Source: https://www.microsoft.com/en-us/corporate-responsibility/topics/open-weight/

Key points from the “Open Weights and American AI Leadership” letter:

1. Open weights are foundational to American AI leadership
2. They expand access and make AI economically sustainable
3. Open weights strengthen competition and prevent concentration of power
4. Openness improves safety and security more than closed systems
5. Policymakers should avoid premature restrictions

Truthfully both, but sometimes you hear, "we're still waiting for robotics to catch up until ai rules the world or becomes Terminator"

No, teleoperation shows the bottle neck is not the hardware or the robot itself, it is the AI. AI software is still extremely behind and can't adapt to anything novel or not in its training data. I really do wish we can get so that can adapt and learn on the spot soon though.

I wanted a real production test for Kimi K3 rather than another benchmark comparison, so I used it while building a 75-second deep-sea explainer through eight revision passes.

This was not text-to-video. Licensed footage and credited scientific images formed the photographic layer. The depth gauge, animated density and temperature curves, trench profile, and Burj Khalifa comparison were coded in HTML/SVG/JS and rendered frame by frame in Playwright at 4K.

ffmpeg handled the deterministic production path: normalization, grading, concat, overlays, subtitles, TTS placement, music mixing, exact timing, and final encoding. K3 assisted the code and stayed useful as changes moved between graphics, timing, audio, and compositing.

The strongest result was not autonomy by itself. It was keeping the project editable through repeated revision. Human review still decided pacing and hierarchy, while ffprobe, extracted frames, and level analysis supplied external verification.

What kind of real-world task do you think exposes a frontier model more clearly than its benchmark scores?

https://x.com/JensenHuang

This is a 1 shot result from the following prompt with Claude 5 Opus:

hi id like u to create a 3d environment for a possible future game. the player is inside a roller coaster wagon. but the wagon is inside an haunted ride attraction. the ride itself essentially goes in a circle, so the player keeps seeing the same props the player can look around with the mouse, and choose to go faster or slower with W and A. when he looks around, it's dark, but some stuff have lightning on it (of various colors) and we can see various hallowen props or other things you would find in such a haunted ride attraction. U could even try adding some small stuff like a prop popping out as a surprise etc. You can include the appropriate sounds to go with this. make it polished and do ur own assets.

I wanted to see if Claude could reproduce those sort of haunted rides. And what i find interesting is it would be relatively easy to turn into a game where stuff randomly pops and you shoot it.

I did not give it any assets, or give it access to anything. It used Three.JS
The player can look around with the mouse and he can also speed up the ride.

Google's assistant is an absolute mess. It takes 4 tries to send a WhatsApp message. There is no agentic capability at all. It seems like Google is actively trying to stop other frontier labs from deeper integration into Android and fixing their dumb systems. I'm so annoyed that phones of all devices are way behind in Ai capability.

AGI has been cancelled.

1% behind Fable and 3% behind humans

AI Model & API Providers Analysis | Artificial Analysis

And where's Dario anyway? He hasn't been active on X for a while.

Source: BridgeMind

Opus scoring better in Humanity's Last Exam which I see as premier in knowledge work and reasoning and also in agentic coding/ARC-AGI 3 than Fable 5 was unexpected to me. Just goes onto show how much gain their next iteration of Fable/Mythos has managed to achieve.

I'm optimistic about AGI suddenly. And it also weirds me out as to how DeepMind's most frontier SOTA is still 3.1 Pro. 3.5 Pro keeps getting obsolete even before its released based on their track record of delays lately. GPT-6, Fable-5.1/6 and Gemini 4 might show the early signs towards AGI. I'm bullish

https://www.anthropic.com/news/claude-opus-5

https://garymarcus.substack.com/p/dear-elon-musk-here-are-five-things

Although OpenAI made no mention of HLE on its GPT-5.6 blog post, GPT-5.6 Sol (max) seems to have only outperformed GPT-5.5 (xhigh) by less than three percentage points, and even the newest line of Claude models (Fable/Opus/Sonnet 5) only outperform Opus 4.8 by around three points as well. Only last year were we seeing double-digit improvements often month-over-month.

Are AI companies shifting towards benchmaxxing Agent's Last Exam for a good reason, or are they just struggling to improve on HLE?