@PratapRanade
's argument is that humans didn't evolve to intuit EM fields, but machines can be taught to. His company, @arenaphysica
, is building an EM foundation model (like an LLM but for physics instead of language) that learns the relationship between shapes and fields
AI
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Arena Physica Builds EM Foundation Model for Physics
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IndiaAI Challenge: AI Tools for Renewable Energy Land Assessment
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The IndiaAI Innovation Challenge for Transforming Governance is calling innovators to design AI tools that can evaluate land parcels for renewable energy potential, grid connectivity, and environmental risks—making energy planning faster, smarter, and more sustainable in Andhra
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GPT-5.3 Codex Spark: OpenAI’s Faster AI Code Generation
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@jxnlco from @OpenAI answers your most asked questions about gpt-5.3-codex-spark — powered by Cerebras Inference. – What is Cerebras and how does it make Spark 15x faster? – What does OpenAI use Codex for internally? – When should you use Codex vs. Codex Spark?
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AI Startup Arena Physica Aims to Master RF Electromagnetic Engineering
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The future is electromagnetic. One challenge is that there are ~ten people in the world who can deeply intuit electromagnetism. RF engineering is "black magic." Arena Physica thinks machines can intuit EM better. CEO Pratap Ranade & I on AI for EM:
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AI Agent Uses Tufte Principles to Iteratively Improve Data Visualizations
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Many AI agent demos show you the output. This one shows the process.
— Randy Olson (@randal_olson) 24 mars 2026
I built a quality standard encoding Tufte's data visualization principles as an API, pointed @ManusAI at a dataset, and told it to keep improving until it passed.
Here's the full session.
Two prompts. First:… pic.twitter.com/PRSyaN33S9Many AI agent demos show you the output. This one shows the process. I built a quality standard encoding Tufte's data visualization principles as an API, pointed @ManusAI at a dataset, and told it to keep improving until it passed. Here's the full session. Two prompts. First:
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Sakana AI Develops Doc-to-LoRA for LLMs Without Additional Training
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An article featuring an interview with Sakana AI's Rujikorn Charakorn and Robert Lange, who led the development of the new technology "Doc-to-LoRA" that enables LLMs to reflect document content without additional training, has been published in Nikkei Cross Tech @nikkeibpITpro
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Responsible AI Scaling: Kunal Walia on Sustainability
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#AIImpactSummitInsights | At the #IndiaAIImpactSummit2026, Kunal Walia, Partner at Dalberg Advisors, brought a crucial perspective to the global AI conversation:
— IndiaAI (@OfficialINDIAai) 24 mars 2026
As AI scales, the question is no longer just how fast, but how responsibly and sustainably.
From launching a… pic.twitter.com/EipAgNgbmi#AIImpactSummitInsights | At the #IndiaAIImpactSummit2026, Kunal Walia, Partner at Dalberg Advisors, brought a crucial perspective to the global AI conversation: As AI scales, the question is no longer just how fast, but how responsibly and sustainably. From launching a
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AI Training Shifting from Real Data to Synthetic Sources
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Jensen: AI training is shifting from real-world data to synthetic. Most information we share is already created, not natural. As AI enhances this synthetic data, training will soon be limited by compute power, not data availability. pic.twitter.com/cXgs2kp4pt
— Chubby♨️ (@kimmonismus) 24 mars 2026Jensen: AI training is shifting from real-world data to synthetic. Most information we share is already created, not natural. As AI enhances this synthetic data, training will soon be limited by compute power, not data availability.
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MQTT Replaces Polling in Industrial IoT Networks
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Poll-response protocols were designed for multi-drop phone lines decades ago. Factories still run them over TCP/IP networks. MQTT replaces polling with report-by-exception. Your systems only talk when they have something to say. @CirrusLink @iiot_world pic.twitter.com/jVhd1wY00H
— Lucian Fogoros (@fogoros) 24 mars 2026Poll-response protocols were designed for multi-drop phone lines decades ago. Factories still run them over TCP/IP networks. MQTT replaces polling with report-by-exception. Your systems only talk when they have something to say. @CirrusLink @iiot_world
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Google DeepMind and Agile Robots Partner for Advanced Robots
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Google DeepMind 🤝 Agile Robots Our new research partnership will integrate the Gemini foundation models with their hardware to help build the next generation of more helpful and useful robots. Find out more → goo.gle/4lKu7de [Translated from EN to English]