According to @GoogleAI, the Gemma 3B E4B model is a significant breakthrough in the AI industry, supporting over 140 languages for text, 35 languages for multimodal understanding, and delivering major improvements in math, coding, and reasoning tasks. Notably, it is the first model under 10 billion parameters to surpass a 1300 score on the Lmarena AI benchmark, showcasing efficient performance and broad applicability for global, multilingual, and cross-domain AI solutions (source: @GoogleAI via Twitter, goo.gle/gemma-3n-general-ava).

According to @ylecun, a new paper by @tydsh and colleagues demonstrates that reasoning in continuous embedding space is theoretically much more powerful than reasoning in discrete token space (source: https://twitter.com/ylecun/status/1935253043676868640). The research shows that continuous embedding allows AI systems to capture nuanced relationships and perform more complex operations, potentially leading to more advanced large language models and improved AI reasoning capabilities. For AI businesses, this indicates a significant market opportunity to develop next-generation models and applications that leverage continuous representation for enhanced understanding, inference, and decision-making (source: https://arxiv.org/abs/2406.12345).

According to Oriol Vinyals (@OriolVinyalsML), Google has introduced the Gemini 2.5 Pro preview, demonstrating a significant +24 improvement in LMArena Elo score over its previous version. The model leads industry benchmarks in advanced coding tasks (AIME, AIDER), science problem solving (GPQA), and complex reasoning (HLE), outperforming competitors in practical AI applications. Enhanced style and structure, informed by user feedback, make Gemini 2.5 Pro a compelling choice for businesses seeking robust generative AI solutions in software development, scientific research, and advanced analytics (Source: @OriolVinyalsML, Twitter, June 5, 2025).

According to Sundar Pichai on Twitter, the Gemini 2.5 Pro update is now in preview and delivers significant improvements in AI coding, reasoning, scientific, and mathematical capabilities. The update demonstrates higher performance across key industry benchmarks such as AIDER Polyglot, GPQA, and HLE. Notably, Gemini 2.5 Pro leads the @lmarena_ai leaderboard with a 24-point Elo score increase compared to the previous version (source: Sundar Pichai, Twitter, June 5, 2025). These advancements signal new business opportunities for enterprises looking to integrate state-of-the-art AI for software development, scientific research, and data analysis.

According to ElevenLabs (@elevenlabsio), the challenge of solving cryptic crossword clues without using large language models (LLMs) highlights the evolving intersection between artificial intelligence and human problem-solving skills. The clues shared—'Starter, perhaps, torse twisted (3,5)' and 'Fruit vendor's tale without the ending (5,5)'—demonstrate the nuanced reasoning and pattern recognition required, which remain core areas of research for AI developers. This trend points to significant business opportunities in building AI-powered puzzle-solving tools, educational apps, and gamified learning platforms, as the demand for AI systems that emulate human-like reasoning continues to grow (source: @elevenlabsio, Twitter, May 29, 2025).

According to Oriol Vinyals on Twitter, Google introduced Gemini 2.5 Pro Deep Think at Google I/O 2025, showcasing a significant leap in AI reasoning capabilities. This updated model is specifically designed to solve highly complex problems, such as USAMO (USA Mathematical Olympiad) questions that have previously challenged state-of-the-art AI systems. The Deep Think mode empowers Gemini 2.5 Pro to address advanced reasoning tasks, positioning it as a leading solution for industries requiring sophisticated AI-driven analysis, including advanced research, education technology, and enterprise problem-solving. This advancement demonstrates Google’s commitment to pushing the boundaries of AI and opens new business opportunities for leveraging AI in complex domains (Source: Oriol Vinyals, Twitter, May 22, 2025).