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- 📢 Gate Square #Creator Campaign Phase 2# is officially live!
Join the ZKWASM event series, share your insights, and win a share of 4,000 $ZKWASM!
As a pioneer in zk-based public chains, ZKWASM is now being prominently promoted on the Gate platform!
Three major campaigns are launching simultaneously: Launchpool subscription, CandyDrop airdrop, and Alpha exclusive trading — don’t miss out!
🎨 Campaign 1: Post on Gate Square and win content rewards
📅 Time: July 25, 22:00 – July 29, 22:00 (UTC+8)
📌 How to participate:
Post original content (at least 100 words) on Gate Square related to
- 📢 Gate Square #MBG Posting Challenge# is Live— Post for MBG Rewards!
Want a share of 1,000 MBG? Get involved now—show your insights and real participation to become an MBG promoter!
💰 20 top posts will each win 50 MBG!
How to Participate:
1️⃣ Research the MBG project
Share your in-depth views on MBG’s fundamentals, community governance, development goals, and tokenomics, etc.
2️⃣ Join and share your real experience
Take part in MBG activities (CandyDrop, Launchpool, or spot trading), and post your screenshots, earnings, or step-by-step tutorials. Content can include profits, beginner-friendl
- 🎉 Gate Square’s "Spark Program" Surpasses 1,000 KOLs!
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- 📢 #Gate Square Writing Contest Phase 3# is officially kicks off!
🎮 This round focuses on: Yooldo Games (ESPORTS)
✍️ Share your unique insights and join promotional interactions. To be eligible for any reward, you must also participate in Gate’s Phase 286 Launchpool, CandyDrop, or Alpha activities!
💡 Content creation + airdrop participation = double points. You could be the grand prize winner!
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1️⃣ Publish an
Apple researchers: Mainstream AI models still cannot achieve the expected reasoning level of AGI.
Gate News bot news, researchers at Apple pointed out in a paper titled "The Illusion of Thinking" published in June that leading artificial intelligence (AGI) models still face difficulties in reasoning. Therefore, the race to develop general artificial intelligence (AGI) still has a long way to go.
The article points out that the latest updates of mainstream artificial intelligence large language models (LLM) (such as OpenAI's ChatGPT and Anthropic's Claude) have included large reasoning models (LRM), but their fundamental functions, extended features, and limitations "are still not fully understood."
The current evaluation mainly focuses on established mathematical and coding benchmarks, "emphasizing the accuracy of the final answer." However, researchers indicate that this assessment does not delve into the reasoning capabilities of AI models, starkly contrasting with the expectations that general artificial intelligence could be achieved in just a few years.
Researchers designed different puzzle games to surpass standard mathematical benchmarks to test the "thinking" and "non-thinking" variants of Claude Sonnet, OpenAI's o3-mini and o1, as well as DeepSeek-R1 and V3 chatbots.
They found that "state-of-the-art logical reasoning models (LRM) face a complete collapse in accuracy when exceeding a certain level of complexity," making it impossible to generalize reasoning effectively, and their advantages diminish as complexity increases, contrary to expectations regarding the capabilities of general artificial intelligence (AGI).
Source: Cointelegraph