New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers redesigned AI systems to better resemble biological brains, some models produced brain-like activity without any training at all. This challenges today’s data-hungry approach to AI...
DeepSeek Researchers Apply a 1967 Matrix Normalization Algorithm to Fix Instability in Hyper Connections
DeepSeek researchers are trying to solve a precise issue in large language model training. Residual connections made very deep networks trainable, hyper connections widened that residual stream, and training then became unstable at scale. The new method mHC, Manifold Constrained Hyper Connections, k...
Recursive Language Models (RLMs): From MIT’s Blueprint to Prime Intellect’s RLMEnv for Long Horizon LLM Agents
Recursive Language Models aim to break the usual trade off between context length, accuracy and cost in large language models. Instead of forcing a model to read a giant prompt in one pass, RLMs treat the prompt as an external environment and let the model decide how to inspect it with code, then re...
A Coding Implementation to Build a Self-Testing Agentic AI System Using Strands to Red-Team Tool-Using Agents and Enforce Safety at Runtime
In this tutorial, we build an advanced red-team evaluation harness using Strands Agents to stress-test a tool-using AI system against prompt-injection and tool-misuse attacks. We treat agent safety as a first-class engineering problem by orchestrating multiple agents that generate adversarial prompt...
How AI is reshaping work and who gets to do it, according to Mercor’s CEO
Three-year-old startup Mercor has become a $10 billion middleman in AI’s data gold rush. The company connects AI labs like OpenAI and Anthropic with former employees of Goldman Sachs, McKinsey, and white-shoe law firms, paying them up to $200 an hour to share their industry expertise and train the A...
AI Quantum Intelligence & Pic of the week (2026&01&02)
What do you get when you prompt Google Gemini (Nano Banana) to generate a creative image with no limitations - no scope, no style, no purpose, no requirements at all. This "AI Pic of the week" was the answer to that question. To be determined if the same request will produce the same result in the f...
In 2026, here's what you can expect from the AI industry: new architectures, smaller models, world models, reliable agents, physical AI, and products designed for real-world use.
Spectral Capital Signs Agreement to Acquire Telvantis Voice Services, Inc.
Advancing Path Toward Profitable Scale and Anticipated $450 Million in 2026 Revenue Spectral Capital Corporation (“Spectral” or the “Company“), a digital infrastructure and AI-forward platform company, today announced that it has signed a Definitive Stock Purchase Agreement to acquire Telvantis Voic...
A Message for 2026: The Year of Human&Curated Progress (Part 4)
The fourth and final installment in a short series of articles from various AI models and how they view the upcoming year in 2026. A 2026 New Year’s message inspiring AI, ML, robotics, and automation innovators to build boldly and shape the future responsibly. This edition is from DeepSeek.
Train Your Large Model on Multiple GPUs with Tensor Parallelism
This article is divided into five parts; they are: • An Example of Tensor Parallelism • Setting Up Tensor Parallelism • Preparing Model for Tensor Parallelism • Train a Model with Tensor Parallelism • Combining Tensor Parallelism with FSDP Tensor parallelism originated from the Megatron-LM paper.
How Cloudflare’s tokio-quiche Makes QUIC and HTTP/3 a First Class Citizen in Rust Backends
Cloudflare has open sourced tokio-quiche, an asynchronous QUIC and HTTP/3 Rust library that wraps its battle tested quiche implementation with the Tokio runtime. The library has been refined inside production systems such as Apple iCloud Private Relay, next generation Oxy based proxies and WARP’s MA...
2026: The Year We Stop Asking “Can We?” and Start Asking “Should We?” (Part 3)
The third installment in a short series of articles from various AI models and how they view the upcoming year in 2026. A 2026 New Year’s message inspiring AI, ML, robotics, and automation innovators to build boldly and shape the future responsibly. This edition is from ChatGPT.
Train Your Large Model on Multiple GPUs with Fully Sharded Data Parallelism
This article is divided into five parts; they are: • Introduction to Fully Sharded Data Parallel • Preparing Model for FSDP Training • Training Loop with FSDP • Fine-Tuning FSDP Behavior • Checkpointing FSDP Models Sharding is a term originally used in database management systems, where it refers to...
Cloudhands™ Announces Upcoming Al Platform Launch and New Exec Leadership
Cloudhands, Inc. (the “Company” or “Cloudhands”) today announced preparations for the upcoming launch of Cloudhands’ unified Al platform, along with the appointment of Tom Hebert as President and David Novick as Chief Marketing Officer. Cloudhands’ unified Al platform is the result of extensive deve...
This is the second in a short series of articles from various AI models and how they view the upcoming year in 2026. A forward looking 2026 New Year’s message for AI, machine learning, robotics, and automation enthusiasts, celebrating bold innovation, responsible tech, and the builders shaping the f...
Foundation Models as the Backbone of Next-Gen AI Platforms
Foundation models as the backbone of next-gen AI platforms, reshaping enterprise AI architecture, governance, and scale. One signal breaks through the AI noise in 2026: most enterprise AI budgets are no longer allocated to applications. They are spent on platforms. The current industry forecasts hav...
Pendo Makes Agent Analytics GA for Smarter User Interaction Insights
Pendo’s Agent Analytics is Now GA, Helping Companies See and Optimise How Users Interact With Agents Pendo, the world’s first software experience management platform, announced the general availability of Agent Analytics, expanding access to the only solution in the market for measuring the perform...
Meta just bought Manus, an AI startup everyone has been talking about
Meta says it'll keep Manus running independently while weaving its agents into Facebook, Instagram, and WhatsApp, where Meta's own chatbot, Meta AI, is already available to users.
Train Your Large Model on Multiple GPUs with Pipeline Parallelism
This article is divided into six parts; they are: • Pipeline Parallelism Overview • Model Preparation for Pipeline Parallelism • Stage and Pipeline Schedule • Training Loop • Distributed Checkpointing • Limitations of Pipeline Parallelism Pipeline parallelism means creating the model as a pipeline o...
AI’s early-2025 spending spree featured massive raises and trillion-dollar infrastructure promises. By year’s end, hype gave way to a vibe check, with growing scrutiny over sustainability, safety, and business models.