🍿 OpenAI drops “The Truth About Elon Musk” page after new lawsuit
OpenAI has officially responded to Elon Musk’s latest espionage lawsuit and this time, it’s personal.
– About a week ago, Musk accused OpenAI of systematically poaching former xAI employees and pressuring them to reveal trade secrets, essentially claiming Sam Altman was trying to steal xAI’s breakthroughs.
– In response, OpenAI launched a full-on website section titled “The Truth About Elon Musk and OpenAI.” It compiles every lawsuit, official statement, and even past correspondence between Musk and OpenAI leadership, basically a public legal archive with receipts.
– The company’s statement calls the new case “a baseless trade secret theft lawsuit”, adding:
“OpenAI does not need anyone’s trade secrets to fulfill its mission, least of all those belonging to xAI.”
– They argue Musk’s lawsuits are part of a “legal harassment strategy,” claiming employees leave xAI because of Musk, not because OpenAI is stealing them. The post warns that his tactics “create an atmosphere of fear” that hurts the whole AI industry.
The Silicon Valley drama just went full HBO and no one’s sure who’s winning this season.
🤖 @techdaily
OpenAI has officially responded to Elon Musk’s latest espionage lawsuit and this time, it’s personal.
– About a week ago, Musk accused OpenAI of systematically poaching former xAI employees and pressuring them to reveal trade secrets, essentially claiming Sam Altman was trying to steal xAI’s breakthroughs.
– In response, OpenAI launched a full-on website section titled “The Truth About Elon Musk and OpenAI.” It compiles every lawsuit, official statement, and even past correspondence between Musk and OpenAI leadership, basically a public legal archive with receipts.
– The company’s statement calls the new case “a baseless trade secret theft lawsuit”, adding:
“OpenAI does not need anyone’s trade secrets to fulfill its mission, least of all those belonging to xAI.”
– They argue Musk’s lawsuits are part of a “legal harassment strategy,” claiming employees leave xAI because of Musk, not because OpenAI is stealing them. The post warns that his tactics “create an atmosphere of fear” that hurts the whole AI industry.
The Silicon Valley drama just went full HBO and no one’s sure who’s winning this season.
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Jeff Bezos plans to build a data center in space within the next 10+ years.
Unlimited solar energy available 24/7, space is an ideal location for data centers.
🤖 @techdaily
Unlimited solar energy available 24/7, space is an ideal location for data centers.
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Imagine computers powered by living human cells! In Switzerland, scientists like Dr. Fred Jordan and his team at FinalSpark are creating "wetware" tiny lab-grown mini-brains called organoids. These living cells can respond to keyboard commands, lighting up screens with their activity!
While they’ve made progress, keeping these organoids alive is tricky. They can last up to four months, but scientists are still figuring out how to nourish them properly. The idea of a computer “dying” is a little eerie, as they sometimes show bursts of activity before they pass away!
Though biocomputers won’t replace silicon chips, they could revolutionize disease research and reduce animal testing.
As Dr. Jordan puts it, "I feel like I'm in the book, writing the book." The future of biocomputing is just beginning, and it’s super exciting!
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Today’s OpenAI Dev Day announcements - quick rundown:
→ ChatGPT now supports apps inside conversations via a new Apps SDK—users and devs can invoke apps contextually mid-chat.
→ Launch partners include Booking.com, Canva, Coursera, Figma, Spotify, Zillow. More coming (DoorDash, Uber, etc.).
→ AgentKit released: a unified toolkit for designing, versioning, embedding, and evaluating AI agents.
→ New API/model updates: GPT-5 Pro, a real-time/voice model, and
enhancements to video model “Sora.”
→ Infrastructure move: OpenAI & AMD announce partnership to deploy 6 GW of AMD GPUs.
→ Ecosystem scale: ~800M weekly ChatGPT users, millions of devs, billions of tokens per minute usage cited.
🤖 @techdaily
→ ChatGPT now supports apps inside conversations via a new Apps SDK—users and devs can invoke apps contextually mid-chat.
→ Launch partners include Booking.com, Canva, Coursera, Figma, Spotify, Zillow. More coming (DoorDash, Uber, etc.).
→ AgentKit released: a unified toolkit for designing, versioning, embedding, and evaluating AI agents.
→ New API/model updates: GPT-5 Pro, a real-time/voice model, and
enhancements to video model “Sora.”
→ Infrastructure move: OpenAI & AMD announce partnership to deploy 6 GW of AMD GPUs.
→ Ecosystem scale: ~800M weekly ChatGPT users, millions of devs, billions of tokens per minute usage cited.
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A visual editor for designing conversation flows in Agents Platform. Instead of building all of your business logic in a single agent, Workflows enable you to handle more complex scenarios by routing to specialized Subagents.
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Here's what live captions look like on the Meta Ray-Ban Display glasses. This is huge for those who are deaf and hard of hearing.
🤖 @techdaily
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This impressive deal involves OpenAI signing up for 6 gigawatts of power from AMD, equivalent to the energy consumption of Denmark. The agreement will commence with the launch of next year’s MI450s. In return, OpenAI will receive up to 160 million AMD shares, valued at one cent each. This could potentially translate to a 10% stake in AMD if certain milestones are achieved.
The value of this deal is estimated to be tens of billions of dollars and has the potential to position AMD as a formidable rival to Nvidia’s dominant position in the semiconductor industry. Lisa Su, AMD’s CEO, describes the deal as a “win-win” situation, while Sam Altman, OpenAI’s CEO, views it as a matter of survival. Altman emphasises the increasing difficulty in obtaining sufficient computing power, particularly in light of OpenAI’s recent parallel mega-deals with Oracle ($300 billion) and Nvidia ($100 billion).
This partnership is not merely a collaboration; it is a manifestation of arms-race capitalism. The demand for AI models is insatiable, and CEOs are amassing power as if it were a precious commodity. The new empires are not being built on physical land, but rather on data centres.
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xAI unveils Imagine v0.9, a major jump in native video + audio generation.
It upgrades visual quality, motion realism, and camera control, and adds natural dialogue, expressive singing, and tighter audio-visual sync aimed at cinematic, edit-free outputs.
🤖 @techdaily
It upgrades visual quality, motion realism, and camera control, and adds natural dialogue, expressive singing, and tighter audio-visual sync aimed at cinematic, edit-free outputs.
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OpenAI President, Greg Brockman:
The world still underestimates the demand for AI compute. ChatGPT now has 800M weekly users, but a lack of compute blocks new features and products. Models are improving fast; OpenAI is rapidly adding capacity to avoid a "compute desert"
🤖 @techdaily
The world still underestimates the demand for AI compute. ChatGPT now has 800M weekly users, but a lack of compute blocks new features and products. Models are improving fast; OpenAI is rapidly adding capacity to avoid a "compute desert"
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"5 months, 10 hours per day, every single day of production."
And people still think humans can compete with robots.
🤖 @techdaily
And people still think humans can compete with robots.
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This woman just stood up and walked again,with a robotic exoskeleton from French company Wandercraft. For tens of millions who can’t walk, it’s a life-changing breakthrough.
Robots and humans become one, allowing humans to regain their freedom of movement.The exoskeleton learns from over 10,000 users’ movements every day:evolving, improving, becoming smarter.
Now, that same tech has evolved into Calvin-40, a headless humanoid robot working in Renault’s factory, handling tires and parts boxes, etc.
Born from humans, made for humans.
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New AI model from Samsung, 10,000x smaller than DeepSeek and Gemini 2.5 Pro just beat them on ARC-AGI 1 and 2
Samsung’s Tiny Recursive Model (TRM) is about 10,000x smaller than typical LLMs yet smarter because it thinks recursively instead of just predicting text. It first drafts an answer, then builds a hidden "scratchpad" for reasoning, repeatedly critiques and refines its logic (up to 16 times), and produces improved answers each cycle.
This approach shows that architecture and reasoning loops (not just size), can drive intelligence. It enables powerful, efficient models that run cheaply, validate neuro symbolic ideas, and open highest quality reasoning to far more applications.
Acceleration is everywhere
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Imagine this in a commercial laundry (hotel, hospital, or retirement home) or retail laundromat folding clothes for customers.
🤖 @techdaily
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