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This is fantastic. I feel the KV cache system is basically a must for any serious inference hosting, both for the provider as well as the consumer. I guess they have this but just haven’t open sourced it yet.

Does anyone know if this is based on the NIST report on the "Evaluation of DeepSeek AI Models" [1]?

> DeepSeek models advance Chinese Communist Party (CCP) narratives much more frequently than U.S. models.

[1] https://www.nist.gov/system/files/documents/2025/09/30/CAISI...


I get "Sorry, this content is not available in your region." when trying to access this link. EU/Sweden.


Gibson's quote "the future is already here - it's just not evenly distributed" continues to hold true, especially today. Amazing author and unparalleled mind's eye.

It is really an amazing quote, very McLuhan’ish. I almost use it daily. It holds true. End of message from Shenzhen

I feel the hardware vibecoding is the next and currently untapped frontier. I’ve noticed AI labs are placing more emphasis on hardware as well.

Additive manufacturing and AI have the potential for significant disruption via empowerment of the individual to solve problems without the expense of purchasing external expertise.

Feels good man. :|


> “He wants to lower the barrier to entry so anyone, regardless of their background check status or legal eligibility [can] own a gun. He wants anyone to be able to design and manufacture weapons...

Empowering everyone to create more problems than solving them.

What could possibly go wrong here?


Guns are not problems, or solutions, they are tools designed for specific purposes.

If people are abusing tools, we have an education/human behavioral problem, not a tool problem.


Reinforces what Karpathy tweeted [1], that AI is effectively tackling 2-5% of work and the gap between those fully exploiting AI and barely touching it is growing. The question remains whether this AI focus on the small % of workers is actually intentional (by tech/labs), or a natural limit of where AI is right now.

[1] https://x.com/karpathy/status/2109361546505966046?s=20


Kind of...

Karpathy is also saying the quiet part out loud: they are making progress by brute force. It's a cost driven arbitrage market.

Do I need to spend high prices on 1000 agents to solve this today, or should I wait 1000 days (with compute increasing and prices falling) and hope that I get lucky and get the right answer sooner. Is your competitor half the price but I need 1500 agents to do it in one day cause it's just a bit dumber.

The market for brute force intelligence is infinite - and at some point demand will drive the cost to single digit margins.


I wonder how much of lagging AI adoption is simply due to people not trusting the existing AI vendors, or the architecture of deployment broadly speaking? If we somehow figured out how to get frontier-class models deployed easily locally (and I don't mean the bumbling demos of today - I mean with the sort of fluidity one experiences when using frontier models from frontier labs), would adoption be way higher for structural reasons?

The toaster is next!

"Reflection’s first model, Beam, scores 30 on the Artificial Analysis Intelligence Index, placing it #2 among US open weights models" [1]

[1] https://x.com/ArtificialAnlys/status/2111087606759030831


Looks like a potentially solid coding model, but this is also interesting:

"Reaches comparable solution quality to leading open models using approximately 3x fewer inference-time reasoning tokens."


This is very cool, I can see a big use case on this for streaming analytics and anomaly detection. So if I get this right, you get:

- Amortized O(1) work per window update

- O(1) aggregate queries, assuming a fixed cost merge operation

- O(W) memory for W buckets, with sketch size treated as fixed

- No need to recompute the entire window every second


That's right, and one more property I consider very important for numerical stability:

- The aggregate only depends on the value currently in the window.

Most problems caused by NaNs/infinities/catastrophic cancellation/etc in sliding windows are covered by this property.


I wish I knew about this algorithm when I worked in databases; it would be well-suited for window functions (even over floats for most users). Now I think I've seen it described two or three different places :-)

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