Explainer: What's R1 and Everything Else?
Recent AI developments include the emergence of reasoning models R1, o1, and o3, with R1 being a cost-effective alternative. Predictions for 2025 suggest accelerated advancements and geopolitical implications in AI.
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Recent developments in AI have led to the emergence of several reasoning models, notably R1, o1, and o3, with R1 being an open-source alternative that matches o1's performance at a significantly lower cost. The timeline of releases includes the launch of o1 in December 2024, followed by o3 and R1 in early 2025. Reasoning models differ from AI agents, as they focus on generating responses rather than interacting autonomously with the environment. R1's importance lies in its affordability and validation of existing models, suggesting a trend towards cheaper and more efficient AI solutions. The article discusses the evolution of scaling laws in AI, indicating a shift from pretraining to inference time scaling, where longer reasoning times yield better results. Additionally, the concept of model distillation is explored, highlighting how R1 utilizes previous checkpoints for training. Predictions for 2025 suggest continued acceleration in AI development, with geopolitical implications as nations vie for AI supremacy. The term "distealing" is introduced to describe unauthorized model distillation, reflecting the competitive landscape between the USA and China. Overall, R1 clarifies the current AI landscape, indicating a rapid trajectory of advancements.
- R1 is an open-source reasoning model that offers similar performance to o1 at a lower cost.
- The distinction between reasoning models and AI agents is emphasized, with reasoning being crucial for task planning.
- New scaling laws are emerging, focusing on inference time rather than pretraining.
- The concept of "distealing" highlights geopolitical tensions in AI development.
- Predictions indicate that AI advancements will continue to accelerate in 2025.
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- There is confusion about the significance of the ARC-AGI benchmark and its implications for AI intelligence.
- Some commenters question the substantiation of claims regarding the exponential growth of AI capabilities.
- Concerns are raised about the hype surrounding AI advancements and the potential for misunderstanding among the public.
- Discussion on the relevance of current AI benchmarks to specific use cases, such as writing and creativity.
- Geopolitical tensions related to AI development, particularly between the US and China, are highlighted.
16 commentsIt seems like the AI space is moving impossibly fast, and its just ridiculously hard to keep up unless 1) you work in this space, 2) are very comfortable with the technology behind it, so you can jump in at any point and understand it.
R1 or the R1 finetunes? Not the same thing...
HF is busy recreating R1 itself but that seems to be a pretty big endevour not a $30 thing
Most important, R1 shut down some very complex ideas (like DPO & MCTS) and showed that the path forward is simple, basic RL.
Does this guy know people were writing verbatim the same thing in like... 2021? Still always incredible to me the same repeated hype over and over rise to the surface. Oh well... old man gonna old man
I'm not asking for the proof. Just the source, even a self-claimed statement. I've read the R1's paper and it doesn't say the number of $5.6M. Is it somewhere in DeepSeek's press release?
With distillation, can a model be made that strips out most of the math and coding stuff?
Nobody really saw the LLM leap coming
Nobody really saw R1 coming
We don’t know what’s coming
> ARC-AGI is a benchmark that’s designed to be simple for humans but excruciatingly difficult for AI. In other words, when AI crushes this benchmark, it’s able to do what humans do.
That's a misunderstanding of what ARC-AGI means. Here's what ARC-AGI creator François Chollet has to say: https://bsky.app/profile/fchollet.bsky.social/post/3les3izgd...
> I don't think people really appreciate how simple ARC-AGI-1 was, and what solving it really means.
> It was designed as the simplest, most basic assessment of fluid intelligence possible. Failure to pass signifies a near-total inability to adapt or problem-solve in unfamiliar situations.
> Passing it means your system exhibits non-zero fluid intelligence -- you're finally looking at something that isn't pure memorized skill. But it says rather little about how intelligent your system is, or how close to human intelligence it is.
I want to say that I have all the respect and admiration for these Chinese people, their ingenuity and their way of doing innovation even if they achieve this through technological theft and circumventing embargoes imposed by US (we all know how GPUs find their way into their hands).
We are living a time with a multi-faceted war between the US, China, EU, Russia and others. One of the battlegrounds is AI supremacy. This war (as any war) isn’t about ethics; it’s about survival, and anything goes.
Finally, as someone from Europe, I confess that here is well known that the "US innovates while EU regulates" and that's a shame IMO. I have the impression that EU is doing everything possible to keep us, European citizens, behind, just mere spectators in this tech war. We are already irrelevant, niche players.
Long version: It's marketing efforts stirring up hype around incremental software updates. If this was software being patched in 2005 we'd call it "ChatGPT V1.115"
>Patch notes: >Added bells. >Added whistles.
Related
AI can learn to think before it speaks
Recent advancements in AI, particularly OpenAI's o1 model, enhance reasoning capabilities but raise concerns about deception and safety. Further development and regulatory measures are essential for responsible AI evolution.
The GPT Era Is Already Ending – Something Has Shifted at OpenAI
OpenAI launched its generative AI model, o1, enhancing reasoning capabilities. Critics question its understanding, while the industry faces slow advancements and seeks innovative approaches amid ongoing debates about AI intelligence.
The GPT era is already ending
OpenAI launched its generative AI model, o1, claiming it advances reasoning capabilities amid stagnation in AI. Critics question AI's understanding, highlighting challenges in enhancing technologies and the need for evolution.
OpenAI Announces New O3 Model
OpenAI has launched its o3 model family, including o3-mini, which enhances reasoning capabilities and approaches AGI. Safety testing is underway, with adjustable reasoning times for improved performance.
O1: A Technical Primer – LessWrong
OpenAI's o1 model enhances decision-making using reinforcement learning and a chain of thought approach, demonstrating error correction and task simplification while requiring fewer human-labeled samples for training.