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EVs Are a Failed Experiment

https://spectator.org/evs-are-a-failed-experiment/
1•ArtemZ•6m ago•1 comments

MemAlign: Building Better LLM Judges from Human Feedback with Scalable Memory

https://www.databricks.com/blog/memalign-building-better-llm-judges-human-feedback-scalable-memory
1•superchink•7m ago•0 comments

CCC (Claude's C Compiler) on Compiler Explorer

https://godbolt.org/z/asjc13sa6
1•LiamPowell•9m ago•0 comments

Homeland Security Spying on Reddit Users

https://www.kenklippenstein.com/p/homeland-security-spies-on-reddit
2•duxup•12m ago•0 comments

Actors with Tokio (2021)

https://ryhl.io/blog/actors-with-tokio/
1•vinhnx•13m ago•0 comments

Can graph neural networks for biology realistically run on edge devices?

https://doi.org/10.21203/rs.3.rs-8645211/v1
1•swapinvidya•25m ago•1 comments

Deeper into the shareing of one air conditioner for 2 rooms

1•ozzysnaps•27m ago•0 comments

Weatherman introduces fruit-based authentication system to combat deep fakes

https://www.youtube.com/watch?v=5HVbZwJ9gPE
2•savrajsingh•28m ago•0 comments

Why Embedded Models Must Hallucinate: A Boundary Theory (RCC)

http://www.effacermonexistence.com/rcc-hn-1-1
1•formerOpenAI•30m ago•2 comments

A Curated List of ML System Design Case Studies

https://github.com/Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies
3•tejonutella•33m ago•0 comments

Pony Alpha: New free 200K context model for coding, reasoning and roleplay

https://ponyalpha.pro
1•qzcanoe•38m ago•1 comments

Show HN: Tunbot – Discord bot for temporary Cloudflare tunnels behind CGNAT

https://github.com/Goofygiraffe06/tunbot
1•g1raffe•40m ago•0 comments

Open Problems in Mechanistic Interpretability

https://arxiv.org/abs/2501.16496
2•vinhnx•46m ago•0 comments

Bye Bye Humanity: The Potential AMOC Collapse

https://thatjoescott.com/2026/02/03/bye-bye-humanity-the-potential-amoc-collapse/
2•rolph•50m ago•0 comments

Dexter: Claude-Code-Style Agent for Financial Statements and Valuation

https://github.com/virattt/dexter
1•Lwrless•52m ago•0 comments

Digital Iris [video]

https://www.youtube.com/watch?v=Kg_2MAgS_pE
1•vermilingua•57m ago•0 comments

Essential CDN: The CDN that lets you do more than JavaScript

https://essentialcdn.fluidity.workers.dev/
1•telui•58m ago•1 comments

They Hijacked Our Tech [video]

https://www.youtube.com/watch?v=-nJM5HvnT5k
1•cedel2k1•1h ago•0 comments

Vouch

https://twitter.com/mitchellh/status/2020252149117313349
34•chwtutha•1h ago•5 comments

HRL Labs in Malibu laying off 1/3 of their workforce

https://www.dailynews.com/2026/02/06/hrl-labs-cuts-376-jobs-in-malibu-after-losing-government-work/
4•osnium123•1h ago•1 comments

Show HN: High-performance bidirectional list for React, React Native, and Vue

https://suhaotian.github.io/broad-infinite-list/
2•jeremy_su•1h ago•0 comments

Show HN: I built a Mac screen recorder Recap.Studio

https://recap.studio/
1•fx31xo•1h ago•1 comments

Ask HN: Codex 5.3 broke toolcalls? Opus 4.6 ignores instructions?

1•kachapopopow•1h ago•0 comments

Vectors and HNSW for Dummies

https://anvitra.ai/blog/vectors-and-hnsw/
1•melvinodsa•1h ago•0 comments

Sanskrit AI beats CleanRL SOTA by 125%

https://huggingface.co/ParamTatva/sanskrit-ppo-hopper-v5/blob/main/docs/blog.md
1•prabhatkr•1h ago•1 comments

'Washington Post' CEO resigns after going AWOL during job cuts

https://www.npr.org/2026/02/07/nx-s1-5705413/washington-post-ceo-resigns-will-lewis
4•thread_id•1h ago•1 comments

Claude Opus 4.6 Fast Mode: 2.5× faster, ~6× more expensive

https://twitter.com/claudeai/status/2020207322124132504
1•geeknews•1h ago•0 comments

TSMC to produce 3-nanometer chips in Japan

https://www3.nhk.or.jp/nhkworld/en/news/20260205_B4/
3•cwwc•1h ago•0 comments

Quantization-Aware Distillation

http://ternarysearch.blogspot.com/2026/02/quantization-aware-distillation.html
2•paladin314159•1h ago•0 comments

List of Musical Genres

https://en.wikipedia.org/wiki/List_of_music_genres_and_styles
1•omosubi•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