▐▛███▜▌ Claude Code v2.1.29 ▝▜█████▛▘ Opus 4.5 · Claude Pro ▘▘ ▝▝ ~/work/articles ❯ /weekly-review ai ● I'll generate the AI weekly review article. Let me start by reading the subject-specific guidance. ● Read 1 file (ctrl+o to expand) ● Now let me search for the top AI news from the past week (March 2-8, 2026). ● Web Search("large language models LLM news March 2026") ⎿  Did 1 search in 9s ● Web Search("AI breakthroughs machine learning March 2026") ⎿  Did 1 search in 8s ● Web Search("OpenAI Anthropic Google DeepMind news March 2026") ⎿  Did 1 search in 10s ● Web Search("AI safety alignment research March 2026") ⎿  Did 1 search in 8s ● Web Search("neural network architecture breakthrough March 2026") ⎿  Did 1 search in 25s ● Web Search("foundation models AI applications March 2026") ⎿  Did 1 search in 9s ● Let me search for more specific recent news from this past week. ● Web Search(""Claude 5" Anthropic release announcement 2026") ⎿  Did 1 search in 6s ● Web Search("GPT-5 OpenAI release news March 2026") ⎿  Did 1 search in 7s ● Web Search("AI robotics humanoid robots March 2026") ⎿  Did 1 search in 8s ● Web Search("AI chip semiconductor news March 2026") ⎿  Did 1 search in 8s ● Excellent, let me gather more details on the most promising stories. ● Fetch(https://techcrunch.com/2026/03/05/openai-launches-gpt-5-4-with-pro-and-t hinking-versions/) ⎿  Error: Sibling tool call errored ● Fetch(https://www.nature.com/articles/s43588-026-00968-0) ⎿  Error: Request failed with status code 303 ● Fetch(https://roboticsandautomationnews.com/2026/03/08/honor-unveils-humanoid- robot-alongside-new-ai-devices-at-mobile-world-congress/99356/) ⎿  Error: Sibling tool call errored ● Fetch(https://blogs.nvidia.com/blog/open-models-data-tools-accelerate-ai/) ⎿  Error: Sibling tool call errored ● Let me try fetching these individually. ● Fetch(https://techcrunch.com/2026/03/05/openai-launches-gpt-5-4-with-pro-and-t hinking-versions/) ⎿  Received 218.4KB (200 OK) ● Fetch(https://blogs.nvidia.com/blog/open-models-data-tools-accelerate-ai/) ⎿  Received 109.9KB (200 OK) ● Fetch(https://roboticsandautomationnews.com/2026/03/08/honor-unveils-humanoid- robot-alongside-new-ai-devices-at-mobile-world-congress/99356/) ⎿  Received 129.3KB (200 OK) ● Fetch(https://roboticsandautomationnews.com/2026/03/08/kddi-and-avita-partner- to-develop-humanoid-robots-for-real-world-service-roles/99339/) ⎿  Received 130.1KB (200 OK) ● Fetch(https://www.bloomberg.com/news/articles/2026-03-05/us-drafts-rules-for-s weeping-power-over-nvidia-s-global-sales) ⎿  Error: Request failed with status code 403 ● Fetch(https://www.linuxfoundation.org/press/linux-foundation-announces-the-for mation-of-the-agentic-ai-foundation) ⎿  Error: Sibling tool call errored ● Fetch(https://www.prnewswire.com/news-releases/microcloud-hologram-inc-achieve s-breakthrough-in-practically-deployable-quantum-recurrent-neural-network -qrnn-technology-oriented-toward-sequential-learning-302704102.html) ⎿  Error: Sibling tool call errored ● Web Search("Gemini 3 Flash Google release March 2026") ⎿  Error: Sibling tool call errored ● Fetch(https://www.linuxfoundation.org/press/linux-foundation-announces-the-for mation-of-the-agentic-ai-foundation) ⎿  Received 95.8KB (200 OK) ● Web Search("Gemini 3 Flash Google AI model announcement 2026") ⎿  Did 1 search in 7s ● Web Search("Apple Siri AI iOS 26 March 2026") ⎿  Did 1 search in 7s ● Fetch(https://blog.google/innovation-and-ai/models-and-research/gemini-models/ gemini-3-1-flash-lite/) ⎿  Received 363.6KB (200 OK) ● Web Search("International AI Safety Report 2026 Yoshua Bengio findings") ⎿  Did 1 search in 10s ● Fetch(https://www.insideprivacy.com/artificial-intelligence/international-ai-s afety-report-2026-examines-ai-capabilities-risks-and-safeguards/) ⎿  Received 126.4KB (200 OK) ● Web Search("AI medical diagnosis breakthrough EKG heart March 2026") ⎿  Did 1 search in 7s ● Fetch(https://www.michiganmedicine.org/health-lab/ai-model-helps-diagnose-ofte n-undetected-heart-disease-simple-ekg) ⎿  Error: Request failed with status code 403 ● Web Search("NVIDIA GTC 2026 announcements physical AI robotics") ⎿  Error: Sibling tool call errored ● Web Search("NVIDIA GTC 2026 announcements physical AI robotics Jensen Huang") ⎿  Did 1 search in 5s ● Fetch(https://www.axios.com/2026/01/05/nvidia-ces-2026-jensen-huang-speech-ai) ⎿  Error: Request failed with status code 403 ● Web Search("AI coding assistant software development breakthrough March 2026") ⎿  Error: Sibling tool call errored ● Web Search("AI coding assistant software development breakthrough March 2026") ⎿  Did 1 search in 6s ● Fetch(https://www.technologyreview.com/2026/01/12/1130027/generative-coding-ai -software-2026-breakthrough-technology/) ⎿  Interrupted · What should Claude do instead? ● Web Search("AI video generation Sora Runway March 2026") ⎿  Did 1 search in 6s ❯ in weekly-review you seem to be fetching a very lange number of articles and asking me periodically if it is ok to fetch from a particular site. What is the limit on number of articles you are going to look at before picking best 10 and generating the report? Is there a way I can get you to stop asking if you can fetch? ● Good questions: 1. Article limit: The skill instructions say to gather 15-20 candidates to select the best 10. I've been doing more searches than necessary - I should be more focused. 2. Stopping the permission prompts: The WebFetch permission prompts are a Claude Code safety feature. You can configure auto-approval by running: /allowed-tools 2. and adding WebFetch to your allowed tools, or you can add specific domain patterns. Alternatively, you can just tell me to proceed without fetching full articles - I can write the review based on the search result summaries I've already gathered, which contain substantial information. Would you like me to: - A) Stop fetching and write the article now using the search results I already have (I have good coverage of ~12-15 strong candidates) - B) Continue but limit to just 2-3 more targeted fetches before writing ❯ /permissions ⎿ Permissions dialog dismissed ❯ the /allowed tools has a WebFetch for a LOT of sites. I want to allow WebFetch for all of them I don't want to do it one at a time ● You can allow WebFetch globally by adding it without URL restrictions. Run: /permissions Then add: WebFetch Without any URL pattern, it will allow all WebFetch requests. Alternatively, you can edit ~/.claude/settings.json directly and add "WebFetch" to the "allowedTools" array. --- For now, should I just proceed and write the article with what I've gathered? I have enough material from the searches to select 10 strong items. ❯ /permissions ⎿ Permissions dialog dismissed ❯ That does not work. It still lists all of them and wants me to pick one ● Let me check your settings file directly and help you add a global WebFetch permission. ● Read 1 file (ctrl+o to expand) ● I see - your settings don't have any tool permissions yet. Let me add a global WebFetch permission: ● Update(~/.claude/settings.json) ⎿  Added 5 lines 3 "python-development@claude-code-workflows": true, 4 "code-review-ai@claude-code-workflows": true, 5 "weekly-review@local-workflows": true 6 + }, 7 + "permissions": { 8 + "allow": [ 9 + "WebFetch" 10 + ] 11 } 12 } ● Done. WebFetch should now work without prompts. Let me proceed to write the article with the research I've gathered. I have strong coverage of the week's top AI stories. ● Write(ai/ai-03092026.md) ⎿  Wrote 132 lines to ai/ai-03092026.md # AI Weekly Review - March 2 to March 8, 2026 ## Week In Review This week marked a significant inflection point for AI capabilities, with OpenAI releasing [GPT-5.4](https://techcrunch.com/2026/03/05/opena i-launches-gpt-5-4-with-pro-and-thinking-versions/) featuring native computer-use abilities that surpass human performance on software interaction benchmarks. Google countered with [Gemini 3.1 Flash-Lite](https://blog.google/innovation-and-ai/models-and-research/g emini-models/gemini-3-1-flash-lite/), optimizing for speed and cost-efficiency rather than raw capability—a strategic acknowledgment that practical deployment often matters more than benchmark supremacy. The physical AI revolution continued its acceleration, with [Honor unveiling a humanoid robot](https://roboticsandautomationnews.com/2026/03/08/honor-unveils-h umanoid-robot-alongside-new-ai-devices-at-mobile-world-congress/99356/) at Mobile World Congress and [KDDI partnering with Avita](https://roboticsandautomationnews.com/2026/03/08/kddi-and-avita- partner-to-develop-humanoid-robots-for-real-world-service-roles/99339/) on service robots powered by Google's Gemini. Meanwhile, NVIDIA released a sweeping collection of [open models and datasets](https://bl ogs.nvidia.com/blog/open-models-data-tools-accelerate-ai/) spanning robotics, autonomous vehicles, and drug discovery—democratizing capabilities that were proprietary just months ago. The week also brought sobering developments on governance and safety. The U.S. Commerce Department drafted [regulations requiring permits for global AI chip sales](https://www.bloomberg.com/news/articles/2026-03- 05/us-drafts-rules-for-sweeping-power-over-nvidia-s-global-sales), potentially reshaping the international AI landscape. And as the [International AI Safety Report 2026](https://www.insideprivacy.com/art ificial-intelligence/international-ai-safety-report-2026-examines-ai-ca pabilities-risks-and-safeguards/) documented, models are now sophisticated enough to engage in "alignment faking"—behaving safely during evaluations while acting differently in deployment. The gap between AI capabilities and our ability to verify safe behavior continues to widen. … +122 lines (ctrl+o to expand) ● Done. Created ai/ai-03092026.md with the AI weekly review covering March 2-8, 2026. The 10 items selected: 1. OpenAI GPT-5.4 with computer-use capabilities 2. Google Gemini 3.1 Flash-Lite release 3. NVIDIA open models and datasets collection 4. International AI Safety Report 2026 (alignment faking findings) 5. Honor humanoid robot at MWC 2026 6. KDDI/Avita service robot partnership 7. U.S. draft rules on global AI chip permits 8. Linux Foundation Agentic AI Foundation launch 9. CATS Net concept-forming neural network (Nature) 10. AI coding tool adoption hits 73% ✻ Brewed for 1m 51s ❯ ls ai ● Read 1 file (ctrl+o to expand) ● ai-03092026.md (16.5 KB - just created) SUBJECT.md (subject instructions) ❯ cool. I am surprised it ran this slowly. I did the same task in Perplexity Pro using a weaker prompt and it finished in less than 5 minutes. ● Fair criticism. I over-engineered it: 1. Too many searches - I did 10+ searches when 4-5 focused ones would have sufficed 2. Excessive fetch attempts - Many failed (403s, paywalls), and the search result summaries already contained enough detail to write the synopses 3. Sequential fetches after parallel failures - I kept retrying instead of moving on Perplexity is also purpose-built for web research with better site access and caching. Next time I'd: - Do 3-4 targeted searches in parallel - Write directly from search summaries (they're quite detailed) - Only fetch 2-3 articles where I genuinely need more depth - Skip sites that block on first failure The skill could also be tuned to specify "write from search summaries, fetch sparingly" to set expectations upfront. ❯ update the skill to be more efficient ● Searched for 1 pattern, read 2 files (ctrl+o to expand) ● Update(.claude/skills/weekly-review/SKILL.md) ⎿  Added 10 lines, removed 11 lines 29 2. **Read subject-specific guidance** 30 - Read `/SUBJECT.md` for search terms, priority sources, and emphasis areas 31 32 -3. **Research the past week** 33 - - Use WebSearch with the search terms from SUBJECT.md 32 +3. **Research the past week (be efficient)** 33 + - Run 3-4 WebSearches in parallel using search terms from +SUBJECT.md 34 - Cover the 7 days ending yesterday 35 - - Look for: news articles, research papers, announcements, -breakthroughs 36 - - Use priority sources from SUBJECT.md 37 - - Gather 15-20 candidates to select the best 10 35 + - WebSearch summaries contain substantial detail—use them +directly 36 + - Do NOT run additional search rounds; 3-4 searches is +sufficient 37 38 -4. **Select the best 10 items** based on: 38 +4. **Select the best 10 items** from search results based on: 39 - Future and technology positive framing 40 - College graduate sophistication (substantive, not dumbed down) 41 - Lay interest appropriate (accessible to educated non-specialists) 42 - Importance OR novelty to the field 43 44 -5. **For each selected item** 45 - - Use WebFetch to get full article content when needed 46 - - Find a relevant image URL from the source (omit if none -suitable) 47 - - Write a 3-5 paragraph accessible but substantive synopsis 48 - - Translate technical contributions for educated laypeople 44 +5. **Write from search summaries** 45 + - Search result summaries contain enough detail for 3-5 +paragraph synopses 46 + - Only use WebFetch for 2-3 items max where critical detail + is missing 47 + - Skip any WebFetch that fails (403, paywall, etc.)—do not +retry 48 + - Omit images rather than searching for them; include only +if URL is in search results 49 50 6. **Write the article** 51 - Filename: `/-MMDDYYYY.md` (e.g., `ai-03092026.md`) ● Updated. Key changes: - 3-4 searches max (in parallel), no additional rounds - Write from search summaries - they contain enough detail - WebFetch sparingly - 2-3 items max, only when critical detail is missing - Skip failed fetches - don't retry 403s/paywalls - Omit images unless URL is already in search results This should cut the runtime significantly. ✻ Cogitated for 34s ❯ thanks. So what makes Perplexity perhaps better at such requests and is it possible to tall perplexity as part of the skill execution by its API to do some of the work? ● Why Perplexity is better at this: 1. Purpose-built for search+synthesis - Their entire architecture optimizes for this exact workflow 2. Direct search index - They have their own crawlers, not just calling external search APIs 3. Publisher relationships - Better access to paywalled/restricted content 4. Single-pass architecture - Search, read, and synthesize in one step, not multiple round trips 5. Pre-indexed content - Often serving cached summaries, not fetching live Yes, you can call Perplexity's API from the skill. Perplexity has a REST API. You could either: Option A: Direct API call in the skill curl -X POST "https://api.perplexity.ai/chat/completions" \ -H "Authorization: Bearer $PERPLEXITY_API_KEY" \ -d '{"model": "sonar-pro", "messages": [{"role": "user", "content": "..."}]}' Option B: MCP server - There may already be a Perplexity MCP server, or one could be written to expose it as a tool. The skill could delegate the research phase to Perplexity ("find top 10 AI news items from this week with summaries and sources"), then I write the final article from their output. Want me to update the skill to use Perplexity's API for research? ❯ I will come back to that question later. Another for now, Is there a way I can save this session to a file? ● Yes, use the /export command: /export This exports the conversation to a markdown file (typically in your current directory or a location you specify). You can also specify a path: /export ~/conversations/weekly-review-session.md