chatGPT · 998

OpenAI cuts GPT-5.6 Sol API price, long context output price reduced by 50%

In comparison, OpenAI announced a limited-time reduction in GPT-5.6 Sol's API and credit prices, and the discount will last at least until November 21. Among them, the standard short context API reduced the token price per million inputs from $5 to $4, the output from $30 to $20; the long context input dropped from $10 to $8; and the output dropped from $60 to $30. The new API price is now in effect, and the credit prices for ChatGPT Work and Codex will be adjusted over time. Plus, Pro, and Business subscriptions keep their own usage limits. Previously, OpenAI had lowered the GPT-5.6 Terra and Luna prices respectively. After Sol's price reduction, all three models in the GPT-5.6 series have completed a round of price adjustments.

20h ago

The reduction in the Codex quota is still being investigated. OpenAI will first send a reset to all users

Comparative News, AI News, and Tibo Sottiaux, head of OpenAI Codex, has responded to the quota reduction controversy. He added that OpenAI has not found any abnormalities in the overall usage system so far, but the investigation continues. The previous response about sub2api was only explaining a specific situation discovered by the team. It cannot be used to explain the problem that all user quotas suddenly dropped faster. That's a little bit awkward. A few hours ago, Tibo just claimed that a number of affected users were converting subscriptions into APIs through sub2api and then distributing them to multiple people, thus triggering an anti-fraud system. Now he has also made it clear that the faster consumption of the quota itself has not been clarified. In other words, it is currently not possible to simply attribute this round of controversy to anti-generation or subscription sharing. Meanwhile, Codex has surpassed 20 million active users this week. To celebrate this number, OpenAI will issue a Banked Reset to all Codex and ChatGPT Work users, which can be saved first and then restored once at a time of their choosing. CNBC also previously reported that OpenAI's AI programming and work products have reached 20 million weekly active users. OpenAI still has no answer as to whether the quota has been uniformly adjusted. It was only this time that they clarified that sub2api was one of the problems found in their investigation, not the final conclusion of this round of quota reduction.

1d ago
Black eats black? Fake DeFi actually snatched out North Korea's Lazarus real hacker

Black eats black? Fake DeFi actually snatched out North Korea's Lazarus real hacker

Source: Security Company ANY.RUN Compiled by: Daily Planet Daily Original title: Fishing Show of the Year, Fake DeFi Picks Out North Korea's Lazarus, Real Madrid Fans, Real Madrid Fans. With a mathematical background, they only use AI to write code. Core point of view: By setting up a fake DeFi company, the security agency successfully infiltrated the “Famous Chollima” hacker group under North Korea's Lazarus Group, revealed its complete process of using false identities, AI tools, and remote collaboration to infiltrate Western companies, and revealed its evolving toolset and infrastructure. Key element: The researchers disguised themselves as recruiters and recruited three North Korean agents within a few months to record their operation behavior, tool usage, and collaboration patterns in real time through the ANY.RUN sandbox environment. Agents used forged driver's licenses, stolen social security numbers, and mule accounts to complete the onboarding process. Some of these documents were processed by Google Gemini and had SynthID watermarks, revealing signs of forgery. Attackers rely on AI tools such as ChatGPT and Google Gemini to encode, translate, and modify files, and use AstrillVPN, remote desktop software, and dedicated servers to covertly access corporate environments. The three agents showed insufficient skills during development, frequently searched for basic issues, and exposed more proxy server and infrastructure information induced by selective network outages and captcha. The investigation found that Famous Chollima aims to lurk within the enterprise for a long time and legally obtain access to code, systems, and intellectual property rights, and is not limited to short-term attacks, and the threat persists significantly. Crypto friends who are often phished have probably heard of the North Korean hacker group Lazarus Group. Its well-known “campaigns” include, but are not limited to: Bybit ($1.5 billion) theft, Ronin Network/Axie Infinity Bridge attack ($6.2 billion), DMM Bitcoin/Ginco related attack ($308 million), Harmony Horizon Bridge attack ($100 million), and Atomic Wallet attacks ($100 million), etc. And the key to the success of these attacks is social engineering — hackers usually disguise themselves as normal job applicants, lurk at crypto companies for years, and wait for the right time. Recently, security agency ANY.RUN joined forces with BCA LTD (a company dedicated to threat intelligence and hunting) and NorthScan (a threat intelligence program to uncover the infiltration of North Korean IT workers) to effectively crack down on North Korean hacker agents. The researchers created a fake DeFi startup and successfully recruited “Famous Chollima” agents under North Korea's Lazarus Group who specialize in human infiltration, to gain an inside perspective on the actions of North Korea's IT workers. The ANY.RUN sandbox environment shows the agent's behavior patterns in real time, revealing their evolving toolsets, remote access workflows, AI tool usage, and supporting infrastructure. This survey went beyond the simple recruitment process and showed in depth how these agents collaborated, obtained, and used company resources after joining the company. The findings suggest that the North Korean IT worker program not only poses a recruitment risk; once agents sneak inside the organization, they can legally obtain access to code, systems, intellectual property, and critical business processes. The following is a report co-authored by the three parties, compiled by Daily Planet Daily. ——————Introduction In December of last year, we fully recorded the infiltration cycle of “Famous Chollima” for the first time. From recruiting collaborators to help them join Western companies, to falsifying documents, shipping laptops to intermediaries, and even using AI tools to assist and translate in real time during interviews, everything is under control. In that survey, we pretended to be a middleman willing to interview them and lend them a laptop in exchange for a percentage of their salary. The point is that those laptops are actually ANY.RUN sandbox environments that record every click and every step they take. This provided us with massive metrics, hours of computer operation videos, and face-to-face contact images, making an unprecedented survey and making headlines in many media. (“Famous Chollima...

1d agoOdaily星球日报#wallet security #hacks

Yu Shu Wang Xing: It may take 2 to 10 years for ChatGPT to become intelligent

Comparatively, at the 2026 World Robotics Conference, Wang Xingxing, founder and chairman of Yushu Technology, delivered a keynote speech entitled “From Exhibits to Products: The Next Ten Years of the Humanoid Robot Industry”. He said that in recent years, the company has continued to promote robots into our lives, including implementing applications in automobile factories, deploying simple tests in our own factories, and AI teams promoting robots to work at home, but since overall efficiency and versatility are still not high enough, they have not been promoted on a large scale. Wang Xingxing believes that moving towards an intelligent ChatGPT moment would ideally take 2 to 3 years, or 5 to 10 years longer. Reaching this point means that in 80% of unfamiliar scenes, robots can successfully complete about 80% of tasks through voice or text commands. Currently, the core challenge is aligning the input and output of a large AI model with a real robot.

2d ago

Florida sues OpenAI and Sam Altman, accusing ChatGPT of public nuisance

Comparatively, the US state of Florida has filed a lawsuit against OpenAI and its CEO Sam Altman, alleging that its generative AI products and big language models (LLM) constitute public nuisance (public nuisance) in the legal sense of the word. According to the report, some states in the US are trying to regulate AI companies through a legal framework called public nuisance, comparing generative AI to a digital pollution source that may cause social harm. Allegations suggest that AI chatbots may impact public mental health, provide uncertified advice, and pose public safety risks. The Florida side claims that the rapid development of OpenAI is based on misleading behavior and the use of users, causing Florida residents to be widely affected and disrupted social order. The state asked the court to take restrictive measures while seeking financial compensation. Currently, this case is viewed as an important case for US regulators exploring the boundaries of AI liability. If courts uphold Florida's public nuisance theory, it could push more states to take similar legal paths to litigate AI companies.

3d ago
Why is capital chasing AI Native and ignoring the old Internet

Why is capital chasing AI Native and ignoring the old Internet

Capital doesn't reward being old-fashioned, not because old-fashioned people are at fault. The old part is clearly priced. There is no bad information, so there is no excess profit. Global venture capital was $510 billion in the first half of 2026, surpassing $44 billion for the full year of 2025 in one and a half months. More than 70% have entered AI; OpenAI and Anthropic took 217 billion dollars, accounting for 43%. With that much money, you'd think everyone could share a little bit. The truth is that distribution is more extreme than total volume, and the first sieve doesn't screen the industry, it screens people. The category that has been screened out now has an unkind name: the internet is old. Let's just say one thing: the “old man” in this article has nothing to do with age. It refers to a set of methodologies that have been formed in the mobile internet cycle, have been tested over and over, and have brought huge returns to holders. The person holding it may be 45 years old or 32 years old. It was this methodology that was being repriced, not the year of birth. Confusing these two things is Lao Deng's most common mistake and one of the most comfortable mistakes — because if the problem is someone else's age discrimination, you don't need to change a single word. 01 What is AI Native The term has been misused. They can use ChatGPT not called AI native, nor AI in the company name, let alone in their twenties. There are three things that really separate people. First, the starting point is a model, not a requirement. The order in which Lao Deng makes a product is: look at what the user wants, write down the requirements, and find technology to implement it. The order of AI natives is reversed: first figure out what level the model is capable of today and what step it is likely to reach tomorrow, and then move from this capability boundary to the external product. The former uses the model as a tool, and the latter uses the model as the foundation. There was no difference between these two kinds of things made by humans in the first edition; by the third edition, there was a difference of one species. Article 2. The default unit of an organization is not a person. The division of labor in the Internet age is the division of one thing into ten people. AI Native's division of labor is to take ten things from one person and add a bunch of agents. The CEO of a domestic application company said that the team consists of less than ten people, but a large number of AI work at night, and the first thing employees do every morning is check the work the AI handed in the night before. Cursor's side is even more extreme. Public reports mention that the company doesn't have a product manager; engineers write their own code, talk to users themselves, and participate in recruiting people themselves. Article 3. Information is first-hand. AI Native's input sources are papers, model cards, GitHub issues, original discussions on X, and self-run evals. Lao Deng's input sources are industry summits, closed-door meetings, brokerage reports, interpretation of public accounts, and finding someone to drink coffee with. This one is the least obscure and most lethal; I'll talk about that separately later. I'm satisfied with all three. The 25-year-old is an AI native, and so is the 45-year-old. I'm not satisfied with the three rules; I'm still an old man at the age of 25. AI natives are a state, not an age group. The trouble is that tickets in this state are works, not resumes. 02 The two lists spread the results of this round on the table. These are two lists. The first one is an all-AI native company. Their valuations are not rising; they are exchanging orders of magnitude. List 1 · Upstream OpenAI raised $122 billion in a single round of financing in Q1 2026, followed by $852 billion, the largest private equity financing in history. Anthropic Q2 had a single round of $65 billion, after investing $965 billion, accounting for about half of the total global venture capital for the quarter; the revenue operating rate in May reached about $47 billion. DeepSeek raised about 70 billion yuan in its first round of financing in May 2026. In April of the same year, Liang Wenfeng raised his direct shareholding from 1% to 34%, and controlled a total of about 84.29% of the shares through related entities. The Dark Side of the Moon (Kimi) was estimated at $4.3 billion in December 2025; it went for three consecutive rounds from January to February 2026 to reach 18 billion; the D round in May was about $2 billion, breaking 20 billion dollars after the investment; the July round surpassed $3.5 billion, after investing 35 billion dollars; the pre-IPO target was 50 billion dollars. ARR broke 100 million in March, 200 million in May, and held steady at 300 million US dollars in June, with APIs accounting for more than 70%. Smart Spectrum · MiniMax successively landed in Hong Kong stocks in early 2026, with a market capitalization exceeding 100 billion yuan. It was one of the first major model companies listed in China. The second one...

4d agoWendy#AI #DeepSeek

Synchrony signs partnership agreement with OpenAI

In comparison, US financial services company Synchrony announced an enterprise cooperation agreement with OpenAI to deploy GPT-5.6 Sol, Terra, and Luna models, and launch the ChatGPT plug-in.

5d ago

ChatGPT long chat loads 94% faster: 741 rounds of conversation dropped from 28 seconds to 2 seconds

Comparing news, according to monitoring, OpenAI is preparing to optimize the super-long chat experience between ChatGPT and Codex, which will go live next week. After internal testing of the 741 round, 231MB giant chat, the average opening time dropped from 27.62 seconds to 1.66 seconds, and the loading speed increased by about 94%. This optimization is mainly aimed at loading chat records; it is not an increase in model response speed. In testing, the number of conversation entries that needed to be loaded dropped from 15,529 to 64, the number of requests dropped from 894 to 16, and the overall app's memory growth also decreased by 41.2%. For users who have been using ChatGPT or Codex for a long time, this can significantly reduce the wait time when opening old conversations. In the past, a very long thread got stuck, and the main reason was that the client needed to process a large amount of historical messages; this time, OpenAI directly reduced the amount of data that needed to be loaded.

6d ago

Robinhood's second venture capital fund, RVII, hits NYSE to raise $225 million

Comparatively, according to Reuters, Robinhood's second venture capital fund, Robinhood Ventures Fund II (RVII), is listed on the New York Stock Exchange, allowing ordinary investors to participate in investing in unlisted startups. RVII opened at $22.5 on the New York Stock Exchange and raised approximately $225 million. The second fund will focus on current and former participants in the Y Combinator startup accelerator project, which has funded more than 5,000 companies since 2005, including 100 “unicorn” companies. Y Combinator's notable investments include cryptocurrency exchange Coinbase, social media platform Reddit, and ChatGPT developer OpenAI.

7d ago#financing