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Recently, the Arc Institute partnered with NVIDIA, along with researchers from Stanford University, the University of California, Berkeley, and the University of California, San Francisco, to jointly release the world's largest biological artificial intelligence model — Evo2. This model is based on data from over 128,000 genomes, training on 93 trillion nucleotides, making its scale comparable to the most powerful generative AI language models. Evo2's deep learning capabilities enable it to rapidly identify sequences of genes across different organisms.

Recently, Google removed content from its official website that previously committed to not developing artificial intelligence (AI) for weapons or surveillance, sparking widespread discussion and concern. According to a Bloomberg report, this change occurred when Google updated its public AI principles page, and the section that explicitly mentioned 'applications we will not pursue' was completely deleted, which came as a surprise. Image Source Note: The image is AI-generated, and when asked for comments on this change, Google referred to the technology.

AlphaFold 3, a significant breakthrough at the intersection of biological sciences and computer science, was released by Google's DeepMind. However, the lack of code or model weights led to a wave of reproduction efforts within the scientific community. The startup Ligo became the first team to successfully reproduce AlphaFold 3, with its three founders being undergraduate students from Oxford University, achieving this feat in just four months and showcasing scientific potential. This achievement is seen as a milestone in the field of biological sciences, especially with great potential in protein structure prediction. However, DeepMind...

Anduril, founded by Palmer Luckey, has recently secured $1.5 billion in investment and plans to establish a smart factory for the production of autonomous weapons and advanced battlefield technologies, aiming for an annual output of tens of thousands of units. The company aims to create a highly efficient manufacturing platform similar to Tesla's, optimizing weapon system design and operation through AI technology to enhance combat efficiency and reshape military strategy. Anduril's rise has garnered significant attention in the defense technology sector, signaling a revolutionary change in the integration of technology and military.

Recently, a study published in the journal "Cell Metabolism" revealed that researchers, using thermal imaging cameras and artificial intelligence technology, can detect various chronic diseases and assess an individual's physiological age by analyzing facial temperature. This innovative method offers new possibilities for early disease diagnosis and health monitoring.- The temperature of different areas on the face is associated with various chronic diseases, such as diabetes and hypertension.-

Imagine the big news it would be if the bigwigs of the AI world, OpenAI, and Los Alamos National Laboratory (LANL) were to join forces! Indeed, they have come together, ready to make some major moves in the field of biological sciences.Image Source Note: The image is generated by AI, provided by the image licensing service Midjourney In simple terms, the purpose of this collaboration is to make AI safer and cooler in the lab to help scientists. They aim to study how advanced AI models, like GPT-

The artificial intelligence research lab EvolutionaryScale, founded by a former Meta engineer, recently launched ESM3, a biological design tool with native multimodality and generative language modeling.

The report indicates that the rapid development of artificial intelligence may pose a threat of extinction to humanity. It suggests implementing temporary AI safety measures and strengthening controls on chip manufacturing and exports. Governments should take action to ensure that AI development does not jeopardize global security. The report states that the risks of AI are similar to those of nuclear weapons, bringing instability to global security.

Evo is a genomic foundation model capable of multi-modal and multi-scale learning. Evo can generate genomic-scale DNA sequences. Evo goes beyond single molecules and short sequences, allowing for the design of synthetic multi-component biological systems. Evo can predict essential genes in bacteria or phages at the whole genome scale.

OpenAI has recently initiated the development of an early warning system for GPT-4 to explore whether large language models can improve the efficiency of obtaining information about biological threats compared to the internet. The system is intended to serve as a 'trigger' to indicate potential biological weapons. A study involving 100 participants suggests that using GPT-4 in combination with the internet offers slight improvements in the accuracy and completeness of biological hazard tasks, though the results are not significant. The evaluation focused solely on information retrieval rather than actual applications and did not examine GPT-4's role in the development of new biological weapons.

The latest version of AlphaFold can predict the structures of proteins, nucleic acids, and molecules containing PTM, achieving high-accuracy atomic-level predictions for ligands, proteins, and nucleic acids. It significantly surpasses earlier versions in antibody-binding-related issues and is capable of predicting protein-ligand structures more quickly and accurately, aiding in the understanding of complex biological mechanisms and accelerating medical applications.

🔍 Language model-powered chatbots may have the potential to assist in planning biological weapon attacks📊 Reports indicate that chatbots provide plans and guidance for executing biological attacks but do not provide explicit biological instructions🔒 The report warns of biological weapons threats and calls for AI companies to restrict chatbot openness on sensitive topics.

1. Duet AI fully integrates into Workspace, automatically generating documents and PPTs, taking notes in Meet, and serving as a 'virtual representative' in meetings. 2. The Duet AI suite strongly enters Google Cloud, significantly enhancing development and operational efficiency. 3. Vertex AI further improves by adding many foundational models and deepening cooperation with Nvidia.