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Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
1•1vuio0pswjnm7•1m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
1•1vuio0pswjnm7•2m ago•0 comments

Suno, AI Music, and the Bad Future [video]

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•4m ago•0 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•7m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•12m ago•0 comments

Watermark API – $0.01/image, 10x cheaper than Cloudinary

https://api-production-caa8.up.railway.app/docs
1•lembergs•14m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•17m ago•1 comments

Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•29m ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
5•o8vm•31m ago•0 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•32m ago•1 comments

GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•45m ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•47m ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•50m ago•0 comments

Show HN: MCP to get latest dependency package and tool versions

https://github.com/MShekow/package-version-check-mcp
1•mshekow•58m ago•0 comments

The better you get at something, the harder it becomes to do

https://seekingtrust.substack.com/p/improving-at-writing-made-me-almost
2•FinnLobsien•59m ago•0 comments

Show HN: WP Float – Archive WordPress blogs to free static hosting

https://wpfloat.netlify.app/
1•zizoulegrande•1h ago•0 comments

Show HN: I Hacked My Family's Meal Planning with an App

https://mealjar.app
1•melvinzammit•1h ago•0 comments

Sony BMG copy protection rootkit scandal

https://en.wikipedia.org/wiki/Sony_BMG_copy_protection_rootkit_scandal
2•basilikum•1h ago•0 comments

The Future of Systems

https://novlabs.ai/mission/
2•tekbog•1h ago•1 comments

NASA now allowing astronauts to bring their smartphones on space missions

https://twitter.com/NASAAdmin/status/2019259382962307393
2•gbugniot•1h ago•0 comments

Claude Code Is the Inflection Point

https://newsletter.semianalysis.com/p/claude-code-is-the-inflection-point
3•throwaw12•1h ago•1 comments

Show HN: MicroClaw – Agentic AI Assistant for Telegram, Built in Rust

https://github.com/microclaw/microclaw
1•everettjf•1h ago•2 comments

Show HN: Omni-BLAS – 4x faster matrix multiplication via Monte Carlo sampling

https://github.com/AleatorAI/OMNI-BLAS
1•LowSpecEng•1h ago•1 comments

The AI-Ready Software Developer: Conclusion – Same Game, Different Dice

https://codemanship.wordpress.com/2026/01/05/the-ai-ready-software-developer-conclusion-same-game...
1•lifeisstillgood•1h ago•0 comments

AI Agent Automates Google Stock Analysis from Financial Reports

https://pardusai.org/view/54c6646b9e273bbe103b76256a91a7f30da624062a8a6eeb16febfe403efd078
1•JasonHEIN•1h ago•0 comments

Voxtral Realtime 4B Pure C Implementation

https://github.com/antirez/voxtral.c
2•andreabat•1h ago•1 comments

I Was Trapped in Chinese Mafia Crypto Slavery [video]

https://www.youtube.com/watch?v=zOcNaWmmn0A
2•mgh2•1h ago•1 comments

U.S. CBP Reported Employee Arrests (FY2020 – FYTD)

https://www.cbp.gov/newsroom/stats/reported-employee-arrests
1•ludicrousdispla•1h ago•0 comments

Show HN: I built a free UCP checker – see if AI agents can find your store

https://ucphub.ai/ucp-store-check/
2•vladeta•1h ago•1 comments

Show HN: SVGV – A Real-Time Vector Video Format for Budget Hardware

https://github.com/thealidev/VectorVision-SVGV
1•thealidev•1h ago•0 comments
Open in hackernews

We Built GPT Image 1.5 Because AI Image Generators Still Suck

https://loraai.io/es/gpt-image-15
1•xbaicai•1mo ago

Comments

xbaicai•1mo ago
Look, we've all been there. You type a detailed prompt into an AI image generator, hit generate, and get back something that's... technically correct but completely misses the point. After burning through 20 credits and rephrasing your prompt for the tenth time, you give up and just pick whatever's closest.

That's the exact frustration that led us to build GPT Image 1.5.

The Real Problem Nobody's Talking About Most image generators treat your prompts like a bag of keywords. They see "modern office space with plants" and spit out generic stock photo vibes. But that's not how humans communicate. When a designer says they want something "modern," they're bringing context—maybe they mean Scandinavian minimalism, or maybe they're thinking sleek tech startup aesthetic.

We tackled this by building on GPT-5's language architecture. Not because it's trendy, but because it actually gets nuance. It understands the difference between "cozy coffee shop" and "hipster coffee shop" without you having to spell out every single detail.

Two Modes That Actually Make Sense Text-to-Image: Pretty straightforward. Describe what you want, get an image. Great for when you're starting from scratch or need to visualize an idea quickly.

Image Editing: This is where it gets interesting. Upload an image and tell the system what to change using plain English. "Make the background a beach" or "replace the laptop with a tablet." The fidelity controls let you decide how much of the original to keep—super useful when you need surgical edits versus complete overhauls.

Quality Tiers That Don't Feel Like a Scam We have three quality levels, and here's the honest truth about each:

Low: Fast and dirty. Use this when you're brainstorming or need to test five different concepts in two minutes.

Medium: The sweet spot for most work. Good enough for client presentations and internal reviews.

High: When it absolutely has to look polished. Final deliverables, print materials, stuff that matters.

No hidden "premium ultra max" tier. No artificial limitations to push you toward expensive plans. Just pick what fits your workflow.

Aspect Ratios Without the Headache Three options: square (1:1), portrait (2:3), and landscape (3:2). That's it. We're not trying to offer 47 different sizes because honestly, these three cover like 95% of real-world use cases. Instagram posts, blog headers, presentation slides—done.

Built for Teams Who Ship We're not positioning this as a toy for hobbyists. GPT Image 1.5 is for:

Design teams who need to mock up interfaces fast Marketing people cranking out campaign assets on deadline Product managers who need to show stakeholders what they're thinking Anyone who's tired of spending half their day wrestling with AI tools Commercial Rights Included Yeah, you can actually use these images in your products. Seems obvious, but you'd be surprised how many tools have weird licensing restrictions buried in the fine print.

gnabgib•1mo ago
No, you didn't. This is spam.

Discussion from Open AI (the builders of GPT Image 1.5) https://news.ycombinator.com/item?id=46291941