[Our AI Business Services] — [Advertise with Us!]
Happy Friday, Team. A bombshell report based on 200+ interviews with U.S. federal workers just dropped, and the truth about DOGE is grim, chaotic, and disturbing.
If you’re not using Agent Mode in ChatGPT yet, now’s the time. We’ll show you how to get started. Plus, our Vibe Coded App of the Week, Must-try AI tools, and New guides to help you move faster and think smarter. Let’s dive in and stay curious.
Are you using Agent Mode in ChatGPT?
AI Tools — Vibe Coding
AI Vibe App of the Week
AI Guides
The Grim and Chaotic Story of DOGE
📰 AI News and Trends
Perplexity has introduced the Perplexity Search API, providing access to the same global-scale infrastructure that powers Perplexity’s public answer engine
ChatGPT Pulse is a new feature for Pro users on mobile that proactively delivers personalized research and updates via visual cards based on user chats, preferences, and connected apps.
Musk’s xAI sues OpenAI, alleging theft of trade secrets
Spotify to label AI music, filter spam, and more in AI policy change. Still, Hallwood Media signed a $3 million contract with an upcoming R&B artist named Xania Monet, who is mostly AI-generated; this is just the beginning.
🌐 Other Tech news
The long wait over TikTok’s fate in the US is nearly done. An executive order approving a consortium of buyers to take over an American version was signed, valuing that version at a shockingly low $14 billion
Amazon is paying $2.5 billion to the FTC to settle a lawsuit alleging the company tricked people into signing up for Prime.
Threads has officially passed X in daily active users — 130.2 million
Meta is rolling out its Teen Accounts feature on Facebook and WhatsApp to users globally, following a successful test in a handful of countries.
Refer a friend
Are you using Agent Mode in ChatGPT?
Definitely try it if you haven’t. You will want to after reading this.
It lets you automate complex, multi-step tasks by delegating them to “AI agents” — each with a defined role and behavior. Think of it as having a team of AI assistants that can:
✅ What You Can Do in Agent Mode
Multi-Agent Collaboration
Create agents with specific roles like:
Researcher → Gathers info from the web or files
Writer → Summarizes or generates content
Analyst → Reviews data, runs calculations
Builder → Generates code, APIs, or workflows
They can talk to each other and pass results down a chain.
Real-Time Web + File Search
Automatically search the web for current data (if browsing is enabled).
Use tools like file_search to extract insights from your uploaded files or synced cloud drives.
Use Memory + Context
Agents remember their own role and goals.
They can share context and build on each other’s outputs in a chain of reasoning.
Automate Complex Workflows
Examples:
Investor Briefing Agent: Scrapes Crunchbase, analyzes top startups, and creates a one-pager.
Newsletter Builder: Gathers AI news, filters for relevance, and outputs summaries.
Startup Validator: Reviews your idea, does market research, checks domain availability, and suggests a GTM plan.
Leave a comment
What we are reading:
Career creator for those building a life without a blueprint. Every Monday morning, I send out First Things First, a weekly guide to staying present, productive, and purposeful.
Discover how to differentiate your firm. Get our “7 Positioning Sins That Cost Consultancy Firms Millions“ guide when you join. It’s free, join 10,000+ consultancy executives
AI Vibe App of the Week
I was in San Diego earlier this week and joined a Vibe Coding event where everyone had to create a web app within a couple of hours with the guidance of experts. I have done this before, but nothing like getting help from individuals with more experience, and hearing what others are building and how they are using the technology.
I created a simple vibe app that allows users to upload an image, short video, or activate the camera to get an image. Once you upload an image, the application analyzes it and gives you the vibe of the image as one of happiness, worry, sadness, or the emotional vibe that it captures. Simple, but my goal was to find out if I could implement computer vision in an app that was vibe-coded.
Concept: Use computer vision + audio + NLP to analyze group “vibe” in real time (mood, energy level, engagement).
Stack: OpenCV, Whisper, GPT-4o, sentiment APIs
Link: https://moodspark-analyzer.lovable.app/
Tool used: Lovable and Supabase.
Share Yaro on AI and Tech Trends | Your Top AI Newsletter
🧰 AI Tools of The Day
Vibe Coding
Platform | General Rating /10 | Best For | Free Tier | Notable Strengths
Cursor — 9.5. | Serious projects, pro devs. | No | Professional, deep customization
Lovable — 9.1 | Non-coders, quick launches | Yes | Point-and-click, iterations
Bolt.new — 9.0 | Beginners | Yes | Zero setup, Figma integration
Windsurf — 8.8 — Advanced prototyping | Yes | Agentic task completion, scalability
Replit — 8.7 | Collaborative coding | Yes | Real-time, prompt-to-deploy
The Grim and Chaotic Story of DOGE
This is the result of interviews with 200+ federal workers across dozens of agencies, leading to documenting the upheaval caused by the Department of Government Efficiency (DOGE), a Trump‑era project fronted by Elon Musk.
Massive Workforce Cuts: The U.S. government is on track to end 2025 with 300,000 fewer employees (≈1 in 8 federal workers) due to DOGE “voluntary” exit incentives and abrupt layoffs, including the infamous “Valentine’s Day Massacre.”
Silicon Valley Ethos in D.C.: DOGE was meant to “modernize” government tech, but instead imported Twitter‑style chaos — emails demanding loyalty or resignation, “what did you do last week” reports, and young, underqualified operatives running critical systems.
Hostile Work Conditions: Agencies faced spending freezes so severe that FEMA staff had to bring their own toilet paper for five months. Armed, unidentified “Homeland Security” officers patrolled offices to “desensitize” workers to their presence.
Immigration & Surveillance: DOGE built a master database tracking immigrants while granting exceptions to white South Africans, raising discrimination concerns. Sensitive beneficiary data was accessed without traditional safeguards.
Agency Takeovers: DOGE operatives gained control of social media accounts, fired boards (like at the U.S. Institute of Peace), shut down grants for libraries and museums, and recalled AmeriCorps volunteers mid‑fieldwork.
Employee Trauma: Workers described the experience as a “5‑alarm fire” and “constitutional crisis.” Many sought therapy or medication for the first time in their careers.
Although Musk left DOGE by June 2025, his protégés remain embedded across the federal government. The result is a weakened, demoralized civil service and the lingering risk of private takeovers of public functions.
Share
🧰 AI Guides
🧨The Grim and Chaotic Story of DOGE was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story[Our AI Business Services] — [Advertise with Us!]
Happy Friday, Team. A bombshell report based on 200+ interviews with U.S. federal workers just dropped, and the truth about DOGE is grim, chaotic, and disturbing.
If you’re not using Agent Mode in ChatGPT yet, now’s the time. We’ll show you how to get started. Plus, our Vibe Coded App of the Week, Must-try AI tools, and New guides to help you move faster and think smarter. Let’s dive in and stay curious.
Are you using Agent Mode in ChatGPT?
AI Tools — Vibe Coding
AI Vibe App of the Week
AI Guides
The Grim and Chaotic Story of DOGE
📰 AI News and Trends
Perplexity has introduced the Perplexity Search API, providing access to the same global-scale infrastructure that powers Perplexity’s public answer engine
ChatGPT Pulse is a new feature for Pro users on mobile that proactively delivers personalized research and updates via visual cards based on user chats, preferences, and connected apps.
Musk’s xAI sues OpenAI, alleging theft of trade secrets
Spotify to label AI music, filter spam, and more in AI policy change. Still, Hallwood Media signed a $3 million contract with an upcoming R&B artist named Xania Monet, who is mostly AI-generated; this is just the beginning.
🌐 Other Tech news
The long wait over TikTok’s fate in the US is nearly done. An executive order approving a consortium of buyers to take over an American version was signed, valuing that version at a shockingly low $14 billion
Amazon is paying $2.5 billion to the FTC to settle a lawsuit alleging the company tricked people into signing up for Prime.
Threads has officially passed X in daily active users — 130.2 million
Meta is rolling out its Teen Accounts feature on Facebook and WhatsApp to users globally, following a successful test in a handful of countries.
Refer a friend
Are you using Agent Mode in ChatGPT?
Definitely try it if you haven’t. You will want to after reading this.
It lets you automate complex, multi-step tasks by delegating them to “AI agents” — each with a defined role and behavior. Think of it as having a team of AI assistants that can:
✅ What You Can Do in Agent Mode
Multi-Agent Collaboration
Create agents with specific roles like:
Researcher → Gathers info from the web or files
Writer → Summarizes or generates content
Analyst → Reviews data, runs calculations
Builder → Generates code, APIs, or workflows
They can talk to each other and pass results down a chain.
Real-Time Web + File Search
Automatically search the web for current data (if browsing is enabled).
Use tools like file_search to extract insights from your uploaded files or synced cloud drives.
Use Memory + Context
Agents remember their own role and goals.
They can share context and build on each other’s outputs in a chain of reasoning.
Automate Complex Workflows
Examples:
Investor Briefing Agent: Scrapes Crunchbase, analyzes top startups, and creates a one-pager.
Newsletter Builder: Gathers AI news, filters for relevance, and outputs summaries.
Startup Validator: Reviews your idea, does market research, checks domain availability, and suggests a GTM plan.
Leave a comment
What we are reading:
Career creator for those building a life without a blueprint. Every Monday morning, I send out First Things First, a weekly guide to staying present, productive, and purposeful.
Discover how to differentiate your firm. Get our “7 Positioning Sins That Cost Consultancy Firms Millions“ guide when you join. It’s free, join 10,000+ consultancy executives
AI Vibe App of the Week
I was in San Diego earlier this week and joined a Vibe Coding event where everyone had to create a web app within a couple of hours with the guidance of experts. I have done this before, but nothing like getting help from individuals with more experience, and hearing what others are building and how they are using the technology.
I created a simple vibe app that allows users to upload an image, short video, or activate the camera to get an image. Once you upload an image, the application analyzes it and gives you the vibe of the image as one of happiness, worry, sadness, or the emotional vibe that it captures. Simple, but my goal was to find out if I could implement computer vision in an app that was vibe-coded.
Concept: Use computer vision + audio + NLP to analyze group “vibe” in real time (mood, energy level, engagement).
Stack: OpenCV, Whisper, GPT-4o, sentiment APIs
Link: https://moodspark-analyzer.lovable.app/
Tool used: Lovable and Supabase.
Share Yaro on AI and Tech Trends | Your Top AI Newsletter
🧰 AI Tools of The Day
Vibe Coding
Platform | General Rating /10 | Best For | Free Tier | Notable Strengths
Cursor — 9.5. | Serious projects, pro devs. | No | Professional, deep customization
Lovable — 9.1 | Non-coders, quick launches | Yes | Point-and-click, iterations
Bolt.new — 9.0 | Beginners | Yes | Zero setup, Figma integration
Windsurf — 8.8 — Advanced prototyping | Yes | Agentic task completion, scalability
Replit — 8.7 | Collaborative coding | Yes | Real-time, prompt-to-deploy
The Grim and Chaotic Story of DOGE
This is the result of interviews with 200+ federal workers across dozens of agencies, leading to documenting the upheaval caused by the Department of Government Efficiency (DOGE), a Trump‑era project fronted by Elon Musk.
Massive Workforce Cuts: The U.S. government is on track to end 2025 with 300,000 fewer employees (≈1 in 8 federal workers) due to DOGE “voluntary” exit incentives and abrupt layoffs, including the infamous “Valentine’s Day Massacre.”
Silicon Valley Ethos in D.C.: DOGE was meant to “modernize” government tech, but instead imported Twitter‑style chaos — emails demanding loyalty or resignation, “what did you do last week” reports, and young, underqualified operatives running critical systems.
Hostile Work Conditions: Agencies faced spending freezes so severe that FEMA staff had to bring their own toilet paper for five months. Armed, unidentified “Homeland Security” officers patrolled offices to “desensitize” workers to their presence.
Immigration & Surveillance: DOGE built a master database tracking immigrants while granting exceptions to white South Africans, raising discrimination concerns. Sensitive beneficiary data was accessed without traditional safeguards.
Agency Takeovers: DOGE operatives gained control of social media accounts, fired boards (like at the U.S. Institute of Peace), shut down grants for libraries and museums, and recalled AmeriCorps volunteers mid‑fieldwork.
Employee Trauma: Workers described the experience as a “5‑alarm fire” and “constitutional crisis.” Many sought therapy or medication for the first time in their careers.
Although Musk left DOGE by June 2025, his protégés remain embedded across the federal government. The result is a weakened, demoralized civil service and the lingering risk of private takeovers of public functions.
Share
🧰 AI Guides
🧨The Grim and Chaotic Story of DOGE was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story
[Our AI Business Services] — [Advertise with Us!]
Happy Friday, Team. A bombshell report based on 200+ interviews with U.S. federal workers just dropped, and the truth about DOGE is grim, chaotic, and disturbing.
If you’re not using Agent Mode in ChatGPT yet, now’s the time. We’ll show you how to get started. Plus, our Vibe Coded App of the Week, Must-try AI tools, and New guides to help you move faster and think smarter. Let’s dive in and stay curious.
- Are you using Agent Mode in ChatGPT?
- AI Tools — Vibe Coding
- AI Vibe App of the Week
- AI Guides
- The Grim and Chaotic Story of DOGE
📰 AI News and Trends
- Perplexity has introduced the Perplexity Search API, providing access to the same global-scale infrastructure that powers Perplexity’s public answer engine
- ChatGPT Pulse is a new feature for Pro users on mobile that proactively delivers personalized research and updates via visual cards based on user chats, preferences, and connected apps.
- Musk’s xAI sues OpenAI, alleging theft of trade secrets
- Spotify to label AI music, filter spam, and more in AI policy change. Still, Hallwood Media signed a $3 million contract with an upcoming R&B artist named Xania Monet, who is mostly AI-generated; this is just the beginning.
🌐 Other Tech news
- The long wait over TikTok’s fate in the US is nearly done. An executive order approving a consortium of buyers to take over an American version was signed, valuing that version at a shockingly low $14 billion
- Amazon is paying $2.5 billion to the FTC to settle a lawsuit alleging the company tricked people into signing up for Prime.
- Threads has officially passed X in daily active users — 130.2 million
- Meta is rolling out its Teen Accounts feature on Facebook and WhatsApp to users globally, following a successful test in a handful of countries.
Refer a friend
Are you using Agent Mode in ChatGPT?
Definitely try it if you haven’t. You will want to after reading this.
It lets you automate complex, multi-step tasks by delegating them to “AI agents” — each with a defined role and behavior. Think of it as having a team of AI assistants that can:
✅ What You Can Do in Agent Mode
Multi-Agent Collaboration
- Create agents with specific roles like:
- Researcher → Gathers info from the web or files
- Writer → Summarizes or generates content
- Analyst → Reviews data, runs calculations
- Builder → Generates code, APIs, or workflows
- They can talk to each other and pass results down a chain.
Real-Time Web + File Search
- Automatically search the web for current data (if browsing is enabled).
- Use tools like file_search to extract insights from your uploaded files or synced cloud drives.
Use Memory + Context
- Agents remember their own role and goals.
- They can share context and build on each other’s outputs in a chain of reasoning.
Automate Complex Workflows
Examples:
- Investor Briefing Agent: Scrapes Crunchbase, analyzes top startups, and creates a one-pager.
- Newsletter Builder: Gathers AI news, filters for relevance, and outputs summaries.
- Startup Validator: Reviews your idea, does market research, checks domain availability, and suggests a GTM plan.
Leave a comment
What we are reading:
- Career creator for those building a life without a blueprint. Every Monday morning, I send out First Things First, a weekly guide to staying present, productive, and purposeful.
- Discover how to differentiate your firm. Get our “7 Positioning Sins That Cost Consultancy Firms Millions“ guide when you join. It’s free, join 10,000+ consultancy executives
AI Vibe App of the Week
I was in San Diego earlier this week and joined a Vibe Coding event where everyone had to create a web app within a couple of hours with the guidance of experts. I have done this before, but nothing like getting help from individuals with more experience, and hearing what others are building and how they are using the technology.
I created a simple vibe app that allows users to upload an image, short video, or activate the camera to get an image. Once you upload an image, the application analyzes it and gives you the vibe of the image as one of happiness, worry, sadness, or the emotional vibe that it captures. Simple, but my goal was to find out if I could implement computer vision in an app that was vibe-coded.
Concept: Use computer vision + audio + NLP to analyze group “vibe” in real time (mood, energy level, engagement).
- Stack: OpenCV, Whisper, GPT-4o, sentiment APIs
- Link: https://moodspark-analyzer.lovable.app/
- Tool used: Lovable and Supabase.
Share Yaro on AI and Tech Trends | Your Top AI Newsletter
🧰 AI Tools of The Day
Vibe Coding
Platform | General Rating /10 | Best For | Free Tier | Notable Strengths
- Cursor — 9.5. | Serious projects, pro devs. | No | Professional, deep customization
- Lovable — 9.1 | Non-coders, quick launches | Yes | Point-and-click, iterations
- Bolt.new — 9.0 | Beginners | Yes | Zero setup, Figma integration
- Windsurf — 8.8 — Advanced prototyping | Yes | Agentic task completion, scalability
- Replit — 8.7 | Collaborative coding | Yes | Real-time, prompt-to-deploy
The Grim and Chaotic Story of DOGE
This is the result of interviews with 200+ federal workers across dozens of agencies, leading to documenting the upheaval caused by the Department of Government Efficiency (DOGE), a Trump‑era project fronted by Elon Musk.
- Massive Workforce Cuts: The U.S. government is on track to end 2025 with 300,000 fewer employees (≈1 in 8 federal workers) due to DOGE “voluntary” exit incentives and abrupt layoffs, including the infamous “Valentine’s Day Massacre.”
- Silicon Valley Ethos in D.C.: DOGE was meant to “modernize” government tech, but instead imported Twitter‑style chaos — emails demanding loyalty or resignation, “what did you do last week” reports, and young, underqualified operatives running critical systems.
- Hostile Work Conditions: Agencies faced spending freezes so severe that FEMA staff had to bring their own toilet paper for five months. Armed, unidentified “Homeland Security” officers patrolled offices to “desensitize” workers to their presence.
- Immigration & Surveillance: DOGE built a master database tracking immigrants while granting exceptions to white South Africans, raising discrimination concerns. Sensitive beneficiary data was accessed without traditional safeguards.
- Agency Takeovers: DOGE operatives gained control of social media accounts, fired boards (like at the U.S. Institute of Peace), shut down grants for libraries and museums, and recalled AmeriCorps volunteers mid‑fieldwork.
- Employee Trauma: Workers described the experience as a “5‑alarm fire” and “constitutional crisis.” Many sought therapy or medication for the first time in their careers.
Although Musk left DOGE by June 2025, his protégés remain embedded across the federal government. The result is a weakened, demoralized civil service and the lingering risk of private takeovers of public functions.
Share
🧰 AI Guides
🧨The Grim and Chaotic Story of DOGE was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact
crypto.news@mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.
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Facts Vs. Hype: Analyst Examines XRP Supply Shock Theory
Prominent analyst Cheeky Crypto (203,000 followers on YouTube) set out to verify a fast-spreading claim that XRP’s circulating supply could “vanish overnight,” and his conclusion is more nuanced than the headline suggests: nothing in the ledger disappears, but the amount of XRP that is truly liquid could be far smaller than most dashboards imply—small enough, in his view, to set the stage for an abrupt liquidity squeeze if demand spikes. XRP Supply Shock? The video opens with the host acknowledging his own skepticism—“I woke up to a rumor that XRP supply could vanish overnight. Sounds crazy, right?”—before committing to test the thesis rather than dismiss it. He frames the exercise as an attempt to reconcile a long-standing critique (“XRP’s supply is too large for high prices”) with a rival view taking hold among prominent community voices: that much of the supply counted as “circulating” is effectively unavailable to trade. His first step is a straightforward data check. Pulling public figures, he finds CoinMarketCap showing roughly 59.6 billion XRP as circulating, while XRPScan reports about 64.7 billion. The divergence prompts what becomes the video’s key methodological point: different sources count “circulating” differently. Related Reading: Analyst Sounds Major XRP Warning: Last Chance To Get In As Accumulation Balloons As he explains it, the higher on-ledger number likely includes balances that aggregators exclude or treat as restricted, most notably Ripple’s programmatic escrow. He highlights that Ripple still “holds a chunk of XRP in escrow, about 35.3 billion XRP locked up across multiple wallets, with a nominal schedule of up to 1 billion released per month and unused portions commonly re-escrowed. Those coins exist and are accounted for on-ledger, but “they aren’t actually sitting on exchanges” and are not immediately available to buyers. In his words, “for all intents and purposes, that escrow stash is effectively off of the market.” From there, the analysis moves from headline “circulating supply” to the subtler concept of effective float. Beyond escrow, he argues that large strategic holders—banks, fintechs, or other whales—may sit on material balances without supplying order books. When you strip out escrow and these non-selling stashes, he says, “the effective circulating supply… is actually way smaller than the 59 or even 64 billion figure.” He cites community estimates in the “20 or 30 billion” range for what might be truly liquid at any given moment, while emphasizing that nobody has a precise number. That effective-float framing underpins the crux of his thesis: a potential supply shock if demand accelerates faster than fresh sell-side supply appears. “Price is a dance between supply and demand,” he says; if institutional or sovereign-scale users suddenly need XRP and “the market finds that there isn’t enough XRP readily available,” order books could thin out and prices could “shoot on up, sometimes violently.” His phrase “circulating supply could collapse overnight” is presented not as a claim that tokens are destroyed or removed from the ledger, but as a market-structure scenario in which available inventory to sell dries up quickly because holders won’t part with it. How Could The XRP Supply Shock Happen? On the demand side, he anchors the hypothetical to tokenization. He points to the “very early stages of something huge in finance”—on-chain tokenization of debt, stablecoins, CBDCs and even gold—and argues the XRP Ledger aims to be “the settlement layer” for those assets.He references Ripple CTO David Schwartz’s earlier comments about an XRPL pivot toward tokenized assets and notes that an institutional research shop (Bitwise) has framed XRP as a way to play the tokenization theme. In his construction, if “trillions of dollars in value” begin settling across XRPL rails, working inventories of XRP for bridging, liquidity and settlement could rise sharply, tightening effective float. Related Reading: XRP Bearish Signal: Whales Offload $486 Million In Asset To illustrate, he offers two analogies. First, the “concert tickets” model: you think there are 100,000 tickets (100B supply), but 50,000 are held by the promoter (escrow) and 30,000 by corporate buyers (whales), leaving only 20,000 for the public; if a million people want in, prices explode. Second, a comparison to Bitcoin’s halving: while XRP has no programmatic halving, he proposes that a sudden adoption wave could function like a de facto halving of available supply—“XRP’s version of a halving could actually be the adoption event.” He also updates the narrative context that long dogged XRP. Once derided for “too much supply,” he argues the script has “totally flipped.” He cites the current cycle’s optics—“XRP is sitting above $3 with a market cap north of around $180 billion”—as evidence that raw supply counts did not cap price as tightly as critics claimed, and as a backdrop for why a scarcity narrative is gaining traction. Still, he declines to publish targets or timelines, repeatedly stressing uncertainty and risk. “I’m not a financial adviser… cryptocurrencies are highly volatile,” he reminds viewers, adding that tokenization could take off “on some other platform,” unfold more slowly than enthusiasts expect, or fail to get to “sudden shock” scale. The verdict he offers is deliberately bound. The theory that “XRP supply could vanish overnight” is imprecise on its face; the ledger will not erase coins. But after examining dashboard methodologies, escrow mechanics and the behavior of large holders, he concludes that the effective float could be meaningfully smaller than headline supply figures, and that a fast-developing tokenization use case could, under the right conditions, stress that float. “Overnight is a dramatic way to put it,” he concedes. “The change could actually be very sudden when it comes.” At press time, XRP traded at $3.0198. Featured image created with DALL.E, chart from TradingView.com