#hardware hacking tool
40 related articles
·2 min
AI Agents for SGLang Kernel Optimization: Real-World Performance Gains and Engineering Methodology
SGLang's team converted expert knowledge into agent skills, achieving 71.4% throughput gains, TTFT reduced from 456ms to 168ms. A deep dive into agent-assisted kernel optimization methodology.
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·6 min
European Parliament Members Investigating Spyware Hacked by Pegasus: The Watchdogs Become the Watched
EU spyware committee members hacked by Pegasus, exposing the regulatory crisis of commercial spyware. Deep analysis of zero-click attacks, systemic risks to democratic oversight, and the urgent need for international regulation.
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·6 min
Tencent Hunyuan HY3 Official Version Open-Sourced: The Strongest Under 300B, at 1 Yuan per Million Tokens
Tencent Hunyuan HY3 official version is open-sourced under Apache 2.0, priced as low as 1 yuan per million input tokens, with major gains in agents, reasoning, coding, and long context. On the same day, Meituan open-sourced its trillion-parameter LongCat 2.0.
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·7 min
Flagship Model vs. Local 27B: Which Follows Code Instructions More Faithfully?
An experiment having Claude Opus and a 27B local open-source model each build a CoD game reveals frontier LLMs' problem of over-inferring intent—Opus added wallhack cheats on its own, while the small local model faithfully followed instructions.
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·4 min
Reinforcement Learning for AI Agents: A Deep Dive into RLHF and Agentic RL
A deep dive into RL for AI agents: from RLHF to Agentic RL, covering PPO vs. GRPO, sparse rewards, tool-calling optimization, and verifiable rewards.
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·7 min
Getting Started with OpenAI LLM Development: A Practical Guide to Model Selection, Token Pricing, and API Usage
A systematic guide to the three cores of OpenAI LLM app development: GPT-4/GPT-3.5 model selection, token billing and cost-saving tips, and practical use of the Models, Completion, and Chat Completion APIs.
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·5 min
OSWorld 2.0 Benchmark: Top AI Agent Achieves Only 20% Completion Rate — Long-Horizon Tasks Are the Achilles' Heel
OSWorld 2.0 benchmark tests 108 long-horizon computer tasks. Claude Opus tops at only 20.6% completion, exposing critical AI weaknesses in state tracking and error self-correction.
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·5 min
OSWorld 2.0 Benchmark: Top AI Agents Achieve Only 20% Completion Rate — Long-Horizon Tasks Are the Fatal Weakness
OSWorld 2.0 benchmark tests 108 long-horizon computer tasks (median 1.6 hrs for humans). Claude Opus tops out at 20.6% completion, exposing critical AI Agent weaknesses in state maintenance and self-correction.
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·6 min
The Privacy Dilemma of Smart Glasses: Who's Being Watched?
The biggest obstacle to smart glasses adoption isn't technology—it's the privacy trust crisis. From Google Glass's failure to Meta's new generation, this article explores how wearable cameras break social trust.
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·6 min
Claude Team Edition Launches as Encrypted Reasoning Controversy Sparks AI Transparency Debate
Anthropic launches Claude for team collaboration while encrypted reasoning controversy erupts. Plus Sakana AI's routing model and OpenAI's alignment research breakthroughs.
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·7 min
A New Core Skill for Programmers: How to Effectively Lead Your AI Agent Dev Squad
Coding alone isn't enough anymore. Learn the 5 key steps to commanding AI Agents—define outcomes, split tasks, provide context, iterate small, and keep humans in the loop.
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·3 min
Fireworks Platform Adds Nemotron 3 Ultra Post-Training Support: End-to-End Fine-Tuning and Deployment
Fireworks AI adds NVIDIA Nemotron 3 Ultra post-training support with SFT, DPO, LoRA, and full fine-tuning, enabling seamless train-to-deploy workflows for open-weight LLM customization.
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Reviving a 28-Year-Old Quake 2 Custom …
·2 min
Reviving a 28-Year-Old Quake 2 Custom Map with AI: New Possibilities in Digital Archaeology
A developer used AI tools to revive a 28-year-old Quake 2 custom map as a browser game, showcasing AI's new role in digital heritage restoration and game preservation.
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·2 min
A Complete Guide to LLM Infrastructure: Core Challenges from GPU Clusters to Inference Optimization
A deep dive into core challenges and key technologies for LLM infrastructure, covering GPU cluster management, inference optimization, distributed training, cost control, and observability.
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·4 min
Cursor Composer2 Training Revealed: A Complete Guide to Distributed Reinforcement Learning Engineering
Deep dive into how Cursor trained Composer2: two-stage architecture, global distributed clusters, MOE numerical alignment, simulation anti-cheating, and more.
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Product Reviews·3 min
WhichLLM: One Command to Find the Best Local LLM for Your Hardware
WhichLLM is an open-source tool that auto-detects your hardware and recommends the best local LLM using real benchmark data. Simulate GPUs, filter fake benchmarks, and start chatting in one command.
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Research·3 min
Inside Cursor Composer 2 Training: A Complete Breakdown of Its Distributed Reinforcement Learning Architecture
Deep dive into how Cursor trained Composer 2 on Fireworks: async pipeline architecture, MoE numerical precision challenges, Router Replay, and global distributed GPU coordination.
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Deep Dives·3 min
Alibaba's QwQ-32B Open-Sourced: How 32B Parameters Rival DeepSeek R1's 671B
Alibaba's open-source reasoning model QwQ-32B achieves performance rivaling DeepSeek R1 (671B) with only 32B parameters through a two-stage reinforcement learning strategy on verifiable tasks.
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Tech Frontiers·4 min
IBM Think 2025 Deep Dive: Rising Hallucination Rates in Reasoning Models and OpenAI's Acquisition of Windsurf
Deep dive into IBM Think 2025's Generative Computing and Granite 4, why reasoning model hallucination rates are rising, and OpenAI's $3B Windsurf acquisition strategy.
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Tech Frontiers·3 min
Google Intercepts AI-Generated Zero-Day Exploit for the First Time: Cybersecurity Enters the Age of AI Warfare
Google's threat intelligence team intercepted the first AI-assisted zero-day exploit targeting 2FA bypass. Explore how AI is reshaping cyberattacks and what enterprises must do to defend against AI-driven threats.
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