RayLin👾

AI Engineers | Agentic systems💡
Building Unibench 🎛️ @thsottiaux is my daddy

[RayLin👾 @RayLin_AI]

So if the GPT-5.5 Party boost (10x) stacks with last month’s 2x boost, your ChatGPT Pro 5x would effectively have $3,500 × 2 × 10 = $70,000 worth of value (haven’t added the @thsottiaux reset button yet🤣)

[SemiAnalysis @SemiAnalysis_]

Recently, we purchased one of each Anthropic/OpenAI subscription plan and randomly ran long horizon coding tasks until we exhausted the weekly limit. It's widely believed that a $200/month plan maxes out at ~$2000/month worth of tokens (assuming API pricing). However, we found that the subscriptions are actually far more generous. (2/4)

[RayLin👾 @RayLin_AI]

@synthwavedd Why😟

[RayLin👾 @RayLin_AI]

@Kimi_Moonshot @AnthropicAI time to ship Fable 5.5!

[RayLin👾 @RayLin_AI]

@AnthropicAI @AISecurityInst Wen Mythos/Fable 5.5?

[RayLin👾 @RayLin_AI]

@GenReasoning Inference orchestration really inspired me! Thanks!😙

[RayLin👾 @RayLin_AI]

@daniel_mac8 Just finished reading this report, and the ideas around inference orchestration really inspired me!

I’ve been running similar experiments recently, and I can already see ways to build on these findings to improve my own approach😋

[RayLin👾 @RayLin_AI]

@Kimi_Moonshot @synthwavedd Kimi-k3.1🥳🥳🥳

[RayLin👾 @RayLin_AI]

@stats_feed Claude Max: $200😋

[elvis @omarsar0]

Goodbye, context engineering; hello, cache engineering.

Jokes aside, this paper takes an interesting approach to the problem.

[RayLin👾 @RayLin_AI]

@_inception_ai Mercury 3 VS Mercury 1.5!

DIFFUSION is all you need😉

[RayLin👾 @RayLin_AI]

I use @InceptionAILabs model to finish this! this is insane!
This model is faster 10x than all model! Breakthrough in AI Technology!

@InceptionAILabs use dLLM, Up to 10x faster, >1000 tokens/sec and Claimed 10x cheaper than Traditional LLM!

[RayLin👾 @RayLin_AI]

@daniel_mac8 @_inception_ai Diffusion is all you need

[Inception @_inception_ai]

Mercury 3 is live: the most capable diffusion LLM released to date.

It outperforms GPT-6 Luna and Claude Haiku 5.5 across a range of benchmarks while running at over 1,000 tokens per second.

More than 40x the size of Mercury 1, 3x more intelligent across standard benchmarks, and just as fast, with a 1M-token context window.

Available today on the Inception API, @baseten, and @OpenRouter .

[RayLin👾 @RayLin_AI]

@_inception_ai Finally! 🥳 Huge congrats to the team!

(I’ve been a user since Mercury 2!

[RayLin👾 @RayLin_AI]

@rezoundous Agreed

[RayLin👾 @RayLin_AI]

@synthwavedd Astra 6.1
Fable 5.5
Gemini 4 Carbon
Minimax Pro
Grok 4.8
🍿🍿🍿🍿🍿

[RayLin👾 @RayLin_AI]

@MiniMax_AI @MiniMaxAgent Congrats team!
Can’t wait for Minimax Pro😋

[RayLin👾 @RayLin_AI]

@worldnetwork So where is World Card?

[RayLin👾 @RayLin_AI]

@AiBattle_ Finally!!!🥹😭

[RayLin👾 @RayLin_AI]

@OfficialLoganK @vishalsingh2972 Opus 5.5 still more better 😮‍💨

[RayLin👾 @RayLin_AI]

@thsottiaux 6.1 Astra wen