News

Synced10d
DeepSeek-V3 New Paper is coming! Unveiling the Secrets of Low-Cost Large Model Training through Hardware-Aware Co-design
A newly released 14-page technical paper from the team behind DeepSeek-V3, with DeepSeek CEO Wenfeng Liang as a co-author, sheds light on the “Scaling Challenges and Reflections on Hardware for AI ...
syncedreview26d
DeepSeek Unveils DeepSeek-Prover-V2: Advancing Neural Theorem Proving with Recursive Proof Search and a New Benchmark
DeepSeek AI has announced the release of DeepSeek-Prover-V2, a groundbreaking open-source large language model specifically designed for formal theorem proving within the Lean 4 environment. This ...
syncedreview1mon
Can GRPO be 10x Efficient? Kwai AI’s SRPO Suggests Yes with SRPO
The remarkable success of OpenAI’s o1 series and DeepSeek-R1 has unequivocally demonstrated the power of large-scale reinforcement learning (RL) in eliciting sophisticated reasoning behaviors and ...
syncedreview1mon
Zhipu.AI’s Open-Source Power Play: Blazing-Fast GLM Models & Global Expansion Ahead of Potential IPO
Beijing, China – April 15, 2025 – In a strategic move that underscores its technological prowess and global ambitions, potentially paving the way for a future IPO, Chinese AI company Zhipu.AI has ...
syncedreview1mon
World’s Premiere Self-driving IPO: TuSimple Raises USD 1.35 Billion
On April 15, self-driving truck company TuSimple raised USD 1.35 billion with its NASDAQ IPO, with company valuation hitting USD 8.5 billion at high point. Founded in 2015, TuSimple had received ...
syncedreview1mon
DeepSeek Signals Next-Gen R2 Model, Unveils Novel Approach to Scaling Inference with SPCT
DeepSeek AI, a prominent player in the large language model arena, has recently published a research paper detailing a new technique aimed at enhancing the scalability of general reward models (GRMs) ...
syncedreview4mon
Beyond Next-Token Prediction? Meta’s Novel Architectures Spark Debate on the Future of Large Language Models
A pair of groundbreaking research initiatives from Meta AI in late 2024 is challenging the fundamental “next-token prediction” paradigm that underpins most of today’s large language models (LLMs). The ...
syncedreview5mon
From Token to Conceptual: Meta introduces Large Concept Models in Multilingual AI
Large Language Models (LLMs) have become indispensable tools for diverse natural language processing (NLP) tasks. Traditional LLMs operate at the token level, generating output one word or subword at ...
syncedreview5mon
DeepMind’s Socratic Learning with Language Games: The Path to Self-Improving Superintelligence
Researchers from Google DeepMind introduce the concept of "Socratic learning." This refers to a form of recursive self-improvement in artificial intelligence that significantly enhances performance ...
syncedreview7mon
AI Self-Evolution: How Long-Term Memory Drives the Next Era of Intelligent Models
Large language models (LLMs) like GPTs, developed from extensive datasets, have shown remarkable abilities in understanding language, reasoning, and planning. Yet, for AI to reach its full potential, ...
syncedreview7mon
LLMs as Code Architects: Meta’s New Approach to Precise Code Transformations
Tools designed for rewriting, refactoring, and optimizing code should prioritize both speed and accuracy. Large language models (LLMs), however, often lack these critical attributes. Despite these ...