TrendPulse

users show up to your AI product already burned. not by you, by the last three tools that were confidently wrong at the worst possible moment. that damage transfers. we learned this the hard way. product demoed great, retention was rough. users tried it once, got something 80% right, never came back. not because 80% isn't useful, because they couldn't tell which 20% was wrong. the fix wasn't better AI. it was being honest about where the AI stops and a human should check. we made that line e...

When I first subscribed to GitHub Copilot Pro, I remember having a much more generous premium model allowance. Today it's 300 premium requests/month, and different models consume different amounts, so the effective usage is even lower. I understand the economics of AI inference and why providers need to change pricing over time. My question isn't whether AI is expensive to run. What I'm wondering is: Is it fair to significantly reduce the value of an existing subscription after people have a...

Hey everyone! I am a secondary student working on an AI-driven, dynamic learning platform for software engineers upskilling to AI/ML roles. I believe something like this would be useful, considering how volatile the landscape of skills needed for these positions. It has two main features, adapted to this specific purpose. Through diagnostics (such as novel problems, asking the user to explain concepts, and other techniques that you might see in a job interview for example) it develops ...

I've been thinking about this a lot lately. There's so much conversation around AI changing industries, replacing jobs, and transforming professional workflows. But what about regular people using it for hobbies and personal projects? I've been experimenting with various AI tools for things like learning new skills, organizing personal projects, and getting feedback on creative work. Sometimes it feels genuinely useful and sometimes it feels like I'm fighting the tool more than it's helping me...

Over the past few weeks, I've been building a prototype that checks AI-generated financial claims against source documents. I expected the hardest part to be the language model. It wasn't. The hardest part has been defining what "correct" actually means. For example, imagine two documents in the same credit package: A covenant certificate reports EBITDA as $12.4M The management accounts report $11.9M Neither document is necessarily "wrong." One might exclude r...

Hi everyone, My name is Raheed Basahel (she/her) and I am currently conducting a postgraduate research study at King’s College London exploring how mood and relationship style may relate to interactions with artificial intelligence (AI), such as chatbots and conversational AI tools. The study has received ethical approval (Reference: LRU-25/26-55725). The first page of the study is the information sheet, please read ! I am looking for participants who: · Are aged 16+ · Have experience us...

A year ago, most content online was written by humans. Today, AI can generate articles, images, videos, comments, and even entire websites in minutes. On one hand, that's making knowledge and creativity more accessible. On the other, it's becoming harder to tell what's genuine, what's automated, and what's simply optimized for engagement. Do you think AI is improving the internet overall, or are we heading toward an era where trust becomes the biggest challenge? I'd love to hear differ...

I have an crazy app idea it could be build and manage by an single individual it has a lot of potential to grow, I just need an individual expert in app development, he will have the complete excess to that idea and i return I only wanted 10% stake or nothing, but the main thing i want is an free use version of that app if you are ready then dm fast

Wasn't sure where to post this but just wanted to know if this was real since it's AI. I won't be taking up the offer either way but when I click on who posted the ad on Snapchat it's from a random person, not an account clearly linked/ran by Burger King and I don't think such a large fast food place would use AI (not yet anyway). There is also a very similar one for McDonald's too. Just very curious now lol, thanks! 🍔 👍🏻 [link] ...

OpenAI floated giving the Trump admin a 5% stake. Financial Times ran it citing two people familiar with the talks. OpenAI haven't confirmed or denied anything. $852 billion valuation at last count, March 31. That 5% works out to $42.6 billion in paper equity nobody can touch yet. The sequence is what sticks. Six weeks ago NOTUS had senior officials already talking AI equity stakes with major companies. Three weeks ago Commerce spent 18 days reviewing Anthropic's Fable 5 and Mythos 5 before ...

I've been thinking about something lately. With AI advancing so quickly, it feels like every country now has the technical capability to build its own communication platforms instead of relying on global ones like WhatsApp or Instagram. Imagine if every country had its own messaging app, social network, cloud services, and AI ecosystem. One reason this seems interesting is data privacy and regulations. If a country's citizens primarily used services built and hosted within that country, wo...

OpenAI has considered a public-private partnership that would give the U.S. government a 5% stake in the company in a bid to quell growing unrest over the disruptions of artificial intelligence, the Financial Times reports, citing anonymous sources. Under the proposal, other U.S. tech companies would offer similar stakes , though it's unclear if any are on board. The idea is to give the public a slice of the technology's success and "share the upside," the FT wrote. The...

I’ve been thinking about a weird downside of using AI. Sometimes it makes me feel productive because I get answers quickly, summaries instantly, or a clean draft in seconds. But later I realize I didn’t actually understand the topic better, make a better decision, or move the real work forward that much. It can create the feeling of progress before there is real progress. For example: reading AI summaries instead of thinking through the material generating drafts that still need heav...

I’m the maker of Superloopy, a small MIT-licensed workflow layer for Codex and Claude Code. I built it around a problem I kept running into with coding agents: after a long task, the final answer often sounds confident, but the human still has to reconstruct what was actually checked. The pattern I’m trying is an evidence gate before the agent can call work done: - define acceptance criteria up front - route specialized work through skills/subagents when useful - run command-backed che...

When an AI agent reads a webpage, email, or document, that content can tell it what to do. The agent has no native way to distinguish data from instructions. Most defenses scan for obvious patterns and miss anything subtle. I built Arc Gate around a different principle: external content has zero instruction authority regardless of what it says. It doesn't matter how the injection is worded. If it came from a tool result, webpage, or email, it cannot instruct your agent. The numbers: AgentD...

I was curioius and asked Claude this. I thought that it would say like to live the longest life, or like Billionare, the usual stuff. It gave this.

We’re seeing a clear divide right now. Big companies are making models more restricted and heavily aligned for safety. At the same time, open-source and uncensored models are growing fast because many people want fewer limitations and more freedom. I’m curious what others think. Do you believe this split will continue and create two very different types of AI, or will one side eventually dominate?

I had built a personal tool to help me have extremely long conversations with LLMs in my research and analytical projects. These threads got long. Very long. About half a million tokens with Claude and GPT /Extreme%20Thread%20Length/ChatGPT_Thread_450k_tokens-Redacted.md) and over a million with Grok /Extreme%20Thread%20Length/Grok%20Thread%201M%20tokens-%20Redacted). All coherent, clean, and well-reasoned threads with no meaningful drift, hallucination, sycophancy, or other issues that make l...

Every AI tool now wants to help you shop (ChatGPT, Perplexity, Gemini, Alexa for Shopping). I keep trying them and still default to plain Amazon. Curious where this community lands: has any of it genuinely changed how you buy things, or is it still a novelty you don't reach for? What works, and what makes you not trust it?

Last week I shared the early architecture for IONS, a protocol built around the idea that intelligence should emerge from traversing reusable Cognitive Building Blocks (CBBs) rather than being compressed into increasingly larger model weights. The feedback was excellent. The biggest criticism wasn’t the premise. It was scalability. That criticism turned out to be justified. Today the Genesis network contains roughly 9,000 Cognitive Building Blocks, more than 50,000 relationships, and two f...

A week ago I posted that the Legion LegalTech case in D.C. was testing whether Commerce can treat access to a hosted frontier AI model as an export-control issue. https://www.reddit.com/r/artificial/comments/1uexdqk/followup_hosted_ai_export_controls_are_now_being/ Which was a followup to an initial post about the export control restrictions imposed on Anthropic: https://www.reddit.com/r/artificial/comments/1u4yjdi/does_commerce_have_the_authority_to_apply_export/ There’s now a new wri...

Hi Guys, Don't get me wrong, AI is phenomenal, but right now it still feels like an optional novelty or a niche tool for most everyday folks. To me, it hasn't hit that "can't live without it" status that the internet or smartphones have. Looking only at consumer products (not B2B or corporate software), how do you picture AI being integrated into our lives in the near future so that it becomes a true, indispensable utility? What’s the "killer feature" or shift that takes ...

ServiceNow's customer chief called tokenmaxxing an AI hype cycle in the Observer last week. Not some startup founder flexing contrarian creds — the guy who runs their customer org telling everyone the wrong meter is running the show. Salesforce announced $2 per resolved issue last Wednesday. Same direction, different side of the negotiating table. Stop measuring how much work you did. Start measuring what actually got done. I've sat in enough procurement calls to know why nobody moves on t...

I've been thinking about this a lot lately. There's a real tension between using AI as a learning tool versus using it as a shortcut that bypasses learning entirely. When I use something like ChatGPT or Claude to understand a new concept, sometimes I come away genuinely understanding it better than I would have from a textbook. Other times I just copy the output and move on, having learned nothing. The question is whether that's a problem with AI itself, or just human nature meeting a new to...