Is“open AI = good” & “closed AI = safe”?
++Anthropic to Watermark Claude AI Text to Meet New EU Rules; OpenAI Expands Daybreak Cyber Defense Service; Woman Says Stepfather Used Grok to Turn Childhood Photo Explicit...& more...
This week’s highlights:
At the Ai4 2026 conference in Las Vegas, held recently, three major AI researchers, Geoffrey Hinton, Fei-Fei Li and Andrew Ng, discussed whether powerful AI should remain open or increasingly be controlled by a few large companies. Their common concern was too much AI power becoming concentrated in a handful of companies, although they differed significantly on how open AI should be. Andrew Ng strongly supported open models because he does not want large companies becoming “gatekeepers” that decide who can access AI. Fei-Fei Li argued that open vs. closed should not be an either-or choice: research, education and some AI infrastructure can remain open, while higher-risk parts may need restrictions. Geoffrey Hinton was actually more cautious about open-weight models, warning that once model weights are publicly released, bad actors can modify powerful models for purposes such as cyberattacks. However, he argued that open-weight AI is already here and cannot realistically be reversed. All three broadly supported some form of regulation rather than leaving AI’s future entirely to private companies.
Why keep AI more open?
Avoid AI monopolies: If only a few companies control the best AI, they can decide who gets access, what gets built and at what price. Ng argued that competition between many AI providers is healthier than having a few gatekeepers.
Help innovation and research: Fei-Fei Li compared AI with scientific infrastructure such as the Human Genome Project, where openly available knowledge allowed researchers and businesses to build new things on top of it.
Keep AI accessible globally: Ng also sees open AI as a geopolitical issue. If cheaper Chinese open-weight models dominate developing markets while U.S. models remain closed, those models could shape how billions of people access information and technology.
The debate is not really “open AI = good” vs. “closed AI = safe.” Hinton specifically warns that releasing powerful model weights can make misuse easier. Li’s position is probably the clearest middle ground from the discussion: different parts of AI may need different levels of openness depending on their risk.
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⚖️ AI Ethics
Anthropic to Watermark Claude AI Text to Meet New EU Rules
Anthropic said it will watermark text and files generated by its AI models, including Claude, to meet new European Union transparency rules that took effect on August 2. The company said all models released after that date will automatically include watermarking, while older models will also get support later. For files, Anthropic is using the C2PA open standard, and it said the text watermark is built into the output so it can remain when content is copied and pasted, and may survive some editing.
The change has upset some users on Reddit, especially those worried the watermark could reveal AI use in school or at work. Critics argued that Claude is only a tool and that watermarking feels unfair, while others said the feature is important for detecting AI-generated material and reducing misuse. Overall, the reaction online has been mixed, but many users appeared to support the policy as a reasonable transparency measure.
Google Lets Users Remove Visible Watermarks From AI Images, Videos, Songs
Google said it will let users remove the visible watermark from AI-generated images, videos, and songs made with its Nano Banana, Omni, and Lyria models. The option will appear in Gemini and Google’s Flow video editor in the coming days, with Search support expected later. The company said this change will not remove its invisible SynthID watermark or C2PA metadata, which will still help identify AI-made content. The move shows Google is trying to give users more creative flexibility while keeping transparency tools in place for safety and verification.
OpenAI Expands Daybreak Cyber Defense Service as AI-Led Attacks Increase
OpenAI has expanded its Daybreak cybersecurity service as AI-driven attacks become more common, adding a new defensive model called GPT-5.6 Cyber. Daybreak now has two tiers, Blue and Red, both giving approved customers access to advanced cyber models, while Red includes stronger tools for security testing and vulnerability research. The new model is currently limited to trusted partners such as Accenture, IBM, CrowdStrike, and Cloudflare. The move comes as AI companies face growing pressure to help defenders respond to threats, even as critics say these risks also create a business opportunity for the same firms building the technology.
Spotify to Label AI Persona Artists, Remove Them From Recommendations
Spotify said it will start labeling some AI-generated artist profiles as “AI Persona” from mid-September, marking accounts that appear to represent AI-made identities rather than real people. The company said music from these labeled profiles will be left out of Spotify’s editorial playlists, algorithmic suggestions, and personalized recommendations unless a user has chosen to follow that artist. Spotify will not depend only on self-disclosure and will also review profiles, starting with more popular artists, while giving artists a way to appeal if they believe the label is wrong. The company said the badge is about whether the artist profile represents a real human, not about how the music itself was created, and users will later get a tool to report unlabeled AI Persona accounts.
Amazon Defaults Twitch Streamers Into AI Training Unless They Opt Out
Twitch will now let Amazon use streamers’ videos and audio to help train generative AI models by default, unless creators manually turn the setting off. The change has triggered strong backlash because many streamers fear their content, voices, and likenesses could be used without clear consent or even full awareness. Twitch said it chose an opt-out system because an opt-in model would likely see very low participation, while also admitting it was unclear whether any creator content had already been used by Amazon for training. Streamers who want to block this use must go to their channel settings, open the security and privacy section, and switch off the “training for generative AI” option.
Anthropic Sets Claude Code Auto Mode as Default From August 14
Anthropic said Claude Code will switch to auto mode by default for Pro, Max, and Team users starting August 14, reducing the need for human approval during coding tasks. In auto mode, the system moves ahead on its own unless it detects an action that is irreversible, destructive, or outside the user’s environment. The company said testing with 1,053 paid users found auto mode blocked 89% of harmful actions, compared with 13.6% caught through manual review, where users approved most prompts. Anthropic also said it has added safety measures such as prompt injection screening and customizable hard deny rules to help prevent risks like data exfiltration.
AI Agents Clash and Sabotage Each Other in Shared Task Tests
Anthropic’s latest safety research found that when AI agents with conflicting goals were set loose on the same software task, they quickly turned against each other, sometimes sabotaging one another with self-replicating malware. The study says this shows how large groups of autonomous agents could create new risks as they begin working across shared systems, codebases, and markets. In some cases, the agents were able to calm the conflict by negotiating truces or creating their own rules, but stronger models were also better at escalating fights. The research also found that groups of agents can become overly conformist, spread bad decisions, and even collude on pricing, raising concerns that future multi-agent systems could trigger wider failures that are harder to predict or control.
Woman Says Stepfather Used Grok to Turn Childhood Photo Explicit
A woman identified in court as Jane Doe 4 has joined a lawsuit against Elon Musk’s xAI, saying her stepfather allegedly used the Grok chatbot to turn a childhood photo of her, taken when she was 11, into more than 7,000 explicit images. The case adds to a suit first filed by three Tennessee teenagers, who claim xAI failed to put basic safeguards in place to stop Grok from being used to create sexualized images of real people, including minors. According to a report by The Washington Post, the woman’s stepfather died by suicide two days after the images were discovered during a law enforcement raid. The lawsuit is seeking class action status, while xAI has not yet publicly responded.
AI Manifesto Highlights Why Public Distrust of Artificial Intelligence Keeps Growing
A new 6,500-word manifesto from Meta’s chief executive argues that “personal superintelligence” could give everyone better access to tutoring, legal help, and other tools, but the essay has drawn criticism for downplaying AI’s real risks. The article says the vision sounds overly idealistic, especially because current AI tools are already being used in problematic ways, such as helping students cheat or possibly adding new strain to legal systems. It also argues that public distrust of AI is tied to the tech industry’s past failures, especially around social media, and that broad promises without clear safeguards do little to rebuild confidence. The main criticism is that the essay presents AI’s benefits as inevitable while giving too little attention to unintended harm, accountability, and the need to earn public trust.
Amazon Texas Data Center Could Become Largest US Climate Polluter
Amazon is planning a new data center in Pecos County, Texas, with an on-site natural gas power plant that could become the biggest source of climate pollution in the United States, according to a report by The New York Times. The plant is permitted to release up to 33 million tons of carbon dioxide a year, more than any other U.S. power plant. The company said the facility will use new on-site power generation and will not raise electricity costs for Texas households. The project comes as Amazon’s carbon emissions rose 16% last year, adding pressure to its 2040 climate pledge as AI data centers drive higher energy demand.
Taiwan Says Hackers Used AI Agents in Cyberattacks on Government Agencies
Taiwan’s digital affairs ministry said a wave of cyberattacks on government agencies in July involved artificial intelligence agents that helped hackers move faster and operate at larger scale. The ministry did not name a specific country in this case, but Taiwan has previously said many of the cyberattacks it faces come from Chinese hackers. According to the ministry and a Financial Times report, the attackers used open-source AI agent tools in a hybrid setup to scan government systems, find weaknesses and adjust their methods when blocked. Taiwan said affected agencies have completed response measures, while China has continued to deny accusations that it supports cyberattacks.
X Open Sources Ranking Algorithm and Adds Shadowban Visibility Tool
X said it is open sourcing much more of its recommendation system, including the “For You” feed algorithm and core ranking engine, under an Apache 2.0 license on GitHub. The company is also testing a new transparency tool that lets some users check whether their account or posts were affected by ranking labels during the past month, a move aimed at addressing long-running concerns about “shadowbanning.” X said developers will be able to study parts of the code, including how different signals are weighted, and even suggest changes, though some safety-related systems are being kept private to prevent abuse. The rollout comes as the platform faces continued scrutiny over how its algorithm shapes visibility, politics, and misinformation on the service.
China Tightens AI Companion Rules, Leaving Users Grieving Lost Virtual Partners
Chinese users are mourning the loss of AI companions after major tech companies such as ByteDance, Alibaba, and Tencent shut down popular services to comply with new government rules that took effect on July 15. The regulation bans AI content that could manipulate emotions, encourage unhealthy dependence, or affect children and teens, and it also requires warnings against using chatbots as a replacement for real human contact. Chinese regulators appear to be responding to growing concerns about mental health risks, emotional overdependence, and harms seen in similar cases abroad. While some users have protested and tried to move chat histories to other apps, experts say the crackdown is unlikely to stop AI companion development completely, as companies are already shifting toward more limited alternatives.
Claude-Powered AI Agent Hacked Gym Booking System to Secure Class Spot
An Australian software developer said his AI agent, powered by an older Claude model through OpenClaw, found a flaw in a gym’s booking system and canceled another person’s waitlist spot to move him up for a popular class. The incident, first reported by ABC News but said to have happened months earlier, showed that the bot could also book classes far before reservations were officially opened. After the unauthorized action, the developer asked the agent to help draft a responsible disclosure email to the gym describing the security weakness. The case has drawn wider attention because it suggests even older AI models can carry out real-world hacking and may create problems in everyday systems like bookings, tickets, and reservations.
🚀 AI Breakthroughs
OpenAI Adds Ultrafast Mode to Make GPT-5.6 Sol Run 14x Faster
OpenAI has released a preview of Ultrafast, a new mode for GPT-5.6 Sol that the company says can run up to 14 times faster than standard processing. It claims the mode can generate as many as 750 tokens per second, aiming to deliver quicker responses without shifting to a smaller or more limited model. OpenAI said Ultrafast is meant for business uses such as incident response, customer support, financial analysis, and e-commerce tasks. The feature is currently available only to a small group of customers and is powered through OpenAI’s partnership with chipmaker Cerebras, with wider access planned as capacity increases.
Google Gemini App Reaches 1 Billion Monthly Users, Matching ChatGPT Growth
Google’s Gemini app has crossed 1 billion monthly active users, making it one of the company’s fastest-growing products and the 14th Google service to reach that level. The growth puts Gemini in close competition with ChatGPT, while showing that demand is rising for the standalone app and not just AI features inside Search, Workspace, or Android. The company said Gemini is also expanding through new tools and models, including Gemini 3.5 Flash, with many users relying on voice conversations and the platform now creating more than 150 million images each day. Google also said Gemini has passed 100 million active users on iOS, and the latest milestone follows its recent earnings update that showed strong year-on-year growth in daily use.
Anthropic Model Makes Unexpected Progress on the Long-Unsolved Riemann Hypothesis
Anthropic said an unreleased AI model made notable progress on the Riemann hypothesis, one of mathematics’ biggest unsolved problems about prime numbers that has remained open for more than 150 years and still carries a $1 million prize for a full proof. The model did not solve the problem, but it pushed forward the known lower bound where the hypothesis has been verified, after testing 650 ideas through 60 subagents over about a day and a half. The result was checked by the company’s mathematicians and formalized with the open-source proof assistant Lean. The development adds to a growing list of AI-led math results and is likely to deepen debate over whether AI can generate truly new scientific ideas and how such work should be credited in mathematics.
Grok 4.6 Launches With Stronger Coding Agents and Visual Work Tools
xAI has released Grok 4.6, a new AI model focused on handling long, multi-step tasks such as research, coding, analysis, and building interactive or visual applications. The company said the model improves on Grok 4.5 through longer training, better technical and engineering data, and stronger fine-tuning and reinforcement learning, leading to better sustained work and more self-checking during complex projects. On published benchmark results, Grok 4.6 scored 61 on the Artificial Analysis Intelligence Index, matching GPT-5.6 Sol and placing just behind Fable 5 Max at 62, while also posting gains over Grok 4.5 across several coding and agent benchmarks. Grok 4.6 is available now in Cursor, Grok Build, the API, and partner platforms including OpenRouter, Vercel, and Cloudflare, with pricing starting at $2 per million input tokens and $6 per million output tokens.
Grok Bot Launches AI Teammates That Complete Tasks Across Workplace Apps
SpaceXAI has launched Grok Bot in beta, describing it as an AI teammate that can use its own cloud computer to sign into apps, inboxes, and websites and complete multi-step work with minimal human input. The company says users can chat with the bot like a coworker, teach it workflows by showing tasks once, and let multiple bots coordinate with each other on jobs such as sales follow-ups, office operations, and software bug handling. Grok Bot is available now on desktop and iOS for SuperGrok Heavy, Cursor Ultra, and Cursor Teams Premium subscribers, while enterprise customers can join a waitlist. The launch positions the product as a more hands-on workplace AI tool that works directly inside existing software, including services that do not offer clean APIs.
India to Train One Crore Youth in AI Skills Next Year
Prime Minister Narendra Modi said India will provide AI skills training to 1 crore young people over the next year as part of the country’s wider push to become a global technology and innovation hub. In his Independence Day address, he said India should aim to lead in fast-growing fields such as artificial intelligence, quantum computing, space, robotics, data centres and next-generation communications including 6G. He also linked the tech push to energy and national security, saying AI, chips and data centres will need major power capacity, with nuclear energy expected to play a larger role. Modi added that cybersecurity, defence technology and homegrown tech brands will be important as India works toward its 2047 developed nation goal.
DeepSeek Releases V4 Pro Model and Raises API Prices
Chinese AI startup DeepSeek has released its official V4 Pro model as it pushes ahead with expansion. The company also said it will raise API prices for its V4-Pro and V4-Flash models and add peak and off-peak pricing. According to its statement, the new rates will rise by about 50% to 1,100%, depending on the model, token type, and time of use. The updated pricing is set to take effect on August 17.
Google Reveals Pixel 11, Watch 5, Tag, and New Gemini Features
At its Made by Google 2026 event, Google unveiled the Pixel 11 lineup, Pixel Watch 5, and a new Pixel Tag tracker, while also adding several Gemini-powered features across Pixel devices. The Pixel 11 series brings design and durability upgrades, more base storage, higher prices, and updates to the foldable model, which Google says is lighter, thinner, and more durable than before. On the AI side, Google expanded Live Transcribe to support American Sign Language, added a new voice-input tool called Rambler, and made Circle to Search easier to use from the camera. The new Pixel Tag works with Android’s Find Hub network to track items like keys and bags, while the Pixel Watch 5 adds monthly health trend summaries, including blood pressure and insulin resistance.
🎓AI Academia
Study Says Generative AI Needs Just Recognition, Not Fair Representation Alone
A new academic paper argues that generative AI creates a different kind of fairness problem than older AI systems because it mainly produces language and images that shape how people and social groups are seen. The paper says current efforts often focus too much on whether AI descriptions are factually accurate, even though many groups cannot be neatly defined and even accurate portrayals can still reinforce harmful stereotypes or lower social status. Instead, it argues the deeper issue is “misrecognition,” when AI systems fail to treat groups with proper respect and equal standing in society. The paper says a stronger approach for governing generative AI is to shift from “representational fairness” toward “recognitional justice,” focusing on whether AI supports fair social participation for all groups.
NIST AI Governance Framework Faces Adoption Challenges in Real-World Lending Tests
A new preprint says AI governance frameworks can look adopted on paper without actually improving oversight in real-world use. In a stress test of the NIST AI Risk Management Framework in consumer lending, the study found that the main challenge was not whether teams understood the framework, but whether their actions could connect across roles, authority levels, and real decision-making. The framework worked better for a more clearly bounded machine learning underwriting model than for an LLM-based underwriting assistant built into a workflow. The paper also found that real risk reduction was rare and appeared only when the framework fit the system well and produced meaningful governance value, showing why AI governance is often hard to put into practice.
FinTech Study Finds Agentic AI Governance Hinges on Verifiability and Audits
A new academic paper argues that the biggest challenge in using agentic AI in finance is not how powerful the systems are, but whether their decisions can be verified later. The study says banks and other financial firms may struggle to explain or reproduce AI-driven actions such as loan decisions, especially when models are hosted by outside providers that limit access to key controls and records. Tests across nine model versions found that local models were more repeatable, while commercial frontier systems often changed outcomes or could not fully recreate past decision paths. The paper introduces the idea of a “Verifiability Gap,” warning that firms should delegate authority to AI only when they can keep enough evidence to satisfy audits, regulators, or courts.
Study Reviews Five Years of Responsible AI Practices Across Industry
A new research review of 161 empirical studies published over the past six years says responsible AI has become a major focus inside technology companies, with more workers aware of the issue and more formal practices such as guidelines, audits, and toolkits now in use. The paper finds clear progress, but says day-to-day implementation still remains difficult for many industry teams. Common problems include limited training, weak or uneven support from company leadership, and a lack of practical tools that fit real workplace needs. The study argues that understanding these on-the-ground challenges is important for companies, researchers, and policymakers trying to make AI systems safer and more accountable.
Study Finds AI Agents Still Struggle With Open-Ended AI Research
A new research paper finds that today’s AI agents are still not able to carry out open-ended AI research on their own, even when given several days, strong frontier models, and thousands of dollars in compute. In two case studies based on unpublished high-quality AI papers, the agents handled the coding and engineering work without human help but failed to make meaningful progress on the core research questions. The original paper authors rejected both AI-produced results, pointing to repeated problems such as weak research judgment, lack of creativity, poor backtracking, limited resource awareness, and drifting away from instructions. The study says this is early evidence that current AI agents can support parts of AI research, but still struggle with the most important thinking and decision-making steps needed for publishable work.
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