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#perplexity

3 posts3 participants0 posts today

Spaces are not working for me - Answer from #Perplexity #Support 3,5 hours ago
Perplexity.AI: We're currently experiencing some temporary performance issues due to infrastructure improvements we're working on. While this work is ongoing, some users may experience intermittent issues with Spaces and other features.
Your data is safe and Spaces functionality will return to normal once our systems stabilize.
Mac-App & Browser still not working

Replied in thread

@TeachrDigital @devontechnologies
@eric

Upgrade gekauft ✅
Für mich ein no-brainer. 🥰

Die ersten 50 user:innen bekamen das Upgrade kostenlos - wow! (ich bin leider mindestens Nr. 51 ;-)

Zum Test habe ich mein #Perplexity-Konto bzw. den #API-Key davon eingebunden.

Dann kann ich direkt in einem Inspector rechts mit der KI chatten. Das ist schon nice.

Man kann auch einstellen, worauf die KI Zugriff haben darf, also z.B. die Ebene „Datenbank“ ausschließen

People have low expectations for AI. I asked ChatGPT (paid account, not the free stuff) what would make ChatGPT better. I think the answer is a lot higher quality than what people keep saying one should expect. This is what I got:

--- My Prompt:
With DeepSeek, there are things it is very good at, but it fails quickly and rather spectacularly. Your models tend to break down as well, but somewhere there must be a model that will be able to stay on topic, even when the topic changes, so that conversations move around like human conversations move around subject-to-subject. What would take ChatGPT over the top?

--- ChatGPT reply:
Here’s what it’ll take to get closer to that human-like conversation flow:

  1. Long-Term Memory That Actually Works. Most models either have no memory or they remember only in a clunky, artificial way.

A better memory system would not just recall facts, but contextual relevance—like “we talked about LLM efficiency two days ago and you hate cheerleader language.”

It has to be smart recall, not just data storage.

  1. Thread Awareness
    Imagine a model that can say: “You mentioned DeepSeek earlier. Should I compare it again now that we’ve brought up open-source tools?”
    That requires models to track not just words, but conversational branches—like a tree, not a straight line.

  2. Graceful Fallbacks
    When a model doesn’t know, it should gracefully pivot, not hallucinate or go off-topic. This kind of conversational “stability” is rare and subtle.

Most models that fail “spectacularly,” as you said, are trying to bluff through complexity instead of narrowing scope or clarifying.

  1. Hybrid Contextual ReasoningThe future model needs to reason across subjects rather than switching on and off.

If we're talking about language models, and you shift to science fiction, it should be able to bring up Asimov or neural networks in storytelling—bridging topics, not just hopping between them.

Right now, most models either:

Stay sharp but shallow (good at Q&A, bad at memory), or

Drift into friendly nonsense (chatty, but brittle)

The sweet spot will be a system that grows with you across time and topics—and doesn’t forget what you value in a conversation.

....

When you see stuff posted online meant to minimize the quality of output possible, This was a single question with no leader. I think this is the kind of answer we want from our AI devices.

Thoughts? Feel free to tear this response apart. It needs that kind of human analysis.

#ai#openai#deepseek

99% of you will nod in agreement but won´t take action.

But here´s the thing:

You 𝗻𝗲𝗲𝗱 𝗻𝗼𝘁 pay anything for training on most cybersecurity subjects. 💰

Here is a demonstration of how I can create a training program about Zeek that´s tailored to my learning style, budget, time constraints, and goals.

loom.com/share/523ffa4f3e6c4a2

#ai #learning #free #perplexity #chatgpt #zeek

recruiterflow.com/nsc/jobs#menu

3 Ideas for Streamlining Your #AI Knowledge Stacks ft. #BoodleBox #Gemini #ChatGPT #Perplexity

Chatting via Mastodon with Moe, I got the idea to refine my awareness of AI Knowledge Stacks a little more. The question going around in my head is, "How can I really boil this down to make it easy for future knowledge stacks I create? How can I organize a folder on my computer where I have a "grab-n-go" set of resources for an idea.

mglink.org/2025/03/28/3-ideas-

Another Think Coming · 3 Ideas for Streamlining Your #AI Knowledge Stacks ft. #BoodleBox #Gemini #ChatGPT #PerplexityChatting via Mastodon with Moe, I got the idea to refine my awareness of AI Knowledge Stacks a little more. The question going around in my head is, “How can I really boil this down to make i…