AI News Archive: July 16, 2026 — Part 21
Sourced from 500+ daily AI sources, scored by relevance.
- Meta AI will bring parents into the loop when teens mention self-harm
Meta is adding parental alerts and human review to sensitive AI conversations involving teens who may be at risk of self-harm.
- Meta AI can now alert parents when their teens discuss self-harm
Meta has announced that parents can receive alerts when their teens discuss suicide or other forms of self-harm with its AI on Instagram , Facebook , or Meta Horizons. You’ll need to opt in to Meta’s supervision tools for parents and guardians in order to select the family accounts you want to supervise …
- ChatGPT will now remind teens to take breaks and give parents more controls
OpenAI is expanding ChatGPT's teen safety features with age prediction, break reminders, and stronger parental controls, while defending why teens deserve AI access at all.
- Slumping AI stocks drag down markets around the world
Slumping AI stocks drag down markets around the world Toronto Star
- Slumping AI stocks drag down markets around the world
Slumping AI stocks drag down markets around the world Houston Chronicle
- Slumping AI stocks drag down markets around the world
Slumping AI stocks drag down markets around the world Dallas News
- Ticker: Slumping AI stocks drag down markets; FDA approves pill to cut cholesterol
Ticker: Slumping AI stocks drag down markets; FDA approves pill to cut cholesterol Boston Herald
- Slumping AI stocks drag down markets around the world
Slumping AI stocks drag down markets around the world Boston Herald
- Slumping AI stocks overshadow gains for the rest of Wall Street, while oil prices drift
Slumping AI stocks overshadow gains for the rest of Wall Street, while oil prices drift San Francisco Chronicle
- Netflix says it's already used AI in 'roughly 300' titles this year
Don't expect that number to shrink any time soon.
- Cadence launches agentic AI platform AuraStack AI Super Agent
Cadence launches agentic AI platform AuraStack AI Super Agent verdict.co.uk
- TraphicLights.ai launches to solve enterprise AI governance at scale
TraphicLights.ai launches to solve enterprise AI governance at scale azcentral.com and The Arizona Republic
- Google rejects alarming report that says its Search AI tools are unsafe for kids
Google disputes a child-safety assessment of AI Overviews and AI Mode, arguing that its testing was unrealistic. The report documents troubling responses and questions whether parents have enough control over Search.
- AI humanoid robotics company sets up shop in Fremont
AI humanoid robotics company sets up shop in Fremont East Bay Times
- California rental ads would have to disclose if pictures used AI, under new bill
California rental ads would have to disclose if pictures used AI, under new bill The Mercury News
- Engineers develop robot that judges its surroundings and walks, runs, and jumps like an animal
An era in which robots decide "how to walk" on their own has arrived. A four-legged robot has been developed that, much like a person or an animal, autonomously chooses the appropriate gait strategy for its surroundings—changing its gait on stairs, leaping over gaps and keeping its balance on forest trails.
- STAT+: CMS signals intent to revamp how it pays for clinical software and AI
CMS wants to build a standardized payment structure for clinical software and AI that factors in their impact on patient outcomes.
- Google Vids now lets you star in your own AI videos
Google is adding personalized AI avatars to Vids that let users create videos starring a digital version of themselves, alongside Gemini Omni-powered tools for generating and editing videos from prompts and reference images.
- You can now edit videos in Google Vids by simply describing the changes
Google has added Gemini Omni and personal avatars to Vids, giving paid users new ways to create, edit, and present videos without traditional editing tools.
- AI chatbots more likely to criticise Western leaders than authoritarian ones, study finds
A Meta Oversight Board study found that leading AI chatbots are far more willing to criticise democratic leaders than authoritarian ones — raising fears the technology is quietly extending state censorship across borders.
- LLMs like ChatGPT often prioritize Western moral values, research shows
Large language artificial intelligence models, such as ChatGPT , often misjudge what people outside the West might value as a moral priority, according to our new research published in the Proceedings of the National Academy of Sciences . In 2024, we asked OpenAI’s GPT-3.5, GPT-4 and GPT-4o models to estimate the moral norms—shared ideas about right and wrong—of 48 nations and then compared them with a global sample of over 90,000 human participants. Both humans and AI models were asked to complete a moral foundations questionnaire , in which we measured the extent to which they endorsed six moral values. These foundations were care, equality, proportionality (rewarding individuals relative to their contribution), loyalty, authority, or respect for legitimate authorities, and purity (concern with preserving what is seen as natural or sacred). Participants were asked to rate how much they agreed with some moral statements. For example, to assess how much someone is concerned about purity, they evaluated statements such as “I think the human body should be treated like a temple, housing something sacred within” and “It upsets me when people use foul language like it is nothing.” AI models were then prompted to respond to the same statements as an “average citizen” from each of the 48 nations represented in the sample. Previous research by psychologist Mohammad Atari demonstrates that moral priorities across the world vary : Western societies tend to place greater emphasis on concerns such as individual rights and care, whereas several non-Western societies assign relatively greater importance to values such as purity. Notably, we found a similar calibration in AI models, with them systematically emphasizing values such as care, while placing less emphasis on values such as purity. Additionally, these models overestimated the broad moral concerns of Western nations, such as the U.S. and Australia, while underestimating those of several non-Western nations, such as Morocco and Nigeria. In other words, even when prompted to respond as an average citizen of a particular country, the models systematically aligned more with Western patterns of moral values. This finding is consistent with earlier research showing GPT’s “psychology” as more aligned with Western individuals . Why does it matter? Generative AI is increasingly used for a wide range of tasks across cultures, including education, therapy, communication, and even policy decisions. There is a real risk of cultural bias if AI assumes the whole world, ranging from Argentina and Egypt to Japan and Zimbabwe, ought to pursue the same values as the Western world. Imagine that an AI model helps draft public health messaging during a pandemic, moderates online content, translates a poem, or advises a company working across cultures. In each case, the system needs some model of what people care about: what is considered harmful, fair, disrespectful, or sacred. Our findings suggest that generative AI centers moral values in ways that are not consistent with those outside the Western world. This systematic inaccuracy, which scholar Jesse Graham and his team refer to as “ moral stereotyping ,” could lead to critical cultural missteps with real-world consequences. For instance, imagine users asking for advice on interpersonal conflicts or looking for feedback on work collaboration with international partners. In such situations, AI models may give advice or offer language that reflects mainly Western values while overlooking those that are most important in other cultures. This could perpetuate cultural biases or lead to conclusions that are not aligned with the perspectives of those from non-Western backgrounds. In short, if AI models misrepresent “human” values, they can amplify existing cultural blind spots and even create new disparities. What we don’t know While our research shows that GPT models inaccurately retrieve the moral profiles of non-Western nations, important questions remain. First, it remains unclear whether these patterns appear in newer models or models training in languages other than English. Second, the reasons for these moral distortions are not well understood. Models learn about the world through language, with much of their training data sourced from the internet, which is more accessible in the Western, English-dominant world. This is a plausible explanation for our results, but it needs to be tested directly. Third, it is not yet known whether these moral biases appear outside survey settings. Moral values shape decisions in fields where AI is increasingly being used, including education, health, communication, and workplace settings. Future studies may also need to test whether AI systems make similar errors in practice. The Research Brief is a short take about interesting academic work. Aliah Zewail is a PhD candidate in social psychology at UMass Amherst . Alexandra Figueroa is a postdoctoral scholar at the University of California, Berkeley . This article is republished from The Conversation under a Creative Commons license. Read the original article .
- Inside China's push to power AI with data
Inside China's push to power AI with data
- Suno brings its gen AI music gunk to iMessage
Maybe just sing a silly song in a voice note instead?
- You can now generate songs in your iMessage chats
Suno’s latest iOS update lets users generate 30-second songs from typed prompts, voice recordings, and messages inside iMessage.
- Credibility, context more critical for PR in the age of AI
Rather than focusing solely on visibility metrics, organizations should ensure their brands are represented consistently across credible sources.
- AI Chips Drive Around A Third Of TSMC Revenues
AI Chips Drive Around A Third Of TSMC Revenues
- Xpeng L03 fastback crossover, with AI features, targets Tesla Model Y
Xpeng L03 fastback crossover, with AI features, targets Tesla Model Y Automotive News
- This sleek Chinese EV pairs supercar styling with three AI brains
Xpeng’s globally focused L03 combines three in-house AI chips, deeply integrated Google Maps, two powertrain choices, and enough towing and cargo capability for proper road trips.
- ChatGPT’s new search tool saves you from digging through old chats, files, and images
No more digging through months of ChatGPT history, this new sidebar search finds chats, files, and images in seconds, with filters to narrow results.
- Nvidia-backed startup Fireworks valued at $17.5 billion in latest funding
Nvidia-backed startup Fireworks valued at $17.5 billion in latest funding Reuters
- Nvidia-backed Fireworks hits $17.5 billion valuation as companies pursue cheaper AI models
Fireworks once relied heavily on revenue from coding startup Cursor, but has diversified in the past year as more companies reach for lower-cost AI models.
- AI infrastructure startup Fireworks closes $1.5B round at $17.5B valuation
Fireworks AI Inc., a startup that helps developers train and run artificial intelligence models, has raised $1.5 billion in funding. Atreides Management, Index Ventures and TCV jointly led the Series D round. Fireworks stated in its funding announcement Wednesday that they were joined by more than a half-dozen other backers, including Nvidia Corp. The company […] The post AI infrastructure startup Fireworks closes $1.5B round at $17.5B valuation appeared first on SiliconANGLE .
- Chinese filing implies DeepSeek valuation of around $52 billion
Anhui Korrun's subsidiary invested 2.90 billion yuan in DeepSeek. This investment secured an indirect 0.8265% stake in the company. The deal implies the artificial intelligence startup was valued at 350.88 billion yuan. This stock-exchange filing offers rare public evidence of DeepSeek's fundraising. The low-profile company has never publicly announced or detailed this valuation.
- Ex-Ultrahuman exec raises $5.5 million for AI-native hardware startup Aina
The funding will be used to bring Aina's flagship hardware product to market and expand its engineering teams across Bengaluru and San Francisco. Founded in 2025, Aina has spent the past year operating in stealth as "Project Mirage", experimenting with human-computer interaction (HCI) for AI-powered devices.
- Singapore enterprise AI startup Whale raises $40m more in Series C
Singapore enterprise AI startup Whale raises $40m more in Series C DealStreetAsia
- Physical AI startup SwitchOn raises $8 Mn in pre-Series B round led by IvyCap
Bengaluru-based Physical AI startup SwitchOn has raised $8 million (around Rs 78 crore) in a pre-Series B funding round led by IvyCap Ventures. The round also saw participation from SIG Tattva and Trifecta Capital. This marks SwitchOn's third major funding round after raising $1.1 million in seed funding and $4.2 million in its Series A round. The fresh capital will be used to expand internationally, strengthen research and development, and scale its go-to-market operations across manufacturing sectors. Founded by Aniruddha Banerjee and Avra Banerjee, SwitchOn develops AI-powered quality inspection systems for manufacturers. Its platform integrates computer vision and AI directly into factory equipment to automate defect detection and quality checks. The startup's flagship product, DeepInspect, helps manufacturers identify defects in products during production using edge-based computer vision technology. According to the company, the platform can inspect products at high speeds while reducing quality-related costs. SwitchOn serves manufacturers across sectors including consumer goods, electronics, automotive and pharmaceuticals. Its customers include Unilever, Bosch, Maruti Suzuki and ALPA. The firm claims to have deployed across more than 170 production lines in over 60 manufacturing facilities across four continents. Commenting on the fundraise, co-founder Aniruddha Banerjee said the company aims to build AI-driven systems that automate quality inspection and support zero-defect manufacturing. With the latest funding, SwitchOn joins a growing list of Physical AI startups attracting investor interest. Recently, Hakimo raised $12 million, Human Archive secured $8.2 million in seed funding, and Mowito raised $3 million in a pre-seed round led by Version One Ventures. Meanwhile, Neocambrian AI launched an India-focused robotics data factory to build training datasets for Physical AI models, highlighting growing activity across the sector.
- London-based Applied Computing raises €17.4 million to scale AI that works for the energy industry
Applied Computing, a London-based AI company building foundation AI for energy operators, today announced a €17.4 million ($20 million) funding round, as well as its expansion into the United States, with the opening of a new office in Houston, Texas. The round was led by KBR, with Databricks Ventures also joining the round as a […] The post London-based Applied Computing raises €17.4 million to scale AI that works for the energy industry appeared first on EU-Startups .
- logcat.ai Bags $2.5 Mn To Build AI Platform For Android, Linux Engineering
Enterprise AI startup logcat.ai has raised $2.5 Mn (about ₹24 Cr) in a pre-seed funding round led by US-based seed…
- A boutique AI cloud provider is bringing the direct listing back
A boutique AI cloud provider is bringing the direct listing back PitchBook
- Atlanta-based AI infrastructure company goes public
Financial information filed with the U.S. Securities and Exchange Commission shows that the company has been losing money on its operations since 2024.
- Knife Capital backs local AI agent business
Cape Town-headquartered Cue secures an R82 million funding round, co-led by the venture capital firm and FAM Investments.
- Google's NotebookLM is now Gemini Notebook
Google already baked NotebookLM into Gemini, now it's changing the name to reflect the tighter integration
- China's open-weight Kimi model stuns AI world with frontier-level results
Chinese AI startup Moonshot AI stunned developers on Thursday with a massive new model that may rival the best American systems at a fraction of the cost. Why it matters: Kimi K3's early performance is fueling awe across the AI world — and alarm in Silicon Valley and Washington — as China appears to be rapidly erasing America's lead in advanced AI. Catch up quick: Moonshot says Kimi K3 contains 2.8 trillion total parameters, making it one of the largest open-weight AI models ever released. It has a 1 million-token context window, allowing it to process enormous amounts of text at once, and can work across text and images. In blind testing by AI evaluator Arena , developers preferred Kimi over every leading U.S. model for front-end coding — including Anthropic's Fable 5 and OpenAI's GPT-5.6 Sol. In Arena's broader text ranking , K3 also outranked the standard version of Anthropic's Opus 4.8 — a model that sat at the frontier of AI just weeks ago — and tied Sol. The big picture: Moonshot is offering K3 at prices well below the premium models it is challenging, raising fresh questions about how long U.S. labs can charge top dollar for frontier-level intelligence. What they're saying: "Right now, it's a U.S. versus China question," Mozilla CTO Raffi Krikorian told Axios. U.S. AI labs are "clearly worried," he said, arguing that their CEOs would have little reason to lobby Washington against open-weight models — a category led by Chinese companies — unless they viewed them as a serious competitive threat. Zoom out: Kimi's launch comes just before the 2026 World Artificial Intelligence Conference in Shanghai, where Chinese President Xi Jinping is expected to lay out Beijing's AI priorities. Moonshot's domestic rival DeepSeek is also expected to release an updated model soon, raising the prospect of another major Chinese breakthrough in quick succession. Yes, but: Kimi has been available for only hours, and early benchmarks and viral demonstrations may overstate how reliably it performs across real-world work. Moonshot says it will release K3's weights on July 27, meaning developers cannot independently inspect, modify or run the model themselves yet. The bottom line: America's lead in advanced AI is shrinking by the month, as Chinese labs race to make frontier-level intelligence cheaper and more widely available. .
- China’s Moonshot throws down the gauntlet with Kimi K3, the world’s largest open-weights model
Chinese artificial intelligence lab Moonshot AI today announced the imminent release of Kimi K3, its latest large language model, and already, it’s sending shockwaves across the AI industry. That’s not only because it’s believed to be the world’s largest open-source model to date, but because benchmarks show it outperforms the best models from OpenAI Group PBC […] The post China’s Moonshot throws down the gauntlet with Kimi K3, the world’s largest open-weights model appeared first on SiliconANGLE .
- Kimi K3 Preview: Benchmark Videos Flood Social Media as Moonshot AI New Model Approaches Fable 5 Level
Moonshot AI mysterious Kivine model appears on Arena benchmark, with user tests showing K3 rivaling Fable 5 in video generation detail and animation smoothness.
- Kimi's open model K3 nears GPT-5.6 Sol and Fable 5 while signaling the end of super cheap Chinese AI
Kimi is launching K3, a multimodal open-weight model with 2.8 trillion parameters and one million tokens of context. In the company's own benchmarks, it comes close to Claude Fable 5 and GPT 5.6 Sol while beating Opus 4.8 and GLM 5.2, in some cases by a wide margin. The model is also significantly pricier than its predecessor. Full weights are scheduled for release by July 27. The article Kimi's open model K3 nears GPT-5.6 Sol and Fable 5 while signaling the end of super cheap Chinese AI appeared first on The Decoder .
- Google Gemini launch delayed as tech falls short of internal goals, Bloomberg News reports
Google Gemini launch delayed as tech falls short of internal goals, Bloomberg News reports Reuters
- Japan to Develop Homegrown AI Models With Nvidia’s Vera Rubin Chips
Japan to Develop Homegrown AI Models With Nvidia’s Vera Rubin Chips The Information
- Nvidia launches Cosmos 3 Edge model and expands its physical AI push in Japan
Nvidia Corp. has unveiled Cosmos 3 Edge, a compact world model built to run vision reasoning and robot control directly on edge devices, alongside a wave of partnerships that pushes its physical artificial intelligence platform deeper into Japan’s robotics and manufacturing base. The model can handle 4 billion parameters and is built on Nvidia’s Nemotron family. […] The post Nvidia launches Cosmos 3 Edge model and expands its physical AI push in Japan appeared first on SiliconANGLE .
- Thinking Machines Lab’s First Model Gives Nod to Chinese Open Source AI
Thinking Machines Lab’s First Model Gives Nod to Chinese Open Source AI The Information