OPENAI

OpenAI Price

OPENAI
$0
+$0(0.00%)
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*Data last updated: 2026-05-01 13:03 (UTC+8)

As of 2026-05-01 13:03, OpenAI (OPENAI) is priced at $0, with a total market cap of --, a P/E ratio of 0.00, and a dividend yield of 0.00%. Today, the stock price fluctuated between $0 and $0. The current price is 0.00% above the day's low and 0.00% below the day's high, with a trading volume of --. Over the past 52 weeks, OPENAI has traded between $0 to $0, and the current price is 0.00% away from the 52-week high.

OPENAI Key Stats

P/E Ratio0.00
Dividend Yield (TTM)0.00%
Shares Outstanding0.00

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OpenAI (OPENAI) Latest News

2026-05-01 05:13

OpenAI CFO Dismisses Revenue Target Rumors, Says Company Executing at Highest Level on May 1

According to Bloomberg, OpenAI Chief Financial Officer Sarah Friar dismissed rumors on May 1 that the company had missed internal sales and user targets. Friar stated the firm is executing its plans at the highest level, describing product demand as a "vertical wall." She noted that execution methods vary by period given the nascent nature of the industry and the difficulty in perfectly forecasting all metrics.

2026-05-01 04:01

Musk's Advisor Discloses xAI's $974B Bid for OpenAI Nonprofit Assets in Court, Raising Fresh Scrutiny

According to Jared Birchall's testimony on day 4 of Musk's OpenAI lawsuit, xAI's $974 billion bid for OpenAI's nonprofit assets aimed to prevent Sam Altman from undervaluing the assets during OpenAI's restructuring. However, Judge Yvonne Gonzalez Rogers questioned how Birchall could present a $974 billion offer without clearly explaining who determined the valuation or which parties were involved in discussions. OpenAI's lawyers argued the testimony should be excluded, citing potential influence from legal counsel. The Verge noted that Musk's legal team may have inadvertently opened the door for OpenAI to further investigate the xAI bid's underlying materials.

2026-05-01 03:48

Musk Admits xAI Used Distillation on OpenAI Models During Trial Day 4

According to Beating and The Verge, on Day 4 of the trial between Musk and OpenAI, OpenAI's lawyers questioned whether xAI had used distillation to improve its models using OpenAI's technology. Musk initially stated that "almost all AI companies do this," but when pressed for a direct answer, acknowledged "partially yes." Distillation is a training technique where one AI model's outputs are used to train another model; OpenAI's terms prohibit using its service outputs to develop competing models.

2026-04-30 05:35

OpenAI Announces GPT-5.5-Cyber Cybersecurity Model Launch in Coming Days

According to Cointelegraph, Sam Altman announced OpenAI will launch GPT-5.5-Cyber, a cybersecurity model, in the coming days. The model will be made available to critical cybersecurity defenders, with OpenAI planning to establish trusted access mechanisms in collaboration with government entities to protect enterprise and infrastructure security.

2026-04-30 05:30

OpenAI to Operate as Perpetually Low-Profit Company, Signs 20-Year Power Deal

According to Odaily, OpenAI CEO Sam Altman stated at Stripe Sessions that OpenAI aims to become a perpetually low-profit yet massive and fast-growing infrastructure company, offering products similar to an "intelligent meter" that users can purchase to automate business operations or embed into their services. Altman compared OpenAI's model to Stripe, emphasizing a usage-based fee structure where both Stripe and users benefit as the internet scales. Altman revealed that OpenAI has signed 20-year power and land contracts to support this strategy. He acknowledged that AI's low switching costs make platform migration easy, citing users' recent shift from competing programming tools to Codex as evidence.

Hot Posts About OpenAI (OPENAI)

CryptoCity

CryptoCity

27 minutes ago
![](https://img-cdn.gateio.im/social/moments-61d03150ab-b83413ff58-8b7abd-e5a980) A 23-year-old amateur enthusiast, with the assistance of GPT-5.4 Pro, unraveled the Erdős mathematical conjecture that had been unsolved for 60 years (#1196). The model connected integer structures through interdisciplinary Markov processes, proposing a proof path that humans had never attempted. According to an official announcement from OpenAI on April 28 and an in-depth report by Scientific American on April 24, a 60-year-old Erdős mathematical conjecture (numbered #1196) was solved with the help of the flagship reasoning model GPT-5.4 Pro. On the same day, OpenAI held an official podcast featuring researcher Sébastien Bubeck and Ernest Ryu in conversation with host Andrew Mayne, publicly explaining the event details and significance. Main figure of the event: 23-year-old amateur Liam Price ----------------------- Solver Liam Price, 23, with no advanced mathematics training, occasionally collaborates with Kevin Barreto, a second-year mathematics student at Cambridge University. Price stated: "I didn't even know what this problem was—I just sometimes throw Erdős problems to AI to see what it comes up with." In the afternoon of a Monday in April 2026, Price submitted the Erdős #1196 thread for community review. Scientific American published an in-depth report on April 24, and OpenAI’s official podcast on April 28 was a week later, providing an external explanation. Mathematical breakthrough: Connecting integer structures via Markov processes, Tao comments "the first step humans took was wrong" -------------------------------------- Erdős #1196 falls within the research scope of "primitive sets"—a collection of integers where no element divides another. Erdős's conjecture states: as the elements of such a set approach infinity, the maximum of the "Erdős sum fraction" will drop exactly to 1. GPT-5.4 Pro’s proof takes an approach "humans have never tried before": linking the structure of integers (anatomy of integers) with Markov process theory. This interdisciplinary bridge was previously not part of anyone’s research path. Fields Medalist and renowned mathematician Terence Tao made two widely cited comments on this event. He described "this problem is different from others—humans have indeed seen it, but collectively, they took the wrong first step," and added, "the significance of this contribution to the study of integer structures far exceeds solving this particular Erdős problem itself." Another mathematician from Stanford University, Jared Duker Lichtman, stated that AI’s approach confirmed his long-standing intuition: there exists a "certain common sense of unity among these problems." OpenAI 4/28 Disclosure: Podcast discussion and subsequent verification ------------------------------ On April 28, OpenAI officially invited researcher Sébastien Bubeck and Ernest Ryu to discuss "AI’s role in mathematical research" with host Andrew Mayne on their podcast. OpenAI’s tweet read: "Earlier this month, a 60-year-old Erdős problem was solved with GPT-5.4 Pro’s help. Now AI is good at math—what will happen next?" As of this writing, the proof submitted by Price remains in the community verification stage on the erdosproblems.com forum and has not yet passed formal peer review; TheDecoder reported on April 15 that "formal verification is still ongoing." The podcast disclosure today is an external communication level, not an indication that the full mathematical proof has been verified—readers interested in follow-up can monitor thread #1196 on the Erdős Problems forum. * This article is reprinted with permission from: 《Chain News》 * Original title: "23-year-old amateur uses ChatGPT to solve 60-year-old math problem: cracked in 80 minutes" * Original author: Elponcrab
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