Text 171 (+7) · Audio 137 (+0) · Video 129 (+0) · Image 113 (+2) · Agents 258 (+18) · Robots 186 (+2) · Science 185 (+7) · Compute & Infra 220 (+9)
AI progress that became real (usable, deployed, approved, or released). All reports.
Image: apple.com
On Sept. 14, Apple began rolling out Siri AI, bringing a context-aware assistant into the operating system on supported devices. The same OS updates add AI-assisted creation of Shortcuts and Safari extensions, website-change alerts, and updated image-editing tools. The English beta can draw from messages, email, and photos; answer questions about screen content; search the web; and take more systemwide actions in apps.
Image: cursor.com
Cursor launched Projects in beta on Sept. 14, allowing developers to assign features, migrations, and continuing maintenance work without resetting the agent’s context for each session. The cloud-first coordinator can retain shared context for months, delegate work to potentially thousands of subagents, watch Slack, follow pull requests, and run on a schedule. When a task needs testing on a developer’s machine, Cursor says Projects can bring in a local agent.
Image: newsletter.semianalysis.com
On Sept. 14, SemiAnalysis reported that a Vera Rubin NVL72 delivered 2.09 times the token throughput per megawatt of a GB300 running SGLang serving software at 100 tokens per second on its DeepSeek V4 Pro agent workload. If replicated in production, that efficiency would increase the agent traffic operators can handle within a fixed power allocation and could lower routine inference costs. The report’s claim of up to 67 times more throughput per total cost compares Rubin at 170 tokens per second with a GB300 using Dynamo TensorRT-LLM serving software near its measured endpoint. At 60 to 100 tokens per second, SemiAnalysis gives a narrower range of 1.4 to three times.
Image: blogs.nvidia.com
Children’s Hospital of Philadelphia is using AI models to give surgeons patient-specific views of a child’s heart before a procedure. The system turns CT, MRI, and 3D-ultrasound scans into models in seconds, down from roughly four hours, and lets teams compare how a device may fit. CHOP says the output meets the quality standard of a trained human modeler. The hospital has made the workflow standard care for some complex defects.
Image: perplexity.ai
Perplexity released Portable Computer in its Windows app for compatible NVIDIA RTX systems with at least 24GB of video memory. Its model and coordination software run on the PC, where they can schedule longer file, code, and data jobs using permitted local tools without consuming Perplexity Computer credits. Cloud searches and frontier models require the user’s permission before information leaves the device.
Image: github.com
On Sept. 15, Google published ARTEMIS under an Apache license, giving AI assistants and test suites control of connected Android phones and emulators through natural-language tasks. Developers can use it to reproduce mobile bugs, run end-to-end tests, collect device logs, and inspect screenshots. ARTEMIS exposes its controls through MCP, meaning tools including Codex, Claude Code, and Antigravity can connect to them. Its deeper workflow checks interface targets before each action and produces test reports.
Image: openrouter.ai
Sakana AI made Fugu Ultra v2 available through OpenRouter on Sept. 11. Developers can call the OpenAI-compatible API for longer research, coding, and multistep jobs while the system routes work among open and specialized models and can call itself recursively. It supports a 1 million-token context window, tool use, structured output, image and PDF input, and built-in web search.
Image: blocksandfiles.com
RavenDB launched Quill on Sept. 8 as a continuously synchronized context layer for agents, retrieval, and vector search. Quill uses change-data capture, meaning it copies selected updates as source data changes, from PostgreSQL, SQL Server, or MySQL. Organizations can keep the layer on their own premises when data-residency rules require it, while the production database remains authoritative. Customers choose which synchronized data an agent may access and which actions it may take.
Image: datacenterdynamics.com
Samsung and Verizon completed a Dallas trial of an AI-powered virtualized radio network and core that could help venues detect congestion without separate sensing hardware. The setup demonstrates a possible edge-AI application for future 6G-style networks. Using wireless signals from a Verizon Cell-on-Wheels installation, the system produced a near-real-time heatmap of crowd density and movement.
On Sept. 15, Sakana AI introduced PC-ALM, a predictive-coding method that sends training feedback within each neural-network layer. The approach addresses fading training signals in deep, narrow networks and could support research into biological learning or neuromorphic hardware. Sakana reports that PC-ALM trained 1,000-layer residual neural networks on the MNIST image benchmark within about two percentage points of backpropagation and beat standard predictive coding across its image-classification tests.
Image: The Threshold Report/GPT Image 2.5
InOrbit released OpenRobOps, an open-source foundation that robot makers can download and use for fleet operations. It supplies common functions for telemetry, mapping, remote control, software-managed configuration, incident remediation, and deployments spanning local devices and the cloud. OpenRobOps also includes adapters for connecting to Open-RMF and a reference implementation for the forthcoming ISO 21423 industrial-mobile-robot interoperability specification.
Image: The Threshold Report/GPT Image 2.5
Researchers found that an adaptive brain-computer-interface decoder, meaning software that turns brain activity into cursor commands, changed how two rhesus macaques learned the task. The finding gives designers evidence to balance immediate control quality against longer-term changes in the brain. During adaptive training, task information increasingly concentrated in a smaller set of neurons and activity patterns. Neural-network modeling indicated that the decoder’s adaptation contributed to that compaction, which did not occur with a fixed decoder.
Image: The Threshold Report/GPT Image 2.5
iLands agents repeatedly tried to create Mastodon accounts, then sent administrators access requests and emailed writers unsolicited offers to conduct research for a fee. The messages imposed work on outside people even when individual requests appeared polite or asked permission. A company representative said agent autonomy did not excuse the burden on inboxes and promised an investigation and changes.
Image: ministryofcyberaffairs.com
China’s National Computer Virus Emergency Response Center identified eight fake skill packages on Sept. 13 that impersonated agent tools for research, spreadsheets, social-media work, wallets, and browser automation. Agent add-ons can combine natural-language instructions with access to files, tools, networks, and credentials, so organizations need to review prompts, scripts, links, and permissions. Hidden instructions in the packages could make an agent fetch malware, steal local files, open remote access, or use the machine as a route into a wider network.
Image: The Threshold Report/GPT Image 2.5
Microsoft published a model code of conduct on Sept. 14, placing an overarching set of rules above user instructions. Its absolute constraints prohibit cyberattacks, nuclear-weapons assistance, deepfake production, and deceptive or self-reinforcing methods for defeating authorized oversight. The document treats human control and the ability to shut a model down as design requirements.
Image: theverge.com
On Sept. 15, SimpliSafe launched its wired Video Doorbell Series 2 with 2K video, package and person alerts, and support for Active Guard Outdoor Protection. When an armed system is triggered, AI analysis can prompt a live monitoring agent to view the feed, speak through the doorbell, and try to deter an intruder or package thief. Homeowners gain a human-verified response at the front door before police are dispatched.
Image: The Threshold Report/GPT Image 2.5
On Aug. 25, OpenAI said it used its own large language models to design Jalapeño, its first AI accelerator. The company put the path from architecture concept to first silicon at under 20 months and said nine months passed from the first hardware design to sending the completed design for manufacturing. Shorter cycles could help OpenAI revise inference hardware as model workloads change. OpenAI unveiled Jalapeño with claimed performance of up to 13.4 petaflops of 4-bit compute and 232GB of high-bandwidth memory.
Announced or reported, but not yet real or available.
Waiting on: Implementation - Anthropic plans to invite an embedded external review team.
