Meet THE PERCEPTRON PULSE, our monthly newsletter giving you research-backed insights on AI trends, tools, and breakthroughs. First issue: DeepSeek-OCR, a standout in visual text understanding. Stay ahead. Launching soon. #ThePerceptronPulse #AIResearch #AITrends #CentroxAI

Hot take: Context length above 500k tokens is useless without compression-aware attention. #AI #LLMs #ContextLength #AttentionMechanism #Compression #HotTake

LLMs don’t literally “download the Internet,” but Karpathy does a great job breaking down how they absorb patterns from massive text corpora and learn to generalize. A clear, beginner-friendly view of how training data shapes emergent capabilities.

Day 17 of researching DeepSeek: Still surprised how elegantly they avoid contextual drift #DeepSeek #AIResearch #LLMs #ContextualReasoning #ModelAlignment #AIArchitecture #MachineLearning #NLP #FoundationModels #AIInsights

Sergey Brin returning to hands-on coding with Google’s AI teams says a lot about where this moment in AI really is. Founders don’t come out of “retirement” to write code unless the technology feels unfinished, and urgent. Brin pairing deep historical context with active model

FrontierScience is a meaningful step toward evaluating reasoning depth, not surface competence. Expert-written, PhD-level tasks across physics, chemistry, and biology stress-test long-horizon reasoning, hypothesis formation, and cross-domain consistency; the regimes where

Meta’s Andromeda signals a quiet but major shift in digital advertising. Ads are no longer selected by static rules or demographics, but by real-time AI retrieval, scanning massive creative pools, predicting user intent, and dynamically optimizing budgets, placements, and

Sharing a demo from our latest evaluation of DeepSeek OCR, which we’ll analyze in depth in the first issue of The Perceptron Pulse. We benchmarked the model across real-world document types to assess character-level accuracy, structural fidelity, latency under load, multilingual

5. Feeds real-world data into LLMs

4. Uncovers model blind spots

3. Stress-tests tokenization

2. Tests spatial reasoning

1. It forces structured extraction

Why OCR is becoming a core pillar of multi-modal intelligence: #OCR #AI #MultimodalAI #ComputerVision #AIResearch #LLM #DeepLearning #ModelEvaluation #AIEngineering #TechInsights #DocumentAI #AIDev #FutureOfAI

Fun fact for #AIDreamers: Most OCR errors aren’t optical; they’re semantic reconstruction mismatches

If you could redesign one part of the LLM reasoning stack, what would it be?

Curiosity is a requirement for greatness. You win when you keep asking new questions every day. That’s why I am proud to announce my investment in Perplexity. Perplexity is powering the world’s curiosity, and together we will inspire everyone to ask more ambitious questions.

Gemini sketches with precision. DALL·E 3 paints with emotion. Grok visualizes speed. There’s no “best” model, just different creative biases. #AIModels #GenerativeAI

The next frontier isn’t AI that thinks like us It’s AI that helps us think with it