Author: Ricardo

Agentic AI AI Paper Summary

A Princeton Researcher Proposes Recurrent Looped Transformer (RLT) that Carries Decoder State across Every Token, Fixing 96 Blocks per Token with Unbounded Temporal Depth
ByRicardo September 13, 2026

In most decoder-only LLMs, nothing computed on the final layer of token t feeds the primary layer of token t+1; positions talk solely via consideration over cached keys and values. A Princeton researcher’s (Yifan Zhang) technical report, Recurrent Looped Transformer (RLT), proposes closing that loop. The decoder’s last hidden state and its layerwise sliding-window consideration…

Read More A Princeton Researcher Proposes Recurrent Looped Transformer (RLT) that Carries Decoder State across Every Token, Fixing 96 Blocks per Token with Unbounded Temporal Depth
Agentic AI AI Agents

AWS Introduces Pizza Bot: An Open Source Inbox for Background AI Agents
ByRicardo September 13, 2026

AWS launched Pizza Bot, as a self-hosted software for AI duties that proceed whereas customers work elsewhere. It organizes accomplished outcomes and pending selections into an email-style inbox. Earlier variations served greater than 2,000 folks inside Amazon, supporting assembly preparation, e mail drafting, Slack summaries, CRM logging, and analysis. The public software was rebuilt as…

Read More AWS Introduces Pizza Bot: An Open Source Inbox for Background AI Agents
Agentic AI AI Agents

Context Engineering Inside the Harness: 4 Mechanisms That Beat Context Overflow and Goal Loss on Long-Horizon Tasks
ByRicardo September 13, 2026September 13, 2026

An agent, in its easiest type, is an LLM calling instruments in a loop. That loop works for brief jobs. Give it a job that runs for an hour and 200 software calls, and it breaks in 2 predictable methods. The AWS Samples design guide for autonomous cloud coding agents names them instantly: shallow brokers…

Read More Context Engineering Inside the Harness: 4 Mechanisms That Beat Context Overflow and Goal Loss on Long-Horizon Tasks
AI Infrastructure Artificial Intelligence

Implementation of Machine Learning Workflows with NVIDIA cuML, RAPIDS, GPU Benchmarking, Explainability, Clustering, and Model Inference
ByRicardo September 13, 2026

In this tutorial, we implement NVIDIA cuML as a GPU-accelerated machine studying framework and construct a sensible workflow that demonstrates how RAPIDS can speed up acquainted information science and machine studying duties. We start by configuring the GPU surroundings and inspecting cuml.accel, which lets us speed up present scikit-learn workloads with minimal code adjustments, earlier…

Read More Implementation of Machine Learning Workflows with NVIDIA cuML, RAPIDS, GPU Benchmarking, Explainability, Clustering, and Model Inference
Agentic AI AI Shorts

Cognition Releases SWE-2: A Kimi K3 Post-Trained Coding Model That Matches Fable 5.1 on FrontierCode at 64% Lower Cost
ByRicardo September 13, 2026

Cognition, the corporate behind the Devin coding agent, has launched SWE-2, its most succesful coding mannequin thus far. SWE-2 is post-trained with reinforcement studying from Kimi K3, Moonshot AI’s 2.8T-parameter open mannequin. Cognition reviews a rating of fifty.0% on FrontierCode 1.1 Main, inside 1 level of Fable 5.1 at 64% decrease price. It can also…

Read More Cognition Releases SWE-2: A Kimi K3 Post-Trained Coding Model That Matches Fable 5.1 on FrontierCode at 64% Lower Cost
Agentic AI AI Infrastructure

Fly Language Model (FLM) Wires the Full Fruit Fly Connectome Into a Frozen 1.2B LLM, and Its Own Controls Show the Wiring Does Not Help
ByRicardo September 12, 2026

The Fly Language Model (FLM) is a public chatbot that {couples} the full retained MaleCNS v1.0 fruit fly connectome to a frozen LiquidAI LFM2.5-1.2B-Instruct spine. The developer who created the FLM calls it the world’s first Fly Language Model, constructed on an structure known as GPF (Generative Pre-trained Fly). It doesn’t use the GPF label,…

Read More Fly Language Model (FLM) Wires the Full Fruit Fly Connectome Into a Frozen 1.2B LLM, and Its Own Controls Show the Wiring Does Not Help
Agentic AI AI Paper Summary

Can LLMs Engineer Their Own Agent Harness? ByteDance Seed’s HarnessDev Says Only 34 of 64 Changes Generalize
ByRicardo September 11, 2026

An agent harness is the code round a mannequin: execution loop, instruments, context, state, restoration, and verification. Per the Terminal-Bench 2.1 leaderboard, GPT-5 solves 35.2% of duties inside Terminus 2 however 49.6% inside Codex CLI with similar weights. Most benchmarks preserve that harness fastened. HarnessDev proposed by staff of researchers from ByteDance Seed, Singapore University…

Read More Can LLMs Engineer Their Own Agent Harness? ByteDance Seed’s HarnessDev Says Only 34 of 64 Changes Generalize
Agentic AI AI Infrastructure

Anthropic Adds Plugin Evals to Claude Code: 6 Grader Types, a No-Plugin Baseline, and a CI Gate for Skills
ByRicardo September 11, 2026

Anthropic has printed a new plugin evals workflow for Claude Code. The claude plugin eval command runs a plugin towards life like prompts, grades what Claude produced, and compares the outcome with a run the place the plugin will not be loaded. It solutions 3 questions plugin builders couldn’t beforehand measure: does the ability set…

Read More Anthropic Adds Plugin Evals to Claude Code: 6 Grader Types, a No-Plugin Baseline, and a CI Gate for Skills
Articles Membership content

Why your AI on data projects keep failing (and what fixes it)
ByRicardo September 11, 2026

Let me ask you one thing. In your group proper now, what proportion of your staff use AI as a lot as you do? When I requested that query at a current AI Accelerator Institute event, fewer than 10% of fingers went up. And these had been chief AI officers. People whose literal job is…

Read More Why your AI on data projects keep failing (and what fixes it)
AI Business Strategy AI Hardware & Chips

Palantir Foundry and cuOpt drive NVIDIA supply chain allocation
ByRicardo September 11, 2026September 11, 2026

NVIDIA is utilizing Palantir Foundry and cuOpt to automate its {hardware} supply chain allocation selections throughout world manufacturing websites. The firm measures operational supply from wafer-out to first token. This window splits into time-to-rack (the transit from fab output to an assembled information centre system) and time-to-token (which covers energy, cooling, networking, and day-one software…

Read More Palantir Foundry and cuOpt drive NVIDIA supply chain allocation

Author: Ricardo

A Princeton Researcher Proposes Recurrent Looped Transformer (RLT) that Carries Decoder State across Every Token, Fixing 96 Blocks per Token with Unbounded Temporal Depth

AWS Introduces Pizza Bot: An Open Source Inbox for Background AI Agents

Context Engineering Inside the Harness: 4 Mechanisms That Beat Context Overflow and Goal Loss on Long-Horizon Tasks

Implementation of Machine Learning Workflows with NVIDIA cuML, RAPIDS, GPU Benchmarking, Explainability, Clustering, and Model Inference

Cognition Releases SWE-2: A Kimi K3 Post-Trained Coding Model That Matches Fable 5.1 on FrontierCode at 64% Lower Cost

Fly Language Model (FLM) Wires the Full Fruit Fly Connectome Into a Frozen 1.2B LLM, and Its Own Controls Show the Wiring Does Not Help

Can LLMs Engineer Their Own Agent Harness? ByteDance Seed’s HarnessDev Says Only 34 of 64 Changes Generalize

Anthropic Adds Plugin Evals to Claude Code: 6 Grader Types, a No-Plugin Baseline, and a CI Gate for Skills

Why your AI on data projects keep failing (and what fixes it)

Palantir Foundry and cuOpt drive NVIDIA supply chain allocation

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