Greetings Qrew,

Whether you're diving into AI for work, side projects, or just out of curiosity — this issue of The Creators Hive brings you practical insights, hands-on learning, and tools you can actually use.

1. 3 million UK jobs at risk, but new roles too
2. Nvidia’s Orchestrator‑8B chooses the “right” AI tools
3. Google’s Antigravity AI for autonomous coding
4. OpenAI Vendor Breach: What API Users Need to Know
5. Cooling and power are a big AI bottleneck
6. Tool Recommendation of the Day: mult.dev

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3 million UK jobs at risk, but new roles too

A new report by the UK’s National Foundation for Educational Research (NFER) which models how AI and automation might change the UK labour market by around 2035.​ The “3 million jobs at risk” figure means that up to 3 million existing, mainly low‑skilled roles could disappear or shrink significantly, while the total number of jobs in the economy could still grow because new, more skilled roles are created.

Key details:

• By 2035, up to 3M low-skilled jobs in the UK may disappear due to automation.
• Around 2.3M higher-skill jobs may be created, leading to uneven job growth.
• Lower-skilled and entry-level workers are most at risk of displacement.
• High-skill roles in engineering, healthcare, management, and AI are expected to grow.
• Some studies claim even high-paying knowledge jobs are being affected, so the risk is still debated.

Why it matters: AI is reshaping which skills are valuable and which jobs are secure, so people who adapt early will have a clear advantage. Students, workers, and businesses that actively build AI skills plus human strengths like communication and problem‑solving will be better positioned to move into the new roles AI creates instead of being stuck in the roles it automates away.

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Nvidia’s Orchestrator‑8B chooses the “right” AI tools

​Nvidia’s Orchestrator‑8B is a small language model (around 8 billion parameters) that acts like a “traffic controller” for AI systems: instead of solving every task itself, it decides which other model or tool is best for each step in a workflow. It is trained with reinforcement learning so it can learn, over time, which choices give the best results for speed, cost, and accuracy.

Key details:

• Uses reinforcement learning so it improves its tool‑selection strategy based on feedback.
• Designed to work with multiple models and tools (LLMs, vision models, APIs, databases) inside one pipeline.
• Focuses on choosing, routing, and sequencing tasks, not just generating text.
• “Small” model size means lower latency and cost, so it can run close to where the apps are deployed.
• Aimed at enterprise and developer scenarios with many AI services running together.

Why it matters: Orchestrator‑8B matters because as companies and developers use more and more specialized AI tools, they need something smart to coordinate them so the overall system is faster, cheaper, and more reliable instead of a messy collection of separate models. For marketers, entrepreneurs, and coders, this kind of “AI that manages other AIs” is a big step toward practical AI agents that can handle complex real‑world workflows with minimal manual glue code.

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Google’s Antigravity AI for autonomous coding

​Google Antigravity is an “agent‑first” AI coding platform and IDE where autonomous AI agents can plan, write, run, test, and debug code across your editor, terminal, and browser with much less manual typing. It turns coding from writing every line yourself into telling the AI what you want built, then supervising and correcting its work as it executes full workflows.

Key details:

• AI-powered IDE with a VS Code-like interface.
• Uses Gemini 3 and other models as autonomous coding agents.
• Two modes: hands-on editor assist or full agent-driven workflows.
• Agents can plan tasks, edit multi-file code, run tests, debug, and update docs.
• Adjustable autonomy levels-from asking permission to acting independently.
• Free public preview available.

Why it matters: Antigravity shifts AI from autocomplete to a junior developer that executes full tasks, speeding up builds and reducing manual coding-but also raising questions about security and developer skills.

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OpenAI Vendor Breach: What API Users Need to Know

​OpenAI announced that one of its analytics partners, Mixpanel, had a security issue where an attacker got access to some API users’ basic profile info. The good news: no chats, API keys, passwords, or payment info were involved.

Key details:

• The breach took place on November 9 through Mixpanel’s tracking tools used on the OpenAI API dashboard.
• The attacker downloaded some user profile details like names, emails, city/state, and device info.
• This only affected API users, not regular ChatGPT users.
• OpenAI has now removed Mixpanel and is contacting anyone whose data was exposed.
• They are warning users to watch out for phishing emails since attackers may try to use the leaked info.

Why it matters: Even though sensitive data stayed protected, this shows how third-party tools can become weak spots. The biggest concern right now is scammers trying to trick users using their email details. Stay alert!

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Cooling and power are a big AI bottleneck

​The rapid growth of AI data centers is now limited not just by chips, but by how much electricity these facilities can get and how effectively they can remove the huge amounts of heat those AI servers produce. If cooling or power fail, AI data centers can overheat, slow down, or even shut off critical services.

Key Features

• AI chips use huge amounts of power and generate extreme heat that traditional cooling struggles to handle.
• Cooling alone can take up to 40% of data-center energy, making it costly and hard to scale.
• Data centers are moving to liquid and immersion cooling, which is efficient but complex and water-intensive.
• Cooling failures have already caused real outages, showing the operational risk.
• Growing AI demand is straining power grids, raising energy costs, and forcing new power investments.

Why it matters: AI’s growth now depends on whether we can supply enough reliable power and advanced cooling. If not, AI could become slower, more expensive, and limited to regions with strong infrastructure.

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Tool Recommendation of the Day: mult.dev

Website: https://mult.dev/​

What is it?

Mult.dev is a web and mobile tool for turning travel routes into short, animated map videos with moving paths, icons, and photos ideal for Reels, TikTok, YouTube Shorts, and travel blogs. It focuses on one thing travel map animations and makes it possible in a few clicks without video‑editing skills.

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What makes it unique?

• Purpose-built for travel route storytelling (flights, drives, hikes, cruises).
• Trip GPT: describe your journey in plain English → route auto-generated.
• Supports real GPS data (GPX, KML, GeoJSON) + manual waypoints.
• One-time Pro packs (5–100 videos) — no subscription required.
• Deep customization: transport icons, flags/emojis, colors, music, HD up to 1920p/60fps.

Use case magic

• Travel creators making cinematic trip intros for vlogs/Reels.
• Tour agencies visualizing itineraries for promos and proposals.
• Athletes/outdoor brands animating GPX/Strava routes for recaps.
• Educators/presenters explaining journeys or logistics clearly.

Why it stands out

Mult.dev stands out because it removes almost all friction from making “professional looking” travel map animations: you add locations or a GPX file, tweak style, and it handles the complex camera moves and path animation automatically. For marketers, travel creators, and tour businesses, it’s a niche, highly polished tool that does one job-travel route storytelling-better and faster than general video editors or map screenshots.

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Masterpieces from the Hive 🎨

Here’s what our community has been creating this week using the Hive Wall:

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Prompt: a sunset silhouetting cacti in phoenix

Prompt: A lush and healthy Rubber plant growing in a pot, full plant visible with natural leaf shape and texture, slightly upward camera angle, realistic soft outdoor lighting, highly detailed and vibrant foliage, clean minimalistic aesthetic, with a softly blurred garden background featuring grass, plants, and natural daylight — realistic lifestyle plant photography.

Prompt: create me a super performance driven 3d render of a sports supplement logo using the 3 letters TFP it should embody power, strength and peak human performance. Make it gender neutral. Clean style. Could double up as a fashion brand in merch if needed. Very cool very modern.

Prompt: kitty With Christmas hat.

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