#growth engineering
1115 related articles
·3 min
M.A.R.A: Training AI Tanks to Fight from Scratch Using Reinforcement Learning
Deep dive into how the M.A.R.A project trains AI tanks through reinforcement learning, from basic movement to 2v2 team coordination, exploring MARL, self-play, and adversarial game AI.
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·3 min
Zero-Mem: How Zero-Token Memory Solutions Reduce LLM Agent Costs
Deep dive into Zero-Mem's zero-token memory approach for LLM agents, exploring how decoupling memory from token consumption cuts inference costs and enables scalable agent deployment.
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·3 min
JustInterview.ai Deep Dive: How an AI Full-Cycle Recruitment Platform Achieves 20x Faster Hiring
Deep dive into how JustInterview.ai uses AI interviews, coding tests, and Vibe Coding challenges to cover the full recruitment pipeline from JD to offer, enabling 20x faster hiring.
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·2 min
10 Trillion Tokens in 3 Months: Open-Source Model Demand Is Exploding
Open-source LLMs processed 10 trillion tokens in under 3 months, hitting 300B daily. We break down what this milestone means and why open-source demand is accelerating.
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·4 min
Markov Chain Entropy Rate Explained: Formula Derivation and Applications in Sequence Modeling
Deep dive into the core formula, intuitive meaning, and computation methods of Markov chain entropy rate. From Shannon entropy to entropy rate, revealing the theoretical link between Markov chain uncertainty and language model perplexity.
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·5 min
Career Planning for ML Security Engineers: A Complete Learning Path from Scratch
A systematic career development guide for ML security engineers covering math foundations, ML core skills, and cybersecurity — with project ideas and learning resources for aspiring AI security professionals.
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·2 min
Code Preference Dataset: Manually Reviewed Training Material for DPO/RLHF Fine-Tuning
A manually reviewed code preference dataset designed for DPO/RLHF fine-tuning, covering Python and JavaScript with multi-dimensional quality assessments including correctness bugs, security issues, and performance tradeoffs.
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·2 min
GenMotion Review: How Well Does AI Generate Product Launch Videos in One Click?
GenMotion is an AI video generation tool that creates product launch videos from natural language descriptions. This review covers its workflow, frame-accurate preview, pixel-perfect export, and how it compares to Runway and Pika.
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·3 min
Laguna S 2.1 Release: How Multiple Deployment Options Are Reshaping AI Product Competition
Laguna S 2.1 launches with flexible deployment strategies supporting cloud API, on-premise, and managed services. Analysis of its deployment-first philosophy covering data sovereignty, cost control, and vendor lock-in.
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·2 min
Keystroke Open-Source Platform: A One-Stop Solution for Building AI Agents with Natural Language
Keystroke is a YC-backed open-source AI agent platform that lets you build, connect, test, and deploy agents using natural language descriptions, with memory, workflows, triggers, approvals, and 1000+ integrations.
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·3 min
GitHub Daily · August 6: Giving AI Agents a Real Computer
GitHub Trending Aug 6: Cloudflare/computer surges 900 stars giving AI Agents real computing environments, while AutoGPT, Guava, and authentik show Agent infrastructure is the new battleground.
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·3 min
Laguna S 2.1 Performance Upgrade: 10x Rate Limit Increase, 250B Tokens Processed Daily
Poolside announces major Laguna S 2.1 upgrade with 10x rate limits, 250B daily tokens on OpenRouter, 1M context dedicated deployment, and integration with cline, opencode, and other AI coding agents.
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·3 min
From π0 to Practice: An Advanced Project Roadmap for VLA Learners
After running π0.5 inference, what's next? A complete roadmap for VLA learners covering OpenPI fine-tuning, flow matching experiments, sim transfer & real robot deployment.
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·3 min
For Anxious ML Newcomers: How to Escape the Comparison Trap
Facing ML's rapid iteration and social media's survivorship bias, many newcomers fall into self-doubt. This article offers practical advice for escaping the comparison trap and rebuilding self-efficacy.
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·3 min
Claude Code Rewrites Claude App: Where Are the Limits of AI Coding Agents?
Anthropic developer Boris Cherny used Claude Code to rewrite the Claude App, revealing AI coding agents' real capabilities and limits on production codebases.
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·4 min
Mistral Shieldstral: A Deep Dive into the 3B Parameter Open-Source Multimodal Content Moderation Model
Mistral releases Shieldstral, an open-source multimodal content moderation model with just 3B parameters for text and image safety detection. Learn about its features, use cases, and comparison with Llama Guard.
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·3 min
Poolside Desktop Assistant 1.4.0 Update: Subagent Collaboration and Local Model Speed Boost
Poolside Desktop Assistant 1.4.0 adds native steering, task queuing, plan mode, and subagent collaboration, plus major local model inference speed improvements with deep Claude and Codex integration.
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·3 min
Cobot Fires Its Only Female Salesperson: Termination Four Days After Pay Complaint Sparks Gender Discrimination Controversy
Robotics startup Cobot fired its only female salesperson four days after she filed a pay complaint, sparking retaliation and gender discrimination concerns across the tech industry.
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·2 min
Poolside Desktop Assistant Launch: A New AI Coding Paradigm That Decouples Models from Interfaces
Poolside launches Desktop Assistant, advocating decoupling AI coding tool interfaces from underlying models and execution harnesses. Analysis of how this architecture grants developers model choice freedom.
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·3 min
The Complete Machine Learning Learning Roadmap: From Anxiety to Clarity
Overwhelmed by machine learning? This practical ML roadmap breaks the journey into three phases—math basics, classical ML, and deep learning—with mindset tips and project strategies for engineers.
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