E2B Dev Launches with $11.5M Funding
E2B Dev has released version 1.0 of its software development kit (SDK) and finished a $11.5 million funding round. This company is working on tools for understanding AI code and runs millions of test environments every month. For more details, check out the tweet.
Nvidia’s Llama-3.1-Nemotron-70B Model Beats Others
Nvidia’s Llama-3.1-Nemotron-70B model has outperformed GPT-4o and Sonnet 3.5 in tests. This model was made using special methods to improve its performance, as noted in the tweet.
Ministral Models Outperform LLaMA:
Guillaume Lample announced two new models, Ministral 3B and 8B, which perform better than LLaMA 3 8B and the older Mistral 7B in instruction-following tasks. More details are in the tweet.
Nvidia’s Nemotron 70B Model Shines Again:
Nvidia’s Nemotron 70B model also beats GPT-4o and Sonnet 3.5 in different benchmarks, scoring 85.0 and 57.6. This model is available on Hugging Face.
Ollama Launches Model Execution on Hugging Face:
Ollama has announced that models can now be run on Hugging Face, promoting collaboration in open source. Details are in the tweet.
Meta Introduces CoTracker3 AI Research:
Meta has launched CoTracker3, a new AI model for tracking points in videos. It uses pseudo-labels from real videos and shows big improvements over older versions. Demos are available on Hugging Face.
Amazon Invests in Small Modular Reactors:
Amazon is teaming up with Dominion Energy and others to invest over $500 million in small modular reactors (SMRs). This will help meet the energy needs of AWS data centers and reduce carbon emissions, as reported by The Washington Post.
New AI Initiative for Economic Growth:
A new project is looking for a leader to manage an initiative aimed at boosting economic growth in developing countries, with a budget of at least $30 million. More details can be found in the tweet.
Synthetic Data Improves Model Training:
Synthetic data is becoming a key way to enhance the performance of large language models (LLMs) and vision language models (VLMs). More information is in the tweet.
AlphaCodium Beats OpenAI in Code Generation:
The new AlphaCodium open-source tool has outperformed OpenAI’s model in generating code, achieving 78% accuracy compared to OpenAI’s 55%. Details can be found in a blog post and research paper.
https://arxiv.org/abs/2401.08500
https://arxiv.org/pdf/2401.08500
Comparison of AI Video Models:
Robert Scoble compared several AI video models, including Gen-3Kling AI 1.5, Hailuo, MiniMax, and Luma Dream Machine, using images edited in Photoshop as inputs. Check the tweet for details.
Meta Introduces CoTracker3 AI Research:
Meta has launched CoTracker3, a new AI model for tracking points in videos. It uses pseudo-labels from real videos and shows big improvements over older versions. Demos are available on Hugging Face.
Adobe Unveils Generative AI Tools:
Adobe has released Generative Workplace, an image generator that works inside Photoshop, improving creative processes. See the tweet for more details.
Concerns About AI Consciousness:
There are discussions about whether AI could ever become as smart as humans. People are worried because there isn’t a clear way to tell if AI is really conscious. More details can be found in the tweet.
AI Forecasters:
A New Trend? New research introduces a system that uses language models to make accurate predictions, which could change how we forecast things like financial markets and political elections. More information is in the tweet.
LangGraph Improves Multi-Agent Support:
LangChainAI has launched better multi-agent support in LangGraph, solving problems that occur when too many instructions and tools are used in one agent. Details can be found in the tweet.
Gladia Raises Funds for AI Audio Infrastructure:
Gladia has raised $16 million in Series A funding to build AI audio infrastructure. This will provide real-time APIs for transcribing, translating, and analyzing audio data in over 100 languages. More details are in the tweet.
https://twitter.com/chiefaioffice/status/1846592947799662891
Release of the Open Weights Model
The Open Weights Model has been released, which is a big step for the AI community. This makes it easier for more people to use these models. You can find more information in the tweet.
Llama-3.1-Nemotron-70B Now on HuggingChat:
The Llama-3.1-Nemotron-70B model is now available on HuggingChat, offering new features for AI applications. Check the tweet for more details.
Elon Musk’s Fast Nvidia GPU Setup:
Elon Musk reportedly set up 100,000 Nvidia H200 GPUs in just 19 days. This would normally take four years to complete. More details can be found in the tweet
HuggingFace & Github:
Mistral AI’s New Models for Local Intelligence
Mistral AI has released two new models: Ministral 3B and Ministral 8B. These models can run on your device without needing the internet all the time. The Ministral 8B model has performed well in tests and can handle different functions. It also has a large vocabulary of 131,000 words, making it ready for important tasks.
https://huggingface.co/mistralai/Ministral-8B-Instruct-2410
Improving Command Following with Zamba2-7B-Instruct
The new Zamba2-7B-Instruct model builds on the previous Zamba2-7B by being fine-tuned on command-following and chat data. It can manage a context of up to 16,000 words, which helps it follow commands well. Plus, it has quick response times and doesn’t use much memory.
https://huggingface.co/Zyphra/Zamba2-7B-Instruct
NVIDIA’s Custom Language Model for Better User Interaction
NVIDIA has introduced the Llama-3.1-Nemotron-70B-Instruct model. This model is aimed at making responses to user questions more practical. It has performed well in various tests and has been trained using Reinforcement Learning from Human Feedback (RLHF). You can use it with the HuggingFace Transformers library, but you’ll need powerful hardware to get the best results for complex AI applications.
Nginx UI: Modern Web Server Management
0xJacky has developed Nginx UI, a new web interface for managing Nginx. It offers real-time statistics about your server and allows you to edit website settings directly. You can also view Nginx logs. Nginx UI is easy to install and can run on macOS and Linux with just one file.
https://github.com/0xJacky/nginx-ui
Reddit Discussion on “Organic” Films
Justin Bateman has suggested that films should be certified as “organic” to show they don’t use artificial intelligence. This idea aims to stop emotional manipulation by AI-created characters. Here are some discussion points:
Emotional Manipulation: Some people believe that movies naturally manipulate feelings, whether through AI or human actors. They think worrying about being tricked by AI is just like being influenced by a regular actor.
Certification Labels: The idea of a certification like “no animals were harmed” could be a new way to promote films, focusing on honesty in filmmaking.
AI’s Impact on Jobs: There are worries that AI might take over jobs in the film industry. Bateman’s idea could help protect the work of actors.
Audience Reactions: Some people doubt that viewers care if characters are AI-generated, as long as the story is interesting enough.
