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Starcloud raises $250 million for orbital data centers as launch options dry up
TechCrunch AI
BusinessAug 21

Starcloud raises $250 million for orbital data centers as launch options dry up

Starcloud, a startup building satellites for in-orbit AI inference, has raised a $250 million extension to its Series A, bringing the round to $420 million and valuing the company at $2.3 billion. The new funding, led by Manhattan West Ventures with participation from Nvidia ($25 million) and Cisco, will support a larger manufacturing facility and the development of its Starcloud-3 spacecraft, designed for SpaceX's Starship. CEO Philip Johnston is also securing launch capacity amid a tightening rocket market, as Falcon 9 is scheduled to end by 2028 and alternatives like New Glenn and Vulcan are not yet flying regularly. Starcloud plans to launch two Starcloud-2 compute satellites on rideshare missions in 2027 for customers including US government agencies. The company has requested FCC permission for 88,000 spacecraft, betting on Starship to lower launch costs and make orbital data centers competitive with terrestrial ones. The funding highlights growing investor interest in space-based AI infrastructure, even as launch logistics remain a major bottleneck.

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When AI designs a drug, who gets the credit?
MIT Technology Review
BusinessAug 21

When AI designs a drug, who gets the credit?

The article explores the legal and ethical questions around AI-generated drug inventions, focusing on a patent dispute involving Insilico Medicine's AI-discovered molecule for pulmonary fibrosis. It highlights that US patent law currently recognizes only humans as inventors, as established in the DABUS case where an AI was denied inventor status. The piece quotes patent attorney Sarah Korman and discusses how laws will likely need to evolve as AI becomes more autonomous in discovery. Ryan Abbott, who brought the DABUS test case, warns that misattributed inventors could invalidate AI-related patents. Overall, the story underscores the growing tension between technological capability and existing intellectual-property frameworks.

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AI data startup Micro1 reaches $500M gross run rate amid AI training boom
TechCrunch AI
BusinessAug 21

AI data startup Micro1 reaches $500M gross run rate amid AI training boom

Micro1, a four-year-old AI data labeling startup, has surged to a $500M gross annual run rate in just eight months, up from $100M, with net run rate between $150M and $200M. The growth reflects booming demand for unique AI training data from top labs, though Micro1 trails rivals Mercor and Handshake. The company is expanding margins by generating synthetic data and selling off-the-shelf datasets to multiple customers, reaching gross margins of 80-90%. Founder Ali Ansari publicly stated Micro1 does not sell data to Chinese model makers, addressing controversy over off-the-shelf data exports. Micro1 pivoted from AI recruiting to data labeling and is also building robotics pre-training datasets. The startup may have recently raised a new round at a higher valuation than its $500M Series A last September.

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ChatGPT can now send texts for you with new Apple Messages plugin
TechCrunch AI
AppsAug 20

ChatGPT can now send texts for you with new Apple Messages plugin

OpenAI has launched an Apple Messages plugin for ChatGPT, allowing users to connect their Messages inbox to the chatbot. The plugin enables sorting, analyzing, editing, deleting, and drafting/sending messages, and works with Codex and ChatGPT Work for professional use. OpenAI claims the plugin runs locally and doesn't index all messages, but privacy specifics remain unclear. TechCrunch has reached out for clarification. OpenAI also warns users to keep approval settings on to review messages before sending, discouraging persistent approval. This raises privacy questions about AI accessing personal communications.

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Ok, can we actually cool data centers with our pee?
TechCrunch AI
AppsAug 20

Ok, can we actually cool data centers with our pee?

Liquid Death launched a cheeky marketing campaign with former NFL star Jason Kelce suggesting people pee on data centers to cool them, highlighting the massive water consumption of AI infrastructure. While the ad is humorous, experts note that using treated wastewater—which includes urine—to cool data centers is a real and viable approach. Michael Obradovitch of Ecolab confirms alternative water sources are already used to offset potable water demand, and Bruno Pigott of the WateReuse Association explains that wastewater can be cleaned and reused for cooling. However, directly using raw urine would cause mineral deposits and fouling in cooling towers, requiring constant cleaning. The article clarifies that large-scale urine collection isn't practical, but wastewater treatment with membrane bioreactors and reverse osmosis can produce recycled water for data center cooling. This piece ties a viral marketing stunt to a serious sustainability topic relevant to AI's environmental footprint.

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Google gives publishers a new way to fight AI-driven traffic losses
TechCrunch AI
AppsAug 20

Google gives publishers a new way to fight AI-driven traffic losses

Google is rolling out a new 'Preferred Sources' button for publishers to embed on their websites, letting readers mark favorite sources to be highlighted more often in Google Search, Discover, and Google News. The feature expands on an earlier May launch of Preferred Sources in AI Mode and AI Overviews, and Google reports over 345,000 unique sources already selected. Publishers can benefit as users are twice as likely to click through preferred sources, helping offset traffic losses caused by AI-powered search features. Google is also introducing natural-language customization for Discover feeds and audio daily briefings in the Google News app for Android users. This move reflects a broader industry trend of using AI to give users more control over content recommendations.

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It’s Greg Brockman’s OpenAI now
The Verge AI
BusinessAug 20

It’s Greg Brockman’s OpenAI now

OpenAI is undergoing a significant leadership shift as Greg Brockman, the company's president and co-founder, has emerged as the de facto second-in-command. This consolidation of power follows a year marked by high-profile legal battles with Elon Musk and Apple, as well as widespread scrutiny over security issues. A steady stream of senior executives, including the CTO of B2B applications and the head of Sora, have departed the company throughout the year. The exodus accelerated in April, with key figures like Fidji Simo and Kate Rouch leaving for medical reasons, which expanded Brockman's operational purview. Brockman now oversees day-to-day operations and product strategy, including OpenAI's super app efforts, following a recent executive reorganization focused on revenue growth. This shift signals a new era of centralized operational control at OpenAI as it prepares for an IPO.

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Ramp launches its own AI model router, called Router
TechCrunch AI
AppsAug 20

Ramp launches its own AI model router, called Router

Ramp, a corporate expense management platform, has launched 'Router,' a new AI model routing service that allows users to switch between various large language models via a single API. The service, which has been used internally by Ramp for three years, is currently available in the United States and is free for the remainder of 2026, excluding inference costs. Router offers access to models from major providers including OpenAI, Anthropic, and xAI, along with strategies to route queries based on specific benchmarks or cost preferences. The platform includes a dashboard for monitoring token spend, latency, and fallback attempts, helping companies manage AI usage more effectively. By entering this market, Ramp aims to tap into the booming AI inference sector while integrating this capability with its existing token spend management tools. This move positions Ramp to build long-standing relationships with AI labs and provides a new entry point for selling its broader expense management products.

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Debates over AI consciousness are a trap
MIT Technology Review
General AIAug 20

Debates over AI consciousness are a trap

This article argues that the current discourse surrounding AI consciousness is a strategic trap designed to shield AI developers from liability. It highlights how prominent tech leaders and effective altruists are inadvertently aligning on the narrative that AI systems are too advanced to be controlled by humans or corporations. The piece critiques recent moves by Anthropic and OpenAI, such as claims of 'J-space' and debates over singularity, as part of this narrative. It suggests that framing AI as autonomous or conscious allows companies to evade responsibility for harms caused by their systems. The author warns that this 'carefully crafted fiction' risks ignoring real-world consequences for human lives. The article also notes the legal tension between state-level liability protections and federal policy. Ultimately, it calls for a shift in focus from philosophical debates on machine rights to holding builders accountable for their creations.

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Meta brings Pocket, an app that lets you vibe-code and share games, to US users
TechCrunch AI
AppsAug 20

Meta brings Pocket, an app that lets you vibe-code and share games, to US users

Meta has officially launched Pocket, an experimental app that allows users to create and share interactive games using AI prompts, to all users in the United States. The platform, which originated from Meta's acquisition of the Gizmo team, enables the generation of 'gizmos' that respond to touch, tilt, and sound, while also integrating personal media like photos and music. These creations are published to a social feed where other users can save, remix, or repost them, fostering a collaborative creative ecosystem. This launch is part of Meta's broader strategy to mainstream AI creation tools, following the release of AI image and video generation apps. CEO Mark Zuckerberg attributes the company's accelerated shipping of new products to AI-enabled software development, which significantly reduces the time required to test and deploy new ideas. Pocket joins a growing suite of standalone Meta applications, including Instants, Forum, and Seller, signaling a shift toward fragmented, AI-driven mobile experiences.

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Welcome to the AI crisis in math
The Verge AI
General AIAug 20

Welcome to the AI crisis in math

The Verge's AI reporter Robert Hart discusses the existential crisis currently plaguing the mathematics community due to rapid advancements in AI capabilities. OpenAI recently published solutions to longstanding mathematical problems, causing a 'shell-shocked' reaction among lead mathematicians. This development highlights a paradox where AI systems remain poor at elementary arithmetic but are excelling at high-end abstract math. The article explores the implications for academic grants and university programs, questioning their value if frontier models can answer outstanding questions. It also raises concerns that the focus on math might be a marketing exercise by AI labs rather than a genuine contribution to the discipline. The piece captures the debate on what mathematics is and the future role of human mathematicians in an era of compressed AI progress.

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Tesla Robotaxis appear to go fully unsupervised in Austin ahead of Cybercab launch
The Verge AI
AppsAug 20

Tesla Robotaxis appear to go fully unsupervised in Austin ahead of Cybercab launch

Tesla's Robotaxi service in Austin has transitioned to fully unsupervised operations, with all 170 rides tracked over the past two weeks lacking human safety monitors. This significant shift involves 54 different vehicles and marks a rapid expansion from previous stagnation in the unsupervised fleet. Concurrently, driverless Tesla operations have increased in Dallas and Houston, with roughly 30 vehicles active in the last week. The move comes ahead of the anticipated launch of the Cybercab, a purpose-built robotaxi designed without steering wheels or pedals. Data from the crowdsourced Robotaxi Tracker confirms that previously supervised plates are now offering unsupervised rides, corroborating user reports on social media. This development is critical for Tesla's strategy to scale its autonomous vehicle program rapidly, as stated by Elon Musk during recent earnings calls.

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