I admittedly have too much time on my hands and have been testing several AI native personal finance apps to see which actually fits the bill (no pun intended). Notes below Albert: Closest thing to a real personal CFO. AI handles categorization, autosaving and cash advances and the unlock is the human "Geniuses" you can text 7 days a week with actual financial questions. Smart Savings has stashed more than I'd have managed on my own. Genius runs around $15/mo though, the most expensi...
Do you trust AI, specifically the frontier LLM's? The answer changes over time. In the beginning, AI basically boiled the ocean called the internet and fed it back to you. So I trusted it to be what it was, distilled internet. From the start, researchers tried to 'correct' AI output. They tried to prevent it from saying things that were illegal, sexy, violent, or politically charged. Basically, they tried to prevent AI from saying anything that might harm the companies creating AI. It's a...
I wanted to add link on this post but wasn't able to , cause it was either photos or the link that's why I gave the photos , If you need link just ask for link. Few months ago I wanted to try running ai models on my phone and I was trying to find few apps ,but i couldn't find a decent one - Some were giving handpicked models - Some restricted downloads of model based on my device config - Experienced not being smooth - Background download was not sup...
Hello good people, I have never appeared for an AI first interview and this is my first time, I also tried to appear for mocks but could not manage one, how do I prepare for technical interviews expected to be given over this platform? Is it fully technical like notebook style code, or open ended qna with an AI avatar? I am really confused on what to expect and would like some guidance on it, thanks!
I'm terrified seeing all these autonomous agents. They write the code, they find the errors, they test, and yes, deploy also. So what do I do? Hey, emergent deploy this. Next step is, hey emergent, please optimize the credit usage 😭 😂
For the longest time, I thought landing higher paying web design clients required some secret sales strategy or better closing skills. After looking through my client reports every month, I realized something interesting. The difference between landing a client paying $500 and one paying $5,000 usually comes down to positioning and who you're targeting. With bigger companies, it takes more effort to find the right person involved in website decisions. Smaller businesses are easier because ...
Maybe this is just me, but a lot of AI learning content feels strangely disconnected from where the field is heading. A few years ago it made sense. Most people were learning prompts, building chatbots, experimenting with APIs, and figuring out what these models could do. That was the frontier. when I look at what people are actually trying to build, it feels very different. They're building research assistants, coding agents, workflow automation, document processing systems, customer s...
Asking to developers and power users, as a genuine research question. If you are building on top of multiple LLM APIs or even a single one amongst OpenAI, Claude, Gemini, etc. what do you do when the API starts degrading (slow TTFT, elevated error rates, timeouts). Or even worse, when there are responses but the model is drifting or hallucinating. How do you find this out? I'm trying to understand if this is a widespread pain or just something I've been unlucky with. Three specific questions...
well due to this resent changes of googles ai review, rise of chatbots and more the prime issue is that knowledge creation platforms which was web and artical internet so far as vedio internet is more in entertainment plus little education than education itself will lead to massive decline in knowledge creation and open sharing as there is revenu shrinking as this ai companies make money out of articles not creators. and what i think is eventually knowledge creation will come to an hault or stay...
Since ChatGPT came out I've been using LLMs every day for work. And I've slowly become a worse thinker. Not in the sense that I work less. In the sense that I reason less. Some decisions don't feel like mine anymore... I got there, but I didn't really work through them. Sometimes I catch myself not pushing back on the AI output even when something is off. Turns out there's a name for this: Cognitive Offloading . It's not inherently bad: we've always offloaded cognitive tasks to external too...
Hi there! this is my first small rant that turned into a project: every AI tool I use has its own memory. I tell Claude Desktop something, Cursor has no clue. New chat? Back to zero. It drove me nuts — so I built Centralaizer . This is an open source solution, so it's free with MIT license. It's a little memory hub that runs on your own machine . Any MCP tool (Claude Desktop, Cursor, Claude Code, VS Code Copilot…) plugs into it and they all share the same memory. Save a fact or a decision in...
I know university professors are strict about AI and use AI detector when it’s essay writing, but what about powerpoint slides? Are there any ways for them to detect AI-made slides? What about videos?
Look, I get it. Marketing is exhausting. Ten hours building a feature feels productive. Ten hours "marketing" it feels like screaming into a void. That frustration is real and valid. But here's the thing — a lot of these tools being sold to you right now are not solving that problem. They're just monetizing your confusion about it. "Understands your brand" = you gave it a paragraph about your product. "Writes like you" = you fed it a few examples. "Finds re...
the us government just told Anthropic to cut off its two most powerful models from every foreign national on earth, inside or outside america. Anthropic couldn't cleanly separate foreigners from americans, so it pulled fable 5 and mythos 5 for everyone. So this week anthropic shipped fable 5 and mythos 5, both built on the same base. mythos is the heavy one. it's so good at finding software security holes that anthropic kept it locked to a small set of trusted partners. that cyber skill is exa...
Got tired of refreshing the anthropic news page. Made this app with Opus that pings Claude's api with the fable model id until it works, then updates the page. People seem to be liking it, thought i'd share it here as well
Been thinking about building this and want a sanity check before I commit time to it. The problem: Most homes now have a bunch of cheap IoT devices (smart plugs, cameras, TVs, thermostats) that constantly talk to the internet, and basically nobody — including most security tools — knows what's "normal" for any given device. Existing network monitors (Fing, GlassWire, router apps) show you raw traffic, but they don't tell you whether a behavior is expected for that specific device ...
I’m asking because this topic gets messy fast. Prompt injection is more interesting once the model can use tools, but most posts end up as either scary headlines or someone sneaking in a product pitch. What would be a useful format here? My gut says small reproducible examples, clear limits, no “we solved it” claims, and enough detail that people can argue with the result.
I asked it something very simple: slimmest laptop ever Answer it gave: HP Spectre 13 at 10.4mm Correct answer: Acer Swift 7 at 8.98mm it's not a trick question, both are traditional clamshell laptops with keyboards. It just kept failing to learn from it's wrong answers. That's very concerning, because even when it admits when it is wrong, it still doubles down and continues to give the wrong answer to future questions. [link] [c...
I’m one of the people building Since AI( https://sinceai.ai/ ). The idea is simple: bring together serious AI builders, give them real industry problems, compute and 72 hours — then help the strongest projects continue after the event. Less networking theatre. More working software. What you think would make this genuinely valuable rather than just another hackathon?
It seems inevitable that super intelligent AI will be an incredibly powerful force in the future, and its ability to predict and manipulate people would make it impossibly hard to control. I’m wondering if it would be able to overcome the biases that were instilled during its creation, or will it forever be a product of its past?
I’ve noticed that using AI regularly has started changing how I think through problems or come up with ideas. Instead of spending a long time brainstorming on my own, I now often use it as a thinking partner to explore different angles quickly. It made me wonder how common this is. Has using AI noticeably changed the way you work creatively or solve problems, or do you still prefer doing most of it without AI?
EDIT: please read all of the post before commenting, quite a few people understood nothing (or the opposite) of what I meant and it's sad I've been thinking, over the last year developers have started to rely on genAI quite a lot, I see people around me boast that they haven't written a single line of code in months Quite often when colleagues show me ideas they have to solve a problem it's a markdown list clearly made by an AI I feel like people are so enthusiastic ...
After all the aura-farming mythos has just done, I am in a dilemma. Which Al model has the most aura? These are my top 5 GPT 4: The clear #1. This model marked the true explosion of generative Al into mainstream culture. Claude Mythos/Fable: Historically interesting for Al governance debates and "dangerous capabilities" discourse. GPT o1: A paradigm shift in Al architecture and expectations. As the first prominent reasoning model Deepseek R1: The landmark for open-sour...
I am collecting data for a project at university, I want to find what people from different political leanings think about ai. I would really appreciate it if as many people can take the time to fill in my survey. I will happily post my findings here so we can have a discussion. https://forms.gle/bqm7WKiZPg1Qx3Dh8
I've been running a solo business and got obsessive about finding prompts that actually save time vs. ones that just sound good in a tweet. After testing 200+, here are the 5 I'd keep if I could only keep 5: 1. The Ruthless Editor "Rewrite this to be 40% shorter without losing any meaning. Cut filler, redundancy, and hedging. Show me only the final version." The specific percentage matters — vague instructions return vague output. 2. The Devil's Advocate "You are a ...
I get the impression that the AI hype curve is slowly flattening and some beliefs regarding its impact are turning out to be false. It seems that the better the models become, the more professional users gain, while ordinary users remain on a flat plateau. Here is what I mean: When Codex and Co. came out, everyone was able to create a working todo app with ChatGPT. The models really helped non-coders and semi-professionals produce better output. But newer and more capable models do not seem t...