In September 2024, OpenAI released its o1 model, trained on large-scale reinforcement learning, giving it “advanced reasoning” capabilities. Unfortunately, the details of how they pulled this off were never shared publicly. Today, however, DeepSeek (an AI research lab) has replicated this reasoning behavior and published the full technical details of their approach. In this article, I will discuss the key ideas behind this innovation and describe how they work under the hood.
An earthworm-inspired robot could make undergrounding of power lines cheaper and safer, reducing the risk of future wildfire outbreaks.
Finland is soon to become the first country in the world to attempt the burial of nuclear fuel waste in a geological tomb — where it is planned to be stored for the next 100,000 years.
The plan is to pack the spent nuclear fuel in watertight canisters and deposit them about 1312 feet (400 meters) below ground level in the forest of the southwest region of Finland.
Watch the latest space experiment developed by the Fighting Illini!🚀🤖
Step into the future of space construction! Watch as University of Illinois researchers revolutionize how we build in space using advanced robotics and innovative composite materials. In this episode of Robots In Space, aerospace engineer Mike DiVerde breaks down the groundbreaking DARPA NOM4D program that’s sending experimental manufacturing technology to the International Space Station. Discover how the Fighting Illini are pioneering techniques that could transform space infrastructure construction, making it faster, cheaper, and more efficient than ever before. From Cygnus spacecraft operations to microgravity experiments, this video showcases cutting-edge aerospace engineering that’s pushing the boundaries of what’s possible in space.
#SpaceManufacturing #DARPANOM4D #SpaceRobotics #FightingIllini #AerospaceEngineering
In today’s AI news, ChatGPT just added 100 million users in two months, the fastest cohort adoption in two years, they said. As a result, we have increased our forecast for AI adoption in both consumer and enterprise, they added. OpenAI didn’t respond to a request for comment about what’s been driving this growth spurt. The Barclays analysts studying their growth suggested several reasons, though.
And, tech companies have been betting on virtual assistants for more than a decade, to little avail. But this new generation of AI was going to change things. But, the tech still doesn’t work. Chatbots may be fun to talk to and an occasionally useful replacement for Google, but truly game-changing virtual assistants are nowhere close to ready. And without them, the gadget revolution we were promised has utterly failed to materialize.
Meanwhile, AI company Sesame has released the base model that powers Maya, the impressively realistic voice assistant. The model, which is 1 billion parameters in size (“parameters” referring to individual components of the model), is under an Apache 2.0 license, meaning it can be used commercially with few restrictions. Called CSM-1B, the model generates “RVQ audio codes” from text and audio inputs.
S official forum, after producing approximately 750 to 800 lines of code, the AI assistant halted work and delivered a refusal message: “I cannot generate code for you, as that would be completing your work.” ‘ + In videos, can mislabeled dog paws ruin an AI model? IBM Fellow, Martin Keen explains how ground truth data ensures accurate AI predictions by powering supervised learning and training. Explore challenges like ambiguity and skewed data, and learn strategies to improve data labeling for better AI performance.
And, Harvey CEO Winston Weinberg explains why success in legal AI requires more than just model capabilities—it demands deep process expertise that doesn’t exist online. He shares how Harvey balances rapid product development with earning trust from law firms through hyper-personalized demos and deep industry expertise. He covers Harvey’s approach to product development—expanding specialized capabilities then collapsing them …
In further experimentation, Alex Ziskind compared running DeepSeek locally — various model sizes and quantizations on Apple Silicon M1, M2, M3, M4 Max MacBooks. Alex puts them all to the test and explains all the steps.
We close out with, Eric Simons is the founder and CEO of StackBlitz, the company behind Bolt—the #1 web-based AI coding agent and one of the fastest-growing products in history. After nearly shutting down, StackBlitz launched Bolt on Twitter and exploded from zero to $40 million ARR and 1 million monthly active users in about five months.
Howard Bloom, Dr. Ben Goertzel, and Dr. Mihaela Ulieru examine how principles of emergent intelligence in natural systems can inform artificial general intelligence (AGI) development.
Join us at the Beneficial AGI Summit & Unconference 2025 (May 26–28 in Istanbul) to learn more about these topics and collaborate on addressing the critical challenges of developing beneficial AGI. Register now to watch online or attend in-person: https://bgisummit.io/
/ 22517.global_brain.
https://en.wikipedia.org/wiki/Howard_… • A Cultural Legend Tackles the Benefic… 00:00 Intro 01:20 Howard Bloom’s Online Journey and the Global Brain 04:33 Ben Goertzel’s Perspective on the Global Brain 09:07 The Evolution of Intelligence and AI 12:42 Challenges and Philosophies in AI Development 17:56 Human Values and AI: A Complex Relationship 24:18 The Role of Compassion in AI and Human Evolution 29:31 Tribalism and Ethical Reasoning in AI 30:16 Emergence of AI Values 31:26 Self-Organization and Compassion in AI 32:21 Ethical Theories and AI Attractors 34:33 Future Economy and AI Impact 34:48 AI and Human Economy Transformation 35:44 Cosmic Ambitions and AI 37:15 Competition Among AIs 38:00 Vision of Beneficial AGI 38:20 Path to Human-Level AGI 42:32 Emergence and Cooperation in AI 46:17 Singularity and Human Nature 50:09 Punctuated Equilibrium in AI Development 52:27 Engineering the Future of Intelligence 54:22 Closing Thoughts on AI and the Future #AGI #AI #BGI — SingularityNET was founded by Dr. Ben Goertzel with the mission of creating a decentralized, democratic, inclusive and beneficial Artificial General Intelligence (AGI). According to Dr. Goertzel, AGI should be independent of any central entity, open to anyone and not restricted to the narrow goals of a single corporation or even a single country. The SingularityNET team includes seasoned engineers, scientists, researchers, entrepreneurs, and marketers. The core platform and AI teams are further complemented by specialized teams devoted to application areas such as finance, robotics, biomedical AI, media, arts and entertainment. Website: https://singularitynet.io X: https://twitter.com/SingularityNET Linkedin:
/ singularitynet Instagram:
/ singularitynet.io Discord:
/ discord Telegram: https://t.me/singularitynet WhatsApp: https://whatsapp.com/channel/0029VaM8… Warpcast: https://warpcast.com/singularitynet Bluesky: https://bsky.app/profile/singularityn… Github: https://github.com/singnet.
• A Cultural Legend Tackles the Benefic…
00:00 Intro.
01:20 Howard Bloom’s Online Journey and the Global Brain.
04:33 Ben Goertzel’s Perspective on the Global Brain.
09:07 The Evolution of Intelligence and AI
12:42 Challenges and Philosophies in AI Development.
17:56 Human Values and AI: A Complex Relationship.
24:18 The Role of Compassion in AI and Human Evolution.
29:31 Tribalism and Ethical Reasoning in AI
30:16 Emergence of AI Values.
31:26 Self-Organization and Compassion in AI
32:21 Ethical Theories and AI Attractors.
34:33 Future Economy and AI Impact.
34:48 AI and Human Economy Transformation.
35:44 Cosmic Ambitions and AI
37:15 Competition Among AIs.
38:00 Vision of Beneficial AGI
38:20 Path to Human-Level AGI
42:32 Emergence and Cooperation in AI
46:17 Singularity and Human Nature.
50:09 Punctuated Equilibrium in AI Development.
52:27 Engineering the Future of Intelligence.
54:22 Closing Thoughts on AI and the Future.
#AGI #AI #BGI
SingularityNET was founded by Dr. Ben Goertzel with the mission of creating a decentralized, democratic, inclusive and beneficial Artificial General Intelligence (AGI). According to Dr. Goertzel, AGI should be independent of any central entity, open to anyone and not restricted to the narrow goals of a single corporation or even a single country. The SingularityNET team includes seasoned engineers, scientists, researchers, entrepreneurs, and marketers. The core platform and AI teams are further complemented by specialized teams devoted to application areas such as finance, robotics, biomedical AI, media, arts and entertainment.
A technology developed by the Brazilian company brain4care has been shown to be able to measure absolute values of intracranial pressure (ICP) more accurately than existing non-invasive methods. This is the result of a study published in the journal npj Digital Medicine by researchers from the University of São Paulo in Brazil, the University of Cambridge in the United Kingdom, Emory University in the United States, and the company itself.
“The study included the largest number of patients and showed that the technology we developed had the lowest error in estimating the value of intracranial pressure among all the non-invasive methods already available in the world,” Gustavo Frigieri, scientific director of brain4care and one of the authors of the study, told Agência FAPESP.
The technology developed by the Brazilian company consists of a sensor placed on the patient’s head that registers the nanometric expansions of the skull in each cardiac cycle and generates, in real time, a wave that indicates the variations in volume and intracranial pressure. The data obtained are processed by an artificial intelligence platform that generates reports to help doctors make decisions.
Biotech incubator Flagship Pioneering has uncorked its latest company. Lila Sciences is looking to use $200 million in seed funding to develop new advanced artificial intelligence that can power fully autonomous research labs, according to a March 10 press release.
In addition to Flagship, the financing comes from General Catalyst, March Capital, the ARK Venture Fund, Altitude Life Science Ventures, Blue Horizon Advisors, the State of Michigan Retirement System, Modi Ventures and a wholly owned subsidiary of the Abu Dhabi Investment Authority, according to the release.
A hospital that wants to use a cloud computing service to perform artificial intelligence data analysis on sensitive patient records needs a guarantee those data will remain private during computation. Homomorphic encryption is a special type of security scheme that can provide this assurance.
The technique encrypts data in a way that anyone can perform computations without decrypting the data, preventing others from learning anything about underlying patient records. However, there are only a few ways to achieve homomorphic encryption, and they are so computationally intensive that it is often infeasible to deploy them in the real world.
MIT researchers have developed a new theoretical approach to building homomorphic encryption schemes that is simple and relies on computationally lightweight cryptographic tools. Their technique combines two tools so they become more powerful than either would be on its own. The researchers leverage this to construct a “somewhat homomorphic” encryption scheme—that is, it enables users to perform a limited number of operations on encrypted data without decrypting it, as opposed to fully homomorphic encryption that can allow more complex computations.
Many companies invest heavily in hiring talent to create the high-performance library code that underpins modern artificial intelligence systems. NVIDIA, for instance, developed some of the most advanced high-performance computing (HPC) libraries, creating a competitive moat that has proven difficult for others to breach.
But what if a couple of students, within a few months, could compete with state-of-the-art HPC libraries with a few hundred lines of code, instead of tens or hundreds of thousands?
That’s what researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have shown with a new programming language called Exo 2.
