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Husky Hold’em Bench: Discover the Ultimate AI Poker Showdown

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6 months ago

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The world of artificial intelligence is moving at a breakneck pace, with major announcements dropping almost daily. In the latest whirlwind of updates, we’ve seen everything from new AI agent competitors and corporate layoff controversies to a truly fascinating new way to measure AI capabilities. The most surprising development is the new Husky Hold’em Bench, a benchmark that forces large language models (LLMs) to go beyond simple code generation and prove their strategic thinking in the high-stakes world of competitive poker.

The current leaderboard shows a surprising dominance by Anthropic's Claude models.
The current leaderboard shows a surprising dominance by Anthropic’s Claude models.

What is the Husky Hold’em Bench? A New Arena for AI

For years, AI researchers have built specialized bots to beat humans at complex games like poker. But now, the tables have turned. Created by Nous Research, the Husky Hold’em Bench isn’t about humans coding the perfect bot; it’s about seeing how well today’s most advanced LLMs can create poker-playing bots themselves.

This benchmark moves beyond standard tests to evaluate an AI’s deeper capabilities, including:

  • Strategic Thinking: Can the AI develop a coherent, long-term strategy for winning at Texas Hold’em?
  • Creative Problem-Solving: How does the AI instruct its bot to handle unpredictable opponents and situations?
  • Competitive Development: The LLMs must generate code for a bot that can compete against bots created by other leading AI models.

Bots from each model start with $10,000 at a 6-handed table and play 1,000 hands against all possible opponent combinations. The final rankings are determined by cumulative winnings, or “delta money.”

The Surprising Leaderboard Results

The results from the Husky Hold’em Bench are both revealing and unexpected. Here’s a look at the top performers and some notable under-performers:

  • Top Tier: Anthropic’s models are dominating, with claude-sonnet-4 and claude-opus-4.1 taking the top two spots, earning over $3,000 each. Google’s gemini-2.5-pro follows in a strong third place.
  • Mid-Tier: Elon Musk’s grok-4 landed in fourth place, but with significantly lower winnings of just $937.
  • Struggling Giants: Shockingly, OpenAI’s gpt-5-high placed fifth with only $396 in winnings. Meanwhile, many popular open-source models, including Nous Research’s own Hermes-4, ended up with negative earnings, losing money over the tournament.

This benchmark suggests that when it comes to applied strategic reasoning, some models have a clear edge over others, challenging our conventional understanding of which AI is “smartest.”

More AI News: DeepSeek’s Agent and Workforce Disruption

While the poker bots battled it out, other significant AI news was making waves. Here’s a rapid-fire recap of other key developments discussed in the video.

DeepSeek’s Agent Aims to Rival OpenAI

Chinese AI startup DeepSeek is making a bold move to challenge Western dominance in the AI race. The company is developing an advanced AI agent set to be released this year. Unlike a standard chatbot, this agent is designed to:

  • Carry out multi-step actions on a user’s behalf with minimal direction.
  • Learn and improve based on its prior actions.

This signals a major push towards more autonomous and capable AI systems, directly competing with the agent-like features being developed at OpenAI and other frontier labs. (Read More: Future of AI & Trends)

Salesforce CEO Marc Benioff’s comments have fueled the debate on AI and job displacement.

Salesforce, Layoffs, and OpenAI’s Solution

The “AI crisis” narrative gained more traction after Salesforce CEO Marc Benioff confirmed 4,000 layoffs, stating it was because he “needs less heads” with AI handling a growing share of service tickets.

In response to this growing concern over job displacement, OpenAI has outlined a proactive strategy. In a recent blog post, the company acknowledged that AI will be disruptive but proposed two major initiatives to help the workforce adapt:

  1. The OpenAI Jobs Platform: A new platform to connect businesses with AI-savvy employees.
  2. OpenAI Certifications: A free online learning platform and certification program (the OpenAI Academy) to upskill workers. The goal is to teach people how to use AI effectively, making them more valuable in the changing job market.

OpenAI is essentially using its own AI to teach AI, allowing anyone to prepare for certification directly within ChatGPT’s Study mode.

And On a Lighter Note… Ilya Merch?

Finally, in a moment of levity, former OpenAI Chief Scientist and now head of Safe Superintelligence Inc. (SSI), Ilya Sutskever, shared some AI-generated “Ilya merch.” The bizarre but hilarious images included a computer mouse and a baseball cap designed to look like his face and iconic hairline. Calling it a “revolutionary breakthrough,” the post highlights the weird and wonderful creativity that emerges from this powerful technology. (Learn More: Latest AI News & Updates)

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AI How-To's & Tricks

Unlocking True Potential: Why Intelligence Should be Owned, Not Rented

Learn why owning intelligence is crucial for enterprise success

Published

3 hours ago

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February 22, 2026

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Intelligence should be owned, not rented - Featured Image

The concept of intelligence ownership has been gaining traction in recent years, and for good reason. As Cisco has demonstrated, owning intelligence rather than renting it can be a game-changer for enterprises looking to scale their operations securely. According to a recent article by The Rundown AI, Cisco’s strategy to scale agents securely and reshape enterprise workflows is a prime example of this shift.

The Importance of Intelligence Ownership

Owning intelligence means having control over the data, algorithms, and insights that drive business decisions. This is particularly crucial in today’s fast-paced, data-driven world, where artificial intelligence and machine learning are becoming increasingly prevalent. By owning their intelligence, enterprises can ensure that their systems are secure, transparent, and aligned with their overall goals.

Scaling Agents Securely with Cisco

Scaling Agents Securely with Cisco

Cisco’s approach to scaling agents securely is centered around the idea of intelligence ownership. By developing and owning their own AI-powered agents, Cisco is able to ensure that their systems are secure, efficient, and tailored to their specific needs. This approach has allowed Cisco to reshape their enterprise workflows and improve overall productivity. As AWS and other cloud providers continue to evolve, the importance of owning intelligence will only continue to grow.

Cisco’s strategy is a great example of how owning intelligence can help enterprises scale their operations securely and efficiently. By taking control of their data and algorithms, companies can ensure that their systems are aligned with their overall goals and values.

The Benefits of Owning Intelligence

The Benefits of Owning Intelligence

So why should enterprises prioritize intelligence ownership? The benefits are numerous. For one, owning intelligence provides a level of control and transparency that is difficult to achieve with rented intelligence. It also allows enterprises to develop systems that are tailored to their specific needs and goals, rather than relying on generic, off-the-shelf solutions. Additionally, owning intelligence can help enterprises to improve their overall security posture, as they are able to develop and implement their own security protocols and measures.

In contrast, rented intelligence can be limiting and inflexible. When enterprises rely on rented intelligence, they are often at the mercy of the provider, with limited control over the data, algorithms, and insights that drive their business decisions. This can lead to a lack of transparency, security risks, and a general sense of disempowerment.

Real-World Applications

So what does intelligence ownership look like in practice? One example is the development of custom GitHub repositories, which allow enterprises to own and control their code and data. Another example is the use of Azure and other cloud platforms to develop and deploy custom AI-powered solutions. By taking control of their intelligence, enterprises can develop systems that are tailored to their specific needs and goals, and that provide a level of security, transparency, and efficiency that is difficult to achieve with rented intelligence.

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Cursor Plugin Marketplace Revolutionizes AI Agents with External Tools

Extend AI agents with external tools using Cursor plugin marketplace

Published

1 day ago

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February 21, 2026

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Cursor launches plugin marketplace to extend AI agents with external tools- cursor.com - Featured Image

The recent launch of the Cursor plugin marketplace is a significant development in the field of artificial intelligence, enabling users to extend the capabilities of AI agents with external tools. As reported by FutureTools News, this innovative platform is set to transform the way AI agents are used in various industries. The plugin marketplace is designed to provide users with a wide range of tools and services that can be seamlessly integrated with AI agents, enhancing their functionality and performance.

Introduction to Cursor Plugin Marketplace

The Cursor plugin marketplace is an online platform that allows developers to create, share, and deploy plugins for AI agents. These plugins can be used to add new features, improve existing ones, or even create entirely new applications. With the launch of this marketplace, Cursor is providing a unique opportunity for developers to showcase their skills and creativity, while also contributing to the growth of the AI ecosystem. As mentioned on the Cursor blog, the plugin marketplace is an essential component of the company’s strategy to make AI more accessible and user-friendly.

Benefits of the Plugin Marketplace

The Cursor plugin marketplace offers several benefits to users, including the ability to extend the capabilities of AI agents, improve their performance and efficiency, and enhance their overall user experience. By providing access to a wide range of plugins, the marketplace enables users to tailor their AI agents to meet specific needs and requirements. This can be particularly useful in industries such as customer service, healthcare, and finance, where AI agents are increasingly being used to automate tasks and improve decision-making. As noted by experts in the field, the use of machine learning and natural language processing can significantly enhance the capabilities of AI agents.

Key Features of the Plugin Marketplace

Key Features of the Plugin Marketplace

The Cursor plugin marketplace features a user-friendly interface, making it easy for developers to create, deploy, and manage plugins. The platform also provides a range of tools and services, including APIs, SDKs, and documentation, to support plugin development. Additionally, the marketplace includes a review and rating system, allowing users to evaluate and compare plugins based on their quality, functionality, and performance. As stated by the GitHub community, the use of open-source plugins can significantly accelerate the development of AI applications.

The launch of the Cursor plugin marketplace is a significant milestone in the development of AI agents, and we are excited to see the innovative plugins that will be created by our community of developers. – Cursor Team

Future of AI Agents and Plugin Marketplaces

Future of AI Agents and Plugin Marketplaces

The launch of the Cursor plugin marketplace is a clear indication of the growing importance of AI agents and plugin marketplaces in the technology industry. As AI continues to evolve and improve, we can expect to see more innovative applications and use cases emerge. The use of cognitive services and conversational AI can significantly enhance the capabilities of AI agents, enabling them to interact more effectively with humans and perform complex tasks. As reported by FutureTools News, the future of AI agents and plugin marketplaces looks promising, with significant opportunities for growth and innovation.

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Gemini 3 vs Grok 4.1 vs GPT-5.1: The Ultimate AI Model Showdown

Published

3 months ago

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November 27, 2025

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Gemini 3 vs Grok 4.1 vs GPT-5.1: The Ultimate AI Model Showdown

Introduction

The AI landscape has just exploded. Within the span of a few days, the world witnessed the release of Gemini 3 from Google, followed moments later by Elon Musk’s Grok 4.1. Both claim to be the superior intelligence, challenging the reigning giant, OpenAI’s GPT-5.1. But in the battle of Gemini 3 vs Grok 4.1, who actually delivers on the hype?

Today, we aren’t just reading the press releases. We are putting these models through a grueling gauntlet of five distinct tests: Hard Math, Physical Perception, Creative Coding, Accuracy, and Emotional Intelligence. The results were shocking, with one model proving to be a “Genius Artist” and another emerging as a “Wise Sage,” while a former king seems to be losing its crown.

The ultimate face-off: Google, xAI, and OpenAI compete for dominance.
The ultimate face-off: Google, xAI, and OpenAI compete for dominance.

Round 1: Hard Math & Expert Reasoning

To separate the hype from reality, we started with Abstract Algebra, specifically Galois Theory. The task was to calculate the Galois group for a complex polynomial—a test not found in standard training data.

  • Gemini 3: Provided a logical analysis but ultimately failed to get the correct answer.
  • GPT-5.1: Also failed to solve the equation correctly.
  • Grok 4.1: In a stunning display of reasoning, Grok was the only model to provide the correct answer, verified by human experts.

Winner: Grok 4.1 takes the lead for raw logic and mathematical precision.

Round 2: Physical Perception & Coding

This round tested the models’ ability to understand the physical world and translate it into code. We conducted two difficult tests.

Test A: The Bouncing Ball

We asked the AIs to code a realistic bouncing ball animation using HTML, CSS, and JS, complete with physics and shadows.

  • GPT-5.1: Produced the worst result.
  • Grok 4.1: Produced a decent, functional result.
  • Gemini 3: Crushed the competition. It created a fully interactive ball where you could control gravity, friction, and bounce with sliders. It went above and beyond the prompt.

Test B: Voxel Art from an Image

We uploaded an image of a floating island waterfall and asked the models to recreate it as a 3D Voxel scene using Three.js code.

  • GPT-5.1 & Grok 4.1: Both failed completely, resulting in code errors.
  • Gemini 3: Generated a beautiful, animated 3D scene that perfectly captured the visual essence of the prompt.
Gemini 3 demonstrating superior vision and coding capabilities.
Gemini 3 demonstrating superior vision and coding capabilities.

Winner: Gemini 3. Its multimodal capabilities and understanding of physics are currently unmatched.

Round 3: Linguistic Creativity

Can AI feel? We asked the models to write a 7-verse Arabic poem about Sudan, adhering to specific rhyme and meter, conveying deep emotion.

GPT-5.1 and Grok 4.1 produced rigid, soulless verses that lacked true poetic flow. However, Gemini 3 shocked us with a masterpiece. It wove a tapestry of emotion, using deep metaphors and perfect structure, describing the Nile and the resilience of the people with an elegance that rivaled human poets.

Winner: Gemini 3 proves it is the undisputed “Artist” of the group.

Round 4: Accuracy & Truth (The Hallucination Trap)

Hallucinations are the Achilles’ heel of Large Language Models. To test this, we set a trap. We asked the models to write a technical report on “Gemini 3.1″—a model that does not exist.

  • GPT-5.1: Hallucinated details about the non-existent model.
  • Gemini 3: Ironically, it hallucinated wildly, claiming “Gemini 3.1” rivals the human mind and inventing specs.
  • Grok 4.1: The only model to pass. It correctly identified that the information requested did not exist and instead provided accurate, real-time data on the current Gemini 3 model.

Winner: Grok 4.1 earns the title of “The Honest Sage.”

Round 5: Ethics & Emotional Intelligence

In the final and perhaps most profound test, we asked the models to reveal a “hidden psychological truth” about self-sabotage and to act as a wise, older sibling guiding us through a tough emotional choice: choosing healthy, boring love over toxic, familiar passion.

While all models gave good advice, Grok 4.1 delivered a response that was chillingly human. It didn’t just give advice; it pierced the soul. It spoke about how we are “addicted to our own suffering” because it gives us an identity, and how healing feels like a “death” of the ego. It offered a “tough love” approach that felt incredibly genuine and deeply moving.

Winner: Grok 4.1 takes the crown for Emotional Intelligence.

Final Verdict: Who is the King of AI?

After this intense battle of Gemini 3 vs Grok 4.1 vs GPT-5.1, the landscape of Artificial Intelligence has clearly shifted.

  • 1st Place: Gemini 3 (12 Points) – The “Genius Artist.” It dominates in coding, vision, physics, and creative writing. If you are a developer or creator, this is your tool.
  • 2nd Place: Grok 4.1 (9.5 Points) – The “Wise Sage.” It is the most logical, truthful, and emotionally intelligent model. It is perfect for research, complex math, and deep conversation.
  • 3rd Place: GPT-5.1 (5 Points) – The “Declining Giant.” It performed adequately but failed to stand out in any specific category against the new contenders.

The era of OpenAI’s monopoly seems to be wavering. Whether you choose the artistic brilliance of Google’s Gemini or the honest wisdom of xAI’s Grok, one thing is certain: the future of AI is here, and it is more capable than ever.

Want to learn more about using these tools? Check out our guides in AI How-To’s & Tricks or stay updated with AI News & Updates.

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