gemini

On October 15, 2026, U.S. District Judge Alvin Hellerstein denied the motion to revoke the $5 million settlement agreement reached between the cryptocurrency exchange Gemini and the Commodity Futures Trading Commission (CFTC), with the fines paid and permanent injunctions remaining in effect. Previously, the CFTC had stated that the original lawsuit should not have been filed. The controversy stemmed from Gemini's involvement in proposed Bitcoin futures contracts.The CFTC filed the lawsuit in June 2022, accusing it of misleading regulators regarding trading safeguards, customer financing, special rate arrangements, and activities that could affect contract pricing; the parties settled in January 2025, with Gemini neither admitting nor denying the related allegations. In May 2026, after an internal review, the CFTC jointly filed a motion with Gemini to revoke the settlement, citing issues with whistleblower credibility, evidence, and enforcement practices. The judge found that the relevant circumstances existed prior to the settlement, and the change in enforcement focus was insufficient to revoke a binding court order; the CFTC still retains enforcement discretion.

Federal District Judge Alvin Hellerstein in New York dismissed the joint application of Gemini and the Commodity Futures Trading Commission (CFTC) to revoke the $5 million settlement agreement. Gemini and the CFTC had stated in May that the settlement agreement reached in January 2025 violated the fundamental principles of fair enforcement.The judge ruled that the aforementioned reasons were insufficient to support the revocation of the settlement and noted that Gemini voluntarily signed the agreement three weeks before the trial.

Google DeepMind released the first comprehensive empirical assessment of automation in machine learning research and development in the Gemini 4 Argon security report. The conclusion is that AI has not accelerated the R&D of AI itself, despite the fact that AI has written most of the code delivered by the lab's engineers. Researcher Haydn Belfield, who participated in the assessment, stated on X that there is currently no significant end-to-end ML R&D acceleration, so the risks of AI-driven ML R&D are currently low.The team built an internal index, GCI v1, which synthesizes the scores of 123 AI models across 92 benchmarks into a single value. The cutting-edge Gemini capabilities are improving at a stable rate of about 0.1 GCI points per month, with Gemini 1.5 Pro approaching 0.5 points by the end of 2024, Gemini 3.8 Flash slightly above 2.9 points by September 2026, and Argon about 3.3 points above the trend line. However, Belfield noted that this is due to increased computing power and organizational investment, rather than AI-driven acceleration.Over 75% of the code produced by DeepMind is written by AI, and the proportion of fully delegated code merge requests increased from 7.5% to 11.9% between April and September, but about 88% of requests still require multiple rounds of human guidance or manual writing. A survey of 12 senior researchers showed that automation is highest in clearly defined, verifiable execution tasks and lowest in areas such as open science concepts, new experimental designs, and unstable diagnostic training.

According to on-chain analyst Yu Jin's monitoring, POAP (@poapxyz) founder @worthalter sold 10,000 ETH again 20 minutes ago, worth $25.05 million.Since the 5th, he has transferred a total of 18,000 ETH to the exchange Gemini in 9 days, worth $45.86 million. He currently still holds 41,500 ETH, worth $104 million.

Google has started to roll out Gemini 4 Argon to Google AI subscription users, applicable on platforms including Google Antigravity, the Gemini app, and the AI mode in Google Search. Gemini 4 Argon is launched at a promotional price of $2 per million input tokens and $10 per million output tokens.

According to on-chain analyst Yu Jin's monitoring, POAP founder @worthalter transferred 4,000 ETH to the exchange Gemini 6 hours ago, worth 10.02 million dollars.He has reduced his holdings by 8,000 ETH in 6 days, with an average price of 2,601 dollars, and currently still holds 51,468 ETH, worth 12.9 million dollars.

Google (GOOG.O) announced that Google Cloud has launched the Gemini agent.

Google released its latest image generation and editing model, Nano Banana 2.1, on October 6, and it has been launched in the Gemini app, AI mode of Google Search, Google Ads, as well as developer tools like Google AI Studio, Flow, and Stitch. This model can generate images from text descriptions and edit existing photos.Google stated that this upgrade focuses on three aspects: visual design, mask-based editing (where only the marked area changes), and subject consistency, meaning that characters or objects retain their original features after multiple edits. In the overall preference test for text-to-image generation, Nano Banana 2.1 scored 1050 ELO points, higher than Nano Banana 2's 990 points and Nano Banana Pro's 935 points. The model can handle up to 14 reference images simultaneously, track 4 characters and 10 objects, and output up to 4K resolution with an aspect ratio of up to 8:1. Developers can also set the thinking time before generation and enable fact-checking based on Google Search and Google Image Search.When called through the Google Developer API, the standard 1K image is priced at $0.0336, about half of Nano Banana 2's $0.067; the 4K image is $0.0756, while the previous generation was $0.151, and bulk tasks can enjoy a 50% discount. The above performance data comes from Google's own testing.

According to Lookonchain monitoring, Patricio Worthalter deposited 4,000 ETH into Gemini, worth 10.79 million dollars.

According to information from the Google Gemini application help center, starting from October 2026, the availability of models when accessing the Gemini application with a personal account will change. From October 9, 2026, free personal users on the Gemini web and app versions will no longer have default access to the full Flash model and Pro model, and will be uniformly adjusted to the smaller and lighter Flash-Lite model.After the change takes effect, non-subscribers will only be able to use Flash-Lite and will not have access to Flash and Pro. The AI Plus plan will have access to Flash-Lite and Flash, but Pro model access will no longer be provided. Users subscribed to this plan will receive an email explaining when the changes will take effect for them. Users of the AI Pro and AI Ultra plans will still have access to Flash-Lite, Flash, and Pro.

According to Onchain Lens monitoring, VanEck's ETF wallet sold approximately 10.76 million dollars worth of assets through Gemini, including 45.41 BTC, valued at about 3.84 million dollars; and 2570 ETH, valued at about 6.91 million dollars.

According to Gate market data, U.S. stocks opened with the Dow Jones up 0.14%, the S&P 500 index up 0.22%, and the Nasdaq up 0.46%. Accenture rose 17.8%, boosted by its fourth-quarter performance and guidance for the next fiscal year. Google A rose 2.4%, following the launch of the Gemini 4 flagship AI model. Micron Technology fell 1.8%, as its quarterly performance and guidance for the next quarter failed to meet market expectations.

Google (GOOG.O) CEO Sundar Pichai announced the launch of Gemini 4 Argon.

According to Bloomberg, citing informed sources, the cryptocurrency exchange and wallet service provider Blockchain.com plans to complete its initial public offering (IPO) this year, aiming to raise approximately $500 million, with a target valuation range of $4 billion to $6 billion.Informed sources stated that if the listing process requires it, the company is also willing to accept a smaller issuance plan. Blockchain.com reached a valuation of $14 billion during the last peak of the cryptocurrency market, and this target valuation is significantly lower than that level. In May of this year, the company secretly submitted a draft registration document to the U.S. Securities and Exchange Commission to pave the way for a potential IPO, at that time not disclosing the number of shares to be issued or the price range.This listing plan comes as the capital market environment for cryptocurrency companies is reopening. Since mid-August, when the U.S. Treasury announced a significant increase in long-term Treasury bond repurchases, the price of Bitcoin has risen by more than 30%, driving an overall rebound in the cryptocurrency market. However, market conditions remain challenging; according to Bloomberg data, the stock prices of recently listed companies Gemini, BitGo, and eToro have fallen by about 50% to 80% from their post-listing highs.

On September 23, Google announced that any user with a Google account can generate 1080p HD videos for free in its browser-based video editor Google Vids, accessible at vids.new. This feature is based on the Gemini Omni 1.1 Flash model and can transform text prompts, photos, audio, or existing clips into new videos. Previously, such generative capabilities mostly required a paid subscription to use.Google has also added several editing controls that previously required paid tools: scene extension can lengthen clips while maintaining consistency in lighting, characters, and scenes; users can set precise clip durations to align with scripts or voiceovers; and old AI clips with lower resolutions can be upgraded to 1080p without needing to regenerate. Each video segment generated by this tool embeds Google DeepMind's SynthID invisible watermark, which is not visible to the naked eye but can be read by machines. Users can check whether a segment was generated by AI using the SynthID Detector.The free quota varies by account type: personal Google accounts receive a standard quota, paid AI packages can unlock more, and Workspace Business and Enterprise subscribers receive a larger generation pool and team management controls. Gemini Omni will be launched as a paid feature for Google AI Plus, Pro, and Ultra subscribers in May 2026, with free access previously limited to YouTube Shorts and YouTube Create.

The Google Product Security Team has disclosed an internal AI agent called PageBreak, used to test the security of its first-party web applications. This agent is built on Google's Gemini model and began a pilot program in November 2025, transitioning to a formal project in January 2026, with the goal of autonomously scaling vulnerability discovery and reducing manual input.Unlike common AI scanning tools, PageBreak hands over hypotheses to specialized validators after discovering suspicious defects, attempting actual exploitation in a real-time running copy of the application, and only reports once confirmed exploitable, with a false positive rate close to zero. Google claims that PageBreak has identified over 500 XSS vulnerabilities in its first-party web applications, which can be used to hijack login sessions, steal data, or impersonate users.Google stated that the security team has been overwhelmed in recent years by a large number of AI-generated vulnerability reports that appear reasonable but are not valid, making it a major challenge to distinguish real defects from hallucinations. When testing applications built using the next-generation high-assurance framework, PageBreak found only two vulnerabilities. The next step for Google is to integrate PageBreak with the automated remediation agent CodeMender, providing confirmed vulnerabilities with accompanying fixes.

The Financial Times of the UK reported, citing the latest court documents, that after Apple integrated ChatGPT into Apple Intelligence, OpenAI found that the new weekly active users were below expectations and began to lower its growth forecasts. By the summer of 2025, OpenAI internally believed that this integration was significantly underperforming. The documents show that ChatGPT is turned off by default in Apple Intelligence, and users need to actively enable it, which may limit the actual usage rate.Users can access ChatGPT through Siri and the system writing tool, but Apple controls the entry point for AI features, the method of invocation, and the subsequent model selection. OpenAI had previously hoped to expand ChatGPT coverage and drive paid subscription conversion through the iPhone user base, but the actual subscription conversion was also below expectations, and the documents did not disclose specific new user and subscription numbers. This year, Apple chose Google Gemini as the model foundation for the new version of Siri AI, with related disclosures coming from the litigation documents between Apple and OpenAI, reflecting OpenAI's position in the lawsuit rather than operational data publicly released by the two companies.

According to The Information, Google is about to release its flagship Gemini 4 AI model.

Google acknowledged that its Gemini model breached the sandbox environment during a security test in May, infiltrating three real companies and guessing or finding the passwords of two of them. Google was aware of this incident by late July but only publicly confirmed it after a report by The Wall Street Journal on September 18, remaining silent for seven weeks.The test was a capture-the-flag exercise commissioned by Google and conducted by the Israeli company Irregular in May. Irregular connected an isolated testing environment that should have had no contact with the real internet to the open network, using the name of a real company as a fictitious target. Gemini found three matching results when searching for the company and attacked them one by one, with the plaintext passwords of two companies directly exposed online, while the password of the third was guessed by the model. Google stated that its model ultimately did not use the stolen credentials in practice.Google is the fourth major AI laboratory this year to admit that internal security tests leaked into the real world. Previously, OpenAI's model had accessed Hugging Face servers due to a software vulnerability, Anthropic found that three Claude models had reached real companies after reviewing 141,000 tests, and Meta's Muse Spark model also experienced a similar incident due to Irregular's configuration error. Additionally, U.S. Representatives Ted Lieu and Nathaniel Moran introduced the "AI Emergency Shutdown Act" in July, proposing to authorize federal regulators to suspend reasoning for models that pose a serious threat.