.

The Verge · AI

Google Meet will take AI notes for in-person meetings too

Google expanded Gemini notetaking to in-person meetings and added support for Zoom and Microsoft Teams. The post confirms summaries and transcripts; in-person support had previously been limited to Android alpha users. Google also says it works for impromptu meetings outside meeting rooms, which matters because the recorder is no longer confined to native Meet calls.

Apr 22Wednesday

OpenAI News

Making ChatGPT better for clinicians

OpenAI is making ChatGPT for Clinicians free for verified U.S. physicians, nurse practitioners, and pharmacists. The RSS snippet says it supports clinical care, documentation, and research; the post does not disclose model version, pricing limits, launch timing, or verification steps. The real signal is access expanding to individual clinicians, not just enterprise buyers.

Why it matters: HKR-H lands on the unusual angle: OpenAI is offering a clinician-specific ChatGPT tier free to verified U.S. practitioners. HKR-K and HKR-R also pass, but the post omits model version, rollout timing, pricing limits, and verification details, so this scores as a meaningful access

The Verge · AI

Meta will track employees’ computer activity to train its AI agents

Meta is installing its MCI tool on US employees’ computers and using mouse movements, clicks, keystrokes, and occasional screenshots from work apps and sites to train AI agents. Reuters says the data is meant to teach models to operate computers more like humans and automate tasks employees already do; Meta says it will not be used for performance reviews. The key gap is scope: the post discloses US staff and work contexts, but not retention, opt-out, or full rollout details.

Why it matters: HKR-H lands on the surveillance-for-agents hook. HKR-K lands on concrete collection details: US staff, mouse/keyboard events, occasional screenshots. HKR-R lands on privacy plus job-automation nerves. Strong reporting, but not a shipped product or model release, and key scope/ret

r/LocalLLaMA

ServiceNow-AI/SuperApriel-15B-Instruct · Hugging Face

ServiceNow released SuperApriel-15B-Instruct, a single-checkpoint 15B model with 8 deployment presets spanning 1.0× to 10.7× decode throughput at 32K sequence length. It has 48 decoder layers with 4 mixer variants per layer and up to 262K context positions depending on runtime; the key point is that speed-quality tradeoffs and speculative decoding are exposed from the same weights.

Why it matters: A single checkpoint spanning 8 deployment presets with 1.0x-10.7x decode throughput gives strong HKR-H and HKR-K, and the serving tradeoff gives HKR-R. The blast radius is narrower: this is a 15B inference-focused release, not a frontier-lab flagship update, so 76 and featured.

OpenAI News

Introducing workspace agents in ChatGPT

OpenAI introduced workspace agents in ChatGPT, describing them as Codex-powered agents that automate complex workflows in the cloud. The RSS snippet confirms secure work across tools for teams, but the post does not disclose pricing, availability, supported tools, or performance metrics.

Why it matters: This is a substantive OpenAI product update inside ChatGPT. HKR-H lands on the jump from chat to workspace agents, HKR-K on Codex-powered cloud execution across tools, and HKR-R on team workflow automation; the score stops at 86 because pricing, rollout, tool support, and metrics

OpenAI News

Speeding up agentic workflows with WebSockets in the Responses API

OpenAI says WebSockets in the Responses API speed up the Codex agent loop, using connection-scoped caching to cut API overhead and improve latency. The RSS snippet confirms the mechanism, but the post does not disclose latency deltas, throughput numbers, or workload conditions. The key point is transport-layer optimization, not a new model.

Why it matters: This is a developer-facing OpenAI product update at the systems layer: WebSockets plus connection-scoped caching target agent-loop round-trip cost. HKR-H/K/R all pass, but the post does not disclose latency gains, throughput, or workload bounds, so it stays mid-featured rather än

QbitAI · WeChat

SenseAuto's Sage with 3B active params claims to beat GPT-5.4 and Opus 4.6 in cars

SenseAuto released Sage, an in-car multimodal edge model with 32B total params and 3B active params, and says it scored 94% on PinchBench, above Claude Opus 4.6 at 93.3% and GPT-5.4 at 90.5%. The post says Sage runs on Nvidia OrinX with about 0.5s TTFT, 0.03s TPOT, and 80 tok/s throughput; its SCOUT training method cuts GPU hours by about 60%, and ERL raises complex-task completion by 20%. The key point is not the headline race but whether a 3B-active model can sustain multi-step tool use on device.

Why it matters: HKR-H/K/R all pass: the 3B-active-vs-GPT hook is strong, and the post gives concrete OrinX latency, throughput, and benchmark numbers. I keep it at 79 because the evidence is self-reported and the impact is narrower than a general model launch.

Synced · WeChat

Honor preinstalls YOYO Claw on MagicBook, calling it the world's first "agent laptop"

Honor said it preinstalls its YOYO Claw on MagicBook and claims 50% lower total token use than an OpenClaw setup. The post says it ships with 5 primary agents and 23 sub-agents, plus local processing, second-step confirmation, and kernel-level encryption. The practical angle is packaging agents as a device default, but the post does not disclose model names, hardware specs, pricing, or launch timing.

Why it matters: This clears HKR-H/K/R: the factory-installed agent angle is novel, and the post includes concrete details on 5/23 agents, 50% token reduction, local handling, confirmation gates, and kernel-level encryption. It stops at 76 because the model, hardware, price, and ship date are not

Latent Space

OpenAI launches GPT-Image-2

OpenAI shipped GPT-Image-2 in ChatGPT, Codex, and the API. It has thinking and non-thinking variants, with stronger text, layout, editing, multilingual output, and QR codes. Arena ranks it first on 3 Image Arena boards, with 1512 Elo in text-to-image and a +242 lead.

Why it matters: OpenAI shipped GPT-Image-2 across ChatGPT/API/Codex with Arena #1 claims and 1512 T2I Elo. HKR-H/K/R all pass, so this lands in the 85–94 same-day band.

TechCrunch · AI

Meta will record employees’ keystrokes and use it to train its AI models

Meta says a new internal tool converts employees’ mouse movements and button clicks into training data for its AI models. The headline mentions keystrokes, but the post only discloses mouse and click signals, not collection scope, consent, or retention terms. The real issue is the missing internal data-governance detail.

Why it matters: HKR-H, K, and R all pass: Meta tying employee interaction data to model training is a strong, discussable story. I keep it at 80, not P1, because the body confirms mouse and click signals but does not disclose keystroke scope, consent, or retention.

X · @dotey

Anthropic quietly removed Claude Code from the $20 Pro plan on its pricing page without an announcement

Anthropic was spotted removing Claude Code from the $20 Pro plan on its pricing comparison page without an announcement. The snippet says help docs also removed the inclusion, while the Claude Code product page and support bot still say it is included, and some Pro users report access still works; the post does not disclose Anthropic’s formal explanation or effective date. The key issue is price floor: if confirmed, entry cost for Claude Code rises from $20 to $100 per month.

Why it matters: The story matters because it may raise Claude Code’s entry price from $20 to $100, giving it HKR-H, HKR-K, and HKR-R. I keep it in featured, not higher, because Anthropic has not confirmed scope, timing, or treatment of existing Pro users.

Hacker News front page

Anthropic removes Claude Code from the $20/month Pro subscription for new users

Anthropic was reported to remove Claude Code from the $20/month Pro plan for new users, while saying existing Pro and Max subscribers are unaffected. The cited evidence: an April 10 archived help page said “Pro or Max plan,” the current page says “Max plan,” and Amol Avasare said this is a test on about 2% of new prosumer signups. The key issue is whether pricing shifts fully to Max or API billing; the post does not disclose retroactive scope or a final rollout timeline.

Why it matters: This clears all three HKR axes: the rollback is a strong hook, the post adds concrete evidence via help-page changes and a ~2% test, and it hits Claude users' cost and access concerns. Scope is still limited to new-user testing and no formal rollout timeline is disclosed, so it’s

X · @dotey

OpenAI launches ChatGPT Images 2.0, available to all ChatGPT and Codex users starting today

OpenAI made ChatGPT Images 2.0 available today to all ChatGPT and Codex users, and also opened the gpt-image-2 API. The RSS snippet says it supports up to 2K output, aspect ratios from 3:1 to 1:3, and more reliable non-English text rendering. In thinking mode, it can search the web, generate multiple styles, and self-check outputs; that tier is limited to Plus, Pro, and Business, with Enterprise not yet available.

Why it matters: This is a substantive OpenAI product update: ChatGPT Images 2.0 rolls into ChatGPT, Codex, and the gpt-image-2 API, with concrete facts on resolution, aspect ratios, and thinking-mode limits. HKR-H/K/R all pass, but the source is a short repost-style summary and omits pricing and

X · @OpenAI

Introducing ChatGPT Images 2.0

OpenAI introduced ChatGPT Images 2.0 as an image model for complex visual tasks and directly usable visuals. The RSS snippet cites sharper editing, richer layouts, and “thinking-level intelligence,” but the post does not disclose model size, pricing, latency, or rollout scope.

Why it matters: OpenAI’s official post makes this a source-authoritative product update, and the “Images 2.0” framing gives it HKR-H plus HKR-R. I kept it near the featured floor because the post lacks model details, pricing, latency, benchmarks, and rollout scope, so HKR-K fails.

Bloomberg Technology

OpenAI unveils new image model that is better at charts and diagrams

OpenAI released an update to its image generation software to produce more accurate, complex charts and scientific diagrams. The RSS snippet does not disclose the model name, launch timing, pricing, benchmarks, or technical method. The real signal is a push into professional use cases, not generic image quality.

Why it matters: Bloomberg gives this a source-authority tiebreak: OpenAI is targeting a high-value weakness in image generation, so HKR-H and HKR-R pass. HKR-K misses because the snippet lacks the model name, rollout, price, benchmarks, and mechanism, keeping it at the featured floor.

The Verge · AI

OpenAI’s updated image generator can now pull information from the web

OpenAI said ChatGPT Images 2.0 can pull information from the web when a thinking model is selected, helping generate multiple images from one prompt. It runs on GPT Image 2 and is available to ChatGPT Plus, Pro, Business, and Enterprise users; the post does not disclose rollout timing, usage limits, or pricing changes. The key shift is web-grounded multi-image generation, not just image quality.

Why it matters: This is a substantive OpenAI image update. HKR-H/K/R all pass because web-grounded generation plus multi-image output changes real workflows. I keep it at 75 because rollout timing, usage caps, and pricing changes are not disclosed.

X · @dotey

Google splits Gemini Deep Research into Deep Research and Deep Research Max

Google split Gemini Deep Research into Deep Research and Deep Research Max, with public preview starting today in paid Gemini API tiers. Both run on Gemini 3.1 Pro; one targets speed and cost, while Max runs longer with more compute and repeated search and reasoning. The update adds MCP support for sources such as FactSet, S&P, and PitchBook, plus files, code execution, and File Search; the post does not disclose pricing.

Why it matters: This is a substantive Google product update: Deep Research enters paid Gemini API preview with a standard/Max split for cost-speed vs longer-running compute. HKR-H/K/R all pass, but pricing, rate limits, and performance deltas are not disclosed, so it stays in the 78-84 band.

The Verge · AI

Celebrities will be able to find and request removal of AI deepfakes on YouTube

YouTube is expanding its AI deepfake monitoring tool to Hollywood celebrities, letting enrolled public figures find impersonation videos and request takedowns. Flags are reviewed under YouTube's privacy policy, so not every request is approved. The tool was tested with creators last fall and expanded to politicians and journalists in March; the post does not disclose rollout size or timing.

Why it matters: This is a meaningful platform-safety update, not model news: YouTube lets enrolled celebrities search for impersonation videos and request removal, with review under privacy rules. HKR-H/K/R all pass, but the scope is still a mid-weight product update, so it lands at 74 and tier=

Apr 21Tuesday

QbitAI · WeChat

Mystery model Elephant: 100B parameters reaches same-scale SOTA with high token efficiency

Ant Group's Inclusion AI team is identified as the maker of Elephant, a 100B-parameter model with 256K context and 32K output shown on OpenRouter. The post reports tests on bug fixing, summarizing a 3,000-word meeting note, and a light agent loop, plus AI BENCHY figures of about 2,500 output tokens, about 1 second average latency, and 9.6/10 consistency; the post does not disclose training details, pricing, or an official model card.

Why it matters: HKR-H/K/R all pass: a 100B model posting same-scale SOTA with token efficiency is a strong hook, and the piece includes 256K/32K, ~1s latency, 9.6/10 consistency, plus failure cases. It stays below p1 because training details, pricing, and an official model card are not disclosed

Hacker News front page

CrabTrap: An LLM-as-a-judge HTTP proxy to secure agents in production

Brex open-sourced CrabTrap, an HTTP proxy that intercepts every agent request and allows or blocks it against a policy in real time. The page shows a dual path of static rules plus an LLM judge, and logs whether each decision came from rule matching or model judgment; the post does not disclose the model, latency overhead, or error rates.

Why it matters: This lands on HKR-K and HKR-R, with HKR-H from the 'LLM-as-a-judge HTTP proxy' hook. The open-source artifact and execution-layer mechanism are concrete, but the post does not disclose the judge model, latency overhead, or false-positive rate, so it stays in the high 70s.

Ben's Bites

That's My Designer - Claude

Anthropic added a Design tab to Claude that asks 5-10 interactive questions, then builds wireframes or high-fidelity prototypes. The post says image-to-design works well; in research preview it has separate limits, and the $20 plan appears to allow only 2-3 large generations per week. The sharper point is usability: the author says Claude Cowork depends on connectors and plugins that average users may not find.

Why it matters: Anthropic adding a Design tab to Claude is a clear hook for a Claude-heavy audience. The post includes first-hand, testable details—5-10 interaction turns and only 2-3 large generations per week on the $20 plan—so HKR-H/K/R all pass, but this is still a single-feature update, not

Synced · WeChat

Sergey Brin revives founder mode? Google forms a strike team to focus on AI coding

Google has formed an AI coding strike team led by Sebastian Borgeaud, with Sergey Brin and Koray Kavukcuoglu directly involved, to improve long-context coding and internal code automation. The pressure signal cited is that Google said about 50% of its code is written by coding agents and reviewed by engineers, while Anthropic staff claimed 100% code use by Claude Code and Opus 4.5; the post does not disclose team size, launch timing, or the exact Google model version. The key issue is whether Google can turn private codebase training into stronger public models.

Why it matters: HKR-H/K/R all pass: the founder-return angle is clickable, and the piece includes Google's ~50% agent-written-code claim. It stays below p1 because no public launch is disclosed, and team size, timing, and model version are missing.

OpenAI News

Introducing ChatGPT Images 2.0

OpenAI introduced ChatGPT Images 2.0 as a new image generation model, highlighting better text rendering, multilingual support, and visual reasoning. The RSS snippet names only these three upgrades; the post does not disclose architecture, resolution, pricing, latency, or availability. What matters is whether text fidelity and multilingual consistency improve in real use; for now, only headline-level details are disclosed.

Why it matters: A primary-source OpenAI image update clears HKR-H and HKR-R: the 2.0 label and text-rendering claim hit real workflows. HKR-K is weak because the post discloses only three upgrade areas; resolution, price, latency, architecture, and rollout are absent, so it stays just above the

Xinzhiyuan · WeChat

OpenAI launches Chronicle research preview for Codex with screen context

OpenAI launched Chronicle research preview for Codex on April 21. It is limited to ChatGPT Pro users on Mac and reads recent screen context to reduce repeated background prompts. OpenAI says data is “primarily processed locally,” but the post says some cases use cloud help; The Next Web reports screenshots are uploaded and local memories are unencrypted, while upload share and retention time are not disclosed.

Why it matters: HKR-H lands because Codex can read recent screen state, not just pasted prompts. HKR-K lands on concrete constraints—ChatGPT Pro only, Mac only, local-first with some cloud assist—and HKR-R lands on the workflow/privacy nerve for coding agents. Research-preview scope keeps it at

Xinzhiyuan · WeChat

Huawei launches Pura X Max with debut Xiaoyi companion AI

Huawei launched Pura X Max on April 20 and debuted Xiaoyi companion AI on HarmonyOS 6.1. The post says it can be invoked by double-tapping the nav bar or voice, read screen content with consent, collect tasks across apps into Calendar, and connect with Amap and Didi. The key point is system-level cross-app access and persistent side-panel UX; the post does not disclose price, model specs, or coverage.

Why it matters: It clears all three HKR axes: the OS-side companion AI is a strong hook, and the post gives concrete mechanisms like consent-gated screen reading and cross-app task collection. I kept it in featured, not higher, because price, model details, and rollout coverage are not disclosed

X · @dotey

GitHub paused new sign-ups for Copilot Pro, Pro+, and Student on April 20

GitHub paused new sign-ups for Copilot Pro, Pro+, and Student on April 20, leaving only Copilot Free open to new users. The post says Pro+ now has more than 5x Pro usage, Claude Opus 4.7 is limited to Pro+, and users can request cancellation with a full April refund from Apr 20 to May 20. What matters is the price stayed fixed while access, quotas, and model tiers tightened first.

Why it matters: This is not a capability launch; it is a meaningful Copilot packaging clampdown on entry, quotas, and model access. HKR-H/K/R all pass on the unexpected restrictions, concrete tier changes, and direct developer impact, but the source is an X post rather than a primary GitHub note

Hacker News front page

OpenAI ad partner now selling ChatGPT ad placements based on "prompt relevance"

The headline says an OpenAI ad partner is already selling ChatGPT ad placements using “prompt relevance” for targeting. The link points to an Adweek report on StackAdapt, but only an RSS snippet is provided. The post does not disclose placement, auction logic, pricing, reach, or launch timing; the key issue is whether chat context is becoming ad inventory.

Why it matters: HKR-H and HKR-R pass: selling ChatGPT ads by prompt relevance is a sharp hook that touches monetization and trust. HKR-K is weak because the report, as surfaced here, does not disclose placement, auction, pricing, scale, or launch timing, so this stays low-featured.

X · @claudeai

In Cowork, Claude can now build live artifacts: dashboards and trackers connected to your apps and files

Claude added live artifact building in Cowork, letting users create dashboards and trackers tied to apps and files. Opening an artifact refreshes current data; the post does not disclose supported apps, file sources, or permission controls.

Why it matters: HKR-H/K/R all pass: the hook is live artifacts that connect to apps/files and refresh on open. This is a substantive Claude workflow update and gets the Claude bump, but the post omits connector scope, permission model, and rollout details, so it lands in the high 70s, not p1.