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Codex for (almost) everything | OpenAI
Codex for (almost) everything | OpenAI
OpenAI has rolled out a major Codex update that turns it from a terminal helper into a full desktop agent. The new background computer use feature lets Codex operate any Mac app by seeing, clicking, and typing with its own cursor, with multiple agents running in parallel. A built-in browser allows developers to leave comments directly on web pages as instructions. Codex now also uses gpt-image-1.5 for visuals and can resume old conversation threads to keep context alive.
·openai.com·
Codex for (almost) everything | OpenAI
Introducing Claude Opus 4.7 \ Anthropic
Introducing Claude Opus 4.7 \ Anthropic

Opus 4.7 retook the top spot for agentic coding among publicly available models, scoring 64.3% on SWE-bench Pro and SWE-bench Verified. It arrives two months after Opus 4.6, continuing a steady upgrade cadence, and reportedly pulls ahead of GPT-5.4 and Gemini 3.1 Pro on key benchmarks. Pricing stays at $5 per million input tokens and $25 per million output tokens, and the model is live across Claude products, the API, Bedrock, Vertex AI, and Microsoft Foundry.

Why It Matters: There's a real shift happening here. A year ago every lab raced to ship their most capable model the moment it was ready. Now Anthropic is shipping the second-best one on purpose and openly saying the top one found thousands of zero-day vulnerabilities in testing, so only 50 banks and partners get to touch it. With California's SB 53 live and the EU's Code of Practice hitting enforcement in August, expect more "we built it but you can't have it" launches. The frontier is splitting into a public tier and a vault tier, and where your model sits is becoming a policy decision, not a product one.

·anthropic.com·
Introducing Claude Opus 4.7 \ Anthropic
isabelle on X: "i made a map to monitor data centers all around the world tracks construction + nearby power plants + local AI legislation, and follows the politicians behind their bans (+ if they're getting paid to do so!) https://t.co/oKVjhXLGzv" / X
isabelle on X: "i made a map to monitor data centers all around the world tracks construction + nearby power plants + local AI legislation, and follows the politicians behind their bans (+ if they're getting paid to do so!) https://t.co/oKVjhXLGzv" / X
Data Center Map: This interactive map tracks the construction of AI data center projects and legislation in your region
·x.com·
isabelle on X: "i made a map to monitor data centers all around the world tracks construction + nearby power plants + local AI legislation, and follows the politicians behind their bans (+ if they're getting paid to do so!) https://t.co/oKVjhXLGzv" / X
Chrome Web Store
Chrome Web Store

How to Use Chrome’s New AI-Powered ‘Skills’

Go to ‘Chrome Web Store’ and download the ‘Gemini in Chrome’ extension

Once done, login with your Gemini account and start using the Gemini sidebar

Write any prompt you want to reuse (e.g., “Summarize this page” or “Turn this into a LinkedIn post”)

After sending the prompt save it as a ‘Skill’ and give it a clear name

When browsing any webpage, trigger your saved Skills by typing ‘/’ or ‘+’ and select your saved Skill from the list

The Skill will automatically execute your saved prompt on that content

Use Skills for repetitive tasks like summarizing articles, drafting emails, analyzing tabs, or generating posts

·chromewebstore.google.com·
Chrome Web Store
Automate work with routines - Claude Code Docs
Automate work with routines - Claude Code Docs

Here's the 5-step setup for non-technical users:

Go to claude.ai/code/routines and click "New routine."

Name it (e.g., "Morning email triage").

Write the prompt like an SOP. Routines run hands-off, so be more precise than a normal Claude chat. Example: "Pull my Gmail unreads. For each one, check for prior conversations with that contact. Draft a reply. Send me the drafts in Slack."

Pick a trigger: schedule (daily at 5 AM), webhook (a URL that other apps can "ping" to fire the routine automatically; e.g., a new Gmail arrives → routine runs), or API call (an API is how programs talk to each other; "call" means any script or tool you run can kick off the routine on demand from anywhere).

  1. Add connectors under Settings → Connectors. Sign in to Gmail, Slack, Notion, etc. (uses OAuth, the same "Log in with Google"-style flow you've clicked through a hundred times) so the routine can read and write in those tools.

Hit "Run now" to test.

·code.claude.com·
Automate work with routines - Claude Code Docs
Ernie Image - The Rundown AI
Ernie Image - The Rundown AI
ERNIE-Image - Baidu's 8B open-weight text-to-image model that nears top rivals on benchmarks despite its small size
·rundown.ai·
Ernie Image - The Rundown AI
AI-Supported Reading Comprehension Across Disciplines
AI-Supported Reading Comprehension Across Disciplines
This entry presents a conceptual approach for how artificial intelligence (AI) can be used to support high school and college students’ reading comprehension of complex texts across disciplines, using the Revised Metacognitive Awareness of Reading Strategies Inventory (MARSI-R), as an organizing framework. Drawing on research in literacy, learning sciences, and educational technology, the entry conceptualizes AI tools as potential metacognitive supports that can assist learners in planning, monitoring, and evaluating reading. At the same time, it distinguishes between AI use that risks promoting cognitive outsourcing, particularly when tools replace rather than support readers’ active regulation of meaning-making. The entry emphasizes the importance of instructional design and teacher mediation in aligning AI-supported reading practices with established models of metacognitive strategy use. Central to this discourse is the distinction between cognitive scaffolding, using AI to support and extend students’ strategic engagement within their zone of proximal development, and cognitive outsourcing, using AI to bypass cognitive effort entirely, thereby undermining active meaning-making. A distinctive feature of this entry is its use of MARSI-R not only as an assessment instrument but also as a design heuristic for structuring AI-supported reading interactions. By mapping AI affordances onto MARSI-R’s three strategy dimensions, the entry provides a conceptual bridge between established metacognitive theory and the practical design of AI-enhanced reading environments. This framing distinguishes the present contribution from prior work that treats AI tools and metacognitive frameworks as separate domains. Using MARSI-R’s dimensions of Global, Problem-Solving, and Support reading strategies, this entry describes how AI may provide personalized prompts and feedback that encourage strategic engagement with texts in STEM, the humanities, and social sciences. Illustrative classroom examples and research findings are used to highlight AI’s potential to support students in becoming “architects of their own understanding,” while also addressing ethical considerations such as overreliance on automated summaries and data privacy concerns. This entry offers a practical and theoretically grounded roadmap for integrating AI to support thoughtful, reflective reading across disciplines.
·mdpi.com·
AI-Supported Reading Comprehension Across Disciplines
WordPress.com lets AI agents write, publish, and manage your site
WordPress.com lets AI agents write, publish, and manage your site
Automattic has added write capabilities to WordPress.com’s MCP integration, giving AI agents like Claude and ChatGPT the ability to create posts, build pages, manage comments, and restructure content, all through natural conversation, with
·thenextweb.com·
WordPress.com lets AI agents write, publish, and manage your site