AI News Archive: July 13, 2026 — Part 2
Sourced from 500+ daily AI sources, scored by relevance.
- Devin is Now FedRAMP High In-Process, Unlocking Autonomous AI Engineering for Federal Agencies
Cognition’s platform now FedRAMP Class D (High) In-Process, listed on the FedRAMP Marketplace, enabling federal teams to use Devin.
- AI is ending older workers’ careers early, and it is coming for the well-paid ones first
The debate about AI and jobs has focused on graduates. New research suggests it should also be looking at people in their late fifties, CNBC reports. Workers aged 55 and over in AI-exposed occupations are now exiting work at higher rates than before ChatGPT launched. The finding comes from Geoffrey Sanzenbacher at Boston College’s Center for […] This story continues at The Next Web
- New method aims to keep kids safe from illegal AI-generated content
Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs.
Score: 73🌐 MovesJul 13, 2026https://news.mit.edu/2026/new-method-keeps-kids-safe-from-illegal-ai-generated-content-0713 - Google reportedly beats Apple to TSMC’s 2nm chip debut with Tensor G6
According to the latest industry leaks, Google’s next-generation in-house flagship chip, the Tensor G6, will be the first to adopt TSMC’s 2nm process, making it the world’s first mass-produced 2nm smartphone chip. The chip will power the Pixel 11 series, scheduled for launch in August 2026, about a month ahead of Apple’s iPhone 18 Pro […]
Score: 73🌐 MovesJul 13, 2026https://technode.com/2026/07/13/google-reportedly-beats-apple-to-tsmcs-2nm-chip-debut-with-tensor-g6/ - Ukraine Deploys Gun-Wielding War Robot via Sea Drone
Ukraine Deploys Gun-Wielding War Robot via Sea Drone Newsweek
Score: 73🌐 MovesJul 13, 2026https://www.newsweek.com/ukraine-russia-ground-drone-sea-mykolaiv-kinburn-spit-12188994 - Chinese AI chip startup Oriental Compute Core debuts DF1000
DF1000 chip uses DRAM-logic wafer-level hybrid-bonded 3D packaging for higher bandwidth.
Score: 72🌐 MovesJul 13, 2026https://www.techinasia.com/endowus-ceo-gregory-van-optimistic-profitability - AI Asymmetry: MeitY, CERT-In, CSIRT-Fin and SISA warn India’s BFSI sector is losing the speed war against attackers
India’s banking, financial services, insurance and payments sector is now facing an “AI asymmetry” problem: attackers are using artificial intelligence to move faster than the institutions, regulators and defensive systems […] The post AI Asymmetry: MeitY, CERT-In, CSIRT-Fin and SISA warn India’s BFSI sector is losing the speed war against attackers appeared first on Express Computer .
- Chinese Tech Vendors Converge on Humanoid Robotics and Embodied AI
China is racing to stake a claim in the fast-growing sector.
Score: 72🌐 MovesJul 13, 2026https://aibusiness.com/robotics/chinese-tech-vendors-converge-humanoid-robotics-embodied-ai - Turing Award winner Rich Sutton founds Oak Lab to build AI agents that learn on their own
Richard Sutton, 2024 Turing Award winner and co-founder of modern reinforcement learning, has launched a new startup called Oak Lab in Toronto. He calls current deep learning methods "weak and inefficient" and wants to build AI agents that learn continuously from their environment. The article Turing Award winner Rich Sutton founds Oak Lab to build AI agents that learn on their own appeared first on The Decoder .
- Xi Jinping to attend World AI Conference for first time as China elevates tech push
President Xi Jinping will attend the opening ceremony of the 2026 World Artificial Intelligence Conference (WAIC) in Shanghai and deliver a keynote address, the Ministry of Foreign Affairs announced on Monday. The Chinese leader’s attendance will mark his first in-person appearance at the annual event since it was launched in 2018, signalling the growing priority Beijing places on AI to drive economic growth, technological competitiveness and global rule-setting. Xi previously sent a...
- Towards shared embodied intelligence in humanoid robots through optimization, development and testing of the human-aware ergoCub robot
Nature Machine Intelligence, Published online: 13 July 2026; doi:10.1038/s42256-026-01272-2 Sartore et al. present ergoCub, a humanoid robot that prioritizes human safety at hardware and motion levels. Using a shared embodied intelligence framework, design and control are jointly optimized with human-related metrics such as back stress alongside locomotion objectives, reducing spinal load and improving walking robustness.
- Apple and Google Are Likely to Strengthen AI Ties Following OpenAI Lawsuit
Apple and Google Are Likely to Strengthen AI Ties Following OpenAI Lawsuit Barron's
Score: 72🌐 MovesJul 13, 2026https://www.barrons.com/articles/apple-google-openai-ai-lawsuit-cf02a044 - AI supercharges cloud attacks: Inside a 72-hour breach that should worry every CIO and CISO
Familiar tactics. Unfamiliar speed. A new Sygnia investigation reveals how AI is compressing attack timelines and forcing security leaders to rethink cloud defenses. In the world of cloud security, speed […] The post AI supercharges cloud attacks: Inside a 72-hour breach that should worry every CIO and CISO appeared first on Express Computer .
- Tesla’s Cybercab drove across a car park, and the real news happened two days earlier
Tesla has said Cybercab employee rides are starting soon at its Texas factory. The announcement came with a clip of a gold Cybercab, butterfly doors up and no steering wheel or pedals, driving itself across the outbound lot, Mashable reports. Note the tense. Tesla said the rides are “starting soon”, not that they have started, and […] This story continues at The Next Web
Score: 71🌐 MovesJul 13, 2026https://thenextweb.com/news/teslas-cybercab-drove-across-a-car-park-and-the-real-news-happened-two-days-earlier - US Companies Are Realizing That Chinese AI Models Are Way Cheaper, Ditch American Ones
"'Hey, we don't need the best model, we can use the faster, cheaper models.'" The post US Companies Are Realizing That Chinese AI Models Are Way Cheaper, Ditch American Ones appeared first on Futurism .
Score: 71🌐 MovesJul 13, 2026https://futurism.com/artificial-intelligence/us-realizing-chinese-ai-models-way-cheaper - Meta pulls Muse Image days after launch amid privacy outcry
Meta pulls Muse Image days after launch amid privacy outcry verdict.co.uk
- AI-driven 'chipflation' puts chill on electronics purchases
AI-driven 'chipflation' puts chill on electronics purchases Nikkei Asia
Score: 71🌐 MovesJul 13, 2026https://asia.nikkei.com/business/tech/semiconductors/ai-driven-chipflation-puts-chill-on-electronics-purchases - Cloudflare launches Precursor to catch bots by watching entire sessions
Cloudflare Inc. today opened general availability for Precursor, a bot detection system that tracks how a visitor behaves across an entire browsing session instead of testing them once on arrival. Precursor runs inside the browser. It streams interaction signals back to Cloudflare’s edge, where servers score them in real time for evidence of automation. The […] The post Cloudflare launches Precursor to catch bots by watching entire sessions appeared first on SiliconANGLE .
Score: 70🌐 MovesJul 13, 2026https://siliconangle.com/2026/07/13/cloudflare-launches-precursor-catch-bots-watching-entire-sessions/ - OpenAI, Meta and SpaceXAI compete for more cost-efficient AI models
OpenAI, Meta and SpaceXAI compete for more cost-efficient AI models The Japan Times
Score: 70🌐 MovesJul 13, 2026https://www.japantimes.co.jp/business/2026/07/13/openai-meta-spacexai-cost-ai/ - German AI consortium releases Soofi S, an open 30B model that tops benchmarks in both English and German
A German research consortium has released Soofi S 30B-A3B, an open language model trained entirely on Deutsche Telekom's cloud infrastructure in Munich. The model uses an efficient hybrid architecture that activates only a fraction of its 31.6 billion parameters per token, keeping throughput steady even at very long contexts. With a training dataset deliberately weighted toward German, Soofi S tops all fully open competitors on both German and English benchmarks. The article German AI consortium releases Soofi S, an open 30B model that tops benchmarks in both English and German appeared first on The Decoder .
- Should AI companies be ‘forced’ to give half their stock to the public? Most Americans say yes
Companies that build AI are changing the way Americans live, and most Americans want to share in the wealth. According to a new national survey of 1,690 adults from research firm Verasight, 69% said they support “forcing” AI firms to transfer half their stock to a public sovereign wealth fund that would, in theory, pour AI profits back into the economy and even provide direct payments to Americans. The poll comes after Elon Musk’s space and AI company, SpaceX, just pulled off the largest-ever initial public offering, and as AI giants like Anthropic and OpenAI have been planning IPOs of their own. Likewise, tech giants that are already publicly traded—like Meta Platforms and Google parent Alphabet—have made major AI-forward expenditures and seen their stocks rise as a result. Americans also broadly want more guardrails for AI companies. Per the survey, 89% say they support making it a requirement for AI companies to disclose the results of all internal safety testing to the public, and 81% said they support giving the federal government the authority to block AI systems that are deemed unsafe. “The findings from our latest survey demonstrate a rare instance of bipartisan agreement,” Ben Leff, CEO and cofounder of Verasight, said in a press release. “Must not be decided behind closed doors” The idea for a public sovereign wealth fund comes from Senator Bernie Sanders of Vermont, who last month introduced legislation to create such a fund, which he said could generate $7 trillion. In an outline of the proposal, Sanders said the fund would do three key things: Create an Independent Commission for Democratic AI to manage the fund Require companies to “break up” their AI and non-AI businesses Funnel profits from AI back to the economy Sanders said in the proposal that the “principle is simple: When a public resource generates wealth, the public should share in that wealth.” He continued, “The future of AI and the fate of humanity must not be decided behind closed doors in Silicon Valley by billionaires seeking to maximize their power and profit. It must be decided by workers, parents, teachers, artists, scientists, communities and the American people.” While the idea is new for America, it’s not new worldwide. More than 100 countries have sovereign wealth funds and so do around 20 U.S. states. For example, Alaska’s Permanent Fund is funded by oil and mining royalties, and a portion of the funds are used to pay Alaskans annual dividends. Texas has a Permanent School Fund that comes from mineral rights and state lands and supports the state’s K-12 public education system. Interestingly, while Sanders might not agree much with President Trump, last February Trump announced an executive order that directed the Treasury and Commerce Department to develop a plan to create a sovereign wealth fund. The order said the fund would “promote fiscal sustainability, lessen the burden of taxes on American families and small businesses, establish economic security for future generations, and promote United States economic and strategic leadership internationally.” Last month, Trump said he is in talks with AI leaders about how the public can participate in AI’s continued expansion. “There are concepts where pieces could be given to the American public, where the American public essentially becomes a partner,” he said.
- At CERN, AI will drive future discoveries
Every second, CERN's Large Hadron Collider (LHC) produces 40 million particle collisions – far more data than any computer on Earth could ever store or analyse. So CERN scientists are letting AI make split-second decisions, in real time, about which of those collisions might contain the next big discovery. It’s one of many ways in which AI could transform particle physics work. As CERN plans a new, far more expensive collider to replace the LHC in the 2040s, physicists say AI won't just crunch numbers after the fact– it will help design the machine itself, choose its materials, and decide what questions it's even built to ask. When scientists at the CERN particle physics laboratory discovered the Higgs Boson in 2012, it was a revolution in our understanding of the universe. The finding came after four decades of searching. And it wouldn't have been possible without machine learning algorithms, which were “something like the great-grandfather of what you now call AI,” says Maurizio ...
- Introducing Precursor: detecting agentic behavior with continuous client-side signals
Precursor, our new continuous behavioral validation engine for bot management, offers visibility into how humans and bots actually interact across the full user journey. By turning session-level behavior into bot detection signals, it identifies advanced automation with higher precision — while reducing friction for legitimate users.
- Q&A: How Google plans to reinvent the spreadsheet with AI
Nearly five decades after the launch of VisiCalc, AI is reshaping one of the world’s most familiar productivity tools — the humble spreadsheet. While a lot of knowledge workers interact with spreadsheets on a regular basis , many lack the skills and confidence to access more advanced functions. “For a very long time, spreadsheets forced you to learn spreadsheet syntax and spreadsheet ways of working,” said Eric Birnbaum, director of product management for Google Sheets . “But think about how many people need to use spreadsheets at work and don’t have the skill set to create the kinds of spreadsheets that can be really helpful for them.” The addition of artificial intelligence can help handle that issue, he said, making the software more accessible to a wide range of office workers. “AI is unlocking the power of spreadsheets, taking on a lot of the difficult work that’s required to use them. That can be incredibly empowering for users,” said Birnbaum. Google has steadily expanded generative AI (genAI) capabilities in Sheets since launching Duet AI — now Gemini — for Workspace in 2023. Gemini in Sheets is available at no extra cost to Google Workspace subscribers, though a paid AI Expanded Access add-on – costing $30 per user each month – is required to remove certain usage limits. Features that have rolled out in recent months include the ability for a Gemini agent in Sheets to carry out multi-step actions such as formatting, analysis and data entry, and, more recently, the ability to create entire spreadsheets from a single prompt. A Fill with Gemini feature builds on the existing AI function, enabling users to automatically populate selected cells by detecting intent from information within a spreadsheet as well as from the web. Another feature, Sheets Canvas (currently available in alpha), lets users generate interactive apps that update in real-time based on changes to spreadsheet data. This could be a kanban board for a sales pipeline, for instance, or an analytics dashboard that uses Sheets as its back-end data source. Google claims users already see a range of benefits from Gemini in Sheets. According to an August 2025 survey of 200 Sheets users conducted by the company, the majority of knowledge workers (89%) said AI features in Sheets save them at least an hour a week, and 88% believe AI features have made them more confident in their data analysis skills. The most popular AI use cases include creating spreadsheets and charts, analyzing data, and fixing broken formulas. How widely these features are actually used is unclear; Google declined to provide weekly usage statistics for Gemini in Sheets. As the company embeds Gemini deeper into Sheets, questions remain about just how much businesses can trust AI tools to handle important business data, as well as what increased automation means for those who spend much of their day wrangling data. width="480" height="480" sizes="auto, (max-width: 480px) 100vw, 480px"> Eric Birnbaum, director of product management for Google Sheets. Google Computerworld recently talked with Birnbaum about the potential benefits and challenges of the latest evolution of spreadsheet software. This interview has been condensed and edited for clarity. As businesses become more focused on seeing value from AI investments, what measurable benefits are customers seeing from Gemini in Sheets – for example, time saved or other forms of return on investment? “Spreadsheets remain one of the universal languages for businesses, and we don’t anticipate that’s going to change anytime soon. But by bringing AI into the product where people work, we think it can significantly reduce the technical tax of data: the time spent understanding it, sourcing it, analyzing it, visualizing it. “Historically, data professionals spent — let’s estimate it at 80% of their time — on the mechanical groundwork, data cleaning, crafting formulas, formatting, troubleshooting, and maybe only 20% of their time on actual strategic decision-making. “We think that by offloading the manual, time-consuming, error-prone data work to Gemini, we can flip that ratio a bit, so humans can focus on the things that really matter: the high-value questions to ask and the judgment calls and decisions that get made from them. We’re starting to see evidence of that in our own user base and customer base. “The second point to make is that AI can democratize data analysis to some extent, and make it available to many more users. For so many years, the spreadsheet was a gatekeeper; if you couldn’t speak the rigid language of spreadsheet formulas, you couldn’t extract the value from data. But by introducing these natural language interfaces, AI is separating the analytical capability from the technical literacy. “If you can ask the right questions, or describe what you want in plain language, Gemini and Sheets can help you achieve your goals in a spreadsheet, even if you have minimal spreadsheet skills yourself. “What we’ve seen so far from users and customers is that it’s incredibly empowering for people who might have been scared off by data analysis or dreaded opening spreadsheets in the past. You don’t need to go and wait for a data analyst to help you; you can go and do this work yourself in a spreadsheet.” The flip side is, how confident can businesses be if more junior employees can take on higher-level analysis tasks by relying on AI? Given the propensity for AI models to hallucinate, to what degree can businesses trust that these tools won’t introduce errors into important business data? “It’s something we spent a ton of time thinking about. We’ve gone to great lengths to build these AI tools to collaborate with you, to show their work, explain what they did, and make sure that you can take over where they leave off. “Our Sheets agent, for example, lays out a really explicit, transparent plan for you to review and approve before any data manipulation happens. It’s designed to do that in plain natural language in a way that the average user could understand, and then it gives you back that final summary, so you know exactly what it did and where it did it. “The other thing is that the model is great at explaining things. If you inherit a spreadsheet that has some complex formula that you don’t understand, for example, the model does an amazing job of explaining how it works and what it’s doing. “In many ways AI is not only making these features more accessible, but helping users feel more confident in the output. Human error is an inherent risk in manual data management, with or without AI. One misplaced comma or broken cell reference can completely corrupt an entire financial model, and it can be completely undetected. “Our approach with AI in Sheets is to create this deliberate verification loop. You now have another spreadsheet expert working along with you, reducing the likelihood of these mistakes.” Even if humans produce errors too, does it ultimately come down to accountability when AI is involved? “Our point of view here is that AI should be partnering with the knowledge worker who’s doing the work here. And everything that we’ve built is designed to be that partner. You might be able to offload tasks to the model, but we’re citing sources, we’re providing plans and explanations. We’re ultimately relying on the user to do that final verification. “We spend a humongous amount of time focused on quality. We know that for AI to be useful in spreadsheets, it has to be reliable. When we launched Sheets Gemini Agent, for example, we were really proud that we set a state-of-the-art benchmark on the full SpreadsheetBench data set, which at the time exceeded competitors and near-human expert ability. “But we know quality is never ‘good enough’ or done. We’re constantly working to improve quality for our users and customers, and for the use cases where they’re relying on AI most.” What potential do you see for more agentic functionality in Gemini Sheets — for example, bringing in data from other sources, creating recurring reports, or taking more actions independently? “ We’re listening closely to customers and users and building what they’re telling us they need. The agent is already capable of doing very complex multistep workflows, and we see users discover that the agent is extremely capable of doing end-to-end spreadsheet tasks. In terms of connectors, in an alpha we have connections available to HubSpot, Salesforce, and Mailchimp. We hope to expand that over time. “There’s no path to have AI replacing analysts. I think AI is giving analysts more time back to actually do the more valuable parts of their job. Analysts that I work with are way more productive and impactful than they ever were before, because they can push that uninteresting spreadsheet grunt work off to the model, freeing up time for more interesting and impactful work. “A great example: the visualizations I’m getting back from analysts nowadays are canvases instead of static charts that I can explore myself. It’s way more informative and useful than what I was accustomed to before.” Looking ahead, do you expect a larger share of spreadsheet work to be carried out by agents, with humans setting goals and reviewing results? What will be the biggest change in how people use spreadsheets with AI? “The tasks are likely to stay similar and the use cases for spreadsheets are likely to continue to be relevant. The biggest change will be the ability to push the uninteresting spreadsheet grunt work off to a model and free up time for the user to do things that are more impactful, more interesting, more meaningful to the business. ‘Spreadsheets have historically been these like static containers where data goes to rest. I think AI can turn spreadsheets into these dynamic, localized software applications. And I do actually think this sort of changes the game for how people might use spreadsheets moving forward. “It’s not just a passive grid full of numbers; spreadsheets are evolving to become these live, long-lived, collaborative applications. Employees can build these on the fly, like a basic CRM or supply chain dashboard in seconds. This is an area of investment for us moving forward, and we’re really excited to see how this evolves.” AI assistants and agents, such as ChatGPT or Claude, might be able to analyze spreadsheet files and business data without users working inside a spreadsheet application. What do you think will keep Sheets central to the workflow, rather than simply making it one part of a wider AI-driven process? “We’re in constant touch with customers and users; it’s clear work is still happening in spreadsheets. I think spreadsheets remain incredibly popular tools. If we can bring the AI capabilities users need directly into the product where they already are, we’ll transform the way they work. “I think we can be the front-end for some of this great AI innovation and the products that users are accustomed to today. Everything we build is guided by user feedback: users are telling us right now they want AI to help them do their everyday or more complex tasks, and they’re starting in Sheets today.”
Score: 70🌐 MovesJul 13, 2026https://www.computerworld.com/article/4195176/qa-how-google-plans-to-reinvent-the-spreadsheet-with-ai.html - Experts say they were able to create a rogue agent in Google’s AI platform with just a single edit permission
One compromised agent could take over every other agent in that project, leading to chat logs access, and even data exfiltration.
- 😼 Microsoft is routing around OpenAI
PLUS: SK Hynix's 2027 crunch, Mistral robots, and OpenAI's safety exit.
- Native AI Agents Arrive: The AI Phone Market Enters Its Second Half With Nubia and ByteDance Leading the Charge
Nubia debuts the world first native AI agent smartphone at WAIC 2026, moving beyond AI feature add-ons to autonomous agent systems that understand, execute, and remember user tasks across apps.
- BOK sees AI-driven chip supercycle continuing, dismisses 'peak-out' concerns
The South Korean central bank said the global semiconductor market remains undersupplied and the current AI-driven supercycle is expected to continue for some time, according to a report released Monday, dismissing investors' concerns that the chip cycle has already peaked. "While semiconductor demand has surged significantly due to investments in artificial intelligence infrastructure, the pace of supply expansion has been slow," the Bank of Korea said in a report submitted to Rep. Park Sung-ho
- US National Science Foundation to ban projects with flagged Chinese institutions
The United States’ National Science Foundation (NSF) is set to ban collaborations with Chinese research institutions designated as restricted entities, as well as their employees, under a new policy that moves away from seeking to balance security risks with the benefits of international collaboration. The policy reflects a broader congressional push by House Republicans to curb academic partnerships between China and the US, amid lawmakers’ concerns that such ties could contribute to Beijing’s...
- Tata Consultancy Services plans up to 8,900 AI deployment engineers, seeks AI acquisitions
Tata Consultancy Services plans up to 8,900 AI deployment engineers, seeks AI acquisitions
- Nvidia’s future challenger? Chinese start-up reveals aggressive AI chip road map
Dongfang Suanxin, a Chinese semiconductor start-up backed by state funds and domestic tech giants, has unveiled an ambitious plan to challenge American market leader Nvidia by using alternative chip architectures to sidestep United States-led export controls. The Shanghai-based firm announced on Monday that its strategy was built on software-defined computing and 3D-stacked near-memory architecture, which it said could reduce reliance on the advanced manufacturing processes and cutting-edge...
- Siri AI Is Becoming Apple’s Everything Tool
Apple’s revamped Siri is more than a voice assistant; it’s now the backbone of the iPhone user experience. You can try it now through the iOS 27 public beta.
- Meta’s AI reality check: Why consent is the next battleground
Meta removed a feature from its AI image generator after user backlash. This incident reveals a significant challenge for artificial intelligence companies. AI development now requires convincing users about data access and usage. Companies must build trust as much as they build smarter models. This shift marks a new era for technology competition and user acceptance.
- Tencent Eyes Largest Individual Stake in Manus As Meta Deal Is Set to Unwind
Tencent Eyes Largest Individual Stake in Manus As Meta Deal Is Set to Unwind apac.entrepreneur.com
- Microsoft chief turns hostile on frontier AI labs, warns companies to guard their IP
Lock it down, warns Satya Nadella, seemingly forgetting the billions Redmond chipped in to OpenAI back in the good old days
- Cybercabs will soon start ferrying Tesla employees at Giga Texas
Tesla Cybercabs will "soon" start offering Tesla employees rides at the Giga Texas factory.
- 'Cryptomining can be a lucrative post-compromise activity in cloud environments': Experts warn AI gateways connected to Amazon Bedrock are being hijacked to steal crypto
Researchers found a new spin on an old attack, as AI gateways are used to enable cryptocurrency mining.
- Elon Musk and Sam Altman accuse each other of scamming investors as each pitches their AI vision
Elon Musk and Sam Altman accuse each other of scamming investors as each pitches their AI vision Fortune
- Top investors managing $3tn to gain access to UK infrastructure projects via AI platform
Top global investors managing around $3 trillion in assets will be given access to “fragmented” British infrastructure projects under plans for an AI platform designed to fix the industry’s investment woes. Both national and regional projects will be connected to trillions of global capital through the AI platform, dubbed InvestConnect, in a bid to accelerate [...]
Score: 68🌐 MovesJul 13, 2026https://www.cityam.com/top-investors-managing-3tn-to-gain-access-to-uk-infrastructure-projects-via-ai-platform/ - Anthropic Just Gave Its AI Coding Tool a Built-In Browser—Here’s Why Users Will Love It
A useful change has come to Anthropic’s Claude desktop app. It follows a similar feature from OpenAI.
- How agentic AI controls factory robots at the edge
How agentic AI controls factory robots at the edge Qualcomm
Score: 68🌐 MovesJul 13, 2026https://www.qualcomm.com/news/onq/2026/07/edge-ai-agents-industrial-robot-control - Vibe coded threats shift again — hackers are using AI chatbots to write malware using natural language
How do you spot an attack when signatures and behaviors can no longer be used?
- When One Drone Isn’t Enough: CMU Builds Swarms for High-Stakes Response Efforts
When One Drone Isn’t Enough: CMU Builds Swarms for High-Stakes Response Efforts Carnegie Mellon University
- Ant Group unveils AI safety models for agents and multimodal systems
Ant Group’s AI Safety Lab has open-sourced SingGuard-NSFA, a safety guardrail model for autonomous agents, and disclosed details of SingGuard, a multimodal safety model. SingGuard-NSFA is designed to detect risks such as prompt injection, sensitive data theft, malicious code execution, resource abuse, and permission misuse before agents take action. The model covers seven major risk […]
Score: 68🌐 MovesJul 13, 2026https://technode.com/2026/07/13/ant-group-unveils-ai-safety-models-for-agents-and-multimodal-systems/ - How ChatGPT Work agent lays foundation for OpenAI's AI super app ambition
OpenAI's ChatGPT Work combines coding, document creation and workflow automation in one interface, signalling a broader shift from chatbot to enterprise AI workspace
- Should AI help you get away with killing your spouse?
What does a world of total user-aligned AI actually look like?
Score: 68🌐 MovesJul 13, 2026https://techcrunch.com/2026/07/13/should-ai-help-you-get-away-with-killing-your-spouse/ - China’s Zhipu AI, developer of GLM-5.2, defies slump as it pursues AGI over quick profits
Chinese artificial intelligence giant Zhipu AI bucked a broad plunge of AI-related stocks across Hong Kong and the Chinese mainland on Monday, which saw arch-rival MiniMax slumping almost 20 per cent. Zhipu, trading as Knowledge Atlas Technology in Hong Kong, closed almost flat at HK$1,645 on Monday after its shares gained more than 1 per cent by midday. The company, whose stock has skyrocketed 12-fold since its January debut, over the weekend pledged to prioritise advancing towards artificial...
- Why healthcare AI has reached a tipping point
Why healthcare AI has reached a tipping point Healthcare IT News
Score: 68🌐 MovesJul 13, 2026https://www.healthcareitnews.com/news/why-healthcare-ai-has-reached-tipping-point - New Jersey Welcomes Robotaxis, But Only If They Have Three Sensor Technologies
New Jersey is considering legislation that would require robotaxis to have three kinds of sensor technology and 3 years of testing. The post New Jersey Welcomes Robotaxis, But Only If They Have Three Sensor Technologies appeared first on CleanTechnica .
- Infrastructure for the agentic era: A new conversation layer for the Twilio Platform
A new era of customer engagement is taking shape. AI agents are quickly becoming integral to the way businesses serve, support, and sell to customers — able to respond, reason, and take action in ways that go far beyond scripted automation. Many customer journeys, however, are still built on systems that don’t talk to each other. Customer data lives in one place, channel history in another, and AI agents often operate with only part of the picture. Customers feel the pain when they switch between channels like voice and messaging, get transferred, and have to repeat themselves yet again. It doesn’t matter that they’ve been loyal to a brand for years, every interaction feels like a cold start. That is the conversation gap. It’s clear that AI isn’t the problem, infrastructure is. Closing the gap requires new building blocks that focus on continuity, so context can carry forward across systems, channels, human agents, and AI agents. To bridge the gap, at SIGNAL 2026 , we are introducing a new conversation layer for the Twilio Platform. Twilio Conversation Orchestrator, Twilio Conversation Memory, and Twilio Conversation Intelligence are now generally available. Together, they help businesses coordinate interactions, preserve context, and connect human and AI agents so every conversation is more continuous and useful. In addition to the new Conversations layer, we’re also announcing platform updates that make it easier to build, manage, and scale customer engagement on Twilio — from a reimagined Twilio Console to expanded channels and new voice AI capabilities. New building blocks for connected conversations The conversation gap does more than create inconsistent customer experiences. It hurts conversion and retention, increases operational costs, adds integration complexity, and makes agents less productive. The new platform capabilities we’re introducing are designed to fix that by coordinating interactions, maintaining context, and surfacing signals as conversations happen. Conversation Orchestrator Conversation Orchestrator helps businesses coordinate interactions across Twilio channels without complex custom logic. Teams can configure it in Console or configure their implementation with the API. It connects interactions into a single thread and manages handoffs between human agents and automated systems. Conversation Memory Conversation Memory creates a living, identity-resolved profile by connecting customer data with conversation history and customer traits. That means each interaction starts with the right context. It’s built specifically for LLMs to reduce latency and token usage by surfacing the most relevant details when they matter. A new Enterprise Knowledge API (now generally available) also allows teams to deliver more relevant experiences and ground interactions in trusted business knowledge such as FAQs, policies, and product documentation. Conversation Intelligence Conversation Intelligence provides real-time understanding of live interactions. Using prebuilt and custom LLM-based operators, it can detect changes in sentiment, flag potential escalations, and trigger action during a conversation, not only after it ends. That gives teams the ability to respond sooner, support agents more effectively, and improve customer outcomes while the conversation is still in progress. Together, these products help businesses create customer experiences that feel more connected across channels. Open by design Twilio remains neutral by design. We start with the premise that you know your business. We aren’t here to prescribe a model, framework, or data strategy. We provide the infrastructure that helps you build customer engagement in the way that works best for your business. You pick the model and agent runtime. You own the data. That doesn’t mean you need to start from scratch, either. We partnered with Microsoft, AWS, and others to create blueprints that support faster development. We are also introducing an open-source developer toolkit, Twilio Agent Connect (now generally available), that lets your teams connect agents built on any LLM or framework directly to Twilio’s infrastructure. For developers, this means more flexibility. For businesses, it means less lock-in and the ability to get value from existing investments. For partners, it means more ways to build with Twilio. A new front door We are also introducing a reimagined Twilio Console , because as customer engagement grows more complex, managing the infrastructure behind it should feel effortless. The new Console is a single mission control center that brings your communications, identity, and data into one experience: one login, consistent logs across every surface, an intelligent Console Assistant, transparent billing insights, and streamlined compliance workflows that no longer slow you down. Over the coming months, we’ll roll out this new Console experience to customers automatically. You can also opt in to gain early access. More channels, more control, smarter conversations In addition to these launches, we are announcing several updates that expand customer reach, support enterprise requirements, and make it simpler to build on Twilio. Apple Messages for Business (Private beta) and Twilio Email (GA) give teams new ways to reach customers on the channels they already use. Data Residency for SMS (EU) (Public beta) enables teams to manage personal data locally to support regional data requirements. Conversation Relay enhancements add PCI compliance, HIPAA eligibility, Insights, and support for Deepgram Flux for smarter turn detection — helping AI agents better understand when a person has finished speaking. Stripe Projects integration enables developers and AI agents to seamlessly provision Twilio within Stripe Projects in a single, programmable CLI workflow. Built with our customers Bringing these new products to life required a close partnership with many beta customers and partners. This helped us understand real-world signals and needs to help make the capabilities robust from the start. Among dozens of others, Centerfield, Constellation Dealerships, Car Finance 247, and Meera.ai leveraged Twilio to solve their own customer engagement challenges. These teams showed what is possible when businesses carry context forward, act on live conversation signals, and connect AI agents with human teams in the moments that matter. Car Finance 247 , a leading UK online car finance broker, is using Twilio to help recover stalled loan applications. When customers miss a field, need to correct information, or still need to confirm terms and conditions, AI-powered outreach across voice, SMS, and RCS, Conversation Memory tracks the application state. Conversation Orchestrator manages the outreach journey, and Flex helps bring in a human agent as needed. As Reg Rix, Co-Founder and CEO, shared: “Because the platform remembers where each customer left off, we can pick up right where they stopped, helping them cross the finish line in a way that is modern, responsive, and genuinely helpful.” Centerfield , a technology company powering AI-driven commerce, helps brands connect with consumers across digital and phone-based journeys. With Twilio, the team is connecting real-time conversation data with customer context to guide agents and AI systems in the moment, standardise what works, and improve performance at scale. As Aniketh Parmar, Chief Technology Officer, said: “Performance comes down to how well every interaction moves a customer forward. We’re capturing each conversation in real time and applying what we already know about the customer to guide our agents and AI systems in the moment. With the Twilio Platform, including Conversation Orchestrator, Conversation Memory, and Conversation Intelligence, we can see what’s driving conversations so we can standardise what works, eliminate what doesn’t, and continuously improve outcomes at scale.” Constellation Dealerships is using Twilio’s agent infrastructure to accelerate AI-powered engagement across its dealer network, moving from evaluation to measurable outcomes in days. As Richard Pineault, Director of R&D, shared: “The value of this partnership is evident—our team progressed from evaluating Twilio’s agent infrastructure to realising measurable outcomes within days. This rapid speed-to-value exemplifies the agility and innovation required to propel the dealership industry into the future.” Meera.ai is building on Twilio to modernise outbound engagement, replacing repeated manual follow-ups with always-on conversations across voice, SMS, and messaging. Vivek Zaveri, Chief Executive Officer, said: “Meera.ai has partnered with Twilio since our inception to champion a conversation-first future for commerce. As the industry shifts toward real-time LLM-enabled interactions, Twilio’s Platform and the new Conversations products will help us reach customers in the moment.” Together, these customers and partners show that the Twilio Platform can help businesses recover stalled journeys, improve live interactions, accelerate time to value, and create more connected experiences across AI agents, human teams, and every customer channel. The next era of customer engagement starts here As AI agents own more of customer engagement, businesses need infrastructure that keeps conversations connected across channels, systems, and teams. That means preserving context, coordinating handoffs, and acting on what is happening in real time. That is what we are building with this next generation of the Twilio Platform: a new layer that connects channels, context, intelligence, and human and AI agents, helping businesses make every digital interaction more connected, more useful, and more amazing. For 17 years, Twilio has helped builders create better ways for businesses to connect with their customers. In this next era, that connection matters more than ever. Explore the new Conversations layer , try the products, and let’s build what comes next, together.