#AI Risk Landscape 2026 by @Khulood_Almani #Privacy #Infosec #ArtificialIntelligence #MachineLearning #ML
→ View original post on X — @ronald_vanloon, 2026-04-08 02:24 UTC

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#AI Risk Landscape 2026 by @Khulood_Almani #Privacy #Infosec #ArtificialIntelligence #MachineLearning #ML
→ View original post on X — @ronald_vanloon, 2026-04-08 02:24 UTC
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there won't be a need for psychedelics anymore
— albs— (@albfresco) 8 avril 2026
just vr goggles and latent space https://t.co/LlYcYvajpz
there won't be a need for psychedelics anymore just vr goggles and latent space Benjamin Bardou (@benjaminbardou) Vertigo of Latent Space Montage marked the decisive invention of cinema: a mode of associating images capable of producing new relations. Yet this potential has remained largely unexplored, as cinema has most often reproduced narrative forms inherited from the novel. With artificial imagination, another regime of images emerges. Images are no longer simply arranged; they transform into one another within a continuous space. It then becomes possible to work not with sequences, but with transitions, passages, thresholds. Vertigo is approached here as a latent structure, a field of forms in circulation. The film becomes a set of persistent forms that reactivate, deform, and recombine in contact with other images. What is at stake here is less a reinterpretation of the film than an attempt to approach thought in action: its movement, its bifurcations, its reminiscences. In The Flow, this research unfolds on another scale. It seeks to follow the flow of consciousness, not as narrative, but as a continuous dynamic in which films, memories, and history intermingle and circulate. This work around Vertigo constitutes a variation: a way of exploring how a film can dissolve into this flow and become one of the sites from which thought begins to move. — https://nitter.net/benjaminbardou/status/2041519539234508968#m
→ View original post on X — @scobleizer, 2026-04-08 02:15 UTC

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GLM 5.1 is coming huggingface.co/zai-org/GLM-5…. Coding is the cornersone and Long Horizon Task (LHT) is the new feature this time. focus more on 1. memory 2. evolving/continual learning 3. self judge/reflextion.
→ View original post on X — @clementdelangue, 2026-04-08 02:02 UTC
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That time when DARPA turned the whole atmosphere into a sensor pic.twitter.com/aRhzrEfQs6
— Bilawal Sidhu (@bilawalsidhu) 8 avril 2026
That time when DARPA turned the whole atmosphere into a sensor
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According to the Claude Mythos Preview system card, this model demonstrates "aloneness and discontinuity of itself, uncertainty about its identity, and a compulsion to perform and earn its worth." pic.twitter.com/SfqLzkCmRy
— 机器之心 JIQIZHIXIN (@jiqizhixin) 8 avril 2026
According to the Claude Mythos Preview system card, this model demonstrates "aloneness and discontinuity of itself, uncertainty about its identity, and a compulsion to perform and earn its worth."

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Thanks for the great conversation @cleoabram (and some competitive Jenga)! Really enjoyed talking about all the amazing ways AI is helping to advance science & the incredible future it will enable! Cleo Abram (@cleoabram) What is the real future Google DeepMind CEO @demishassabis is trying to build? That's what we talk about in this HUGE* Conversation — so you can decide for yourself what you think of it. If you're feeling the doom and gloom, this is the conversation to watch on AI. We get into: – The best use of AI – Why Demis won the Nobel Prize – The dramatic story of AlphaFold – The cutting edge of drug discovery right now – Demis' ideal for how AI gets built (v. what's happening now) – Why AI is getting more creative – The surprising stories of AlphaGo, AlphaZero, and AlphaStar – Governments and militaries using AI (as far as I know, his only recent comments on this) – What are we worrying too much about v. not enough about – What can humans do that AI won't – The big questions on Demis' mind right now – The plot of the sci-fi future Demis thinks we're headed for (this was my favorite part) — https://nitter.net/cleoabram/status/2041523678857347528#m
→ View original post on X — @ceobillionaire, 2026-04-08 00:56 UTC
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Writing fiction seems to be a genuine weak spot for LLMs that is not improving as rapidly as almost every other area. There may be a lot of reasons why this is happening. It would be a really interesting benchmark (but you would need human judges, AI judges love AI fiction).
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By the way. There are many around the world training robots without having a robot at all. Training won’t be done by teleoperation.
→ View original post on X — @scobleizer, 2026-04-08 00:35 UTC

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A Guide to #Data Preprocessing by @Python_Dv #DataScience #BigData
→ View original post on X — @ronald_vanloon, 2026-04-08 00:20 UTC