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Maya AI's Sat Ramphal, Multilingual AI, Autonomous Orbital Pursuit, and MidJourney V5 Hacks
AI Bytes: Volume CI, Issue #17
Get smarter faster with AI Bytes: 3 articles, 2 podcasts, and 1 video.
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READING
III. Sat Ramphal CEO & Co-founder of Maya AI
Maya AI is a data robot that analyzes data, extracts insights, and improves decision-making processes. Co-founder and CEO Sat Ramphal discusses the challenges of building an AI system, the importance of ethics and responsibility, and the lessons he's learned as an entrepreneur. He emphasizes the value of having a purpose and vision, building an amazing team, and being prepared for the ups and downs of entrepreneurship. Sat also offers practical advice for staying focused and productive, such as using the Pareto rule for time management and hiring experts when needed.
II. European AI start-ups race to improve chatbots’ language skills
European start-ups are working to improve the quality of responses in languages other than English for AI chatbots. Helsinki-based Silo AI is launching an initiative to build new large language models in European languages such as Swedish, Icelandic, Norwegian, and Danish. The initiative, called SiloGen, will assemble a team of experienced AI academics from across Europe to build, train, and operate Scandinavian-language models on the continent's most powerful supercomputer. The models will be open-source, in contrast to the closed models of OpenAI and Google, which may be reluctant to share confidential or proprietary data. Other European efforts include OpenGPT-X and LEAM, both German-led initiatives to develop open-source language models.
I. True Anomaly wants to train space warfighters with spy satellites
True Anomaly, a Colorado-based startup founded by ex-Space Force members, has raised $30 million to send intelligence-gathering pursuit satellites to orbit this year. The company aims to supply the Pentagon with defensive tech to protect American assets in space and to conduct recon on enemy spacecraft. True Anomaly has developed a technology stack that includes training software and “autonomous orbital pursuit vehicles” that will be able to collect video and other data on objects in space. The company plans to launch two Jackals aboard the SpaceX Transporter-9 mission later this year to prove their capabilities.
LISTENING
II. The Future is Small Models, with Matei Zaharia, CTO of Databricks
Databricks has launched Dolly, an open-source AI model that requires less computing power and fewer data parameters than its counterparts. Matei Zaharia, Cofounder & Chief Technologist at Databricks, discusses the potential move toward smaller but capable AIs, the decreasing need for manual annotation to train some models, and the evolution of his company from a Spark project to critical data infrastructure moving into AI.
This podcast discusses the timeline for achieving artificial general intelligence (AGI), which is expected to be a multi-year window. AGI is predicted to help humans see the world more correctly and make us more enlightened. However, to remain competitive in solving the world's hardest problems, humans may need to merge with AI. The best case scenario for AGI is that it provides a base safety net that allows people to live freely and learn from their mistakes, while the worst case scenario is that the government lets AGI decide how society should be run. The podcast also provides updates and insights on technological progress in areas such as Next-Token Prediction, Reinforcement Learning, and Alignment.
WATCHING
I. 100 AI Art Tricks That 99% Don't Know
Building a better world with Artificial Intelligence. Get smarter faster with AI Bytes. Each issue features 3 articles, 2 podcasts, and 1 video delivered to your inbox once a week.
AI Tool Tracker
I’m sharing a Notion page with the various AI tools I’ve been trying out. You can access it here.