Reading up on generative-ai
100 deep · digging since nov 19, 25
- GPT Image 2.5 AI Image Generator
GPT Image 2.5 offers Flare and Sunburst models for fast or detailed AI image generation and editing, providing 5 free signup credits and tiered credit packs.
- Why A.I. Food Slop Looks So Gross
AI-generated food images often appear unappetizing because models overemphasize texture and color patterns, producing surreal, uncanny-valley visuals that trigger disgust.
- [2609.15369] SlopShape: Identifying AI-Generated Commercial Web Content
The paper shows that structural features of AI-generated commercial web content can detect AI text with 97% F1 even after rewording, and attribute the source model 68.6% of the time.
- My relationship with AI is changing - by Stephen D. Turner
Stephen Turner says AI-generated slop is flooding writing and academia, and that outsourcing writing to AI atrophies the judgment and creativity that give work its value.
- The Bitter Lesson
Over 70 years of AI research, methods that scale with computation—search and learning—consistently beat approaches that encode human knowledge, despite short-term gains from the latter.
- Did Anthropic’s A.I. Really Make a Scientific Discovery on Its Own?
Anthropic's claim that its AI Claude made a scientific discovery is disputed by a University of Copenhagen expert who says the AI merely reproduced their shared research.
- Sonifying Audio Transformers with Attention Tape Heads – (Michael Chinen)
The author sonifies transformer audio attention by playing back attended audio segments from wav2vec, MuQ, and HuBERT models, revealing how attention maps across time.
- AI-generated posters don’t have to be horrible
The article argues that AI-generated posters can be visually appealing when guided by thoughtful prompt engineering and human curation, avoiding common pitfalls.
- Grok 4.7 | Hacker News
xAI announces Grok 4.7, the latest iteration of its large language model family, sparking Hacker News discussion regarding performance improvements, new features, and competitive positioning in the AI landscape.
- GPT-6 Sol and Luna
The piece unveils GPT-6's Sol and Luna variants, outlining their improved reasoning, multilingual fluency, and anticipated applications across AI‑driven workflows.
- Claude Opus 5.5
Anthropic unveiled Claude Opus 5.5, its latest large language model, claiming enhanced reasoning, coding proficiency, and reduced hallucinations compared to previous versions.
- His Novel Had a Shot at a Top Book Prize. Then Someone Ran an A.I. Test.
Thélyson Orélien's novel was removed from a French book prize shortlist after an AI test raised authorship concerns.
- Bringing Your Muse to Life
Meta AI introduces Muse Realtime Avatar, a system that turns speech tokens into synchronized, expressive avatars with subsecond latency and high visual fidelity.
- Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS
Google introduces Gemini 3.8 Flash TTS and Flash‑Lite TTS models, offering customizable, expressive voice generation with consent‑verified replication and broad language support.
- What is Jev? Six pictures.
Jev is a non-conversational AI decision model from TypeSafe AI that made over 100 projects appear in its first week.
- Jev CEO: I made ChatGPT, now I'm building what's next
The CEO of Jev claims his team created ChatGPT and is now developing a new, unspecified AI product, framing it as the next major step in the field.
- Popular AI Engineer Talks and Transcripts
The page lists over a thousand AI engineer talks, providing video links, summaries, speaker bios, and timestamped transcripts searchable by topic.
- I Don’t Want to Read What You Didn’t Write
The author argues AI-generated writing lacks context and humanity, making it unreadable, and advocates using AI only as a verification aid while valuing authentic human writing.
- Loop Engineering explained in 8min..
Loop engineering uses a looping 'orchestrator' LLM to iteratively call smaller, specialized models, aiming to cut costs and latency or boost accuracy.
- Microsoft and OpenAI Workers Worry About ‘Largest Theft of Labor’ in History
Court documents reveal Microsoft and OpenAI employees fear that training AI on millions of news articles constitutes the largest theft of labor in history.
- GPT-6 Astra, Looped Transformers, and Hidden Reasoning
GPT-6 Astra achieves top coding and multimodal scores via looped transformers that reuse weights for extra depth, while recent work shows this architecture does not inherently conceal chain‑of‑thought reasoning.
- Introducing ChatGPT Images 2.5
OpenAI released ChatGPT Images 2.5, a new state‑of‑the‑art model that delivers sharper details, more precise editing, and faster generation for users and API customers.
- MiniMax H3 - Create 2K AI Videos from Text & References
MiniMax H3 enables users to generate 4‑ to 15‑second AI videos up to 2K resolution from text, first/last frames, or combined image, video, and audio references.
- Using Blender with coding agents on macOS
Frontier models like GPT-6 Astra can generate and render Blender scenes on macOS by directing the coding agent to the installed Blender app.
- GPT-6 Astra and the Fourth Exponential
GPT-6 Astra demonstrates reliable computer‑use capabilities, enabling AI to autonomously perform tasks like 3D modeling and spreadsheet work without APIs.
- GPT-6 Astra | Hacker News
The article mentions GPT-6 Astra, referring to an unverified or hypothetical iteration of the GPT series model colloquially named Astra, likely in speculative context.
- https://twitter.com/OpenAI/status/2095527557924082061/video/1 (via @OpenAI)
OpenAI unveiled Sora, a text-to-video AI model capable of generating realistic and imaginative scenes from text prompts, marking a significant advancement in generative video technology.
- Burp — Your AI editor for video & motion
Burp is an AI-powered editor that lets users generate on‑brand videos and motion graphics from a prompt, edit layers via chat, and export MP4, GIF, or 4K.
- Training AI to Paint with Code
Researchers demonstrate how an AI system can be trained to create visual art by generating and executing code using a novel reinforcement‑learning approach.
- Who Wins As Intelligence Commodifies? - by Rohit Krishnan
AI model commodification is eroding labs' moats, pushing them to pursue utility clouds, frontier‑oracle R&D, or conglomerate diversification to sustain profits.
- Ray 3.2 AI Video Generator - Create Controlled Videos Online
Ray 3.2 lets users generate or edit videos via text, images, or existing footage, offering up to 16 keyframes, native 1080p HDR, 16‑bit EXR output, and API access.
- Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows
Muse Glimmer is a 30B‑parameter language model designed for continuous, low‑latency local agent workflows, enabling always‑on AI assistance without relying on cloud services.
- Qwen 3.8 27B is excellent, but it defaults to overthinking things
The Qwen 3.8 27B language model delivers strong performance yet frequently produces excessively verbose, over‑analyzed outputs that hinder efficiency in practice.
- Claude: System Prompts
A Hacker News post disclosed Anthropic's internal system prompts for Claude, exposing the specific instructions that govern the AI assistant's responses, safety measures, and behavioral boundaries.
- Sick of A.I. Slop? So Are Tech Giants.
Spotify, LinkedIn, and other tech companies are fighting the surge of low‑quality AI‑generated content that is clogging their online platforms.
- How Claude's text watermarking works \ Anthropic
Anthropic explains that upcoming Claude models will embed an undetectable, EU‑mandated watermark that does not affect output quality and can be used to estimate AI involvement.
- Higgsfield AI — AI-native creative suite
Higgsfield AI launches a $1 million Global Film Festival to showcase its AI creative suite, highlighting the controllable Seedance 2.5 video model and its open‑source GPU training framework.
- Introducing Grok 4.6
Grok 4.6 advances long-running agent capabilities and visual/interactive work, matching GPT-5.6 Sol on the AA Intelligence Index and launching in Cursor and Grok Build with 2x usage for the first week.
- Software engineering at a proprietary trading company: Optiver
Optiver, a proprietary trading firm, has evolved from latency-focused trading to AI-driven models, building custom hardware and full-stack systems while maintaining high engineering ownership and risk-averse speed.
- GitHub - ericzakariasson/gloss: Personalize any website with a prompt. A floating orb screenshots the page, asks Grok, and streams new CSS onto it live.
Gloss is a Chrome extension that lets users personalize websites by sending a screenshot and prompt to the xAI Grok API to generate and inject live CSS and optional JavaScript.
- Google's classic Search button is gone in a new AI-first homepage
Google is testing an AI-first homepage for signed-out users that replaces the classic Search button with AI-powered shortcuts like Ask about files and Brainstorm, while Create images requires sign-in.
- Painting with Gaussians
The article explores the concept of 'Painting with Gaussians,' describing a method for generating or manipulating visual art using Gaussian functions to model and blend visual elements smoothly.
- Why Open-Source Models Haven't Killed the Big Dogs
Open-source models remain costlier to serve reliably due to infrastructure, utilization, and operational overhead, making hosted APIs from OpenAI and Anthropic more economical despite free model weights.
- This A.I. Just Created Viruses Not Found in Nature
Scientists used AI to design novel viral genomes from DNA libraries, resulting in 16 viable synthetic viruses not found in nature.
- Kimi K3 Architecture Overview and Notes
The article outlines the Kimi K3 architecture, detailing its modular design, training pipeline, and inference optimizations for large‑scale language models.
- HeyGen - AI Spokesperson Video Creator
HeyGen enables users to generate AI spokesperson videos from scripts using customizable avatars in minutes, eliminating the need for cameras or production crews.
- How GPT-5.6 fuses frontier intelligence with frontier efficiency
GPT‑5.6 Sol achieves higher reasoning performance than Claude Fable 5 on the Coding Agent Index while costing less than half as much.
- Chinese A.I. Start-Up Shows the World What It Has Built
Moonshot announced that certain users will need licenses to access its Kimi K3 model, balancing open sharing with monetization of the AI’s growing popularity.
- Yang Zhilin, the rock star founder behind China’s Moonshot AI
The article profiles Yang Zhilin, founder of China’s Moonshot AI, detailing his emergence as a leading figure in the nation’s generative AI industry.
- Advertise in ChatGPT
ChatGPT has introduced an advertising feature allowing businesses to promote products within its chat interface according to a Hacker News post announcing the new capability for targeted ads.
- Who's afraid of Chinese models?
The article discusses growing concerns among Western tech firms and policymakers that Chinese AI models are rapidly advancing and may challenge US dominance in generative AI.
- 4 Prompts That Can Tell You What Chatbots Really Know About You
The article reveals four simple prompts you can use to uncover what ChatGPT and Gemini have inferred about your personal data, demonstrating how easily chatbot privacy can be breached.
- Meet the Companies Shelling Out for Top AI Models - WSJ
Despite rising costs, certain companies choose expensive frontier AI models from OpenAI and Anthropic for their superior reasoning and versatility over cheaper alternatives.
- #ai #agenticai #aicoding #codex #openai #openaidevs
Shuang Zheng built a tower-defense game called Acornado using GPT‑5.6 Sol in two quick iterations, achieving a polished prototype in under 17 minutes.
- Inkling: Our Open-Weights Model
Inkling is introduced as an open-weights model made publicly available by its developers, emphasizing transparency and community collaboration in AI model sharing.
- Video Generation Models are General-Purpose Vision Learners
GenCeption turns a pretrained video generation diffusion model into a unified, feed‑forward vision system that matches or beats task‑specific SOTA across depth, normals, pose, segmentation and keypoints using text prompts.
Takes
It was hilarious at first, funny at second but it’s starting to get tiring and borderline annoying, Grok Bot and Codex/Dots not stopping at throwing punches at one another
@GergelyOrosz
Indeed. It’s an annoying skillset right now because of how fast the meta changes, but you can in fact get gud at prompting your ideas to life.
@brian_lovin
Introducing Griffin, the first model to pass the video Turing test. 48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video. It’s the first Human Interaction Model (HIM).
@tavus
We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks: Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better: Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better: Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better: Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work! In summary: - As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding. - Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.
@karpathy
GPT 6 Sol vs Opus 5.5 in a nutshell :/
@GaelBreton
incredibly thoughtful piece on AI and creativity hopefully we can make our producst better at enabling and amplifying creatives
@trq212
holy shit, opus 5.5 is kind of insane at animation. i didn't write a single line of code. it wrote the story, drew every frame, and made the music. no image assets at all, it's all JS. the story is called "small print": claude gets a pile of requests every day. it circles the human part hidden inside them, like "one hand. baby's asleep", and drops it into a jar. at night, those words turn into stars and join up into a constellation. rendered with hyperframes, all in one index.html. it synthesized the music in python, then went through the render second by second and polished it again.
@Voxyz_ai
for the past few months i've been asking our models to paint. opus 5.5 is very skilled at emulating different styles every image here is a python program generated pixel by pixel. there is no image model, and no off-the-shelf art software. instead, it's about 7,500 lines of code using standard libraries to emulate different brush styles. the agents don't use any pictures as reference, instead working only from what they know about each painter
@jkeatn
Yet to see an example of something grok bot, instinct, muse etc can do that codex or claude can’t do with the same prompt
@frantzfries
Recursive Meta-Intelligence
@ProfBuehlerMIT
GPT-6 Astra by our community
@OpenAIDevs
① Open Gemini, Grok, or GPT Image 2.0 ② Upload your favorite photo ③ Paste the prompt below ④ Generate your own stunning AI image 🔥 Prompt: ⤵️
@Alina_with_Ai
I had early access to GPT-6. This model will completely shatter your understanding of what's possible, and it will start a new era of creativity. It's hard to explain how big of a jump this is, so I'll share my tests. 1/6 Made this 3D model and animation in code from an image.
@skirano
New plugin alert: watch all of your agents work inside of a pixel art office!
@get_bb_app
If you're trying out Fable 5.1 I highly recommend running: /claude-api prompt-audit on your skills. It finds a bunch of redundancies and rules to remove for the latest models. Running it for all my skills now.
@petergyang
I've asked Claude Fable 5.1 to create 100 HTML files Rules were simple: - look stunning - zero repetitive designs - go full creative mode All 100 files created in one single prompt. These are the BEST results I’ve had with this type of experiment, beating any other model. It’s really good on the frontend, and there are almost no broken files. It's truly impressive. See the results for yourself (incl. prompts):
@MiaAI_lab
Fable 5.1 is a beast at many things but one thing in particular I have been having a ton of fun with is generating videos through code. For this one I gave it a picture of a property lot. It designed a house for the lot, rendered it, and produced a cinematic walkthrough.
@alexalbert__
We’re introducing Claude Fable 5.1 and Claude Mythos 5.1. They're the world’s most advanced models for coding and knowledge work.
@claudeai
Today is a very historical moment for AI video generation You can now generate AI video faster than you can watch it Before it'd take let's say 2-5 minutes to generate 15 seconds of video @fal made a post-trained Minimax H3 variant called Max which is 50x faster than the original but still maintains quality It generates 15 seconds of video in 9 seconds! That means you can now do new things like build a perpetual livestream with it that never ends!
@levelsio
We’re excited to announce the OpenAI Build Week winners 🥁 Meet the builders behind the eight winning projects and see what they shipped with Codex. https://openai.com/build-week
@OpenAIDevs
EVERYTHING you see in the video below was generated using Claude Code. Turns out, you can vibe animate your way to a demo video with some super cool motion graphics elements. Doesn't mean it's an easy task, but you'd be surprised by what it's capable of. #Claude #Remotion
@TimotejKochjar
Spotify gave ChatGPT Sol its entire catalogue. Sol listened and came up with this playlist of “the best.” A couple things: 1) a measure of AI’s taste? which gets to some interesting philosophical questions; and 2) clearly my next earnings week playlist. https://open.spotify.com/s/Rlw2Xz6
@eastdakota
the models have no moat (OpenAI, Anthropic, XAI) the IDEs have no moat (Cursor, Windsurf) the harnesses have no moat (Cognition, Factory, LangChain) the app builders have no moat (Replit, Lovable, Bolt) the wrappers have no moat (Harvey, Abridge, OpenEvidence) the inference providers have no moat (Together, Fireworks, Groq) the voice layer has no moat (Sierra, Decagon, ElevenLabs) the data labeling companies have no moat (Scale, Surge, Mercor) the AI infrastructure has no moat (Baseten, Modal, Railway) the neoclouds have no moat (CoreWeave, Lambda, Crusoe) the generative media companies have no moat (Runway, Higgsfield, Suno) apparently nobody in AI has a moat except the venture firm ☠️
@nikunj
The cool thing about AI is it's letting people add their own little flavor of creativity to all their projects You'd never make this by hand 5 years ago, but with AI it's easy to generate it and used properly it gives everything more color and personality!
@levelsio
Well, that was impressive. /goal is unstoppable on Codex (I still can't get myself to say @ChatGPT)
@ryancarson
A very fun exercise is to export all your bank accounts (as CSV) both personal and business and stock broker And dump it all into Claude Code and ask it to make a little dashboard showing your spending It's hard to know how much you actually spend over lots of accounts so this can help you understand that You'll spend some time merging transactions (like company names change or their statement label changes), and categorizing, you can just do this by talking to Claude Code btw very easy, I also hooked it up to @xai Grok so it can use that to categorize mass transactions (very cheap) The best part isn't the dashboard it makes but that once you have all the data collected, you can ask Claude Code lots of questions directly about your finances and learn stuff, like I learned: - I was paying for some subscriptions for 2 years I forgot about ($$$) - My US stocks charge me withholding tax (30%) on dividends, which I knew but never realized how much $$$ it was (which is why non-US citizens should buy UCITS ETFs not US stocks!) - My pool remodeling was ridiculously expensive compared to the rest of the home remodeling and we got fleeced hard (that's life!), then the pool company caused a €9000 water leak that they won't pay (funny) - I spent $400K on domains over the years, I should probably stop spending money on them, it's an addiction @marckohlbrugge gave me and it's way more than my gf's shopping - My biggest monthly cost by far is AI at about $24K/month in GPU costs for Photo AI, but that's just how it is, I already got the cheapest rates possible, AI is pricey! - My 2nd biggest cost is taxes, who would have thought??? - Travel is quite expensive, flying business class, getting nice hotels and regularly traveling adds up a lot! - My business costs without AI (!) are extremely low, about $5K/month on revenue which is about 98% profit margin (!), with AI it goes up to $28K/mo or about 86% profit margin (still good!) - Lawyers become quite an expense in this part of my life, you buy a house you pay a lawyer and notary, you register trademarks for your business you pay a lawyer, but they're a great thing to spend money on I think because they protect you from losing much more money than they cost! - I started spending much more money since 2022 because of AI costs but also making much more money because of AI, so it's good - My spending has remained remarkably consistent as a percentage of my net worth at "just" 5%/year, which is close to FIRE which is always my goal (don't spend over 3%/year of your net worth), in my case it's different cause I actually have company income, so it's more of a fun goal to be responsible with my money - Around 2024 my life definitely switched from barely spending money and living as a digital nomad to buying a house and spending on that a lot, I knew a house was a money pit, but it's also a nice money pit and it helps me sleep better (great AC and bedroom), live healthier (home gym), and work better (coworking), so it's worth it - I barely have any personal subscriptions except Netflix, YouTube and Spotify, I asked it to built a "Recurring subscriptions" box too so I can see what subs I have and cancel them Try it!
@levelsio
BREAKING: Today we've ended unemployment. I just watched Claude pay me $1,548.33 to wait for its replies. This is so absurd.
@chddaniel
1B+ people are now using @Geminiapp every month to spark new ideas and get things done. It’s our fastest growing product ever, and our 14th to hit the 1B-user mark. Kudos to @JoshWoodward & the entire Gemini team, and thank you to everyone who has been on this journey with us - much more to come!
@sundarpichai
The @Google team is showcasing Gemini Omni Flash, a preview model available through AI Studio and the Gemini API. It creates or conversationally edits 3 to 10 second, 720p clips from text, images or video. Output costs $0.10 per second, matching Veo 3.1 Fast.
@digg
ChatGPT team is shipping:
@gdb
as someone who spends more than $300,000 / month in AI models, I can tell you: you're being scammed Seedance 2.5 costs about $0.10 per second of video, bare minimum. that's the price WE pay. before upscaling, storage, retries, and all the generations you throw away. one 30-second video = ~$3 in pure model cost a normal creator iterates 3-10 times to get one so one good video = $15-30 now do "unlimited" at $59/month. two good videos and they're losing money. the math never works. so when you see "unlimited", it's always one of these: 1. a silent throttle (your 5-min renders become 60-min renders) 2. a quiet rename ("unlimited" becomes "enhanced fast" after you paid) 3. a moving start date (you were promised 7 days, you actually get 1) and it's likely all 3. I'd love to sell unlimited too. it would print signups. but I pay the model providers every month, and I'd rather show you a real price than rename your plan after checkout. if the math can't work, you're not looking at a price, you're looking at a scam
@tibo_maker
@lennysan @lukeharries Would it be useful to have an http://elevenmusic.io connector in Claude? Would give fable full creative freedom over our incredible music v2 model
@louisjoejordan
2016: build it and they will come 2021: write content and they will come 2026: be the answer ChatGPT gives, and they'll come
@tibo_maker
Fable is really good at launch videos It essentially one-shotted this video. I told it to read my launch post and create a launch video. That's it. It ran for 46 minutes (without asking me any questions), found all the product logos, and spit this out. I then asked it to add music, so it logged into my @ElevenLabs account within my Chrome, generated the music, and mixed it in. Wild.
@lennysan
There’s been a lot of speculation about where we stand on open-weights models. We’ve outlined our views in full here: https://www.anthropic.com/news/position-open-weights-models
@AnthropicAI
Introducing Impeccable 4 *world builder* However many ways you ask, "be creative!!!" does nothing to an LLM. v4 cracks it, and greenfield work is where it shows. • a creative engine for greenfield and redesign: directions seeded and fused from hundreds of human-approved visual worlds • hyper-optimized for frontier models (GPT 5.6, Fable and class), on a core 58% smaller • far simpler to use: no command to learn, it works out the job itself (blank slate, redesign, added section, scoped refinement) • mobile app design, the #1 request, now in alpha: Apple HIG or Material 3 on top, audit and adapt running as VoiceOver and TalkBack passes • Grok Build and Mistral Vibe join the supported harnesses • plenty more
@pbakaus
Honestly think this is the most transformational release we’ve had in the world of ai since openclaw.
@gmoneyNFT
I think loops were a short-lived patch for models that couldn't reliably keep working on long problems until they hit a defined goal Fable and GPT-5.6 (and probably Kimi K3 as well) can just do that out of the box, unassisted
@simonw
is there any writing on chatgpt's new memory system it used to suck and is now very good
@thdxr
few weeks ago, Fable 5 was so advanced it needed the gov and had to be taken offline. today, we have access to arguably better models for $20/month. took what? six weeks?
@shadcn
👀 GPT 5.6 Sol Prompt below ↓
@bogdan_qclay
AI writing is so good now, there are only a handful of idiosyncrasies left to point out. Those will vanish shortly.
@pmarca
My favorite use case of GPT-5.6? Video Editing. Drop MP4 -> "Make 60 second hype video" -> Enjoy Full tutorial on yt: https://www.youtube.com/watch?v=gAWbvEwUoiI
@clairevo
You can now vibe code a language model. From a single prompt, GPT‑5.6 built the entire training pipeline and trained a model from scratch on my iMessage history. Locally on my Mac. It now generates replies in my writing style.
@skirano