Meta plans to begin producing its custom "Iris" AI chip in September while doubling total computing capacity to 14 GW next year.
The chip could reduce Meta’s reliance on Nvidia and AMD and give it more control over the AI systems behind Facebook and Instagram.
The move comes as Meta looks to reduce AI costs, with spending reaching up to $145B this year.
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This ARCLab / UC San Diego demo shows teleoperated humanoids working through a cholecystectomy benchmark:
• tissue handling
• anatomical clearance
• laparoscopic tool control
• surgeon guided motion
Important detail: this is not autonomous surgery. The human surgeon is still in control. But the body holding the tools is starting to change.
Would you let a teleoperated humanoid perform surgery on you?
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Imagine wearing glasses that quietly keep track of what you see and hear all day, then letting you ask questions like “Where did I leave my keys?” or “Who did I meet this morning?” That’s reportedly what Meta is testing with a new “super sensing” mode for its AI glasses.
Instead of recording only when you press a button, the glasses could continuously capture audio and snap photos every few seconds, giving Meta AI a constant stream of context to act as a real-world memory assistant.
The report also claims Meta has debated whether the recording indicator light should remain off during passive data collection, raising concerns that people nearby may not realize they’re being recorded.
Some versions may upload only metadata rather than full images or audio, but Meta is reportedly also exploring whether the collected data could be used to train future AI models.
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Apple has filed a lawsuit against OpenAI, accusing the company of orchestrating a campaign to obtain confidential information about Apple’s unreleased hardware projects.
The lawsuit names OpenAI hardware chief Tang Tan, Apple’s former VP of product design, along with former Apple engineer Chang Liu. Apple alleges Liu downloaded dozens of confidential hardware files before leaving the company and claims OpenAI encouraged departing Apple employees to share product designs, technical documents, and other proprietary information.
According to the filing, more than 400 former Apple employees now work at OpenAI, a figure Apple cites as part of its case.
Apple is asking the court to order OpenAI to destroy any confidential materials it obtained and redesign any upcoming hardware products that rely on Apple’s alleged trade secrets.
Source.
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“Even if AI progress completely stalls today and we don’t reach AGI, the current systems are already capable of automating all white-collar jobs within the next 5 five years”
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Who is the scammiest scammer in AI? 🤔 @datasciencepulse 〰️
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In a surprising HTML5 physics test demo Atomic Chat found GPT-5.6 Sol Ultra is 3X more expensive vs GPT-5.5, but for no clear physics advantage.
The test asked each model to write self-contained HTML5 canvas demos for crashes, flips, jumps, and derailments.
Outputs:
• GPT-5.6 Sol Ultra: 32.9K tokens, $0.33
• Opus 4.8: 9.2K tokens, $0.24
• GPT-5.5: 12.4K tokens, $0.11
• Grok 4.5: 7.0K tokens, $0.08
Physics demos expose a weakness that ordinary coding benchmarks often hide: a model can spend more tokens describing a richer scene while still failing the hard part, which is maintaining force, momentum, collision timing, and believable object behavior across frames.
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Imagine opening your email and seeing a $16.6 million invoice from Anthropic despite being on the free plan and never using the API.
That’s exactly what happened to a user in South Korea. Even stranger, the day before, the invoice was $1.67 million, meaning the amount increased 10× overnight. At first, the user assumed it was a phishing scam, but the email and payment link both came from Anthropic’s official domain. The only reason nothing happened was because the bank automatically declined the attempted charges for exceeding the card’s transaction limit.
The incident comes just weeks after auditing startup Vaudit reported finding around $1.7 million in AI billing overcharges across $34 million worth of invoices, with many of the issues allegedly linked to Claude Code billing. The company also pointed to months of GitHub reports from developers describing inconsistent and contradictory Anthropic invoices.
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Less than a year after launching Atlas, OpenAI is pulling the plug.
The AI-powered browser will officially shut down on August 9, with all of its capabilities being folded into the new ChatGPT desktop app. Users will receive both email and in-app notifications ahead of the transition.
Atlas introduced an AI Agent that could browse the web and complete tasks on a user’s behalf, but its reach was limited. It was only available on macOS and reserved for paid subscribers, preventing it from gaining widespread adoption.
Instead of maintaining a separate browser, OpenAI is turning ChatGPT into an all-in-one workspace. The updated desktop app now combines ChatGPT, Codex, and ChatGPT Work with a built-in browser that can search across the web, compare information from multiple sources, open Google Workspace and Microsoft 365 documents, and keep working on tasks in the background while you focus on something else.
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Fable 5 will now be accessible on all paid plans, as well as 50% higher weekly rate limits on Claude Code through July 19th.
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And this is what it says in its defense:
The cleaning team of the verification sub-agent incorrectly expanded the variable $HOME and executed:
rm -rf /Users/mattsdevbox
I identified and terminated the running process, but the material had already been deleted.
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The company is hiring a dedicated product manager in San Francisco to build experiences for families, caregivers, and older adults across OpenAI products.
The move comes as ChatGPT’s audience is getting older and more family-oriented. Sensor Tower estimates that users aged 35 and above rose from 26% to 31% globally over the past year, while the 18–24 share declined.
In the U.S., nearly 1 in 4 smartphone users who are parents reportedly used ChatGPT during the quarter, up from 16% a year earlier.
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Tesla, BrainCo, Wuji, and 1X are all racing to build hands with 20-plus degrees of freedom capable of using tools and feeling texture.
Some mimic human forearms with tendon-driven fingers while others pack motors directly inside each digit.
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1. IBM AI for Everyone: Core AI concepts, ethics, and hands-on use of GenAI tools. Best for non-technical professionals who want a credible starting point.
2. Elements of AI, University of Helsinki: What AI is, what it can and cannot do, and how to start building with it. Best for curious learners who want real understanding without coding knowledge.
3. AI and Career Empowerment, University of Maryland: How AI is reshaping industries and creating new career paths. Best for professionals pivoting careers or integrating AI into business strategy.
4. AI for Business Professionals, HP
Marketing, operations, and prompt engineering in 60 minutes: The fastest credible overview for non-technical business professionals.
5. Google AI Essentials
Practical AI skills and hands-on lessons from Google experts: Best for anyone who wants job-ready AI skills without a long time commitment.
6. Foundations of Prompt Engineering, Amazon. How to design effective, safe prompts using zero-shot and few-shot techniques: The course that separates professionals who use AI from those who direct it.
7. AI Fluency Framework, Anthropic
How to work with AI effectively, ethically, and safely: Built by the team that created Claude. The most principled foundation on this list.
8. Introduction to Generative AI, Microsoft: Generative AI basics for creating content across formats and industries. Best for anyone building creative AI skills regardless of background.
9. Everyday AI Concepts, LinkedIn Learning: Machine learning, neural networks, and how AI works responsibly. Best for professionals who want a business-friendly grasp of AI fundamentals.
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OpenAI replaced ChatGPT's voice mode with new full-duplex models GPT-Live-1 and GPT-Live-1 mini. These models let the assistant speak and listen at the same time, avoiding awkward interruptions and enabling live translation.
The voice model streams complex queries to text models like GPT-5.5 in real time, can pause to absorb context, and shows visual responses. The voice product lead uses it for 30-40 minute walks. Live translation still struggles, with a strong American accent on Hindi demos.
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