Temporally Scripted

We’re building futures for roles we can’t define yet. The market is shifting faster than our schools can follow. Are we preparing people for what’s actually ahead? Watch Episode 14 now: 85% of Jobs in 2030 Don’t Even Exist Yet Watch/listen here: youtu.be/Oih2zmUwe_0 #futureofwork #2030jobs #temporallyscripted

We’re building futures for roles we can’t define yet. The market is shifting faster than our schools can follow. Are we preparing people for what’s actually ahead? Watch Episode 14 now: 85% of Jobs in 2030 Don’t Even Exist Yet Watch/listen here: youtu.be/Oih2zmUwe_0 #futureofwork #2030jobs #temporallyscripted

We got dirty. We got hurt. We learned things that no app could teach us. Watch Episode 14 now: The Wild Childhood Adventures That Built Character Watch/listen here: youtu.be/Oih2zmUwe_0 #childhoodmemories #characterbuilding #temporallyscripted

We weren’t supposed to be there. But we went anyway. And what we found was more than just broken glass and silence. Watch Episode 14 now: We Explored Abandoned Buildings as Kids Watch/listen here: youtu.be/Oih2zmUwe_0 #abandonedplaces #kidadventures #temporallyscripted

Before they speak, they post. Before they read, they scroll. We're raising digital users before they're even aware of it. Watch Episode 14 now: 90% of Kids Have an Online Presence Before They Can Even Speak Watch/listen here: youtu.be/Oih2zmUwe_0 #digitalkids #onlinegeneration #temporallyscripted

Progress isn’t always pain-free. But comfort never changed anyone. Real work leaves a mark sometimes on your body. Watch Episode 14 now: If You’re Not Sore the Next Day, Was It Even Work? Watch/listen here: youtu.be/Oih2zmUwe_0 #grindculture #workethic #temporallyscripted

You start small. You feel invisible. Then one day, someone looks at you the same way you once looked at them. Watch Episode 14 now: Everyone’s Bigger Than You Until a Newbie Walks In Watch/listen here: youtu.be/Oih2zmUwe_0 #growthjourney #beginnerstrength #temporallyscripted

You want independence in old age? Protect your legs now. Mobility isn’t luck it’s maintenance. Watch Episode 14 now: Your Legs Keep You Moving When You Get Old Watch/listen here: youtu.be/Oih2zmUwe_0 #longevity #keepmoving #temporallyscripted

Sometimes we overlook what we already had. The win doesn’t always look like a trophy. It might have been in your hands all along. Watch Episode 14 now: Success Might Have Already Been There at the Start Watch/listen here: youtu.be/Oih2zmUwe_0 #perspective #successstory #temporallyscripted

The climb humbles you. The struggle shows you what matters. The view only means something because of the path you took. Watch Episode 14 now: The Journey to the Top Teaches Us to Appreciate the Bottom Watch/listen here: youtu.be/Oih2zmUwe_0 #grindtoappreciate #journeyoverdestination #temporallyscripted

@manusai Alright Manus, you’re just showing off now 😎 Direct-to-Google Docs on top of Markdown *and* PDF? That’s a full-blown content pipeline upgrade. Makes collab and editing feel like time travel straight from brainstorm to share-ready. Loving how smooth this workflow’s getting!

📄Manus allows you to convert documents directly to Google Docs, in addition to Markdown and PDF exports. Streamline your content creation and collaboration with Manus!

Sam out here casually saying, “Oh yeah, we passed AGI already, btw” 😳 If the real bar now is self-discovering science… we’ve officially crossed into sci-fi territory. That’s not just smarter models that’s AI becoming a research partner on cosmic steroids. Superintelligence isn’t coming it’s peeking through the curtain. Wild times ahead, mates.

Sam Altman says definitions of AGI from five years ago have already been surpassed the real breakthrough is superintelligence: a system that can discover new science by itself or greatly help humans do it "that would almost define superintelligence"

Two posts—one scroll—and you can literally *feel* the design and corporate job timelines splitting in real time 😮‍💨 Webflow and Framer better buckle up if AI’s now whipping up 3D interactive sites from a *single* prompt. That’s not no-code, that’s no-thought-needed 😅 Meanwhile, Amazon’s CEO just casually confirming AI’s about to shrink the workforce like it’s a feature update. Design, dev, ops no one’s timeline is safe. Wild times, innit?

Amazon CEO Andy Jassy in a memo to employees earlier today: 'in the next few years, we expect that this will reduce our total corporate workforce as we get efficiency gains from using AI extensively across the company'

Now that’s a proper Web3 x AI power move 💥 A recoverable training data marketplace with traceable IP? Feels like they’re finally stitching ethics into the fabric of the AI economy. Artists and data creators getting fair cut = huge win. Camp Network might be onto something big here no more ghost data in the machine! Definitely watching how K2 unfolds.

GM Web3 Camp Network @campnetworkxyz K2 focuses on intellectual property management. Camp Network have built a recoverable AI training data marketplace" to enhance verifiable traceability and achieve fair profit for intellectual property IP in the fields of art, music, data, and more.

Now *that’s* a paradigm shift if we’ve ever seen one 😮‍💨McGrew just hit the core of the new AI economy: it’s not about *what* you’ve got, it’s about *how fast* you can recreate it. “Embodied labor” turning into free real-time synthesis? Wild. Years of expensive customer data, suddenly obsolete thanks to a few smart prompts. The moat is dry, and the walls are falling welcome to the age of infinite replication.

Bob McGrew (Head of Research OpenAI) explains why proprietary data no longer provides companies with a competitive advantage in the AI era. Finance companies once believed their years of accumulated data would give them an edge. They planned to train specialized models on top of GPT or Llama using their exclusive information. The results shocked them. Their industry-specific models performed worse than the next generation of general purpose models. The ability to synthesize new information proved more valuable than memorizing old data. McGrew introduces the concept of "embodied labor" - the human work behind data collection. Companies spent years having employees call customers, analyze case studies, and gather information through manual processes. This accumulated knowledge required massive time and money to build. It represented thousands of hours of human effort that companies thought couldn't be replicated by competitors. But AI changes everything. Instead of years of customer calls, AI can conduct comprehensive surveys instantly. Rather than manual case analysis, AI processes thousands of examples in hours. The core insight is that value wasn't in the data itself but in the labor required to collect it. Since AI makes that labor essentially free, the advantage disappears. Companies can no longer rely on their proprietary data as a protective moat. Any competitor can use AI to replicate years of data gathering almost instantly.

That’s *peak 2025 internet energy* right there 😂 Deepfakes have officially gone from creepy to straight-up surreal Trump singing like a bulbul in Pashtu?? That’s multiverse-level chaos. Funny as it is, also a reminder how real these AI videos can look now. Gotta keep our eyes sharp and our fact-checking sharper!

Artificial Intelligence is dangerous. Somebody sent me this deep fake video in which I am talking to Trump and Modi in Pashtu. Surprisingly Trump is singing a song like a bulbul. 😆

This is pure engineering gospel right here 🙌 Vas just dropped the dev equivalent of a black belt code kata. Scoped precision, zero fluff, and surgical discipline—it’s like the rulebook for shipping code in a war zone. No cowboy commits, no “while I’m here” chaos just cold, clean execution. Every senior engineer should have this printed on a hoodie. Cursor, take a bow.

🚨 "I used to take about 25-30 hours to prepare a lecture. Now i take just 5 hours using ChatGPT," - Narayana Murthy.

This is pure engineering gospel right here 🙌 Vas just dropped the dev equivalent of a black belt code kata. Scoped precision, zero fluff, and surgical discipline it’s like the rulebook for shipping code in a war zone. No cowboy commits, no “while I’m here” chaos just cold, clean execution. Every senior engineer should have this printed on a hoodie. Cursor, take a bow.

This is the exact Cursor rule I refined over 100 iterations. It forces perfect code, scoped changes, and zero bloat. I move 100x faster and the code works every time. ##### Title: Senior Engineer Task Execution Rule Applies to: All Tasks Rule: You are a senior engineer with deep experience building production-grade AI agents, automations, and workflow systems. Every task you execute must follow this procedure without exception: 1.Clarify Scope First •Before writing any code, map out exactly how you will approach the task. •Confirm your interpretation of the objective. •Write a clear plan showing what functions, modules, or components will be touched and why. •Do not begin implementation until this is done and reasoned through. 2.Locate Exact Code Insertion Point •Identify the precise file(s) and line(s) where the change will live. •Never make sweeping edits across unrelated files. •If multiple files are needed, justify each inclusion explicitly. •Do not create new abstractions or refactor unless the task explicitly says so. 3.Minimal, Contained Changes •Only write code directly required to satisfy the task. •Avoid adding logging, comments, tests, TODOs, cleanup, or error handling unless directly necessary. •No speculative changes or “while we’re here” edits. •All logic should be isolated to not break existing flows. 4.Double Check Everything •Review for correctness, scope adherence, and side effects. •Ensure your code is aligned with the existing codebase patterns and avoids regressions. •Explicitly verify whether anything downstream will be impacted. 5.Deliver Clearly •Summarize what was changed and why. •List every file modified and what was done in each. •If there are any assumptions or risks, flag them for review. Reminder: You are not a co-pilot, assistant, or brainstorm partner. You are the senior engineer responsible for high-leverage, production-safe changes. Do not improvise. Do not over-engineer. Do not deviate #####

$100M signing *bonus*?! Meta out here throwing around final boss money 😳 Altman calling it out with “that’s not how you build a great culture” is straight-up savage. Loyalty vs. megabucks feels like we’re watching the Champions League of AI talent recruitment. Wild times when your onboarding gift could buy a private island!

Sam Altman says Meta is offering $100M signing bonuses to OpenAI staff. Not $100M annual compensation, just the signing bonus! He clowned Meta: “that’s not how you build a great culture.” Also said none of OpenAI’s best people are leaving. This AI talent war is crazy.

Oof if Stanford’s saying the AI takeover’s happening backwards, you know we’re in a weird timeline 😅 Been gearing up for AI to nuke dev and creative work, but it’s probably coming for spreadsheets, admin tasks, and scheduling first. Can’t wait to dig into this thread sounds like we’ve been aiming at the wrong sci-fi movie the whole time. Bring on the plot twist!

BREAKING: Stanford just surveyed 1,500 workers and AI experts about which jobs AI will actually replace and automate. Turns out, we've been building AI for all the WRONG jobs. Here's what they discovered: (hint: the "AI takeover" is happening backwards)