AI News Archive: August 7, 2026 — Part 4
Sourced from 500+ daily AI sources, scored by relevance.
- AI Risks Require Tougher Cyber Defenses, Top US Officials Warn
The US government’s top information security official warned that computer systems nationwide need to bolster their defenses to meet the growing threat of cyberattacks powered by artificial intelligence. During remarks Wednesday, Acting Federal Chief Information Security Officer Michael Duffy said …
- Alibaba's Qwen App Tests Paid Features as It Tries to Follow Doubao's Office Playbook
Alibaba's Qwen App pushed a major update this week that finally moves it beyond pure free chatbot territory. Office assistant, scheduled tasks and flagship Qwen3.8-MAX model access are now bundled into the new release, with a clear signal that productivity use cases will soon shift behind a paywall.
Score: 53🌐 MovesAug 7, 2026https://pandaily.com/alibaba-qwen-app-paid-features-doubao-rivalry-aug2026 - How AI Is Making Cybersecurity A Critical Tech Battlefield
Cybersecurity faces a new era as hackers automate attacks. The troubling trend brings serious implications for AI stocks. The post How AI Is Making Cybersecurity A Critical Tech Battlefield appeared first on Investor's Business Daily .
Score: 53🌐 MovesAug 7, 2026https://www.investors.com/news/technology/ai-stocks-cybersecurity-artificial-intelligence-battlefield/ - Some adults use AI for financial advice, but trust is still low, Gallup poll finds
Some U.S. adults are using artificial intelligence for financial guidance, but it’s far from the most trusted source of advice, according to a new Gallup survey conducted in partnership with Edward Jones, a financial services firm. About one in five Americans who have sought financial advice in the past year turned to AI , the survey found. But among U.S. adults overall, only about three in 10 have “a great deal” or “some” confidence in its expertise for managing money, according to the survey, including just 3% who trust AI “a great deal.” The poll, which was conducted in the spring and looked at the views of adults who are at least 21, found a disconnect between the resources Americans trust for financial advice and the ones they actually rely on. About eight in 10 U.S. adults have at least “some” confidence in financial advisers. But only about one-third of adults who sought financial advice turned to a professional financial adviser. Far more, 73%, said they relied on their own internet research. As the use of AI increases, financial experts say consumers should be cautious about fully trusting these tools. Using AI as a tool at the start of a learning journey and combining this knowledge with other trusted sources can be the best way to engage with new and traditional financial guidance tools, said Taha Choukhmane, associate professor at MIT’s Sloan School of Management. “I would encourage people to use AI to explain and define if you’re interested in knowing what the stock market is, what the difference between a mutual fund and an index fund is,” Choukhmane said. “Using AI to explain these concepts can be very useful because it can empower people to get the most out of these methods.” Most Americans have sought financial guidance from at least one source in the past year, the survey found. In addition to those who said they used internet research, financial advisers, or AI, 35% went to a parent, sibling, or relative, while 26% got information from news media or social media. About two in 10 said they turned to a friend or an author, speaker, or influencer, and fewer relied on an employer or retirement plan provider, a robo-advisor, or a teacher or professor. Younger generations are more likely to say they’ve used AI for financial advice, while older adults are more likely to have turned to a professional financial adviser. Affordability can often deter younger adults from hiring a financial adviser. While doing research online, asking family and friends, and using AI can have minimal costs, hiring a professional can require a bigger financial commitment. About a quarter of Gen Z and millennial adults who looked for financial advice in the past year went to AI, compared to 16% of Gen Xers and just 7% of baby boomers. But while only 14% of Gen Z adults and 21% of millennials who sought guidance turned to a professional financial adviser, that rose to 34% of Gen X adults and about half, 55%, of baby boomers. Since AI interacts with specific user prompts, the advice can vary depending on how questions are asked. But asking general questions about personal finance can help people understand complex financial terms. Choukhmane at MIT also recommends asking AI to provide references to trusted sources to verify the information provided. While AI can be used for research, some financial experts are skeptical about the legal responsibilities of the technology. Certified financial planners have a legal responsibility to give the most fitting advice while AI tools don’t. Ultimately, the decisions a person makes based on AI advice are their responsibility. “Fiduciary responsibility is very real,” said Bobbi Rebell, certified financial planner and founder of Financial Wellness Strategies. “There’s no AI that is a fiduciary. It doesn’t really know your life; it’s not asking you all the questions.” ___ Amelia Thomson-Deveaux, AP’s editor for polling and surveys, contributed to this report from Washington. ___ The Associated Press receives support from Charles Schwab Foundation for educational and explanatory reporting to improve financial literacy. The independent foundation is separate from Charles Schwab and Co. Inc. The AP is solely responsible for its journalism. ___ The poll of 5,075 U.S. adults ages 21 and older was conducted March 20-April 6, 2026, using a sample drawn from Gallup’s probability-based panel, which is designed to be representative of the U.S. population. The margin of sampling error for U.S. adults overall is plus or minus 1.8 percentage points. —Adriana Morga, Associated Press
- Beyond the Backflips: Unitree Robotics Faces High Expectations Ahead of Shanghai Debut
Beyond the Backflips: Unitree Robotics Faces High Expectations Ahead of Shanghai Debut Caixin Global
- Twilio’s stock jumps on solid earnings and revenue beat and strong momentum in voice AI
A solid earnings and revenue beat helped to reignite investor enthusiasm for the communications software maker Twilio Inc. today, and its stock jumped more than 17% in after-hours trading. The company’s second-quarter results were boosted by the rapid uptake of a new voice-based artificial intelligence product, the company said, and it also offered strong guidance […] The post Twilio’s stock jumps on solid earnings and revenue beat and strong momentum in voice AI appeared first on SiliconANGLE .
- NVIDIA AI Releases NOOA: An Object-Oriented Python Framework That Turns an AI Agent Into a Single Python Class
NVIDIA AI Releases NOOA: An Object-Oriented Python Framework That Turns an AI Agent Into a Single Python Class MarkTechPost
Score: 52🌐 MovesAug 7, 2026https://www.marktechpost.com/2026/08/07/nvidia-ai-releases-nooa-an-object-oriented-python-framework/ - China's kids turn to AI-powered tutors over summer break
China's kids turn to AI-powered tutors over summer break Nikkei Asia
- India’s healthcare AI race isn’t about bigger models. It’s about better diagnostics
India’s healthcare AI race isn’t about bigger models. It’s about better diagnostics YourStory.com
- Google quietly discontinues its Earth AI feature a day after its rollout after users made no-no images
Google quietly discontinues its Earth AI feature a day after its rollout after users made no-no images Fortune
- The unwind of Situational Awareness isn't the only reason the AI trade is back
The hedge fund's forced selling was a clearing event, but earnings are sustaining the AI trade
- AI is changing cybersecurity in quick and terrifying ways
Hackers employing AI in their tactics are finding ways to exploit vulnerabilities that didn't even exist before.
Score: 52🌐 MovesAug 7, 2026https://www.engadget.com/2229315/ai-changing-cybersecurity-quick-terrifying-way/ - SUSE sharpens India strategy with sovereign AI, open-source infra push
SUSE sharpens India strategy with sovereign AI, open-source infra push Techcircle
Score: 52🌐 MovesAug 7, 2026https://www.techcircle.in/2026/08/07/suse-sharpens-india-strategy-with-sovereign-ai-open-source-infra-push - Fintech raises $30 million to build AI operating system for banks
Here's how it plans to use the funding.
- CASIA's PhiZero Gives World Models a 'Physical Language' and Cuts Tokens 175x
Researchers at the Institute of Automation under the Chinese Academy of Sciences (CASIA) published PhiZero, a world model that reasons in a learned discrete 'physical language' before rendering video. The approach collapses the number of tokens needed to represent a four-second clip by a factor of about 175.
Score: 51🤖 ModelsAug 7, 2026https://pandaily.com/casia-phizero-world-model-physical-language-175x-token-reduction-aug2026 - What’s behind the Google AI shake-up
Some of the biggest names on Google's AI team got new jobs this week. In some cases, including for legendary Googler Jeff Dean, those jobs are no longer at Google. Given that Google's models seem to be behind the best of what's coming out of anthropic and OpenAI, is this a sign of Google in […]
Score: 51🌐 MovesAug 7, 2026https://www.theverge.com/podcast/976784/google-deepmind-ai-race-vergecast - Meta CTO says employees should use AI productivity gains to do more work — not take more time off
Meta CTO says employees should use AI productivity gains to do more work — not take more time off Business Insider
Score: 50🌐 MovesAug 7, 2026https://www.businessinsider.com/meta-cto-andrew-bosworth-ai-gains-work-2026-8 - nCino Releases Mortgage MCP, Letting Lenders Connect AI Agents Directly to the nCino Mortgage Suite
nCino Releases Mortgage MCP, Letting Lenders Connect AI Agents Directly to the nCino Mortgage Suite Toronto Star
- Naver Q2 net income up 41.6% as AI boosts core biz
Naver Corp., South Korea's largest online portal operator, said Friday its second-quarter net profit rose from a year earlier, as artificial intelligence helped boost its key businesses. The company's net profit for the April-June period was 704.3 billion won ($494.8 million), up a strong 41.6 percent from a year earlier, according to Naver's regulatory filing. The tech giant posted 520.3 billion won in operating profit for the quarter, down 0.2 percent. Revenue rose 16.2 percent to 3.38 trillio
- Alibaba Adds Scheduled Tasks and Office Assistant to Qwen App
Alibaba’s Qwen app has added scheduled tasks, an office assistant, voice calls, a research mode and an agent marketplace, while adding support for the Qwen3.8-Max flagship model. The scheduled-task feature can handle recurring work such as compiling industry news and sorting emails. The office assistant can connect to notes, calendars and email, operate browsers, process […]
Score: 50🌐 MovesAug 7, 2026https://technode.com/2026/08/07/alibaba-adds-scheduled-tasks-and-office-assistant-to-qwen-app/ - Maharashtra clears Rs 11.26 crore to roll out Sarvam AI across the government
Maharashtra clears Rs 11.26 crore to roll out Sarvam AI across the government YourStory.com
Score: 50🌐 MovesAug 7, 2026https://yourstory.com/ai-story/maharashtra-approves-rs-11-26-crore-sarvam-ai-rollout - Voters face uneven AI deepfake protections
Data: NCSL ; Map: Sara Wise/Axios Americans across the country could have very different experiences with AI deepfakes leading up to Election Day , thanks to a patchwork of state rules. Why it matters: AI-generated attack ads and campaign content are rampant leading up to the midterms as candidates across the political spectrum use the technology. State of play: Twenty-nine states have AI election deepfake laws in effect, while two others — California and Hawaii — have had their laws permanently enjoined, according to the National Conference of State Legislatures . Minnesota and Texas prohibit political deepfakes for a certain number of days before an election. Maryland's ban is year-round. The other states require disclosures when AI is used in political ads. Some states like Colorado and Utah require more detailed disclosures, such as the deepfake's creator, when it was created and how it was edited. Friction point: California's and Hawaii's AI deepfakes laws were struck down in court on First Amendment grounds. Both states are pressing ahead with alternative approaches that don't specifically regulate election AI deepfakes. California's AI Transparency Act, part of which went into effect on August 3, requires disclosures of AI-generated images, and Hawaii last month passed a law prohibiting deepfakes in ads without the subject's consent. The big picture: At the federal level, lawmakers have yet to establish a baseline standard for election AI deepfakes. Zoom out: Congress' first AI deepfakes law addressed a different issue. The Take it Down Act, which took effect in May, marked Congress' first attempt at tackling non-consensual intimate imagery — an issue that has collided with election ads targeting women lawmakers. Passing the law was one thing. Implementing it effectively is another, advocates say, citing inconsistent removal processes of posts and predicting litigation will be needed to secure strong enforcement. Lawmakers are also seeking to build on that first step, with House Democrats planning to push legislation next year specifically targeting election deepfakes if they regain power. The bottom line: Proposals to tackle AI in elections have been floated in Congress for years, but states have moved faster — creating different realities for voters depending on where they live.
- Securing Modern AI In A Machine-Versus-Machine World
The cybersecurity industry is employing an all hands on deck approach to fighting AI with AI
Score: 50🌐 MovesAug 7, 2026https://www.forbes.com/sites/willtownsend/2026/08/07/securing-modern-ai-in-a-machine-versus-machine-world/ - Retailers tap AI shopping traffic but fight to keep customer data
Retailers tap AI shopping traffic but fight to keep customer data Reuters
- AI chatbots have failed people in crisis. Can that be fixed?
Clinicians and researchers say AI companies need to open up their safety data.
Score: 50🌐 MovesAug 7, 2026https://arstechnica.com/ai/2026/08/ai-chatbots-have-failed-people-in-crisis-can-that-be-fixed/ - Cloudflare launches open-source AI workspace for enterprise operations
Cloudflare, Inc. has announced the launch of Cloudflare OS, an open-source AI workspace designed to help organisations deploy AI tools integrated with their internal systems while maintaining enterprise security and […] The post Cloudflare launches open-source AI workspace for enterprise operations appeared first on Express Computer .
- How I Got the New Siri AI to Actually Help Me
If you use the new Siri AI correctly, you might cut down how much you’re on your phone. CNET’s Bridget Carey explains how to set up your iPhone to get the most out of the new Siri, and how it’s saved her sanity as a working parent.
Score: 50🌐 MovesAug 7, 2026https://www.cnet.com/videos/how-i-got-the-new-siri-ai-to-actually-help-me/ - First Take: AI-Powered Voice Phishing Attacks Demand a Cybersecurity Response
First Take: AI-Powered Voice Phishing Attacks Demand a Cybersecurity Response Gartner
- AI will put pressure on agency pricing, says WPP CEO Cindy Rose
Artificial intelligence is set to reshape agency economics, with clients increasingly expecting agencies to pass on efficiency benefits generated by AI tools, according to WPP CEO Cindy Rose.Speaking during WPP's H1 2026 earnings call, Rose said AI presents both risks and opportunities for marketing services companies, but acknowledged that the technology could create short-term pricing pressure across the industry as brands demand greater efficiency from agency partners."I think we are going to see some short-term deflationary impact on pricing as AI tooling drives productivity gains and reduces our cost to serve. Our clients are going to expect us to pass those gains on to them," Rose said.Despite that pressure, she argued that AI ultimately represents a growth opportunity rather than a threat, as agencies can use efficiency gains to help clients reinvest in innovation, transformation and new growth initiatives.Rose's comments come as global advertising holding companies race to embed artificial intelligence into core operations. Over the past year, agencies have accelerated investments in generative AI, automation, data platforms and content production tools to reduce costs and improve campaign effectiveness. Advertisers, meanwhile, have become more focused on measurable outcomes and productivity gains, creating new pressure on traditional agency pricing models.WPP has made AI a central pillar of its Elevate28 transformation strategy through WPP Open, its proprietary marketing platform. During the earnings call, Rose highlighted expanded partnerships with Google, Adobe, Meta, AWS and Microsoft, all of which are being integrated into the platform to deliver advanced AI capabilities to clients.The company said these partnerships are designed to simplify access to emerging technologies while helping marketers avoid fragmented technology stacks.Among the recent developments, WPP expanded its collaboration with Google DeepMind to develop predictive cultural intelligence tools, integrated Adobe Firefly Foundry into WPP Open, became the first agency partner to pilot Meta's latest Creative Intelligence offering and secured early access to Microsoft's MAI-Image-2 model. The company has also entered into a multi-year strategic collaboration with AWS focused on scaling agentic AI solutions for enterprise clients.The company's AI strategy extends beyond productivity and content creation. Rose said data ownership is becoming one of the most important issues in the marketing ecosystem as brands seek greater control over customer intelligence.According to WPP, its acquisition of InfoSum and its integration into WPP Open allows clients to connect and analyse data without moving customer information into third-party environments. The approach, Rose said, has become an increasingly important feature of client pitches and a key differentiator for the company."We believe our clients own and control their data and intelligence. Full stop," Rose said, adding that trust and data control are becoming critical considerations as AI adoption accelerates across the advertising industry.
- The AI boom could boost Epic's position, execs say. Here's where AI startups can still win
Clinician-facing AI, imaging AI, patient AI assistants, discharge and care transitions and revenue cycle AI are the categories in which health systems are most willing to look beyond Epic, executives said.
- Replit’s CEO on building a company that can run itself
Amjad Masad on the "self-driving company," why a CEO is a glorified router, and what's left for humans when agents do the work
Score: 49🌐 MovesAug 7, 2026https://www.platformer.news/replit-amjad-massad-interview-coding-design-jobs/ - State Department Wants Palantir’s Advice on Free Speech and “Countering Digital Surveillance”
Founded by Trump ally and right-wing billionaire Peter Thiel, Palantir has attacked the press and works in the digital surveillance space. The post State Department Wants Palantir’s Advice on Free Speech and “Countering Digital Surveillance” appeared first on The Intercept .
Score: 49🌐 MovesAug 7, 2026https://theintercept.com/2026/08/07/state-department-palantir-free-speech-surveillance/ - Only 10% of enterprises see measurable hiring gains despite 80% adopting AI
Most organisations use AI in recruitment, yet few see hiring improvements. A new model combines AI with human recruiters for better efficiency. This approach aims to bridge the gap between technology and actual hiring performance. Companies using the platform report faster hiring and better talent fit. Agentic AI architecture will expand services to mid-sized growing businesses.
- The interconnect crisis: Why enterprise AI scaling is about to hit a wall
By Dr Rohin Y, Founder-CEO, LightSpeed Photonics Unlike the AI of ChatGPT & Gemini, we consumers are used to, enterprise AI requirements are quite different. Firstly, they have to be […] The post The interconnect crisis: Why enterprise AI scaling is about to hit a wall appeared first on Express Computer .
- The Only Startup Moats Left In The AI Era Are Data And Distribution
AI took 80% of Q1 2026 venture funding. Web3 events founder Rime Salmi says the only startup moats left are data and distribution, and the guest list proves it.
- AI could end Wall Street’s EPS obsession
AI could end Wall Street’s EPS obsession Reuters
- Cloudflare introduces AI monitoring tools for enterprise governance
Cloudflare, Inc. has launched Identity-Aware AI Gateway and User Insights, two new capabilities designed to help organisations monitor, govern and analyse the use of AI across their enterprise environments. The […] The post Cloudflare introduces AI monitoring tools for enterprise governance appeared first on Express Computer .
- ChatGPT could soon let you easily create and use custom WhatsApp stickers
No more hunting for the perfect sticker.
Score: 48🌐 MovesAug 7, 2026https://www.androidauthority.com/chatgpt-whatsapp-stickers-apk-teardown-3695710/ - LG Group chief to meet Nvidia’s Jensen Huang in U.S. next week
LG Group chief to meet Nvidia’s Jensen Huang in U.S. next week 매일경제
- Snowflake Summit 2026: The Race Has Shifted From Building AI To Operating It
The biggest takeaway from Snowflake Summit 2026 wasn’t another AI announcement; it was a fundamental shift in what enterprises should expect from a data platform for AI. The conversation has moved beyond building models and copilots to operationalizing agentic AI at scale. It requires more than AI infrastructure; it demands a lakehouse capable of delivering […]
Score: 48🌐 MovesAug 7, 2026https://www.forrester.com/blogs/snowflake-summit-2026-the-race-has-shifted-from-building-ai-to-operating-it/ - Google doesn't need the LLM crown
Whoever stands atop the AI race podium isn’t the main point anymore.
Score: 48🌐 MovesAug 7, 2026https://www.semafor.com/article/08/07/2026/google-doesnt-need-the-llm-crown - Supabase is now a connector on Perplexity Computer
Query Postgres data, look up users, and invoke Edge Functions from a Perplexity chat.
Score: 48🌐 MovesAug 7, 2026https://supabase.com/blog/supabase-is-now-a-connector-on-perplexity-computer - Now That AI Writes The Code, Who’s Guarding The Architecture?
An AI agent multiplies whatever discipline you already have. It does not supply discipline you don’t.
- Tencent Cloud Open-Sources TencentDB Agent Memory v2.0: A Team-Level Memory Hub for AI Coding Agents
Tencent Cloud Open-Sources TencentDB Agent Memory v2.0: A Team-Level Memory Hub for AI Coding Agents MarkTechPost
Score: 48🌐 MovesAug 7, 2026https://www.marktechpost.com/2026/08/07/tencent-cloud-open-sources-tencentdb-agent-memory-v2-0/ - The next age of LLMs? Dev gets a small LLM running at 10 tokens a second locally on a $10 microcontroller
A 28.9M-parameter model runs on a microcontroller costing less than $10 at 9.88 tokens a second because 25M of those parameters never leave flash storage
- Denmark Adds Oral Defenses to Curb AI Cheating in High Schools
Denmark is adding oral defenses and tighter exam controls in upper secondary schools as officials move to curb AI-assisted cheating and verify student work. The post Denmark Adds Oral Defenses to Curb AI Cheating in High Schools appeared first on TechRepublic .
Score: 47🌐 MovesAug 7, 2026https://www.techrepublic.com/article/news-emea-denmark-ai-cheating-oral-defenses/ - New AI model reveals the volume of the world's glaciers
How much ice is stored in the world's glaciers? And where exactly is it located? A new study led by Ca' Foscari University of Venice, in collaboration with the Institute of Polar Sciences of the National Research Council of Italy (CNR-ISP), provides an updated global map of glacier ice volume.
- California’s AI transparency law doesn’t solve the first-impression problem
California’s new AI transparency law took effect this week, but it defines “transparency” in a way that may not help many consumers. The law, which passed in 2024, sets up a robust transparency infrastructure for AI-generated content, but it does not guarantee that the real “story” of a piece of content is shown when it matters most: at the user’s first impression. What California’s law gets right That story is told through the provenance data embedded within AI-generated media. The transparency law takes a thoughtful and technically sophisticated approach to making that data available to journalists, platforms, investigators, researchers, and courts. The law requires AI companies that make widely used AI generation tools to include two types of provenance data with the content their tools produce. The first is metadata, accompanying the content file that identifies who created the media, when, and with what tool. The other is a smaller set of the same kind of information hidden within the content itself (for example, within the pixels of a generated image). AI companies must provide a free public detection tool that can identify either kind of provenance data. The law also requires AI creation tools to offer users a way to attach a visible or audible label indicating that the content was AI-generated, but it does not require the tools to affix such a label to everything they generate. The authors of the law were aware that establishing and preserving provenance data might be of limited use if actual content consumers never see it. So, starting next year, the law will require content distribution networks, such as social networks, to at least alert users to the availability of the data. A platform can provide a link to the provenance data, allow the user to download it, or provide a special interface for displaying it. Even if the platform chooses that last method, however, there is no language in the law specifying that the interface must appear adjacent to the content. Some platforms might decide to affix an “AI-generated” label directly to the content. Others might display a text link reading “content credentials available,” or a small icon. It is up to the platform. The effectiveness of the law could therefore depend on the platform operator’s (and its lawyers’) design choices rather than on the technical provenance system the law establishes. Two kinds of “transparency” The way the law is written illustrates that the AI industry and its regulators are working with two different definitions of “transparency.” One means that AI companies’ tools establish and preserve the technical “story” of a piece of content. The other refers to an assurance to content consumers that images, videos, or audio recordings really are what they purport to be, and that they can be taken at face value. The California law mainly focuses on the first definition. But provenance data only sets the stage for real user transparency. The law does not require that the data be part of the content’s initial presentation to a user. The first-impression gap In the attention economy, that initial presentation matters a lot. One look at a generated video, for example, can seed the user’s mind with an opinion or reinforce one that is already there. A fake product video that goes viral could quickly damage a brand. A generated CEO statement could sink a company’s stock. Synthetic audio of a politician propositioning a minor could tank a campaign. Some pieces of content cannot be unseen, even if they are debunked by provenance data just a few minutes later. Because many users grew up with the assurance that “seeing is believing,” they are vulnerable to a new technology that short-circuits the maxim. And because confirmation feels better than cognitive dissonance, users might prefer to believe what they see and move on, ignoring the opportunity to drill down into the authentication data. California was right to require that provenance data be available. But availability is not enough. For some kinds of content, it is crucial that the data accompany the presentation of the content. Even though California’s law may serve as a useful model for other states, nobody is saying that it is meant to be the last transparency law the state will need. While the law does venture into regulating content distribution, its main thrust is establishing a robust authenticity infrastructure for provenance in the AI age. Future legislation may focus more on the “last mile” problem of meeting users with the “story” of a piece of content when and where they need it most.
- Gemini’s revamped Wear OS design is finally rolling out, and it was worth the wait
Gemini on Wear OS is trading its full screen app for a slick new overlay that finally matches Android phones, complete with live transcripts and a smarter mic indicator.
- Jobs, AI, and Tech Earnings | Bloomberg Tech 8/07/2026
Bloomberg’s Ed Ludlow breaks down the latest jobs data, as US employers unexpectedly cut jobs in July and questions grow over AI’s role in the labor market. Plus, the CEOs of Twilio, Lyft, and DraftKings join to discuss their latest earnings. And, OpenAI’s first consumer device is taking shape, an AI smart speaker designed to look like a doughnut. (Source: Bloomberg)
Score: 45🌐 MovesAug 7, 2026https://www.bloomberg.com/news/videos/2026-08-07/bloomberg-tech-8-07-2026-video