Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: robotics/AI – Page 780

Google’s new Gemini AI beats GPT-4 in 30 of 32 tests

Tech giant Google has finally unveiled its much-hyped Gemini AI, a series of generative AI models it claims are its “largest and most capable” to date.

“This new era of models represents one of the biggest science and engineering efforts we’ve undertaken as a company,” said Google CEO Sundar Pichai.

Multimodal AI: Generative AIs are algorithms trained to create original content in response to user prompts. OpenAI’s first iteration of ChatGPT, for example, can understand and produce human-like text, while its DALL-E 2 system can generate images based on text prompts.

AI Unveils Mysteries of Unknown Proteins’ Functions

Summary: Researchers developed an innovative AI tool, DeepGO-SE, that excels in predicting the functions of unknown proteins, marking a significant advance in bioinformatics. Leveraging large language models and logical entailment, this tool can deduce molecular functions even for proteins without existing database matches, offering a groundbreaking approach to understanding cellular mechanisms.

Its precision has placed DeepGO-SE among the top algorithms in an international function prediction competition, demonstrating its potential in drug discovery, metabolic pathway analysis, and beyond. The team aims to apply this tool to explore proteins in extreme environments, opening new doors for biotechnological advancements.

Brain Mapping With Novel Rabies Viral Vectors

Summary: Researchers developed 20 novel recombinant rabies viral vectors that present unparalleled advantages for neural circuit mapping in aging and Alzheimer’s disease studies. These vectors are engineered to highlight microstructural changes in brain neurons through enhanced fluorescent proteins, offering insights into neural networks at both micro and macro scales.

The vectors’ unique ability to target specific neuron components and perform live imaging makes them potent tools for dissecting neural circuitry in healthy and diseased states. This innovation opens new pathways for targeted treatment strategies and will be shared with the neuroscience community through UCI’s Center for Neural Circuit Mapping.

The promise of collective superintelligence

In the short term, CSI technology enables an entirely new form of communication in which thoughtful deliberations can be conducted among groups of nearly any size. This has potential to enhance a wide range of fields from enterprise collaboration and market research to large-scale civic engagement.

In the longer term, this approach could enable a new pathway to superintelligence that is inherently aligned with human values, morals and sensibilities. Of course, companies like OpenAI and Anthropic should keep working around the clock to instill their AI models with human values and interests, but others should be pursuing alternative methods that amplify rather than replace human intelligence. One alternative is Collective Superintelligence, which looks far more feasible today than in years past.

Louis Rosenberg is a longtime technologist in the fields of AI and VR. He is known for founding early VR company Immersion in 1993, Unanimous AI in 2014, and for developing the first mixed reality system as a researcher for the U.S. Air Force.

/* */