“We don’t care about professional coders anymore,” Masad said.
“Yet it has grown its revenue five-fold over the past six months, Masad said, thanks to a breakthrough in artificial-intelligence capabilities that enabled a new product called ” Agent,” a tool that can write a working software application with nothing but a natural language prompt.
Amjad Masad talks about their new AI developments that will allow anyone to code naturally.
The age of agentic AI has arrived. Spanning the virtual and physical realms, we stand at a pivotal moment where human ingenuity will be amplified by intelligent machines. This convergence of agentic AI, intelligent software agents capable of independent learning. actions and tasks, with physical AI, encompassing robots and machines interacting with the physical world, is poised to fundamentally reshape the global economic landscape.
We are entering a new era where individuals and businesses will interact with and manage a network of AI agents.
[](https://youtu.be/SWXgWLv4ndw)Subscribe!
0:00 Bryan Johnson is Anime Villain Orochimaru.
1:54 The Impact of Mormonism.
2:54 The Mission Trip that Changed Everything.
3:45 Training Arc — To Make Millions.
4:08 Falling Apart.
6:34 Slowly Picking Himself Back Up — $300 Million.
7:33 Finding Freedom in Warehouse Party in Brooklyn.
8:51 Finding His New Goal.
9:25 The Blueprint Protocol.
11:36 The True Goal — Super Intelligence.
12:57 Aligning Humanity with ASI
13:38 Building a new religion and becoming God.
15:23 Letting AI Control Our Decisions.
17:00 The First IRL Anime Villain.
18:30 Overall Thoughts.
Credits:
“Aurea Carmina” Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 4.0 License.
http://creativecommons.org/licenses/by/4.0/
“Achilles” Kevin MacLeod (incompetech.com)
Anduril, a technology start-up that designs autonomous systems and weapons for government agencies and the military, plans to build a $1 billion factory in Columbus, Ohio, the company said on Thursday.
It said the factory, called Arsenal-1 and described as a “hyperscale” plant, would bring more than 4,000 job to Ohio and eventually produce tens of thousands of autonomous systems and weapons each year.
“We will be creating with our partners in Ohio something that does not currently exist” at such a scale, Anduril’s chief strategy officer, Chris Brose, said in a briefing with reporters. The company has worked closely with state officials on the project and has secured tax breaks to locate it in Columbus.
In today’s AI news, François Chollet, an influential AI researcher, is launching a new startup that aims to build frontier AI systems with novel designs. The startup, Ndea, will consist of an AI research and science lab. It’s looking to “develop and operationalize” AGI. It’s a goalpost for many AI companies …
In other advancements, San Francisco-based Luma released Ray2, its newest video AI generation model, available now through its Dream Machine website and mobile apps for paying subscribers (to start). The model offers “fast, natural coherent motion and physics,” according to CEO Amit Jain.
And, Microsoft has been positioning Copilot as the “UI for AI.” Now, as the next step in this work, it is launching Microsoft 365 Copilot Chat — a rebranded version of its free AI chat experience for businesses, enhanced with agentic capabilities.
Meanwhile, the World Economic Forum surveyed 1,000 global employers, who collectively employ more than 14.1 million workers across 22 industries, for its Future of Jobs report—and it found that 41% of bosses think they’ll need to reduce their workforce in the next five years. Why? Because they predict there will be a pool of workers whose skills or roles become obsolete thanks to AI.
S. Get a guide to the concept of agents and multi-agent frameworks, and learn how to build complex AI applications that can drive business value. ” + s next in AI. ” + And, to kick off Possible’s fourth season, Reid and Aria sit down with world-renowned computer scientist Dr. Fei-Fei Li, whose work in artificial intelligence over the past several decades has earned her the nickname “the godmother of AI.” An entrepreneur and professor, Fei-Fei shares her journey …
CERN discovers antihyperhelium-4, the heaviest antimatter particle to date.
Scientists at CERN’s Large Hadron Collider have discovered the heaviest antimatter particle ever observed: antihyperhelium-4.
This exotic particle, the antimatter counterpart of hyperhelium-4, contains two antiprotons, an antineutron, and an antilambda particle. The breakthrough offers insights into the extreme conditions of the early universe and sheds light on the baryon asymmetry problem — why our universe is dominated by matter despite matter and antimatter being created in equal amounts during the Big Bang.
The discovery was made using lead-ion collisions at the LHC, recreating the hyper-hot environment of the newborn universe. Machine learning models analyzed the data, identifying antihyperhelium-4 particles and precisely measuring their masses.
While the experiment confirmed that matter and antimatter are created in equal portions, the mystery of what tipped the cosmic balance remains unsolved. With ongoing upgrades to the LHC, more groundbreaking discoveries in antimatter research could be on the horizon.
In a bold new theory, researchers from Microsoft, Brown University, and other institutions suggest that the universe might be capable of teaching itself how to evolve. Their study, published on the preprint server arXiv, proposes that the physical laws we observe today may have emerged through a gradual learning process, akin to Darwinian natural selection or self-learning algorithms in artificial intelligence.
This radical idea challenges traditional cosmology by imagining a primitive early universe where physical laws like gravity were far simpler or even static. Over time, these laws “learned” to adapt into more complex forms, enabling the structured universe we observe today. For instance, gravity might have initially lacked distinctions between celestial bodies like Earth and the Moon. This progression mirrors how adaptable traits in biology survive through natural selection.
Using a metalearning approach to model relational learning, Miconi and Kay show neural mechanisms for structured generalization and rapid learning.
With the advent of machine learning and artificial intelligence, materials science could be poised to take its next big leap in efficiency since the introduction of computational chemistry.
