MAROKO133 Hot ai: Inside Ring-1T: Ant engineers solve reinforcement learning bottlenecks a

📌 MAROKO133 Hot ai: Inside Ring-1T: Ant engineers solve reinforcement learning bot

China’s Ant Group, an affiliate of Alibaba, detailed technical information around its new model, Ring-1T, which the company said is “the first open-source reasoning model with one trillion total parameters.”

Ring-1T aims to compete with other reasoning models like GPT-5 and the o-series from OpenAI, as well as Google’s Gemini 2.5. With the new release of the latest model, Ant extends the geopolitical debate over who will dominate the AI race: China or the US. 

Ant Group said Ring-1T is optimized for mathematical and logical problems, code generation and scientific problem-solving. 

“With approximately 50 billion activated parameters per token, Ring-1T achieves state-of-the-art performance across multiple challenging benchmarks — despite relying solely on natural language reasoning capabilities,” Ant said in a paper.

Ring-1T, which was first released on preview in September, adopts the same architecture as Ling 2.0 and trained on the Ling-1T-base model the company released earlier this month. Ant said this allows the model to support up to 128,000 tokens.

To train a model as large as Ring-1T, researchers had to develop new methods to scale reinforcement learning (RL).

New methods of training

Ant Group developed three “interconnected innovations” to support the RL and training of Ring-1T, a challenge given the model's size and the typically large compute requirements it entails. These three are IcePop, C3PO++ and ASystem.

IcePop removes noisy gradient updates to stabilize training without slowing inference. It helps eliminate catastrophic training-inference misalignment in RL. The researchers noted that when training models, particularly those using a mixture-of-experts (MoE) architecture like Ring-1T, there can often be a discrepancy in probability calculations. 

“This problem is particularly pronounced in the training of MoE models with RL due to the inherent usage of the dynamic routing mechanism. Additionally, in long CoT settings, these discrepancies can gradually accumulate across iterations and become further amplified,” the researchers said. 

IcePop “suppresses unstable training updates through double-sided masking calibration.”

The next new method the researchers had to develop is C3PO++, an improved version of the C3PO system that Ant previously established. The method manages how Ring-1T and other extra-large parameter models generate and process training examples, or what they call rollouts, so GPUs don’t sit idle. 

The way it works would break work in rollouts into pieces to process in parallel. One group is the inference pool, which generates new data, and the other is the training pool, which collects results to update the model. C3PO++ creates a token budget to control how much data is processed, ensuring GPUs are used efficiently.

The last new method, ASystem, adopts a SingleController+SPMD (Single Program, Multiple Data) architecture to enable asynchronous operations.  

Benchmark results

Ant pointed Ring-1T to benchmarks measuring performance in mathematics, coding, logical reasoning and general tasks. They tested it against models such as DeepSeek-V3.1-Terminus-Thinking, Qwen-35B-A22B-Thinking-2507, Gemini 2.5 Pro and GPT-5 Thinking. 

In benchmark testing, Ring-1T performed strongly, coming in second to OpenAI’s GPT-5 across most benchmarks. Ant said that Ring-1T showed the best performance among all the open-weight models it tested. 

The model posted a 93.4% score on the AIME 25 leaderboard, second only to GPT-5. In coding, Ring-1T outperformed both DeepSeek and Qwen.

“It indicates that our carefully synthesized dataset shapes Ring-1T’s robust performance on programming applications, which forms a strong foundation for future endeavors on agentic applications,” the company said. 

Ring-1T shows how much Chinese companies are investing in models 

Ring-1T is just the latest model from China aiming to dethrone GPT-5 and Gemini. 

Chinese companies have been releasing impressive models at a quick pace since the surprise launch of DeepSeek in January. Ant's parent company, Alibaba, recently released Qwen3-Omni, a multimodal model that natively unifies text, image, audio and video. DeepSeek has also continued to improve its models and earlier this month, launched DeepSeek-OCR. This new model reimagines how models process information. 

With Ring-1T and Ant’s development of new methods to train and scale extra-large models, the battle for AI dominance between the US and China continues to heat up.   

🔗 Sumber: venturebeat.com

📌 MAROKO133 Eksklusif ai: MIT’s new method helps probe inside atom’s nucleus using

Scientists have developed a new method that can help them probe inside atom’s nucleus. Developed by researchers at MIT, the method uses the atom’s own electrons as “messengers” within a molecule to help probe inside the nucleus.

“Our results lay the groundwork for subsequent studies aiming to measure violations of fundamental symmetries at the nuclear level,” said study co-author Ronald Fernando Garcia Ruiz, who is the Thomas A. Franck Associate Professor of Physics at MIT.

“This could provide answers to some of the most pressing questions in modern physics.”

Probe the inside of atomic nuclei

The research team also pointed out that typically, experiments to probe the inside of atomic nuclei involve massive, kilometers-long facilities that accelerate beams of electrons to speeds fast enough to collide with and break apart nuclei.

The team’s new molecule-based method offers a table-top alternative to probe the inside of an atom’s nucleus directly. With this new method, physicists precisely measured the energy of electrons whizzing around a radium atom that had been paired with a fluoride atom to make a molecule of radium monofluoride.

The research team used the environments within molecules as a sort of microscopic particle collider, which contained the radium atom’s electrons and encouraged them to briefly penetrate the atom’s nucleus.

Within molecules of radium monofluoride, the team measured the energies of a radium atom’s electrons as they pinged around inside the molecule.

New way to measure the nuclear magnetic distribution

The research team discerned a slight energy shift and determined that electrons must have briefly penetrated the radium atom’s nucleus and interacted with its contents. As the electrons winged back out, they retained this energy shift, providing a nuclear “message” that could be analyzed to sense the internal structure of the atom’s nucleus, according to the MIT research.

The new method offers a new way to measure the nuclear “magnetic distribution.” In a nucleus, each proton and neutron acts like a small magnet, and they align differently depending on how the nucleus’ protons and neutrons are spread out. The team plans to apply their method to precisely map this property of the radium nucleus for the first time, according to a press release.

What they find could help to answer one of the biggest mysteries in cosmology: Why do we see much more matter than antimatter in the universe?

Precision laser spectroscopy measurements

Published in the journal Science, the study reveals precision laser spectroscopy measurements and theoretical calculations of the structure of the radioactive radium monofluoride molecule, 225Ra19F.

The research team highlighted that the study’s results allow fine details of the short-range electron-nucleus interaction to be revealed, indicating the high sensitivity of this molecule to the distribution of magnetization, currently a poorly constrained nuclear property, within the radium nucleus.

“These results provide a direct and stringent test of the description of the electronic wavefunction inside the nuclear volume, highlighting the suitability of these molecules to investigate subatomic phenomena,” said researchers in the study.

“The radium nucleus is predicted to be an amplifier of this symmetry breaking, because its nucleus is asymmetric in charge and mass, which is quite unusual,” said Garcia Ruiz, whose group has focused on developing methods to probe radium nuclei for signs of fundamental symmetry violation.

The research team also stressed that peering inside the nucleus of a radium atom to investigate fundamental symmetries is an incredibly tricky exercise.

“Radium is naturally radioactive, with a short lifetime and we can currently only produce radium monofluoride molecules in tiny quantities,” said study lead author Shane Wilkins, a former postdoc at MIT. “We therefore need incredibly sensitive techniques to be able measure them.”

🔗 Sumber: interestingengineering.com