@Zeus_Vision

holding a hundred random tokens expecting them all to pump is delusional. sticking to a few strong narrative runners always works out better. $UWU on Solana is leaning fully into this high-conviction energy = mixing top-tier memes, culture, and pure momentum. full details below !

Don't feel like presenting a project to a client? Send an AI agent Tavus (definitely check out their website) announced a cool new Presentation Mode How it works: You can now upload your presentation to the PAL (Personal Advisory) knowledge base in Tavus, and it will run the whole thing from start to finish: switching slides, providing voice commentary, answering questions, and showing the relevant slide on request. What's the innovation: Previously, you could already voiceover your presentation with an AI avatar and send it to a client. But this goes way beyond that: There are two modes: Walk the Deck: PAL delivers a full presentation from the first to the last slide. On-Demand: PAL displays only the slides needed to answer a specific question. This means the client gets instant answers without searching through slides - they simply ask a question, and PAL responds immediately as a realistic speaker (check out the video), zero effort required on your end. You can streamline webinars, project demos, simple sales calls, and internal meetings. Learn more and try it out via the link - https://t.co/3sPX2U4dyG

DeepSeek is preparing for an IPO in mainland China The company has started preparing for an initial public offering and could file for listing as early as this year The plans involve listing on a mainland exchange, with a tentative filing in 2026 and a debut in 2027 Previously, DeepSeek's management informed potential investors that the company will continue to prioritize fundamental AI research over quick commercialization

Anthropic analyzed 400k Claude Code sessions Users ALREADY approve 93% of all action requests. Human is formally in-the-loop, but in reality, they are already checked out and just hitting "Approve." Another interesting fact: the gap in successful outcomes between developers and managers turned out to be quite small >34% vs 29%. This doesn't mean expertise is no longer needed. On the contrary. It just works differently now. Before, an expert was valued for being able to write complex code themselves. Now, it's for formulating the task, setting boundaries and context, and spotting mistakes in time. Human intuition at the task level, rather than the code level, delivers the main boost right now. The biggest winners are those who know how to turn their domain knowledge into instructions and quality criteria. They spend their time planning instead of fixing messy code at the end.

The main thing AI hasn't learned yet is deciding for you what matters and what doesn't Yes, neural networks can quickly do research, throw together hypotheses, and make a first draft of anything But what to implement, what to test, what to put on hold, and what to leave completely untouched that choice remains yours