Lmst

Simon Willison (@simonw)

Strong DM의 'Software Factory' 접근법에 대한 글로, AI 보조 소프트웨어 개발의 가장 야심찬 형태로 소개합니다. 이 접근법은 '코드는 인간이 작성해서는 안 된다'와 '코드는 인간이 리뷰해서는 안 된다'라는 두 가지 지침을 핵심으로 하며, 자동화된 코드 생성·검증 중심의 혁신적 개발 패러다임을 논의합니다.

https://x.com/simonw/status/2020161285376082326

#strongdm #softwarefactory #aidevelopment #codegeneration #devtools

The Hidden Cost of ChatGPT: Why AI Is Burning Millions in Power

843 words, 4 minutes read time.

Artificial intelligence is sexy, fast, and powerful—but it’s not free. Behind every seemingly effortless ChatGPT response, there’s a hidden world of infrastructure, energy bills, and compute costs that rivals a small factory. For tech-savvy men who live and breathe machines, 3D printing, and tinkering, understanding this hidden cost is like spotting a fault in a high-performance engine before it explodes: critical, fascinating, and a little humbling.

AI’s Energy Appetite: Not Just Code, It’s Kilowatts

Every query you type into ChatGPT triggers massive computation across thousands of GPUs in sprawling data centers. Deloitte estimates that training large language models consumes hundreds of megawatt-hours of electricity, enough to power hundreds of homes for a year. It’s like firing up your 3D printer farm 24/7—but now imagine dozens of factories running simultaneously. Vault Energy reports that even inference—the moment ChatGPT generates an answer—adds nontrivial energy costs, because the GPUs are crunching billions of parameters in real time.

For enthusiasts used to pushing their 3D printers to the limits, this is familiar territory: underestimating load can fry your board, warp your print, or shut down a build. In AI, underestimating the energy cost can fry the bottom line.

Iron & Electricity: The Economics of Compute

OpenAI’s servers don’t just hum—they demand massive capital investment. Between cloud contracts, GPU clusters, and custom infrastructure, the company is spending tens of billions just to keep ChatGPT alive. CNBC reported that compute power is the single biggest cost line for OpenAI, dwarfing salaries and office space combined.

For men who respect hardware, think of this as owning a high-end CNC machine: the sticker price is one thing, the electricity, cooling, and maintenance bills are another—and neglect them, and the machine fails. AI infrastructure mirrors this principle on a massive industrial scale.

Capital & Cash Flow: Can This Beast Pay Its Own Way?

Here’s the kicker: while ChatGPT generates billions in revenue, the compute costs are skyrocketing almost as fast. TheOutpost.ai reported a $17 billion annual burn rate, even as revenue surged. OpenAI’s projections suggest spending over $115 billion by 2029 just to scale services, a number that makes most venture capitalists sweat.

It’s like running a personal 3D-printing business where every new printer you buy consumes more power than your entire house, and the revenue from prints barely covers the bills. That’s growth pain in action.

Gridlock: Power Infrastructure Meets AI Demand

Data centers don’t just pull electricity—they strain grids. Massive GPU clusters require sophisticated cooling, sometimes more water and power than a medium-sized town. Deloitte and TechTarget both warn that AI growth could stress regional power grids if not managed properly.

For 3D-printing enthusiasts, this is like wiring a new printer farm into an old house circuit: without planning, it trips breakers, overheats transformers, and causes downtime. AI scaling shares the same gritty reality—without infrastructure planning, growth stalls.

Why It Matters to You

Men who love tech and machines understand efficiency, limits, and optimization. Knowing how AI burns money and power helps you think critically about cloud computing, energy consumption, and sustainability. If you’re running AI-assisted designs for 3D printing or using ChatGPT for coding or prototyping, understanding the cost per query, and the infrastructure behind it, is like checking tolerances before firing up a complicated print: essential to avoid disaster.

Even more, this awareness primes you to make smarter decisions on hardware investments, software efficiency, and environmental impact—not just for hobby projects but potentially for businesses.

Conclusion: The Future of AI Costs

The road ahead is clear: AI will grow, compute will scale, and the dollars and watts required will continue to climb. For tech enthusiasts and makers, this is a call to respect the machinery behind the magic, optimize wherever possible, and stay informed.

Call to Action

If this breakdown helped you think a little clearer about the threats out there, don’t just click away. Subscribe for more no-nonsense security insights, drop a comment with your thoughts or questions, or reach out if there’s a topic you want me to tackle next. Stay sharp out there.

D. Bryan King

Sources

Disclaimer:

The views and opinions expressed in this post are solely those of the author. The information provided is based on personal research, experience, and understanding of the subject matter at the time of writing. Readers should consult relevant experts or authorities for specific guidance related to their unique situations.

Futuristic data center glowing with GPUs and servers, visualizing ChatGPT’s energy and financial cost, with title overlay.

Anthropic just released Opus 4.6, supercharging Claude Code for long‑horizon development tasks. The update adds richer agent‑team orchestration, deeper code‑generation abilities, and tighter integration with open‑source tooling—making AI assistants more useful for complex software engineering projects. Curious how this could reshape your dev workflow? Read on. #ClaudeCode #Anthropic #AIdevelopment #LongHorizonTasks

🔗 https://aidailypost.com/news/anthropic-launches-opus-46-boost-claude-code-longhorizon-dev-tasks

Have questions or feedback about our MCP Server for Postgres (or about MCP servers in general)?

We'd really appreciate your input. Join the HackerNews discussion if it's easiest (https://news.ycombinator.com/item?id=46891091) or get in touch via replies or emailing community (at) pgedge.com

Haven't seen the pgedge-postgres-mcp project yet? Check it out: https://github.com/pgEdge/pgedge-postgres-mcp

#hn #hackernews #techdiscussion #mcpserver #mcp #modelcontextprotocol #aiagent #aidevelopment #aiapps #database #data #dataengineering

As the AI coding industry matures, one thing is clear: #AI used poorly creates massive #TechnicalDebt.

Skeleton Architecture helps tame the chaos. By separating human-owned base classes from AI logic, we can enforce security & structure while maintaining high velocity - all without architectural drift.

The 3 Key Pillars: 🔹 Structure code for AI consumption 🔹 Implement rigid guardrails 🔹 Shift skills from translation → modeling

📰 Dive deeper into Patrick Ferry’s #InfoQ article: https://bit.ly/4bv05Hr

#AIDevelopment #CodeGeneration #SoftwareArchitecture #SoftwareDevelopment

https://winbuzzer.com/2026/02/03/spacex-acquires-xai-orbital-data-center-constellation-xcxwbn/

SpaceX Acquires xAI to Build Orbital Data Center Constellation

#AI #ElonMusk #xAI #SpaceX #DataCenters #Space #AIInvestment #Satellites #AIDevelopment #Starlink

I'll Know It When I Build It" delves into AI's role in shifting software dev from "plotting" to "pantsing." It's a game-changer for PMs, enabling discovery through creation. Flexibility and iteration are key to product innovation. Highly recommended! #ProductManagement #AIDevelopment 🚀 https://cwodtke.com/ill-know-it-when-i-build-it/

Snowflake OpenAI $200M Partnership Deal Unlocks AI Agents for 12,600+ Companies

Snowflake OpenAI Partnership Deal: transform enterprise data with secure AI agents. Discover insights—subscribe for updates today.

#AI #ArtificialIntelligence #AIDevelopment

AI-driven coding accelerates development but introduces security, technical debt, and skill erosion risks. Adaptive trust models could act as intelligent guardrails, balancing innovation with safety and developer growth. Discover more at https://dev.to/rawveg/the-guardrails-we-need-37el
#HumanInTheLoop #AIDevelopment #SoftwareSecurity #TechTrust

Công cụ mã nguồn mở PromptScript giúp đồng bộ hướng dẫn AI (Copilot, Claude, Cursor) qua nhiều repos, giải quyết vấn đề "Prompt Drift" trong team lớn. Viết một lần, biên dịch cho nhiều nền tảng, hỗ trợ kế thừa và cập nhật tập trung. Cần phản hồi về cú pháp, tác dụng và nhu cầu thực tế trước khi ra mắt v1. #OpenSource #AIDevelopment #PromptScript #DevTool #CôngCụLậpTrình #PhátTriểnPhầnMềm #AI

https://www.reddit.com/r/SideProject/comments/1qte3et/im_closing_in_on_v1_of_my_opensource_tool_that/

Ramp revealed the architecture of Inspect!

Internal #AIagents are now handling ~30% of merged pull requests across their frontend and backend repositories.

How❓ By giving #AI the same access to the development environment as human engineers.

Check out #InfoQ for a deep dive: https://bit.ly/4btmhBS

#SoftwareDevelopment #AIdevelopment #PlatformEngineering

Pinterest cuts 780 jobs while investors question the AI pivot strategy: Pinterest reduces workforce by 15% to fund AI development, but shares sink 9.61% as analysts question whether automation addresses competitive pressures from Meta and TikTok. https://ppc.land/pinterest-cuts-780-jobs-while-investors-question-the-ai-pivot-strategy/ #Pinterest #JobCuts #AIdevelopment #TechIndustry #Investors

[Anders Hejlsberg의 GitHub 블로그 인터뷰에서 나온 7가지 교훈

C#과 TypeScript의 설계자 Anders Hejlsberg가 GitHub 블로그 인터뷰에서 공유한 7가지 교훈. 빠른 피드백, 소프트웨어 스케일링, TypeScript의 확장성, 오픈소스 성공의 핵심, 컴파일러 유지보수, AI 주도 개발 환경, 오픈 협업의 중요성 등을 강조.

https://news.hada.io/topic?id=26215

#softwareengineering #typescript #csharp #opensource #aidevelopment

[Show GN: LiDAR 인지 AI 개발에서 “데이터→라벨링→학습→배포”를 빠르게 돌리는 방법

뷰런테크놀로지(Vueron Technology)가 개발한 LiDAR 기반 인지 AI 개발 플랫폼 'VueX(뷰엑스)'를 소개하며, 데이터 수집, 라벨링, 모델 학습, 배포까지의 전체 프로세스를 통합하여 연구 및 프로젝트 반복 사이클을 빠르게 돌릴 수 있는 솔루션을 제공한다. CES 2026에서 인사이트와 데모 영상을 공유하며, LiDAR/3D 인지 분야의 연구자들에게 유용한 플랫폼임을 강조한다.

https://news.hada.io/topic?id=26216

#lidar #aidevelopment #perceptionai #autonomousdriving #robotics

Tommy Collison (@tommycollison)

Cursor가 글로벌 기업 대상 AI 지원 소프트웨어 개발을 위해 인포시스(Infosys)와 파트너십을 체결한다는 발표. 기업용 소프트웨어 개발 영역에서 Cursor의 확장과 인포시스의 글로벌 채널 결합을 알림.

https://x.com/tommycollison/status/2016563912179843548

#cursor #infosys #enterpriseai #aidevelopment

You gave us feedback, and we listened. Beta 2 is out for the pgEdge MCP Server for #Postgres!

Before, the #MCP server was only able to query data - now there's an optional write access mode, with security guards built-in.

We've also reduced token consumption, reorganized the CLI commands to improve the user experience, & created a new hybrid chunking algorithm. ⚙️

💬 https://www.pgedge.com/blog/what-s-new-in-the-pgedge-postgres-mcp-server-beta-2-and-beta-3

#postgresql #opensource #oss #ai #llm #aiops #llmops #aidev #aidevelopment #aiprogramming #programming

#AI is transforming software development - from code generation to automated documentation.

But beyond the hype, what’s actually changed?

#InfoQ spoke with engineers, architects, and tech leaders to explore how AI-assisted tools are reshaping day-to-day development - and the lessons they’ve learned in real-world use.

📰 Read the virtual panel here: https://bit.ly/46hFeUr

#SoftwareDevelopment #AIDevelopment

AI coding assistants are transforming software development, but they require meticulous upfront planning and structured specifications to avoid architectural drift and inefficiencies. Embracing disciplined specification practices ensures teams harness AI’s potential effectively.
Discover more at https://smarterarticles.co.uk/the-architecture-tax-ai-coding-assistants-demand-better-planning?pk_campaign=rss-feed
#HumanInTheLoop #AIDevelopment #SoftwareArchitecture #CreativeTechnology

There are many use cases for both RAG and MCP servers - but there are significant differences in how your data is accessed & protected depending on your choice.

Our vice president of engineering (Dave Page) wrote a thorough guide on which to choose and when - if you missed it before, here's the link:

🔗 https://www.pgedge.com/blog/rag-servers-vs-mcp-servers-choosing-the-right-approach-for-ai-powered-database-access

#programming #rag #mcp #datasecurity #cybersecurity #dataprotection #opensource #postgresql #postgres #database #aidevelopment #appdev