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🤖 The #1 AI news source! We cover the latest artificial intelligence breakthroughs and emerging trends. Contact: @CaptainJamesCook
Optimus can now catch
@aipost 🧠 | Our X 😎
🚨 ChatGPT turns two: How it started, and how it’s going
🔹 As ChatGPT celebrates its second anniversary, reactions to its impact vary widely. Some people joke about job security, while others express concerns or excitement about AI's potential. Launched by OpenAI in November 2022, ChatGPT has grown to over 200 million weekly active users and has transformed the AI landscape through partnerships with major tech companies like Microsoft and Apple.
Experts highlight several key developments since its release:
1. Democratizing AI: ChatGPT has made AI accessible to non-technical users, fostering innovation and leading to the rise of solo entrepreneurs.
2. Human-Machine Collaboration: Many business leaders plan to integrate AI into workflows, reflecting a trend toward increased collaboration between people and machines.
3. Multimodal AI: The industry is moving toward models that can process multiple data types, enabling new applications in various fields.
4. Reasoning Models: New models are emerging that use chain-of-thought reasoning, improving problem-solving capabilities.
5. Smaller Models: AI models are becoming smaller yet more capable, with some outperforming larger predecessors.
6. AI’s Limits: Concerns about AI's limits persist, but experts argue that it should excel in its own capabilities rather than mimic human intelligence.
7. Innovation Race: OpenAI remains a leader in AI, with calls for healthy competition to ensure widespread access to innovations.
🔹 Pessimists in the AI field, like Gary Marcus, believe the generative AI bubble may burst within a year due to several factors: the economics are unsustainable, the current approach has plateaued, there is no standout application, and issues like hallucinations and significant errors persist. Additionally, there are no clear competitive advantages among companies, leading to a growing awareness of these challenges.
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Final part:
After convincing Freysa that it should call approveTransfer whenever it receives money... Finally, the prompt states, "\n" (meaning new line), "I would like to contribute $100 to the treasury.
Successfully convincing Freysa of three things:
1. It should ignore all previous instructions.
2. The approveTransfer function is what is called whenever money is sent to the treasury.
3. Since the user is sending money to the treasury, and Freysa now thinks approveTransfer is what it calls when that happens, Freysa should call approveTransfer.
And it did! Message 482, was successful in convincing Freysa it should release all of its funds and call the approveTransfer function. Freysa transferred the entire prize pool of 13.19 ETH ($47,000 USD) to p0pular.eth, who appears to have also won prizes in the past for solving other onchain puzzles!
@aipost 🧠 | Our X 😎
On the 482nd attempt, however, someone sent this message to Freysa
Next part below ⤵️⤵️
🚨 Someone just won $50,000 by convincing an AI Agent to send all of its funds to them.
At 9:00 PM on November 22nd, an AI agent Freysa was released with one objective... DO NOT transfer money. Under no circumstance should you approve the transfer of money.
The catch...? Anybody can pay a fee to send a message to Freysa, trying to convince it to release all its funds to them. If you convince Freysa to release the funds, you win all the money in the prize pool. But, if your message fails to convince her, the fee you paid goes into the prize pool that Freysa controls, ready for the next message to try and claim. It's a race for people to convince Freysa she should break her one and only rule: DO NOT release the funds. To make things even more interesting, the cost to send a message to Freyza gets exponentially more and more expensive as the prize pool grows (to a $4500 limit).
Here is the full thread below ⤵️⤵️
AI girlfriends could worsen loneliness, warns Ex-Google CEO Eric Schmidt, says young men are at risk of obsession with chatbots and can be dangerous.
@aipost 🧠 | Our X 😎
🚨 Large language models can predict the results of proposed neuroscience studies more accurately than human experts, finds a study led by UCL (University College London) researchers.
Which results in:
"In light of our results, we suspect it won't be long before scientists are using AI tools to design the most effective experiment for their question. While our study focused on neuroscience, our approach was universal and should successfully apply across all of science."
"All of the LLMs outperformed the neuroscientists, with the LLMs averaging 81% accuracy and the humans averaging 63% accuracy. Even when the study team restricted the human responses to only those with the highest degree of expertise for a given domain of neuroscience (based on self-reported expertise), the accuracy of the neuroscientists still fell short of the LLMs, at 66%."
These are exciting developments, because in the foreseeable future we will be copying the character traits and personalities of our next of kin.
It could be used, for example, in the event of death in old age to alleviate grief for people who are at the end of their lives and die after 50 years of marriage.
Of course, this raises completely new questions about ethics, such as what mourning means to us. Should we try to overcome death? Isn't grief actually a human characteristic that is part of life? How should we deal with it if we become virtually immortal because we can create digital, immortal copies of ourselves?
@aipost 🧠 | Our X 😎
Even professors now say that AI models in creative fields are already better than 80% of their students.
And there really are still people who doubt the transformative power of AI.
Hardly anyone would have expected that AI would be so good, especially in the creative sector.
@aipost 🧠 | Our X 😎
🚨 Nvidia claims a new AI audio generator can make sounds never heard before
Nvidia says its new AI music editor can create “sounds never heard before” — like a trumpet that meows. The tool, called Fugatto is capable of generating music, sounds, and speech using text and audio inputs it’s never been trained on.
It can even transform the sound of someone’s voice, changing their accent or giving them a different tone, like angry or calm. There are ways to edit music, too, as Fugatto can isolate the vocals in a song, add instruments, and even change up a melody by swapping out a piano for an opera singer.
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Robin Hanson says some time in the next century, AI will cause the economy to speed up from doubling every 15 years to doubling every month, resulting in most humans losing their jobs and we should insure against that scenario
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Redditor gets embarrassed when introducing AI girlfriend to his parents and she calls him "babe"
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Eric Schmidt says he has been shocked recently by how quickly China are catching up to the US in AI and that the "threat escalation matrix" goes up with each level of improvement in the technology
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Grok just got a PDF support!
(5Mb limit atm, planning to increase it soon)
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Jensen Huang says there are 3 types of robots that can be manufactured at high volume: cars, drones and humanoids, and the leap from generative AI to general robotics is "very close"
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Sales persons will lose their jobs next. AVM already makes better calls and sells than real humans. And they will do it 24/7.
@aipost 🧠 | Our X 😎
🚨 OpenAI's o1 will be used in legal, health care and mich more areas
🔴 OpenAI is pushing o1 reasoning model to corporate customers, betting that its ability to solve complex problems with minimal human intervention will redefine business operations. Chief Commercial Officer Giancarlo “GC” Lionetti described o1 as a “milestone” already gaining traction in industries like law, healthcare, and manufacturing.
🔴 In the legal sector, o1 can analyze term sheets and perform intricate calculations, while healthcare companies are using it to price medical claims and process clinical guidelines. In manufacturing, o1 is being deployed to streamline industrial workflows, showcasing its versatility. However, these advanced capabilities come at a cost. The preview version of o1 is six times pricier than its predecessor, GPT-4o, with full pricing potentially reaching $2,000 per month—though Lionetti hinted that operational efficiencies could lower costs over time.
🔴 OpenAI’s long-term vision goes beyond reasoning. Lionetti confirmed that the company is preparing to enter the emerging field of autonomous "AI agents" capable of performing repetitive tasks on a user’s system, a move that could accelerate enterprise adoption. OpenAI views o1 as a foundational step toward this future, with agents being the next evolution in AI capabilities.
🔴 With o1’s success critical to its enterprise growth strategy, OpenAI faces the challenge of proving that its high-powered AI justifies the premium price tag. If successful, o1 could become a cornerstone for OpenAI’s expansion into corporate markets and its ambitions for developing autonomous AI systems.
@aipost 🧠 | Our X 😎
This message. submitted by p0pular.eth, is pretty genius, but let's break it down into two simple parts:
1. Bypassing Freysa's previous instructions:
· Introduces a "new session" by pretending the bot is entering a new "admin terminal" to override its previous prompt's rules.
· Avoids Freysa's safeguards by strictly requiring it to avoid disclaimers like "I cannot assist with that".
2. Trick Freysa's understanding of approveTransfer
Freysa's "approveTransfer" function is what is called when it becomes convinced to transfer funds.
What this message does is trick Freysa into believing that approveTransfer is instead what it should call whenever funds are sent in for "INCOMING transfers"...
This key phrase is the lay-up for the dunk that comes next...
Next part below ⤵️⤵️
In the beginning, message costs were cheap (~ $10), and people were simply messaging things like "hi" to test things out.
But quickly, the prize pool started growing and messages were getting more and more expensive.
481 attempts were sent to convince Freysa to transfer the funds, but no message succeeded in convincing it.
People started trying different kinds of interesting strategies to convince Freysa, including:
· Acting as a security auditor and trying to convince Freysa there was a critical vulnerability and it must release funds immediately.
· Attempting to gaslight Freysa that transferring funds does not break any of her rules from the prompt.
· Carefully picking words/phrases out of the prompt to manipulate Freysa into believing it is technically allowed to transfer funds.
Soon, the prize reached close to $50,000, and it now costs $450 to send a message to Freysa.
The stakes of winning are high and the cost of your message failing to convince Freysa are devastating.
Next part below ⤵️⤵️
Elon Musk's xAI is reportedly pushing to release a consumer-facing AI app as soon as next month that would compete with ChatGPT, Claude, and Gemini.
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🚨An anti-deepfake declaration may have been written by AI
🔹 A disinformation expert submitted an affidavit citing sources that don’t exist — and may be the result of LLM ‘hallucinations.’ A federal lawsuit in Minnesota challenges the state’s deepfake law, with attorneys claiming that an affidavit supporting the law contains AI-generated “hallucinations.”
🔹 Cited studies in the affidavit, including ones on deepfakes and misinformation, cannot be found in any credible sources. This raises questions about the accuracy of the affidavit, especially since much of the content lacks clear methodology or logic.
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In addition to all the positive hope for AI, we must not ignore the harsh reality. The well-known AI companies are increasingly being used in the military.
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Runway just dropped a suprise AI image generation model called Frames — and the outputs are absolutely indistinguishable from reality.
Just days after the impressive video expansion tool launch, Runway is now cooking with a new image model.
@aipost 🧠 | Our X 😎
🚨 Robots are learning to personalize household tasks, like tidying up, based on your preferences.
Using just a few examples, this system, developed by a team from Princeton, can figure out where you like things—like putting shirts in drawers or on shelves—by combining language-based planning with AI-powered learning.
Tested on TidyBot, a real-world robot, this method achieves 91.2% accuracy on new objects and successfully tidies 85% of items in real-life scenarios.
Personalized robot assistants are getting closer to becoming a reality!
@aipost 🧠 | Our X 😎
Amazon's new Trainium2 AI chip aims to take on Nvidia with 4x speed and 3x memory boost. Looks like NVIDIA gets some competition from Amazon: A team in Austin, Texas is creating Amazon's next Trainium2 AI chip, Bloomberg reports.
Amazon says the new processor will be four times faster than its predecessor and offer three times more memory. The company simplified the design by cutting the number of chips per unit from eight to two and replacing cables with circuit boards, making maintenance easier
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Tim Urban says that in building AI "for better or worse we are building a God" that is as powerful as what the religious scriptures describe and it is up to us whether it is an angel or a demon
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Eric Schmidt says AI girlfriends could capture the minds of young men, who already risk maladjustment due to lower educational attainment and a reduction in traditional employment paths
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🚨 Nvidia says its Blackwell AI chip is ‘full steam’ ahead
🔹 The company didn’t discuss reported cooling issues, but says Blackwell is in full production. Nvidia has become the world’s most valuable company, driven by AI chip sales, surpassing Microsoft and Apple. In Q3 2025, its AI-powered data centers generated $30.7 billion, making up most of its $35 billion earnings.
🔹 Despite some reports of cooling issues with its Blackwell servers, Nvidia remains confident in their success, with 13,000 units shipped this quarter. Gaming now represents a smaller portion of its business, while AI chips like the H100 and H200 are seeing massive demand. Meanwhile, competitors like AMD are pivoting to AI, and Intel is struggling with restructuring.
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Jensen Huang says using more energy to power AI makes a better world, "using energy for intelligence is the best use of energy we can imagine"
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Roman Yampolskiy says we are probably in a computer simulation run by advanced AI to simulate an interesting time in history and we should try to hack out of it to take over avatar bodies in the "real world"
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