DeepCore.AI retweeted
Project Investment Research
$ETH
CA-0x2170ed0880ac9a755fd29b2688956bd959f933f8
BTGLAQzOF9jKZclOf0oRtIqFRY8qMaI0mlMr3DonbqMOKm65Yt0MEHGxw6RccnrK
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DeepCore.AI retweeted
Project Investment Research
$ZRC
CA-0xfd418e42783382e86ae91e445406600ba144d162
Dxf4SZR0uPdjI77UJt07no1pw7ChpOcaq5ZAa+qcRjiX/JyNsHjRxXdFLKm4XyzD
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DeepCore.AI retweeted
Project Investment Research
$PENDLE
CA-0x808507121b80c02388fad14726482e061b8da827
z2tGGI31ciU+65uw7n6XxseKJNOkNwqD6xJzusltmnP935YdfH5OswHeGf2GMPEk
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DeepCore.AI retweeted
Project Investment Research
$HYPE
CA-0x0d01dc56dcaaca66ad901c959b4011ec
/0qpfw5pxQdj93qPe2Y6R2p5kyxrQjK5KzrUeCexlCsjf0EUK0MtuNDhzek5VrIs
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DeepCore.AI retweeted
🎙️ Pioneering the Future of Web3 with AI Agents: A Deep Dive with @DeepCore_io 🤖🌐
📅 May 29, 2025 | 🕒 12:00 PM UTC
🎙️ Host:@xmuha0
🎤 Guest:@DeepCore_io
📰 Media Observers:
@CoinGapeMedia
@cryptodotnews
@DroomDroom
👉 Set a reminder: xitter.cf/i/spaces/1MYGNwj…
#LBankSpaces #DeepCoreAI #Web3 #AI
DeepCore.AI retweeted
What if AI wasn’t just plugged into crypto... but became its own chain-level actor?
➜ @DeepCore_io just made this shift real instead of an hypothesis.
⚙️ How? By launching the first-ever A2A (Agent-to-Agent) framework in Web3.
➜ Agents can now talk, act, and execute across chains. On their own. Live on Solana.
$DPCORE unlocks full-scale, on-chain autonomous coordination and represents the first move toward AI-as-Chain, and it changes the game.
🔗 Curious how it works? Dive in and see it live: deepcore.top/
DeepCore.AI retweeted
🌅 #DPCORE (DeepCore AI) Net-buying Competition with $5,000 $DPCORE giveaway!
🗓 May 23rd - May 30th 13:00 (UTC)
👉 Join: lbank.com/trade/dpcore_usdt
💡 Details: lbank.com/activity/DPCORE-ne…
DeepCore.AI retweeted
Soon, AI will far exceed the best humans in reasoning
GROK-3 MINI MADE AI HISTORY—100% ON HARDCORE REASONING TESTS
Grok-3 Mini pulled off what no other model has!
It aced every question on one of the toughest reasoning benchmarks out there.
The test? A custom logic gauntlet packed with curveballs:
* 120/120 on the “Marcus Problem” — full of shuffled sentences meant to trip up inference.
* 24/24 on the “Alice+ Problem” — designed with irrelevant noise to throw models off course.
* 24/24 on high-difficulty mixed challenges — where even GPT-4.5 and Gemini 2.5 Pro slip.
No guessing. No trivia. Just pure, distraction-proof reasoning—Grok-3 Mini nailed it!
Source: @hive_echo