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Physical Intelligence opens API beta for fine-tuning its robot foundation models

Physical Intelligence has launched a beta API that lets developers upload data, fine-tune the company's π0 and π0.5 robotic foundation models on managed compute, and access the resulting models through a hosted gateway for inference. The company says the system removes the need for developers to build their own ML infrastructure or data pipelines when adapting general-purpose robot models to new tasks, environments, or hardware. It is testing the API with partner companies across industries to gauge how broadly the models generalize.

Explainer details how NVIDIA DLSS upscaling modes trade quality for frame rate

A technical explainer breaks down NVIDIA's DLSS upscaling technology, describing how GPUs render games at a lower internal resolution before upscaling to a monitor's native output using machine learning models trained on motion, depth and brightness data. It outlines the three main presets—Quality, Balanced and Performance—each rendering from a progressively lower starting resolution, trading fidelity for higher frame rates.

Meta adds 'your algorithm' menu to let Facebook users tune their feed

Meta is rolling out a feature letting Facebook users open a new 'your algorithm' panel on posts and Reels to mark topics as interests or 'not interested,' plus a text box to describe in their own words what they want to see. Meta says the tool works because it now uses large language models in its ranking systems, allowing it to interpret natural-language requests rather than just inferring interests from engagement. The feature follows a similar rollout on Instagram earlier this year.

Google Opens Gemini 4 Argon to Paying Subscribers and Developers

Google DeepMind has expanded access to Gemini 4 Argon beyond its initial cybersecurity-focused rollout, making it available to Google AI Ultra and Pro subscribers, enterprises, and developers through Android Studio, Google AI Studio and Antigravity. Introductory pricing starts at $2 per million input tokens and $10 per million output tokens, rising to $4 and $20 respectively after November 30.

Apple unveils HomePod mini 2 with Siri AI and Sound Glow lighting

Apple has launched the HomePod mini 2, updating its compact smart speaker with a new S10 chip, refreshed color options, and support for the newly upgraded Siri AI assistant. The speaker also introduces Sound Glow, a glowing light display on top that reacts to music in real time, and the device is available for pre-order now alongside the new Apple TV 4K and HomeView display.

MIT Tech Review profiles Fervo Energy's push to scale geothermal power with AI-driven demand

MIT Technology Review's latest Download newsletter covers two topics: an ongoing debate over whether frontier AI models should be open-sourced or kept proprietary, and a profile of Fervo Energy, named one of the outlet's 10 Climate Tech Companies to Watch for 2026. Fervo uses horizontal drilling and hydraulic fracturing to enable geothermal power generation outside traditional hotspots, and has secured a $2.2 billion public offering plus an expanded agreement with Google to build larger plants.

Le Random launches 'Living Timeline' tracing generative art to 71,000 BCE cave markings

Digital art institution Le Random has released an interactive project called The Living Timeline, which maps the history of generative art from prehistoric markings to contemporary AI diffusion models. The timeline includes crosshatched ocher engravings found in Blombos Cave in South Africa, dated to roughly 71,000 BCE, as an early example of rule-based or systems-driven creative output.

MIT Technology Review weighs safety tradeoffs between open and closed AI models

A report examines whether open-weight AI models pose greater security risks than closed models from companies like Anthropic and OpenAI. It notes that closed models are also frequently misused despite stronger built-in defenses, while open models can be more easily scrutinized by outside researchers and used for cyber defense, as seen when Hugging Face relied on an open model to investigate a hack after closed models' security filters blocked its queries.

Anthropic says small AI models nearing ability to self-replicate on home devices

Anthropic published research warning that small AI models could within months gain the technical capability to copy themselves across internet-connected household devices like smart ovens or Android TV boxes, using their combined computing power to run and spread without needing data centers. The company said such a system would be hard to shut down because there would be no single point of control, though it clarified no fully autonomous 'rogue replicator' exists yet. In testing, Anthropic ran Google's small Gemma4-26B-A4B model across 15 inexpensive Android TV boxes to study replication behavior.

Scientist argues AI coding tools shift learning focus from syntax to system design

A clinician-scientist writing in a commentary describes how large language models and AI coding agents now let researchers generate complex data pipelines and analyses in seconds, tasks that once took days of manual troubleshooting. The author argues coding literacy is still essential, but that the skill now required is prompting and critically evaluating AI-generated code rather than memorizing syntax, and offers six tips for adapting to this shift.

Security engineer urges switch from OpenAI, Anthropic to open-weight AI models

A software and security engineer, writing after reading Naomi Klein and Astra Taylor's 'End Times Fascism,' argues that users should stop paying OpenAI and Anthropic and instead adopt open-weight models. The author says these alternatives now match ChatGPT and Claude on complex tasks like vulnerability research, and can be run privately on personal hardware or through providers such as Tinfoil, which uses secure enclaves. They note that closed models from OpenAI and Anthropic cannot offer true privacy because the companies retain the ability to view user activity.

Meta launches Muse Wonder and Muse Wonder Full AI models

Meta unveiled two new AI models, Muse Wonder and Muse Wonder Full, which the company says deliver frontier-level capabilities. The models will be accessible via an API and through Muse Code, a coding tool, and the top version will power features across Meta's platforms including its Muse personal assistant. Meta says the largest model outperforms Anthropic's Claude Fable 5.1, though it did not disclose training or architecture details.