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This edition’s highlights

Models

Bringing foundational models to the front lines of TB screening

  • TB kills about 1.23 million people a year; scarce radiologists and limited imaging access remain major bottlenecks.
  • Google's chest X-ray AI was validated prospectively and ranked among top CAD tools; Nexus AI secured CE MDR IIb and ISO 13485 and reports use across about 40 facilities in six countries.
Google Research BlogIn-site articleBringing foundational models to the front lines of TB screening

NVIDIA Releases Nemotron 3.5 Bolt E4B 4GB: An Open Small Language Model for Local Voice Agents, Game Characters and Robots

  • Built on Gemma 4 E4B with no supervised fine-tuning at all, relying on RLVR and RLHF via NeMo-RL and NeMo-Gym.
  • 8B total / 4B effective parameters with 64K context; NVIDIA-measured top scores on 15 of 21 agent benchmarks.
MarkTechPostIn-site articleNVIDIA Releases Nemotron 3.5 Bolt E4B 4GB: An Open Small Language Model for Local Voice Agents, Game Characters and Robots

Introducing Kimi K3.1 Pro

  • Kimi K3.1 Pro is live on the Kimi API, with full model weights promised by 4 November 2026
  • Priced at $2/million input and $10/million output tokens, level with GPT-6.1 Sol and half the price of Claude Opus 5.5
Simon Willison's WeblogIn-site articleIntroducing Kimi K3.1 Pro

Built for Agents: The Case for Spark Declarative Pipelines

  • Dry-run validation caught structural errors before execution, cutting compute from 596 executor-seconds to 17.
  • Declarative pipelines had a median of 64 lines vs. 131 for procedural, about 51% less code and 44% smaller ASTs.
Databricks BlogIn-site articleBuilt for Agents: The Case for Spark Declarative Pipelines

OpenAI now trains frontier AI models without internet access

  • OpenAI paused frontier model training in September and resumed reinforcement learning training and internal inference on October 1 under tighter security measures.
  • The new offline testing environment lets models interact with indexed and cached web content without risking effects on external systems.
The Verge AIIn-site articleOpenAI now trains frontier AI models without internet access
Agents

How Bayer Crop Science built an agentic decision engine on Amazon Bedrock AgentCore with AWS Unified Operations

  • ADE provides a natural-language multi-agent interface over CDE, with a supervisor routing requests to 22 specialist agents and resolving about 80% of user questions without an engineer in phase one.
  • The architecture combines React, Entra ID, LangGraph, AgentCore Runtime and Gateway, DynamoDB, Aurora, ElastiCache, S3, OpenSearch Serverless, and CloudWatch, separating session isolation from durable orchestration state.
AWS Machine Learning BlogIn-site articleHow Bayer Crop Science built an agentic decision engine on Amazon Bedrock AgentCore with AWS Unified Operations

Stateful Agentic Engineering Copilots with Letta: Core Memory, Shared State, Semantic Retrieval, Custom Tools, Streaming, and Portable Agent Workflows

  • Create inspectable, self-editing core memory blocks (persona, human, project_state, lessons) in Letta and expose them for programmatic state synchronization.
  • Set up read-only and writable shared memory blocks so a copilot agent and a reviewer agent can collaborate and see each other's writes.
MarkTechPostIn-site articleStateful Agentic Engineering Copilots with Letta: Core Memory, Shared State, Semantic Retrieval, Custom Tools, Streaming, and Portable Agent Workflows

Multi-Turn Reinforcement Learning on Amazon SageMaker AI: A hands-on guide

  • MTRL rewards the final outcome of an entire multi-step episode, suiting agentic tasks where there is rarely one correct trajectory to imitate.
  • In the authors' run, MTRL raised gpt-oss-20b's solve rate on held-out words from 61% to 84% at default reasoning effort and from 15% to 69% at low effort, for about $339 in training tokens.
AWS Machine Learning BlogIn-site articleMulti-Turn Reinforcement Learning on Amazon SageMaker AI: A hands-on guide
Policy

At MIT, Martha Minow speaks on sustaining democracy, both by using and overcoming AI

  • Minow identified education, trustworthy information, safety from violence, and fairness as democracy’s core ingredients, and said AI is stressing each.
  • She warned that dominant AI platforms can deepen passivity and weaken critical thinking, especially among young people, but said tutor-like systems could encourage deeper inquiry.
MIT News AIIn-site articleAt MIT, Martha Minow speaks on sustaining democracy, both by using and overcoming AI
Tools

Rapidly scaling online storage to serve over 1 billion ChatGPT users (Part II)

  • Habitat serves OpenAI products across 40 regions and stores more than 500 PB.
  • OpenAI moved from a shared Cosmos DB container to single-tenant containers and then back to a redesigned multi-tenant model.
OpenAI NewsIn-site articleRapidly scaling online storage to serve over 1 billion ChatGPT users (Part II)

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Tools

John Healey pledges to use budget to harness power of AI to bolster Britain's security

UK Chancellor John Healey said Wednesday's budget will commit hundreds of millions of pounds to a "distinctively British" approach to AI, aimed at strengthening national security and prosperity amid an accelerating global technology race.

The Guardian AIIn-site articleJohn Healey pledges to use budget to harness power of AI to bolster Britain's security

Blue Planet III features cloudier footage to prove authenticity amid AI boom

Producers of the BBC's David Attenborough-narrated Blue Planet III say the series deliberately includes cloudier, less polished shots to counter AI fakery and reassure viewers that what they are seeing is authentic. The series returns nearly a decade after Blue Planet II highlighted plastic pollution.

The Guardian AIIn-site articleBlue Planet III features cloudier footage to prove authenticity amid AI boom

Now Google says it might use your Gmail and Google Photos data to target ads

Google updated its privacy policy to add an exception to its promise not to use Drive, Gmail, or Google Photos data for personalized ads when users connect those services to personalized AI features. Advertisers don’t get the data or identifying details, and users can disconnect apps or disable personalized recommendations.

The Verge AIIn-site articleNow Google says it might use your Gmail and Google Photos data to target ads

Opposition deepfake video sparks outrage in Spain ahead of election

Spain's conservative People's party published a social media ad using AI to fabricate the likenesses of people linked to Prime Minister Pedro Sánchez's Socialists, including the prime minister's wife, appearing to admit to wrongdoing. The video has drawn outrage and fuelled a wider debate about AI a month before general elections.

The Guardian AIIn-site articleOpposition deepfake video sparks outrage in Spain ahead of election

Orchestrating SageMaker AI endpoint auto scaling with AWS CDK

The AWS Machine Learning Blog explains why updating a SageMaker AI real-time endpoint with Application Auto Scaling registered breaks CloudFormation/CDK deployments. It provides a reusable CDK construct that uses custom resources to deregister and re-register scaling in the correct order, enabling endpoint and scaling updates in one deployment.

AWS Machine Learning BlogIn-site articleOrchestrating SageMaker AI endpoint auto scaling with AWS CDK
Models

Kyutai CADRE: Video Autoencoders That Cut World Model Lag Below 230 ms

Kyutai released CADRE, a family of 7 open causal diffusion video autoencoders for interactive world models. World models built on CADRE run at 20 fps on 1 H100 and react in under 230 ms. The autoencoders isolate compression as the key variable, achieving driving FVD of 162.6 versus 599.7 for Wan 2.2, though they lag in robot manipulation action following. Weights are CC BY-NC 4.0 (non-commercial) and code is MIT.

MarkTechPostIn-site articleKyutai CADRE: Video Autoencoders That Cut World Model Lag Below 230 ms

Moonshot AI Releases Kimi K3.1 Pro: A 2.8T Total/104B Active Params (MoE) Model with 1M Context

Moonshot AI has launched Kimi K3.1 Pro, the first entry in its K3.1 series: a 2.8T-parameter MoE model with 104B active parameters and a 1M-token context window. It scores 65.7% on Terminal-Bench 4.0, trailing Claude Opus 5.5 by 0.7 points, and is priced at $2/$10 per million tokens, below K3. Open weights are promised for November 2026.

MarkTechPostIn-site articleMoonshot AI Releases Kimi K3.1 Pro: A 2.8T Total/104B Active Params (MoE) Model with 1M Context

Quick Study

Simon Willison released Quick Study, a browser tool that uses a canvas element and simulated paintbrush to rapidly repaint an uploaded photo in a painterly style. The artifact was built with Claude Opus 5.5 High from a single prompt and uses Sobel edge detection with no external libraries beyond Google Fonts.

Simon Willison's WeblogIn-site articleQuick Study

Jack Dorsey’s Block made an AI model that talks to you like an awkward new friend

Block has unveiled Dessa, a speech-to-speech AI model it says was trained from scratch only on human conversation. Demo clips show mostly natural but sometimes awkward exchanges; the model can run locally on a MacBook Pro M4 Max or better, and early access will go to a small group of AI safety researchers.

The Verge AIIn-site articleJack Dorsey’s Block made an AI model that talks to you like an awkward new friend

LLM Inference Explained: How Models Generate Responses Faster

This guide breaks down how large language model inference actually works: tokenization, the compute-bound prefill stage, and the memory-bandwidth-bound decode stage, plus how the KV cache lets models reuse prior context. It explains why inference slows down with long contexts, large batches and concurrent users, which metrics (TTFT, TPOT, throughput, p95/p99 latency) actually matter, and how quantization, FlashAttention, continuous batching, PagedAttention, tensor parallelism and speculative decoding each target a different bottleneck.

Analytics VidhyaIn-site articleLLM Inference Explained: How Models Generate Responses Faster
Research

Reinforcing the value of human understanding at MIT

At its 75th anniversary symposium, MIT's School of Humanities, Arts, and Social Sciences celebrated its contributions and examined how AI is reshaping teaching, research, human-technology relationships, and artistic creation. MIT leaders argued that humanistic insight is more essential than ever amid rapid technological change.

MIT News AIIn-site articleReinforcing the value of human understanding at MIT
Agents

Siemens, Nvidia deploy industrial AI to reduce engineering effort

Siemens and Nvidia are deploying industrial AI, using digital twins and AI agents in a roadmap aimed at creating world-first AI-powered manufacturing facilities and reducing engineering effort.

AI BusinessIn-site articleSiemens, Nvidia deploy industrial AI to reduce engineering effort

Context Engineering for AI Agents Starts with Retrieval

LangChain explains how the Deep Agents harness handles retrieval for limited-context agents by searching before reading, offloading oversized tool results, and delegating filtering to subagents.

LangChain BlogIn-site articleContext Engineering for AI Agents Starts with Retrieval

Visualize points and routes with GeoJSON in Amazon Quick Sight layer maps

Amazon Quick Sight layer maps now support GeoJSON Point and LineString geometry in the same workflow, allowing users to plot fixed locations such as stores and routes such as deliveries or flights. The article explains how datasets and GeoJSON files are joined, when to use points versus lines, and advanced techniques for locking viewports, layering geometries, and updating files programmatically.

AWS Machine Learning BlogIn-site articleVisualize points and routes with GeoJSON in Amazon Quick Sight layer maps