#Instinct GPU
35 related articles
·3 min
Cursor Privacy Controversy: Is Your Code Being Uploaded to Servers? What Developers Need to Know
Cursor AI coding tool accused of uploading user code to servers even with telemetry disabled. Analyze the controversy, privacy mode details, and security recommendations for enterprise developers.
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·5 min
July 24 AI Daily Brief: Flux 3 Multimodal Release, Kimi K3 Lags in Testing, Qwen Tops TTS Rankings
July 24 AI news: Black Forest Labs launches Flux 3 multimodal model, Kimi K3 lags in US-UK gov tests, Alibaba Qwen tops TTS rankings, Etched raises $300M, AMD unveils MI430X.
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·4 min
Laguna S 2.1 Deep Dive: Hands-On Local Deployment of a 118B Parameter Coding Model
In-depth review of Poolside's Laguna S 2.1 open-source coding model: MoE architecture, RL training, DGX Spark local deployment, and real-world agentic coding tests with 8B active parameters.
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·3 min
AMD CDNA5 Architecture Deep Dive: Technical Evolution and the AI Computing Competition Landscape
Deep analysis of AMD's CDNA5 architecture covering Chiplet packaging upgrades, HBM memory evolution, and low-precision compute optimization, examining how AMD challenges NVIDIA's AI chip dominance.
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·3 min
Jensen Huang Backs Chinese Open-Source AI: Great Models Deserve to Be Widely Used
NVIDIA CEO Jensen Huang says US companies should absolutely be allowed to use Chinese open-source AI models like DeepSeek and Kimi, calling backdoor fears a misunderstanding and arguing great models drive more compute demand.
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·6 min
The CivitAI Early Access Controversy: Where Is the Boundary Between Open-Source Ethos and Commercialization?
CivitAI's paid "Early Access" mechanism has sparked heated debate on Reddit: should functional models stay locked behind paywalls long-term? An in-depth look at creator monetization, community consensus, and platform responsibility.
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·3 min
GPT-5.6 Inference at 18x Speed: OpenAI's Compute Gamble and Business Logic
Why is OpenAI pushing its most powerful model to 750 tokens/s? A deep dive into GPU vs. Cerebras chip cost trade-offs, the $10B compute deal, and how speed, intelligence, and token efficiency are reshaping the AI landscape.
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·3 min
A Former Tencent Engineer's Complete Journey Building a 'Decision Paralysis' Mini Program with AI
A former Tencent engineer used CodeBuddy AI to solo-build a 'Decision Paralysis' mini program — from a phone specs spreadsheet to a fully launched WeChat app.
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·3 min
NVIDIA's Dual-Tower Diffusion Language Model Explained: How Freezing Half the Network Achieves 2.4× Speedup
NVIDIA's dual-tower diffusion LM freezes the context tower while fully retraining the denoiser, achieving 2.4× speedup with 98.7% quality retention. A deep dive into the architecture, performance, and fragility.
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·2 min
6-Day Open Source AI Agent: Natural Language-Driven Android Automation Testing
Veta is an open source AI testing agent: just describe your test goal in natural language and it autonomously plans, executes, verifies, and reports Android test results — no scripts needed.
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·2 min
AI Agents Are Taking Over Scientific Research — Where Should Graduate Students Focus Their Competitive Edge?
AI Agents are taking over experiment design, execution, and paper writing. Learn how graduate students can redirect their competitive edge in the age of automated research.
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·6 min
The Frontier of AI Interpretability Research: Opening the Neural Network Black Box
An in-depth look at AI interpretability research: from chain of thought and probes to sparse autoencoders, exploring how scientists understand neural network internals and assess AI alignment and safety.
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Structured Information Extraction with…
·3 min
Structured Information Extraction with Local 7B Quantized Models: Root Cause Analysis and Engineering Optimization
Using Qwen 2.5 7B quantized locally to extract 60+ fields from insurance/financial contracts? Learn why it struggles and how task splitting, RAG, GBNF, and smarter chunking can fix it.
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·2 min
Anthropic's Repeated Fable Delays: Compute Bottleneck or Marketing Tactics?
Anthropic's Fable model keeps getting last-minute access extensions, sparking Reddit backlash. We break down the compute constraints, competitive pressure, and scarcity marketing at play.
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·3 min
Understanding RAG from Scratch: A Complete Guide to Retrieval-Augmented Generation
RAG (Retrieval-Augmented Generation) is a key technology for solving LLM hallucinations. This guide breaks down how RAG works, its advantages, and real-world use cases — no math required.
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·2 min
Reproducing GitHub Projects from Scratch: A Complete Guide to Environment Setup and Practical Pitfall Avoidance
Reproducing GitHub projects isn't just git clone. This guide covers project evaluation, conda setup, dependency installation, running .sh scripts on Windows, and debugging tips.
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·7 min
Building a Published App with Zero Code in Four Days: A Complete HarmonyOS Development Journey
A tech blogger with zero programming knowledge built a retro DV app in four days using AI tools like Cursor and Codex, and got it published on Huawei App Gallery. A full vibe coding walkthrough.
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·3 min
DeepSeek-V4 Flash RL Training Successfully Ported to AMD MI355X GPU: A Complete Breakdown
The Miles team and AMD announce the full port of DeepSeek-V4 Flash RL training to AMD Instinct MI355X GPUs on ROCm, boosting AIME pass@1 from 0.39 to 0.49—a milestone for compute ecosystem diversity.
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·4 min
Demystifying Unified Memory Architecture: How Mini PCs Run 70B Large Models
Why can a mini PC with unified memory run a 70B model while an RTX 4090 can't? A deep dive into the VRAM wall and unified memory architecture for smarter local AI hardware choices.
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·3 min
From IT Support to AI Engineer: A Real NCA-GENL Certification Journey and Lessons Learned
A real NCA-GENL study journal from an IT-support-turned-AI-engineer: 50+ scenario questions, 7-week prep, and a brutal 40% on Trustworthy AI. Covers Transformer concepts, NVIDIA tools, and what actually works.
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