#API cost reduction
462 related articles
·4 min
Jensen Huang Rallies 20 American Companies Behind Open-Source AI, Mounting Pressure on Closed-Model Approach
Jensen Huang's AI manifesto rallies Microsoft, Meta, Dell & 17 more companies behind open-source AI, challenging closed-model monopolies on pricing, IP, and security.
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·2 min
Jensen Huang Praises DeepSeek and Kimi: Markets Have Twice Misjudged the Impact of Chinese Open-Source Models
NVIDIA CEO Jensen Huang says markets have twice misjudged the impact of DeepSeek and Kimi, arguing Chinese open-source models boost rather than reduce overall AI compute demand.
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·5 min
Is the Self an Illusion? Neuroscience Reveals the True Nature of Identity
Emory neuroscientist Gregory Burns argues the self is a story the brain weaves. From the Ship of Theseus to memory confabulation, explore how identity is shaped by narrative and how we can rewrite it.
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·4 min
15-Year-Old DIY Maker Builds High-Torque Precision Joint: $200 vs. $2,000 Industrial-Grade
A 15-year-old maker built a $200 robotic arm shoulder joint using a multi-stage reduction drivetrain (timing belt + cycloidal drive + capstan drive) with a 480:1 ratio, challenging $2,000 industrial joints.
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·1 min
Radxa Cubie A7Z Real-World Test: 330ms End-to-End Object Detection Latency Under Full NPU Load
Deep analysis of Radxa Cubie A7Z achieving 330ms glass-to-glass object detection latency under full NPU load, covering latency breakdown, practical use cases, and edge AI optimization strategies.
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·3 min
Building Cooling Without Air Conditioning: A Deep Dive into Traditional Passive Cooling Wisdom
Explore traditional passive cooling methods that work without air conditioning, including external shading, night ventilation, thermal mass design, and wind tower principles for natural, energy-efficient building cooling.
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·4 min
The Truly Scarce Skills of the AI Era: Why Focus and Execution Are the New Moat
When AI tools let everyone code and design, where is your edge? A deep analysis of why focus and execution are the scarcest superpowers in the AI era.
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·4 min
FPGA Softmax Approximation in Practice: A Detailed Guide to Taylor Expansion and Padé Approximation Methods
A detailed guide on efficiently implementing Softmax on FPGAs, comparing Taylor series and Padé approximation methods for accuracy and resource trade-offs, with Python simulation and range reduction techniques.
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·4 min
Gemini 3.5 Checkpoint Leaked: Intermediate Version Reportedly Outperforms Opus 5 in Testing
Reddit leaks suggest a Google Gemini 3.5 intermediate checkpoint outperformed Claude Opus 5 max thinking in testing. We analyze what checkpoints mean, benchmark credibility, and the LLM competition landscape.
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·2 min
GPT-5.6 Goes Live with Dual Quota Reset as AI Models Update Rapidly
GPT-5.6 fully launches with enhanced coding, computer operation, and long-horizon agent tasks, plus a dual quota reset. Meanwhile, ByteDance opens its C-Dance 2.5 API and Mistral debuts a single-RGB-camera natural language navigation model.
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·2 min
Getting Started with ChatGPT Codex: A Practical Guide to the AI Programming Assistant
Codex is OpenAI's AI programming assistant that lets you write code in natural language. This article breaks down Codex's core features, use cases, and why programmers must master AI coding tools.
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·2 min
Getting Started with ChatGPT Codex: A Practical Guide to the AI Coding Assistant
Codex is OpenAI's AI coding assistant that lets you write code using natural language. Learn its core features, use cases, and why programmers must master AI coding tools.
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·2 min
AI Agents Running a Solo Company: One Person Handles the Entire Weekly AI Newsletter Workflow
A new solo-company paradigm: replace human staff with AI Agent teams to fully automate newsletter research, writing, publishing, and analytics. 27,000 subscribers, monthly cost slashed from $1,500 to $19.
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·3 min
Anthropic's Hands-On Guide: How to Scientifically Choose and Evaluate AI Models
Anthropic's Applied AI team breaks down a methodology for choosing AI models: building custom evals, avoiding three common pitfalls, measuring value by cost per success, and cutting costs with prompt caching and context engineering.
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·2 min
AI Agents Running a One-Person Company: Handling an Entire Weekly AI Newsletter Solo
A new one-person company model: replacing human staff with an AI Agent team to fully automate newsletter research, writing, publishing, and analytics. 27,000 subscribers, monthly cost cut from $1,500 to $19.
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·1 min
Ponytail: The Open-Source Skill That Makes AI Write Less Code, Gaining 59K Stars in a Month
Ponytail, GitHub's #1 monthly open-source Skill, injects a 'less is more' philosophy into AI Agents, cutting code volume by an average of 54%. Compatible with 20+ Agents including Claude Code, Cursor, and Copilot.
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·1 min
Ponytail: The Open-Source Skill That Makes AI Write Less Code, Gaining 59K Stars in a Month
Ponytail, GitHub's #1 monthly open-source Skill, injects a 'less is more' engineering philosophy into AI Agents, cutting code volume by 54% on average. Compatible with 20+ Agents like Claude Code and Cursor.
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·5 min
DeepSeek's Five-Step Ladder to AGI: A Restrained Roadmap Built on Twenty Thousand GPUs
DeepSeek founder Liang Wenfeng reveals a five-step AGI roadmap from chain-of-thought to embodied intelligence. How does TileLang crack domestic GPU substitution under a 20,000-card constraint?
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·5 min
DeepSeek's Five-Step Ladder to AGI: A Restrained Roadmap Built on 20,000 GPUs
DeepSeek founder Liang Wenfeng reveals a five-step AGI roadmap—from chain-of-thought to embodied intelligence—under a 20,000-GPU constraint, using the TileLang compiler to break domestic substitution challenges while API cash flow backs AGI exploration.
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·3 min
DeepSeek Open-Sources DeepSpec: A Full-Stack Speculative Decoding Library with 60–85% Inference Speedup
DeepSeek open-sources DeepSpec, a full-stack speculative decoding library delivering 60–85% inference speedup and up to 661% throughput gains in production. MIT license, 9 checkpoints, 9 benchmarks.
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