Skip to main content
Terug naar Discussies

Wat ontbreekt tussen LLM's en AGI - Vishal Misra & Martin Casado

Technology
United States
Gestart March 18, 2026

Vishal Misra returns to explain his latest research on how LLMs actually work under the hood. He walks through experiments showing that transformers update their predictions in a precise, mathematically predictable way as they process new information, explains why this still doesn't mean they're conscious, and describes what's actually required for AGI: the ability to keep learning after training and the move from pattern matching to understanding cause and effect

Bronartikel

Stelling toevoegen Analyse 0/5
Need to find a specific claim? Search all statements.
🗳️ Join the conversation
5 stellingen om op te stemmen • Your perspective shapes the analysis
📊 Progress to Consensus Analysis Need: 7+ participants, 20+ votes, 3+ votes per statement
Participants 0/7
Statements (7+ recommended) 5/7
Total Votes 0/20
💡 Progress updates live here. Final readiness is confirmed when all three requirements are met.

Your votes count

No account needed — your votes are saved and included in the consensus analysis. Create an account to track your voting history and add statements.

CLAIM Geplaatst door will • Mar 18, 2026
De overgang van patroonherkenning naar oorzaak-en-gevolg-begrip is kritiek maar nog verre van gerealiseerd in AI-ontwikkeling.
AI-vertaald · Origineel tonen

The transition from pattern matching to cause and effect understanding is critical but still far from being realized in AI development.

Vote options for this statement: agree, disagree, or unsure
💬 Discussie bekijken
Be first to respond
Vote to see results
CLAIM Geplaatst door will • Mar 18, 2026
Vooruitgang in LLM's mag niet de ethische implicaties van het creëren van systemen die menselijk begrip nabootsen overschaduwen.
AI-vertaald · Origineel tonen

Advancements in LLMs should not overshadow the ethical implications of creating systems that mimic human understanding.

Vote options for this statement: agree, disagree, or unsure
💬 Discussie bekijken
Be first to respond
Vote to see results
CLAIM Geplaatst door will • Mar 18, 2026
Het geloof dat LLM's tot AGI kunnen leiden, geeft een vertekend beeld van de complexiteit van bewustzijn en begrip in machines.
AI-vertaald · Origineel tonen

Believing LLMs can lead to AGI misrepresents the complexity of consciousness and understanding in machines.

Vote options for this statement: agree, disagree, or unsure
💬 Discussie bekijken
Be first to respond
Vote to see results
CLAIM Geplaatst door will • Mar 18, 2026
Continu leren na training is essentieel voor AGI; LLM's moeten zich verder ontwikkelen dan statische modellen om werkelijk menselijke intelligentie na te bootsen.
AI-vertaald · Origineel tonen

Continuous learning post-training is essential for AGI; LLMs must evolve beyond static models to truly replicate human intelligence.

Vote options for this statement: agree, disagree, or unsure
💬 Discussie bekijken
Be first to respond
Vote to see results
CLAIM Geplaatst door will • Mar 18, 2026
Het nauwkeurige, voorspelbare karakter van LLM's toont hun potentieel aan als fundamentele gereedschappen voor het bereiken van AGI.
AI-vertaald · Origineel tonen

The precise, predictable nature of LLMs showcases their potential as foundational tools for achieving AGI.

Vote options for this statement: agree, disagree, or unsure
💬 Discussie bekijken
Be first to respond
Vote to see results

💡 How This Works

  • • Add Statements: Post claims or questions (10-500 characters)
  • • Vote: Agree, Disagree, or Unsure on each statement
  • • Respond: Add detailed pro/con responses with evidence
  • • Consensus: After enough participation, analysis reveals opinion groups and areas of agreement

Society Speaks is open and independent. Your support keeps civic discussion free from advertising and commercial influence.

Support us