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46 | 46 | - [fixed with reason](https://twitter.com/E0M/status/1760476148763644166)
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47 | 47 | - [due to lazy/extensive prompt?](https://twitter.com/dylan522p/status/1755086111397863777)
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48 | 48 | - Misc
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| 49 | + - [OpenAI Forum](https://twitter.com/officiallogank/status/1758520604754333867?s=12&t=90xQ8sGy63D2OtiaoGJuww) - a place to discuss, learn, and shape AI. The forum features online and in-person events along with paid activities that directly impact OpenAI models. |
49 | 50 | - misc: [OpenAI Feather](https://www.semafor.com/article/01/27/2023/openai-has-hired-an-army-of-contractors-to-make-basic-coding-obsolete) - probably just inhouse scale ai [per patent](https://x.com/ugo_alves/status/1761857718812315838?s=46&t=90xQ8sGy63D2OtiaoGJuww)
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50 | 51 | - shut down [State-affiliated Threat Actors](https://openai.com/blog/disrupting-malicious-uses-of-ai-by-state-affiliated-threat-actors)
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51 | 52 | - [Logan on Lenny's pod](https://www.lennyspodcast.com/inside-openai-logan-kilpatrick-head-of-developer-relations/)
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71 | 72 | - **Gemini 1.5 Pro comes with a standard 128,000 token context window. But starting today, a limited group of developers and enterprise customers can try it with a context window of up to 1 million tokens via [AI Studio](https://aistudio.google.com/) and [Vertex AI](https://cloud.google.com/vertex-ai) in private preview.**
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72 | 73 | - Through a series of machine learning innovations, we’ve increased 1.5 Pro’s context window capacity far beyond the original 32,000 tokens for Gemini 1.0. We can now run up to 1 million tokens in production.
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73 | 74 | - when tested on long code prompts, [HVM author agrees gemini retrieval is better than GPT4](https://old.reddit.com/r/singularity/comments/1atjz9v/ive_put_a_complex_codebase_into_a_single/)
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| 75 | + - very good audio and video recall: https://twitter.com/mattshumer_/status/1758526890174751160?s=12&t=90xQ8sGy63D2OtiaoGJuww |
74 | 76 | - Sparse MoE multimodal model - Can handle 3 hours of video, 22 hours of audio or 10M tokens with almost perfect recall! - Better than Gemini 1 Pro, better than Ultra for text, worse for audio and vision - Sadly not much info regarding model size, # of experts, architecture explorations, etc
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75 | 77 | - useful for [scanning codebase and implementing fixes for](https://x.com/sullyomarr/status/1760066335898513655?s=46&t=90xQ8sGy63D2OtiaoGJuww) and
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76 | 78 | - [Gemini rollout in Google Workspace (Gmail, docs, sheets)](https://blog.google/products/google-one/google-one-gemini-ai-gmail-docs-sheets/)
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158 | 160 | - Google OSS: [Magika: AI powered fast and efficient file type identification](https://opensource.googleblog.com/2024/02/magika-ai-powered-fast-and-efficient-file-type-identification.html)
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159 | 161 | - Internally, Magika is used at scale to help improve Google users’ safety by routing Gmail, Drive, and Safe Browsing files to the proper security and content policy scanners. Looking at a weekly average of hundreds of billions of files reveals that Magika improves file type identification accuracy by 50% compared to our previous system that relied on handcrafted rules. In particular, this increase in accuracy allows us to scan 11% more files with our specialized malicious AI document scanners and reduce the number of unidentified files to 3%.
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160 | 162 | - I ran this on some web crawl data I have locally, so: all files you'd find on regular websites; HTML, CSS, JavaScript, fonts etc. It identified some simple HTML files (html, head, title, body, p tags and not much else) as "MS Visual Basic source (VBA)", "ASP source (code)", and "Generic text document" where the `file` utility correctly identified all such examples as "HTML document text". [HN](https://news.ycombinator.com/item?id=39391688)
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| 163 | +- [NotesGPT](https://github.com/Nutlope/notesGPT): generate action items from your notes in seconds. Powered by Convex, Together.ai, and Whisper. |
| 164 | + - Convex for the database and cloud functions |
| 165 | + - Next.js App Router for the framework |
| 166 | + - Together Inference for the LLM (Mixtral) |
| 167 | + - Together Embeddings for the embeddings for search |
| 168 | + - Convex File Storage for storing voice notes |
| 169 | + - Convex Vector search for vector search |
| 170 | + - Replicate for Whisper transcriptions |
| 171 | + - Clerk for user authentication |
| 172 | + - Tailwind CSS for styling |
161 | 173 |
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162 | 174 | ## product launches
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163 | 175 |
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