Key points in rapid AI progress,
A secretive “ox alpha” model (widely suspected to be the latest Chinese GLM open-source model) shows strong coding gains (~80% on a tough benchmark vs. the 60s for Claude/GPT-style models).
Nvidia + a new “harness” hit a perfect 100% on ARC-AGI-3.
Intelligence-density progress Chinese Qwen-style 27B models already match much larger (near-2T-parameter) models on some scores—nearly 1000× fewer parameters. This matches Elon’s “100×” prediction on AI densification. there are paths to potentially another 100× by shrinking to ~1B or hundreds-of-millions parameters while retaining capability.
Practical benefits of smaller models are lower memory/energy/cost, faster inference, easier local/on-device ownership.
xAI/Grok teams reportedly run 10–20 Grok bots each for large productivity multipliers on code changes.
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
Known for identifying cutting edge technologies, he is currently a Co-Founder of a startup and fundraiser for high potential early-stage companies. He is the Head of Research for Allocations for deep technology investments and an Angel Investor at Space Angels.
A frequent speaker at corporations, he has been a TEDx speaker, a Singularity University speaker and guest at numerous interviews for radio and podcasts. He is open to public speaking and advising engagements.
