TLDRocket
Sign in

Open Source Models

211 summarised stories about Open Source Models, each linking back to the original source. Browse all topics →

+ Follow this topic

Thursday, 8 October 2026

ttok 0.4

Simon Willison’s Weblog 1 week ago 48 ● 2 sources

ttok 0.4 updated the CLI token-counting tool, fixing a Click warning and modernizing CI while adding a --list-models command using OpenAI’s tiktoken library. The release adds a --list-models option to show available models. As a result, the tool is easier to run via uvx and can display model names instead of only counting tokens.

Porch

Product Hunt 1 week ago 32

Porch launched a tool that turns Claude Code and Codex sessions into project-based daily, weekly, and monthly Markdown summaries. It publishes those summaries for your work without needing a Porch account, and it tracks tokens and API-equivalent costs. As a result, you can review session status across terminals/editors, identify which tasks need attention, and save summaries to Obsidian or any folder.

Ben Affleck is an AI nerd, and the internet is impressed

TechCrunch 1 week ago 21 ● 2 sources

Ben Affleck went viral after describing his knowledge of AI and its uses in filmmaking, including neural networks and training concepts from recent interview clips. The article says he sold his AI filmmaking startup to Netflix for a reported $587 million earlier this year. As a result, attention shifts to his machine-learning approach to post-production and dataset creation, and the focus turns to responsible, “additive” AI rather than AI replacing film work.

Earnote

Product Hunt 1 week ago 32 ● 2 sources

Earnote launched as an AI notetaking app that transcribes lectures and other speech and turns it into structured notes with tasks, flashcards, and a PDF study sheet. It uses Whisper and writes the notes on-device on iPhone 15 Pro and later. The launch adds a free, open-source workflow on iPhone/iPad/Mac with no account, ads, or subscription (with an optional one-time Pro upgrade).

Perplexity AI Releases pplx-embed-v2-late: A 0.6B Edge Model and a 9B Model Scoring 92.4% on MADQA

MarkTechPost 1 week ago 17

Perplexity released pplx-embed-v2-late, a pair of ColBERT-style multimodal embedding models that retrieve text, images, and rendered PDF pages from a shared embedding space. The 9B model scored 92.4% on MADQA, while a 0.6B query model can search a 9B index to recover about half the quality gap at the 0.6B query cost. The update changes deployment by making both models available on Hugging Face under the MIT license for self-hosting, with a hosted API planned but not yet live.

The daily briefing

Every AI story that matters, in your inbox by 8am.

TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.