BREAKING : Meta is testing a new Paricado model family as well as Health and Document agents. Additionally, the first "pelican riding on the bike" examples from the Avocado model have been received.
INNOVATION
-
Buckets: S3-like ML Data Storage Alternative to Git
By
–
Hot take: Git was the wrong abstraction for 90% of ML data. Checkpoints, optimizer states, training logs, agent traces – none of this needs version control. It needs fast, cheap, mutable storage. So we built Buckets. S3-like storage on the @huggingface Hub with Xet dedup and
-
Neuralink BCI technology restores speech for ALS patients
By
–
Neuralink has given someone with ALS back their (own) speech. Brain implants will be the next big thing after robotics, and I'm ready for it!pic.twitter.com/RfLTYWmuLL
— Chubby♨️ (@kimmonismus) 2 avril 2026Neuralink has given someone with ALS back their (own) speech. Brain implants will be the next big thing after robotics, and I'm ready for it!
-
AI Agents: Need for External Verifier to Assess Work
By
–
Anthropic and OpenAI both published posts on agent harness design last month and arrived at the same conclusion. Agents need an external checker that gives concrete feedback. Without it, the agent praises its own mediocre work and moves on. https://goodeyelabs.com/insights/evaluation-is-the-load-bearing-part [Translated from EN to English]
→ View original post on X — @randal_olson, 2026-04-02 13:00 UTC
-
Seedance 2.0 Creative AI Visual Generation Breakthrough
By
–
The truth is that the zoom-in segment to the boy's face and then the zoom-in to the pangolin's, coming to life with that joyful expression, has me doing somersaults. Creative decisions from Seedance 2.0
-
Seedance 2.0 First Tests: Freepik’s Generative AI Tool
By
–
Primeras pruebas jugando con Seedance 2.0 desde Freepik 👀🏄♂️ pic.twitter.com/GJfCSq0Oyd
— Carlos Santana (@DotCSV) 2 avril 2026Primeras pruebas jugando con Seedance 2.0 desde Freepik
-
From Agent-1 to Superintelligence: The AI 2027 Scenario
By
–
From Agent-1 to Superintelligence: Decoding the AI 2027 Scenario and Its Profound Implications Check out my article: linkedin.com/pulse/from-agen… Via @ingliguori #AI2027 #FutureTech
→ View original post on X — @ingliguori, 2026-04-02 12:17 UTC
-
T-Mobile and NVIDIA Explore Edge AI for Reduced Latency
By
–
nitter.net/i/status/2038778987871… Harold Sinnott #MWC26 (@HaroldSinnott) From #GTC26: AI performance depends heavily on architecture. @TMobileBusiness and NVIDIA are exploring how edge compute can reduce latency by processing data closer to where it’s created. ⚡ fierce-network.com/broadband… T-Mobile for Business Partner #EdgeAI — https://nitter.net/HaroldSinnott/status/2038778987871146300#m
→ View original post on X — @haroldsinnott, 2026-04-02 12:16 UTC
-
Future of Work: Human-AI-Robot Tripartite Workforce Collaboration
By
–
The future of work isn’t Human vs. Machine.
— Harold Sinnott #MWC26 (@HaroldSinnott) 2 avril 2026
We’re moving toward a "tripartite" workforce:
People + Agents + Robots
Despite AI’s ability to automate 57% of tasks, the human element remains the competitive edge.
See why: https://t.co/wnNvytOG7u@McKinsey_MGI #AI #MWC26 #IoT… pic.twitter.com/oQ30O8xPWrThe future of work isn’t Human vs. Machine. We’re moving toward a "tripartite" workforce: People + Agents + Robots Despite AI’s ability to automate 57% of tasks, the human element remains the competitive edge. See why: mck.co/aiskills @McKinsey_MGI #AI #MWC26 #IoT #5G #FutureOfWork
→ View original post on X — @haroldsinnott, 2026-04-02 12:01 UTC