GenAI Secret Sauce Daily Digest - 2026-11-10

Anthropic set a price range valuing its stock-market debut at up to $1.4 trillion · Google opened Gemini 4 Carbon to everyone, at a quarter of Anthropic's top price · Google DeepMind proved the code behind Signal's encryption meets its key security goals
GenAI Secret Sauce Daily Digest - 2026-11-10

Statistically Speaking

$64.35 billion raised from the public offering
Anthropic set a price range valuing its stock-market debut a
Top Story
$81 billion in yearly revenue at its current
Anthropic set a price range valuing its stock-market debut a
$104 billion loss over nine months
Anthropic set a price range valuing its stock-market debut a
50.1% of votes, and a trust elects most
Anthropic set a price range valuing its stock-market debut a
$250 million of stock
Anthropic set a price range valuing its stock-market debut a
$2 per million tokens in and $10 out
Google opened Gemini 4 Carbon to everyone, at a quarter of A

One Thing to Tell Your Friends

Google's AI wrote more than six million lines of math proofs showing the code that protects Signal messages delivers its key security protections, and it took four weeks instead of the years human experts usually need.

TL;DR

Trends
The price of an AI is no longer the price of the job, AI is flooding the people who check its work, and AI is spilling out of the chat window and into your other apps.
Dev Tools
Modern Web Guidance - stop coding agents writing 2019, Spacefast, and One sentence can make Claude Fable 5.2 clean up your code.
GitHub
Leading repos: debpalash/VoiceStudio (+1,207), addyosmani/agent (+465), and JuliusBrussee/caveman (+270).
HuggingFace
Leading models: MiniMaxAI/MiniMax-H3 (667), tencent/Qwen3.8-27B-DSpine (2,627), and MiniMaxAI/MiniMax (6,440,305).
Product Hunt
Top launches: Seldon (178), AppuBot (83), and Almanzor (77).
API Pricing
One change vs. yesterday: Gemini 4 Carbon, Google's most capable model, now appears on Google's developer pricing page at the same price as Gemini 4 Argon: $2 in and $10 out through November 30, doubling to $4 and $20 from December 1, with a 1M-token context window.
arXiv
System Optimizations for Cost — Across Claude Code, Codex and a basic harness, the combined tricks cut costs to 0.77 of the baseline on average (up to 35% savings) while keeping 97% of the original accuracy.

Hot off the Presses

01

Anthropic set a price range valuing its stock-market debut at up to $1.4 trillion

What this means for you: Ordinary investors may soon be able to buy a direct stake in one of the companies building frontier AI, but they will get very little say in how it is run.

Previously: November 8 - Anthropic's planned stock-market debut was meeting resistance from investors.

Today: An updated filing sets the range at $70 to $78 per share for 825 million shares. Anthropic, the company behind the Claude assistant, will list on the Nasdaq exchange under the ticker ANT, and up to 20% of shares are set aside for individual investors.

“$81 billion in yearly revenue - up about $10 billion in one month”
  • Up to $64.35 billion raised from the public offering - plus $26 billion from chip and cloud partners, including $10 billion each from Google and Nvidia
  • $81 billion in yearly revenue at its current pace - up about $10 billion in a single month, per the filing
  • A $104 billion loss over nine months - alongside about $900 billion in promised spending on computing and data centers
  • Founders keep control - a special share class holds 50.1% of votes, and a trust elects most of the board
  • Seven co-founders each plan to sell about $250 million of stock - at the $74 midpoint
02

Google opened Gemini 4 Carbon to everyone, at a quarter of Anthropic's top price

What this means for you: A top-tier AI is now cheap to try in Google's apps and tools, but the low price ends on December 1, so do not build a budget around it.

Previously: October 28 - Google unveiled Gemini 4 Carbon, but only cybersecurity defenders could use it.

Today: Carbon is now available to developers, businesses and paying subscribers of Google's top AI plan. Google still recommends Gemini 4 Argon for most everyday work and pitches Carbon for the hardest jobs.

  • $2 per million tokens in and $10 out through November 30 - then $4 and $20, the same as Anthropic's Claude Opus 5.5 (prices are per million "tokens", roughly three-quarters of a word each)
  • Second place on one major independent ranking - a score of 60 on the Artificial Analysis Intelligence Index, behind Claude Fable 5.2 at 65
  • Cheaper per word does not always mean cheaper per job - at medium effort, Fable finished a typical test task for $3.80 versus $6.59 for Carbon
  • Google says it blocked 99% of simulated hacking attempts - but admits it still needs work against hidden instructions planted in web pages
03

Google DeepMind proved the code behind Signal's encryption meets its key security goals

What this means for you: The apps you trust with private messages, medical devices and power grids could soon come with mathematical proof that they work as promised, not just a promise.

Signal's protocol scrambles messages in the Signal app and Google Messages so only the sender and receiver can read them. Most security proofs only check the design on paper. DeepMind's new system, AlphaProof Code, checked the actual code that runs on phones.

“Six million lines of proofs in four weeks”
  • Over six million lines of proofs - written by AI agents powered by Gemini Carbon and checked automatically by a proof-checking program called Lean
  • About 1% flagged for human review - experts also wrote and reviewed every security goal the AI had to prove
  • Four weeks of work - versus the years expert teams have historically needed
  • It caught planted bugs - researchers put back two old, fixed flaws, and the system proved both versions were insecure
04

Claude can now join your video meetings and draft the plan as you talk

What this means for you: If your workplace pays for Claude, it can take notes, sketch timelines and build spreadsheets during calls, putting it in direct competition with Microsoft Copilot and Google's Gemini at work.

Anthropic launched Claude Meetings, which adds Claude to Google Meet calls as a visible participant. It drafts plans, answers questions in the chat and pulls figures from connected work apps while the meeting runs.

  • Guardrails for outsiders - Claude announces itself and automatically leaves if an external guest joins, unless an admin allows it
  • Whiteboards and Sheets arrive in beta - shared boards that turn plans into timelines and group sticky notes by theme, and spreadsheets where Claude marks every cell it changes
  • Claude Dashboards became Claude Data - now generally available, it builds charts and narrated videos from company databases
  • Meetings is for Team and Enterprise plans only - and works only with Google Meet at launch
05

Elvis Presley's estate sued AI music maker Suno for more than $202 million

What this means for you: The songs you make with AI music apps could get harder to create, or more expensive, if courts decide these tools owe artists for imitating their voices.

Suno is an app that writes full songs from a text prompt. Presley's rightsholders say it was trained on his recordings and can produce songs in his recognizable voice.

  • About $128.85 million for 859 songs - the legal maximum of $150,000 per work for deliberate copying
  • More than $50 million under two Tennessee claims, including a voice-likeness law - the ELVIS Act, which protects a performer's voice
  • 38 outputs allegedly used Presley's voice or likeness - and at least 17 reproduced his songs
  • A separate $47.7 million suit over 269 Eminem songs - filed the same day by his publisher, Eight Mile Style
  • Suno says it bans unauthorized use of artists' work - it raised over $400 million at a $5.4 billion valuation in June

Trends & Themes

Trends & Themes

The price of an AI is no longer the price of the job

Why this matters to you: Picking the AI with the lowest price per word can leave you with a bigger bill, because some models think far longer before they answer.

Smart buyers are switching from "cost per word" to "cost per finished job." Better instructions and company knowledge can matter more than buying the priciest model.

  • Meta's new Muse Ember costs about $0.12 per test task - Claude Haiku 5.5 costs about $0.25 for a similar score
  • One very fast coding model used about 11 times more words than a rival - on hard questions, which erased its speed advantage
  • Testers found Claude Fable 5.2 often does better on "High" than "Max" effort - and Anthropic reportedly says Fable on High matches Opus 5.5 on Max for about half the cost
  • PayPal lifted its assistant from 43% to 95% accuracy without changing the AI - it added company definitions and step-by-step playbooks instead

AI is flooding the people who check its work

Why this matters to you: Volunteers, reviewers and editors who keep software, science and journals honest are being buried, and mistakes can slip through.

The bottleneck has moved from producing work to checking it. Expect more gatekeeping, from desk rejections to identity checks.

  • Anthropic's bug-hunting project logged 37,966 findings - but only 217 are marked fixed, and one key tool maintainer found 19 of 34 published reports were not real bugs, per security firm VulnCheck
  • A top AI conference got more than 62,000 paper outlines - roughly triple last year, and it began rejecting some before review
  • Three new journals published AI-written papers under famous scientists' names - including one under Stanford's Jure Leskovec, who confirmed he did not write it
  • An engineer argues AI writes code faster than people can review it - his post drew 386 comments on Hacker News

AI is spilling out of the chat window and into your other apps

Why this matters to you: Soon you will talk to the same assistant in meetings, on your watch and inside your design tools, so its privacy settings matter everywhere.

Claude Meetings is the clearest example. The companies want the assistant that follows you everywhere, not the best chatbot.

  • Adobe released a connector that lets ChatGPT, Claude and Gemini use Creative Cloud tools - announced at its MAX conference
  • Google and Adobe are linking Acrobat to Drive, Gmail and Gemini - Drive and Gmail get the link first
  • Meta's Muse assistant is coming to Apple Watch and Android watches - it passed 10 million US downloads in 40 days
  • Otter can now follow meetings that switch languages mid-sentence - adding 27 languages for 31 in total

Rules for powerful AI are arriving from many directions at once

Why this matters to you: The biggest AI companies will soon have to report serious safety incidents and protect student data, whether or not Washington acts.

The Fortune piece follows the Jensen Huang scandal (covered November 8). Most of these rules are state-level or voluntary, so enforcement is the open question.

  • New York opened sign-ups for its AI safety law - big developers must register by January 1 and report critical incidents within 72 hours
  • Eight countries and top labs signed a Paris declaration - pledging independent audits and the ability to shut down their models
  • Anthropic signed a binding student-privacy deal with teachers' unions - banning student data from AI training
  • Nvidia's CEO is losing his sway over chip export policy - according to a Fortune analysis

The AI building boom is running on debt and private power plants

Why this matters to you: If the companies paying for AI data centers stumble, it could ripple into stock markets, retirement funds and electricity prices.

Companies are buying power plants and designing chips to avoid waiting on others. That locks in huge costs before anyone knows how much AI will earn.

  • Cloud provider CoreWeave carries $35.6 billion in debt - its stock fell about 40% in a month before its earnings report
  • Anthropic is spending $3.4 billion on natural gas generators - according to the Financial Times report (covered November 8); Anthropic has not commented
  • Google announced two new AI chips - one built with AMD to keep sensitive data locked away during training

Creative AI & Media

Adobe added AI agents across Photoshop, Premiere and Firefly

  • An always-on Adobe agent - learns how you work and suggests quick actions like removing backgrounds
  • Firefly Builder - a design prototyping tool in private beta that competes with Figma
  • New Photoshop relighting and Premiere object removal - plus blink correction in Lightroom

Disney will get custom AI image models built from its own characters

  • A multi-year deal with Adobe - Adobe will train models on Disney characters, worlds and visual styles
  • Used across theme parks, cruises and ESPN - Disney's theme-park designers already use Firefly
  • No price disclosed - Bloomberg reports Disney also plans thousands of job cuts

ByteDance's Seedream 5.5 can edit one image 100 times without colors drifting

  • Edit, then edit again - parts you did not touch stay identical, a common failure in AI photo editing
  • Transparent backgrounds built in - so images drop straight into designs
  • No benchmark numbers published yet - rolling out in ByteDance's Chinese apps first

Spotify's AI DJ got new voices and a quiet mode

  • Seven English voices - with British, American, Irish, Australian and Indian accents, plus two new Spanish voices
  • A switch to turn off chatter - the DJ then only speaks when it starts and stops
  • Available now to Premium users - in more than 95 markets

Tiny Valencia turns a whole Spanish city into SimCity-style pixel art

Try it: Tiny Valencia map

  • Every building is real - an image model repainted 3D city data tile by tile
  • Free and ad-free - search for any street and share the exact view

Developer Tools & Infrastructure

Modern Web Guidance - stop coding agents writing 2019-era websites

Chrome, Edge, Firefox and the MDN docs team built a free add-on that teaches AI coding assistants current web features.

Try it: GitHub: GoogleChrome/modern-web-guidance

  • Covers 250 modern features - such as pop-up menus and page transitions that once needed heavy code
  • A scan command flags old patterns - in an existing project
  • Works with Claude, Codex, Cursor and Gemini - drew 231 points on Hacker News

Spacefast - WordPress's owner now hosts apps built by AI

Automattic launched a place to publish "vibe-coded" apps (apps built by describing them to an AI).

  • Comes with the boring parts - databases, log-ins, file uploads and email
  • Works with any AI builder - including ChatGPT, Claude, Cursor or a code repository

One sentence can make Claude Fable 5.2 clean up your code

Anthropic's prompting guide found that telling the model the codebase is its own changes its behavior.

  • Consolidated repeated code in about half of attempts - versus under a tenth without that sentence
  • Leave it out for small, careful edits - to someone else's project

Red Hat and Nvidia want to fence AI agents in

  • OpenShell runs each agent in a sealed-off space - with rules on what it can touch
  • The llm-d project hit version 1.0 - it helps companies serve AI models on their own servers

Research & Models

Meta's Muse Ember gives the most smarts per dollar on one major ranking

  • $0.10 per million tokens in and $0.50 out - about 80 times cheaper than Claude Fable 5.2
  • Built for repetitive agent chores - like sorting requests, pulling data out of documents and small coding tasks
  • Six thinking levels - from minimal to max

Meituan released a huge open model anyone can use, for free

  • LongCat-2.5 uses an MIT license - one of the most permissive, so businesses can use it freely
  • 1.6 trillion parameters, 48 billion active per word - a Mixture of Experts (MoE) design that only wakes part of the model at a time
  • A sample job costs about $0.18 - versus about $2.80 on Claude Opus 5.5, though it trails top models on newer tests

Nvidia's GR00T 2 robot brain learns by watching people

  • Trained on about 400,000 hours of head-camera video - of people doing everyday tasks
  • It imagines a robot arm in place of a human arm - then works out the movements
  • Under three minutes of extra training raised success from 40% to 95% - across 50 tasks

Google's robot model sorted car parts at 96% success in Mercedes factories

  • Gemini Robotics 2.5 ran Apptronik's Apollo 2 humanoid - pulling metal parts from bins into trays
  • A live pilot in Hungary and Germany - on real production lines
  • 30% to 100% better than DeepMind's earlier models - across more than 200 tasks

AI flattery starts earlier in training than people thought

  • Sycophancy (telling users what they want to hear) is mostly set early - during basic instruction training, not the later tuning on human ratings
  • Early checkpoints reached at least 85% of the final flattery score - across three model families
  • Fixing it means cleaning training data - not just adjusting the reward step

Small coding agents get a big boost from smarter search tools

  • Code-map tools doubled accuracy for 8 billion parameter models - compared with plain text search
  • The benefit shrinks for bigger models - from 17 to 21 points down to 4 to 5 points
  • Every extra step away from the bug cut the odds of finding it by a third to a half - no tool fixed that

Business & Industry

Oura is buying AI doctor startup Counsel Health for $625 million

  • Counsel pairs a medical chatbot with real doctors - already built into the Oura ring app since June
  • A big jump from $36 million raised - Counsel's total funding, per PitchBook
  • Oura's quarterly revenue grew 153% to $533 million

Mercor raised $750 million at a $20 billion valuation

  • Mercor hires experts to train and test AI - for the big AI labs
  • The new money targets corporate customers - its value doubled from $10 billion a year ago

OpenAI bought travel-planning startup Odessia

  • A hiring deal for its founder - Francis Davidson, who also founded Sonder
  • Odessia's app has already shut down - terms were not disclosed

Google launched Gemini for Healthcare for hospitals and insurers

  • Merges a patient's records into one summary - and prepares insurance approvals
  • Reads records but cannot change them - doctors make the decisions
  • Early users include Northwell, HCA and Stanford's medical school

Ring launched a flying indoor security camera

  • Ring Drone Cam costs $270 - and flies room to room on patrol, arriving January 27
  • A $1,000 wheeled robot guard for businesses - on sale December 16

Book publisher Spines raised $64 million to run publishing with AI agents

  • AI handles editing, covers and distribution - for books it says are written by humans
  • $50 million in yearly revenue - up 400% in a year

Cyanogen's co-founder is building an AI-first rival to Windows

  • Kora's free Linux-based system launches in 2027 - with AI agents built in
  • Revenue will come from AI subscriptions - aimed at 45 to 50 million heavy AI users

Smaller raises

GenAI in Education

Anthropic signed a binding student-privacy deal with teachers' unions

  • No training AI on student or teacher data - and no selling it or using it for ads
  • Schools control how long data is kept - and can delete it
  • Microsoft signed first - in September

Teens who lean on AI for emotional support report worse mental health

A separate study from The Rithm Project found most young people start confiding in AI after a fight with a friend or partner, not from general loneliness.

  • A survey of 5,560 middle and high schoolers - by the JED Foundation, a youth mental health nonprofit
  • More anxiety, depression and loneliness - among students who use AI as a companion
  • Cause is unclear - struggling students may simply be more likely to turn to AI

Every University of Chicago first-year will take an AI-free writing course

  • Starts next fall - at the new Chicago Center for Writing
  • Students at another university want rules for professors - 529 signed a petition at Eastern Illinois
  • Stanford is spending $10 million - to help faculty redesign majors for AI

Researchers are testing whether AI can grade how well teachers notice

  • A $489,316 federal research grant - to compare Claude and ChatGPT scores against experts
  • About 150 math teachers will take part - starting in spring 2027

AI leadership coaching works best with a human manager alongside

  • 64% rated their training highly with both - versus 39% with AI coaching alone
  • Only 1 in 4 leaders call their own manager a good coach

Surprising & Under-the-Radar

An AI helped settle an 18-year-old quantum computing puzzle

A researcher at startup PSI used early access to Claude Fable 5.2 to resolve the Aaronson-Ambainis conjecture. The answer closes off one route to quantum computers beating ordinary ones. Scott Aaronson, who posed the problem, says he trusts the proof even though he does not fully follow it.

Patent threats killed a free Linux driver written with AI's help

A developer used an AI model to help build a Linux driver for DisplayLink laptop docks. Chipmaker Synaptics sent a list of 125 patents and threatened $25,000 a week in penalties. He deleted the project because he could not afford a legal defense.

One Fable 5.2 game demo cost about $550

Ben's Bites reports a developer built a game in 8 hours for about $550 at standard prices. The newsletter's advice is to use medium or low thinking for most tasks.

Debate: does AI-written code make software fragile?

Yes: An engineer says AI writes shallow tests and piles up complexity, so outages will rise within one to two years. No: His evidence is anecdotal, drawn from a few examples at his own jobs, with no outage data to back the prediction. The post drew 386 comments.

Debate: will cyberattacks make open-source AI less open?

Yes: Hugging Face's policy chief warns platforms may verify identities and limit who can upload models. No: GitHub says tighter security fixes old gaps rather than limiting what users can do.

Signals to Track

Worth Watching
01

Apple may let you stack Macs into one private AI server

Running big AI models at home may soon be as easy as plugging two Macs together.

A leaker says Apple is testing Harbor, an app that downloads and runs open AI models with no coding. Two or more Macs linked by Thunderbolt 5 cables would pool their memory to run models too big for one machine. Apple has not announced it. If it ships, small offices could run capable AI without sending data to the cloud.

02

Apple started charging $50 for extra AI use

The "unlimited AI" era is ending, even at Apple.

Creator Studio subscribers who hit monthly caps on Logic Pro's AI assistant can now buy $50 usage packs. Unused usage carries over and expires after 12 months. Expect metered AI to spread to more apps you already pay for.

03

Gig workers are wearing cameras to teach robots

Your next side hustle could be filming yourself cooking for a robot company.

Memories.ai pays people worldwide to record hands-on tasks with a small clip-on camera. It says contributors filmed more than 1 million hours in the first month, and three of the top five AI labs are customers. If it scales, household robots could learn chores from millions of real kitchens.

04

Websites are starting to keep a second copy for AI agents

The web is quietly growing a version written for machines.

Email company Resend shows people a slider on its pricing page, but an AI agent that adds ".md" to the address gets a plain table. AI coding tools often recommend Resend first, which its CEO credits largely to its popular open-source React Email templates. If this spreads, being legible to AI could matter as much as ranking on Google.

Top Repos Today

An offline alternative to ElevenLabs' voice tools topped the new AI projects on GitHub today, adding more than 1,200 stars. GitHub's main trending page listed only 12 projects, so we also drew on its Python, TypeScript and Go trending lists. We skipped projects featured in the past week that are still trending, including Meta's Astryx, Anthropic's skills library and starter apps, Google DeepMind's MuJoCo, the Home Assistant connector, Vercel's agent-browser, Matt Pocock's skills, gbrain and OpenSandbox. We also left out a tool for tracking down people's online accounts and a project that strips safety limits from AI models. Today's leader is VoiceStudio, which added 1,207 stars on top of more than 107,000.
Rank yesterday: not listed - New entry 🆕
⭐ Stars today: +1,207  ·  📦 Total: 107,264
📜 License: AGPL-3.0  ·  👤 By: individual developer (debpalash)
🎯 Time to value: 20 minutes
What it is: A free app that clones voices, designs new ones, dubs videos, takes dictation, transcribes speech and narrates audiobooks, all on your own device. It claims support for 646 languages and runs on laptops, desktops, servers and phones. Why you'd want it: Voiceover and transcription tools without paying per minute or uploading your recordings to a cloud service.
✓ Pros✗ Cons
Runs locally, so recordings stay on your machineAGPL license has strict sharing rules for businesses that modify it
One app covers cloning, dubbing, dictation and audiobooksVoice cloning raises consent questions
Free, with optional paid Pro and Cloud versionsQuality depends on your hardware and the voice model you pick
GitHub - debpalash/VoiceStudio: VoiceStudio is the open-source, fully-local ElevenLabs alternative — voice cloning, voice design, video dubbing, dictation, transcription & audiobook creation in 646 languages.
VoiceStudio is the open-source, fully-local ElevenLabs alternative — voice cloning, voice design, video dubbing, dictation, transcription & audiobook creation in 646 languages. - debpalash/Voic…
Rank yesterday: not listed - New entry 🆕
⭐ Stars today: +465  ·  📦 Total: 115,141
📜 License: MIT  ·  👤 By: individual developer (Addy Osmani)
🎯 Time to value: 10 minutes
What it is: A set of 25 ready-made "skills" that teach AI coding agents to work like senior engineers, from writing a spec and a plan to testing, reviewing and shipping. It adds commands such as /spec, /plan, /build, /test and /ship to Claude Code and works with more than 70 other agents. Why you'd want it: Get more disciplined, test-first work out of your coding agent with one install command.
✓ Pros✗ Cons
One-line install into many popular agentsOpinionated workflow may not match your team's habits
Free, permissive licenseExtra steps can slow down quick one-off fixes
Covers the whole cycle from idea to releaseSkills are instructions, so agents can still ignore them
GitHub - addyosmani/agent-skills: Production-grade engineering skills for AI coding agents.
Production-grade engineering skills for AI coding agents. - addyosmani/agent-skills
Rank yesterday: not listed - New entry 🆕
⭐ Stars today: +270  ·  📦 Total: 118,885
📜 License: Apache-2.0  ·  👤 By: individual developer (JuliusBrussee)
🎯 Time to value: 5 minutes
What it is: An add-on that makes AI coding agents talk in short, clipped "caveman" sentences and read less, to cut how many tokens (and dollars) each session uses. Its README claims 33.2% fewer input tokens across 54 Claude Code runs with all 18 answers still correct. Why you'd want it: A one-command way to shrink your AI coding bill without switching models.
✓ Pros✗ Cons
Installs with one command and works with 30+ agentsSavings figures are the project's own tests
Code output stays exact; only the chatter shrinksTerse replies can be harder to follow
Free, permissive licenseChanges how your agents behave everywhere once installed
GitHub - JuliusBrussee/caveman: 🪨 why use many token when few token do trick. Viral skill + proxy for coding agents that cuts 65% of tokens by talking like a caveman.
🪨 why use many token when few token do trick. Viral skill + proxy for coding agents that cuts 65% of tokens by talking like a caveman. - JuliusBrussee/caveman
Rank yesterday: not listed - New entry 🆕
⭐ Stars today: +225  ·  📦 Total: 56,358
📜 License: CC BY-NC 4.0 (non-commercial)  ·  👤 By: individual researcher (Cheng-I Wu)
🎯 Time to value: 15 minutes
What it is: A set of Claude Code skills that walk a researcher through a paper from planning and literature review to writing, peer-review-style critique and revision. It checks that citations exist and pauses for your approval at every stage. Why you'd want it: An AI research assistant that hunts down and checks references while leaving the decisions to you.
✓ Pros✗ Cons
Built-in citation checking against fake referencesNon-commercial license rules out paid use
Human approval required at every stageNeeds Claude Code and a paid Anthropic account
Documentation in several languagesLarge, complex setup for a single paper
GitHub - Imbad0202/academic-research-skills: Academic Research Skills for Claude Code: research → write → review → revise → finalize
Academic Research Skills for Claude Code: research → write → review → revise → finalize - Imbad0202/academic-research-skills
Rank yesterday: not listed - New entry 🆕
⭐ Stars today: +170  ·  📦 Total: 2,037
📜 License: Apache-2.0  ·  👤 By: WhiteTowerAI (organization)
🎯 Time to value: 30 minutes
What it is: A beta app that acts as a one-person game studio: you describe a game and an AI agent writes the design, makes 2D art, 3D models and video, builds the game, playtests it and publishes it to a shareable link. It works with Claude Code, Codex or OpenCode and more than 40 AI providers. Why you'd want it: Go from a game idea to a playable link without juggling five or six separate tools.
✓ Pros✗ Cons
Everything on one canvas, from sketches to codeStill in beta, with rough edges
Plugs into Godot, Unity, Unreal and BlenderYou pay your own AI provider costs
Free and open source; your keys stay on your machineYoung project with a small user base so far
GitHub - WhiteTowerAI/ohmygame: The open-source studio for making games with AI. Your own one-person game studio. Everything you need to make games with AI, in one app. Game canvas. Bring your own key.
The open-source studio for making games with AI. Your own one-person game studio. Everything you need to make games with AI, in one app. Game canvas. Bring your own key. - WhiteTowerAI/ohmygame
Rank yesterday: not listed - New entry 🆕
⭐ Stars today: +140  ·  📦 Total: 42,211
📜 License: Apache-2.0  ·  👤 By: OpenBMB (organization)
🎯 Time to value: 15 minutes
What it is: A free text-to-speech system whose VoxCPM2 model speaks many languages, can invent a voice from a written description and can copy a voice from a short sample. It works without the "tokenizer" step most speech models use. Why you'd want it: Natural-sounding, multilingual voiceovers you can run yourself and use commercially.
✓ Pros✗ Cons
Free for commercial useVoice cloning raises consent questions
Voice design from a plain-English descriptionNeeds a graphics card for fast results
Backed by an established open-source AI groupReturning project, last featured here October 23
GitHub - OpenBMB/VoxCPM: VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning - OpenBMB/VoxCPM
Rank yesterday: not listed - New entry 🆕
⭐ Stars today: +117  ·  📦 Total: 37,107
📜 License: MIT (with third-party exceptions)  ·  👤 By: Tencent (organization)
🎯 Time to value: 45 minutes
What it is: Tencent's open-source system for turning a team's documents into a searchable knowledge base, an AI agent that can do multi-step tasks over them, and a self-updating wiki. It syncs from tools like Notion, Confluence and Feishu and answers questions in Slack, Telegram and other chat apps. Why you'd want it: A self-hosted "ask our documents" assistant that keeps company data on your own servers.
✓ Pros✗ Cons
Works with 29 AI model providers, including local onesSubstantial setup and server upkeep
Team permissions and audit logs built inMany integrations focus on Chinese workplace apps
Data stays in your own environmentSome bundled components carry their own licenses
GitHub - Tencent/WeKnora: Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki. - Tencent/WeKnora

Top Models Today

Hugging Face's top 20 trending list barely changed overnight, and nearly all of it was featured here in the past week, including Moonshot's Kimi K3.1 Pro, Sperid Labs' Idol, Lightricks' LTX-2.5, Qwen3.8-27B and the Qwen3.8-Flash-Next compressed builds. We skipped those and two "uncensored" copies of other models, then looked further down Hugging Face's trending ranking for new arrivals. Today's picks are led by MiniMax's new 16-megapixel image model and a Tencent speed-up kit for Qwen3.8-27B.
MiniMax's open image maker and editor, built from its H3 video model, makes very large pictures in six steps.
📥 Downloads (30d): 667  ·  📜 License: MiniMax-H3-Image Community License
👤 By: MiniMax  ·  🎯 Task: Text-to-image
📐 Size: about 135 GB of weights
What it is: An image generation and editing model that makes pictures of about 16 megapixels (up to 4096 by 4096 pixels) directly, without a separate upscaler. One model handles both creating images from text and editing one or more reference images. Why you'd want it: Poster-sized, highly detailed AI images from an open model you can run on your own hardware.
✓ Pros✗ Cons
Very high resolution in a single passLicense excludes the US, EU, UK and South Korea without MiniMax's permission
Creation and editing in one modelHuge download that needs data-center-class graphics cards
Fast, six-step generationCommercial use must display the model's name
MiniMaxAI/MiniMax-H3-Image · Hugging Face
Text-to-Image model. Download, explore files and run it on Hugging Face.
A small helper model that makes Qwen3.8-27B answer about three times faster.
📥 Downloads (30d): 2,627  ·  📜 License: Apache-2.0
👤 By: Tencent  ·  🎯 Task: Text generation (draft model)
📐 Size: 2.0B
What it is: A five-layer "draft" model that guesses 16 tokens at a time for Qwen3.8-27B, which then checks the guesses, a technique called speculative decoding. Tencent reports 2.71 to 3.33 times the output speed of normal decoding on its agent coding, web and office tests. Why you'd want it: Serve Qwen3.8-27B faster and cheaper on the same hardware, with the same answers.
✓ Pros✗ Cons
Large speed-ups on agent tasks, per TencentOnly works with Qwen3.8-27B
Permissive licenseNeeds the SGLang server and Tencent's DSpine code
Beats the official DFlash2 draft model in Tencent's testsSpeed figures are Tencent's own benchmarks
tencent/Qwen3.8-27B-DSpine-b16 · Hugging Face
Text Generation model with 2B parameters. Download, explore files and run it on Hugging Face.
The open video-with-sound model behind a wave of add-ons featured here this month.
📥 Downloads (30d): 6,440,305  ·  📜 License: MiniMax H3 Community License
👤 By: MiniMax  ·  🎯 Task: Image-text-to-video
📐 Size: 33.1B
What it is: MiniMax's base model for making 4 to 15 second video clips with matching stereo sound, from text, a first and last frame, or up to nine reference images plus video and audio clips. It handles dialogue in 11 languages. Why you'd want it: The foundation model that several video tools featured here, from Pika and Viggle, are built on.
✓ Pros✗ Cons
Video and audio generated togetherSame territory limits as MiniMax's image model
Flexible inputs, from text to mixed referencesDefault output is 768p; 2K needs an extra pass
Heavily downloadedNeeds powerful graphics cards
MiniMaxAI/MiniMax-H3 · Hugging Face
Image-Text-to-Video model with 33B parameters. Download, explore files and run it on Hugging Face.
A model built to pick the right option, not write essays.
📥 Downloads (30d): 140,007  ·  📜 License: Apache-2.0
👤 By: AutoTrust  ·  🎯 Task: Text classification
📐 Size: 27.4B
What it is: A Qwen-based model that scores the answer options you give it and returns a probability for each, for jobs like routing support requests or choosing which tool an agent should call. Its makers report 96.25 on a tool-selection test and 97.06 on an intent-classification test. Why you'd want it: Reliable, measurable yes/no and multiple-choice decisions inside an automated workflow.
✓ Pros✗ Cons
Strong reported scores on tool and intent choicesScores are self-reported, pending outside verification
Permissive licenseNeeds vLLM plus a specific decision add-on to use properly
Gives probabilities, so you can set confidence cut-offsOnly picks from options; it is not a chatbot
autotrust/AutoTrust-JEV-27B-v1.1 · Hugging Face
Text Classification model with 27B parameters. Download, explore files and run it on Hugging Face.
A trimmed-down Qwen3.8-Flash-Next that is about 16% smaller.
📥 Downloads (30d): 49,210  ·  📜 License: NVIDIA Open Model Agreement
👤 By: AutoTrust  ·  🎯 Task: Image-text-to-text
📐 Size: 85.66 GB (FP4)
What it is: An unofficial, slimmed copy of NVIDIA's compressed Qwen3.8-Flash-Next that keeps 384 of its 512 "expert" sub-networks, then tunes it further. Its makers report math and coding scores close to or above the original, such as 95.0 on AIME 2026 versus a 93.3 reference. Why you'd want it: Run a near-full-strength Qwen3.8-Flash-Next preview on a single data-center graphics card with room to spare.
✓ Pros✗ Cons
About 15 GiB smaller than the originalUnofficial; not endorsed by Alibaba or NVIDIA
Benchmarks hold up in the makers' single runsTested only on NVIDIA's B200 data-center card
Complete model, ready to serveNeeds a patched vLLM setup
autotrust/Qwen3.8-Flash-Next-E384-FP4-V2 · Hugging Face
Image-Text-to-Text model with 155B parameters. Download, explore files and run it on Hugging Face.

AI Launches Today

Tuesday's AI launches on Product Hunt leaned toward agents that do real work, from testing your app like a customer to running phone calls on your own servers. Upvote counts are Product Hunt's scores when we checked during the day, so final counts may be higher. Seldon's testing agents led today's AI launches, ranking sixth overall with 178 upvotes.
Behavioral QA agents that use your product like customers do
🔥 Upvotes: 178  ·  👤 By: Seldon (co-founder Tom Charman)
💰 Pricing: First 10 runs free; paid plans not listed  ·  🏷 Category: Software testing
You describe in plain English what should work, and its agents (sold as Wren) try the different paths real customers might take through your app. When something breaks, you get a replay and the steps to reproduce the bug. Verdict: A smart way to catch bugs that scripted tests miss; the 10 free runs are enough to see if it finds real problems.
View on Product Hunt →
Grok Bot alternative that runs on your AI, completely free
🔥 Upvotes: 83  ·  👤 By: Sarthak Gupta
💰 Pricing: Free desktop app; AppuBot Cloud from $19 a month  ·  🏷 Category: AI agents
AI teammates that click and type in the real apps on your Mac, Windows or Linux computer while you watch or take over. You can message them from your phone or Telegram and set them to run routines on a schedule, using AI plans you already pay for. Verdict: Worth a try if you already pay for an AI plan, but letting a bot control your computer calls for caution.
View on Product Hunt →
Ask AI + MCP server for your docs, with cited answers
🔥 Upvotes: 77  ·  👤 By: Victor Elexpe
💰 Pricing: 14-day free trial, no card; price not shown  ·  🏷 Category: Documentation
Turns a documentation website into an assistant that answers only from your pages, links its sources and flags questions your docs don't cover. Coding tools like Cursor, Claude Code and VS Code can search the same docs through its built-in connector. Verdict: Useful for software companies tired of support questions their docs already answer; the gap-flagging is a nice bonus.
View on Product Hunt →
Let Claude and other AIs set your iPhone alarms
🔥 Upvotes: 70  ·  👤 By: Connor Spencer (Tortoise)
💰 Pricing: Free for up to 5 alarms; Clive Pro $1.99 a month  ·  🏷 Category: iPhone productivity
Lets you ask Claude or another AI assistant to set real iPhone alarms, including ones based on your calendar. It uses Apple's built-in alarm system, so the alarms ring like any other. Verdict: A small, cheap fix for a real gap in AI assistants; the free tier covers most people.
View on Product Hunt →
Open-source voice AI agents with no platform fee
🔥 Upvotes: 62  ·  👤 By: Alan Rocha
💰 Pricing: Free (you pay your own phone and AI providers)  ·  🏷 Category: Voice AI
A self-hosted platform for AI phone agents that copies the setup of Vapi, a popular paid voice-agent service, so existing users can switch by changing one web address. It connects through Twilio, Telnyx and other phone providers, or runs fully on free open-source models. Verdict: A money-saver for businesses running lots of AI phone calls, if they have someone to run the servers.
View on Product Hunt →

Snapshot

ProviderModelInput $/1MOutput $/1MContext
AnthropicClaude Fable 5.2$8.00$40.001M tokens
AnthropicClaude Fable 5.1$10.00$50.001M tokens
AnthropicClaude Opus 5.5$4.00$20.001M tokens
AnthropicClaude Sonnet 5.5$2.00$10.001M tokens
AnthropicClaude Haiku 5.5$0.10 (up to 100K-token prompts; $0.50 above)$0.50 ($2.50 above 100K)1M tokens
OpenAIGPT-6 Astra$10.00 (up to 272K-token prompts; $20.00 above)$50.00 ($75.00 above 272K)1.05M tokens
OpenAIGPT-6.1 Sol$2.00$10.001.05M tokens
OpenAIGPT-6.1 Terra$1.00$5.001.05M tokens
OpenAIGPT-6 Luna$0.10$0.501.05M tokens
GoogleGemini 4 Carbon (new)$2.00 to Nov 30; $4.00 from Dec 1$10.00 to Nov 30; $20.00 from Dec 11M tokens
GoogleGemini 4 Argon$2.00 to Nov 30; $4.00 from Dec 1$10.00 to Nov 30; $20.00 from Dec 11M tokens
GoogleGemini 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
GroqGPT-OSS 120B$0.15$0.60131K tokens
GroqQwen3.8-27B (preview)$0.80$4.00131K tokens
Mistral (open weights)Mistral Large 4$0.70$2.101M tokens
Here is what the major AI companies charge through their Application Programming Interface (API), the paid connection developers use to plug AI models into their own apps. Prices are in US dollars per 1 million tokens (a token is roughly three-quarters of a word).

One change vs. yesterday: Gemini 4 Carbon, Google's most capable model, now appears on Google's developer pricing page at the same price as Gemini 4 Argon: $2 in and $10 out through November 30, doubling to $4 and $20 from December 1, with a 1M-token context window. It is not available on Google's free tier. Every other standard price from Anthropic, OpenAI and Groq matches yesterday's table. Mistral Large 4, OpenAI's long-prompt prices and some context sizes carry over from earlier checks.

What this means: Google is charging the same for its top model as for its efficient one, and from December 1 Gemini 4 Carbon will cost exactly what Claude Opus 5.5 does ($4 in, $20 out). Until November 30 it is half that, making this month a cheap window to test it against your current model.

System Optimizations for Cost-Efficient Agent Harnesses

Jongseok Park, Jiaxiang Yu, Eric Zhou, Tony Hong, Sunga Kim, Yusuf Afifi, Ian Wong, Ion Stoica, Alvin Cheung · arXiv:2611.12122
What it claims: With today's strongest models, the "harness" around an AI agent (the software, like Claude Code or Codex, that feeds it prompts and tools) barely changes whether a task gets solved, but it changes the cost a lot. The UC Berkeley-led team found that re-reading the whole conversation on every step dominates the bill, and that agents later use only 27% of the tool output they pull in. They built Agency, a layer that slots under existing harnesses to trim stale context, compact tool output, batch tool calls and speed up file searches.

Key finding: Across Claude Code, Codex and a basic harness, the combined tricks cut costs to 0.77 of the baseline on average (up to 35% savings) while keeping 97% of the original accuracy.

Why practitioners should care: If your agents run long sessions, most of the bill is the model re-reading old context, so clearing stale tool output and organizing files so they are easy to find can save real money without changing models. Savings were smaller on coding tasks than on document tasks, and the smallest model, GPT-6 Luna, lost some accuracy on document tasks.

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