This paper introduces an adaptive multi-agent framework to enhance collaborative reasoning in large language models (LLMs). The authors address the challenge of effectively scaling collaboration and reasoning in multi-agent systems (MAS), which is an open question despite recent advances in test-time scaling (TTS) for single-agent performance.
The core methodology revolves around three key contributions:
1. **Dataset Construction:** The authors create a high-quality dataset, M500, comprising 500 multi-agent collaborative reasoning traces. This dataset is generated automatically using an open-source MAS framework (AgentVerse) and a strong reasoning model (DeepSeek-R1). To ensure quality, questions are selected based on difficulty, diversity, and interdisciplinarity. The generation process involves multiple agents with different roles collaborating to solve challenging problems. Data filtering steps are applied to ensure consensus among agents, adherence to specified formats (e.g., using tags like “ and ‘boxed{}‘), and correctness of the final answer. The filtering criteria are based on Consensus Reached, Format Compliance, and Correctness. The data generation is described in Algorithm 1 in the Appendix.
As of October 2024, 3,000 patients had used Piction’s clinic. So far, it is available in Connecticut, Florida, Massachusetts, New Hampshire and Washington. The service is covered by several major insurance companies, or patients can pay $119 out-of-pocket for each consultation.
Eleni Linos, a professor of dermatology and epidemiology who directs the Stanford Center for Digital Health, and who has no connection with Piction, says: “I’m really optimistic about how this technology can help patients get the best care they can get, while at the same time helping doctors.” — Esther Landhuis.
The development of increasingly sophisticated sensors can facilitate the advancement of various technologies, including robots, security systems, virtual reality (VR) equipment and sophisticated prosthetics. Multimodal tactile sensors, which can pick up different types of touch-related information (e.g., pressure, texture and type of material), are among the most promising for applications that can benefit from the artificial replication of the human sense of touch.
This episode is sponsored by Indeed. Stop struggling to get your job post seen on other job sites. Indeed’s Sponsored Jobs help you stand out and hire fast. With Sponsored Jobs your post jumps to the top of the page for your relevant candidates, so you can reach the people you want faster.
In this episode, renowned AI researcher Pedro Domingos, author of The Master Algorithm, takes us deep into the world of Connectionism—the AI tribe behind neural networks and the deep learning revolution.
From the birth of neural networks in the 1940s to the explosive rise of transformers and ChatGPT, Pedro unpacks the history, breakthroughs, and limitations of connectionist AI. Along the way, he explores how supervised learning continues to quietly power today’s most impressive AI systems—and why reinforcement learning and unsupervised learning are still lagging behind.
We also dive into: The tribal war between Connectionists and Symbolists. The surprising origins of Backpropagation. How transformers redefined machine translation. Why GANs and generative models exploded (and then faded) The myth of modern reinforcement learning (DeepSeek, RLHF, etc.) The danger of AI research narrowing too soon around one dominant approach.
Whether you’re an AI enthusiast, a machine learning practitioner, or just curious about where intelligence is headed, this episode offers a rare deep dive into the ideological foundations of AI—and what’s coming next.
Here’s Dennis Wilson of DBC Technologies sharing the many different use cases for AI voice agents.
He also shares how AI can retain the expertise and tribal knowledge that lives in your most capable people.
If your organization needs AI Agents for sales, service, orders, surveys or product information contact me.
I look forward helping you get started!
In this episode of the (A)bsolutely (I)ncredible podcast, Bruce Burke sits down with Dennis Wilson, Founder and CEO of DBC Technologies. Dennis is a graduate of the British Columbia Institute of Technology, and attended the University of British Columbia. DBC provides AI Voice Agents for small to medium enterprise businesses. Dennis is deeply involved in Jim Roddy’s Retail Solution Providers Association (RSPA), and is a featured speaker at their events. Dennis teaches and demonstrates the benefits of AI to these providers of solutions for retailers. Dennis is a passionate marketer, who has developed a platform that utilizes the best the AI industry offers. DBC stands for Doing Business Creatively, which defines Dennis’ approach with his customers. With over 25 + years of software, marketing, CRM, and sales automation experience, they have been integrating Artificial Intelligence capabilities into their internal software stack, and into their client’s businesses since the launch of ChatGPT. Experience DBC’s Inbound AI Voice Agents For Yourself Dial any of the numbers below to interact with DBC’s AI Agents. Ask questions, and dig deep to understand the complexities of these Agentic AI personalities from DBC. * Inbound AI Voice Agent | Claire Fox: 1−888−887−9862 * Outbound AI Voice Agent | Susan Brown: 1−888−988−1783 * Cannabis Dispensary Agent | May Bud: 1−888−628−7858 DBC helps enterprise companies equipment manufacturers, payments providers, cannabis dispensaries, POS equipment manufacturers, and software companies, break free of legacy automated attendant technologies that frustrate customers, decrease customer satisfaction, and waste money. Their services can relieve cost of staffing for tier one, and tier two technical support teams, and the associated employee churn. Dennis and company can automate your customer service center with AI voice agents, and turn it into a profit center with AI’s advanced abilities to resolve problems and then suggestively upsell new products and services, monetizing customer service calls. DBC Technologies helps retailers enhance their marketing with automated marketing solutions using an AI+Human approach. At any time, customers can be connected with a live person to help resolve issues that may need a human touch. Dennis also created an AI-powered Social Media, E-mail, and Text, marketing engine that can work along with your AI Agents to further amplify and promote your brand. Dennis and company enable independent restaurants to compete with the big money chains by implementing AI marketing and automation solutions to grow both dine-in and take out sales — without losing 30% of the order to 3rd party delivery apps. DBC is a leader in Enterprise level AI Voice Agent and ChatBot technology with both being capable of taking orders in the restaurant and cannabis industries. Your inbound calls are answered by AI Agents trained for taking customer orders at an improved level of efficiency compared with similarly human-staffed positions. DBC Technologies Specialties: * AI Automated Voice Agents * AI RAG Bots (Advanced Website Chatbots) * AI Written with Human Edited Marketing * Retail Sales Growth Consulting Services * Bespoke Software Development Services For more information about DBC Technologies Agentic AI and how to get started contact Bruce Burke directly, directly using the links provided. Thank you!
Q: 🤖 What are Kirk’s predictions for Tesla’s robotaxi rollout? A: Kirk predicts at least 1 million robotaxis on the road by end of 2026, with potential for 2–5 million by end of 2027.
Q: 🦾 When does Kirk expect Tesla to sell Optimus robots to third parties? A: Kirk expects Optimus sales to third parties in the second half of 2026.
Q: 💰 What is the estimated rental price for Optimus robots? A: Kirk estimates Tesla will rent Optimus robots for $110,000-$120,000 per year.
Market and Economic Predictions.
Q: 💹 What economic environment does Kirk predict for late 2024? A: Kirk predicts a booming economic environment by Q4 2024, driven by the AI revolution and productivity increases.
Windsurf, the maker of a popular AI coding assistant, is in talks to be acquired by OpenAI for about $3 billion, Bloomberg reported.
If the deal happens, it would put OpenAI in direct competition with a number of other AI coding assistant providers, including Anysphere, the maker of Cursor, which OpenAI backed from its OpenAI Startup Fund.
The acquisition could jeopardize the credibility of the OpenAI Startup Fund, given that it is one of Cursor’s biggest investors, said a person familiar with Cursor’s cap table. It’s not clear whether OpenAI approached Cursor about an acquisition.
