AI News Archive: July 16, 2026 — Part 1
Sourced from 500+ daily AI sources, scored by relevance.
- OpenAI's first hardware device is an RGB macropod — 'Codex Micro' features 13 low-profile keys and a joystick for controlling AI coding agents
OpenAI has launched the "Codex Micro" marcopad in collaboration with Work Louder. It uses RGB to provide feedback about your coding agents in Codex, and features various customizable inputs to maximize your vibecoding potential.
- AI and a brain implant restored a paralysed man’s movement and touch
Researchers have restored hand movement and the sense of touch to a man paralysed from the chest down. The results, published in Nature Medicine, suggest the technology partly rewired his nervous system. The system, called a “double neural bypass,” comes from the Feinstein Institutes for Medical Research, the research arm of Northwell Health, the team […] This story continues at The Next Web
Score: 98🌐 MovesJul 16, 2026https://thenextweb.com/news/feinstein-double-neural-bypass-bci-paralysis-nature-medicine - Meta to Alert Parents If Their Kid Mentions Suicide to Its AI Chatbots
Meta to Alert Parents If Their Kid Mentions Suicide to Its AI Chatbots PCMag
Score: 97🌐 MovesJul 16, 2026https://www.pcmag.com/news/meta-to-alert-parents-if-their-kid-mentions-suicide-to-its-ai-chatbots - Suno trained its AI on millions of songs from YouTube Music, Deezer and other sites, new hack reveals — and critics have branded it 'staggering theft'
Suno has previously faced criticism for building an AI song creator on copyrighted works, and here's more evidence.
- TSMC plans further $100bn US investment to feed AI demand
TSMC plans further $100bn US investment to feed AI demand Nikkei Asia
Score: 95🌐 MovesJul 16, 2026https://asia.nikkei.com/business/tech/semiconductors/tsmc-plans-further-100bn-us-investment-to-feed-ai-demand - China beats Elon Musk’s Neuralink to the world’s first commercial brain-computer interface implant — car crash victim given coin-sized chip that turns neural signals into hand movements
Regulatory approval of brain implants in China mean they can now be fixed to the brains of anyone who wants to try them.
- Deepfake fraud losses hit US$3.7B as scams spread beyond social media
Deepfake fraud is no longer a fringe cybercrime problem built around crude celebrity videos or novelty face swaps. New data tracking publicly reported incidents from January 2020 to June 2026 shows recorded global losses have reached US$3.7 billion, with the sharpest acceleration coming in the past 18 months. The findings were revealed by a study […] The post Deepfake fraud losses hit US$3.7B as scams spread beyond social media appeared first on e27 .
Score: 93🌐 MovesJul 16, 2026https://e27.co/deepfake-fraud-losses-hit-us3-7b-as-scams-spread-beyond-social-media-20260715/ - Google Ordered to Give A.I. Rivals More Access on Android Smartphones
The decision by European Union regulators is a response to fears that Google will use its vast Android user base to gain an edge in A.I.
- Elon Musk spent estimated $1 billion on an energy company to power xAI, filings reveal — APR Energy owns a fleet of trailer-mounted gas and diesel turbines capable of generating more than 1 gigawatt
An FTC document revealed that Elon Musk purchased APR Energy, a mobile natural gas and diesel turbine generator provider, for an estimated $1 billion. The deal wasn't announced publicly and was only discovered after the FTC filing.
- Japan Government, Industrial Leaders and NVIDIA Launch the World’s First National AI Infrastructure
NVIDIA today announced it is working with Noetra Corp. to launch an NVIDIA Vera Rubin AI factory with 13,750 NVIDIA Vera CPUs and 27,500 NVIDIA Rubin GPUs for national physical AI.
- Fireworks AI raised $1.5 billion as companies flee costly AI for open-source alternatives
The AI infrastructure startup surpassed $1 billion in annualized revenue, up fivefold year-over-year, as companies seek cheaper alternatives to frontier models
Score: 89💰 MoneyJul 16, 2026https://qz.com/fireworks-ai-series-d-fundraise-valuation-open-source-071626 - STAT+: Medicare wants to shake up how it pays for clinical AI
In this edition of STAT Health Tech: Centers for Medicare and Medicaid Services proposes major changes to RPM, clinical AI payment models.
Score: 89🌐 MovesJul 16, 2026https://www.statnews.com/2026/07/16/medicare-shake-clinical-ai-rpm-payments-health-tech/?utm_campaign=rss - Hyundai Motor Group to buy SoftBank's remaining stake in Boston Dynamics
The deal will provide Hyundai Motor Group with greater flexibility to manage Boston Dynamics, enabling long-term investment, strategic decisions, and a potential IPO
- Nvidia unveils new AI model and expands Japan’s physical AI ecosystem
Nvidia announces new AI model, Cosmos 3 Edge, and expansion of its physical AI ecosystems in Japan.
Score: 89🤖 ModelsJul 16, 2026https://www.cnbc.com/2026/07/16/nvidia-reveals-new-ai-model-and-expands-japans-physical-ai-ecosystem.html - Neko Health raises $700 million to expand AI body scans in the US
Neko Health has raised $700 million to expand its AI body scans in the United States, starting with a clinic in New York. The company’s preventive screening service combines medical imaging, blood tests, proprietary sensors, and clinician review. The Series C round was led by Lightspeed Venture Partners and co-led by O.G. Venture Partners. Existing […] The post Neko Health raises $700 million to expand AI body scans in the US appeared first on AI News .
Score: 88💰 MoneyJul 16, 2026https://www.artificialintelligence-news.com/news/neko-health-700m-ai-body-scans-us/ - AI model creates functional CRISPR-like nucleases beyond nature’s designs
AI model creates functional CRISPR-like nucleases beyond nature’s designs EurekAlert!
- AI now accounts for 87% of Publicis revenue as marketing giant deepens data bets
Artificial intelligence is no longer an experimental tool inside Publicis Groupe. It has become the company's primary growth engine.According to its first-half 2026 results, 87% of Publicis' net revenue now comes from AI-powered marketing services, including media, data, creative, commerce, CRM and production. That business delivered 6.5% organic growth in the second quarter, comfortably outperforming the group's overall growth rate of 4.8%.The strongest contribution came from Publicis' Connected Media operations, which posted high single-digit growth, while its Intelligent Creativity business recorded low single-digit growth. Together, the businesses continue to attract larger marketing budgets as brands increasingly seek AI-led consumer targeting, measurement and content capabilities.Publicis has reinforced that strategy through acquisitions. During the first half, the company acquired Adge.AI, a content intelligence platform; 160over90, a sports and culture marketing agency; and announced the acquisition of LiveRamp, a major data collaboration and identity platform. The deals expand Publicis' presence in data connectivity, sports marketing and AI-enabled marketing infrastructure.The contrast with the group's technology consulting business was stark. Publicis said its Technology division, which represents 13% of net revenue, continued to face pressure as clients delayed large-scale transformation projects and capital-intensive technology spending. The division recorded a mid-single-digit decline during the quarter.Arthur Sadoun said the company's strategy differs from many industry peers because it is investing in capabilities clients increasingly need to compete in an AI-first economy. The company believes AI is not only improving efficiency but also creating new revenue opportunities through deeper client relationships and expanded services.For investors, the results offer a clear signal of where growth is emerging in the communications industry. Advertising groups that can combine data, media, AI and creativity are seeing stronger momentum than traditional consulting-led businesses, a trend Publicis expects to continue over the coming years.
- How Terrorist Groups Are Using A.I. to Gain an Edge in Battle
A.I. chatbots are not just a propaganda tool for violent extremists but are aiding in bomb construction and attack planning, new research finds.
Score: 88🌐 MovesJul 16, 2026https://www.nytimes.com/2026/07/10/us/politics/ai-terrorism-boko-haram-nigeria.html - Ex-OpenAI CTO Murati's Thinking Machines drops Inkling, a 975B parameter model that leads US labs but trails China
Thinking Machines Lab, founded by former OpenAI CTO Mira Murati, has released Inkling, a multimodal open-weights model with 975 billion parameters. It leads U.S. open-weights models on the Artificial Analysis Intelligence Index, though top Chinese open models still beat it on some tasks. Pricing starts at $1.87 per million input tokens, and Thinking Machines is pitching Inkling as a base for fine-tuning rather than the most powerful model available. The article Ex-OpenAI CTO Murati's Thinking Machines drops Inkling, a 975B parameter model that leads US labs but trails China appeared first on The Decoder .
- Twenty-nine countries sign agreement to establish global AI cooperation body
Twenty-nine countries sign agreement to establish global AI cooperation body Reuters
- Moonshot AI Releases Kimi K3: A 2.8 Trillion Parameter Open MoE Model With Kimi Delta Attention and 1M Context
Moonshot AI Releases Kimi K3: A 2.8 Trillion Parameter Open MoE Model With Kimi Delta Attention and 1M Context MarkTechPost
- Sonus Microsystems’ Autonomous Ultrasound AI Platform Selected for Major ARPA-H Maternal Health Award
Sonus Microsystems’ Autonomous Ultrasound AI Platform Selected for Major ARPA-H Maternal Health Award Toronto Star
- Germany puts Google's AI Overviews and Perplexity under media law in first-of-its-kind ruling
German media regulators say Google's AI Overviews are Google's own content, not neutral search results, and that they crowd out regular links. The regulators have issued their first rulings against Google and Perplexity under the country's State Media Treaty. Both companies have one month to appeal. The article Germany puts Google's AI Overviews and Perplexity under media law in first-of-its-kind ruling appeared first on The Decoder .
- The $16 billion AI project that has one town worried about its water supply
Mounting voter concerns over land use and resources have made data centers a national issue
- Inside Ukraine's War Robot Revolution
Inside Ukraine's War Robot Revolution Business Insider
Score: 85🌐 MovesJul 16, 2026https://www.businessinsider.com/inside-ukraines-war-robot-revolution-2026-7 - Meta accused of using AI to pick employees with medical conditions for layoffs
Twenty-six current and former Meta employees, including some from California, allege the company violated federal and state laws. Meta denied the accusations.
- Anthropic Inches Toward a Mega-I.P.O.
The artificial intelligence lab is said to have taken more steps that are consistent with a company aiming to go public in the fall.
Score: 85💰 MoneyJul 16, 2026https://www.nytimes.com/2026/07/16/business/dealbook/anthropic-ipo-ai.html - Artificial intelligence and quantum chemistry unveil next-generation "dual-modulated" catalysts for fuel cells
Artificial intelligence and quantum chemistry unveil next-generation "dual-modulated" catalysts for fuel cells EurekAlert!
- iOS 27 public betas are out, Siri AI hands on, and Apple sues OpenAI
Benjamin and Chance talk about their latest experiences with iOS 27 and Siri AI, with Apple releasing the public betas this week so anyone in the whole world can give the new software a go. The company also sued OpenAI this week in a high-profile case over alleged trade secrets theft. And, as is tradition, the Apple Store Back to School offer underwhelms. And in Happy Hour Plus , Mayo gets a new work laptop which complicates his future Mac buying decisions. Subscribe at 9to5mac.com/join . Sponsored by Shopify : All you need is the idea. Shopify handles the rest. Start your free trial at shopify.com/happyhour . Sponsored by Quince : Refresh your wardrobe with Quince. Visit quince.com/happyhour for free shipping on your order and 365-day returns. Sponsored by Framer : The only free design tool that brings your ideas to the web. Visit framer.com/happyhour for 30% off a Framer Pro annual plan. Sponsored by Square : Get up to $200 off Square hardware when you sign up at square.com/go/happyhour .
- China Just Dropped Another Bomb on America’s Frontier AI Companies
Moonshot's Kimi K3 beat Claude Fable 5 and GPT 5.6 in some benchmarks... and it's an open model.
Score: 85🌐 MovesJul 16, 2026https://gizmodo.com/china-just-dropped-another-bomb-on-americas-frontier-ai-companies-2000786670 - China’s First AI Companion Rules to Curb Addiction, Protect Minors
China’s First AI Companion Rules to Curb Addiction, Protect Minors Caixin Global
- China’s Moonshot AI releases Kimi K3, the largest open-source model ever, rivaling top U.S. systems
Moonshot AI, the Beijing-based artificial intelligence startup backed by Alibaba, on Thursday released Kimi K3 — a 2.8-trillion-parameter model that the company says is now the largest open-source AI model in the world, and one that benchmarks show performs neck-and-neck with the most powerful proprietary systems from Anthropic and OpenAI . The release, timed to land just ahead of the 2026 World Artificial Intelligence Conference in Shanghai, is a dramatic escalation in the global AI arms race and a watershed moment for the open-source AI movement. It also marks a remarkable comeback for a company whose market position had eroded significantly over the past 18 months following DeepSeek's meteoric rise. Full model weights are scheduled to be released on July 27, according to details shared by researchers who reviewed the company's technical documentation. If you want to take Kimi K3 for a spin right now, you can — just head to kimi.com , sign up with a Google account or phone number (no credit card required), and start chatting with what may be the most powerful open-source model ever built. Inside the architecture that powers the world's largest open-source AI model Kimi K3 is a frontier-class large language model with 2.8 trillion total parameters — roughly 75 percent larger than DeepSeek's V4 Pro , which the company's own timeline chart shows at approximately 1.6 trillion parameters. The model features a 1-million-token context window, native visual understanding capabilities, and an always-on reasoning mode that the company calls "thinking mode." The model is built on two key architectural innovations developed internally at Moonshot AI: Kimi Delta Attention , a hybrid linear attention mechanism, and Attention Residuals , which the company describes as a drop-in replacement for residual connections that delivers consistent scaling gains. Both techniques were previously published as open research by the Moonshot team on GitHub . On the API side , Kimi K3 is compatible with the OpenAI SDK , lowering the integration barrier for developers already building on OpenAI or Anthropic toolchains. The model is priced at $3 per million input tokens and $15 per million output tokens, with cached input tokens dropping to just $0.30 per million — pricing that positions it roughly in line with mid-tier offerings from Western labs, but at a performance level the company claims approaches the top of the market. A promotional top-up rebate running through August 12 offers up to 30 percent back in vouchers for API credits of $1,000 or more. As Xinhua reported , a Moonshot AI executive explained the significance of the parameter count in simple terms: parameters are like neural connections in the human brain, and nearly 3 trillion of them means the model can "store more knowledge and patterns in its brain, understand more, think deeper, and answer more accurately." Benchmark results show Kimi K3 trading blows with Claude and GPT at the top of the leaderboard The benchmark results, drawn from public leaderboard data and a private evaluation by analytics firm Artificial Analysis, tell a striking story. On GDPval-AA v2 , a benchmark measuring real-world tasks across 44 occupations and 9 major industries, Kimi K3 scored 1,687 — placing it third overall, behind only Claude Fable 5 Max (1,815) and GPT-5.6 Sol Max (1,747.8), and ahead of Claude Opus 4.8 (1,600). On AA-Briefcase , a private agentic benchmark from Artificial Analysis designed to test long-horizon knowledge work, K3 climbed to second place with a score of 1,527 — beating GPT-5.6 Sol Max (1,495) and trailing only Fable 5 Max (1,587). Perhaps most impressively, K3 achieved a state-of-the-art score of 91.2 out of 100 on BrowseComp , a benchmark for long-horizon, high-difficulty information seeking. The company says it accomplished this in a single-agent setup using its 1-million-token context window, without any context compression or additional context management techniques — a feat that suggests raw context length, when paired with strong retrieval capabilities, may be more powerful than elaborate multi-agent workarounds. As one widely followed AI commentator put it on social media: "Open source is no longer lagging six months behind Western closed-source models. Read that again, and think about what it all means." That observation captures the significance of the moment. For much of the past three years, open-source models have typically trailed their proprietary counterparts by a meaningful margin. Kimi K3 appears to have closed that gap almost entirely. How a 48-hour autonomous chip design demo reveals Moonshot's real ambitions Beyond raw benchmarks, Moonshot AI showcased a proof-of-concept that may be even more revealing of K3's capabilities and the company's strategic direction. In a demonstration documented in the company's technical materials, Kimi K3 was tasked with designing a physical chip to run a nano-scale version of itself. Over 48 hours of continuous autonomous agent operation, K3 independently completed the chip's full construction pipeline — from architectural design through optimization and verification — using open-source electronic design automation tools. The result was a tiny but functional chip design, just 4 square millimeters, that achieved timing convergence at 100 MHz and could decode more than 8,700 tokens per second in simulation. This is not a production chip. It is a demonstration of what Moonshot AI clearly views as the next competitive frontier: long-range autonomous agent capabilities. The ability to sustain coherent, multi-step technical work over a 48-hour window — reading documentation, making design decisions, running verification loops, and iterating on failures — represents a qualitative leap beyond the kind of single-turn question-answering that defined the first generation of large language models. The company also highlighted a case in computational astrophysics, where K3 reportedly reproduced the universal I-Love-Q relation — a complex calculation that typically takes a senior researcher one to two weeks — in approximately two hours, reading and cross-validating more than 20 papers and implementing a complete numerical pipeline along the way. Moonshot AI's fall and rise tells the story of China's brutal AI market To understand why Kimi K3 matters, you need to understand where Moonshot AI was 18 months ago — and how far it fell. Founded in 2023 by Yang Zhilin , a Tsinghua University graduate who previously conducted research at Google and Meta, Moonshot AI quickly became one of China's most prominent AI startups. The company gained early traction in 2024 when users flocked to its Kimi platform for its long-text analysis capabilities and AI search functions. By early 2026, it had raised roughly $1.5 billion across multiple rounds, with its valuation climbing from $2.5 billion to $4.3 billion and the company reportedly seeking a new round at $5 billion . Then DeepSeek happened. The release of DeepSeek's low-cost R1 model in January 2025 disrupted the entire Chinese AI landscape, and Moonshot AI was among the hardest hit. Kimi, which had ranked third in monthly active users in China, slid to seventh. The company's strategic pivot to open-source models — beginning with Kimi K2 in July 2025 and accelerating with K2.5 in January 2026 — was in large part an effort to reclaim relevance. Kimi K3 is the culmination of that effort — and the sheer scale of the model suggests that Moonshot AI has been planning this move for some time. Training a 2.8-trillion-parameter model requires enormous computational resources and months of preparation, which means the architectural and infrastructure decisions behind K3 were likely locked in well before the model reached the public. Why open-sourcing the world's biggest model is a geopolitical chess move The decision to release K3's full weights on July 27 is strategically significant and worth parsing carefully. The company's own timeline chart of open-source frontier model scale positions K3 as a dramatic outlier, towering above competitors like DeepSeek (1.6T), Xiaomi (1.02T), and Alibaba (397B). By releasing the world's largest open-source model, Moonshot AI is making a bid to become the center of gravity for the global open-source AI developer community. This follows a broader trend among Chinese AI companies. As Reuters noted , open-sourcing allows companies to "showcase their technological capabilities and expand developer communities as well as their global influence, a strategy likely to help China counter U.S. efforts to limit Beijing's tech progress." DeepSeek, Alibaba, Tencent, and Baidu have all released open-source models. But none have released anything at this parameter count. For enterprise technology leaders, the implications are concrete. A 2.8-trillion-parameter open-source model that performs at near-frontier levels creates new options for companies that want to fine-tune, self-host, or build proprietary systems on top of a capable base model — without being locked into API contracts with OpenAI or Anthropic. The trade-off, of course, is that running a model of this size requires substantial GPU infrastructure. Inference at 2.8 trillion parameters is not something that runs on a single server rack. That said, Moonshot AI has signaled awareness of this challenge. Its Mooncake project, which won the Best Paper award at FAST 2025, pioneered KV-cache-centric disaggregated serving for large language models — an architecture designed specifically to make inference at extreme scale more practical and cost-efficient. Kimi Code and a three-tier model lineup form the foundation of Moonshot's enterprise play Alongside K3, Moonshot AI continues to invest heavily in its coding agent ecosystem. Kimi Code , the company's open-source coding tool that competes with Anthropic's Claude Code and Google's Gemini CLI, received two major updates on the same day as K3's launch — versions 0.25.0 and 0.26.0 — adding features like expanded subagent tooling, background task management, and security fixes. The Kimi Code CLI has accumulated over 3,100 stars on GitHub and features integration with VSCode, Cursor, and Zed. The latest release expanded the "coder subagent" tool set to include background tasks, todo lists, plan mode, skill invocation, and nested agents — effectively turning the coding agent into a multi-layered autonomous system capable of managing complex software engineering projects with minimal human intervention. This is not incidental. Coding tools have become a critical revenue driver for AI labs. As Anthropic disclosed in January, Claude Code reached $1 billion in annualized recurring revenue . By building Kimi Code as an open-source alternative that defaults to Kimi's own models — but supports other providers — Moonshot AI is positioning itself to capture developer workflows and, eventually, enterprise contracts. The company's model lineup now includes three tiers: K3 as the flagship ($3/$15 per million tokens for input/output), K2.7 Code as a specialized coding model ($0.95/$4), and K2.6 as a general-purpose option ($0.95/$4). All three support context windows of 256,000 tokens or above, with K3 offering the full 1-million-token window. Context caching is automatic — no cache ID, TTL, or extra parameter is required — a small but meaningful developer-experience advantage over competitors that require explicit cache management. What Kimi K3 means for the future of enterprise AI and the global model landscape Kimi K3's release forces a recalibration of several assumptions that have guided enterprise AI strategy. The performance gap between open-source and proprietary models has functionally closed at the frontier. If K3's benchmark numbers hold up under independent evaluation — and particularly once the open weights are available for community testing on July 27 — it will be difficult for closed-source providers to justify premium pricing purely on the basis of capability. The locus of AI innovation, meanwhile, continues to shift. China's AI ecosystem, which many Western observers questioned after early struggles with chip export restrictions, has now produced a model that competes with the best systems from companies with direct access to Nvidia's most advanced hardware. The architectural innovations behind K3 — particularly the hybrid linear attention mechanism — suggest that algorithmic efficiency may matter as much as raw compute. And the agentic capabilities demonstrated by K3 — chip design, multi-week research compression, long-horizon information seeking — point toward a future where AI models are not just answering questions but autonomously executing complex, multi-day projects. For enterprises evaluating AI investments, this shifts the value proposition from "productivity copilot" to "autonomous technical workforce." Xinhua , China's state news agency, framed the release as a national milestone, reporting that K3 "marks a new step forward in the development of China's artificial intelligence models." Liu Tieyan, dean of the Zhongguancun Academy in Beijing, was quoted as saying that a wave of Chinese open-source models has moved from isolated breakthroughs to collective advancement, providing "new solutions and new paths" for global AI development. Just two years ago, Moonshot AI was a scrappy startup named for the audacious problems it hoped to solve. Eighteen months ago, it was a cautionary tale about how quickly a market darling can lose its footing. Today, it is the maker of the world's largest open-source AI model — one that can, given 48 hours and an internet connection, design a chip to run itself. The frontier, it turns out, is not a place. It is a race. And the field just got a lot more crowded.
- South Korea raises rates for first time since 2023 on AI chip boom
South Korea raises rates for first time since 2023 on AI chip boom The Straits Times
Score: 83🌐 MovesJul 16, 2026https://www.straitstimes.com/business/economy/south-korea-raises-rates-for-first-time-since-2023-on-ai-chip-boom - Chinese filing implies DeepSeek valuation of around $52 billion
Chinese filing implies DeepSeek valuation of around $52 billion Reuters
- AI-guided strategy uncovers new gp130 inhibitor for colorectal cancer
AI-guided strategy uncovers new gp130 inhibitor for colorectal cancer EurekAlert!
- 1Password's new Agentic Mode lets Claude log into your accounts without seeing your credentials
1Password wants to solve one of AI's biggest practical problems: secure logins. Its Claude integration can enter passwords and MFA codes without exposing credentials to Anthropic or the model.
- Apple Approaches Chip Startups for Potential Acquisitions as It Looks to Strengthen AI Efforts: Report
Apple is reportedly in talks with semiconductor startups for potential acquisitions. The company is said to have had words with bankers about possible deals. The interest in chip acquisitions comes as the company face challenges with its internal AI servers, which currently run on internally designed M2 Ultra chips.
- China And AI Lead Asia’s Startup Funding To Multiyear Peak In Q2
China And AI Lead Asia’s Startup Funding To Multiyear Peak In Q2 Crunchbase News
Score: 82🌐 MovesJul 16, 2026https://news.crunchbase.com/venture/data-china-ai-lead-asia-startup-funding-peak-q2-2026/ - AI-powered software could recover 300GW of hidden capacity for the US power grid, enough to power thousands of AI data centers
GridCARE claims its software can unlock 300 GW of hidden transmission capacity, easing rising electricity demand without expanding infrastructure.
- AI flags 250,000 cancer studies as scientists warn of fake research surge
AI flags 250,000 cancer studies as scientists warn of fake research surge Gulf News
- The AI Backlash Has Tech Executives Fearing for Their Lives
Violent threats against artificial-intelligence companies are rising and spilling over into real-world security incidents.
- L3Harris and Shield AI complete autonomous electronic warfare flight test
MELBOURNE, Fla. (July 16, 2026) — L3Harris Technologies (NYSE: LHX) and Shield AI have completed the first flight test of the electromagnetic battle management ecosystem known as Distributed Spectrum Collaboration and Operations (DiSCO™) with Shield AI’s Hivemind mission-autonomy software. The flight demonstration, performed on an L3Harris Green Wolf, marks a significant milestone in autonomous electronic warfare following a simulated […]
Score: 80🌐 MovesJul 16, 2026https://shield.ai/l3harris-and-shield-ai-complete-autonomous-electronic-warfare-flight-test/ - China's Xi to outline AI diplomacy vision at key Shanghai forum
China's Xi to outline AI diplomacy vision at key Shanghai forum Reuters
Score: 80🌐 MovesJul 16, 2026https://www.reuters.com/world/china/chinas-xi-outline-ai-diplomacy-vision-key-shanghai-forum-2026-07-16/ - Meta Oversight Board finds top AI models less likely to criticize repressive regimes
Meta Oversight Board finds top AI models less likely to criticize repressive regimes Reuters
- xAI can’t deny Grok makes CSAM anymore. So it’s suing users.
Elon Musk's xAI files first lawsuit against Grok user accused of making child sex images.
Score: 80🌐 MovesJul 16, 2026https://arstechnica.com/tech-policy/2026/07/xai-cant-deny-grok-makes-csam-anymore-so-its-suing-users/ - UCSF Health, Kleiner Perkins, and Doerr Capital launch a new model for building healthcare AI
UCSF Health, Kleiner Perkins, and Doerr Capital launch a new model for building healthcare AI EurekAlert!
- ASML beats forecasts, lifts outlook as AI demand surges
ASML reports stronger-than-expected results, citing increased demand for AI-related chip manufacturing.
Score: 80🌐 MovesJul 16, 2026https://ioplus.nl/en/posts/asml-beats-forecasts-lifts-outlook-as-ai-demand-surges- - Noetra Launches Full-Scale R&D for Japan-Developed Multimodal Foundation Model | About Us | SoftBank
Noetra Launches Full-Scale R&D for Japan-Developed Multimodal Foundation Model | About Us | SoftBank ソフトバンク
- Vietnam mandates AI and digital skills for all university graduates
All university students will be required to graduate with digital competencies and knowledge of artificial intelligence (AI) under a new regulation issued by the Ministry of Education and Training, marking the first time these skills have been made compulsory learning outcomes for undergraduate programs in Vietnam.
- STAT+: GOP blocks effort to end Medicare test of AI prior authorization
The Trump administration is testing the use of AI in Medicare to approve some medical services.
Score: 80🌐 MovesJul 16, 2026https://www.statnews.com/2026/07/16/medicare-ai-prior-authorization-pilot-wiser-senate-vote/?utm_campaign=rss