OpenAI's newest model (8 minute read)
OpenAI has released its next model, which was trained to think before it answers. The new model was trained with reasoning traces and spends time considering before it answers. In some domains, this has led to super human performance. The model will be rate limited to 30 or so queries per user per week, but OpenAI hopes to lift that restriction soon.
|
Google is now rolling out Gemini Live to free users on Android (2 minute read)
Google is rolling out Gemini Live, its conversational AI feature, to free Android users after a month of advanced user access. Users can interrupt responses with new information and receive text transcripts of their interactions. Although Gemini Live doesn't support extensions like Gmail yet, it offers ten new voice options, and more features are promised soon.
|
|
HTML to Markdown (12 minute read)
Jina has released two new state-of-the-art models that take noisy HTML and parse it into clean and usable Markdown for training and reasoning.
|
|
Image-to-3D Generation (GitHub Repo)
Hi3D is a new model that improves the generation of multi-view consistent, high-resolution 3D images from a single input. It uses a video diffusion approach to tackle the lack of 3D awareness in traditional 2D methods, leveraging temporal consistency from video models to enhance geometry across views.
|
|
1-Click fine-tuning of Llama 405B (11 minute read)
Axolotal AI has partnered with Lambda Labs to show how to use its one click cluster to fine-tune the Llama 3.1 405B model. This requires 64 GPUs, but can be done with minimal infra setup due to new tools.
|
Will the "AI Scientist" Bring Anything to Science? (9 minute read)
Researchers have developed an AI tool that automates scientific processes, performing tasks from hypothesis generation to experiment execution and paper writing. Its accuracy and coherence still need improvement. Critics highlight that, while AI can handle simulations in fields like quantum computing and materials science, it risks narrowing research questions and producing less meaningful knowledge. Proponents believe this AI could optimize early research stages, potentially aiding scientists in conceptualizing and scoping research projects.
|
|
Love TLDR? Tell your friends and get rewards!
|
Share your referral link below with friends to get free TLDR swag!
|
|
Track your referrals here.
|
Want to advertise in TLDR? 📰
|
If your company is interested in reaching an audience of AI professionals and decision makers, you may want to advertise with us.
If you have any comments or feedback, just respond to this email!
Thanks for reading,
Andrew Tan & Andrew Carr
|
|
|
|