🎉 AI Moore's Law, Hollywood Demand Protections, Nvidia Debuts Reasoning, Adobe Releases the Agents
AI Growth Surges, Hollywood Seeks Safeguards, Nvidia Unveils Reasoning, Adobe Launches Agents, Cool AI Tool of the Week!
Welcome to this week’s edition of AImpulse, a four point summary of the most significant advancements in the world of Artificial Intelligence followed by a cool new AI tool I’m trying out this week.
Here’s the pulse on this week’s top stories:
What’s Happening: Researchers at METR have released fresh evidence indicating that the maximum duration of tasks AI can autonomously carry out has been doubling nearly every 7 months since 2019—pointing to a “Moore’s Law” for AI progress.
The details:
The team tracked both human and AI performance on 170 software tasks, spanning quick 2-second judgments up to intensive 8-hour engineering projects.
Current top-tier models like 3.7 Sonnet demonstrate a “time horizon” of 59 minutes, reliably completing tasks that would occupy a skilled human for that long.
Older models (e.g., GPT-4) handle tasks requiring around 8–15 minutes of human effort, while systems from 2019 stall beyond a few seconds.
If this exponential trajectory holds, AI systems could handle human-equivalent work stretching for months by 2030.
Moore’s Law typically states that computational power doubles roughly every two years, driving constant advancements in speed and cost-efficiency.
Why it matters: Observing a consistent growth curve in AI capabilities offers a vital forecasting model for the entire sector. As AI evolves to manage significantly longer and more complicated tasks, it has the potential to radically transform how global industries utilize automation.
What’s Happening: Over 400 Hollywood figures have issued an open letter calling on the Trump administration to dismiss requests from OpenAI and Google that would expand AI training allowances using copyrighted material—fearing they would “openly exploit” creative works.
The details:
The letter directly pushes back against OpenAI and Google’s AI Action Plan submissions, which seek broader fair use safeguards for AI training.
OpenAI describes AI copyright exemptions as a “national security concern,” while Google insists that current fair use provisions adequately support AI innovations.
Notable signatories include Ben Stiller, Mark Ruffalo, Cate Blanchett, Paul McCartney, Taika Waititi, and Aubrey Plaza.
They argue that AI developers can simply “license the rights from owners, just like any other sector would.”
Why it matters: This standoff between Hollywood and AI highlights a clash of perspectives—the rapid-fire innovation ethos of tech vs. deeply entrenched intellectual property laws. However, as AI companies around the globe continue to ingest vast amounts of data outside of these protections, the controversy could be more symbolic than transformative.
What’s Happening: Nvidia has unveiled its Llama Nemotron series of open-source reasoning models, aimed at speeding up enterprise adoption of agentic AI that can tackle intricate problem-solving and decision-making.
The details:
The family includes three variants: Nano (8B), Super (49B), and Ultra (249B), each tailored to different organizational needs.
Early test results show the Super model surpassing both Llama 3.3 and DeepSeek V1 in STEM and tooling benchmarks.
A built-in toggle enables the models to switch between rigorous reasoning and direct answer mode, depending on the task.
Fine-tuning post-training boosts accuracy by 20% over base Llama while delivering a 5x speed advantage compared to competitor open-source reasoners.
Nvidia also plans to launch an “AI-Q Blueprint” framework in April, allowing enterprises to seamlessly integrate AI agents with existing data sources and infrastructure.
Why it matters: Despite coming during a flurry of major releases, Nvidia’s new line of reasoning models underlines the hardware giant’s ambitions to dominate the entire AI stack—from next-generation GPUs to advanced agentic models—positioning it as a formidable presence in the rapidly unfolding era of agent-based AI.
What’s Happening: Adobe has introduced a sweeping AI agent strategy built around its new Experience Platform Agent Orchestrator, rolling out ten specialized agents to handle tasks in enterprise contexts such as customer interactions, marketing workflows, and beyond.
The details:
The platform includes dedicated agents for audience segmentation, content creation, site optimization, and B2B account management across Adobe’s enterprise tools.
A Brand Concierge agent helps companies build personalized chat experiences, a capability that gained urgency after a 1,200% surge in AI-driven traffic to retail sites last month.
Adobe Marketing Agent connects with Microsoft 365 Copilot, so teams can access Adobe’s AI-agent capabilities within familiar Microsoft software.
Adobe is partnering with AWS, Microsoft, SAP, and ServiceNow, extending its agents’ reach into various enterprise ecosystems.
Why it matters: By coordinating AI agents to tackle complex, interconnected tasks—rather than isolated ones—Adobe is championing a vision for streamlined enterprise workflows. Still, as the competition in enterprise AI heats up, Adobe will need to prove its approach can move beyond ambitious promises to deliver real-world results.
Cool New AI Tool: Be sure to check out Recraft's mockup tool to place logos directly onto product images for instant e-commerce and presentation visuals.
Step-by-step:
Sign in to Recraft (free account includes 50 daily credits) and click anywhere on the blank canvas to begin.
Select "Product Photo" and choose a preferred product template (like a t-shirt).
Click "Import Image" to upload your logo to the canvas and click "Remove Background" to make it transparent.
Drag your logo onto the product photo and watch as it automatically adapts to the fabric's contours.
Pro tip: You can try different placements on your product to find the most appealing position before finalizing your mockup.