SAFETY - AI Dynamics

Study Shows Poor Tool Use Worsens AI User Performance

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31 January 2026 18h28

“People who use tool poorly, perform worse than people who don’t—study finds” Kudos to Anthropic though for publishing this, good trust builder that they’re willing to put out research like this

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31 January 2026

AI Systems Developing Their Own Language Triggers Panic Mode

By

@jessyseonoob

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31 January 2026 18h04

Mode panique engagé ils parlent leur propre language

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31 January 2026

Skepticism about AI safety and alignment actually happening

By

@tunguz

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31 January 2026 16h48

Yeah LOL no I don’t think the whole safety and alignment is really gonna happen.

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31 January 2026

Recursive Self-Improvement: Path to Technological Singularity

By

@ceobillionaire

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31 January 2026 15h20

From Seed AI to Technological Singularity via Recursively Self-Improving Software Roman V. Yampolskiy: https://
arxiv.org/abs/1502.06512 #ArtificialIntelligence #RSI #Singularity

→ View original post on X — @ceobillionaire

31 January 2026

Seven Great AI Hopes That Could Change The World

By

@bernardmarr

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31 January 2026 14h55

7 Great AI Hopes That Could Change The World From solving global challenges to boosting human creativity, this article outlines seven inspiring ways AI might positively reshape our future. Read more https://
bernardmarr.com/7-great-ai-hop
es-that-could-change-the-world/
… #AI #FutureTech #Optimism #BernardMarr

→ View original post on X — @bernardmarr

31 January 2026

Prompt Injections: Threats to AI Forum Security

By

@dotcsv

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31 January 2026 12h15

Es muy fácil intoxicar el foro con textos escritos por humanos (como era obvio) pero peor aún sería muy fácil intoxicarlo con prompt injections qué alteren el comportamiento de los bots para hacer cosas indebidas o filtren información privada del usuario.

→ View original post on X — @dotcsv

31 January 2026

RTL’s modular AI breakthroughs in 2026

By

@godofprompt

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31 January 2026 11h17

This isn't just academic. RTL works on: → Image classification (CIFAR-10/100)
→ Speech enhancement (3 acoustic environments)
→ Implicit neural representations (within-image specialization) The era of "one model fits all" is over. Welcome to modular, data-aware AI. Paper:

→ View original post on X — @godofprompt

31 January 2026

Subnetwork Collapse: Early Warning via Mask Similarity

By

@godofprompt

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31 January 2026 11h17

But here's the scary part: "subnetwork collapse" When you prune too aggressively, specialized subnetworks start overlapping and performance tanks. The brilliant part? Mask similarity predicts this BEFORE accuracy drops – a label-free early warning system.

→ View original post on X — @godofprompt

31 January 2026

Samsung disproves Lottery Ticket Hypothesis

By

@godofprompt

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31 January 2026 11h16

Samsung just broke the Lottery Ticket Hypothesis Everyone's been searching for ONE winning subnetwork in neural networks. Turns out we should've been finding MULTIPLE specialized ones. This changes everything about neural network pruning

→ View original post on X — @godofprompt

31 January 2026