Yaz

Software Abracadabrator

[Yaz @WiseMonkey44]

@michaeljburry Do abs, it helps against it

[Yaz @WiseMonkey44]

@amonyx @grok 925

[Yaz @WiseMonkey44]

@Double0Capital @kevinxu Is it too late to buy?

[Yaz @WiseMonkey44]

@MrBeast #Promotion 1

[Yaz @WiseMonkey44]

@NoLimitGains @grok explain

[Yaz @WiseMonkey44]

@MrBeast 1

[Yaz @WiseMonkey44]

@MrBeast 10 Trillion

[Alexia Jolicoeur-Martineau @jm_alexia]

Another paper in the same vein (oscillators) but for classification and reasoning: https://t.co/P5mJy1hOFm

It seems that oscillators allows for good performance at much smaller parameter count. This is a super exciting line of work.

[Yaz @WiseMonkey44]

@elonmusk Any plans for canada?

[Yaz @WiseMonkey44]

@steipete It’s a bubble

[Yaz @WiseMonkey44]

@JasonL_Capital 150 call jan 28 is not just 50$

[Yaz @WiseMonkey44]

@BreadWinneh If i was you i would buy puts against pltr in 2027 june for strike 50

[Yaz @WiseMonkey44]

@jawwwn_ @PalmerLuckey Time to learn mandarin

[Yaz @WiseMonkey44]

@mitsuhiko @badlogicgames Perhaps minimal clanked writing code is required and better global determinism as to how to attack problems is required.

Complexity used to be less complex. Now it’s slop above slop above slop. Too much.

[Yaz @WiseMonkey44]

@BullTheoryio Burry probably saw this ages ago

[Mingkai Deng @mdeng34]

How does self-regulated simulative reasoning perform in practice?

SR²AM-v0.1-8B achieves results competitive with GPT-OSS (120B) and GLM-4.6 (355B).

SR²AM-v1.0-30B is competitive with DeepSeek-V3.2 (685B) and Kimi-K2.5 (1T) at 𝟮𝟲��𝟵𝟱% fewer reasoning tokens than comparable 30/32B agentic LLMs.

The key finding from RL training: the model learns to plan further ahead (+22.8% horizon) rather than more often (+2% frequency). Allocation, not compression.

[Yaz @WiseMonkey44]

@theo wtf, go codex!

[Cassandra Unchained @michaeljburry]

Short Thoughts May 10, 2026
About That Boy Who Cried Wolf

https://t.co/LXYYtOYzNT

[Yaz @WiseMonkey44]

@kevinxu Ignore the comments. HIMS will fly

[Yaz @WiseMonkey44]

@kevinxu What made you go all in on HIMS?