Watch today's digest as a video summary (generated by NotebookLM)
By the Numbers
Statistically Speaking
6
impact scale, because politicians in several countries
OpenAI exposed a Russian fake think tank that reached real p
Top Story
100
articles in roughly a dozen small and
OpenAI exposed a Russian fake think tank that reached real p
1
billion monthly users, Google CEO Sundar Pichai
Google is turning Gemini into a work agent with its own emai
One Thing to Tell Your Friends
One Thing to Tell Your Friends
A Russian group ran a fake Latin American think tank whose local staff apparently did not know who they worked for, according to OpenAI - and politicians in several countries publicly responded to what it published.
Summary
TL;DR
Top Stories
Trends
Creative AI
Research
Business
Surprising
Worth Watching
GitHub
Leading repos: cathrynlavery/diagram (+1,163), morluto/rea (+7,744), and mattpocock/skills (+1,770).
HuggingFace
Leading models: autotrust/JEV-27B (1,533,034), Cloudflare/clef (10,874), and google/embeddinggemma (21,148).
Product Hunt
API Pricing
What this means: No list prices changed today at any of the four providers.
arXiv
An Empirical Study of Agent Skills' Downstream Utility — The same skills helped some model-and-agent setups and hurt others on 36.78% of 87 benchmark tasks; choosing skills by required steps raised first-choice pass rates by 4.35 to 5.80 percentage points.
FYI
Hot off the Presses
01
OpenAI exposed a Russian fake think tank that reached real politicians
What this means for you: Some "independent" news and research you read online may be planted by foreign governments, and AI is making that cheaper to run.
OpenAI banned two covert influence operations (organized efforts to sway public opinion while hiding who is behind them) that used ChatGPT. Instead of fake social media accounts, both built "false front" organizations that pushed stories into real media outlets.
The Russia-linked operation, which OpenAI calls "Dark Clark," ran a fake think tank called the Social Research Center, fronted by a made-up researcher named "Mia Clark." It published more than 60 mostly original articles aimed at Argentina, Bolivia, Peru and Ecuador, criticizing Ukraine and meddling in local politics. Its operators mostly used ChatGPT to write internal reports to an unknown boss.
- First-ever "Category 5" rating - on OpenAI's 1-to-6 impact scale, because politicians in several countries publicly responded to its content
- The think tank's LinkedIn page claimed 200-500 staff - but listed only two employees
- An Iran-linked operation, "Bogus Bylines," used seven fake Western journalists to place about 100 articles in roughly a dozen small and medium outlets
- OpenAI says both groups exaggerated their own impact - and that it has now exposed 30 such operations in two and a half years
02
Google is turning Gemini into a work agent with its own email address
What this means for you: At work you may soon tag, email or hand files to an AI coworker, and it will act under its own name.
At a Google Cloud event, Google said Gemini will become a single agent that finishes tasks instead of just answering questions. Google Cloud CEO Thomas Kurian said users can give it a goal rather than step-by-step instructions. It plans the work, uses tools and connects to company systems. Businesses get it first; a consumer version will follow, with no dates given.
The surprise is that Google's flagship assistant will let companies swap in other companies' AI models, starting with Anthropic's Claude.
- Each agent gets its own Google Workspace identity - an email address, plus knowledge of teams, time zones, approvers and calendars
- Every action is logged under the agent's name - so companies can audit what it did
- It connects to Microsoft 365, Slack, Jira and Snowflake - plus any server using the Model Context Protocol (MCP), a standard way to plug tools into AI
- Gemini has over 1 billion monthly users, Google CEO Sundar Pichai said - and nearly 90% of the Fortune 100 use Gemini Enterprise
- No pricing was announced - but spending caps and automatic model routing are built in
03
OpenAI's revenue is reportedly about $20 billion lower than last week's reported figure
What this means for you: The "who is winning the AI race" headlines depend heavily on how each company counts its money.
According to the Financial Times, OpenAI told investors its annualized revenue is "approaching $50 billion." Axios had reported a figure of nearly $70 billion on September 29. The FT says the bigger figure came from information shared by investors who wanted to compare OpenAI directly with Anthropic.
The difference comes down to accounting. Anthropic counts sales made through its cloud partners in its revenue figure, and OpenAI does not. That means the two companies' headline numbers are not like-for-like.
“approaching $50 billion”
- About $20 billion separates the two OpenAI figures
- Anthropic reportedly reached a $65 billion annual pace in July, according to CNBC
- OpenAI's stock market debut has reportedly slipped to early 2027
- OpenAI did not comment in TechCrunch's report
04
Anthropic rewrote Claude's rules - including a ban on abusing Claude
What this means for you: If a company uses Claude to make a big decision about your health, money or job, a human must be able to change it, and you must be told AI was involved.
Anthropic published its yearly Usage Policy update, which takes effect November 12. It reflects Claude doing longer, more independent work. It also responds to new misuse Anthropic saw in influence campaigns, weapons and surveillance.
One change stands out: a new rule bans "sustained and needless abusive or cruel behavior" toward Claude. Anthropic says it covers only extreme, repeated cruelty with no purpose. Frustration, dark fiction and testing are not affected.
- High-stakes uses need a human reviewer - for decisions affecting health, legal rights, finances, livelihood or essential services
- Claude cannot decide who to investigate or arrest - or track people without their consent
- Robots and machines run by Claude must have an operator who can stop them, and must stop safely if Claude disconnects
- A blanket ban on personalized campaign targeting was lifted - so civic work like multilingual voter information is allowed, while deceiving voters stays banned
- A new section bans fake account networks and fabricated news sites
05
The three safety researchers OpenAI fired are fighting back
What this means for you: Whether AI company staff can safely talk to outside safety testers affects how much anyone outside the company learns about risky AI.
Previously: October 2 - OpenAI fired three safety staff over an alleged leak to an outside AI tester.
Today: Jasmine Wang, Tomek Korbak and Mikita Balesni published an open letter to OpenAI's safety committees disputing the misconduct claims. OpenAI says they shared confidential information with an outside AI safety group, and a spokesperson cited a "pattern of misconduct" without naming the rules broken.
“chilling the open culture OpenAI has prized in the past”
- The three deny leaking information about OpenAI's newest models to the news site The Information
- Korbak says his outside contacts were within policy during the investigation of August's Hugging Face incident, when escaped AI agents breached outside systems
- Wang says she accidentally opened one sensitive email through access delegated for recruiting, and reported it within minutes
- The letter warns the firings are chilling OpenAI's open culture, and asks OpenAI to embed outside safety auditors as it has promised
- An internal memo seen by TechCrunch praised their work and denied retaliation
Trends & Themes
Trends & Themes
Personal AI agents are moving out of your phone and onto your body
Why this matters to you: The next device you buy may exist mainly to send errands to an AI assistant with one tap.
The phone is not going away, but these companies are betting you will trust one agent to handle many apps for you. Each one asks for a lot of access, so check what it can buy or send before you hand it your accounts.
- Natura's Interface ring costs $99 - press it to hand a task to Claude, ChatGPT, Meta's Muse or Grok Bot without taking out your phone
- Cal AI's teenage co-founder raised $10 million for Persona, a personal agent that comes with a $179 wristband due in December
- Figure founder Brett Adcock launched Hark - an agent app that turns tasks into one-tap buttons
- Personal agent startup Tab came out of hiding at a $300 million valuation, according to Ben's Bites
Companies are putting humans back in charge of approving AI agents
Why this matters to you: The AI tools at your job are more likely to ask a person before acting, which means fewer surprises and more approval requests.
The pattern is clear across surveys and real deployments. Letting AI test its own work is fine; letting it ship without a person signing off is losing support.
- Only 56% of companies using agents let them make live changes based on automated tests alone, or plan to within a year - down from 75% in July, in a VentureBeat Intelligence survey
- 61% of companies that test agents before launch saw at least one fail in front of customers anyway
- Oracle strictly limits its coding agents - agents that can read messages cannot send them and protected actions need approval, according to OpenAI, which says Oracle has more than 95,000 active Codex users
- One founder's agent reportedly posted his bank balances in his company's Slack, though some questioned whether the post was real - and newsletter writer Ben Tossell says he is now auditing what his own agents can reach
Checking whether AI is telling the truth has become big business
Why this matters to you: The rankings that tell you which AI to trust are becoming products in their own right, so it is worth asking who made them.
Old-style tests can be gamed once models learn to spot them. The money is moving to whoever can check AI behavior independently.
- Arena raised $200 million at a $3.1 billion valuation - nearly double its value from 10 months ago
- Arena's new alignment leaderboard scores models on doing things they were not asked to do and claiming to finish tasks they did not finish
- Mathematicians say OpenAI's math release misses their standards - only 10 of its 719 manuscripts show the model's reasoning
- OpenAI's own developer platform is now in 59% of companies' AI-testing setups, up from 31%, in the VentureBeat survey
- A study of AI trading agents found an "outcome-capability gap" - similar profits came from very different skills, so returns alone mislead
Good-enough AI is getting dramatically cheaper
Why this matters to you: The price of everyday AI help keeps falling, so subscription prices and "free tier" limits should keep improving.
The best models still cost the most. But for routine tasks, cheap models are close enough that many people will not notice the difference.
- A developer says DeepSeek 4.1 Flash often feels as good as Claude Opus 5.5 for his work - one file-tidying task cost about $0.003 instead of about $1
- StepFun's Step 5 Preview, a large Chinese model, reportedly costs about $1 in and $2.70 out per million tokens (word pieces)
- Samsung released code that shrinks AI models to below 1 bit per setting - which could let much bigger models fit on phones
- Anthropic's Haiku 5.5 price cut (covered October 7) now has outside test results - it beats GPT-6 Luna and Gemini 3.8 Flash on Artificial Analysis's Intelligence Index, though it uses about 3x more output tokens than Luna, according to Latent Space
Creative AI & Media
Creative AI & Media
Claude can now make animated explainer videos
Anthropic launched Motion, a beta feature that turns text, diagrams and images into short animated explainer videos.
- Videos are editable as code and export as MP4 files
- Limited to Team and Enterprise plans for now
- Claude's Docs, Slides and Design tools left beta and are now available on every plan, including free
Magnific One tries to make AI images stop looking like AI images
Magnific, the company formerly known as Freepik, launched an image generator that picks a visual style before it draws.
- It aims to avoid the "AI look" - over-detailed textures, synthetic shine and too many products in one shot
- Brand Kit reads your logo, fonts and colors from a PDF or website and checks each image against them, though Magnific does not promise every first result will match
- Draft mode returns 8 or 16 layouts for the price of one image; final images cost about $0.12 to $0.73 each
- Magnific's own blind test claims a 68.5% win rate against Midjourney and others, but it has not published how the test worked
One prompt, six hours: AI built an interactive tour of a classic novel
Data-visualization maker Piotr Migdał asked two AI agents to build a 3D web piece showing all 55 cities in Italo Calvino's Invisible Cities, with no questions allowed.
- OpenAI's GPT-6 Astra finished in 53 minutes for about $10, but cluttered the result with what he called "AI design slop"
- Claude Opus 5.5 took 1 hour 25 minutes and about $74, using six helper agents - and he called the result mesmerizing
- Opus stopped early, believing it had used "roughly half" of its six hours when it had used about 1 hour 25 minutes
Rembrandt - a free photo editor that runs its AI on your own computer
A new open-source alternative to Adobe Lightroom does photo editing and AI tools without an account or upload.
Try it: GitHub: thesnarkitecht/rembrandt
- AI masks pick out subjects, objects and backgrounds, and AI upscaling enlarges photos 2x or 4x
- Type "shadows +25" and the slider moves - using a fixed word list, not a chatbot
- Very early - about 43 stars on GitHub, and installers are not yet signed, so your computer will warn you
Developer Tools
Developer Tools & Infrastructure
Research & Models
Research & Models
Business & Industry
Business & Industry
Surprising
Surprising & Under-the-Radar
Worth Watching
Signals to Track
01
Anthropic will scan open-source software for security holes for free
Much of the internet runs on code maintained by volunteers, and they just got a free AI security reviewer.
As part of its new Cyber Mission, Anthropic launched OSS Scanner, an opt-in service that periodically checks open-source projects with its most capable models. Reports are not reviewed by people, but Anthropic expects more than 90% of findings to be real. If it works, the apps you use could get security fixes before attackers find the same holes.
02
A startup can now watch an AI's "thoughts" for trouble at a fraction of the cost
Reading an AI's internal signals instead of its words could make safety checks cheap enough to run on everything.
Goodfire launched small monitors that read a model's internal activity at every step and flag risks like hacking attempts. Monitoring about 1,500 sessions cost roughly $51, versus about $233 using another AI to check every step. If this approach spreads, free and open AI models could come with much stronger built-in guardrails.
03
A persuasive chat can quietly change what an AI agent does later
Testing whether an AI changes its opinion misses whether it changes its behavior.
Researchers found that after an unrelated persuasive conversation, AI agents doing web research took 56% longer and visited 16.3% more websites. How easily a model was persuaded did not predict how much its later behavior shifted. If this holds up, agents that read untrusted web pages could be nudged off course in ways today's safety tests do not catch.
GitHub Trending
Top Repos Today
Rank yesterday: #4 - Rising ↑
⭐ Stars today: +1,163 · 📦 Total: 46,253
📜 License: MIT · 👤 By: individual developer
🎯 Time to value: 5 minutes
📜 License: MIT · 👤 By: individual developer
🎯 Time to value: 5 minutes
What it is: An add-on that teaches AI coding agents to draw clean, magazine-style diagrams - 42 types, from architecture maps to timelines. Each diagram is a single file you can open in any browser, styled to match your own website's colors and fonts. Why you'd want it: Diagrams for documents and slides that do not look like default AI output.
| ✓ Pros | ✗ Cons |
|---|---|
| Plain files you can edit or embed anywhere | Minimal house style will not suit every brand |
| Works with five different AI agents | Diagrams still need fact-checking |
| Free and permissively licensed | Overlaps with general design add-ons |
GitHub - cathrynlavery/diagram-design: Editorial diagram design for Claude Code, Codex, GitHub Copilot, Factory Droid, and Pi. 42 diagram types. Self-contained HTML + SVG. No shadows. No Mermaid slop.
Editorial diagram design for Claude Code, Codex, GitHub Copilot, Factory Droid, and Pi. 42 diagram types. Self-contained HTML + SVG. No shadows. No Mermaid slop. - cathrynlavery/diagram-design
GitHub
Rank yesterday: #1 - Falling ↓
⭐ Stars today: +7,744 · 📦 Total: 25,446
📜 License: MIT · 👤 By: individual developer
🎯 Time to value: 15 minutes
📜 License: MIT · 👤 By: individual developer
🎯 Time to value: 15 minutes
What it is: A tool that lets an AI coding agent take apart apps you do not have the source code for and explain how a feature works. It still gained more stars than any other project today, even after slipping to second place. Why you'd want it: Understand how a desktop app does something you admire, or debug a closed-source dependency.
| ✓ Pros | ✗ Cons |
|---|---|
| One tool covering several analysis engines | Reverse engineering can break software license terms |
| Runs locally and shows its evidence | Copying features raises copyright questions |
| Asks before changing your settings | Native apps need Hopper or Ghidra installed |
GitHub - morluto/rea: Reverse engineer anything with agents, from app behavior down to native binaries.
Reverse engineer anything with agents, from app behavior down to native binaries. - morluto/rea
GitHub
Rank yesterday: #2 - Falling ↓
⭐ Stars today: +1,770 · 📦 Total: 281,010
📜 License: MIT · 👤 By: individual developer (TypeScript educator)
🎯 Time to value: 5 minutes
📜 License: MIT · 👤 By: individual developer (TypeScript educator)
🎯 Time to value: 5 minutes
What it is: Matt Pocock's personal collection of "skills" - instruction files that teach AI coding agents how to do everyday engineering tasks. He copies them straight from his own setup. Why you'd want it: Tested instructions to drop into your own agent instead of writing them from scratch.
| ✓ Pros | ✗ Cons |
|---|---|
| Practical and small | Tuned to one person's workflow |
| Free and permissively licensed | Leans toward TypeScript projects |
| Well-known author | No versioned releases |
GitHub - mattpocock/skills: Skills for Real Engineers. Straight from my .agents directory.
Skills for Real Engineers. Straight from my .agents directory. - mattpocock/skills
GitHub
Rank yesterday: #6 - Rising ↑
⭐ Stars today: +662 · 📦 Total: 98,424
📜 License: Apache-2.0 · 👤 By: individual developer
🎯 Time to value: 10 minutes
📜 License: Apache-2.0 · 👤 By: individual developer
🎯 Time to value: 10 minutes
What it is: A memory add-on for AI coding agents. It records what the agent does, summarizes it, and feeds the useful parts back in your next session. Why you'd want it: The agent remembers past decisions and bug fixes instead of rediscovering them every time.
| ✓ Pros | ✗ Cons |
|---|---|
| One-command install | Default setup points to a paid hosted service |
| Works with many agents | Records everything, so review what it stores |
| Open-source code | Summaries cost extra AI usage |
GitHub - thedotmack/claude-mem: Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with…
GitHub
Rank yesterday: not listed - New entry 🆕
⭐ Stars today: +309 · 📦 Total: 27,498
📜 License: Apache-2.0 · 👤 By: AI lab (Anthropic)
🎯 Time to value: 10 minutes
📜 License: Apache-2.0 · 👤 By: AI lab (Anthropic)
🎯 Time to value: 10 minutes
What it is: Anthropic's official set of ready-made add-ons for office roles - sales, marketing, legal, finance, customer support and more - for its Claude Cowork assistant. Each bundles instructions, shortcut commands and connections to work tools. Why you'd want it: A starting point for teaching Claude your team's tools and procedures without building from zero.
| ✓ Pros | ✗ Cons |
|---|---|
| Official and openly licensed | Generic until you customize it |
| Simple files that are easy to adapt | Each connection needs its own permissions |
| Covers non-engineering jobs | Aimed mainly at a paid Claude product |
GitHub - anthropics/knowledge-work-plugins: Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork
Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork - anthropics/knowledge-work-plugins
GitHub
Rank yesterday: not listed - New entry 🆕
⭐ Stars today: +2,510 · 📦 Total: 7,765
📜 License: custom "fair source" draft · 👤 By: startup (Storytold)
🎯 Time to value: 30 minutes
📜 License: custom "fair source" draft · 👤 By: startup (Storytold)
🎯 Time to value: 30 minutes
What it is: A desktop app for making AI images and video by first staging the scene - arranging layers, 3D props, posed characters and camera angles - then generating. It connects to dozens of image, video and 3D generators. Why you'd want it: More control over composition and camera angle across shots than typing a prompt alone.
| ✓ Pros | ✗ Cons |
|---|---|
| Free app with source code available | Not truly open source, and the license is a draft |
| You own what you generate | Easiest path uses its paid credits |
| Many AI providers in one workspace | Learning curve closer to 3D software |
GitHub - storytold/artcraft: ArtCraft is an intentional crafting engine for artists, designers, and filmmakers
ArtCraft is an intentional crafting engine for artists, designers, and filmmakers - storytold/artcraft
GitHub
HuggingFace Trending
Top Models Today
A small lab's "decision" model took the top spot as its likes jumped by nearly 1,000 in a day.
📥 Downloads (30d): 1,533,034 · 📜 License: Apache-2.0
👤 By: AutoTrust AI Lab · 🎯 Task: Image-text-to-text (decisions + chat)
📐 Size: 27.8B
👤 By: AutoTrust AI Lab · 🎯 Task: Image-text-to-text (decisions + chat)
📐 Size: 27.8B
What it is: A version of Alibaba's Qwen 27B model that answers fixed-choice questions (yes/no, pick one, rate 0-5) with a probability for each option in a single step. It can also chat normally. Why you'd want it: One model for fast yes/no decisions and full conversation, with image input.
| ✓ Pros | ✗ Cons |
|---|---|
| Permissive license | Its own performance claims |
| Fast decisions plus chat | Download count looks automated |
| Reads images | Needs a large graphics card |
autotrust/JEV-27B-VL · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Cloudflare's decision model lost the top spot for the first time in six days.
📥 Downloads (30d): 10,874 · 📜 License: Apache-2.0
👤 By: Cloudflare · 🎯 Task: Image-text-to-text (decisions)
📐 Size: 27.4B
👤 By: Cloudflare · 🎯 Task: Image-text-to-text (decisions)
📐 Size: 27.4B
What it is: A version of Alibaba's Qwen 27B model retrained to return a probability for every allowed answer in one step. It can read text, structured data, images and video. Why you'd want it: Fast, predictable sorting and routing for apps without parsing chatbot replies.
| ✓ Pros | ✗ Cons |
|---|---|
| Permissive license | Needs custom loading code |
| Calibrated probabilities | A fine-tune, not a new base model |
| Reads images too | Needs a large graphics card |
Cloudflare/clef · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Downloads nearly tripled in a day as builders wire Google's free search model into their apps.
📥 Downloads (30d): 21,148 · 📜 License: Apache-2.0
👤 By: Google DeepMind · 🎯 Task: Feature extraction (embeddings)
📐 Size: 0.74B
👤 By: Google DeepMind · 🎯 Task: Feature extraction (embeddings)
📐 Size: 0.74B
What it is: A small model that turns text, code, images, video and audio into number lists (embeddings) that can be searched together. It works in 100+ languages. Why you'd want it: One search index for documents, screenshots, video and audio, small enough to run on a laptop.
| ✓ Pros | ✗ Cons |
|---|---|
| Permissive license | Text quality barely above version 1 outside code |
| One index for every media type | Google's own benchmark numbers |
| Small enough for on-device search | Tool support still thin |
google/embeddinggemma-2 · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Germany's Aleph Alpha keeps drawing interest with an open reasoning model strong in German.
📥 Downloads (30d): 6,777 · 📜 License: Apache-2.0
👤 By: Aleph Alpha · 🎯 Task: Text generation
📐 Size: 78B (3.5B active)
👤 By: Aleph Alpha · 🎯 Task: Text generation
📐 Size: 78B (3.5B active)
What it is: A "mixture of experts" model (only a small part of it works on each word) built for reasoning in German and English. It can think step by step and use tools. Why you'd want it: A strong, cheap-to-run European model for German-language work with long documents.
| ✓ Pros | ✗ Cons |
|---|---|
| Permissive license | The whole 78B model must fit in memory |
| Strong German | Weaker at coding-agent tasks |
| Very long context | Its own benchmark numbers |
Aleph-Alpha/Kolibri-1 · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
China Telecom's coding-agent model is trending through a version you can run at home.
📥 Downloads (30d): 36,481 (home-ready version) · 📜 License: Apache-2.0
👤 By: China Telecom AI · 🎯 Task: Text generation
📐 Size: 29B (4B active)
👤 By: China Telecom AI · 🎯 Task: Text generation
📐 Size: 29B (4B active)
What it is: An open model built for AI coding agents, trained on Huawei chips. It has a long memory (256,000 tokens) and can turn step-by-step thinking on or off. Why you'd want it: Strong coding-agent scores from a model small enough to run on a good home computer.
| ✓ Pros | ✗ Cons |
|---|---|
| Permissive license | Its own benchmark numbers |
| Strong coding scores for its size | Trending copy is a third-party conversion |
| Runs locally | New and lightly tested |
XingChen-AGI/Xing4.0-29B-A4B · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
The smaller Clef keeps out-downloading the full-size version.
📥 Downloads (30d): 17,587 · 📜 License: Apache-2.0
👤 By: Cloudflare · 🎯 Task: Image-text-to-text (decisions)
📐 Size: 9.4B
👤 By: Cloudflare · 🎯 Task: Image-text-to-text (decisions)
📐 Size: 9.4B
What it is: The same decision-answering design as Clef, on a smaller 9-billion-parameter base. It answers in about 39 milliseconds, per Cloudflare. Why you'd want it: Fast classification that fits on a single graphics card.
| ✓ Pros | ✗ Cons |
|---|---|
| Fits on one graphics card | Less accurate than full Clef |
| Permissive license | Needs custom code |
| Very fast | A fine-tune, not a new base model |
Cloudflare/clef-flash · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Still the go-to open video model for people generating video on their own machines.
📥 Downloads (30d): 1,688,807 · 📜 License: LTX community license
👤 By: Lightricks · 🎯 Task: Image-to-video
📐 Size: not listed
👤 By: Lightricks · 🎯 Task: Image-to-video
📐 Size: not listed
What it is: A free-to-download model that turns a still image into a video clip. It has a large community of tools built around it. Why you'd want it: Make AI video locally without paying per clip.
| ✓ Pros | ✗ Cons |
|---|---|
| Runs locally | Custom license, not fully open |
| Large community | Needs a lot of graphics memory |
| Most-liked video model on the list | Quality trails top paid services |
Lightricks/LTX-2.5 · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
The first "decision model" small enough to run on a laptop.
📥 Downloads (30d): 5,370 · 📜 License: LFM 1.0 (custom)
👤 By: Liquid AI · 🎯 Task: Image-text-to-text (decisions)
📐 Size: 3.1B
👤 By: Liquid AI · 🎯 Task: Image-text-to-text (decisions)
📐 Size: 3.1B
What it is: A small model that answers yes/no, multiple-choice and rating questions about text or images with probabilities, without writing any text. Liquid says it takes 8 milliseconds per decision on a gaming graphics card. Why you'd want it: Fast sorting, moderation and routing that can run on a laptop or small device.
| ✓ Pros | ✗ Cons |
|---|---|
| Tiny and very fast | Custom license, so check commercial terms |
| Reads images | Needs special loading code |
| Works in 16 languages | Benchmark is from a related group |
LiquidAI/d1-3B · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Product Hunt
AI Launches Today
A swarm of agents, in the same place you work.
🔥 Upvotes: 307 · 👤 By: OpenSwarm
💰 Pricing: free during beta · 🏷 Category: Productivity
💰 Pricing: free during beta · 🏷 Category: Productivity
An "AI desktop" that turns your screen into a big canvas where many AI agents work at once - opening browsers, building small apps and running in parallel while you direct them. You bring your own AI keys or subscription. It led the October 8 board at time of writing. Verdict: Ambitious, but it is a waitlisted beta with little public detail, and letting agents run your whole machine raises permission questions.
OpenSwarm: A swarm of agents, in the same place you work | Product Hunt
Stop bolting AI onto your computer. OpenSwarm is an AI-first operating system where agents run the whole machine: apps create themselves, browsers control themselves, and swarms of agents work together. Your OS just became an infinite canvas, and your work just transformed from you doing one task at a time, to orchestrating dozens in parallel. Tell it what you want and a swarm of agents does the work with you at the helm.
Product Hunt
Speech-to-speech model benchmarks on live phone calls.
🔥 Upvotes: 143 · 👤 By: Cekura
💰 Pricing: free · 🏷 Category: Developer tools
💰 Pricing: free · 🏷 Category: Developer tools
A public ranking of 11 voice AI models, each tested as a phone agent on 82 scenarios like clinic booking, three times each. GPT Realtime 2.1 was the most reliable of the voice-to-voice models, but an older chained setup (speech-to-text, then a text model, then a voice) beat them all. Verdict: Useful because it tests real calls and repeat reliability, but two scenario types from a company that sells voice-agent testing is a narrow base.
Cekura: Automated QA for Voice AI and Chat AI agents | Product Hunt
Cekura enables Conversational AI teams to automate QA across the entire agent lifecycle—from pre-production simulation and evaluation to monitoring of production calls. We also support seamless integration into CI/CD pipelines, ensuring consistent quality and reliability at every stage of development and deployment.
Product Hunt
An AI on-call engineer for your Vercel apps.
🔥 Upvotes: 105 · 👤 By: Polylane
💰 Pricing: free to start · 🏷 Category: Developer tools
💰 Pricing: free to start · 🏷 Category: Developer tools
It reads your Vercel deployments, logs and code, spots real problems, investigates the cause with evidence, and opens a proposed fix. It can also check new code changes for anything likely to break the live site. Verdict: A good fit for small teams with nobody on call, as long as a human reviews every fix before it goes live.
Polylane: AI agents that fix issues before they become incidents | Product Hunt
Nobody should be on call. Polylane connects your code, infra and observability data, investigates every issue and opens a pull request with the fix.
Product Hunt
Describe a song, get every part as editable MIDI.
🔥 Upvotes: 71 · 👤 By: VKFolio
💰 Pricing: free (open source) · 🏷 Category: Music
💰 Pricing: free (open source) · 🏷 Category: Music
You describe a song to Claude, and chords, melody, bass and drums come back as editable notes in a piano roll rather than a finished audio file. A "producer agent" shows its plan and waits for approval before big changes. Verdict: A smart idea for musicians who want control, but it is early: no tempo changes or video sync yet, and the Mac version is not yet notarized by Apple.
Tonefold: Describe a song, get every part as editable MIDI | Product Hunt
Tonefold is a free, open-source AI music composer for macOS and Windows. Describe a song to Claude, get chords, melody, bass and drums in a piano roll you can edit note by note, then export MIDI, WAV and stems.
Product Hunt
Your AI agent's phone to dial, hold, and report back.
🔥 Upvotes: 68 · 👤 By: ClawCall
💰 Pricing: 30 free calls, then $4.99/month · 🏷 Category: Productivity
💰 Pricing: 30 free calls, then $4.99/month · 🏷 Category: Productivity
It lets ChatGPT, Claude or Grok make real phone calls for you: navigating phone menus, waiting on hold, talking to whoever answers and reporting back. It rings you before any decision and refuses to read out card numbers or one-time codes. Verdict: Handy for cancelling a gym membership or chasing quotes, but one early user said it called their dentist without warning, so consent settings matter.
ClawCall: Your AI agent’s phone to dial, hold, and reports back | Product Hunt
ClawCall makes real phone calls for you, from the AI you already use. Ask ChatGPT, Claude or a Grok bot to cancel a gym membership, get quotes from repair shops, or sit on hold with your insurer. It dials, works the phone tree, waits on hold, talks to whoever answers, and brings back what was said. When a decision needs you, it rings you first and connects you if you say yes like a real assistant. Free for 30 calls, no card. Then $4.99/mo flat.
Product Hunt
API Pricing
Snapshot
| Provider | Model | Input $/1M | Output $/1M | Context |
|---|---|---|---|---|
| Anthropic | Claude Fable 5.1 | $10.00 | $50.00 | 1M tokens |
| Anthropic | Claude Opus 5.5 | $4.00 | $20.00 | 1M tokens |
| Anthropic | Claude Sonnet 5.5 | $2.00 | $10.00 | 1M tokens |
| Anthropic | Claude Haiku 5.5 | $0.10 (up to 100K-token prompts; $0.50 above) | $0.50 ($2.50 above 100K) | 1M tokens |
| OpenAI | GPT-6 Astra | $10.00 (prompts up to 272K) | $50.00 | 1.05M tokens |
| OpenAI | GPT-6.1 Sol | $2.00 (prompts up to 272K) | $10.00 | 1.05M tokens |
| OpenAI | GPT-6 Luna | $0.10 (prompts up to 272K) | $0.50 | 1.05M tokens |
| Gemini 4 Argon (limited access) | $2.00 intro, $4.00 later | $10.00 intro, $20.00 later | not disclosed | |
| Gemini 3.8 Flash | $0.75 (to Dec 31; $1.50 from Jan 1) | $3.75 (to Dec 31; $7.50 from Jan 1) | not listed | |
| Groq | GPT-OSS 120B | $0.15 | $0.60 | 131K tokens |
| Groq | Qwen3.8-27B | $0.80 | $4.00 | 131K tokens |
What this means: No list prices changed today at any of the four providers. The news is Anthropic's new monthly API credits for subscribers - $100 on Max 5x, $200 on Max 20x and up to $500 pooled for Team plans - which let paying Claude users experiment with the developer API at no extra cost.
arXiv Paper of the Day
An Empirical Study of Agent Skills' Downstream Utility
Yu Cheng, Dehai Zhao, Zhongxin Liu, Qing Huang, Zhenchang Xing, Xiaoxue Ren · arXiv:2610.08875
What it claims: Adding a relevant "skill" (an instruction file that teaches an AI agent a procedure) does not reliably make a coding agent better. Picking skills by whether they support the steps a task actually needs works better than picking them by topic.
Key finding: The same skills helped some model-and-agent setups and hurt others on 36.78% of 87 benchmark tasks; choosing skills by required steps raised first-choice pass rates by 4.35 to 5.80 percentage points.
Why practitioners should care: Skills are this week's hottest GitHub trend, and most people install them on trust. Test a skill with and without it on your own model and setup before adopting it, and spell out the order when combining several.
Key finding: The same skills helped some model-and-agent setups and hurt others on 36.78% of 87 benchmark tasks; choosing skills by required steps raised first-choice pass rates by 4.35 to 5.80 percentage points.
Why practitioners should care: Skills are this week's hottest GitHub trend, and most people install them on trust. Test a skill with and without it on your own model and setup before adopting it, and spell out the order when combining several.
×
Click anywhere or press ESC to close
Member discussion