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

why doesnt meta just use deepseek?

honestly better than gemini flash

Plenty of screenshots in this thread showing usage.

Its the ridiculous cached input token price of $0.00028/1 M

https://www.reddit.com/r/DeepSeek/comments/1twesxe/comment/o...

There are plenty of US based hosters racing to optimize and drive efficiencies

Literal race on twitter posting to increase token throughput and drive down costs on these Chinese open source models

There is a wave of users switching over to DeepSeek Flash. There are Reddit threads of users sharing billion token spend for $20.

If all of global spend on Anthropic/OpenAI/Gemini APIs just switches over to DeepSeek then easily we can decrease total AI spend by 10x

its been working fine on LinkedIn/IG, the trick is to make the requests from the main world of the website itself.

Honestly with Fable I think anyone is going to be able to reverse engineer a desktop app and get the coding agent to automate it.

The Codex computer use functionality actually uses OS level accessibility trees, so thats also possible without screenshots.

Pretty doubtful about computer use/screenshotting based approaches.

With Retriever AI, we construct custom accessibility trees to represent web pages and just switched over to using DeepSeek v4 Flash and its nearing 100x cost decrease.

We also had great success just reverse engineering the underlying APIs of websites and then writing code to hit them. This approach of using screenshots to take actions on a webpage to trigger the underlying network calls the website is making seems too naive.

Fable has been gone almost a week. A god-tier coding model got banned with vague “national security” handwaving.

Trump administration friends get free passes on environmental laws, but anyone not pushing their narrative is getting curbstomped till they change their tune.

Come speak up against this regulatory retaliation and voice your support for Anthropic's Fable release.

We are meeting at a public plaza in front of their office to show support and discuss AI policy with free chai!

Who are your primary customers/usecases?

What do you think of just reverse engineering the network requests and writing scripts to hit the underlying APIs that the browser is making instead of tackling at the browser automation layer?

I am really wondering if Google is just subleasing Anthropic capacity. The terms are suspiciously the same as Anthropic's and Anthropic was supposed to have leased out all of Colossus 1.

Maybe with the corp token spending limits and the rise of codex, Anthropic saw steep deceleration in usuage?

The hard part about the web is that API's aren't just available even if the website owner wants them exposed (big if).

I embedded a Google Calendar widget on my Book a demo page, I don't know the API and Google doesn't expose/maintain one either.

What we are doing at Retriever AI is to instead reverse engineer the website APIs on the fly and call them directly from within the webpage so that auth/session tokens propoagate for free: https://www.rtrvr.ai/blog/ai-subroutines-zero-token-determin...

there are no guarantees in life, can look up any random day and see a meteor streaking across the sky and realize that this is the end regardless of "sociopolitical structures".

All that matters is sociotechnological progress to be able to progress further enough to overcome these tests of existence.

We don't sell user data, and we are in it to build a generational company.

We already have 25k+ users and have an opensource extension as well: https://github.com/rtrvr-ai/rover/tree/main/apps/preview-hel...

bro openclaw is dead

cool clickbait, why is this useful?