they are actually searching things and building stuff in realtime as you chat.
MACHINE LEARNING
-
Preparing for the future of AI Agents and Continual Learning
By
–
In 2024 I tried to tell everyone how to prepare for Agents Last month I tried to tell everyone how to prepare for Continual Learning Get ready
-
Thinking Machines launches native interaction model for realtime voice
By
–
[AINews] TML-Interaction-Small 276B-A12Bhttps://t.co/Z8FHf217oU
— Latent.Space (@latentspacepod) 12 mai 2026
Thinking Machines' Native Interaction Models – TML-Interaction-Small 276B-A12B – advances SOTA Realtime Voice and kills standard VAD
all our highlights! https://t.co/QagGmERPPw[AINews] TML-Interaction-Small 276B-A12B https://
latent.space/p/ainews-think
ing-machines-native-interaction
… Thinking Machines' Native Interaction Models – TML-Interaction-Small 276B-A12B – advances SOTA Realtime Voice and kills standard VAD all our highlights! -
Can AI determine personality traits from ChatGPT interaction history?
By
–
Can #AI ascertain our personality traits from our ChatGPT history?
by Ingrid Fadelli @TechXplore_com Learn more: https://
bit.ly/4f8EiqI #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning #ML -
The Shift from Deep Learning to Neurosymbolic AI
By
–
Deep learning hit a wall. Neurosymbolic AI rescued it.
-
Historical Research on LSTMs for Music Improvisation
By
–
The agent also reimplemented the “Blues Improvisation” experiment by @douglas_eck and @SchmidhuberAI in 2002 which show that LSTMs can learn temporal structure in music.
— hardmaru (@hardmaru) 12 mai 2026
Finding temporal structure in music: Blues improvisation with LSTM recurrent networkshttps://t.co/2oU4iIcJEr pic.twitter.com/o4Eq4KqSGqThe agent also reimplemented the “Blues Improvisation” experiment by @douglas_eck and @SchmidhuberAI in 2002 which show that LSTMs can learn temporal structure in music. Finding temporal structure in music: Blues improvisation with LSTM recurrent networks https://
sferics.idsia.ch/pub/juergen/20
02_ieee.pdf
… -
The necessity of world models in AI systems
By
–
might be the other way around. and it’s not totally clear what the term means. but you need a world model for any of these things.
-
Human-AI Bandwidth Bottleneck in Modern ML Accelerators
By
–
In modern ML accelerators, FLOPS have absolutely exploded. Often though, the bottleneck is not FLOPS but memory bandwidth. Similarly, model intelligence has exploded, causing the bottleneck to be humanAI bandwidth. At Thinky, we think that it’s important to solve this. 1/4 x.com/thinkymachines…
-
Educational Resource for Learning Neural Networks
By
–
Neural Network for Beginners! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Building-Neura
l-Ns
…