Latest AI News

Perplexity’s Portable Computer Runs Agents Locally—but Needs a 24GB Nvidia GPU

The product turns a difficult DIY local-AI setup into one application, but its hardware floor and Linux-only launch keep it aimed at well-equipped paid users.

Aug 24, 2026Models

NVIDIA Says AVO Took Claude Opus 5 From 30% to Perfect on ARC-AGI-3

The result shifts attention from training larger models to the software that gives them memory, tools and recovery loops. Its clearest limitation is equally important: the perfect score came on ARC-AGI-3’s public environments, while private sets remain the harder test.

Aug 24, 2026Products

OpenAI’s $20 ChatGPT Work Brings Codex Agents to Office Apps, With Access Still a Barrier

The product’s promise is a ChatGPT that acts across workplace systems rather than merely answering prompts. Its immediate test is whether non-engineers will grant access and navigate controls built for more autonomous software.

August 2026

12 stories

Aug 23, 2026Products

Perplexity’s Agent API Adds Managed Connectors for GitHub Code and PR Workflows

The preview feature moves service setup out of individual requests; paired with Sandbox, GitHub access can reach repository edits and pull requests, within the connected account’s permissions.

Aug 22, 2026Infrastructure

Security risk Infrastructure

AI Agents Are Turning the Web Into an Infrastructure and Security Test

Autonomous systems are driving more model calls, more web activity and new shared-service risks—while the tools for proving who created online content remain incomplete.

4 min

Aug 22, 2026Tools

Open release Tools

TrueForge Puts the Agent Harness, Not the Model, at the Center of Cost Control

The open-source release turns the session layer around an AI model into a deployable product. Its reported savings are promising, but rest on a small enterprise benchmark and leave real-world transfer unproven.

Aug 22, 2026Models

Stanford Won Databricks’ Agent Cup, but 18.8% of Questions Stumped Every Team

The live contest tested whether agents developed on one benchmark could handle an unfamiliar Treasury archive. Stanford led the field, but the unsolved questions show the limits of reliable document reasoning.

2 min

Aug 22, 2026Products

Databricks Says Its New Extraction Mode Beats Frontier Models on the Documents That Break Them

Precision Mode is designed for cross-page reasoning, enormous line-item outputs and deeply nested schemas. Databricks reports a seven-point lead over its best tested chunk-and-merge baseline, but the evaluation blends internal and public datasets.

Aug 22, 2026Models

Launch Models

DeepSeek Gives V4-Flash a Separate Vision API With a 384-Token Image Cap

The experimental model gives developers several familiar ways to submit images and a fixed upper bound on image-token use. It leaves the harder questions—visual accuracy, latency and reliability—for users to test.

Aug 21, 2026Models

Nvidia’s AVO Clears ARC-AGI-3’s Public Set. Withheld Tests Still Matter.

The result makes a strong case that long-running agent design can change benchmark outcomes. It does not yet show whether AVO transfers to ARC-AGI-3’s withheld competition environments.

Aug 21, 2026Models

Enterprise adoption Products

Open Models Are Catching the Frontier Faster. Benchmark Scores Aren’t the Whole Contest.

SemiAnalysis sees the lag from closed-model breakthroughs to open-model benchmark parity shrinking across three AI eras. But a comparable model score still leaves a harder product question: who can turn capability into dependable agent work?

4 min

Aug 19, 2026Tools

Open release Tools

TrueFoundry Gives Away Its Agent Runtime to Sell the Layer Beneath It

TrueForge gives teams a self-hosted way to run the loop around an AI agent. Its commercial bet is that governance, routing and cost controls become more valuable once those agents reach production.

4 min

Aug 19, 2026Products

OpenAI Takes Codex From Coding to Tax Returns

The pilot’s reported time savings came with human approval, targeted evaluations and sustained engineering work—constraints that complicate any promise of plug-and-play industry agents.

Aug 18, 2026Tools

Launch Tools

TestMu’s New Agent Test Shows What It Can’t Verify

Agent Assurance is built around observable effects rather than an agent’s own account of its work. Its central unresolved test is whether that evidence-based scorecard predicts safer behavior in real systems.