@xai launched Grok-4: touted as the “smartest AI on the planet”, Heavy version monthly fee $300
Launched two versions Grok-4 and Grok-4 Heavy, with a training volume 10× that of Grok-3.
In the vending-bench business benchmark, the ability to operate vending machines automatically in the long term: managing inventory, bargaining, pricing, etc., ranks first in “profitability.”
Multi-modal features will be launched subsequently.
Comment: Extremely extravagant, no matter how high the monthly fee is, as long as it can really “print money”, companies will still pay for it.
@gizatechxyz × @RektHQ: Recommended flow “Open Cover for Verification”
In addition to the previously launched stablecoin yield optimization AI Agent, Giza will also develop on-chain zkML infrastructure; RektHQ is an on-chain security/data media. This collaboration:
Use Giza’s zero-knowledge proof (ZKP) to turn RektHQ’s recommendations into verifiable “receipts” - just a click in the browser can prove that this content is indeed selected by an open-source algorithm, not stuffed by advertisements.
Goal: Say goodbye to the black box of social platforms and return control to the users.
Comment: In the future, you won’t have to guess “Is it for money?” when browsing the Feed; authenticity can be verified with one click.
@near_ai introduces Shade Agents: the contract will manage the keys and place orders by itself.
Package TEE (Trusted Execution Environment) + NEAR chain signature into Agent Contract
Developers can register a Worker Agent running in TEE, securely sign transactions, and never be custodial.
Comment: The framework launched by the official aims to achieve a true “self-managed robot wealth management”, which does not require trusting the company or managing private keys by oneself.
@FireworksAI_HQ: Training models with models, creative writing win rate 93.8%
Fireworks AI is a “cloud matching platform for open-source large models” - helping developers save the trouble of building their own GPUs and fine-tuning, with API services that are ready to use and can be adjusted as needed. This initiative:
Use Qwen3-235B as a “referee” to reward Qwen2.5-32B and perform reinforcement fine-tuning on the latter.
Fine-tuned model vs original model: Writing comparison, win rate up to 93.8%.
Comment: Using models to train models, the idea of reinforcement learning ( here is Reinforcement Finetuning, RFT) is feasible.
📊 Data Source: @xhunt_ai, Cookie DAO, Coingecko
💡Risk Warning: The above is for informational purposes only and is not investment advice.
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Biteye AI Daily July 11
Today’s zone market capitalization: $10.7B +8.02%
Everyone is celebrating, the zone has been continuously surging, has the bull returned?
📈24h Coingecko Trading Volume Top 10: Token Trading Volume Market Capitalization Price Volatility 1- $VIRTUAL $355.7M $1.2B $1.77 +11.6% 2- $BANANAS31 $318.7M $557.2M $0.06 +129.4% 3- $SAHARA $212.6M $163.8M $0.08 +3.3% 4- $TAO $165.2M $3.5B $375.02 +7.4% 5- $AI16Z $116.7M $208.0M $0.19 +11.9% 6- $AIXBT $109.6M $147.8M $0.16 +6.5% 7- $ZEREBRO $69.8M $33.3M $0.03 -22.4% 8- $KAITO $66.7M $397.8M $1.65 +9.4% 9- $COOKIE $58.2M $110.5M $0.20 +19.0% 10- $GOAT $50.3M $131.8M $0.13 +26.3%
⭐️Key Information
Comment: Extremely extravagant, no matter how high the monthly fee is, as long as it can really “print money”, companies will still pay for it.
Comment: In the future, you won’t have to guess “Is it for money?” when browsing the Feed; authenticity can be verified with one click.
Comment: The framework launched by the official aims to achieve a true “self-managed robot wealth management”, which does not require trusting the company or managing private keys by oneself.
Comment: Using models to train models, the idea of reinforcement learning ( here is Reinforcement Finetuning, RFT) is feasible.
📊 Data Source: @xhunt_ai, Cookie DAO, Coingecko
💡Risk Warning: The above is for informational purposes only and is not investment advice.