I promised a trailer and I’m here to deliver. Please kindly drop and review if you like it and please kindly refer me for gigs please 🥺❤️🤲 This is a story of a body that woke up with a sudden superpower and seeks answers to how the power came about but he meet with hurdles and challenges. TITLE: ZEPHO @timikareem @DejiBigBag @chyderaweb3 @ImozemhePeniel @LekeboyxCrypt @Crypto__Haris CC : @OiiOii_Official @OiiOii_AI

Yesterday, Anthropic introduced Claude Duet. And I think the idea behind it is more interesting than another model launch. Here’s why. For years, we’ve been trained to open an AI app, type a prompt, get an answer, and repeat the process. You ask. AI responds. But what happens when AI no longer has to wait for you to start every interaction? Claude Duet is designed to monitor connected apps, send you a daily briefing, flag things that need your attention, and work on tasks while you’re away. Need a dashboard built? It can work on it. Need help organizing your workload? It can identify what deserves your attention. Have a task that takes hours? It can keep working in the background. Sensitive actions still require your approval. But notice what is changing. We’re moving from AI that waits for instructions to AI that can identify tasks, work toward outcomes, and return when it needs you. That is a very different relationship between humans and software. And Anthropic isn’t alone. Google is building its Gemini agent around completing workplace tasks, while OpenAI is expanding how its models reach businesses. Different products. Similar direction. The industry wants AI to become more than a tool you open when you need help. It wants AI to become part of how your work gets done. Of course, reliability, privacy, and knowing when an agent should stop and ask permission remain serious challenges. But the direction is worth watching. The next big AI competition might not be about who gives you the best answer. It might be about who can take a task off your hands and actually finish it. That’s where things get interesting.

Leverage is easy to get. Keeping it working for you over the long term is the hard part. That’s why Kelly-optimized leverage is worth understanding. The idea goes back to 1956, when John Kelly’s work helped establish a mathematical framework for sizing positions to maximize long-term compounded growth. It’s a concept that has influenced portfolio theory for decades, but accessing leverage designed for long-term holding has traditionally come with its own problems: expensive financing, volatility drag and the risk of liquidation. @2FactorFinance is trying to change that. Instead of building around short-term trading, 2Factor is designed for people who want leveraged exposure over longer periods. It manages the leverage target and sources financing from yield-seeking investors rather than relying on short positions as its financing source. The goal is to reduce financing costs and remove liquidation risk, making long-term leveraged exposure more practical. That doesn't mean the investment itself is risk-free, but the approach is interesting. And here's something you can explore without putting money in upfront. The 2Factor Points Program is live, and you can start earning Marks by completing tasks. Season 1 Marks carry over into Season 2, while the top 10 on the final Season 1 leaderboard will split 1 BTC. I’ve joined and completed my first two tasks. If you're curious about what 2Factor is building, you can check it out and get started here: points.2factor.finance/r/l17… Worth learning about Kelly-optimized leverage now, rather than waiting until everyone starts talking about it.

Your project works perfectly. So why is getting it online a whole different project? That’s the part Synteq Cloud Apps wants to eliminate. Their newest product lets you deploy straight from GitHub, run one command, or drag and drop. No server setup. No configuration headaches. No getting lost in DevOps when you should be building. Made for solo devs and small teams who want to ship, not babysit infrastructure. I claimed $20 in free platform credit just by commenting “LAUNCH” on their post. Less setup. More shipping.

Posting this video again for the new gamdom challenge #Gamdom100kRound2 @stevewilldoit had to do something with the men in blabk to @yungreal69 before it get out of hand

One thing Solana has plenty of is new coins. The real challenge is knowing which ones are worth paying attention to before everyone else catches on. That’s what Urge(.)fun is trying to solve. Instead of focusing only on price charts, it tracks what wallets are actually doing. It looks at five things: > Are more unique wallets buying? > Is buying activity increasing? > Is more money flowing in than out? > Are buyers coming back for more? > Are fewer people selling? When these signals start showing up while the price is still relatively flat, Urge(.)fun labels it “Know First.” But there’s another interesting part: creator tracking. You can look into what creators bought, held, sold, or transferred, alongside their previous launches, including the ones that failed. The platform also assigns a Creator Score when there’s enough data, based on how hypothetical buyers would have performed by following that creator’s activity. Of course, these signals aren’t guarantees that a coin will pump. They show what’s happening on-chain, not what will happen next. Still, if you’re tired of relying on charts alone to discover tokens on Solana, Urge(.)fun is worth a look.

I’m sorry but at this age if you can’t identify ChatGPT watermark on images You’re NGMI