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In this issue:
🤿Deep Dive: Jensen changed his take on AGI
🤝Our Sponsor: See what's really driving your store
⚡Quick Hits: The latest in AI, tech, and productivity
⚒Tool Snapshots: Tools for AI, no-code, and productivity
🤖AI Made This: Interesting and inspiring creations made with AI
🤿 DEEP DIVE
Jensen Huang Changed His Language on AGI
Jensen Huang has spent the AI boom talking about compute, useful AI and the economics behind it. Over the weekend, the NVIDIA CEO made a much simpler declaration.
“AGI has arrived.”
Huang posted the comment on X on Sept. 6 after OpenAI trained its new GPT-6 Astra model on more than 100,000 NVIDIA Grace Blackwell NVLink72 GPUs. He congratulated the OpenAI team, pointed to the progression “from ChatGPT to o1 to Astra in 4 years,” and added that another 400,000 GPUs are coming online.
The interesting part is how much more definitive that sounds than Huang did less than 2 weeks earlier.
From milestones to “profitable tokens”
On NVIDIA’s Aug. 26 earnings call, Huang was asked directly about artificial general intelligence and recursive self-improvement.
His answer was noticeably more qualified.
“For many tasks, we could say that we’ve already achieved AGI,” he said. But he quickly shifted away from debating the milestone itself, calling those milestones “kind of senseless at this point.”
Instead, Huang focused on something much more concrete, whether AI is doing useful work and making money.
He laid out three things that mattered to him:-
1) AI is doing productive and useful work,
2) it is generating “profitable tokens,” and
3) more compute would allow the industry to generate more of them.
His opening remarks made the same point even more directly: “AI has reached its inflection point. It's doing useful work. Its tokens are productive and profitable. Now, compute is revenue.”
That makes the weekend post stand out. Huang went from saying AGI could already be considered achieved “for many tasks” to simply declaring that it had arrived.
And he tied that declaration directly to a model trained on NVIDIA hardware.
The scale behind the statement
The timing also comes as NVIDIA reports enormous demand for its chips.
The company’s Q2 revenue reached $96 billion, up 106% from a year earlier, while its Q3 guidance stands at $108 billion. According to the article, supply is still struggling to keep up with AI demand.
So Huang’s post brings together 2 threads from NVIDIA’s recent messaging:-
> increasingly capable AI models and
> the vast amounts of computing hardware being deployed to run them.
Whether the AGI label is useful is something Huang himself had questioned just days earlier. What changed publicly is the certainty of his language.
The quick take
Jensen Huang declared “AGI has arrived” in a Sept 6 post/comment on X.
He said OpenAI’s GPT-6 Astra was trained on more than 100,000 NVIDIA Grace Blackwell NVLink72 GPUs.
Huang said another 400,000 GPUs are coming online.
On NVIDIA’s August 26 earnings call, he had used more qualified language about AGI and focused instead on useful work, profitable tokens and compute.
NVIDIA reported $96 billion in Q2 revenue, up 106% year over year, with Q3 guidance of $108 billion.
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⚡ QUICK HITS
The latest in AI, tech, and productivity worth knowing
Two newspapers are taking OpenAI and Microsoft to court - The Seattle Times and Newsday sued the companies, alleging their journalism was copied without permission to train and operate AI products including ChatGPT, Copilot and Bing’s AI features. The newspapers are seeking the destruction of copies of their work, along with training datasets or AI models incorporating it.
OpenAI’s president is calling for AI slowdowns - In a wide-ranging essay, OpenAI President Greg Brockman says no AI lab has solved alignment and monitoring well enough to keep scaling at maximum speed for much longer, and expects voluntary slowdowns until shared safety standards exist. He also argues that international coordination on future AI development should become a top priority for governments.
⚒ TOOL SNAPSHOTS
Futuristic tools within AI, no-code, and productivity
🎬 Scriptly
Keep your delivery on track while recording scripted videos.
Why it’s useful: Handy for creators who want teleprompter controls and voice-following scrolling while keeping scripts stored locally.
Put recurring data analysis and reporting on a schedule.
Why it’s useful: Useful for teams that regularly check the same live data and want reports delivered automatically by email, Slack, or in-app.
Build structured technical docs without working entirely in Markdown.
Why it’s useful: Gives documentation teams a visual workspace for writing, reusable components, AI-assisted edits, and keeping track of versions.
🤖 AI MADE THIS
Interesting and inspiring creations made with AI
Image credit: Chosun Daily
Interactive AI Art That Adapts to Your Heartbeat
A real-time AI art installation at DATALAND (Los Angeles) that generates ever-changing rainforest visuals, sounds, and scents based on visitors' biometric data (heart rate, skin temperature, emotional responses).
AI used
Large Nature Model (LNM) trained on 500+ million natural images and ecological datasets.
Link
https://www.youtube.com/watch?v=fl6o3cvHSyg
ℹ️ ABOUT US
The Intelligent Worker helps you to be more productive at work with AI, automation, no-code, and other technologies.
We like real, practical, and tangible use-cases and hate hand-wavy, theoretical, and abstract concepts that don’t drive real-world outcomes.
Our mission is to empower individuals, boost their productivity, and future-proof their careers.
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