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- 👨🏻💻 AI As A Service for Freelancers
Plus: AI Takes Over CFO JDs
Read time: 5 minutes
A new AI trend is emerging—tools for deep (re)search. The latest player? Google's AI Co-Scientist, joining the race alongside OpenAI, DeepSeek, and Perplexity.
What are on FIRE 🔥
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AI INSIGHTS
🚨 DeepSeek-R1 1776: The First Fully Open, Uncensored LLM
For the first time, an open-weight AI model has been post-trained to remove censorship—DeepSeek-R1 1776. Unlike standard LLMs, this model doesn’t dodge sensitive topics. Instead, it provides fact-based, logical responses across geopolitics, history, and economics.
Key Takeaways:
✅ Fully Open-Source, No Censorship – R1 1776 was specifically trained to remove CCP-imposed restrictions, making it one of the first AI models capable of unrestricted discussions.
✅ Trained on 40,000 Multilingual Prompts – Expert-curated datasets target censored topics, ensuring the model can handle complex global conversations.
✅ Fact-Based Reasoning at Its Core – No bias, no dodging. Just logical, well-reasoned answers without losing performance.
✅ Tested & Verified – Human and AI evaluations confirm its ability to answer sensitive questions accurately, without compromising math, logic, or general reasoning benchmarks.
Why it matters: DeepSeek-R1 1776 is one of the most transparent, censorship-free AI models released to date. Its ability to answer politically sensitive, factual, and complex questions with logical reasoning makes it a game-changer for researchers, journalists, and open AI enthusiasts. However, its real impact will depend on how it’s used, how governments react, and how AI communities build on it.
This is a massive leap for AI transparency. While most AI models avoid controversial discussions, R1 1776 is built to engage with them head-on. The question is—who else will follow?
TODAY IN AI
AI HIGHLIGHTS
🤖 Google built an AI lab assistant to help scientists generate hypotheses faster. It mimics the research process, suggests new ideas, and even matches a peer-reviewed breakthrough in days instead of years.
💼 Fiverr is letting freelancers train AI on their work and sell AI-generated services. The "Personal AI Creation Model" costs $25/month, and top freelancers get early access.
⚠️ OpenAI might use a "Poison Pill" to block Musk. OpenAI is exploring a poison pill strategy to make a hostile takeover too costly for outsiders like Musk. This move could protect its nonprofit board's control, even after shifting to a for-profit model. No final decision yet.
📈 Nvidia’s stock nearly recovered from its $600B drop after DeepSeek's AI launch. More good news? South Korea plans to buy 10,000 Nvidia GPUs, and cloud GPU rental prices remain strong—a sign of high demand.
🤔 Mira Murati’s Thinking Machines Lab is taking a stand for open science—unlike OpenAI, it will publish research, datasets, and model specs. This move could shift AI back toward open-source innovation.
💻 The SWE-Lancer benchmark tests AI on 1,400 real freelance coding tasks from Upwork, worth $1M total. Results? Current AI models still struggle with most tasks. To push research forward, SWE-Lancer open-sourced key tools for future testing.
🎮 Microsoft’s AI Can Now Build Game Worlds in Real Time. Microsoft’s Muse AI learns from 7 years of gameplay data to create dynamic 3D game environments.
DAILY AI FUNDRAISING
AI cloud startup Lambda secured $480M in Series D funding, bringing total equity raised to $863M. Backed by Nvidia, it operates 25,000+ GPUs, powering AI model training, deployment, and open-source AI growth.
AI SOURCES FROM AI FIRE
NEW EMPOWERED AI TOOLS
💬 Tanka AI Messenger with smart replies and team memory
🛠️ Webdraw Beta lets you build and remix AI apps with 50 models
📊 Upsolve AI embeds business intelligence into your app
🔄 Bit Flows is a Zapier alternative for WordPress automation
🤖 Andsend AI agent finds opportunities and sends smart messages
AI QUICK HITS
🔥 AI Transforms Abandoned Factory into 200,000-GPU Powerhouse in Over 7 Months (Link)
💬 Google Meet Now Lets You Scroll Captions Up to 30 Min (Link)
📸 Google Lens Can Now Explain Images, Even Rare Ones (Link)
🎮 Elon Musk Launches xAI’s New Gaming Studio (Link)
📱 Apple’s New iPhone 16e Brings AI Power at a Lower Price (Link)
AI CHART
Some early numbers on AI in the CFO world:
27% of CFO job listings now mention AI. Last year? Only 8%.
For financial analysts, it’s even higher - 35% of job posts now require AI skills, up from 14% last year (according to the report).
Salesforce just made a whole new role for this - COFO (Chief Operating and Financial Officer). Robin Washington is stepping in to scale AI automation across the company.
97% of CEOs plan to integrate AI (Cisco study).
92% of companies plan to increase AI investments over the next 3 years (McKinsey study).
CEO Marc Benioff says AI is redefining the workforce, and Washington will help scale AI-driven automation.
CFOs are working closely with CISOs (Chief Information Security Officers) to strengthen AI security. The goal? Reduce cyber risks tied to AI adoption in financial operations
Why This Matters
AI isn’t optional anymore—CFOs who don’t adapt risk being replaced. Companies want AI-savvy finance leaders who can optimize operations, manage risks, and drive automation.
Now here’s the issue: AI isn’t just a tool—it’s reshaping the CFO role entirely. Companies want finance leaders who understand AI, integrate it, and use it to make better decisions.
Some CFOs are even being put in charge of AI strategy across their companies. Those who don’t adapt? They’ll be left behind.
AI JOBS
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The AI Fire Team
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