OpenAI Officially Launches GPT-5 Language Model, Showcasing Advancements in AI Capabilities

OpenAI has officially launched its highly anticipated GPT-5 language model, featuring the o1-preview and o1-mini models. The release marks a significant advancement in AI capabilities, with GPT-5 demonstrating near-human reasoning abilities and proficiency in STEM fields.

OpenAI officially launched its much-anticipated GPT-5 language model on September 12, 2024, making it available to the public. The highly capable model, particularly in reasoning and problem-solving tasks, has sparked significant interest in its performance across various domains.

GPT-5 Demonstrates Strong Performance in STEM Fields

OpenAI has highlighted GPT-5’s remarkable performance on several benchmark tests, especially in STEM subjects. The new model showcased near-human reasoning abilities in physics, chemistry, and biology. According to OpenAI's data, GPT-5 performed at the level of PhD students in these disciplines, showcasing its strength in handling complex academic tasks.

Moreover, the model ranked among the top 500 students in the United States Math Olympiad qualifier, demonstrating its proficiency in mathematical problem-solving. GPT-5 even placed in the 89th percentile on Codeforces, a competitive coding platform, showcasing its capabilities in programming.

NEAR Protocol Price Drops Amid Cooling Derivatives Market

In other news, various AI tokens are experiencing price movements. NEAR Protocol is currently trading at $4.61, with a 24-hour trading volume of $244,795,709. The token's price has seen a slight decrease of 0.55% in the last 24 hours, and its market capitalization is $5,597,647,460. The circulating supply of NEAR Protocol is 1,213,974,369 coins.

The derivatives market for NEAR Protocol seems to be cooling down. Its trading volume has decreased by 12.87% to $282.56 million, and open interest has dropped by 2.50% to $203.83 million. While Binance and OKX are showing positive sentiment with long/short ratios around 2.4, the market appears to be volatile, with increasing liquidations, particularly in long positions, to the tune of $513,060 in the last 24 hours.

Bittensor Price Falls as Trading Activity Surges

Bittensor (TAO) is currently priced at $564.54, with a 24-hour trading volume of $187,095,453. Bittensor's price has decreased by 3.10% in the last 24 hours, and its market capitalization now stands at $4,166,833,251. The circulating supply of Bittensor's TAO coins is 7,380,936.

TAO derivatives have seen a surge in trading activity. Volume has jumped by 35.48% to $438.95 million, though open interest has edged down slightly by 2.26%, suggesting some traders are closing positions. The long/short ratio across most platforms points to mixed market sentiment, with a slight lean towards bearishness. On OKX, traders appear to be more bullish, with a ratio of 1.37. However, liquidations, especially in long positions, are on the rise, with $639,900 liquidated in the last 24 hours, indicating growing volatility in the market.

Internet Computer Derivatives Heat Up with Rising Volume, Liquidations

Internet Computer (ICP) is trading at $8.08, up 2.23% in the last 24 hours, with a market capitalization of $3,814,584,282. The coin's circulating supply is 472,140,124 ICP coins.

The derivatives market for ICP has also picked up, with trading volume increasing by 31.13% to $57.12 million and open interest climbing by 5.09% to $45.12 million. Despite generally bearish sentiment, traders on Binance appear to be more bullish, with a long/short ratio of 2.7594. However, long positions are facing pressure, with $43,520 liquidated in the past 24 hours.

Artificial Superintelligence Alliance (FET) Price Drops, Derivatives See Increased Volume

Artificial Superintelligence Alliance is currently priced at $1.33, with a 24-hour trading volume of $172,757,737. The coin has decreased by 1.58% in the last 24 hours, leading to a market cap of $3,344,146,589. Its circulating supply is 2,520,000,000 FET coins, with a maximum supply of 2,719,493,897 coins.

FET derivatives