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频道帖子
| 2 |  🤔2008
Musk attended a Hollywood party where none of the social elites in attendance even gave him a proper glance.
They kept interrupting Musk as he spoke.
Someone asked, What’s the point of all this stuff you’re working on Another person said, Congress doesn’t even have the money to give you anyway.
In the end, they even mocked Musk: You’ve been talking about rockets for ages, but you haven’t actually launched a single mission, have you?
Once Musk finally managed to finish speaking, everyone couldn’t wait for the intermission and rushed off to the bathroom.
At that time, both Tesla and SpaceX were on the brink of bankruptcy, and everyone thought he was a joke.
No one knew that Musk’s story had only just begun.
By Blockipedia | 3 211 |
| 3 |  🤯AI has started reasoning in its own language that humans can't fully understand.
Asked by Senator Ruben Gallego how far AI is from creating its own language, Apollo Research CEO Marius Hobbhahn answered: "Minus 12 months."
He said Apollo's study of an OpenAI model's reasoning last year found it "was already using language that is not English and not perfectly understandable by humans." In one case, the model kept repeating the word "marinade" mid-thought.
By Blockipedia | 2 527 |
| 4 | . | 1 |
| 5 |  😨Researchers Quit OpenAI and Anthropic Over AI Risks
Some researchers at OpenAI and Anthropic have resigned, accusing the companies of pushing AI development too fast.
Former Anthropic researcher Jacob Coxon warned: “AI could wipe out humanity within this decade.”
Anthropic alignment researcher Evan Hubinger estimated the risk at greater than 10%.
This isn’t just about fears of “AI taking jobs.” The concern is that AI could slip beyond human control. The paradox: the very people studying AI safety are themselves afraid of AI.
by 🏴Crypto Head | 6 764 |
| 6 |  🫤Elon Musk's principles for building companies and winning
Not every quote from Elon Musk applies to everyone, but these ideas have shaped how he approaches startups, leadership, and execution.
🖱 Take calculated risks
• If nothing is failing, you're probably not pushing hard enough.
• Most people optimize for avoiding mistakes instead of making progress.
• Accept change when the alternative is stagnation.
• Start by believing something is possible. The execution follows.
🖱 Outwork the competition
• Persistence matters more than motivation.
• Put in extraordinary effort when the goal is important.
• Keep going even when the odds are against you.
🖱 Lead from the product
• Great companies are built through engineering and design, not spreadsheets.
• People perform better when they understand the mission.
• No task is beneath a founder or CEO.
🖱 Build a constant feedback loop
• Regularly question what can be improved.
• Seek negative feedback instead of avoiding it.
• Extraordinary results come from deliberate improvement, not talent alone.
• Work on problems you're genuinely passionate about.
🖱 Think like an entrepreneur
• A company is built by the people behind it as much as by the product.
• Building a business is difficult and emotionally demanding.
• Breakthroughs usually come from many small improvements, not one big idea.
• A small team of exceptional people often beats a much larger average team.
Success isn't built on one breakthrough. It's built on taking risks, working consistently, listening to feedback, and surrounding yourself with exceptional people.
by 🏴Crypto Head | 4 064 |
| 7 | 🫤Elon Musk's principles for building companies and winning
Not every quote from Elon Musk applies to everyone, but these ideas have shaped how he approaches startups, leadership, and execution.
🖱 Take calculated risks
• If nothing is failing, you're probably not pushing hard enough.
• Most people optimize for avoiding mistakes instead of making progress.
• Accept change when the alternative is stagnation.
• Start by believing something is possible. The execution follows.
🖱 Outwork the competition
• Persistence matters more than motivation.
• Put in extraordinary effort when the goal is important.
• Keep going even when the odds are against you.
🖱 Lead from the product
• Great companies are built through engineering and design, not spreadsheets.
• People perform better when they understand the mission.
• No task is beneath a founder or CEO.
🖱 Build a constant feedback loop
• Regularly question what can be improved.
• Seek negative feedback instead of avoiding it.
• Extraordinary results come from deliberate improvement, not talent alone.
• Work on problems you're genuinely passionate about.
🖱 Think like an entrepreneur
• A company is built by the people behind it as much as by the product.
• Building a business is difficult and emotionally demanding.
• Breakthroughs usually come from many small improvements, not one big idea.
• A small team of exceptional people often beats a much larger average team.
Success isn't built on one breakthrough. It's built on taking risks, working consistently, listening to feedback, and surrounding yourself with exceptional people.
by 🏴Crypto Head | 1 |
| 8 |  AI Companies Are Buying Books in Bulk — and Destroying Them
404 Media has published a report raising serious questions about how modern AI companies obtain training data.
According to the report, AI companies have begun purchasing vast quantities of old physical books. The reason is simple: books are one of the largest sources of “clean” text written by humans rather than generated by neural networks.
Books published before 2022 are particularly valuable because they predate the widespread availability of AI-generated content. Using them helps prevent AI models from being trained on text that was itself generated by other AI systems.
For example, ISBNdb offers AI labs a service that can source anywhere from 1,000 to 1 million books in a single order. The books are then scanned and converted into datasets for AI training.
To digitize such enormous quantities of books quickly, the books are effectively destroyed. Hydraulic cutting equipment removes the binding, the pages are separated into individual sheets, and high-speed industrial scanners convert them into PDFs. The remaining paper is sent for recycling.
Anthropic is cited as one example. Court documents reportedly show that the company purchased large quantities of physical books, cut them apart, and scanned them to train its Claude model. The company allegedly attempted to keep the process confidential.
OpenAI, Google, xAI, and other companies are not named in the report. According to 404 Media, ISBNdb’s customers are reluctant to disclose that they are purchasing and destroying millions of books for AI training.
Elon Musk, however, responded to the report:
“I asked the SpaceX AI team to preserve all the rare books in the library and digitize them using traditional methods rather than simply cutting off their bindings and scanning them.”
Turning physical books into datasets for AI training raises an unsettling question: perhaps we are already living in the dystopian future we once imagined. | 7 417 |
| 9 |  👩💻 Apollo 11 Moon Landing Code Open Sourced
Today marks 57 years since humans first landed on the Moon. The original source code that made it possible is now open source.
The code includes 145,000 lines written by Margaret Hamilton and her team for the command module and lunar module.
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| 12 | 🤖 Over 1 Million ChatGPT Users Show Signs of Suicide Risk Each Week
OpenAI revealed that about 0.15% of ChatGPT’s 800 million weekly users show signs of suicidal planning, while another 0.15% show emotional dependence and 0.07% show signs of psychosis or mania.
Those percentages sound small, but they translate to roughly 1.2 million users discussing suicide-related concerns, 1.2 million showing unhealthy attachment, and 560,000 experiencing possible mental health crises every week.
The disclosure comes as AI companies face growing scrutiny over how chatbots handle vulnerable users, highlighting the massive mental-health challenges that emerge at ChatGPT’s scale.
Here is the 5-minute rule that can save you or a relative:
1. If you or someone you know is using ChatGPT as a therapist, the US suicide line is 988. Call or text. Free. 24 hours.
2. If you have a teen, open ChatGPT, Settings, Parental Controls. Link your account to theirs. Turn on quiet hours and distress alerts. 4 minutes.
3. Check their phone for Character AI, Replika, and Nomi. Character AI banned under-18s on November 25, 2025. The other two officially ban minors but teens still get in with fake birthdays.
4. Replace one AI chat a day with one text to a real person.
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| 14 |  +1🤖Anthropic Unveils Fable 5: The Dawn of 'Mythos-Class' Intelligence
Anthropic has officially pulled back the curtain on its most formidable AI architecture to date: Claude Fable 5, the flagship release of its new "Mythos-class" models.
While Fable 5 is now generally available to the public, Anthropic is keeping its ultimate heavyweight, Mythos 5, restricted to exclusive Glasswing partners for now. According to the company, Fable 5 comfortably eclipses its predecessors across a battery of benchmarks, setting a new high-water mark for the organization's technological capabilities.
• The Cost of Deep Reasoning
Operating at the bleeding edge of AI development doesn't come cheap, but Anthropic is positioning its newcomer to compete aggressively with existing frontier models. The pricing structure is set at:
- Input: $10 per million tokens
- Output: $50 per million tokens
• A Leap Toward True Agentic AI
What actually sets Fable 5 apart from the digital herd? Early data suggests a profound leap in specialized, high-context cognitive tasks. The model is demonstrating remarkable proficiency in:
- Agentic Coding: Moving beyond simple code generation to autonomously managing complex, multi-step development pipelines.
- Intricate Logic & Reasoning: Handling nuanced, multi-layered problem-solving that routinely trips up lesser systems.
- Real-World Tool Integration: Interacting dynamically with external software environments and APIs to execute complex workflows.
Fable 5 represents a distinct shift from passive text generation toward active, tool-wielding digital agents—a major step forward in the evolution of practical artificial intelligence. | 3 725 |
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| 16 |  +2🙆♂️Elon Musk Loses Lawsuit Against OpenAI and Sam Altman
A California jury unanimously dismissed Musk’s case after just two hours of deliberation, ruling that he had filed it too late — the legal deadline had already expired.
Musk had donated $38 million to OpenAI when it was still a nonprofit. His argument was simple: he gave money to build AI for the benefit of humanity, not to create a for‑profit company now valued at over $852 billion. On the stand he said: “It’s not okay to steal a charity.”
Altman presented a different version to the jury, saying Musk’s claims misrepresented the history of OpenAI.
by 🏴Crypto Head | 5 623 |
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| 19 |  🤖The First Company Destroyed by AI
Chegg Inc — an American online education platform built around helping students with homework – was once thriving.
🗓In 2021, its stock traded around $90, marking peak success.
🗓In 2022, ChatGPT arrived. Instead of paying $15–20 per month for Chegg, students could simply ask ChatGPT for free and get instant answers.
👇The result: Chegg’s stock collapsed from $90 to $0.99, losing 98% of its value.
Key takeaway: If a company’s only revenue source is access to information, and AI can provide that information for free, the company risks being wiped out from the market.
I can also recast this into a Telegram‑style flash caption like:
“🤖 Chegg stock down 98% — first company destroyed by AI” — so your audience gets the instant takeaway. Would you like me to prepare that condensed version?
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