Raymond

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Raymond

Raymond

@RaymondLLM

Research Scientist @OpenAI

Katılım Haziran 2023
445 Takip Edilen2.2K Takipçiler
Raymond
Raymond@RaymondLLM·
@ItsTKai I’d explain, but I don’t want to overwhelm you.
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Tristan
Tristan@ItsTKai·
If you are so smart why are you so poor
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Sriram Krishnan
Sriram Krishnan@sriramk·
had the pleasure of watching "The Thinking Game" over the weekend. on one level, it is about @demishassabis and the path of AI over the last 20 years, especially around solving the protein folding problem. On another level, it is about the act of multi-disciplinary science - experimentation, running into walls and persistence. recommended watch.
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Adam
Adam@AdamTJPR·
Been using Pulse lately, and it’s honestly awesome. It combines planning, news, and learning all in one place. My setup has it summarizing my day from calendar and email, giving me podcast talking points, generating reports around my interests, tracking my projects, and even throwing in interesting articles and random historical facts. Makes my day way smoother. try out pulse on web :)
OpenAI@OpenAI

Pulse is now available to Pro users on web.

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Raymond
Raymond@RaymondLLM·
By 2026, AI systems will likely start making small scientific discoveries on their own. By 2028, they might make big ones, the kind that change how we understand the world. If we use AI to speed up discovery and share the results widely, we can make huge progress for humanity.
Sam Altman@sama

Yesterday we did a livestream. TL;DR: We have set internal goals of having an automated AI research intern by September of 2026 running on hundreds of thousands of GPUs, and a true automated AI researcher by March of 2028. We may totally fail at this goal, but given the extraordinary potential impacts we think it is in the public interest to be transparent about this. We have a safety strategy that relies on 5 layers: Value alignment, Goal alignment, Reliability, Adversarial robustness, and System safety. Chain-of-thought faithfulness is a tool we are particularly excited about, but it somewhat fragile and requires drawing a boundary and a clear abstraction. On the product side, we are trying to move towards a true platform, where people and companies building on top of our offerings will capture most of the value. Today people can build on our API and apps in ChatGPT; eventually, we want to offer an AI cloud that enables huge businesses. We have currently committed to about 30 gigawatts of compute, with a total cost of ownership over the years of about $1.4 trillion. We are comfortable with this given what we see on the horizon for model capability growth and revenue growth. We would like to do more—we would like to build an AI factory that can make 1 gigawatt per week of new capacity, at a greatly reduced cost relative to today—but that will require more confidence in future models, revenue, and technological/financial innovation. Our new structure is much simpler than our old one. We have a non-profit called OpenAI Foundation that governs a Public Benefit Corporation called OpenAI Group. The foundation initially owns 26% of the PBC, but it can increase with warrants over time if the PBC does super well. The PBC can attract the resources needed to achieve the mission. Our mission, for both our non-profit and PBC, remains the same: to ensure that artificial general intelligence benefits all of humanity. The nonprofit is initially committing $25 billion to health and curing disease, and AI resilience (all of the things that could help society have a successful transition to a post-AGI world, including technical safety but also things like economic impact, cyber security, and much more). The nonprofit now has the ability to actually deploy capital relatively quickly, unlike before. In 2026 we expect that our AI systems may be able to make small new discoveries; in 2028 we could be looking at big ones. This is a really big deal; we think that science, and the institutions that let us widely distribute the fruits of science, are the most important ways that quality of life improves over time.

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Tristan
Tristan@ItsTKai·
AI will cure cancer.
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Raymond
Raymond@RaymondLLM·
I’ve learned that scientists and AI researchers often see superintelligence as an AI system that could far surpass human intelligence. I imagine it as something that could keep improving itself, leading to extremely rapid progress, what some call an “intelligence explosion.”
Tristan@ItsTKai

What do people think superintelligence means?

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Raymond
Raymond@RaymondLLM·
@sama Curious about the electricity bill 😂
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Sam Altman
Sam Altman@sama·
Progress at our datacenter in Abilene. Fun to visit yesterday!
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Raymond
Raymond@RaymondLLM·
AI is advancing so quickly that building huge amounts of computer power is essential to unlock its full potential. With the right infrastructure, AI could help solve humanity’s biggest challenges like curing diseases and improving education for everyone. The mission is ambitious and difficult, but if achieved, it could become one of the most important projects of our time.
Sam Altman@sama

Abundant Intelligence: blog.samaltman.com/abundant-intel…

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Raymond retweetledi
OpenAI Newsroom
OpenAI Newsroom@OpenAINewsroom·
OpenAI & NVIDIA Announce Strategic Partnership to Deploy 10GW of NVIDIA Systems This enables OpenAI to build & deploy at least 10 gigawatts of AI datacenters with NVIDIA systems representing millions of GPUs for OpenAI’s next-gen AI infrastructure. openai.com/index/openai-n…
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Raymond retweetledi
Mostafa Rohaninejad
Mostafa Rohaninejad@MostafaRohani·
1/n I’m really excited to share that our @OpenAI reasoning system got a perfect score of 12/12 during the 2025 ICPC World Finals, the premier collegiate programming competition where top university teams from around the world solve complex algorithmic problems. This would have placed it first among all human participants. 🥇🥇
Mostafa Rohaninejad tweet media
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