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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor GitHub - GenAI-Gurus/awesome-eu-ai-act: Curated tools, official sources, OSS, templates, and guides for EU AI Act compliance. Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders How to Switch AI Chatbots and Why You Might Want To GitHub - MattMessinger1/agentic_refund_guardrail: Safe refund policy layer for AI agents — Python + TypeScript. Same behavior, shared tests. Adam/papers/emergent_values_whitepaper.md at master · strangeadvancedmarketing/Adam Ask HN: How do you stop playing 20 questions with your AI coding tools How far can automation and AI support psychotherapy? - @theU GitHub - stagas/rtdiff: realtime git diff gui and AI-assisted commits A Mac Studio for Local AI — 6 Months Later A History of the Early Years of AI at the University of Edinburgh Why AI Coding Tools Still Feel Stuck on Localhost MSN AI Datacenters Are Becoming Strategic Targets twitter.com Penn Researchers Use AI to Surface Unreported GLP-1 Side Effects in Reddit Posts Show HN: MoodSense AI (ML and FastAPI and Gradio, Deployed on Hugging Face) Moodsense Ai - a Hugging Face Space by aman179102 AI models are terrible at betting on soccer—especially xAI Grok GitHub - xialeistudio/echoic GitHub - HimashaHerath/github-dev-wrapped: AI-powered weekly GitHub activity reports deployed to GitHub Pages GitHub - alejandrobalderas/claude-code-from-source: Architecture, patterns & internals of Anthropic's AI coding agent — reverse-engineered from source maps AI and Tech brief: Ireland ascendant GitHub - Titovilal/context0: Context0 - Never Surrender Training for a Marathon with an AI Coach: What Worked and What Didn't Cyber Pulse: Agentic Intel - Apps on Google Play I Built an AI PR Reviewer That Catches Bugs by Not Looking for Bugs Gen Z workers are so fearful AI will take their job they’re intentionally sabotaging their company’s AI rollout | Fortune How AI Is Reimagining the Game of Golf–For Both Players and Courses GitHub - nattergabriel/reseed: A CLI tool for managing and distributing agent skills across projects Is SVG the final frontier? 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MSN GitHub - visionscaper/collabmem: Enabling long-term collaboration with Agentic AI - building up episodic and world model memory over time with in-context awareness We gave an AI a 3 year retail lease in SF and asked it to make a profit | Andon Labs AI Code is Hollowing Out Open Source, and Maintainers are Looking the Other Way What leaked "SteamGPT" files could mean for the PC gaming platform's use of AI AI is the boss at this retail store. What could go wrong? GitHub - Wuzu11517/agentic-proxy: Local proxy meant to help reduce With Drones, Geophysics and ArtificiaI Intelligence, Researchers Prepare to Do Battle Against Land Mines A Single Operator, Two AI Platforms, Nine Government Agencies: The Full Technical Report 在 Steam 上购买 FriedrichAI: Offline AI 立省 10% GitHub - inevolin/resume-cli: Hit Claude usage limits? Resume any AI coding session elsewhere. Switch tools at zero friction. GitHub - atripati/ark: AI Runtime Kernel — a context operating system for AI agents. Eliminates tool bloat, loads only what’s needed, and gives LLMs their reasoning space back. How to Build a Secure AI PR Reviewer with Claude, GitHub Actions, and JavaScript This Startup Wants You to Pay Up to Talk With AI Versions of Human Experts Intel Arc Pro B70 Brings 32GB VRAM to Local AI for $949 WordPress 7.0: The Good, the AI, and the Still Missing AI on the couch: Anthropic gives Claude 20 hours of psychiatry IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures AI Agents Know About Supabase. They Don't Always Use It Right. The history and future of AI at Google, with Sundar Pichai Inside an AI‑enabled device code phishing campaign How Meta Used AI to Map Tribal Knowledge in Large-Scale Data Pipelines AI for Systems: Using LLMs to Optimize Database Query Execution Forecasting the Economic Effects of AI Introducing Tinker: Play with AI, bring your ideas to life AI sheds light on an ancient gaming mystery People really hate AI but not as much as Iran—or Democrats | Fortune What is an AI Product Engineer? Phoebe Gates wants her $185 million AI startup to succeed with 'no ties to my privilege or my last name': 'I have a chip on my shoulder' | Fortune
Why the AI Revolution Hasn't Hit Game Development Yet
raymond_goo · 2026-06-02 · via Hacker News - Newest: "AI"

Why the AI Revolution Hasn't Hit Game Development Yet — And Why It's Coming Next

In his latest video, Why Games Now Take 6+ Years To Make, game development reporter Jason Schreier talks about why it takes current gen games up to and over 6 years to develop.

This got me curious.

AI has revolutionized programming!

Simple yet impressive demo games get built by a single prompt in under 10 minutes.

I myself have recreated Risk using AI in a day. (Source code)

I still remember slaving away day and night for 2 weeks, over 5 years ago, to bring Q3DM17 The Longest Yard into the browser using Three.js. (Demo / Source code)

Then recently I tried my luck with an always solvable Yukon Solitaire, where I cut my teeth on my first Rust project to find solvable boards.

I told the same to Claude Code and it implemented a solution that was better and faster in 3 prompts.

Yet still, Jason Schreier, knowing all of this current development full well, releases the above video. It's even a follow-up to his video from 4 days ago titled "Why Video Games Cost So Much To Make".

How is that possible? Shouldn't video games get cheaper and faster to produce, now that we live in "The Agentic Era"?

Well the answer is actually pretty simple:

What did we get so far from AI?

  • Complete song generators
  • Picture generators
  • Video generators
  • Text generators
  • Code generators
  • Text to Speech
  • Speech to Text

What do games need?

  • Sound effects and music that dynamically adapts to the action
  • Textures rather than complete pictures
  • 3D engines rather than video
  • Dialogue trees with branching conversation options
  • Quests and storylines
  • 3D models and levels
  • Animations
  • QA

So the simple answer is that large AI companies focused on the more common use cases first:

  • Large detailed images
  • Crazy ideas come to life videos
  • Entire genre songs
  • Chat and text to write your emails
  • Code generators for the everyday software engineer
  • Text to speech so we can finally listen to The Catcher in the Rye
  • Speech to Text so we can get the text of a Sean Carroll AMA video and skip to the parts we care about

Ok, got that. So when will these AI companies focus on game development and fix Starfield?

Basically now. In internal teams, this has been given as the next frontier.

Keep in mind that the games industry dwarfs the movie business.

  • The global video game industry generates roughly $190–250 billion per year, depending on the estimate and what is included (games, mobile, subscriptions, etc.).
  • Global movie box office revenue is usually around $30–40 billion per year.
  • Mobile gaming alone generates over $100 billion annually, making it larger than many entire entertainment sectors by itself.

Some examples that show the scale:

  • Grand Theft Auto V has sold over 200 million copies and generated billions of dollars in revenue over its lifetime.
  • Fortnite became such a cultural force that it hosted virtual concerts with millions of simultaneous viewers.
  • The delay of Grand Theft Auto VI was estimated by analysts to affect industry revenue by $2.7 billion in a single year.
  • The expectations for Grand Theft Auto VI are honestly on a scale the industry has never seen before. Some analysts estimate around $1 billion before release from pre-orders alone, $2–3 billion in its launch period. Market research firm DFC estimated roughly $3 billion in total sales during the first year, including pre-orders. For comparison, Grand Theft Auto V made about $1 billion in 3 days when it launched in 2013.

These are numbers large AI companies such as OpenAI, Anthropic, Google, Microsoft, Meta and Amazon won't ignore much longer.

Keep in mind that money maker Nvidia even started as a gaming hardware company. It would be more than natural for Nvidia to come full circle and provide the basis for AI generated games.

Amazon has the hardware and the media experience with gaming they need to go all in on this. They got bitten especially hard with exactly the problems Schreier describes in his videos, with their games New World and Crucible.

I won't talk much about Meta in this context, because… well we all know why. 🙂 Holy shit Zuck, get your act together man!

Google had an interesting experience in the world of gaming with Google Stadia — I still have 2 controllers lying around here somewhere. I loved the idea, but holy cow, having to buy the games again — how did that slip through in the business plan meetings?

In any case, Google is no stranger to the world of gaming. Yeah, they paid dearly for great tech that got destroyed by a stupid business plan, but who says they won't strike again given a good business plan. And there is one. At the very least Google will generate the hot mobile game of the month very soon. Why pay creators if you can gen it?

Tell an AI your game idea and out pops your game.

You think I'm crazy?

I guarantee this is coming next and right freaking soon.

Will it be one prompt to make a great game?

Of course not. It will take days and days of prompting different areas, different characters, and different dialogue trees to make a great game. But it will be possible. Mark my words. This is the next big thing.

Speculation about what GTA6 will cost customers is running wild. This will be the last major AAAA game to be made in the traditional way. Some people in the game industry hope for $100 just so there is a new standard and they can sell their games for $80 or $90. Imagine the revenue margins games would make if they are completely AI generated. These are revenue numbers no one will be able to ignore.

If OpenAI ever hopes to make their investors money back, this is the way.

What will it take to get there?

AI companies need to shift image generation to texture generation. The only challenge there is to figure out how to do the UV mapping onto 3D models.

This is trivial and as far as I know already solved.

AI companies need to shift to 3D model generation.

This is trivial and already solved — see Microsoft's TRELLIS.2 blog post and demo.

AI companies need to generate dialogue trees with branching conversation options based on the overall story of the game.

This is trivial and already solved — shout out to Friends and Fables.

AI companies need to shift to 3D world generation.

This is the only area where more research needs to be done, and where currently a heavy reliance on the particular 3D engine exists — for example Unreal Engine, which charges royalties for large games. So this will need to be heavily investigated.

One interesting aspect of this engine thing is the recent trend of rewriting an existing library in a new language using AI. Famous examples include the rewrite of Next.js by Cloudflare

Here is a nice essay on the topic: AI And The Ship of Theseus.

There even was a meme homepage recently where you could enter a GitHub repo and it would rewrite the entire codebase in a new language using AI, but I can't find it anymore.

What happens if someone decides to rewrite Unreal Engine using the Zig or Carbon programming language and releases it under the MIT license? I bet Epic Games didn't think about that scenario when they "open sourced" Unreal Engine in 2015.

OpenAI, Meta, Amazon, Microsoft, Anthropic and Google will become AI gaming companies very soon. The money is there, the incentives are there, and the tech can easily be adapted.

The next great game won't be made. It'll be prompted.