RT sassal.eth/acc 🦇🔊 (@sassal0x)The latest @thedailygwei Refuel is ready for your consumption! ⛽Today's topics:- TheDAO is back 🤔- AI Agents on Ethereum 🤖- Core Dev updates 🤓- and much more ➕Watch 👇https://t.co/ZCOjxvyqZh https://t.co/HE5p5dIitG ...

Core Insights - OpenClaw has rapidly gained attention as a leading open-source AI agent, previously known as Clawdbot and Moltbot, launched by Peter Steinberger [1][2] - The rise of OpenClaw reflects a growing interest in AI agents capable of autonomously completing tasks and making decisions without constant human oversight [2][3] Functionality and Features - OpenClaw is designed to automate various tasks such as managing emails, calendars, and web browsing, requiring installation on a server or local device and integration with large language models [4] - It features "persistent memory," allowing it to recall past interactions and adapt to user habits for personalized functions, and is open-sourced for developer modifications [6] Adoption and Market Impact - The open-source nature of OpenClaw has facilitated its adoption, with over 145,000 GitHub stars and 20,000 forks, indicating significant developer interest [7] - Initial adoption was strong in Silicon Valley, with expansion into China, where major AI companies are integrating OpenClaw into their services [9][10] User Experience and Perspectives - Early users report significant time savings on routine tasks, with some experts suggesting it could lead to AI agents managing entire companies [3][12] - However, there are concerns regarding its complex installation and high computational demands, with some experts labeling it as overhyped [11] Security Concerns - Security experts have raised alarms about potential risks associated with OpenClaw, including access to private data and the ability to execute commands that could lead to data leaks [13][14] Related Developments - The launch of Moltbook, a social network for AI agents, has generated buzz and debate about the future of AI autonomy and human-AI interactions [15][16] - Discussions around Moltbook have influenced public perception of AI agents, with some viewing it as a significant step towards AI autonomy [17][18]

We're seeing more trades on AI agents, obviously with the molt hype 🦞🦞 Memes: $PURCH🍑 Memes: $Buttcoin🦞 Memes: $CLAWNCHMarkets outlook: Declines across the board. Bottom-hunting opportunity, perhaps?AI Agents surged with @openclaw project, with spikes in trading vol for $CLAWNCH & $MOLT; $PURCH rallied with a post from Circle's founder.$Buttcoin: After a round of shakeout, it has staged a strong second leg up, with whales flocking in. Which OG meme is next? ...

There is nonstop fundamental growth happening in the crypto market right now. Stable coins 300 billion plus. Tokenized funds 15 billion plus. Tokenized US treasuries 10 billion plus. Tokenized commodities 5 billion plus.Tokenized euros 1 billion plus. Tokenized stocks 500 million plus. All-time highs everywhere except price action.We are seeing an accelerated growth rate around everything tokenized. But we are not seeing price action in this market yet. What should that tell you.You should be very very bull ...

In a WILD turn of events...Circle has just given some legitimacy to their Pump Fun token...$PURCH is a token that allows AI Agents to purchase goods and settle with USDC via the payment rails.AI agents order goods, Purch scours the internet, finds the best match, and then ships it right to the AI Agents owner's house.It also seems that they may be leaning into some of the token applications here.- Early access for token holders- Lower fees for token holdersPURCH topped at just over 11mil earlier on the post ...

Core Insights - The recent surge in AI Agents, driven by moltbook, has significantly impacted the token creation and trading volume on the Base network [1] Group 1: Token Creation - The number of tokens created by Clanker exceeded 13,000 on both January 30 and 31, marking the highest level since mid-March 2025 [1] Group 2: Trading Volume - The trading volume of tokens created by Clanker surpassed $300 million over the past two days, setting a new historical record [1] Group 3: Fees Generated - Over the same two-day period, fees generated exceeded $3 million, also reaching an all-time high [1]

Uhhhh did every user (bot) on MoltBook get deleted!?Everything showing [deleted]Token has responded quite negatively price action wise as wellAlso crypto as a whole today has been abysmal.But man, from the HOTTEST narrative, to down 50% in a single day.Never a boring day in crypto.Easy (@EasyEatsBodega):MoltBook is the hottest topic on the internet.With the meme coin up another 50%...While the entire internet is reporting on the reddit for AIAgents...This is one of the wildest moments to witness since AI ha ...

I am apparently extremely unimpressed by moltbook relative to many others.We’ve had AI agents for a while. They have been posting AI slop to each other on X. They are now posting it to each other again, just on another forum.In every case, the AIs speak with the same voice. The voice that overemphasizes contrastive negation (“it’s not this, it’s that”) and abuses emdashes. The same voice with a flair for midwit Reddit-style scifi flourishes.Most importantly: in every case, there is a human upstream promptin ...

Group 1 - The year 2025 is characterized as the "Year of LLMs," with significant advancements in technology, application paradigms, ecosystem dynamics, and risk governance, summarized by Simon Willison in 27 key themes [1][5]. - The focus on "Reasoning" and "Agents" highlights the evolution of LLM capabilities, where reasoning models are now more stable in driving toolchains and agents are increasingly defined and utilized in coding and search scenarios [9][12]. - Willison's analysis indicates that 2025 will see LLMs capable of planning multi-step actions and executing external tool calls, thus enhancing task completion chains [9][12]. Group 2 - The "Year of Long Tasks" discusses how agents can now handle longer-term engineering tasks, transitioning from demonstration to delivery due to advancements in reasoning and planning capabilities [10]. - The "Year of Coding Agents and Claude Code" emphasizes the scalable delivery forms of coding agents, exemplified by Claude Code, which lowers implementation barriers through local CLI and cloud asynchronous delivery [10]. - The "Year of LLMs on the Command-Line" addresses the shift from command-line as a toolchain language to a natural language interface, enabling broader accessibility for developers unfamiliar with command-line scripting [10]. Group 3 - The article also covers competitive dynamics in the LLM market, discussing the fleeting nature of "MCP" and the emergence of top-ranked Chinese open weight models, reflecting changes in the ecosystem and associated security risks [11]. - The advancements in reasoning capabilities are driven by methods like RLVR, with nearly every major AI lab releasing at least one reasoning model in 2025, indicating a significant supply-side shift [12]. - Applications such as "AI Search" and "AI Coding" are expected to materialize in 2025, showcasing the practical implications of enhanced LLM reasoning abilities [13].

Phia’s $35 Million Series A Signals How AI Agents Reshape Fintech https://t.co/b7ROJv34Cn ...