Ekjot Singh

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Ekjot Singh

Ekjot Singh

@ek10sh

Solving the physics of intelligence @ Metanthropic ⚛️. Founder @ Tealbase. Architecting the Glass Box Standard.

Earth Katılım Ağustos 2022
737 Takip Edilen34 Takipçiler
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Ekjot Singh
Ekjot Singh@ek10sh·
Sneak peek to our website :)
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Nayrhit B
Nayrhit B@NayrhitB·
The exact pitch deck that helped us raise a $9M Seed Round copy whatever you want VCs that invested: → @SusquehannaVC (led) → @LightspeedIndia@BCapitalGroup → Seaborne Capital → @beenextVC@sparrowcapvc@2point2club joined. fundraising is hard enough without guessing what investors want to see. so - I'm making our deck public. if you're raising right now, take it and make it yours. Reply 'deck' + follow (so I can DM it over)
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Ekjot Singh
Ekjot Singh@ek10sh·
M3 Ultra Mac Studio Al Cluster Uses VGD 1.0 with RDMA over Thunderbolt 5 (80Gbps) for 2TB unified memory @ 3.2TB/s. Runs Kimi K2 Thinking (1T parameters) at 28 tok/sec with MLX tensor parallel. Up to 1.8x TPS w/ 2 Macs, 3.2x w/ 4 Macs. VGD 1.0 is now LIVE.
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Cipher
Cipher@Cipher_twt·
Twitter is cool. But it’s 100x better when you connect with people who code If you’re into tech, AI, DSA, Web development, Web3 or programming, say hi
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Ekjot Singh
Ekjot Singh@ek10sh·
🧠 The "Doubt Switch" Using Sparse Autoencoders, we saw safety vectors attacking latent physics circuits. Current alignment techniques act as noise, jamming the model's ability to verify reality. Safety cannot be a patch.
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Ekjot Singh
Ekjot Singh@ek10sh·
🧠 The "Doubt Switch" Using Sparse Autoencoders, we saw safety vectors attacking latent physics circuits. Current alignment techniques act as noise, jamming the model's ability to verify reality. Safety cannot be a patch.
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Ekjot Singh
Ekjot Singh@ek10sh·
💥 Repetition Collapse Over-steer a model, and it doesn't just refuse. It crashes. We identified a phase transition where valid reasoning dissolves into infinite loops ("I cannot I cannot..."). The guardrail becomes a jammer.
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Ekjot Singh
Ekjot Singh@ek10sh·
The Visuals Text:🎨 Platonic Representations:Our method acts as a diagnostic tool, revealing what models actually "see." DINO-distilled images focus on structure; CLIP focuses on semantics. These dream-like images capture the texture and shape needed for classification. 4/5 🧵
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Ekjot Singh
Ekjot Singh@ek10sh·
🚀 Announcing: Dataset Distillation for the Pre-Training Era! Standard distillation trains from scratch. We built a method for the Foundation Model age. Introducing Linear Gradient Matching by @ek10sh & Metanthropics. Can 1 synthetic image beat real data? 🧵👇 #AI #CV #NeurIPS
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Ekjot Singh
Ekjot Singh@ek10sh·
Sneak peek to our website :)
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Ekjot Singh
Ekjot Singh@ek10sh·
The limit of AI is no longer compute. It is coherence. Today, we open the doors to Metanthropic. We aren't just building another wrapper. We are solving the physics of intelligence. ⚛️⚡ A thread on the end of the "Black Box" era. 🧵👇
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