Maximilian Schreiner@THE DECODER
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Google has unveiled Gemini 2.5 Pro, its latest and "most intelligent" AI model to date, showcasing significant advancements in reasoning, coding proficiency, and multimodal functionalities. According to Google, these improvements come from combining a significantly enhanced base model with improved post-training techniques. The model is designed to analyze complex information, incorporate contextual nuances, and draw logical conclusions with unprecedented accuracy. Gemini 2.5 Pro is now available for Gemini Advanced users and on Google's AI Studio.
Google emphasizes the model's "thinking" capabilities, achieved through chain-of-thought reasoning, which allows it to break down complex tasks into multiple steps and reason through them before responding. This new model can handle multimodal input from text, audio, images, videos, and large datasets. Additionally, Gemini 2.5 Pro exhibits strong performance in coding tasks, surpassing Gemini 2.0 in specific benchmarks and excelling at creating visually compelling web apps and agentic code applications. The model also achieved 18.8% on Humanity’s Last Exam, demonstrating its ability to handle complex knowledge-based questions.
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References :
- SiliconANGLE: Google LLC said today it’s updating its flagship Gemini artificial intelligence model family by introducing an experimental Gemini 2.5 Pro version.
- The Tech Basic: Google's New AI Models “Think” Before Answering, Outperform Rivals
- AI News | VentureBeat: Google releases ‘most intelligent model to date,’ Gemini 2.5 Pro
- Analytics Vidhya: We Tried the Google 2.5 Pro Experimental Model and It’s Mind-Blowing!
- www.tomsguide.com: Google unveils Gemini 2.5 — claims AI breakthrough with enhanced reasoning and multimodal power
- Google DeepMind Blog: Gemini 2.5: Our most intelligent AI model
- THE DECODER: Google Deepmind has introduced Gemini 2.5 Pro, which the company describes as its most capable AI model to date. The article appeared first on .
- intelligence-artificielle.developpez.com: Google DeepMind a lancé Gemini 2.5 Pro, un modèle d'IA qui raisonne avant de répondre, affirmant qu'il est le meilleur sur plusieurs critères de référence en matière de raisonnement et de codage
- The Tech Portal: Google unveils Gemini 2.5, its most intelligent AI model yet with ‘built-in thinking’
- Ars OpenForum: Google says the new Gemini 2.5 Pro model is its “smartest†AI yet
- The Official Google Blog: Gemini 2.5: Our most intelligent AI model
- www.techradar.com: I pitted Gemini 2.5 Pro against ChatGPT o3-mini to find out which AI reasoning model is best
- bsky.app: Google's AI comeback is official. Gemini 2.5 Pro Experimental leads in benchmarks for coding, math, science, writing, instruction following, and more, ahead of OpenAI's o3-mini, OpenAI's GPT-4.5, Anthropic's Claude 3.7, xAI's Grok 3, and DeepSeek's R1. The narrative has finally shifted.
- Shelly Palmer: Google’s Gemini 2.5: AI That Thinks Before It Speaks
- bdtechtalks.com: Gemini 2.5 Pro is a new reasoning model that excels in long-context tasks and benchmarks, revitalizing Google’s AI strategy against competitors like OpenAI.
- Interconnects: The end of a busy spring of model improvements and what's next for the presumed leader in AI abilities.
- www.techradar.com: Gemini 2.5 is now available for Advanced users and it seriously improves Google’s AI reasoning
- www.zdnet.com: Google releases 'most intelligent' experimental Gemini 2.5 Pro - here's how to try it
- Unite.AI: Gemini 2.5 Pro is Here—And it Changes the AI Game (Again)
- TestingCatalog: Gemini 2.5 Pro sets new AI benchmark and launches on AI Studio and Gemini
- Analytics Vidhya: Google DeepMind's latest AI model, Gemini 2.5 Pro, has reached the #1 position on the Arena leaderboard.
- AI News: Gemini 2.5: Google cooks up its ‘most intelligent’ AI model to date
- Fello AI: Google’s Gemini 2.5 Shocks the World: Crushing AI Benchmark Like No Other AI Model!
- Analytics India Magazine: Google Unveils Gemini 2.5, Crushes OpenAI GPT-4.5, DeepSeek R1, & Claude 3.7 Sonnet
- Practical Technology: Practical Tech covers the launch of Google's Gemini 2.5 Pro and its new AI benchmark achievements.
- Shelly Palmer: Google's Gemini 2.5: AI That Thinks Before It Speaks
- www.producthunt.com: Google's most intelligent AI model
- Windows Copilot News: Google reveals AI ‘reasoning’ model that ‘explicitly shows its thoughts’
- AI News | VentureBeat: Hands on with Gemini 2.5 Pro: why it might be the most useful reasoning model yet
- thezvi.wordpress.com: Gemini 2.5 Pro Experimental is America’s next top large language model. That doesn’t mean it is the best model for everything. In particular, it’s still Gemini, so it still is a proud member of the Fun Police, in terms of …
- www.computerworld.com: Gemini 2.5 can, among other things, analyze information, draw logical conclusions, take context into account, and make informed decisions.
- www.infoworld.com: Google introduces Gemini 2.5 reasoning models
- Maginative: Google's Gemini 2.5 Pro leads AI benchmarks with enhanced reasoning capabilities, positioning it ahead of competing models from OpenAI and others.
- www.infoq.com: Google's Gemini 2.5 Pro is a powerful new AI model that's quickly becoming a favorite among developers and researchers. It's capable of advanced reasoning and excels in complex tasks.
- AI News | VentureBeat: Google’s Gemini 2.5 Pro is the smartest model you’re not using – and 4 reasons it matters for enterprise AI
- Communications of the ACM: Google has released Gemini 2.5 Pro, an updated AI model focused on enhanced reasoning, code generation, and multimodal processing.
- The Next Web: Google has released Gemini 2.5 Pro, an updated AI model focused on enhanced reasoning, code generation, and multimodal processing.
- www.tomsguide.com: Gemini 2.5 Pro is now free to all users in surprise move
- Composio: Google just launched Gemini 2.5 Pro on March 26th, claiming to be the best in coding, reasoning and overall everything. But I The post appeared first on .
- Composio: Google's Gemini 2.5 Pro, released on March 26th, is being hailed for its enhanced reasoning, coding, and multimodal capabilities.
- Analytics India Magazine: Gemini 2.5 Pro is better than the Claude 3.7 Sonnet for coding in the Aider Polyglot leaderboard.
- www.zdnet.com: Gemini's latest model outperforms OpenAI's o3 mini and Anthropic's Claude 3.7 Sonnet on the latest benchmarks. Here's how to try it.
- www.marketingaiinstitute.com: [The AI Show Episode 142]: ChatGPT’s New Image Generator, Studio Ghibli Craze and Backlash, Gemini 2.5, OpenAI Academy, 4o Updates, Vibe Marketing & xAI Acquires X
- www.tomsguide.com: Gemini 2.5 is free, but can it beat DeepSeek?
- www.tomsguide.com: Google Gemini could soon help your kids with their homework — here’s what we know
- PCWorld: Google’s latest Gemini 2.5 Pro AI model is now free for all users
- www.techradar.com: Google just made Gemini 2.5 Pro Experimental free for everyone, and that's awesome.
- Last Week in AI: #205 - Gemini 2.5, ChatGPT Image Gen, Thoughts of LLMs
Ryan Daws@AI News
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DeepSeek V3-0324 has emerged as a leading AI model, topping benchmarks for non-reasoning AI in an open-source breakthrough. This milestone signifies a significant advancement in the field, as it marks the first time an open weights model has achieved the top position among non-reasoning models. The model's performance surpasses proprietary counterparts and edges it closer to proprietary reasoning models, highlighting the growing viability of open-source solutions for latency-sensitive applications. DeepSeek V3-0324 represents a new era for open-source AI, offering a powerful and adaptable tool for developers and enterprises.
DeepSeek-V3 now runs at 20 tokens per second on Apple’s Mac Studio, presenting a challenge to OpenAI’s cloud-dependent business model. The 685-billion-parameter model, DeepSeek-V3-0324, is freely available for commercial use under the MIT license. This achievement, coupled with its cost efficiency and performance, signals a shift in the AI sector, where open-source frameworks increasingly compete with closed systems. Early testers report significant improvements over previous versions, positioning DeepSeek's new model above Claude Sonnet 3.5 from Anthropic.
Recommended read:
References :
- Analytics India Magazine: The model outperformed all other non-reasoning models across several benchmarks but trailed behind DeepSeek-R1, OpenAI’s o1, o3-mini, and other reasoning models.
- venturebeat.com: DeepSeek-V3 now runs at 20 tokens per second on Mac Studio, and that’s a nightmare for OpenAI
- AI News: DeepSeek V3-0324 tops non-reasoning AI models in open-source first
- Analytics Vidhya: DeepSeek V3-0324: Generated 700 Lines of Code without Breaking
- Analytics Vidhya: DeepSeek V3-0324 vs Claude 3.7: Which is the Better Coder?
- Cloud Security Alliance: Markets reacted dramatically, with Nvidia alone losing nearly $600 billion in value in a single day, part of a broader...
- GZERO Media: Just a few short months ago, Silicon Valley seemed to have the artificial intelligence industry in a chokehold.
- MarkTechPost: DeepSeek AI Unveils DeepSeek-V3-0324: Blazing Fast Performance on Mac Studio, Heating Up the Competition with OpenAI
- SiliconANGLE: DeepSeek today released an improved version of its DeepSeek-V3 large language model under a new open-source license.
- techstrong.ai: DeepSeek Ups Ante (Again) in Duel with OpenAI, Anthropic
- www.zdnet.com: DeepSeek V3 model gets a major upgrade
- www.techradar.com: DeepSeek’s new AI is smarter, faster, cheaper, and a real rival to OpenAI's models
- Composio: Deepseek v3 0324: Finally, the Sonnet 3.5 at Home
- AI News: DeepSeek disruption: Chinese AI innovation narrows global technology divide
Cierra Choucair@The Quantum Insider
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Nvidia CEO Jensen Huang unveiled the company's latest advancements in AI and quantum computing at GTC 2025, emphasizing a clear roadmap for data center computing, AI reasoning, robotics, and autonomous vehicles. The centerpiece was the Blackwell platform, now in full production, boasting a 40x performance leap over its predecessor, Hopper, crucial for inference workloads. Nvidia is also countering the DeepSeek efficiency challenge, with focus on the Rubin AI chips slated for late 2026.
Nvidia is establishing the NVIDIA Accelerated Quantum Research Center (NVAQC) in Boston to integrate quantum hardware with AI supercomputers. The center will collaborate with industry leaders and top universities to address quantum computing challenges. NVAQC is set to begin operations later this year, supporting the broader quantum ecosystem by accelerating the transition from experimental to practical quantum computing. NVAQC will employ the NVIDIA GB200 NVL72 systems and CUDA-Q platform to power research on quantum simulations, hybrid quantum algorithms, and AI-driven quantum applications.
Recommended read:
References :
- techxplore.com: Nvidia CEO Jensen Huang unveils new Rubin AI chips at GTC 2025
- venturebeat.com: Nvidia’s GTC 2025 keynote: 40x AI performance leap, open-source ‘Dynamo’, and a walking Star Wars-inspired ‘Blue’ robot
- The Quantum Insider: The NVIDIA Accelerated Quantum Research Center Will Bring Together Industry Partners and AI Supercomputers to Advance QPU's
- BigDATAwire: Today marks the end of Nvidia’s GPU Technology Conference (GTC) 2025, a weeklong event in San Jose, California that be remembered for a long time, if not for the content
- TheSequence: The announcements at GTC showcased covered both AI chips and models.
- The Quantum Insider: NVIDIA’s Quantum Strategy: Not Building the Computer, But the World That Enables It
@Scientific American
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D-Wave, a quantum computing firm, has asserted that its quantum computers have achieved quantum supremacy by solving a problem of scientific relevance faster than classical computers. Specifically, D-Wave Quantum Inc. claims that its annealing quantum computer outperformed the Frontier supercomputer in simulating complex magnetic materials, a feat published in the journal Science. The company stated that its system completed simulations in minutes that would take Frontier nearly a million years and consume more than the world's annual electricity consumption. The results, according to D-Wave executives, validate the practical advantage of quantum annealing and represent a significant milestone in quantum computational supremacy and materials discovery.
However, the company's claims have been met with scrutiny. Some researchers argue that classical algorithms can still rival or exceed quantum methods in certain cases. For instance, researchers at the Flatiron Institute and EPFL have suggested that classical algorithms, including belief propagation and time-dependent variational Monte Carlo methods, can match or even surpass D-Wave's results in specific scenarios. D-Wave's CEO, Alan Baratz, has responded to these criticisms, arguing that the competing studies tested only a subset of the problems addressed in D-Wave's work and that their simulations covered a broader range of lattice geometries and conditions.
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Sean Hollister@The Verge
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Nvidia CEO Jensen Huang unveiled the company's next generation of AI chips at the GTC 2025 conference, including the Blackwell Ultra GB300 and Vera Rubin, its next AI superchips. During the conference, Huang emphasized the advancements in AI and his predictions for the industry's future, noting that AI is at an "inflection point" and highlighting the evolution of AI from perception to generative AI, and now to agentic AI which can understand context and generate answers. Nvidia's new roadmap includes the Blackwell Ultra, slated for release in the second half of 2025, and the Vera Rubin AI chip, expected in late 2026.
The Blackwell Ultra isn't built on a completely new architecture but it offers enhanced capabilities, including 20 petaflops of AI performance and 288GB of HBM3e memory. In addition to the chip announcements, Nvidia revealed that it is building the Nvidia Accelerated Quantum Research Center (NVAQC) in Boston, aimed at integrating quantum computing with AI supercomputers, despite Huang's recent claims that practical quantum systems are still decades away. The NVAQC will collaborate with institutions like the Harvard Quantum Initiative and MIT, with aims to solve challenging problems in quantum computing and enable accelerated quantum supercomputing.
Recommended read:
References :
- techxplore.com: Nvidia CEO Jensen Huang unveils new Rubin AI chips at GTC 2025
- The Verge: Nvidia announces Blackwell Ultra GB300 and Vera Rubin, its next AI ‘superchips’
- The Quantum Insider: The NVIDIA Accelerated Quantum Research Center Will Bring Together Industry Partners and AI Supercomputers to Advance QPUs
- venturebeat.com: Nvidia’s GTC 2025 keynote: 40x AI performance leap, open-source ‘Dynamo’, and a walking Star Wars-inspired ‘Blue’ robot
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