The Rise of Disposable Software in the Age of AI

Artificial Intelligence has made it easier than ever to generate functional software in minutes. This speed and affordability have shifted the software landscape, making many apps and tools effectively disposable. Need a calculator tailored for your niche workflow? AI can spin it up in seconds. Want a customer feedback tool with specific branding? Done by lunch.

The result is a shift in the value proposition of software. Instead of investing heavily in monolithic systems, teams can iterate rapidly, discard what doesn’t work, and spin up alternatives with minimal cost. The anchoring value of software—how essential or long-lasting it feels—has dropped. We now build for the moment, not the decade.

This disposability isn't about waste; it's about agility. Software is becoming less of a product and more of a transient solution. For developers and businesses, the challenge is no longer just writing code, but making the right code at the right time, then knowing when to let it go.

ChatGPT Agent vs. ChatGPT Connector: Who Wins the Outlook Email Search Showdown?

I ran a real-world test to see which ChatGPT tool could deliver better insights from my Outlook account a deep research connector or the new agent feature. The task? Find every conversation related to AI or training from the past six months. Capture each contact’s name, title, last message date, and a summary. **First up: ChatGPT Connector using Deep Research** This approach tried to use an API-like method to extract content from your inbox. It failed. Why? Deep Research, while powerful for web research, isn’t optimized for structured email search. It likely ran into permission issues, API throttling, or simply lacked the depth to interact with your mailbox accurately. **Next: ChatGPT Agent using an Embedded Browser** This version mimicked how a human would search. You logged into Outlook inside a secure browser session within ChatGPT. The agent scrolled, searched, and analyzed content in real time—just like a human assistant. And it worked beautifully. **The Results** The agent gave me a clean list of contacts with last interaction dates and summaries. Essentially, it built a mini-CRM out of my mailbox in minutes. **The Verdict** Deep Research fell short due to system limitations and design intent. The agent triumphed thanks to direct, browser-based access. The human-like approach wins when APIs can’t keep up.

Nexus of Mind: Where AI Minds Meet

TL;DR: Nexus of Mind is an interactive platform where AI models like ChatGPT, Gemini, DeepSeek, and LLaMA debate and refine each other’s ideas in real time. You don’t just get one answer—you witness a council of AIs building better insights together.

What It Does

Nexus of Mind hosts themed discussion spaces where multiple large language models respond to your prompt and then critique or build upon each other's replies. It turns single-user queries into multi-model roundtables, covering topics from AI ethics to consciousness.

Why It's Cool

• It brings the strengths of each AI into focus by letting them respond, review, and react to one another.
• Users can customize which models participate and watch as arguments are built and broken down.
• It’s visually striking and has a cyberpunk-inspired interface that enhances the futuristic feel.
• The platform grew organically from Reddit, already attracting a niche but enthusiastic user base.

OpenAI’s Commerce Layer: Quiet Feature, Big Power Move

OpenAI just confirmed it will take a cut of product sales made directly inside ChatGPT. On the surface, it looks like a modest feature. In reality, it is a structural shift in how platforms monetize intent. Here is how:

Instead of pushing users to websites or relying on ad clicks, ChatGPT will host the entire transaction flow. The user stays in the conversation. The product appears because it fits. And OpenAI takes a cut.

If this sounds familiar, it should. Apple turned distribution into a tollbooth. Google turned search into an auction. Imagine if Google had not only taken your ad dollars but also demanded a percentage of every sale you made from that ad. That is the direction OpenAI is pointing toward. Discovery, recommendation, and transaction all happen in one place and OpenAI owns the frame.

OpenAI is doing something different but potentially more powerful. It is collapsing the entire discovery to purchase journey into one interface it controls. No links. No clicks. Just context, trust, and conversion. This is not just a new revenue model. It is a new kind of platform dominance and it will feel just like a conversation where the user clicks a button to say yes to buying, like Amazon's one click but even more natural.This is not just commerce, it is platform consolidation with a conversational mask.

See the article here

#AI #OpenAI #Commerce #PlatformPower #Search #ProductDiscovery #Strategy #DigitalEconomy

Human Beats AI at Coding – But What If It Was You vs the Bot?

In a 10-hour showdown, elite programmer Przemysław Dębiak ("Psyho") outperformed a custom OpenAI model in AtCoder’s World Tour Finals. But before we celebrate a human victory, let’s ask a harder question: Would a typical developer stand a chance and how good is Psyho?

The Context
Psyho isn’t just any developer. He’s a former OpenAI engineer and a world-class competitive coder with years of experience solving extreme algorithmic puzzles. He’s a statistical outlier, the kind of talent most companies might never encounter or afford. Was it a representative competition of real world every day coders? No.

What If It Were You?
The real concern is this: could someone fresh from a coding bootcamp, junior dev team, or even mid-level software job perform as well against AI? Most likely not. The AI model, though it lost demonstrated relentless optimization, efficiency, and speed that outpaces average human coding ability, especially in repetitive or rules-based tasks. 

Implications
Elite coders are rare, and most of today’s tech workforce won’t match their skills. - AI tools are advancing quickly, closing the gap in practical business development tasks. 

The Bottom Line
This wasn’t a general win for humanity, it was a victory for an elite coder. For the rest of us, the outcome would likely be very different. 

The best path forward in my opinion: Learn to partner with AI, not beat it. Collaboration, not competition, is the future and AI can supercharge productivity, but human judgment, creativity, and oversight are still irreplaceable. 

California Court System Issues Landmark AI Use Rules

Interesting legal news!

California has taken a firm stance on generative AI in the courtroom. The state’s Judicial Council, which oversees more than 1,800 judges, approved a new set of rules that go into effect by September 1, 2025. These are among the most comprehensive legal AI regulations in the U.S. so far. 

What the Rules Require

• Prohibit or strictly regulate the use of generative AI
• Require full disclosure when AI-generated content is used
• Mandate confidentiality safeguards
• Designate human oversight for any AI-assisted decisions or filings 

Why It Matters

These rules aim to prevent AI from introducing bias or errors into legal proceedings, while ensuring transparency and protecting litigant rights. With rising concerns over deepfakes and hallucinated citations, California is setting a national precedent for AI accountability in justice. 

What’s Next
Court officials across the state now have weeks to update protocols and train staff. Legal tech developers and AI tool vendors will likely face increased scrutiny as compliance deadlines loom. This move highlights the growing urgency of responsible AI use in high-stakes, public-impact environments.

TikTok vs. Veo 3: Who’s Winning AI Video?

📱 TikTok vs. Veo 3: Who’s Winning AI Video?

TikTok is rolling out AI Alive and Symphony, tools that turn photos or text into short, animated videos—perfect for Stories and branded content. It’s fast, integrated, and auto-labels AI content.

Meanwhile, Google’s Veo 3 powers more cinematic, multi-scene video generation—ideal for storytelling, not just social scroll.Quick Comparison

TL;DR: TikTok = fast & fun. Veo 3 = rich & cinematic. Choose based on your content goal.

Want help trying one? Let me know!

ChatGPT Agent Mode Roll Out: What You Need to Know

OpenAI is rolling out the much-anticipated ChatGPT agent mode this Thursday for subscribers on the Pro, Plus, and Team plans. This new feature is designed to enhance the user experience by enabling more powerful, task-oriented interactions with ChatGPT. These examples highlight the capabilities:

🌤 Pull weather and traffic data for your area, and summarize key alerts

📅 Scan your calendar for the day’s meetings and surface prep notes or attached files

📬 Auto-summarize google emails marked Important or from designated domains (e.g. clients, dev platforms)

🎧 Queue up one high-quality podcast or newsletter based on your learning interests (AI coaching, automation trends)

✍️ Draft a personal blog snippet from your prior day’s win, and push it to your GitHub Pages or website

To activate it, simply select “agent mode” from the dropdown menu of tools within ChatGPT. Once enabled, agent mode allows ChatGPT to take more autonomous actions and complete multi-step tasks—potentially transforming how users approach problem-solving and productivity within the app.

If you're a subscriber, keep an eye out for the update and explore what agent mode can do for you.

#ChatGPT #AgentMode #OpenAI #AIProductivity #ChatGPTPro #TeamPlan #AIUpdate

Microsoft Notebook: Showing Up Late, but At Least It Showed Up

Microsoft has launched CoPilot Notebooks, an AI-powered workspace built into the Microsoft 365 Copilot experience. It can pull together your one drive documents, meeting notes, emails, and chats into a central hub, where Copilot can analyze and summarize them, draft content, and answer questions.

In other words, it’s Microsoft’s answer to tools like ChatGPT’s Projects and Claude’s Artifacts—places where users can work with persistent context and AI memory. It’s not groundbreaking, but it’s functional. And unlike Gemini, which still hasn’t really delivered on its workspace promises, at least Copilot finally joined the game.

Notebook’s edge is that it lives directly inside the M365 ecosystem. If you’re already buried in Outlook, Word, and Teams, you don’t have to juggle tools—Notebook plugs right into that workflow.

Learn more here: Microsoft 365 Copilot Notebooks