Woll Street

AI news should leave you better informed—and better equipped to ask questions. That’s what I’m building with AINewsIQ. It brings together: 📡 Live news radar — explore recent AI research, releases and discussions by topic, then follow the original sources. 🔎 Original reporting and analysis — examine the evidence, competing explanations and unanswered questions. ⭐ GitHub Radar — discover rising AI repositories, inspect measured momentum and explore releases, activity, licenses and available security information. Popularity is a signal to investigate, not proof of quality or safety. 🧰 Evidence First prompt packs — free, structured prompts to help you investigate claims, organize sources and make the limits of an analysis visible. Original Games with original mechanics as well. The editorial principle behind all of it: State what is NOT verified as clearly as what IS. A source making a claim doesn’t establish that claim. An inaccessible page doesn’t mean evidence doesn’t exist. An unidentified person doesn’t establish an identity. Those distinctions matter in journalism, research, executive briefings—and the AI systems we build. AINewsIQ is growing, and I’m inviting contributors who can bring practical experience, clear explanations and careful sourcing. Your author bio can highlight your work and products; articles must serve readers and go through editorial review. This is the latest from Triuna Labs, Inc. Explore: ainewsiq.com GitHub Radar: ainewsiq.com/repositories Apply to write: ainewsiq.com/contribute What would make an AI news site worth returning to for you? #AI #OpenSource #AIResearch

Everyone is asking whether Big Tech will ever earn back the billions it's spending on AI. I'm watching another investment risk that I think deserves just as much attention. **What happens to the valuations of established software companies when the cost of competing with them collapses?** I've spent years architecting and building enterprise software. Now, as a founder building AI products, I'm seeing firsthand how much the economics have changed. Consider open-source projects like **Reverse Engineer Anything (REA)**. REA allows AI agents to investigate how applications work, examine binaries, trace behavior, and understand individual features without access to the original source code. Combine capabilities like that with increasingly powerful AI coding agents, and something interesting starts happening. A small company doesn't necessarily need hundreds of developers, years of development, or massive funding to challenge an established software vendor. It doesn't even need to reproduce the entire application. It might only need to understand the most valuable workflows, identify where customers are underserved, and build a better alternative. That's potentially a serious problem for companies whose competitive advantages depend heavily on software complexity, development costs, and the difficulty of entering their markets. Of course, software isn't the entire moat. Proprietary data, network effects, distribution, customer relationships, and regulatory requirements still matter enormously. But how many publicly traded software companies are valued on the assumption that their competitive barriers will remain intact? And how quickly could those assumptions change? **I see two very different AI investment risks emerging:** 1. **Infrastructure risk:** Will the enormous investments in AI compute generate adequate returns? 2. **Competitive disruption risk:** Which established companies could lose pricing power, market share, or margins as AI makes smaller competitors dramatically more capable? Wall Street is paying plenty of attention to the first. I'm not convinced it's paying enough attention to the second. The next serious competitor to a billion-dollar software company might not be another billion-dollar software company. It might be a few people who understand the customer's problem better. That's the idea behind my latest Benny & Archie comic. **The moat didn't vanish. The bridge got cheaper.** — Woll Street

“Anyone with the link” is not the same as “only people I shared it with.” And the AI industry keeps learning this lesson. Meta has paused its Muse AI chat-sharing feature after security researchers discovered more than 6,800 shared conversation links through public DNS records. Some exposed sensitive personal and business information. The surprising part? Researchers reportedly found them with a single query. This isn't an isolated incident. 🔹 Claude (July 2026): Shared conversations and Artifacts appeared in Google and Bing search results. 🔹 Meta Muse (October 2026): Conversation titles embedded in share-link subdomains made thousands of links discoverable through DNS records. 🔹 Google Docs: “Anyone with the link” follows a similar access model. Anyone who obtains the URL can access the document, although that doesn't mean Google automatically indexes it. Three different situations. One recurring problem: We're confusing the ability to share something with control over who can discover and access it. As AI agents increasingly handle financial records, business documents, emails, and sensitive conversations, that distinction matters enormously. A hard-to-guess URL can be useful, but it shouldn't be mistaken for authenticated, recipient-specific access. My view: AI platforms need clearer sharing warnings, explicit access controls, revocable links, and privacy-conscious defaults. And users need to understand exactly what that innocent-looking Share button does. 🦊 Today's Benny & Archie illustrates the problem. The underlying issue is considerably less funny. Should AI conversation sharing be restricted to named recipients by default? 📰 Sources: "Ars Technica — Meta Muse" (arstechnica.com/security/202…) · "WIRED — Claude" (wired.com/story/private-clau…) #AIPrivacy #Cybersecurity #AI #BennyAndArchie

The smartest thing AI has done this week? Make a smart TV dumb again. 📺🤖 Yes, really. Developers are using AI coding assistants to remove ads, tracking, bloated menus, and unwanted features from smart TVs. Not to add more features. To give people back what they already paid for. There is a real application here.... At some point, "smart" stopped meaning smarter for the customer and started meaning smarter at monetizing the customer. More features ≠ more value. And sometimes the most innovative thing you can do is remove everything getting in the user's way. Benny and Archie have a few thoughts on that. 🦊 What other "smart" product desperately needs a dumb mode? 📰 "Source: TechCrunch — October 19, 2026" (techcrunch.com/2026/10/19/pe…) #AI #ProductDesign #ConsumerTech #BennyAndArchie

@elonmusk Our dreams are coming true. KNIGHT Rider is coming.

#BeastGames2 how does rbgy-rbgy-rbgy-rbgy 16 block stack considered hard to memorize for "smartest people in planet" ROTFL Beast Games opener was a joke.

Worth a look

You thought you had a bad day?

This is big for USA longterm.

"To me, boxing is like a ballet, except there’s no music, no choreography, and the dancers hit each other." Deep Thoughts by Jack Handy Illustrated by: Gemini 2.0 Last one for now.

"Before you criticize someone, you should walk a mile in their shoes. That way, when you criticize them, you’re a mile away and you have their shoes." Jack Handy - Deep Thoughts GEMINI 2.0 (On my phone) Share your favorite Deep Thoughts

"If trees could scream, would we be so cavalier about cutting them down? We might, if they screamed all the time, for no good reason." Jack Handy - Deep Thoughts GEMINI 2.0 Which is your favorite? Any other ones you like?

"It takes a big man to cry, but it takes a bigger man to laugh at that man." - Deep Thoughts by Jack Handy. Let me know if you want more.

"If you ever drop your keys into a river of molten lava, let 'em go, because, man, they're gone." -Jack Handy

Deepwork AI for the stick trader...

Gemini 2.0 imitating art styles is getting too good. Still suffers with real words.... but a real problem as intellectual theft. This is not his work.

What was the best tech in your opinion at CES 2025? Was it just an enhanced iteration of CES 2024?