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#intelligence

113 posts49 participants9 posts today

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

Apple iOS users, I'm curious. Are you using Apple Intelligence in any way on your iPhone? Boosts appreciated for the poll.

British intel intern pleads guilty to smuggling top secret data out of protected facility.

Nothing about this makes sense.

1. A 25 year old intern.

No shade to interns but seems a bit old.

2. Intern had access to top secret intel.

Again nothing against interns, but give them access to top secret intel?

3. Intern uploaded top secret intel to a personal phone?

Why is anyone allowed to bring a personal phone int a facility that accesses top secret intel? Ever hear about a SCIF?

Either the story is missing a ton of facts or the British GCHQ had terrible operational security.

therecord.media/british-intern

therecord.mediaBritish intel intern pleads guilty to smuggling top secret data out of protected facilityHassan Arshad, 25, admitted to transferring sensitive material from an agency computer at GCHQ headquarters.

"Recently, the editor in chief of The Atlantic found himself in a group chat on Signal, in which president Trump's national security team discussed a military operation in Yemen. This immediately became SignalGate.

Here I present the secure government equipment and networks that Trump's team should have used instead of an app on their (personal) smartphones. It will also become clear why the Trump team prefers using Signal."

electrospaces.net/2025/03/the-

www.electrospaces.netThe equipment that Trump's national security team should have usedA weblog about Signals Intelligence, Communications Security and top level telecommunications equipment

→ Une #intelligence #artificielle libre est-elle possible ?
linuxfr.org/news/une-intellige

« Posons-nous un instant la question : qu’est-ce que le #code #source d’un réseau de #neurones ? […] La #GPL fournit une définition : le code source est la forme de l’œuvre privilégiée pour effectuer des #modifications. Dans cette acception, le code source d’un réseau de neurones serait l’#algorithme d’entraînement, le réseau de neurones de départ et le #corpus sur lequel le réseau a été entraîné »

linuxfr.orgUne intelligence artificielle libre est-elle possible ? - LinuxFr.orgL’actualité du logiciel libre et des sujets voisins (DIY, Open Hardware, Open Data, les Communs, etc.), sur un site francophone contributif géré par une équipe bénévole par et pour des libristes enthousiastes

Nuovo episodio di🌶️𝙍𝙚𝙙 𝙃𝙤𝙩 𝘾𝙮𝙗𝙚𝙧 𝙋𝙤𝙙𝙘𝙖𝙨𝙩: 14 - Wi-Fi pubblico: opportunità o trappola?

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Al microfono Marco Ghirlanda, CISO per la sanità pubblica ed esperto di sicurezza informatica