What if AI could scale its reasoning without wasting compute? Researchers from NUS, Georgia Tech, and other institutions present PRISM — a test-time scaling method for discrete diffusion language models (dLLMs). It uses hierarchical search to prune and reallocate compute
MACHINE LEARNING
-
Long papers let AI create personalized summaries for each reader
By
–
Write long papers, so AI can shorten them in different ways for different people.
-
Gemini 3.5 Flash achieves insane evaluation scores for its size
By
–
Insane evals for a Flash model! Gemini 3.5 Flash is really good for its size!
-
Four essential AI prompt templates everyone should know
By
–
4 prompt templates everyone should know • Structured → precision
• Analytical → research
• Conversational → ideas
• Planning → execution Great prompts are frameworks, not guesses. Via Giuliano Liguori (
@ingliguori
) #AI #Prompts #GenAI -
The Role of Spatial Mapping in AI Automation
By
–
This is why Radar just hit a $1B valuation. The industry is realizing the AI ‘brain’ is only as good as its eyes. To scale, automation needs a map that matches reality, not a best guess.
-
AI-driven perception enables precise robotic navigation
By
–
With 99% accuracy and 400x precision, they can see through boxes and pallets. It’s the difference between a robot that wanders and one that knows where to go.
-
Limitations of Markovian Models in AI Agent Trajectory Planning
By
–
Most human tasks are not Markovian, the optimal next action cannot be determined solely by looking at the current state. It depends heavily on the past trajectory, the original intent, and context constraints. An agent that cannot compress and track its past trajectory with
-
Improving AI stability via deterministic RNG and low-rank perturbations
By
–
of course but EGGROLL’s deterministic RNG exactly reconstructs every low-rank perturbation from seeds making evolutionary paths more auditable/replayable than backprop and Could strengthen persistent AI stability
-
Who controls AI infrastructure and data? Dell AI Factory
By
–
One of the biggest enterprise AI questions right now is simple: who controls the infrastructure and the data? That’s why this matters. Bringing @MistralAI models into the Dell AI Factory with NVIDIA gives enterprises more control over how they train, deploy, and scale AI without
