AI News Archive: June 12, 2026 — Part 13
Sourced from 500+ daily AI sources, scored by relevance.
- OpenAI Bans Chinese Accounts for Anti-AI Influence Campaigns
OpenAI Bans Chinese Accounts for Anti-AI Influence Campaigns PCMag
- Scammers Used Gemini AI to Help Build Spam Messages, Google Says
Alphabet Inc.’s Google filed a lawsuit against a suspected Chinese cybercrime operation, alleging that the group used artificial intelligence to send more than 2 million text messages with fraudulent links attempting to scam cellphone users. Known as the Outsider Enterprise, …
- Google fires sueball at alleged Chinese phishers over AI-powered fraud ops
Telegram-based 'Outsider Enterprise' accused of sending millions of scam texts and impersonating trusted brands
- Scammers used Gemini AI to power a massive phishing operation and Google just sued them
A Chinese scam network used Google's Gemini AI to flood millions of phones with fake texts and build over 9,000 phishing websites, prompting a landmark Google lawsuit.
- Google sues cybercrime network that used Gemini for financial scams
Google has filed a lawsuit against a cybercrime organization that was using Gemini to power its financial scams, while Google is also pushing for stricter laws that are more relevant to an AI era.
- Scammers used Gemini AI to help build spam messages, Google says
Scammers used Gemini AI to help build spam messages, Google says
- Anthropic, OpenAI, Google executives plan to attend G7 summit
Anthropic, OpenAI, Google executives plan to attend G7 summit The Mercury News
- Anthropic, OpenAI, Google executives plan to attend G7 summit
Anthropic, OpenAI, Google executives plan to attend G7 summit East Bay Times
- Google to challenge German ruling saying it is liable for AI-generated false claims
Google to challenge German ruling saying it is liable for AI-generated false claims Reuters
- OpenAI under investigation by group of state attorneys general, source says
OpenAI under investigation by group of state attorneys general, source says Reuters
- India clears way for self-driving, safety car tech to reduce road deaths
The world's third largest car market, India reported more than 177,000 deaths in nearly half a mln road accidents in 2024
- ChatGPT: One Billion Served, Amid AI Concerns
Despite growing ethical concerns and negative sentiment, AI adoption continues accelerating through business integration worldwide.
- AI price war begins
Users are increasingly looking for value as well as capability.
- OpenAI Said to Be Considering Lower Token Pricing Amidst Growing Rivalry With Anthropic
OpenAI is said to be considering significantly reducing the prices it charges customers for using its AI models. According to a report, the ChatGPT maker is evaluating a strategy where it may slash its token pricing, which is the usage-based metric commonly used by AI companies to bill customers. The move is reportedly driven by the company’s intensifying rivalry wi...
- Anthropic v. OpenAI: Behind the bitter battle for the future of AI
Anthropic v. OpenAI: Behind the bitter battle for the future of AI
- OpenAI kicks off the AI price wars with flexible rate-limit resets for its Codex coding agent
OpenAI now lets Codex users bank their rate-limit resets and trigger them manually instead of watching them expire on a fixed schedule. If you hit your usage cap mid-session, you can cash in a saved reset right away instead of waiting. Users on the Go, Plus, Pro, and Business plans each get one free reset to start. Plus and Pro users can also invite friends to unlock extra resets. The article OpenAI kicks off the AI price wars with flexible rate-limit resets for its Codex coding agent appeared first on The Decoder .
- OpenAI buys Ona to push Codex toward long-running, autonomous coding tasks
OpenAI is acquiring Ona, previously known as Gitpod, a startup founded in Kiel, Germany in 2020 that specializes in AI agents and secure cloud development environments for software development. The article OpenAI buys Ona to push Codex toward long-running, autonomous coding tasks appeared first on The Decoder .
- OpenAI Acquires Startup to Boost Codex
The move is part of the generative AI vendor’s campaign to keep up with rival Anthropic and its Claude Code agent in the hot AI coding market.
- OpenAI buys Ona 🤝, Anthropic backtracks 🔁, Xiaomi’s MiMo code 👨💻
OpenAI buys Ona 🤝, Anthropic backtracks 🔁, Xiaomi’s MiMo code 👨💻
- OpenAI Buys Cloud Startup Ona So Codex Can Run Tasks While Your Laptop Is Closed
OpenAI acquires Ona to enhance Codex's functionality for continuous task execution.
- OpenAI's latest acquisition could see big changes on the way for its Codex coding assistant
OpenAI to snap up Ona, subject to approval, giving Codex access to the right environment for long-running agentic tasks.
- OpenAI buys Ona to help rein in AI agents
OpenAI buys Ona to help rein in AI agents InfoWorld
- OpenAI buys Ona to help rein in AI agents
CIOs and CISOs have many strategic and operational fears when it comes to unleashing fully-autonomous agents on tasks and hoping that everything works out. Will the agent start to delete critical files? Will the agent go off on a mission tangent and generate a massive token bill for the team when they return the next morning? Will it be tricked by a state actor and engage in malicious actions? To help alleviate those concerns, OpenAI announced on Thursday that it has agreed to acquire Ona, a 79 person cloud development environment (CDE) provider formerly known as Gitpod , to accelerate its efforts to make agentic AI enterprise-friendly. An OpenAI statement said Ona’s technology “provides secure, persistent environments where agents can access the tools, systems, and context they need to make progress over time. By bringing Ona to OpenAI, we will expand Codex beyond work tied to a single device or active session and help more organizations deploy agents securely in production.” An Ona statement attributed to CEO Johannes Landgraf shared similar sentiments. “Ona brings the building blocks agents need for enterprise work: trusted, customer-controlled cloud environments where work continues across devices, inside the systems where software actually lives,” Landgraf said. “OpenAI brings frontier intelligence, product polish, and a scale of research and distribution we could never reach alone.” Landgraf’s statement did not provide any annual revenue numbers, but did hint, without naming, at some large customers. “Since the beginning of the year, weekly Ona agent sessions have grown 13x in production across some of the world’s most demanding institutions: the oldest bank in the US, one of Europe’s largest pharma companies, one of Asia’s largest sovereign wealth funds and many others,” he wrote. “The largest enterprises out there love the platform and are expanding more rapidly than ever before.” Arnal Dayaratna , research VP for software development at IDC, said IDC’s figures for Ona put its annual revenue for 2025 at “roughly $7 million.” He speculated that Ona’s revenue for 2026 would be higher: “Let’s say it’s $15 million. I am being generous. Maybe it’s really $10 million or $12 million.” Dayaratna said if he uses a standard acquisition price of roughly a multiple of 30 times revenue, then depending on the actual 2026 figure, “that comes to $450 million or $500 million or so.” But IDC sees this being a potentially good move for OpenAI, regardless of the specific acquisition price, given that OpenAI had the classic “buy or build” challenge. OpenAI has a substantial Codex effort, Dayaratna said, but what they lack is a safe area to protect enterprise autonomous agent efforts. “This is outside of what OpenAI has now. These are secure environments where agents can have memory and operate securely,” he said. “This is the kind of technology that one would expect to be needed, but I don’t know how good it is, to be honest.” Gartner’s First Take , published today, noted that the acquisition will bring Codex “the essential scaling capability it lacked,” but also pointed out it forces some difficult decisions on enterprises: “Software engineering leaders must weigh the benefits of a vendor-specific integrated stack against the flexibility of staying vendor-agnostic.” In addition, Gartner wrote, “This acquisition appears to be OpenAI’s response to Anthropic supporting self-hosted sandboxes in Claude Managed Agents, starting May 2026.” Tom Findling , CEO of Conifers.ai, said he also sees OpenAI’s fear of Anthropic playing a meaningful role in this deal. “It feels like a move to keep pressure on Anthropic, especially as Claude Code gains traction with developers and enterprise buyers,” he said. “So I’d read this less as OpenAI taking out a small competitor and more as OpenAI trying to make sure Codex is enterprise-ready before Anthropic gets too far ahead. In the enterprise market, the battle is not just who has the smartest coding model, but who can make AI agents safe and useful enough for big companies to actually deploy.” He added, “I don’t think this means OpenAI suddenly needs help making Codex better at writing code. The bigger issue is making Codex work inside real enterprise environments, where security, access controls, persistent cloud workspaces, audit trails, and integration with existing developer workflows matter just as much as the model itself. Ona gives OpenAI some of that missing plumbing.” Jason Andersen , principal analyst for Moor Insights & Strategy, echoed the concerns about Anthropic. “To be honest, I think it reinforces what I think, which is that OpenAI and Codex have given a lot of ground to Anthropic and Claude Code, who are winning right now,” he said. “But again, this is not about the market today, I think it’s about how OpenAI will need to position itself as more than just a model as we see the incumbent players, particularly Microsoft, bolster their enterprise coding infrastructure story.” Andersen said that Moor doesn’t have any strong basis for a guess on the financials, but added, “I am going to assume it was a fairly high multiple, but on a small base. I would not speculate on an amount, but given the enterprise customers that Ona did have, it may be more than we think.” He also reinforced the idea that OpenAI is going to need help to achieve its own objectives. “We continue to see that AI adoption is strongest in coding, and other use cases are not as far along,” he said. “So, if you are a general-purpose AI company like OpenAI, you need to double down on development use cases. The meaningful investment and spending on development is happening at the enterprise level, and those customers have more demands for governance, security, etc. than Codex or Claude code can handle.” That said, he noted, “what you’re seeing is traditional software and cloud plays building out the coding and ops infrastructure around the popular models. That increased competition, while good for selling tokens, is still keeping OpenAI and Anthropic on the outside looking in. So, OpenAI and Anthropic need a stronger enterprise dev story, or they are just another model that could be easily replaced.” Jeremy Roberts , senior director at Info-Tech Research Group, said that he also sees this as likely a good move for OpenAI. “OpenAI is growing up a little bit,” and they may be falling behind Anthropic, Roberts said. “I see Ona as a boring company, but not in a bad way. They are not flashy, but absolutely necessary.” Ona is delivering a workspace for Codex that an enterprise can run in its own virtual private cloud, with governance and persistence and an environment where the company can apply their own controls including log management, credential management and resource access, he said. “It is a bucket for the agents to operate in” where IT can “make sure that access is properly credentialed and is controlled effectively to prevent the model doing what it shouldn’t be doing,” which includes managing read/write protections. This article originally appeared on InfoWorld .
- Anthropic vs OpenAI: Behind the bitter battle for the future of AI
The stakes extend beyond the clash between Altman and Anthropic CEO Dario Amodei, a former researcher at OpenAI, where he was one of the people responsible for the core technology that made ChatGPT possible.
- ChatGPT maker OpenAI weighs major price cuts in rivalry with Claude owner Anthropic
ChatGPT maker OpenAI weighs major price cuts in rivalry with Claude owner Anthropic The Straits Times
- OpenAI acquires AI agent orchestration startup Ona
OpenAI Group PBC today announced plans to acquire Ona, a startup with a platform for managing long-running artificial intelligence agents. The terms of the deal were not disclosed. Developers often run the AI agents they use to write code on their local machines. When a workstation is turned off, the AI agents that it runs […] The post OpenAI acquires AI agent orchestration startup Ona appeared first on SiliconANGLE .
- The AI pricing time bomb
The AI pricing time bomb IT Pro
- OpenAI mulls price cuts to stay competitive ahead of IPO
OpenAI plans to cut prices in anticipation that Anthropic is about to do the same
- Cisco’s ‘all-in’ approach to AI for collaboration stands out at Cisco Live US 2026
Cisco’s ‘all-in’ approach to AI for collaboration stands out at Cisco Live US 2026 verdict.co.uk
- U.S. bank regulators increase oversight of AI use at financial companies
Regulators are assessing AI risks in lending, data access and third-party vendors
- Derbyshire police officer investigated over AI-generated ‘evidential material’
Unidentified officer removed from frontline duties in the first known case of its kind in the UK A police officer is under criminal investigation over the alleged use of artificial intelligence and has been removed from frontline duties in the first known case of its kind in the UK. The officer, who has not been named, is being investigated over allegations of using the technology to “create evidential material in a number of cases” and perverting the course of justice. Continue reading...
- A major KPMG report on AI was found to be chock-full of...AI hallucinations
GPTZero has been prompted to issue its second report revealing how a major report is full of fake, AI-generated citations.
- KPMG report on AI found riddled with AI hallucinations
A new probe into Big Four KPMG’s report on agentic AI found that the majority of its references were flawed, amid the latest news of AI-hallucinated reports published by professional services firms. The investigation, conducted by GPTZero, focused on KPMG’s October 2025 report, ‘Total Experience: Redefining Excellence in the Age of Agentic AI’, which summarises [...]
- KPMG report contained AI hallucinations on benefits of . . . AI
A KPMG report on how AI is being used by businesses across the world exaggerated adoption of the technology with bogus case studies that appear to have been based on AI hallucinations. The October report, “Redefining excellence in the age of agentic AI”, made numerous false claims about the use of AI by organisations including the Swiss bank UBS, the UK’s National Health Service and the public transit groups Swiss Federal Railways and Transport for London. The inaccuracies were identified as AI hallucinations by the research group GPTZero and verified by the FT. After being alerted to the issue, UBS said it would ask KPMG to remove the false claims, and the Big Four firm on Thursday pulled the report from some of its websites. The discovery is the latest in a number of apparent AI hallucinations in reports by professional services firms and follows EY’s retraction of a study last month over fake footnotes and other errors identified by GPTZero. The KPMG report claimed global wealth ...
- KPMG's AI report becomes an accidental demo of AI hallucinations
GPTZero claims only 5 of the report's 45 citations matched their sources, raising questions about how the Big Four's AI study was assembled
- TCS partners with Anthropic to deploy Claude across enterprise operations at scale
TCS and Anthropic have partnered to deploy Claude across enterprise operations, from software engineering to customer service, signalling a decisive shift from AI experimentation to large-scale adoption. As AI evolves into an agentic technology capable of executing complex, multi-step tasks, businesses are no longer asking whether to adopt AI, but how to embed it at the core of how they operate. For TCS, this collaboration is a strategic move to lead that transformation on behalf of enterprises worldwide.
- TCS forms partnership with Anthropic to scale enterprise AI
TCS forms partnership with Anthropic to scale enterprise AI YourStory.com
- Deeptech in focus during PM Modi’s France visit; TCS joins hands with Anthropic
Deeptech in focus during PM Modi’s France visit; TCS joins hands with Anthropic YourStory.com
- TCS partners with Anthropic to promote enterprise AI adoption
TCS partners with Anthropic to promote enterprise AI adoption verdict.co.uk
- Rekise Marine Bags $9.7 Mn To Build Autonomous Underwater Vessels
Marine robotics startup Rekise Marine has raised $9.7 Mn (₹92.5 Cr) in a seed funding round led by Accel and…
- Jeff Bezos-backed Prometheus raises $12B to build AI engineers
Jeff Bezos-backed Prometheus raises $12B to build AI engineers YourStory.com
- Jeff Bezos’s Prometheus raises $12bn to build AI ‘engineer’: Here’s what it means
Jeff Bezos’s Prometheus raises $12bn to build AI ‘engineer’: Here’s what it means
- STAT+: Prometheus raises $12 billion in capital for artificial engineers
Nonprofit Blood Cancer United acquires cancer drug, Lilly and Nvidia invest in Abridge, and more biotech news
- Coinbase for Agents: Automating portfolio trading with AI
Coinbase for Agents connects AI to financial execution channels to automate trading and payments directly from user portfolios. Large language models process vast quantities of data but lack direct integration with active financial portfolios. Individuals frequently employ these models to evaluate market developments or research investment opportunities. These software tools possess the capacity for complex […] The post Coinbase for Agents: Automating portfolio trading with AI appeared first on AI News .
- Pine Labs Launches P3P Agentic Payment Protocol for Autonomous UPI Transactions in India
Pine Labs Payment Protocol (P3P) was launched in India on Thursday. The financial technology company said that it is a new payment infrastructure that enables AI agents to autonomously complete UPI transactions. P3P is claimed to eliminate the need for manual authentication during payments. It is built upon the existing UPI mandate framework. As per the company, users...
- Anthropic’s Claude Fable 5 adds hurdles for Chinese AI firms
Anthropic said the distillation filter was a response to earlier model-extraction attempts.
- Google unveils DiffusionGemma, an AI model that breaks free of left-to-right processing
Extremely powerful large language models (LLMs) still operate as though they’re typing on a keyboard, processing workloads in a simple left-to-right fashion. But in locally-run, single-user scenarios, this sequential processing can leave graphics processing units (GPUs) and tensor processing units (TPUs) underutilized. Google is betting that DiffusionGemma can get around this bottleneck. The new experimental open model generates text “exceptionally fast,” creating entire blocks of text simultaneously through diffusion techniques rather than through token-by-token processing. The company says this technique results in 4x faster inference compared to auto-regressive models that rely on sequential processing. It can also save users money. Technology analyst Carmi Levy noted that existing pay-per-token monetization models “penalize the use of less than optimally efficient AI solutions.” But DiffusionGemma “could herald a new generation of task-defined, efficient solutions that can enable expanded compute capacity without draining the operations budget,” he said. A contrast to left-to-right processing Built on Google’s Gemma 4 family and its Gemini Diffusion research, DiffusionGemma is a 26B mixture-of-experts (MoE) model designed to maximize text output generation. It essentially shifts how models use hardware , giving processors a larger hunk of work each cycle so it can draft full 256-token paragraphs in sequence. This allows the model to generate text up to 4x faster on GPUs, Google claims. It activates only 3.8B parameters during inference, and, when quantized, can fit within 18GB VRAM on high-end consumer GPUs like Nvidia RTX 5090. “It upgrades your model inference from a single, sequential typewriter to a massive printing press that stamps the entire block of text simultaneously,” Google research scientists Brendan O’Donoghue and Sebastian Flennerhag wrote in a blog post . AI image generators begin with pure, random ‘visual noise’ and iteratively refine that into a finalized picture (what’s known as ‘diffusion’); DiffusionGemma applies this same process to text. It does not generate tokens in order, but begins with a “canvas of random placeholder tokens” that it processes in multiple passes, identifying the context tokens it feels are most relevant and using those to refine the rest. The model has the ability to self-correct, using confidence scoring to re-evaluate tokens in the next pass. “The model iteratively refines its own output, allowing it to evaluate the entire text block at once to fix mistakes in real-time,” O’Donoghue and Flennerhag explained. DiffusionGemma also has bidirectional attention, they wrote. “Generating 256 tokens in parallel with each forward pass allows every token to attend to all others.” This can be particularly helpful in domains that are non-linear in nature, such as mathematical graphs, code infilling, and in-line editing, they said. DiffusionGemma is optimized across Nvidia’s hardware stack, making it compatible with consumer setups as well as with high-performance enterprise systems like Hopper and Blackwell. Because it is released under the Apache 2.0 license, developers can freely use, modify, distribute, and commercialize the software using their preferred tools. It can be run on GPUs or in the cloud through Google Cloud Model Garden or Nvidia NIM , and is available on Hugging Face , GitHub , and vLLM , with support for the open-source library llama.cpp coming soon. Key use cases The model is particularly useful in local workflows that are “speed critical,” such as generation of non-linear text structures, and unlocks what Google calls “new patterns of model behavior” like multimodal understanding and generating and rendering code in near real-time. Levy explained, “DiffusionGemma is particularly well suited for interactive coding and editing where its efficiency allows rapid processing and iterations,” noting that its ability to fit within 18GB of VRAM and its deployability on commonly available local GPUs can potentially benefit customer service-related workloads that lean heavily on real-time interaction and local processing. “DiffusionGemma also incorporates a thinking mode that is especially adept at problem solving,” he said. For instance, the model was fine-tuned to play Sudoku, a typically challenging task for autoregressive models because each token depends on future tokens. This “rather handily” illustrates the model’s capability to solve more complex problems, Levy noted. Limitations Google freely admits that DiffusionGemma is geared to specific workflows, and there are “key trade-offs.” The model is engineered for small batch size inferencing and low-latency, high-speed generation low-to-medium batch sizes on a “single capable accelerator.” In high-QPS cloud serving environments, (where infrastructure is designed to handle tens or hundreds of thousands of requests per second with ultra-low latency), DiffusionGemma’s parallel coding “offers diminishing returns,” and can even result in higher serving costs, Google conceded. In addition, its overall output quality is lower than that of standard Gemma 4, which is built for apps demanding maximum quality. However, Levy noted that while DiffusionGemma “can be less precise than other models in certain workloads,” subsequent refinement cycles could overcome this limitation. While Google isn’t sharing runtime costs, it’s clear that this is an efficiency play, he added. “When deployed across the kinds of workloads that would optimally benefit from its architecture, DiffusionGemma seems to have the potential to reduce processing overhead and related costs,” he said. This article originally appeared on InfoWorld .
- Microsoft president responds to students’ distrust for AI
Microsoft’s president, Brad Smith, has reacted to student discontent with AI, telling today’s graduates that there is still a place for human creativity. Students across the US have booed speakers who talked up AI at their graduation ceremonies in recent months, including Google’s former CEO Eric Schmidt , the CEO of a record label , and a real estate executive . Smith hasn’t ventured out onto a podium to share his views, but in a lengthy blog post, AI, Jobs and the Next Generation , acknowledged students’ concerns about their futures. He said that, just as painting survived the arrival of photography, so will the job market survive the arrival of AI. “While it may feel unfair that the job market is so uncertain, you were made for this moment. Technology is second nature to your generation. Constant change has taught you how to adapt quickly,” he wrote. He also used the blog to promote a book written by his colleagues Ryan Roslansky and Aneesh Raman on how to get ahead at work in the age of AI. The corporate world will see massive changes, he said: “This includes AI automation of tasks in current entry-level positions and, especially in the tech sector, corporate pressure to reduce headcount to help pay for AI’s enormous capital expenditures.” Some of those changes are already here. In the past six months, we have seen massive job losses at Oracle , at Meta and at AWS . There are no signs of any let-up: Last month saw the tech industry shed more than 38,000 jobs . Students contemplating their future will find little comfort in Smith’s optimistic words, particularly as his essay shows that Microsoft is not making any changes to its AI program going forward.
- Chipmaker Kioxia overtakes Toyota as Japan’s most valuable firm as AI mania goes on
Chipmaker Kioxia overtakes Toyota as Japan’s most valuable firm as AI mania goes on The Straits Times