openai launches amd while nvidia expands its platform

OpenAI is actively exploring alternative chip suppliers like Advanced Micro Devices (AMD), Cerebras, and Groq to enhance the speed and efficiency of its real-time AI tasks, known as inference. This move stems from the company's reported dissatisfaction with the performance of some of Nvidia's latest chips for generating quick AI responses in applications like ChatGPT. While Nvidia remains a leader in training large AI models, OpenAI has been seeking additional sources for inference chips since last year, even making deals with other companies in October.

Despite these explorations, both OpenAI CEO Sam Altman and Nvidia CEO Jensen Huang publicly affirm their ongoing partnership. Huang stated that Nvidia's planned investment in OpenAI is "on track" and will be part of the largest private fundraising round ever, though he clarified that a previously discussed $100 billion investment figure was never a firm commitment. Nvidia also acquired Groq's intellectual property in December, a company OpenAI had discussed working with for faster chips.

In other AI developments, Docker recently fixed a critical security flaw, named "DockerDash" by Noma Security, in its Ask Gordon AI assistant. This vulnerability, addressed in version 4.50.0, could have allowed attackers to execute harmful code and steal private information by exploiting how the AI assistant processed unverified image metadata. This incident underscores the growing need for robust security measures within AI supply chains.

The broader AI industry is seeing varied trends. CGI's head of AI anticipates his job title will soon disappear as AI becomes an integral part of all business functions, with the company already achieving five times faster automated testing using enterprise ChatGPT and exploring platforms like Google Gemini and Anthropic Claude. Entrepreneur Ravi Sawhney launched PA.AI to tackle the high failure rate of enterprise AI projects, aiming to ensure AI systems align with human values and business goals through better human oversight and clear objectives.

OpenAI CEO Sam Altman continues to drive rapid AI advancements, including the launch of ChatGPT in 2022, despite some internal and external concerns about the pace and claims regarding Artificial General Intelligence (AGI). Meanwhile, market anxieties on February 3, 2026, saw Bitcoin fall below $73,000 and US stocks decline, partly due to worries about AI's impact on software companies. Practical insights suggest AI sales agents excel at scaling proven playbooks 24/7, rather than inventing new strategies, as learned by SaaStr. OpenAI also outlined its "Sora feed philosophy," focusing on creativity, user control, safety, and personalization based on user activity and ChatGPT data.

Key Takeaways

  • OpenAI is seeking alternative chip suppliers, including AMD, Cerebras, and Groq, for AI inference tasks due to reported dissatisfaction with some Nvidia chips' speed.
  • Nvidia CEO Jensen Huang confirmed continued investment in OpenAI but clarified a previously discussed $100 billion investment was not a firm commitment.
  • Nvidia acquired Groq's intellectual property in December, a company OpenAI had considered for faster chips.
  • Docker fixed a critical "DockerDash" security flaw in its Ask Gordon AI assistant (version 4.50.0) that allowed remote code execution and data theft.
  • CGI's head of AI expects his role to become obsolete as AI integrates into all business functions, with the company achieving five times faster automated testing and exploring Google Gemini and Anthropic Claude.
  • Ravi Sawhney launched PA.AI to address the 60-70% failure rate of enterprise AI projects by focusing on human oversight and goal alignment.
  • OpenAI CEO Sam Altman continues to rapidly advance AI, including ChatGPT, despite some concerns about the pace and claims regarding Artificial General Intelligence (AGI).
  • On February 3, 2026, Bitcoin fell below $73,000 and US stocks declined, partly due to worries about AI's impact on software companies.
  • AI sales agents are most effective at scaling proven playbooks 24/7, rather than inventing new strategies or discovering customer needs.
  • OpenAI's Sora feed philosophy prioritizes creativity, user control, safety, and personalization based on user activity and ChatGPT data.

OpenAI seeks chip alternatives for faster AI inference

OpenAI is exploring new chip suppliers beyond Nvidia to improve the speed and efficiency of its real-time AI tasks, known as inference. While Nvidia remains strong for training large AI models, OpenAI has discussed options with Advanced Micro Devices AMD, Cerebras, and Groq. This move reflects a broader industry shift towards specialized hardware for consumer-facing AI. Both OpenAI CEO Sam Altman and Nvidia CEO Jensen Huang affirm their ongoing partnership despite these explorations.

OpenAI seeks faster chips for AI responses

OpenAI is looking for alternative chips because it is not fully satisfied with Nvidia's speed for certain AI tasks. The company needs faster "inference" chips to help its ChatGPT app respond quickly to user questions. While Nvidia still leads in chips for "training" AI models, OpenAI has discussed deals with AMD, Cerebras, and Groq. This search for new hardware has also slowed down Nvidia's planned $100 billion investment in OpenAI. Nvidia CEO Jensen Huang denies any tension and says they will still invest.

OpenAI looks for new chips to power AI

OpenAI is reportedly unhappy with some of Nvidia's latest chips and is exploring other options for its AI work. This change is due to the growing need for specialized chips that can quickly handle "inference" tasks, which means generating AI responses for users. Industry experts see this as a big challenge to Nvidia's strong position in AI hardware. Nvidia CEO Jensen Huang confirmed his company will continue to invest in OpenAI, calling it a good investment.

Nvidia's $100 billion OpenAI investment deal fades

Nvidia's plan to invest up to $100 billion in OpenAI's AI infrastructure, announced in September 2025, has not closed. Nvidia CEO Jensen Huang now says the $100 billion figure was never a firm commitment. Reuters reports that OpenAI has been looking for alternative chips since last year, finding some Nvidia chips too slow for "inference" tasks. OpenAI has discussed working with Cerebras and Groq for faster chips, and Nvidia acquired Groq's intellectual property in December. Both companies have publicly tried to downplay any issues.

Nvidia CEO denies OpenAI deal drama

Nvidia CEO Jensen Huang told CNBC that his company's plan to invest in OpenAI is "on track" and there is "no drama." He confirmed Nvidia will invest in OpenAI's next fundraising round, which he called the largest private round ever. OpenAI CEO Sam Altman also stated that Nvidia makes the best AI chips and OpenAI hopes to remain a big customer. Despite this, OpenAI has been making chip deals with Nvidia's competitors to meet the high demand for its products like ChatGPT.

OpenAI seeks new chips for better AI performance

OpenAI is reportedly looking for alternative chips because it is "unsatisfied" with Nvidia's latest AI chips. Eight sources told Reuters that OpenAI finds Nvidia's chips lacking in "inference" performance, which is the "thinking" process AI models do. The company has been seeking other suppliers since last year. OpenAI has already made deals with other companies in October to get additional chip sources.

Docker fixes major security flaw in Ask Gordon AI

Docker has fixed a serious security flaw called "DockerDash" in its Ask Gordon AI assistant, found by Noma Security. This flaw could let attackers run harmful code and steal private information. The problem happened because the AI assistant treated unverified image metadata as commands, allowing them to be executed without checking. Docker addressed this vulnerability in version 4.50.0 of Ask Gordon. This issue highlights the need for strong security in AI supply chains.

Noma Security finds critical flaw in Docker AI

Noma Security discovered a critical security flaw, named DockerDash, in Docker's Ask Gordon AI assistant. This flaw could allow attackers to fully compromise a Docker environment and steal data. The AI assistant's Model Context Protocol Gateway could not tell the difference between normal metadata and harmful instructions embedded in Dockerfile LABEL fields. This "Meta-Context Injection" attack could lead to remote code execution or data theft from Docker Desktop. The issue shows that developers need to understand the risks of AI tools.

Fallout producer Jonathan Nolan discusses AI future

Jonathan Nolan, producer of the show "Fallout," shared his thoughts on AI and the future. He believes AI will not replace human filmmakers but could help new directors. Nolan also hopes for the decline of most social media. He mentioned his love for classic cars and the author Iain Banks, who wrote about hybrid civilizations of people and AI. Nolan feels we are in a "frothy moment" regarding AI's current state.

CGI AI head expects job title to vanish soon

CGI's head of AI believes his job title will disappear as AI becomes common in businesses. He compares it to not having a "head of the internet" today. He is helping all CGI staff, including finance and HR teams, use AI tools like enterprise ChatGPT to improve their daily work. The company has seen big productivity gains, like five times faster automated testing. CGI is also exploring other AI platforms like Google Gemini and Anthropic Claude in different regions.

Ravi Sawhney launches PA.AI to fix failing AI projects

Ravi Sawhney, an entrepreneur, launched PA.AI, a new platform for managing human intelligence in AI projects. This comes as 60-70% of enterprise AI initiatives fail due to human issues, unclear goals, and adoption risks. PA.AI aims to ensure AI systems align with human values and business goals by providing tools for clear objectives and human oversight. Sawhney believes that success in AI depends on how humans interact with and govern the technology. The platform helps define goals, manage risks, and improve collaboration.

Sam Altman pushes AI forward despite concerns

OpenAI CEO Sam Altman is known for getting what he wants, especially in the AI world. He quickly launched ChatGPT in 2022, securing huge investments from companies like Microsoft and Nvidia. However, some, including Microsoft CEO Satya Nadella, disagree with Altman's claims about being "very close" to Artificial General Intelligence AGI. Employees also feel the company is moving too fast and missing opportunities. Altman continues to push forward, but he might start hearing "no" more often.

Coda versus Notion choosing the right tool

This guide helps users choose between Coda and Notion, two all-in-one document tools, by October 2026. Coda is seen as an "app builder" where documents are built on powerful tables, allowing for custom applications and automated workflows. Notion is a "digital canvas" based on blocks, making it flexible and easy to create knowledge bases and notes. The article also introduces "AI-native workflow" as a key factor for decision-making. Understanding their core design helps teams pick the best tool for their needs.

OpenAI shares principles for Sora feed

OpenAI has outlined its "Sora feed philosophy" with principles to inspire creativity and learning. The feed aims to optimize for creativity, give users control with steerable ranking, and prioritize connections. It also balances safety and freedom, using robust rules to prevent harmful content while allowing expression. Sora's recommendation algorithms personalize content based on user activity, ChatGPT data, and engagement signals. Parents can also manage feed personalization and continuous scroll for teens through ChatGPT parental controls.

Bitcoin and stocks fall amid AI and global worries

On February 3, 2026, markets saw a nervous mood as Bitcoin hit its lowest level since November 2024, falling below $73,000. US stocks also stumbled, with the Dow, S&P 500, and Nasdaq all closing lower. This decline was fueled by worries about AI's impact on software companies and rising global tensions. Gold and silver, seen as safe investments, surged higher. Investors are closely watching corporate earnings and how companies will profit from AI spending.

Avoid common mistakes with AI sales agents

Many companies make a big mistake by thinking AI sales agents can solve problems their human teams haven't figured out yet. AI agents are great at scaling existing, proven playbooks 24/7, like sending perfected email sequences or qualifying leads. However, they cannot invent new strategies or discover customer needs. SaaStr learned this by treating their AI SDRs like new hires, cloning their best human's methods. The key to success is giving AI agents a proven playbook to run faster, not asking them to create one from scratch.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

OpenAI Nvidia AI Chips AI Inference ChatGPT AI Security Docker Ask Gordon AI Vulnerability AI Future Enterprise AI AI Project Management AI Governance Sam Altman Jensen Huang Sora AI Sales Agents AMD Cerebras Groq Investment Artificial General Intelligence AI Adoption Workflow Automation Content Moderation Productivity

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