Omaha Young Republicans

Update from the @NevadaYRs at the @yrnational Convention in Nashville, TN: Yesterday, our Chairman @alan4nv and I appeared before the YRNF Credentials Committee after being informed that 7 of our 11 delegates would not be credentialed. This stemmed from a failure by previous leadership to submit the required documentation on time. Despite presenting our case, the committee ultimately decided to uphold the disqualification of our delegates. This is a clear political maneuver by incumbent leadership, who we as a state delegation chose not to support. It is deeply disappointing to see our efforts to inspire the next generation of Republican leaders in Nevada disregarded in such a way. The future of our party deserves better than this.

On the phone with Sen. Victor Rountree and he threw down a Maya Angelou quote. "Every storm runs out of rain..." I absolutely love Sen. Rountree, an Airfoce veteran, if you do not know him look him up. He flipped a seat red to blue in 24: nebraskalegislature.gov/senators/landi…

DeepSeek’s R1 leaps over xAI, Meta and Anthropic to be tied as the world’s #2 AI Lab and the undisputed open-weights leader DeepSeek R1 0528 has jumped from 60 to 68 in the Artificial Analysis Intelligence Index, our index of 7 leading evaluations that we run independently across all leading models. That’s the same magnitude of increase as the difference between OpenAI’s o1 and o3 (62 to 70). This positions DeepSeek R1 as higher intelligence than xAI’s Grok 3 mini (high), NVIDIA’s Llama Nemotron Ultra, Meta’s Llama 4 Maverick, Alibaba’s Qwen 3 253 and equal to Google’s Gemini 2.5 Pro. Breakdown of the model’s improvement: 🧠 Intelligence increases across the board: Biggest jumps seen in AIME 2024 (Competition Math, +21 points), LiveCodeBench (Code generation, +15 points), GPQA Diamond (Scientific Reasoning, +10 points) and Humanity’s Last Exam (Reasoning & Knowledge, +6 points) 🏠 No change to architecture: R1-0528 is a post-training update with no change to the V3/R1 architecture - it remains a large 671B model with 37B active parameters 🧑‍💻 Significant leap in coding skills: R1 is now matching Gemini 2.5 Pro in the Artificial Analysis Coding Index and is behind only o4-mini (high) and o3 🗯️ Increased token usage: R1-0528 used 99 million tokens to complete the evals in Artificial Analysis Intelligence Index, 40% more than the original R1’s 71 million tokens - ie. the new R1 thinks for longer than the original R1. This is still not the highest token usage number we have seen: Gemini 2.5 Pro is using 30% more tokens than R1-0528 Takeaways for AI: 👐 The gap between open and closed models is smaller than ever: open weights models have continued to maintain intelligence gains in-line with proprietary models. DeepSeek’s R1 release in January was the first time an open-weights model achieved the #2 position and DeepSeek’s R1 update today brings it back to the same position 🇨🇳 China remains neck and neck with the US: models from China-based AI Labs have all but completely caught up to their US counterparts, this release continues the emerging trend. As of today, DeepSeek leads US based AI labs including Anthropic and Meta in Artificial Analysis Intelligence Index 🔄 Improvements driven by reinforcement learning: DeepSeek has shown substantial intelligence improvements with the same architecture and pre-train as their original DeepSeek R1 release. This highlights the continually increasing importance of post-training, particularly for reasoning models trained with reinforcement learning (RL) techniques. OpenAI disclosed a 10x scaling of RL compute between o1 and o3 - DeepSeek have just demonstrated that so far, they can keep up with OpenAI’s RL compute scaling. Scaling RL demands less compute than scaling pre-training and offers an efficient way of achieving intelligence gains, supporting AI Labs with fewer GPUs See further analysis below 👇