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Models that plan, call tools and finish multi-step tasks on their own — from Claude Code and Manus to agent frameworks and benchmarks.

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May 28Thursday

AI HOT (Curated Pool)

Perplexity Computer Now Integrates with Microsoft Office

Perplexity Computer is now available in Microsoft Excel, Word, PowerPoint, and Outlook, letting users access Computer from the app sidebar to coordinate work, draft documents, model data, create presentations, and handle email.

Why it matters: HKR-H/K/R pass: Perplexity brings Computer into four Office apps with sidebar workflows, a useful product fact and competitive hook. Price, permission model, enterprise rollout, and measured results are not disclosed, so it stays at the featured threshold.

TechCrunch · AI

Sneak peek at new Siri app reveals Apple’s plans to take on ChatGPT and more

The title says a new Siri app preview shows Apple’s plan to compete with ChatGPT. The RSS snippet only discloses an iOS 27 AI overhaul, a redesigned Siri experience, and a standalone Siri app; it does not disclose launch timing or feature parameters.

Why it matters: HKR-H/R are strong because Apple is testing a standalone Siri app against ChatGPT. HKR-K is thin: iOS 27 AI revamp and redesign are disclosed, timing and specs are not, so it sits just above featured.

QbitAI · WeChat

A New Paradigm for GUI Agent Trajectories: FSMs Generate Trajectories at $0.04 Each

AutoWebWorld synthesized 29 web environments, 875 pages, and 11,663 verified trajectories at about $0.04 per trajectory, using FSM-defined states, preconditions, and transitions to verify GUI agent tasks instead of human labeling or an LLM judge.

Why it matters: HKR-H/K/R all pass: $0.04 per trace, 11,663 verified traces, and FSM state checks give concrete hooks for GUI-agent data and eval cost. The source is not a top lab release, so it stays in the 78–84 research-tool band.

QbitAI · WeChat

Behind DeepSeek V4's Chip-Model Co-Design, China's Compute Ecosystem Gains Speed

QbitAI says DeepSeek V4 validated Ascend chip-model co-design, with CANN open-sourcing 65 repositories and supporting day-zero adaptation for more than 70 mainstream models, while AIGCode reported 65% MFU in MoE pretraining on Ascend.

Why it matters: HKR-H/K/R all pass, but this is mainly a compute-ecosystem progress story, not a DeepSeek V4 capability release. Concrete repo, adaptation, and MFU numbers lift it into featured, below must-write.

NVIDIA Blog

NVIDIA Research Advances Robotics From Simulation to the Real World

NVIDIA Research presented 8 ICRA papers on sim-to-real robotics: ScheduleStream delivered a 3x speedup for multi-arm planning, COMPASS reached about 80% success across 20 real-world navigation trials, and Grasp-MPC achieved about 75% real-robot grasping success.

Why it matters: HKR-K and HKR-R are strong: the post gives concrete sim-to-real numbers from ICRA and addresses robot deployment reliability. HKR-H is moderate but passes on the real-world success-rate hook.

Mistral AI

Mistral upgrades Le Chat into unified agent Vibe, covering office work and coding

Mistral upgraded Le Chat into a unified AI agent called Vibe, with one license covering both office work and coding. Existing chats, settings and plans all carry over. Work Mode supports enterprise knowledge search, structured data analysis, document and report generation, scheduled multi-step tasks and reusable skills, and connects to Google Workspace, Outlook, SharePoint, Slack, GitHub and more.

Why it matters: It discloses Vibe's Work Mode, coding mode and CLI updates in full, so readers can judge how it plugs into existing workflows.

Alibaba Technology · WeChat

AI-Native Project Management: Two Git Repos Replace Weekly Updates, Insights, and Metrics Reports

Zhou Zhiwei describes a project-management setup that uses two Git repositories, an AI coding assistant, Shell, and Python to replace at least 80% of manual weekly-update chasing, data moving, chart generation, and engineering-metrics reporting.

Why it matters: HKR-H/K/R all pass: the hook is counterintuitive, the post gives an 80% replacement claim and a two-repo mechanism, and it hits engineering-management toil. This is a strong practical workflow piece, not a model or platform launch.

AI HOT (Curated Pool)

AI Now Summit 2026

Mistral AI announced industrial AI work, a Vibe upgrade, and a 10 MW inference data center in Les Ulis at AI Now Summit 2026; it is working with Airbus, BMW Group, and ASML, and the data center is scheduled to start operating in Q3 2026.

Why it matters: HKR-H/K/R pass: Mistral gives a concrete 10 MW inference site, Q3 2026 timing, and major industrial partners. No new model capability or pricing is disclosed, so it stays just above the featured threshold.

Latent Space

Cognition Raises $1B in $26B Series D

Cognition raised a $1B Series D at a $26B valuation and projects more than $1B ARR by year-end; the post says its valuation rose 2.5× from the $10B Series C eight months earlier, while the rest of the issue summarizes agent, inference, benchmark, and multimodal AI updates from May 26–27, 2026.

Why it matters: HKR-H/K/R all pass: Cognition’s $1B Series D at a $26B valuation is large, and projected year-end ARR above $1B gives a concrete business signal. This is not a model launch, but it is must-write funding news for AI coding agents.

Xinzhiyuan · WeChat

Tsinghua Team Open-Sources PilotDeck Agent System, Claims 70% Token Cost Reduction

Tsinghua THUNLP, ModelBest, OpenBMB, and AI9stars open-sourced PilotDeck; the article says its sub-agent routing reduced cost from $12.58 to $2.83 in a Xiaohongshu content-generation test, while preserving separate WorkSpaces, editable memory, and per-session routing logs.

Why it matters: HKR-H/K/R all pass: PilotDeck has a clear agent-cost hook, a concrete routing mechanism, and $12.58 to $2.83 data. It stays in the 78–84 band because this is a tool release, not a major model or platform launch.

Synced · WeChat

ICML 2026: AutoMoT reaches SOTA on Bench2Drive and nuScenes

NTU AutoMan Lab, Harvard, and Xiaomi Auto proposed AutoMoT, a unified VLA driving model using a 4B Qwen3-VL Understanding Expert and a 1.6B Action Expert with asynchronous inference, reaching 89.42 DS and 74.09% SR on Bench2Drive with AutoMoT+.

Why it matters: HKR-H/K pass via the async VLM-driving setup and concrete Bench2Drive numbers. The autonomy focus narrows HKR-R, so this sits at the featured threshold rather than the 78+ research tier.

AI HOT (Curated Pool)

NVIDIA Releases AI Framework Polar, Raising Codex Benchmark Score by 594.74%

NVIDIA’s research team open-sourced Polar, an agent reinforcement learning framework that connects GRPO training at the model API boundary without rewriting Codex CLI, Claude Code, Qwen Code, or Pi; on Qwen3.5-4B, Polar raised Codex pass@1 on SWE-Bench Verified from 3.8% to 26.4%, while prefix_merging cut training steps from 1,185 to 218.

Why it matters: HKR-H/K/R all pass: NVIDIA open-sourced Polar with a concrete GRPO mechanism and SWE-Bench Verified numbers. This is a strong research/open-source item, not a major model or product release, so it stays in the 78–84 band.

AI HOT (Curated Pool)

Grok Build 0.1 on API

xAI released Grok Build 0.1 in public beta through the xAI API for agentic coding tasks, with throughput above 100 tokens per second and pricing at $1 per million input tokens and $2 per million output tokens.

Why it matters: HKR-H/K/R all pass, but this is a 0.1 public-beta API and pricing launch; benchmarks, context window, and task success rates are not disclosed. It fits a solid mid-weight product update at 78, featured not p1.

AI HOT (Curated Pool)

Security Changes in the AI Agent Era

Lemonade CISO Jonathan Jaffe says a single endpoint can run 200 to 10,000 agents, so security teams need to assign identity to each agent and enforce policies at the point of action, beyond current identity and access management systems.

Why it matters: HKR-H/K/R all pass, but this is an event-recap commentary rather than a product or research release. The concrete signal is the endpoint agent count and identity-control model, placing it at the 72-77 featured threshold.

AI HOT (Curated Pool)

Cognition AI raises over $1B, targets 10x software engineering productivity

Cognition AI raised over $1 billion at a $26 billion pre-money valuation, while annualized revenue grew from $37 million to about $492 million in one year, and Devin is positioned as an autonomous junior engineer that can plan, test, and deploy through multi-step workflows.

Why it matters: HKR-H/K/R all pass: the story has hard numbers on funding, valuation, and ARR, plus a direct junior-engineer automation angle. Single-post sourcing keeps it below the 95+ industry-shaking band.

AI HOT (Curated Pool)

Using LLMs to secure source code

Anthropic describes a six-step Claude Opus workflow for source-code security: threat modeling, sandboxing, vulnerability discovery, validation, triage, and remediation; in its open-source scanning work, it disclosed 1,596 vulnerabilities by May 22, 2026, with 97 already fixed.

Why it matters: HKR-H/K/R all pass: Anthropic gives a Claude Opus security-audit workflow plus 1,596/97 outcome numbers. It stays below 85 because this is not a new model or platform-level capability release.

AI HOT (Curated Pool)

Cognition becomes the world’s largest independent agent lab

Cognition announced over $1 billion in funding at a $26 billion valuation, with enterprise usage up more than 10x this year and annualized revenue reaching $492 million.

Why it matters: HKR-H/K/R all pass: Cognition’s >$1B raise, $26B valuation, and $492M ARR are hard numbers tied to coding-agent competition and developer workflows. This fits the 85–94 same-day band, with no cross-source bump or deal details.

AI HOT (Curated Pool)

OpenAI Products Support Secure Connections to Private MCP Servers

OpenAI supports ChatGPT, Codex, and the Responses API connecting to internal MCP servers through outbound-only HTTPS, while teams keep those servers inside private networks.

Why it matters: HKR-H/K/R pass: OpenAI adds private MCP server support with outbound-only HTTPS, a concrete enterprise agent integration mechanism. Missing permission model, pricing, and rollout details keep it in the lower featured band.

AI HOT (Curated Pool)

Zero-Trust Security Framework for AI Agents

Anthropic published a zero-trust framework for enterprise autonomous AI agents, saying frontier models compress vulnerability exploitation from months to hours; the post outlines a three-tier architecture, an eight-stage rollout process, and threats including prompt injection, tool poisoning, and memory poisoning.

Why it matters: Anthropic’s agent zero-trust framework clears HKR-H/K/R with a concrete exploit-cycle claim, three-layer architecture, and eight-stage process. Strong safety/agent signal, but not a model launch or major product release.

Bloomberg Technology

Meta to Sell AI Chatbot Subscriptions to Offset Spending

Meta Platforms is selling consumer subscriptions to Meta AI for the first time, aiming to offset hundreds of billions of dollars in AI investments. The RSS snippet does not disclose pricing, launch timing, markets, or feature differences versus the free chatbot.

Why it matters: HKR-H/K/R pass: Bloomberg reports Meta’s first consumer subscription plan for Meta AI, tied to AI spending payback. Missing price, launch timing, and feature split keep it below must-write range.