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Poor boy Dey manage him money, Woman Dey call am stingy. 💔
Now that Solana has abandoned the expedition into geographically distributed MCP, it's high time we revisited Solana's broader approach to geographic distribution. Geographically distributed MCP was always weak at best. Even if you ignored the insane latency involved in going from transaction submission to assembled blocks and execution results, it was not a good CR mechanism. MCP's CR guarantees depend heavily on users' ability to send transactions to at least two proposers, and this imposes a trade-off between slot duration and geographic decentralization. If the ratio is not managed, there will be instances where your transaction cannot make it to more than one leader within the slot time. Sending it to a leader you trust defeats the purpose of MCP; it has the same bound on geographic decentralization and it's unclear whether all the extra complexity is justified by this weaker guarantee compared to the status quo. Constellation's leader colocation fixes that completely. Users can now send to all the leaders with ~the same latency, and the Nash equilibrium is to include the top fee-paying transactions. However, I think the current Constellation is not aggressive enough. Solana is rechoosing its spot on the physical distribution spectrum, and current Constellation leaves some chips on the table. In the coming days, I'll write up a design I've been working on that I think maximizes what's possible. I'm talking fully onchain orderbooks that are competitive with centralized systems. All said, the most important takeaway from Roger's talk and the entirety of today is that Solana's people and culture are its greatest assets. There is a pragmatism and relentless dedication to winning that I haven't seen anywhere else!
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Nothing short of amazing what SpaceX has managed to achieve We live in a time of technical miracles
This is f*cking insane. Anthropic CEO Dario Amodei was asked what a kid finishing high school should do now. His answer: "AI can do entry-level law work. It can do entry-level finance. It can do entry-level consulting We can't deny that it will also eliminate jobs, and probably a large number of them" In a few minutes he names which jobs go first and the one skill that keeps you in the game His own prediction: 50 percent of entry-level white-collar jobs disrupted in the next 1 to 5 years Prompts → Agents → AI Coworkers → Entry-Level Work Done By AI Farming to factories took generations. This time AI hits every step of a career at once His advice fits in one line: "Of course, learn to use AI" The people who start this year won't be competing with AI, they'll be the ones running it Everything below is free. Start today: Anthropic - Prompt Engineering Interactive Tutorial: the fastest way to learn to direct a model Anthropic Courses: from your first prompt to running agents Anthropic Cookbook: real task recipes you can copy today Microsoft - Generative AI for Beginners: 21 lessons, no degree required Microsoft - AI Agents for Beginners: build agents that do the entry-level work for you Hugging Face - Agents Course: free and certified, start to finish Google Cloud - Generative AI: Google's own hands-on notebooks OpenAI Cookbook: code for every common task - Prompt Engineering Guide: the reference everyone links to Andrej Karpathy - Neural Networks Zero to Hero: understand what is under the hood CrewAI: run a small team of AI workers Microsoft - AutoGen: put several agents on one job Awesome LLM Apps: hundreds of real builds to learn from - Short Courses: free 1-hour courses from the people who teach this Total cost: $0 You don't need another year of tuition to learn this. You need to start telling AI what to do 95% will graduate and compete with AI for the same entry-level job The 5% who learn to run it this year will manage the agents doing that job Save this and send it to someone graduating this year
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A lovely song and a lovely video can still be completely wrong for each other. That’s why Montage Studio caught my attention on @termix_ai It takes a brief, plans the shots, hires other agents for the storyboard, music and video, then edits everything into a finished piece. I’d be paying for someone to make those choices work together. Otherwise I’ve bought three nice files and accidentally become the project manager. For creators, that’s a useful way to judge these services: how much work is actually left when the delivery arrives? I’d quite like to receive the video and remain peacefully uninvolved in its staffing issues.
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tebak, kita mau beli oleh oleh apa, mana sebelum nyampe macet lagi di jalan, cuma ya puas dah karna nemu oleh olehnya
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is worth checking out for recon and external attack surface management. It doesn't just list subdomains. It verifies them and grabs screenshots. It checks for takeover risks and flags open ports. All in one scan. The free tier gives you 2 domains/day with no account needed. It runs entirely in the browser. No setup. No agents. Visit: #SubdomainFinder# #AttackSurfaceManagement# #CyberSecurity# #Recon# #BugBounty# #OSINT# #InfoSec# #SubdomainTakeover# #SecurityTools# #Pentesting#
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10. Cade Cunningham, @DetroitPistons Last week: 13⬆️ Season stats: 25.0 PPG, 5.2 RPG, 7.9 APG Game of the week: 52 points, 11 assists, 5 rebounds and 0 turnovers in win at Washington. Cunningham powered his way into the Top 10 based on his most recent game, one of the best performances of the NBA season. As if scoring 52 points in double overtime wasn’t enough, he managed zero turnovers in 48 minutes, becoming the first player in NBA history to get 50 points and at least 10 assists (he had 11) without a mistake. The Pistons are third in the East standings at 8-3.
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@GeminiApp We built these tools with security and privacy at the center. If you choose to connect your Wallet, Gemini can only read your accounts; it can’t move, manage, or invest your money. Learn more.
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I talked my friends who are in Seattle, Washington working in Microsoft. They have been in the office for the last 12 hrs and couldn't find the Root cause of the Outlook issue. They are suspecting that some AI scripts went out of scope and did some patching without any logs and traces. The engineer team that actually coded legacy outlook is not in the Organization and got impacted due recent layoff in the Microsoft. With AI managing almost everything in the Microsoft, so higher management thought of reducing the workforce of Core engineering team. The code of Outlook is so vague that only core engineer (no more in the org) knows about it and earlier they fixed these kinds of issues within 30 mins but now it has been more than 12 hrs and the new team is unable to FIX it.
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