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Industry

AI funding rounds, acquisitions, partnerships and leadership changes, plus regulation, copyright lawsuits and big compute deals.

16 stories in the last 7 days

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    Microsoft catches AI-generated election disinfo campaigns

    Microsoft just warned that Chinese operatives are likely using AI-generated images to mimic U.S. voters and stoke division ahead of the 2024 election. Analysts say diffusion-powered visuals around hot-button topics like gun violence are far more convincing than old stock photos, helping covert operations spread virally to over 100 million people.

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    Time names the 100 most influential people in AI

    Time just revealed its inaugural list of the 100 most influential people in AI, spotlighting figures from tech giants to global policymakers. The roster includes OpenAI's Sam Altman, Elon Musk, UAE's AI minister Omar Al Olama, and AI pioneer Geoffrey Hinton. The ages range from an 18-year-old activist to a 76-year-old veteran, showing how diverse forces are steering the technology.

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    OpenAI sets its first-ever developer conference for November

    OpenAI just announced its first global developer conference, OpenAI DevDay, scheduled for November 6. The one-day event will feature a keynote and breakout sessions previewing new developer tools, with parts streamed online. While over 2 million developers use its models, in-person attendance will be capped at just a few hundred.

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    Pentagon eyes swarms of cheap, smart AI drones

    The Pentagon is planning to field thousands of "small, smart, cheap" autonomous drones over the next two years. Tied to its multi-million-dollar Replicator initiative, the military wants AI-driven air, ground, and space networks to counter strategic rivals with scale and speed.

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    Musk tried to fold OpenAI into Tesla before his 2018 exit

    A newly published excerpt from Walter Isaacson's biography reveals Elon Musk tried to merge OpenAI into Tesla before walking away in 2018. OpenAI rejected the proposal, prompting Sam Altman to create a for-profit arm that brought in billions from Microsoft. Sidelined from the boom, Musk eventually launched xAI to settle the score.

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    Deeproute targets European carmakers with cheap driverless tech

    Deeproute.ai just announced plans to open a German operations hub in 2024, aiming to pitch its production-ready autonomous driving tech to European carmakers. Its Drive 3.0 system ditches HD maps and caps hardware costs at around $2,000 using Nvidia chips. Like many AV startups, it is pivoting from robotaxis to chase immediate cash flow from carmaker partnerships.

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    Why Meta’s Yann LeCun isn’t buying the AI doomer narrative

    Meta chief AI scientist Yann LeCun explains why he rejects the existential risk hype around AI, arguing that open sourcing models like Llama 2 is essential to prevent a small group of Silicon Valley engineers from controlling the future interface of the digital world. For LeCun, broader access and transparency beat corporate gatekeeping every time.

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    Intel bets on AI escaping the cloud

    Intel CEO Pat Gelsinger says AI won't stay locked in cloud data centers for long, arguing that economics, latency, and privacy will push workloads to the edge. The company is set to launch its Meteor Lake PC processors with dedicated AI silicon, leveraging its 80% x86 PC market share to convince developers to run AI locally rather than pay for costly cloud compute.

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    X updates terms to train AI models on user posts

    X just updated its Terms of Service to officially allow user posts to be used for training AI models. This creates a dedicated data pipeline for Elon Musk's xAI startup, while also sparking worries over tighter algorithmic content filtering and platform data control.

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    How Amazon trained palm scanning with fake hands

    Amazon just detailed how generative AI is quietly powering its Amazon One palm-scanning tech. Faced with a shortage of real palm data, the team built a "palm factory" to produce millions of synthetic images covering lighting shifts, bandages, and silicon fake hands. The system has clocked over 3 million uses with 99.9999% accuracy across 500+ Whole Foods stores. Why it matters: Synthetic data is solving the hardest biometric cold-start problems without harvesting real-world privacy.

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    Dark web cybergangs are selling AI fraud tools as a service

    A newly uncovered dark web commercial reveals how transnational criminal rings are packaging generative AI and deepfake tools for lower-level scammers. Experts warn that these "fraud-as-a-service" enterprises are scaling identity theft and extortion to unprecedented levels.

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    OpenAI launches a classroom guide for teaching with ChatGPT

    OpenAI just released a comprehensive guide for teachers bringing ChatGPT into classrooms, packed with starter prompts and notes on AI detector limits. It showcases real-world uses like role-playing debates, quiz crafting, and ESL practice, while reminding educators that AI outputs always require human verification.

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    U.S. curbs AI chip exports to the Middle East

    The U.S. government just expanded its AI chip export restrictions beyond China, requiring Nvidia and AMD to secure licenses before shipping top-tier chips like the A100 and H100 to some Middle Eastern nations. Both chipmakers say the curbs won't immediately hit their revenues, but it shows Washington is tightening its grip on global compute.

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    Call of Duty deploys AI to police toxic voice chats

    Activision just partnered with Modulate to bring real-time voice chat moderation to Call of Duty using an AI tool called ToxMod. Beyond standard transcription, the system analyzes tone, volume, and emotion to flag hate speech and harassment for human review. It is currently rolling out in North America, with a wider global release set for November.

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    OpenAI fires back at authors over ChatGPT copyright claims

    OpenAI just asked a California federal court to toss most claims in a pair of author lawsuits, including one from Sarah Silverman. The company argued that training AI on copyrighted books constitutes transformative fair use, since the model only extracts statistical patterns and linguistic rules rather than plagiarizing text.

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    Microsoft wants to put an AI assistant in your backpack

    Microsoft just patented a smart backpack packed with cameras, microphones, and an AI engine. The bag is designed to scan your surroundings and answer contextual queries, like checking whether a ski path is safe or adding events from a concert poster. Like most patents, it may never turn into an actual consumer product.

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    OpenAI on track to hit $1B in annual revenue

    OpenAI is now projected to generate more than $1 billion in revenue over the next 12 months, according to The Information. That puts its current run rate at over $80 million a month, a massive leap from its $28 million projection back in 2021. With enterprise demand surging and ChatGPT Enterprise launching, businesses are clearly ready to pay for AI.

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    The US Copyright Office wants to hear your AI takes

    The US Copyright Office just opened a public comment period to figure out where AI and copyright law collide. Regulators are zeroing in on three thorny questions: training on copyrighted data, granting copyright to AI-generated works without humans, and legal liability. Why it matters: As copyright lawsuits pile up against OpenAI and Midjourney, public input here will directly shape the playbook for future AI regulation.

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    Google Cloud launches A3 instances with Nvidia H100 GPUs

    Google Cloud and Nvidia just announced the general availability of A3 instances featuring Nvidia H100 GPUs. The partnership also brings Nvidia acceleration to Google's PaxML framework, now accessible via the NGC container registry to streamline massive model training. Why it matters: Cloud teams get serious horsepower to tackle demanding generative AI workloads.

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    Google Cloud unveils its next-gen TPU with 2x training efficiency

    Google Cloud just unveiled its fifth-generation custom TPU chips at Cloud Next, aiming squarely at high AI computing costs. The new processors deliver 2x the training performance per dollar and 2.5x for inferencing versus the previous gen, while letting massive workloads scale across physical clusters to tens of thousands of chips.