AI & robotics news brief ·

The climate case for AI remains unproven

By The Daily Prompt

Good morning. The climate case for AI has not been made, even as NVIDIA backs more startup bets in Korea and new tools keep widening where AI shows up, from coding to bot access.

Today in AI

The climate case for AI has not been made

Why it matters: Understanding the gap between AI's potential in climate action and its current application reveals challenges in achieving meaningful carbon reductions. This insight is crucial for future climate strategies.

Source: technologyreview.com ↗

NVIDIA Backs Point2 and Plans Three More Korean AI Startup Investments

Why it matters: NVIDIA's investment in multiple AI startups in Korea enhances the regional technology ecosystem and could accelerate advancements in AI infrastructure and robotics applications.

Source: unite.ai ↗

Harbinger raises $240M after expanding into defense

Why it matters: Harbinger's substantial funding round signifies growing interest and investment in electric and defense vehicle technologies, reflecting broader trends in the automotive and defense industries.

Source: techcrunch.com ↗

SpaceXAI Grok Bot availability just keeps growing - here's which plans offer it

Why it matters: The expansion of SpaceXAI's Grok Bot availability across various subscription plans illustrates the growing accessibility of advanced AI tools, potentially transforming workflows in diverse sectors.

Source: engadget.com ↗

Google AI Releases Elephant-Goldfish Model Plugin for Spec-First Coding

Why it matters: The Elephant-Goldfish Model plugin enhances coding efficiency by introducing structured reviews before code is written, aiming to reduce errors and improve project clarity.

Source: marktechpost.com ↗

Robotics

NXP Launches Modular Robotics Platform for Physical AI Development

Why it matters: This modular robotics platform could accelerate the development timeline for drone and robotic systems, making it easier and faster for developers to produce autonomous solutions.

Source: unite.ai ↗

Agent uses to try

Home & Life Admin · OpenClaw

Use agents to run homeschool planning and app building

A mom split homeschool and coding work across five OpenClaw agents on separate Macs, including lesson planning from photos and a kids’ TV app. Cole finished Mira in four days, and it was installed on a Google TV Streamer. Sylvie’s lesson plans, toy inventory, and photo-to-print workflow all worked, though the setup felt rough at first.

Try this prompt

Help me run a homeschool system for [number] children using the curriculum photos I upload. Turn the photos into a week-by-week lesson plan with subjects, materials, and time estimates, then show me the full plan for approval before you add anything to my calendar, send files, delete items, or deploy anything. Also help me create a simple kids’ TV app for [device/platform], but pause and ask before any installation or release step.

Full write-up and sources →

Games & Simulations · Replit Agent

Build a 3D browser game with an AI agent

A developer used Replit’s agent to try making a 3D browser game entirely in the browser, without installing anything locally. The public excerpt ends before showing what the game was like or whether it worked well, so there’s no listed result, score, or failure. The account also doesn’t describe the agent’s step-by-step process.

Try this prompt

Help me make a 3D browser game in [game engine or library] for [device or browser target]. Start by creating a playable core with [movement/controls], [goal or challenge], a score system, and a restart button. After that, improve the look and feel while keeping the game playable at each step. Before you do anything irreversible, such as publishing, deleting files, or sending code outside the project, stop and ask me to approve the next step. Keep everything runnable in the browser with no local install.

Full write-up and sources →

Sales & Marketing · Claude Cowork, Claude

Use Claude Cowork to build prospect lists in the background

A salesperson had Claude Cowork gather account and market details from ZoomInfo while they handled calls, then checked the results by hand. They said it was helpful for prospecting, but shared no numbers on wins, saved time, or conversions. The limitation was that the human still needed to inspect whatever Claude assembled.

Try this prompt

I’m tied up with calls, so do prospect research in the background for [number] accounts or companies in [market]. For each one, pull the key facts I’d want for outreach: company size, industry, recent developments, and likely contacts in [target roles], using [ZoomInfo or another connected source] if it’s available. Save the findings to [folder or spreadsheet] with the source and a confidence note for each item, then pause after the set is done so I can review it before anything is sent or used in outreach.

Full write-up and sources →

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