AI News Archive: August 7, 2026 — Part 5
Sourced from 500+ daily AI sources, scored by relevance.
- Parliament asks for deepfake complaint data, the govt responds with laws instead
In response to questions on no. of deepfake complaints on social media & the platforms' compliance to content removal deadline, MeitY cited several sections under the IT Act, BNS, & the amended IT Rules used to take action. The post Parliament asks for deepfake complaint data, the govt responds with laws instead appeared first on MEDIANAMA .
Score: 45🌐 MovesAug 7, 2026https://www.medianama.com/2026/08/223-parliament-deepfake-complaint-data-govt-laws/ - See what 5 builders are making with Gemini Omni
Gemini Omni images
Score: 45🌐 MovesAug 7, 2026https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-omni-builders/ - China Rolls Out a Cluster of Heavyweight Technological Breakthroughs
From thinner-than-A4 high-end steel and a hardware refresh for the FAST telescope, to a pair of AI-enabled experimental satellites, China's late-summer 2026 scientific push covers industries from heavy manufacturing to astronomy and from orbital compute to next-generation displays. Several of these milestones also break foreign monopoly positions that have held for years. Several categories were previously blocked by export-control tightening, so domestic supply reshapes both cost curves and licensing dynamics.
Score: 45🌐 MovesAug 7, 2026https://pandaily.com/china-heavy-tech-roundup-fast-steel-ai-satellites-aug2026 - Taming AI’s wild frontier
The most advanced systems are evolving faster than efforts to keep them safe
Score: 45🌐 MovesAug 7, 2026https://www.ft.com/content/822f8902-1808-469f-97e0-634c552a7aa4?syn-25a6b1a6=1 - AI avatars enter the job interview
For some job candidates, using AI in the application process is a reaction to a system that’s grown more machine than human.
Score: 45🌐 MovesAug 7, 2026https://www.semafor.com/article/08/07/2026/ai-avatars-enter-the-job-interview - Influencers are becoming collateral damage in the war on AI slop
Influencers are becoming collateral damage in the war on AI slop Business Insider
Score: 45🌐 MovesAug 7, 2026https://www.businessinsider.com/influencers-fear-having-their-content-branded-as-ai-2026-8 - The Four AI Narratives Splitting Venture Capital Right Now
The AI bubble case is four separate arguments with four different tests. Burry on depreciation, Gurley on revenue, Zitron on solvency, MIT on deployment.
- Naver Posts Resilient Second-Quarter Profit Despite Higher AI Costs
The South Korean internet company posted resilient second-quarter earnings despite higher AI-related operating costs, supported by solid growth in its core search platform and e-commerce businesses.
- Applied Materials is about to report earnings. How to trade the AI picks-and-shovels play ahead of results
Even as the stock has more than doubled in 2026, the outlook is still strong for the wafer fab equipment giant.
- Crypto’s infrastructure era arrives, with AI agents poised to reshape demand
Crypto companies are trying to build a second growth engine by turning agents into the next wave of users.
- 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 - Uzbekistan-developed AI module launches aboard Earth observation satellite
The Samarkand-2028 Earth observation satellite has entered orbit carrying an AI module developed by Uzbek engineers, processing data in orbit before transmission to improve efficiency in fields including agriculture and environmental monitoring.
- UCF researcher to support DOE project using AI to accelerate scientific discovery
UCF researcher to support DOE project using AI to accelerate scientific discovery EurekAlert!
- GPT-5.6 Luna default 🌙, Agent Plugins 🔌, AMD Taalas acquisition 🧩
GPT-5.6 Luna default 🌙, Agent Plugins 🔌, AMD Taalas acquisition 🧩
- Naïve bags $28.5M in funding to automate the creation and day-to-day running of almost any business
Palo Alto-based Naïve Inc., an artificial intelligence lab that’s developing autonomous agents capable of setting up and running entire businesses, said today it has closed on a $28.5 million Series A round of funding. Nexus Venture Partners led the round, which saw participation from Y Combinator, Zetta, Liquid 2 and a host of angel investors. […] The post Naïve bags $28.5M in funding to automate the creation and day-to-day running of almost any business appeared first on SiliconANGLE .
- PSA: Claude Code enabling auto mode as default next week, Anthropic says
Claude Code auto mode will become the default permission setting for users next week. Starting August 14, sessions for Pro, Max, and Team users will use it unless a user or administrator has pinned another setting.
Score: 44🌐 MovesAug 7, 2026https://9to5mac.com/2026/08/07/psa-claude-code-enabling-auto-mode-as-default-next-week-anthropic-says/ - Data Center Liquid Cooling Market to Reach USD 23.24 Billion by 2035 | Technologies Compete to Support Gigawatt Scale AI Data Center Campuses | DataM Intelligence
Data Center Liquid Cooling Market to Reach USD 23.24 Billion by 2035 | Technologies Compete to Support Gigawatt Scale AI Data Center Campuses | DataM Intelligence USA Today
- The HP EliteBook X G2i is the AI laptop built to move as fast as your business - and then some
The HP EliteBook X G2i is the AI laptop built to move as fast as your business - and then some Tom's Guide
- Agentic AI could force a rethink of enterprise AI server design, researchers say
Enterprises deploying agentic AI may need a new generation of AI servers as conventional GPU-centric infrastructure struggles to efficiently execute multi-step AI workflows, according to researchers from Microsoft Azure and the University of Texas at Austin. Drawing on production telemetry from Microsoft’s Azure cloud and experiments with representative open-source agent frameworks, the researchers found that AI agents spend far more time coordinating models, tools, and orchestration software than conventional inference systems assume. Rather than behaving like standalone LLM requests, agentic applications execute as dynamic workflows that repeatedly move work between CPUs, GPUs, and external services, exposing inefficiencies in today’s server designs. “Our study shows that agentic execution is fundamentally fragmented and heterogeneous,” the researchers wrote in the paper. “Each request expands into a workflow of LLM inferences, tool invocations, and orchestration decisions that repeatedly crosses the CPU-GPU boundary.” According to the paper, that execution pattern places the CPU on the application’s critical path because orchestration software and tools execute on the host while model inference runs on GPUs. The researchers said conventional server architectures are poorly matched to those workloads because fragmented execution strands CPU and GPU resources, different host-side software roles have different resource requirements, and multiplexing multiple agents increases coordination overhead. Production data points to fragmented execution The researchers said a representative production request alternated between multiple LLM calls, tool discovery, tool execution, and orchestration before completing. In a controlled study using the CORAL framework, a single workload expanded into 580 LLM calls interleaved with 552 tool invocations, causing execution to “ping-pong between the two processors hundreds of times.” The study also found that host CPU utilization remained low for extended periods before rising sharply during bursts of tool execution, while GPU utilization varied widely depending on workflow composition, leaving some accelerators saturated and others idle. According to the researchers, the fragmented execution pattern leaves CPUs and GPUs underutilized on average while allowing either processor to become “a transient bottleneck on the workflow’s critical path,” making static resource provisioning inefficient for agentic workloads. Sanchit Vir Gogia, chief analyst at Greyhound Research, said the findings show enterprises should evaluate agentic AI infrastructure differently from conventional inference deployments. “Agentic AI is not a bigger chatbot; it is a distributed application with inference embedded inside it,” Gogia said. “The individual ingredients are familiar. The execution graph is new.” “The GPU remains indispensable, but it no longer owns the entire clock,” he added. “Tool time matched or beat inference time in more than 27 per cent of requests, and average utilisation is beginning to lie to infrastructure teams.” Researchers propose workflow-aware server design Based on those findings, the researchers proposed a server architecture, called Agora, that dynamically reallocates CPU and GPU resources, separates scheduling, orchestration, and tool execution into dedicated host roles, and adapts resource allocation to workload behavior. “Agora dynamically harvests idle CPU cores for co-located throughput work, while protecting agentic tail latency against tool spikes. It also oversubscribes GPU memory by placing more agents on each GPU, prefetching the next agent’s state to hide swap latency,” the researchers wrote in the paper. “To match the machine to the heterogeneous roles, Agora pools cores by role and applies affinity-aware scheduling to restore locality. These techniques substantially improve CPU and GPU utilization and per-server throughput while preserving agent tail latency.” In their evaluation, the researchers reported that Agora increased host CPU utilization by about 30%, recovered about 95% of a co-located workload’s standalone throughput under low load, freed roughly one-third of GPUs through workload consolidation, increased generation throughput by 82%, and reduced tail latency by 2.5 times. Gogia said the findings indicate that infrastructure procurement should focus less on individual processors and more on how entire AI workflows execute. “The CPU is not returning to the throne; the throne itself is disappearing,” he said. “Competitive advantage is moving from the individual processor to the heterogeneous server, rack and runtime operating as one system.” He said organizations should “procure the workflow, not the box,” arguing that workload profiling and scheduling are likely to deliver greater benefits than sizing infrastructure based on model inference alone.
- Chinese AI models widen startup choices: OpenAI
The emergence of cost-effective AI models from Chinese firms is enriching the startup landscape. It’s crucial for startups to leverage a range of AI models tailored to specific tasks rather than relying solely on one. With OpenAI reducing its pricing, there's an opportunity for startups to innovate and create meaningful AI products.
- Can we train AI to read an MRI?
Can we train AI to read an MRI? EurekAlert!
- IBM previews Apptio AI Value & ROI to track AI spend and results
IBM previews Apptio AI Value & ROI to track AI spend and results verdict.co.uk
- Disney Plus tries a new AI-powered search
Disney is testing a new AI-powered tool for Disney Plus that uses a natural language search, a voice query, or a suggested prompt to create a customized row of show and movie recommendations. Disney Plus, like other streaming services, can recommend shows to watch based on your viewing history. But the company says this new […]
Score: 43🌐 MovesAug 7, 2026https://www.theverge.com/streaming/976881/disney-plus-ai-recommendation-espn-search - Under the watchful eye of SEPTA’s AI bus cameras, a decline in parking perpetrators
Under the watchful eye of SEPTA’s AI bus cameras, a decline in parking perpetrators Inquirer.com
Score: 42🌐 MovesAug 7, 2026https://www.inquirer.com/transportation/septa-ai-bus-cameras-stopping-parking-violations-fines-20260807.html - Meet the tech founder taking on Silicon Valley with homegrown AI built for African businesses
Meet the tech founder taking on Silicon Valley with homegrown AI built for African businesses africa.businessinsider.com
- Fortinet targets network security platform convergence to address AI-era complexity
In the rush to adopt AI, enterprise security architectures are diminishing, and the only appropriate response is a network security platform that incorporates networking and security into a single, consistently governed fabric. That’s the vision Anthony James (pictured), executive vice president of marketing at Fortinet, pitched at Black Hat 2026. James, who first joined the […] The post Fortinet targets network security platform convergence to address AI-era complexity appeared first on SiliconANGLE .
Score: 42🌐 MovesAug 7, 2026https://siliconangle.com/2026/08/07/network-security-platform-ai-governance-fortinet-blackhat/ - AZIO AI Holdings Inc. (NASDAQ: AZIO) Signs Key Agreement, Establishes Focus on AI Compute Infrastructure
AZIO AI Holdings Inc. (NASDAQ: AZIO) Signs Key Agreement, Establishes Focus on AI Compute Infrastructure Toronto Star
- 'I wasn’t driving. I had Autopilot on': Tesla’s Full Self-Driving system is getting drivers speeding tickets, and owners aren’t happy
Tesla's autonomous driving systems are getting drivers speeding tickets — but the law is having none of it.
- New audit system maps how mental-health risks emerge in AI chatbot conversations
New audit system maps how mental-health risks emerge in AI chatbot conversations medsci.ox.ac.uk
- ‘Indian creators embracing AI faster than anywhere else’: Netflix’s Ted Sarandos at Express Adda
‘Indian creators embracing AI faster than anywhere else’: Netflix’s Ted Sarandos at Express Adda
- SkyAI Technologies builds AI drone detection systems for airports and secured sites
SkyAI Technologies builds AI drone detection systems for airports and secured sites YourStory.com
- New FCC proposal could ‘retroactively ban’ some existing ag spray drones, warns DJI
The proposal would mean that selected ag spray drones already cleared for the US market could no longer be imported or sold, says DJI. The post New FCC proposal could ‘retroactively ban’ some existing ag spray drones, warns DJI appeared first on AgFunderNews .
Score: 42🌐 MovesAug 7, 2026https://agfundernews.com/new-fcc-proposal-could-retroactively-ban-some-existing-ag-spray-drones-warns-dji - The FCC Moves to Retroactively Ban Drones With LiDAR Obstacle Avoidance
The FCC Moves to Retroactively Ban Drones With LiDAR Obstacle Avoidance PCMag
Score: 42🌐 MovesAug 7, 2026https://www.pcmag.com/news/the-fcc-moves-to-retroactively-ban-drones-with-lidar-obstacle-avoidance - TutorMoments: Do AI tutors know when to help and when to hold back?
TutorMoments is an open, replay-based evaluation framework that tests whether AI tutors can recognize when to support a student and when to hold back and encourage deeper reasoning.
- Litigation Trends to Watch: Algorithmic Pricing Bans, Cyclospora Outbreak and 'Familiar Face Detection' Spark Lawsuits
New city bans on algorithmic pricing are spurring class actions.
- Palantir Popped 39% This Week, Leads 27 To Best Stock Lists
Here's a list of all the top-rated growth stocks that have just been added to the IBD 50, IBD Big Cap 20, Sector Leaders, Stock Spotlight and IPO leaders. The post Palantir Popped 39% This Week, Leads 27 To Best Stock Lists appeared first on Investor's Business Daily .
Score: 41🌐 MovesAug 7, 2026https://www.investors.com/news/palantir-popped-39-this-week-leads-27-to-best-stock-lists/ - UPMC, KLAS Research study examines AI adoption trends, governance barriers
More than 90% of respondents reported deploying AI tools, but only 44% said they have a dedicated data platform for testing.
- Secret Service reveals new surveillance system amid slowdown in privacy impact assessments
The Helix tool, which combines surveillance video, facial recognition tech and license plate data to monitor potential threats, is one of just a few PIAs posted by the agency this year. The post Secret Service reveals new surveillance system amid slowdown in privacy impact assessments appeared first on FedScoop .
Score: 41🌐 MovesAug 7, 2026https://fedscoop.com/secret-service-surveillance-system-privacy-impact-assessment-dhs/ - Claude Code now lets sessions talk to each other on macOS
Users running the latest version of Claude Code on macOS and Linux can now have their sessions message each other to share findings, ask questions, and coordinate work. Here are the details.
Score: 41🌐 MovesAug 7, 2026https://9to5mac.com/2026/08/07/claude-code-now-lets-sessions-talk-to-each-other-on-macos/ - Sungkyunkwan University undergrad researcher develops drone ai identification semiconductor tech
Sungkyunkwan University undergrad researcher develops drone ai identification semiconductor tech EurekAlert!
- M2P raises Rs 100 crore debt from Alteria to fund AI expansion
The three-year facility — M2P’s second debt raise — will largely finance AI product development and computing capacity, cofounder and chief executive Madhusudanan R told ET. This includes token consumption, or the expense incurred when AI models process information, he said. A small portion will be used to refinance higher-cost debt raised in 2023. Madhusudanan declined to disclose the interest rate.
- Why Twilio Sees More AI Upside Ahead
Twilio shares surged after the cloud communications company beat expectations and delivered record profitability and free cash flow. CEO Khozema Shipchandler joins Bloomberg to explain why AI is still only a modest contributor to revenue today, how Twilio’s global communications infrastructure creates a competitive moat, and why he sees agentic AI as a long-term tailwind for the business. He joins Ed Ludlow on "Bloomberg Tech." (Source: Bloomberg)
Score: 40🌐 MovesAug 7, 2026https://www.bloomberg.com/news/videos/2026-08-07/why-twilio-sees-more-ai-upside-ahead-video - Abu Dhabi to test high-tech mattress using AI to ease sleep apnoea
Abu Dhabi to test high-tech mattress using AI to ease sleep apnoea thenationalnews.com
- Meet the 82-year-old Kentucky grandma who turned down $26M to turn her farm into a data center
Meet the 82-year-old Kentucky grandma who turned down $26M to turn her farm into a data center Fortune
Score: 40🌐 MovesAug 7, 2026https://fortune.com/2026/08/07/kentucky-grandma-turned-down-26-million-family-farm-data-center/ - YouTube star Hank Green sets new AI policy for himself — and urges other content creators to do the same
YouTube star Hank Green sets new AI policy for himself — and urges other content creators to do the same Business Insider
Score: 40🌐 MovesAug 7, 2026https://www.businessinsider.com/hank-green-youtube-star-sets-personal-ai-policy-after-backlash-2026-8 - Wispr moves beyond AI dictation with note-taking assistant
Wispr, the startup behind dictation tool Wispr Flow , has created an AI note-taking assistant that records meetings and generates conversation summaries for users. The Wispr Flow Notetaker tool “captures your meetings so you can stop splitting your attention between listening and writing things down,” said Sahaj Garja, Wispr CTO and co-founder. Notetaker starts recording with one click, and doesn’t require a bot to attend a video or voice call. It can also be used to capture in-person conversations. The software has three key functions. Before a call, Notetaker displays a meeting brief with information such as meeting purpose and background of participants. Once the meeting starts, a live transcript displays the dialogue text and labels speakers. A “what did I miss?” button provides a summary of talking points from the previous few minutes. Finally, post-meeting, Notetaker generates a more detailed summary organized by topic that includes information such as key dates, decisions, and next steps. Users can search across notes from previous meetings in the Notetaker app. “Over time your meeting history stops being a folder of documents you have to go find and becomes something you can ask questions of,” said Garja. Notetaker integrates with AI assistants such as Anthropic’s Claude and OpenAI’s ChatGPT via model context protocol. This allows users to connect outputs such as transcripts and summaries “into how you already work, instead of sitting in a separate app,” said Garja. With Notetaker, Wispr competes in an increasingly busy market for AI note-taking apps that includes Fireflies, Granola and Otter. Wispr claims Notetaker can produce more accurate transcripts than existing tools, partly because of the additional context it uses during transcription. It uses the same personal dictionary from Wispr Flow that includes acronyms, products, and preferred spellings, and can also draw on other sources such as calendar information to understand the purpose of a meeting and help ensure speakers are labelled correctly. Before generating the final summary, Notetaker also re-reads the live meeting transcript and combines it with additional context to create a more accurate final output, Garja said. Notetaker is the first new product launched by Wispr, which was founded in 2021 and has since raised $81 million in funding. “We didn’t set out to build a dictation app,” said Garja. “The mission has always been to reshape how people interact with their devices, and dictation was the fastest way in.” “Notetaker is the second product on that path. Dictation took the keyboard out of writing. Notetaker takes it out of meetings, so nobody has to spend the call typing up what everyone just said.” User consent when recording calls As AI note-taking tools have become more prevalent in the workplace, privacy concerns have arisen, including the need for all-party consent when recording a call in some jurisdictions, and whether meeting audio is used to train AI models. Two software vendors, Otter and Granola , currently face separate lawsuits in California that allege privacy law violations related to their products. Wispr Flow Notetaker captures audio locally on a user’s device rather than joining the call as a visible bot. That means there’s no notification to signal that a conversation is being transcribed, which places responsibility on users to disclose the recording to others on the call in accordance with local laws, said Garja. “Users should always let the other person know before you start recording or transcribing a conversation, whether it’s a video call, an in-person meeting, or a phone call,” he said, adding that Wispr intends to build additional features for automated consent messaging “in the coming weeks.” Wispr doesn’t train its AI models on customer data without consent, though free and standard tier customers must choose to opt-out, according to Wispr’s privacy terms . Nor does it create “voiceprints or biometric profiles” of users or anyone else on a call using audio recording data, the company says. When Notetaker is active, conversation audio is captured on a user’s device and processed on cloud servers to enable transcription. The recorded audio file is encrypted and stored temporarily on the user’s device or cloud storage, Wispr said. After a limited period, the audio is automatically deleted. Notetaker is available with the Wispr Flow macOS app to free and paid subscribers, with support for Windows “coming soon.”
- The secret ingredients powering AI chatbots
Some US companies are disclosing they use a cocktail of AI, including some Chinese open-source models, to build custom consumer-facing tools.
Score: 40🌐 MovesAug 7, 2026https://www.semafor.com/article/08/07/2026/the-secret-ingredients-in-ai-chatbots - Government seeks greater transparency into Instagram’s algorithm, asks Meta to comply with local laws
Government seeks greater transparency into Instagram’s algorithm, asks Meta to comply with local laws
- Experts warn malicious AI skills are hitting more victims than ever — with one family amassing 1.7 million downloads
What if your AI agent suddenly turned rogue and sent all your passwords to a hacker?
- Menlo Security targets real-time AI agent security with MARS platform
As AI agents gain access to enterprise systems and sensitive data, security teams need greater visibility into their actions. Real-time monitoring and policy enforcement are becoming essential as a part of prompt injection technology. With these challenges in mind, Menlo Security Inc. has sought to respond with Menlo Agent Runtime Security (MARS). In this new […] The post Menlo Security targets real-time AI agent security with MARS platform appeared first on SiliconANGLE .
Score: 40🌐 MovesAug 7, 2026https://siliconangle.com/2026/08/07/prompt-injection-technology-blackhat/