Add Row
Add Element
cropper
update

{COMPANY_NAME}

cropper
update
Add Element
  • Home
  • Categories
    • Essentials
    • Tools
    • Stories
    • Workflows
    • Ethics
    • Trends
    • News
    • Generative AI
    • TERMS OF SERVICE
    • Privacy Policy
Add Element
  • update
  • update
  • update
  • update
  • update
  • update
  • update
Add Row
Add Element
April 09.2025
3 Minutes Read

Deep Cogito Launches Innovative AI Models with Enhanced Reasoning Capabilities

Futuristic network graphic representing hybrid AI reasoning models.

Unlocking the Future with Deep Cogito’s Hybrid AI Models

In the race to develop advanced artificial intelligence, startups are emerging from the shadows with groundbreaking ideas. One such startup is Deep Cogito, which recently unveiled its innovative suite of hybrid AI models designed to enhance reasoning capabilities. The company has developed a family of models that allow users to toggle between reasoning and non-reasoning modes—a significant leap forward in AI technology.

The Promise of Reasoning in AI

Deep Cogito’s hybrid models offer a unique approach to AI reasoning, akin to other notable models like OpenAI's o1. These reasoning-focused systems have demonstrated their prowess in challenging domains such as mathematics and physics, showing a remarkable ability to verify their own outputs by methodically approaching problems. However, the traditional reasoning models often encounter limitations, particularly when it comes to computing resources and latency. Deep Cogito bridges that gap by combining reasoning components with standard, non-reasoning elements, enabling users to receive quick answers for simple queries while also engaging in deeper analysis for complex questions.

Inside the Cogito 1 Models

The flagship line of models, called Cogito 1, operates across a spectrum of 3 billion to 70 billion parameters, with plans to introduce models containing up to 671 billion parameters soon. The number of parameters signifies the model’s complexity and problem-solving capacity—with more parameters typically translating to elevated performance. These models have surpassed leading open models in direct comparisons, such as those from Meta and the emerging Chinese AI startup, DeepSeek.

Innovation through Collaboration

Deep Cogito’s models did not sprout from scratch; they built upon Meta’s open Llama and Alibaba’s Qwen models. This synergy provides the foundation for Deep Cogito’s exceptional performance by enhancing previous iterations through novel training approaches, which refine the base models' functionality and allow for those toggleable reasoning features.

Benchmarking Success: Standing Out in a Crowded Market

Cogito’s internal benchmarking reveals that the Cogito 70B, particularly in its reasoning-enabled mode, consistently outperforms competitors like DeepSeek’s R1 on various mathematical and linguistic evaluations. Notably, when reasoning is disabled, it still surpasses Meta’s Llama 4 Scout model on LiveBench, an AI performance benchmark.

The Road Ahead: Scalability and Innovations

Deep Cogito is still at an early stage in its scaling journey, employing only a fraction of the computing power typically utilized for extensive training of large language models. The company is actively exploring complementary post-training methods to bolster ongoing self-improvement. As the AI landscape evolves, the company's ambitious goal is to steer the development of “general superintelligence,” which they define as AI exhibiting abilities beyond the capabilities of the average human and discovering new, unimagined potentials.

A Look at the Team Behind the Innovation

Founded in June 2024, Deep Cogito operates out of San Francisco and lists Drishan Arora and Dhruv Malhotra as co-founders. Both bring profound experience from their previous roles—Malhotra at Google’s DeepMind and Arora as a senior software engineer, adding weight to the young startup's credentials as it strives to reshape the AI domain.

The Significance of Open Access to AI Technology

By making all Cogito 1 models available for download or via APIs with providers like Fireworks AI and Together AI, Deep Cogito ensures broad access to these powerful technologies. This model fosters innovation and creativity within the tech community and allows a diverse set of developers and researchers to experiment with advanced AI capabilities.

Conclusion: What’s Next for Deep Cogito?

As Deep Cogito embarks on its journey through the rapidly changing landscape of AI, the implications of their hybrid model capabilities are significant—not just for developers and businesses but for society at large. By continuing to push the boundaries of AI development and inviting collaboration through open access models, we can expect profound advancements in this technology that could alter the course of human interaction with machines. The potential for AI that embodies reasoning and adaptability is just beginning to be realized, and it will be intriguing to observe how Deep Cogito unfolds its vision in the months and years ahead.

Generative AI

4 Views

0 Comments

Write A Comment

*
*
Related Posts All Posts
05.08.2025

Fastino's $17.5M Raise: A Game Changer for AI Models Using Gaming GPUs

Update Revolutionizing AI: Fastino's Approach to Smaller Models In a landscape dominated by tech giants flaunting trillion-parameter AI models powered by robust GPU clusters, Fastino is carving out its own niche. This Palo Alto-based startup is shaking up the industry with a novel AI model architecture that prioritizes being small and task-specific, a significant departure from the size-centric trend prevalent in the field today. The Promise of Affordable AI Solutions Fastino has made headlines recently by securing $17.5 million in seed funding led by Khosla Ventures, known for its investment in OpenAI. This capital injection brings the startup's total funding to nearly $25 million, following a previous round of $7 million led by Microsoft’s VC arm, M12. It’s a clear indication that investors are taking notice of Fastino's unique approach to AI. Small Models, Big Impact Fastino's focus is on crafting small, specialized models that can be trained on low-end gaming GPUs—costing less than $100,000 in total. According to CEO and co-founder Ash Lewis, this innovation not only reduces training costs significantly but also improves speed and accuracy. Early adopters report that Fastino’s models can provide comprehensive responses in milliseconds, demonstrating efficiency that could reshape how enterprises approach AI. Creating Task-Specific AI Models The startup has developed a variety of models designed to address specific tasks, like redacting sensitive information and summarizing documents. Such a focused approach stands in contrast to the broader efforts of competitors such as Cohere and Databricks, who are also working within the enterprise AI space. Fastino’s strategic decision to focus on smaller models aligns with a growing industry consensus that the future of generative AI will involve more tailored applications of language models. Challenges in a Crowded Marketplace However, as Fastino navigates the competitive landscape of enterprise AI, challenges lie ahead. Major players such as Anthropic and Mistral, which provide small and efficient models, pose a threat. The competition within this sector is fierce, with numerous companies vying for attention and market share. While Fastino’s funding from Khosla is an encouraging signal, the startup must prove that its models can consistently compete with more established technologies. Hiring for Innovation To drive innovation, Fastino is looking to recruit researchers from top AI labs who think differently about building language models. The objective is to attract individuals who challenge conventional wisdom and demonstrate a willingness to explore alternative methodologies. This contrarian hiring strategy might just position Fastino as a leader in a space saturated with similar offerings. The Future of AI and Fastino’s Role The journey ahead for Fastino is rife with opportunities and uncertainties. As the startup continues to develop its cutting-edge AI technology, its success will rest not only on its funding but also on the efficacy of its models and the responsiveness of its development team to changing market needs. The emphasis on smaller, task-oriented models is garnering attention in the industry—will Fastino emerge as a pivotal player in shaping this trend? Conclusion: The Road Ahead for Fastino Fastino's model for training AI on inexpensive gaming GPUs may well alter the trajectory of enterprise AI solutions. By prioritizing specific tasks over massive data requirements, the company is positioning itself as both a cost-effective alternative and an innovator in the space. As it builds its team and evolves its technologies, the industry will be watching closely to see if a new paradigm in AI training emerges from Fastino's early ventures.

05.07.2025

Unpacking Hugging Face's Open Computer Agent: A New Era for AI Tools

Update Introduction to Hugging Face's Groundbreaking AI Tool Hugging Face, a pioneer in the AI field, has recently introduced an exciting tool designed to make computing more accessible to the average user. The Open Computer Agent, a cloud-hosted AI agent, showcases the latest technology in AI and prompts a discussion about its capabilities and limitations. This innovative tool aims to replicate the functionality of AI-driven agents like OpenAI’s Operator, but users should be aware of its current limitations before diving in. What is Open Computer Agent? The Open Computer Agent allows users to prompt the AI to perform tasks using a preloaded Linux virtual machine equipped with several applications, including web browsers like Firefox. Users can ask it to accomplish straightforward tasks like searching for locations or gathering information, making it a practical demonstration of AI's potential to simplify everyday computing jobs. Capabilities and Limitations of the Tool In initial tests conducted by TechCrunch, the tool performed adequately for simple tasks. For example, asking the AI to use Google Maps to locate Hugging Face’s headquarters in Paris resulted in a successful operation. However, when faced with more complex tasks, such as booking flights or navigating intricate websites, the AI frequently stumbled. Furthermore, its inability to bypass CAPTCHA tests suggested that significant improvements are still needed. Challenges of Using Open Computer Agent One major drawback of the Open Computer Agent is its sluggish performance and the queue users must wait in to gain access. Depending on the demand, individuals might experience wait times that range from seconds to several minutes, which can be frustrating for those seeking immediate assistance. Such limitations highlight the growing pains often associated with new technology, especially as users begin to expect more seamless and efficient interactions. The Future of AI Agents: What Lies Ahead With platforms like Hugging Face leading the charge, we are witnessing an era of rapid advancements in AI tools. The integration of AI into everyday computing tasks opens up a wealth of possibilities, from educational applications to complex problem-solving scenarios. As users become more accustomed to leveraging AI, expectations for these technologies will only grow, compelling developers to iron out existing challenges. The real question remains: how quickly will improvements be made, and can user feedback directly influence future iterations of the Open Computer Agent? Broader Implications for AI Tools The introduction of tools like the Open Computer Agent raises significant discussions about the ethical implications and the future of generative AI technologies. Although advancements in AI can provide ease and efficiency, they also come with necessary caution about dependency, privacy, and potential misuse. Developers and users alike must navigate these conversations to ensure a beneficial integration of AI into our daily lives. Conclusion: The Path Forward As this tool is still in its infancy, it presents both exciting innovations and considerable hurdles. Users are encouraged to engage with Open Computer Agent, providing feedback that may steer its evolution. Those interested in the burgeoning world of AI have a unique opportunity to watch and contribute to the development of smarter, more responsive agents in the coming years.

05.06.2025

Struggling with AI for Health Advice? Understanding the Challenges of Health Chatbots

Update Understanding the Rise of Health Chatbots As healthcare systems face increasing challenges, such as long wait times and high costs, many individuals are seeking alternative options for health-related advice. Reports indicate that approximately one in six American adults now turn to AI-powered chatbots like ChatGPT for guidance in health matters, reflecting a growing reliance on technology in the healthcare space. While this trend indicates an innovative approach to accessing health information, it raises serious questions about the effectiveness and reliability of chatbot-generated advice. The Chatbot Communication Gap A recent study led by researchers at Oxford University highlights alarming shortcomings in the way users interact with health chatbots. Participants in the study were given complex medical scenarios and instructed to utilize chatbots, among other methods, to identify potential health conditions and decide on necessary actions. Surprisingly, the results revealed a two-way communication breakdown between users and chatbots, as expressed by Adam Mahdi, co-author of the study. Many users either failed to provide the detailed information needed or misinterpreted the responses they received. Limitations and Dangers: What We Learned The Oxford study’s findings are particularly striking. Those using chatbots did not outperform individuals who relied on traditional sources for health information, such as their own judgment or online searches. This indicates that while chatbots can offer immediate information, their output may not always be accurate or suitable for health-related decisions. Not only were participants less likely to identify relevant health conditions, but they were also inclined to underestimate the seriousness of conditions they considered, at times leading to potential health risks. The Potential of AI in Healthcare: Opportunities and Challenges Despite the gaps identified in the Oxford study, the potential for AI in healthcare remains substantial. Major tech companies are investing in AI solutions aimed at enhancing health outcomes. For instance, Apple is developing an AI tool designed to provide personalized advice on diet and exercise, while Amazon adapts AI to analyze medical data for social determinants of health. Microsoft's commitment to using AI technologies to streamline communications between patients and healthcare providers demonstrates the industry's faith in AI as a transformative agent. Current Perspectives on AI-Driven Health Solutions However, a significant divide exists regarding the appropriateness of AI in higher-risk health applications. The American Medical Association has issued recommendations cautioning against using AI for critical health decisions until further research ensures reliability and safety. This hesitation from healthcare professionals reflects a more measured approach to integrating technology into patient care, prioritizing patient safety above innovativeness. Future Implications: Navigating Chatbots for Health Advice For individuals looking to AI for health advice, understanding its limitations and the context in which it can be helpful is essential. Although users might feel empowered by the accessibility of health information via platforms like chatbots, they must approach such interactions with a critical mindset. Ensuring a detailed and nuanced communication strategy with AI tools could help facilitate better outcomes, perhaps leading to a more harmonious and beneficial integration of technology into healthcare. Final Thoughts: A Cautious Embrace of AI in Healthcare As health chatbots continue to rise in popularity, a balanced approach is crucial. Users must be educated about the tools at their disposal, ensuring they understand the importance of providing detailed data and critically evaluating the responses received. Industry leaders should prioritize developing chatbots that can effectively engage with users for improved accuracy in health advisories. With the right framework and continuous improvements, health chatbots can play a valuable role in complementing traditional healthcare systems. In exploring the integration of AI into health practices, we encourage both patients and healthcare professionals to stay informed and engage critically with the technology. Awareness, education, and a collaborative approach can turn challenges into opportunities, enabling a smarter health ecosystem.

Add Row
Add Element
cropper
update
AI Marketing Simplified
cropper
update

AI Simplified is your ultimate destination for demystifying artificial intelligence, making complex concepts accessible to everyone. The website offers a wide range of easy-to-understand tutorials, insightful articles, and practical guides tailored for both beginners and seasoned enthusiasts. 

  • update
  • update
  • update
  • update
  • update
  • update
  • update
Add Element

COMPANY

  • Privacy Policy
  • Terms of Use
  • Advertise
  • Contact Us
  • Menu 5
  • Menu 6
Add Element

404 800 6751

AVAILABLE FROM 8AM - 5PM

City, State

 Woodstock, Georgia, USA

Add Element

ABOUT US

With regularly updated content, AI Simplified keeps you informed about the latest advancements and trends in the AI landscape. Join our community to empower yourself with the knowledge and tools needed to harness the power of AI effortlessly.

Add Element

© 2025 AI Marketing Simplified All Rights Reserved. 225 Pkwy 575 #2331, Woodstock, GA 30189 . Contact Us . Terms of Service . Privacy Policy

{"company":"AI Marketing Simplified","address":"225 Pkwy 575 #2331, Woodstock, GA 30189","city":"Woodstock","state":"GA","zip":"30189","email":"wmdnewsnetworks@gmail.com","tos":"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","privacy":"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"}

Terms of Service

Privacy Policy

Core Modal Title
T
Please Check Your Email
We Will Be Following Up Shortly
*
*
*