Project Updates

Tracks blockchain projects from inception to their latest updates and major milestones. By covering project financing, partnerships, and product upgrades, it helps investors stay informed about the latest industry trends and developments.

StarkWare Makes Drastic Cuts to Survive, L2 'Technical Faith' Liquidated by the Market

StarkWare, the infrastructure company behind Starknet, has announced a major restructuring, including layoffs and splitting into two separate business units. This move comes as the Layer 2 network faces a severe decline, with monthly revenue plummeting over 95% from its late 2023 peak to just tens of thousands of dollars. CEO Eli Ben-Sasson stated the company had become "too big and inefficient" and must return to a startup mentality. The new structure creates a Starknet development unit, focused on the core protocol, and an applications unit, tasked with direct revenue generation by building products that leverage StarkWare's unique tech stack, potentially in quantum security and Bitcoin-related areas. This reflects a wider crisis in the L2 sector triggered by Ethereum's EIP-4844 upgrade, which drastically reduced data availability fees and shattered the core business model of profiting from gas差价. The market has since polarized. Base and Arbitrum now dominate, capturing the majority of value and fees, while Starknet's TVL sits at a fraction of Base's and its native token STRK trades below its total historical fundraising amount. The article concludes that technical superiority is no longer enough to win; distribution power and strategic alliances are now the key drivers. StarkWare's shift from an infrastructure provider to a product-focused company is a strategic retreat in this consolidating market, forcing it to prove it can build and sell products, not just invent advanced technology.

marsbit04/14 08:05

StarkWare Makes Drastic Cuts to Survive, L2 'Technical Faith' Liquidated by the Market

marsbit04/14 08:05

TAO is Elon Musk who invested in OpenAI, Subnet is Sam Altman

The article, titled "TAO is Elon Musk who invested in OpenAI, Subnet is Sam Altman," presents a critical analysis of the Bittensor (TAO) project. It argues that Bittensor functions as a decentralized AI marketplace where TAO tokens fund AI research via subnets. However, the author highlights a fundamental flaw: subnet operators have no obligation to return any value, such as AI models or profits, back to the TAO ecosystem or its token holders. This structure is likened to Elon Musk's early investment in the non-profit OpenAI, which later commercialized its technology without returning value to its initial benefactor. The bear case posits that Bittensor is essentially a wealth transfer from crypto speculators to AI researchers ("miners"). Subnets can use TAO incentives for development and then take their successful products elsewhere, leaving TAO holders with diluted tokens from inflation and no captured value. The lack of enforced equity or binding mechanisms means the project relies on a "hope" that subnet tokens maintain value. The optimistic perspective counters that two factors could create a successful, self-sustaining economy: 1) AI's perpetual and massive resource needs could incentivize subnets to stay for continued funding, and 2) crypto has a proven ability to aggregate resources through token incentives, as seen with Bitcoin and Ethereum. The conclusion states that investing in TAO is a bet on a博弈论 (game theory) miracle—that soft incentives alone will be enough to keep the best subnets within the ecosystem and create a flywheel effect. This outcome is possible but represents a highly skewed, low-probability success scenario amidst significant risks of failure.

marsbit04/13 14:01

TAO is Elon Musk who invested in OpenAI, Subnet is Sam Altman

marsbit04/13 14:01

Hermes Agent Guide: Surpassing OpenClaw, Boosting Productivity by 100x

A guide to Hermes Agent, an open-source AI agent framework by Nous Research, positioned as a powerful alternative to OpenClaw. It is described as a self-evolving agent with a built-in learning loop that autonomously creates skills from experience, continuously improves them, and solidifies knowledge into reusable assets. Its core features include a memory system (storing environment info and user preferences in MEMORY.md and USER.md) and a skill system that generates structured documentation for complex tasks. The agent boasts over 40 built-in tools for web search, browser automation, vision, image generation, and text-to-speech. It supports scheduling automated tasks and can run on various infrastructures, from a $5 VPS to GPU clusters. Popular tools within its ecosystem include the Hindsight memory plugin, the Anthropic Cybersecurity Skills pack, and the mission-control dashboard for agent orchestration. Key differentiators from OpenClaw are its architecture philosophy—centered on the agent's own execution loop rather than a central controller—and its autonomous skill generation versus OpenClaw's manually written skills. Installation is a one-line command, and setup is guided. It integrates with messaging platforms like Telegram, Discord, and Slack. It's suited for scenarios requiring a persistent, context-aware assistant that improves over time, automates workflows, and operates across various deployment environments.

marsbit04/13 13:11

Hermes Agent Guide: Surpassing OpenClaw, Boosting Productivity by 100x

marsbit04/13 13:11

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