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- Tik Tok is back, but with a twist!
Tik Tok is back, but with a twist!


š Welcome to the Latest Edition of Thunderbolt AI! š
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Create AI UGC Photos & Turn Them into Videos
Use AlphaXiv for Instant Literature Reviews
AI Tool of the day
Lets get startedš
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š§ How to Use AlphaXiv for Instant Literature Reviews
Turn hours of research into seconds using AlphaXivās AI Assistant. Perfect for students, researchers, and builders who want fast, contextual access to arXiv papers.
š Step-by-Step
1ļøā£ Go to the AlphaXiv website and sign up
2ļøā£ Click on the āAssistantā tab in the dashboard
3ļøā£ Enter your question or research prompt
Sample Prompt:
What are the latest breakthroughs in RL fine-tuning?
4ļøā£ Wait a few seconds while AlphaXiv processes
š What Youāll Get
A comprehensive literature review
Curated, trending arXiv papers
Summarized insights and contextual highlights
Option to use ā@ā to reference or add specific papers to your conversation
š Whether you're preparing for a thesis, exploring a new field, or just staying aheadāAlphaXiv makes academic research lightning-fast and deeply contextual.
Try it once. Youāll never go back to manually scanning papers again.
š TikTokās Parent Company Unveils New High-Performance Reasoning AI
ByteDance, the tech giant behind TikTok, has entered the reasoning AI competition with Seed-Thinking-v1.5, a new Mixture-of-Experts (MoE) model designed to outperform rivals like DeepSeek R1, Gemini 2.5 Pro, and OpenAIās o3-mini.
š” Why it matters:
Specializes in STEM, coding, and structured reasoning (similar to OpenAIās "o" models).
MoE architecture (20B active params out of 200B total) for efficiency.
Beats DeepSeek R1 in benchmarks and matches Gemini 2.5 Pro in some tests.
Licensing still unclearāwill it be open-source or proprietary?
š Benchmark Breakdown: How Seed-Thinking Stacks Up
Model | AIME 2024 | Codeforces (pass@8) | GPQA (Science) | ARC-AGI |
---|---|---|---|---|
Seed-Thinking-v1.5 | 86.7% | 55.0% | 77.3% | Top-tier |
DeepSeek R1 | ~80% | ~50% | ~70% | Slightly lower |
Gemini 2.5 Pro | ~85% | ~52% | ~75% | Comparable |
OpenAI o3-mini | ~84% | ~53% | ~76% | Comparable |
š¹ Outperforms humans on economically valuable tasks (OpenAIās AGI benchmark criteria).
š¹ Introduced BeyondAIME, a harder math benchmark to prevent memorization.
š§ How Seed-Thinking Was Built
ā Reinforcement Learning (RL) Innovations:
VAPO & DAPO frameworks reduce instability in long reasoning chains.
Two-tier verification:
Seed-Verifier (checks math equivalence).
Seed-Thinking-Verifier (evaluates step-by-step reasoning).
ā Efficient Training Infrastructure:
HybridFlow framework + Ray clusters for GPU optimization.
Streaming Rollout System (SRS) ā 3x faster RL cycles.
FP8 precision, expert parallelism, auto-tuning for MoE efficiency.
ā Data Strategy:
400K fine-tuning samples (300K STEM/logic, 100K creative).
Elite competition problems (AIME, Codeforces, GPQA).
š® Whatās Next?
Will ByteDance open-source Seed-Thinking like Metaās Llama?
Can it challenge OpenAI & Google in reasoning-focused AI?
Will TikTok integrate this AI for content moderation or recommendations?
š¬Your Take?
Is reasoning AI the future, or just hype? Would you trust a ByteDance model?
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