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How it feels starting on yet another idea this week 🤣🤷🏼♂️
If I abandon this project, I would be a man without dreams, and I don't want to live like that
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A startup is a young company founded by entrepreneurs to develop a unique, innovative product or service, aiming for rapid growth and scalability, often with high risk and initial losses. These businesses frequently rely on external funding (venture capital) and aim to disrupt existing markets or create new ones.
It looks like a small, incandescent bulb, designed to indicate something out of the ordinary,...
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Follow @itsfinancialeducator for more educational content daily.
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Stop adding numbers to your UI A common mistake I see on interfaces is just showing raw numbers. Instead I suggest adding insights to save users time and make your UI meaningful Hope this helps for your next project
numbers to your UI I'm going to share why instead of adding numbers you should focus on insights...
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Coinbase CEO Explains “Reverse Prompting” and the Rise of the AI CEO Jason: “Talk to me about knowledge workers and what you're seeing with your most AI first employees.” Brian Armstrong: “One of the big pushes we made in the last year was we got our own internal hosted AI model that was connected to all of our data sources, right?” “So it's like every Slack message, every Google doc, Salesforce data, Confluence, you know.” “So now the data is all aggregated and I've started to ask it really… it's not just like prompting it, ‘Hey, can you write this kind of memo for me,’ or something.” “I'm asking these AI agents now, ‘As CEO, what should I be aware of in the company that I might not be aware of?’ And it'll tell me, ‘Did you know that there's actually disagreement on this team about the strategy?’ And I was like, actually, I didn't know that.” “This is like reverse prompting. So instead of telling the AI agent what you want it to do, you ask it what you should be thinking more about.” Jason: “It's a mentor. It's a coach.” Brian: “Yeah. Like, what could make me a better CEO? And it's like, ‘Well, I looked at how you spent your time in the last quarter and here's how you said that you wanted to spend it, but you actually spent 32% of your time on this instead of 20%.’” “I've asked it other questions like, ‘What's the thing that I changed my mind on the most over the last year?’ Things like that.” “It'll prompt you with information you should be thinking about instead of the other way around.” Thanks to our partner for making this happen!: Our episode is sponsored by the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the @nyse. https://www.nyse.com
Talk to me about knowledge workers and what you're seeing with your most AI-first employees
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How to design your queues so they actually hit your SLAs. We go over two guiding principles: queue by SLA and sizing with Little’s Law. Save this for the next time you’re looking at your queues! #software #programming #coding #tech
Your slow queue isn't a Redis problem, it's a math problem
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Here’s how to actually present a vibe coded solution in an interview
Here's how to present a vibe coded project in an interview without embarrassing yourself
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Software stocks are being mispriced, Anish Acharya told CNBC, calling the sector “absolutely oversold.” #Software #Stocks #AI #CNBC
I think the markets are oversold software, absolutely oversold
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Some of these new features in Claude code are slipping through the cracks Agent teams is a new experimental feature that you can enable in your settings Im noticing that Im getting results for complex tasks much faster than plan mode which has been my goto for debugging claudecode aicoding vibecoding aitips aiagents
You can now spin up an agent team in Claude code
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Comment “agent” for free Claude code guides AND 100+ n8n templates
Everyone's losing their minds about Opus 4
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Claude code team has Made skill called as Playground . #artificialintelligence #coding #learnai #claude #chatgpt
To set it up just run plug-in marketplace update Claude plugins official and then plug-in install...
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Agent Swarm unlocks parallel problem-solving. Open source offers a clear shot against closed source. Is this the winning move? #OpenSource #AgentSwarm #AIInnovation #TechTrends #FutureOfAI #AICommunity
This week, you wake up, you go to the office and Kimi K 2
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1-bit LLMs: The Engineering of Microsoft’s BitNet.cpp 📉💻 The release of BitNet.cpp by Microsoft Research marks a paradigm shift in the Software Development Life Cycle (SDLC) for AI. By moving away from high-precision floating-point math to 1-bit (Ternary) weights, we are seeing the end of the "Memory Wall" for local LLM inference. The Mechatronics of 1-bit Inference How does BitNet.cpp allow large models to run on a standard CPU with 10x the efficiency? Ternary Weight Representation: BitNet uses weights restricted to {−1,0,1}. This replaces energy-intensive Floating-Point Matrix Multiplication (MatMul) with simple Integer Addition and Subtraction. This effectively slashes the computational cost per token by orders of magnitude. CPU-Centric Acceleration: BitNet.cpp is optimized for x86 and ARM architectures. By eliminating the need for high-end GPUs, Microsoft has democratized "Local Intelligence," allowing 7B+ parameter models to run at high tokens-per-second on a standard laptop or even a mobile device. Energy-Efficiency and Thermal Headroom: Because the system performs fewer complex floating-point operations, it generates significantly less heat. This is a game-changer for Edge AI and robotics, where thermal throttling often limits the duration of "always-on" reasoning. Lossless Scaling: Despite the extreme quantization, Microsoft’s research shows that as BitNet models scale in size, they maintain a performance profile nearly identical to their full-precision counterparts, proving that Precision ≠ Intelligence. The 2026 Shift: Local-First AI We are entering the era of Deterministic Local Inference. BitNet.cpp proves that the future of AI isn't just about "more compute," but about Architectural Efficiency that respects the hardware limits of the edge. The Engineering Question: In the race for efficient AI, which is more critical: Developing 1-bit hardware accelerators (ASICs) or Perfecting the Training Algorithms that allow these low-precision models to retain complex reasoning? 👇 ⚠️ This content is shared for educational and informational purposes only. It does not contain any sponsored deals, advertising, or commercial intent. Credit to Microsoft
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Claude fast mode proves AI roi is real
Anthropic is charging $225 per million tokens with Opus 4
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SaaS Is NOT Dead But Its Getting A New Workspace allinpodcast saas ai future podcastseries
Here's where I think the greatest threat is to the SaaS companies
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Unlock Claude Code locally and ditch the compliance nightmare Never let your code leave the building httpswwwyoutubecomwatchv62SS7c7BAso AI Ollama LocalAI ClaudeCode Compliance Privacy Innovation
Every time you use a cloud code, your source code, your client IP, your proprietary logic, your...
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Best way to audit your codebases vibecoding codebase
If you use Cloud Code, here is the number one way in order to do a comprehensive audit of your...
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Unlock Claude Code locally and ditch the compliance nightmare Never let your code leave the building httpswwwyoutubecomwatchv62SS7c7BAso AI Ollama LocalAI ClaudeCode Compliance Privacy Innovation
Every time you use a cloud code, your source code, your client IP, your proprietary logic, your...
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