What is SWEAT?

SWEATPubblicato 2022-08-09Pubblicato ultima volta 2022-08-19

Introduzione

SWEAT is minted solely by user movement. The purpose of SWEAT is to bring real value to movement, and thereby incentivize people to get moving.

SWEAT is minted solely by user movement. The purpose of SWEAT is to bring real value to movement, and thereby incentivize people to get moving. SWEAT has many use cases as the lifeblood of Sweat Economy, an ecosystem dedicated to truly rewarding movement. Use cases via the Sweat Wallet App: staking for access to unique rewards, access to NFTs and gamification, crypto-crypto exchange, fiat on-ramp, and much more. When it is live, each SWEAT will become exponentially more difficult to mint as time goes on.

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Flare Token Surges Ahead of Key Governance Vote on Major Economic Overhaul

Flare's native token, $FLR, has surged approximately 10.2% ahead of a key governance vote scheduled for April 16-24. The proposal includes a major economic overhaul aimed at reducing token inflation and introducing a protocol-level revenue system. Key changes involve restructuring block production to internalize MEV (Maximal Extractable Value) capture, redirecting those earnings back into the ecosystem. Additionally, the plan establishes the Flare Income Reinvestment Entity (FIRE) to use protocol revenue for token burns and buybacks. It also proposes reducing the annual inflation rate from 5% to 3% and significantly increasing the base gas fee to accelerate the burn rate, potentially boosting annual burns from 7.5 million to 300 million FLR.

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Flare Token Surges Ahead of Key Governance Vote on Major Economic Overhaul

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Ethereum Foundation Key Researcher Josh Stark Departs After Five Years

Ethereum Foundation key researcher and project manager Josh Stark has announced his departure after five years. In a public statement, Stark reflected on the ecosystem's significant achievements, such as overcoming doubts to successfully launch Ethereum, decentralized finance (DeFi), and Proof of Stake. He did not specify his reasons for leaving or future plans, stating he intends to spend time with loved ones. His exit is the latest in a series of high-profile departures, following contributor Trent Van Epps' resignation just a day prior. This comes during a period of increased community scrutiny over Ethereum's long-term direction, which previously prompted co-founder Vitalik Buterin to propose major reforms for the Foundation in early 2025. Buterin's outlined goals included recruiting new blood, improving decentralization, and enhancing protocol throughput, while avoiding lobbying or ideological disputes.

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Ethereum Foundation Key Researcher Josh Stark Departs After Five Years

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OpenAI Completely Overhauls Codex, Grows Its Own Mouse, Schedules Itself to Outwork Humans

OpenAI has fundamentally transformed Codex from a coding assistant into a versatile AI agent capable of autonomous computer control. The updated Codex can now operate in the background with its own independent cursor, allowing it to run applications like Xcode, test software, and fix bugs without interrupting the user’s workflow. It features a built-in browser for real-time visual editing of web pages, enabling developers to make changes through direct UI interactions. The release also introduces over 90 plugins for tools like JIRA, CircleCI, and SharePoint, integrating end-to-end development and productivity workflows. A new "heartbeat" feature allows Codex to self-schedule tasks, maintain context across sessions, and work autonomously over extended periods. Additional enhancements include memory capabilities, support for handling GitHub code reviews, multi-tab terminals, and built-in file generation for Excel, PDF, and PowerPoint. Currently, advanced computer control is available on macOS (excluding EU/UK users), with Windows support limited to data retrieval. This expansion positions Codex as a foundational step toward OpenAI’s planned "super-app," combining coding, automation, and multi-tool integration into a single platform.

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OpenAI Completely Overhauls Codex, Grows Its Own Mouse, Schedules Itself to Outwork Humans

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Bitcoin Recovery Fails To Lift Market Sentiment From Extreme Fear

Despite Bitcoin's recent recovery to around $74,800, the overall market sentiment remains in "extreme fear," according to the Crypto Fear & Greed Index. The index, which measures investor sentiment based on factors like volatility, social media, and trading volume, is at a value of 23, just inside the extreme fear zone. This marks a continued period of bearish sentiment since late 2025. Although Bitcoin's rally provided a brief uplift in mid-March, the current price movement has not been enough to shift market psychology into a more positive or greedy territory. For sentiment to improve, a sustained bullish momentum may be required.

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Bitcoin Recovery Fails To Lift Market Sentiment From Extreme Fear

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World Models Shift from Prediction to Planning: HWM and the Challenge of Long-Horizon Control

World models have evolved from focusing on representation learning and future prediction to addressing long-horizon planning challenges. While models like V-JEPA 2 demonstrate strong predictive capabilities using large-scale video pre-training, they struggle with multi-stage control tasks due to error accumulation and exponential growth in action search space. HWM (Hierarchical World Model) introduces a two-level planning structure: a high-level planner outlines coarse subgoals over longer time horizons, while a low-level executor handles short-term actions. This decomposition reduces planning complexity and error propagation. In experiments, HWM achieved 70% success in real-world robotic tasks where flat models failed entirely. Complementary efforts include V-JEPA (focused on representation), HWM (on hierarchical planning), and WAV (World Action Verifier, on self-correction). Together, they mark a shift from pure world modeling to integrated systems capable of prediction, planning, and verification—key to deploying world models in real-world agents and long-term tasks.

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World Models Shift from Prediction to Planning: HWM and the Challenge of Long-Horizon Control

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