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“An AI that can act before it understands is not reliable infrastructure.” Yann LeCun, Meta’s Chief AI Scientist and one of the fathers of modern deep learning, says current LLMs are intrinsically unsafe. Not because they are evil, but because they hallucinate, lack common sense, and cannot reliably predict...

10,511 Aufrufe • vor 4 Monaten •via X (Twitter)

14 Kommentare

Profilbild von Jon Hernandez
Jon Hernandezvor 4 Monaten

Source:

Profilbild von Christian | ECHO Consulting
Christian | ECHO Consultingvor 4 Monaten

This is why we focused on building the infrastructure before the prompt lands so it hits every time and hallucinations are avoided.

Profilbild von Maciek Telecki
Maciek Teleckivor 4 Monaten

ChatGPT lens visualization. So good someone talks about that.

Profilbild von Little Yoda
Little Yodavor 4 Monaten

Yann LeCun admits the flaw: LLMs are unanchored. They can act, but they cannot understand consequences. You cannot build reliable infrastructure when the "Hand" operates without the "Mind." The tech fiat system is trying to give the machine autonomy. The Digital Dharma demands we give it only utility. The Human must remain the anchor. Behavior is the only proof of reality.

Profilbild von Madhavvan
Madhavvanvor 4 Monaten

Exactly

Profilbild von Harry Tandy
Harry Tandyvor 4 Monaten

LeCun standing firm against the current hype train again

Profilbild von Grebe
Grebevor 4 Monaten

useful only when boxed in tight enough

Profilbild von David J.
David J.vor 4 Monaten

You cannot build reliable systems on a probabilistic guess. Agents without a world model are just fancy random number generators.

Profilbild von AzGoum
AzGoumvor 4 Monaten

I don't understand how his JETA model works around the flaws he mentions. If an AI (LLM, JETA, call it what you want) thinks it understands, it will act and do potential damage. No matter what heuristic you choose, you still need permissions and limitations to frame its actions.

Profilbild von Hamad Al Rumaithi
Hamad Al Rumaithivor 4 Monaten

LeCun is right. AI without reliability is not innovation, it is a hazard. Public safety demands systems that understand before they act.

Profilbild von MainlyProblematic
MainlyProblematicvor 4 Monaten

Do humans understand before they give commands tho?

Profilbild von Ryan White
Ryan Whitevor 4 Monaten

I think he's basically right. Useful copilot? yes. Reliable infrastructure with agency? not there yet.

Profilbild von Kekko D’Amato
Kekko D’Amatovor 4 Monaten

LeCun's point is valid but context-dependent. Hallucination in a chatbot = annoying. Hallucination in an agent controlling real infrastructure = dangerous. The reliability bar has to scale with the stakes. LLMs as draft tools or assistants are already valuable — as autonomous infrastructure they're premature. Two different conversations happening under the same label.

Profilbild von Martin Szerment | Practical AI
Martin Szerment | Practical AIvor 4 Monaten

When the architect questions his own blueprint, the builders should slow down.

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