OpenAI has just released two open-weight language models for the first time since it rolled out GPT-2 in 2019. The move marks a significant step in transitioning toward greater transparency and community collaboration.

According to OpenAI, the text-only models, gpt-oss-120b and gpt-oss-20b, are apt at advanced reasoning and can run on laptops with performance levels similar to its smaller proprietary reasoning models. These models serve as lower-cost options that can be easily run and customized.

Artificial intelligence models are deemed as overweight if their trained parameters or weights are publicly accessible. While they offer transparency and control, they differ from open source models whose full-source code is available to use or modify.

“One of the things that is unique about open models is that people can run them locally. People can run them behind their own firewall, on their own infrastructure,”

-OpenAI co-founder Greg Brockman said in a press briefing.

“It’s been exciting to see an ecosystem develop, and we are excited to contribute to that and really push the frontier and then see what happens from there.”

OpenAI has collaborated with Nvidia, Advanced Micro Devices, Cerebras, and Groq to allow its models to work well on a variety of chips.

“OpenAI showed the world what could be built on Nvidia AI — and now they’re advancing innovation in open-source software.”

-Nvidia CEO Jensen Huang said in a statement.

For this article, we selected AI stocks by going through news articles, stock analysis, and press releases. These stocks are also popular among hedge funds. The hedge fund data is as of Q1 2025.

Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter’s strategy selects 14 small-cap and large-cap stocks every quarter and has returned 373.4% since May 2014, beating its benchmark by 218 percentage points  (see more details here).

15. SoundHound AI, Inc. (NASDAQ:SOUN)

Number of Hedge Fund Holders: 18

SoundHound AI, Inc. (NASDAQ:SOUN) is one of the Top 15 AI Stocks Taking Wall Street by Storm. On August 5, the company announced that its Gen-AI enabled advanced voice assistant, SoundHound Chat AI Automotive, has been deployed to vehicles from three major global automotive brands across North America.

The integration will enable major brands from a prominent global automotive group to be able to enjoy state-of-the-art conversational AI capabilities. According to Soundhound, the SoundHound Chat AI Automotive is capable of recognizing natural human speech and leveraging generative AI to carry out highly intelligent, and conversationally fluid responses.

This will enable customers to move from traditional voice assistant controls like navigation to more versatile conversational experiences. Drivers can enjoy conversations related to trip planning, storytelling, fun quizzes, and even tips from the vehicle manual. They can even ask follow-up questions and  receive contextually relevant responses.

According to recent research, in-car voice commerce has the potential to unlock up to $35 billion annually for automakers.

SoundHound AI, Inc. (NASDAQ:SOUN) is a voice artificial intelligence company offering voice AI solutions to businesses.

14. Super Micro Computer, Inc. (NASDAQ:SMCI)

Number of Hedge Fund Holders: 40

Super Micro Computer, Inc. (NASDAQ:SMCI) is one of the Top 15 AI Stocks Taking Wall Street by Storm. On August 6, Barclays analyst George Wang raised the price target on the stock to $45.00 (from $29.00) while maintaining an Equalweight rating.

Analysts at Barclays noted that revenue challenges at SMCI stemming from capital constraints have been resolved, with large customer orders slated for recognition in the September and December quarters. Bottlenecks, however, remain.

“However, bottlenecks in growth remain with implied FY revenue cadence more back-end loaded (given FQ1 top-line guidance of only ~$6.5Bn at the midpoint with FY26 revenue guidance of at least $33Bn). Chip and resource availability, as well as customers waiting for GB300s are driving the bottleneck.”

SMCI did introduce its DCBBS (Data Center Building Block Solutions) in the previous quarter, anticipating increasing customer adoption throughout fiscal 2026. The solution is not only attractive to customers but is also likely to be margin accretive over time.

The firm also discussed SMCI’s gross margins miss.

“GM missed in the Q and FQ1 margin guidance was weaker than expected, due to product customer mix and production ramp learning curves, respectively. Two main drivers to improve GM, according to management, are both DCBBS and having fast time-to-market capabilities. We model sequential growth throughout FY26 to account for Blackwell ramp and forecast 11.3% GM, roughly flat (10bps improvement) from FY25, given competitive environment and manufacturing challenges and complexities cited for the flat Q/Q FQ1 GM (despite almost ~$1Bn incremental revenue).”

Super Micro Computer, Inc. (NASDAQ:SMCI) designs and manufactures high-performance server and storage solutions for data centers, cloud computing, AI, and edge computing worldwide.