AI is learning. Blockchain is remembering. pSTAKE Research (@PstakeResearch) is connecting both.

With just ~200 vision tokens per page, DeepMusic-OCR matches top optical music recognition systems at a fraction of the compute cost. Efficiency meets artistry.

Listen to the conversation with Dr. Shu as we explore: • How AI learns the language of rhythm • What “musical grammar” means for machines • Whether AI can feel music or just read it Listen 🎧

The next evolution isn’t DeFi or GameFi; it’s DeIntelligence: economies powered by collective machine reasoning.

To all who have followed me, or helped me in any way so far: I appreciate it. Sincerely. I just started releasing video this week. Since then several other former high ranking staff have reached out to me wanting to speak out as well. I'm recording tomorrow, and I'll be

gm! Its decoder translates those vision tokens into music events like: <note:F#5-quarter> or <key:D-major> with a musical grammar loss ensuring rhythmic and harmonic correctness.

AI doesn’t just automate it amplifies. At @PstakeResearch , we’re exploring how AI can reason, verify, and coordinate value onchain. 🤖 The next era of intelligence isn’t centralized it’s composable.🧧

Part 2 of our AMA with Dr. Shu is live! 🎧 We’re diving deeper into explainable AI for music mastering where algorithms start to understand creativity, not just replicate it. Catch the insights 👇 #AI #MusicTech #Research

Thursday, February 26, 2026. Circle it on your calendar!

DeepMusic-OCR be like: 👀 Sees dots and lines 🧠 Outputs Mozart🎼🎹🎶🎶 The future of Optical Music Recognition is wild Read the new paper released 👇

🎵 Introducing DeepMusic-OCR a new model that reads sheet music as efficiently as text, converting scores into symbolic formats like MusicXML & MIDI. Built on the architecture of DeepSeek-OCR, it tackles the 2D language of music with smarter vision+language tech. Check out

🤖⚙️🔨 pStake

🎧 When AI starts listening back... Dr. Shu (Head of Research @PstakeResearch ) speaks on the future of explainable AI in music mastering; where algorithms meet artistry. 🎙️ Don’t miss this one 👇 Watch!

Fresh drop on @PStakeResearch 🧠 How do we move from language models that guess → to systems that verify? A deep dive into the future of trustworthy reasoning and verifiable AI. Read here 👇 https://t.co/R7steGbvlP

gm ☀️ Today’s AI challenge isn’t how to sound smarter; it’s how to reason truthfully.✅

When your phone starts flexing Phenom’s Anniversary Week, you can feel it........... something huge is coming as of Monday!

5/ 🧵 pSTAKE’s deprecation journey is almost complete — thank you to everyone who has supported stkBNB since launch. More info 👉 https://t.co/asqdYkBj3I #stkBNB #BNBChain #DeFi #LiquidStaking #pSTAKE

4/ 🧵 Deadline: 31 December 2025 We’ve already extended the deadline, but after this final date: • pSTAKE’s hosted UIs and backend for stkBNB may go offline. • Unstaking will still be possible on-chain, but no interface support will be available. • Liquidity left in external

3/ 🧵 Remaining stkBNB Liquidity in DeFi Roughly 45 stkBNB (~200 WBNB paired) remains across various BNB Chain protocols — mainly in inactive or low-liquidity pools. Protocols with stkBNB exposure include: • PancakeSwap (V2, V3 & StableSwap) • Wombat Exchange • Thena (Algebra

2/ 🧵 stkBNB Unstaking Reminder All users can still unstake stkBNB and instantly redeem their BNB directly through the official contract. There’s no cooldown period — funds are already held on-chain. Unstake here 👇 https://t.co/YAyCWEfdv3

Great leaders master their emotions, harnessing them to fuel creativity and collaboration, while defusing biases to achieve outcomes that endure beyond the agreement.

1/ 🧵 stkBNB Deprecation – Final Reminder As shared earlier, pSTAKE is winding down its legacy liquid staking products across all networks. This post focuses on stkBNB, which remains one of the few assets with liquidity still locked in DeFi. 👇

Human mastering: tweak EQ AI mastering: automate EQ 🫥 Explainable AI mastering: “I boosted 3kHz to highlight the violin’s brightness.” When the machine starts mastering you back ⤵️

When AI listens back 🎶 Dr. Shu & the @pStakeResearch team explore how explainable AI is reshaping music mastering turning automation into a creative duet between human and machine. Read the new paper 👇 https://t.co/ngmEe6UPfH

Richard Sutton says LLMs are a dead end, they can’t learn from consequences. Do you agree? Drop comments on your thoughts 💭💭👇