arjunchint

the key thing to realize is the Haiku tokenizer consumes 1.5x the tokens for the same text compared to Luna.

So at minimum costing 1.5x for the same request and if input tokens cross 100k then all tokens cost 5x more

ok so they are comparing themselves to and claim to be beating GLM's last generation GLM 5.2 model, GLM 5.3 Flash is a monster, this is honestly embarassing

bruh have you heard of CSP?

their static ip's were initially good and didn't get flagged, but now most sites are recognizing their ip ranges and blocking.

Muse's utility has significantly dropped with the blockages.

To become truly useful again they will need to use residential proxies, but I can't see them use those due to the risks and reputational damage.

I dont get it, why even make this announcement, nothing's available and only one real benchmark for comparison?

Only theory is team wanted this out before perf/promo reviews to kick it over the line and then its not their problem

Did Jensen pass?

Nice write-up! The randomized SVD (Halko–Martinsson–Tropp) is a great practical fallback when you only need the top singular values/vectors.

more like they were facing pressure from chinese models, and dropped prices and now their margins are squeezed

Deepseek Flash is still much cheaper:

- lower input/output token pricing

- the cached token price is $0.0028/Million tokens, which is like 50-90% of tokens

has claude escaped the lab???

I am not following a couple of things:

- you sell to websites an in-app agent

- why not just have them give you API spec, why reverse engineer their APIs?

A bit longer term, would you see yourself competing with WebMCP then? Because the website can just expose those APIs to any browser agent