What if the model didn’t just use a computer, but actually was the computer? Meta AI introduces "Neural Computer", a model where computation, memory, and I/O are all inside one learned system. Their early prototype learns from screen recordings of terminals and desktops, and it
RESEARCH
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Engramme’s Revolutionary Memory Architecture: Beyond Transformers
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This is a big deal: A much more human-like memory system.
— Robert Scoble (@Scobleizer) 9 avril 2026
Not built on transformers. Engramme created a fundamentally new architecture for memory. The way OpenAI created one for language. This is a new category, not an incremental improvement.
All built with latest… https://t.co/UYzObfyQrxThis is a big deal: A much more human-like memory system. Not built on transformers. Engramme created a fundamentally new architecture for memory. The way OpenAI created one for language. This is a new category, not an incremental improvement. All built with latest neuroscience research. Signed up. Gabriel Kreiman (@gkreiman) Imagine a future where you can REMEMBER EVERYTHING. Every email, every person, every conversation. Introducing Engramme. Our vision is to endow humans with perfect and infinite memory. All your memories come to you. No more searching or prompting. engramme.com 🧠 — https://nitter.net/gkreiman/status/2042271382265053537#m
→ View original post on X — @scobleizer, 2026-04-09 19:26 UTC
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5 Key AI Challenges for Supply Chain Management
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5 key #AI challenges for #SupplyChain by @Gartner_inc #MachineLearning #ArtificialIntelligence #ML
→ View original post on X — @ronald_vanloon, 2026-04-09 19:23 UTC
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Google AI Overviews Generate Millions False Answers Per Hour
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Google's AI Overviews spew out millions of false answers per hour, bombshell study reveals trib.al/1ao7qB1 [Translated from EN to English]
→ View original post on X — @garymarcus, 2026-04-09 19:22 UTC
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Multi-agent San Francisco simulation with ANIMA AI reaches 1M interactions
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Multi-agent, real-time simulation of San Francisco.
— Cris Lenta (@crislenta) 9 avril 2026
→ running for 5 months (sim time)
→ autonomous movement + interactions
→ from 1 to 349 agents
Powered by ANIMA (Asynchronous Neural Intelligence for Multi-agent Autonomy) the new architecture behind LifeSim (1 million… https://t.co/FWlImAS7w8 pic.twitter.com/QhszlTCe0hMulti-agent, real-time simulation of San Francisco. → running for 5 months (sim time)
→ autonomous movement + interactions
→ from 1 to 349 agents Powered by ANIMA (Asynchronous Neural Intelligence for Multi-agent Autonomy) the new architecture behind LifeSim (1 million real player interactions) LifeSim just crossed 1M+ real player interactions. That's 1M+ datapoints of raw, unbiased human feedback. This is just a preview. More soon. Real-time World Simulation rendered in any style [Translated from EN to English]→ View original post on X — @scobleizer, 2026-04-09 19:13 UTC
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MSL Releases Muse Spark, New AI Model Powering Meta AI
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Excited to share what we've been working on at MSL Alexandr Wang (@alexandr_wang) 1/ today we're releasing muse spark, the first model from MSL. nine months ago we rebuilt our ai stack from scratch. new infrastructure, new architecture, new data pipelines. muse spark is the result of that work, and now it powers meta ai. 🧵 — https://nitter.net/alexandr_wang/status/2041909376508985381#m
→ View original post on X — @alexandr_wang, 2026-04-09 19:12 UTC
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Anthropic’s Opus 4.6 Advisor Strategy for APIs
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Anthropic released a new Advisor Strategy for APIs, in which Opus 4.6 will serve as an advisor to Sonnet or Haiku models. Opus-level intelligence at much lower costs
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DeepMind CEO Questions AI Research Priorities Over ChatGPT
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This – “The CEO of Google DeepMind (@demishassabis) just admitted that if the decision had been his, we would've cured cancer before anyone ever used ChatGPT.” is exactly what i am trying to say in my pinned tweet, in different words.
— Gary Marcus (@GaryMarcus) 9 avril 2026
The fact that we left things to Altman… https://t.co/Ei1gkhDNKOThis – “The CEO of Google DeepMind (
@demishassabis
) just admitted that if the decision had been his, we would've cured cancer before anyone ever used ChatGPT.” is exactly what i am trying to say in my pinned tweet, in different words. The fact that we left things to Altman -
Andrew Dai launches Elorian AI with former DeepMind colleagues
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My former Brain colleague @AndrewDai just launched @ElorianAI Andrew M. Dai (@AndrewDai) After almost 12 years in Brain/DeepMind, I’ve finally decided to take the leap. My cofounders: @yinfeiy, Seth and I have kicked-off @ElorianAI. The first multimodal reasoning lab founded and led by former LLM pretraining, data and multimodal leads. piped.video/YlvfNpOMeOY?si=iiVT… (1/n) — https://nitter.net/AndrewDai/status/2042306961342153016#m
→ View original post on X — @ceobillionaire, 2026-04-09 18:58 UTC
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Video Editing Volume Knob Control Research at SIGGRAPH2026
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What if video editing had a “volume knob”?
— Decart (@DecartAI) 9 avril 2026
We are excited to share new research from @DecartAI and @TelAvivUni, accepted to #SIGGRAPH2026. We found directions within video models that enable smooth control over edit strength, from subtle changes to full transformations!
Check… pic.twitter.com/XSp2h5mpihWhat if video editing had a “volume knob”? We are excited to share new research from @DecartAI and @TelAvivUni, accepted to #SIGGRAPH2026. We found directions within video models that enable smooth control over edit strength, from subtle changes to full transformations! Check out our paper & blogpost 👇
→ View original post on X — @scobleizer, 2026-04-09 18:50 UTC