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We turn new tools and features into one question: what can you do with them today, without unnecessary hype?

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82 practical events in the selection 72 active sources Updated

Available now

What you can try right away

A specific item, procedure and conditions verified in the original source.

Alibaba worth noting

Alibaba releases Qwen-Image-2.1 for creating and editing transparent images

available web

What you can tryQwen-Image-2.1 for generating and editing images, including transparent RGBA images

HowOpen the Qwen-Image-2.1 model demo on Hugging Face and try generating or editing an image.

TermsThe research license prohibits commercial use; commercial use requires requesting a separate license from the Qwen team.

Check access at the source ↗
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GitHub worth noting

GitHub Copilot code review service exposes an API and changes the default effort level to Balanced

restricted access API

What you can tryREST API and GraphQL API for GitHub Copilot code review with an effort level selection for each request

HowRequest a code review via the REST API or GraphQL API and optionally set the effort level for the given request.

TermsCopilot Pro, Pro+, Max, Business, or Enterprise plan.

Check access at the source ↗
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Practical radar

What deserves your attention

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OpenAI major Business and investment

OpenAI cuts prices for GPT-5.6 Luna and Terra models, says optimization of its own infrastructure by Sol made this possible

From 30 July, OpenAI reduced the price of GPT-5.6 Luna by 80 % (to 0.20 $/1.20 $ per million tokens) and Terra by 20 %. According to the company, the cuts stem from savings achieved by optimizing infrastructure with Sol; commentators point to pressure from low-cost competitors.

What you get out of it

Anyone using OpenAI API for their own projects or tools with a low-cost model (Luna) will pay significantly less for the same work than before, as illustrated by Simon Willison, who switched from Gemini to Luna because of the price.

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Meta major update New models

Zuckerberg defends the open strategy of Meta and distillation in an essay; the company also plans to open the weights of Muse Spark 1.2

To accompany the release of the open model Muse Glimmer (30B, Apache 2.0), Meta published an extensive essay by Mark Zuckerberg defending distillation and its open strategy against OpenAI and Anthropic; it also promised to open the weights of Muse Spark 1.2.

New: Mark Zuckerberg published an essay (6000+ words) on AI philosophy, governance and the strategy of Meta; The announcement includes Muse Code, an AI agent for the terminal; Meta strategically positions open-weight models as an alternative to proprietary approaches from OpenAI and Anthropic; The essay criticizes lobbying by competitors and mentions competition from Chinese open-weight models; The new strategy of Meta focuses on differentiation through an open-source approach

What you get out of it

Developers and enthusiasts can run a full-fledged agent for coding or working with files or images directly on their Mac or PC, without depending on the cloud or sending data to a third party.

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GitHub important AI agents

GitHub Copilot CLI and GitHub Copilot app tools make the computer use feature available in public preview

The computer use feature is in public preview in the GitHub Copilot CLI and GitHub Copilot app tools for macOS and Windows. According to GitHub, it allows control of desktop applications. It requires user consent, and organizations can disable it.

What you get out of it

According to GitHub, the tool can be entrusted with tasks such as summarizing browser notifications or editing a presentation; the user decides whether to allow control of a specific application.

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worth noting New models

The company Black Forest Labs has released the Flux 3 Image model for generating and multi-step editing of images

The company Black Forest Labs has released the Flux 3 Image model. According to the company, it handles multi-step edits without changing other parts of the image. It supports up to ten reference images and output of up to 4K. A free demo is available.

What you get out of it

When creating images, you can try step-by-step edits and working with up to ten reference images; preserving other parts during edits is, for now, a claim made by the company.

1 source
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worth noting New models

Ideogram releases Ideogram 4.5 model for targeted image edits

The Ideogram 4.5 model is available on the Ideogram platform and via API. According to Ideogram, it changes only the requested parts of an image. It offers four quality tiers at native 2K resolution for 0.8 to 22 cents per image.

What you get out of it

When editing a photo, you can try changing a specific element with the declared preservation of its surroundings. It is advisable to verify the reliability of this feature on your own image.

1 source
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worth noting Coding

GitHub extends the HydraFusion research preview to Visual Studio Code and the GitHub Copilot app

The HydraFusion research preview is now available in Visual Studio Code and the GitHub Copilot app. It coordinates multiple models and supports the Copilot Pro, Pro+, Business, and Enterprise plans. Company access requires an admin to enable preview features.

What you get out of it

If you're using a supported plan, you can try HydraFusion directly in Visual Studio Code or the GitHub Copilot app, without switching to the Copilot CLI tool.

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Meta important AI agents

Meta expands its Muse agent for small businesses with business accounts and external tools

Meta is expanding its Muse agent for small businesses with integration with 15 services and Facebook, Instagram, and Meta Ads business accounts. The Muse for Small Business version is free with usage limits; higher usage requires a subscription.

What you get out of it

According to Meta, a small business owner can hand the agent multi-step tasks in tools they already use, making use of the context of business accounts and customer inquiries.

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Details and sources →
GitHub important AI agents

GitHub has released a public preview of the dynamic workflows feature for controlling agents via code

The dynamic workflows feature is available in public preview in Copilot CLI, GitHub Copilot app, and GitHub Copilot SDK on all GitHub Copilot plans. It allows defining sequential and concurrent steps and agent involvement in code.

What you get out of it

For recurring tasks, you can specify in code when the agent should step in and how its result is used in subsequent steps.

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important New models

AstaBrief 8B model released for scientific reports with citations, weights and training data also available

The AstaBrief 8B model generates scientific reports with citations and is available in the Fast mode of the Asta service. The authors are releasing both the weights and the training data. According to their measurements, the entire process takes an average of 51.1 seconds compared to 178.5 seconds in Thinking mode.

What you get out of it

For research, you can use the Fast mode of the Asta service to get a preliminary report with citations more quickly, which can then be further developed.

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Details and sources →
worth noting Tools and apps

Airbnb rolls out AI property search in its app

The company Airbnb has launched AI property search in its app with text and voice queries, dynamic filters, and AI comparison of features. According to CEO Brian Chesky, the main challenge is maintaining the conversion rate, not creating the feature itself.

Part of a broader thematic overview; only this AI event has been covered.

What you get out of it

Users of the Airbnb app can now search for properties with a text or voice query and receive dynamic filters as well as AI comparisons of selected features based on their preferences.

1 source
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worth noting New models

NVIDIA releases open foundation model Kumo Tabular for tabular prediction without training

NVIDIA has released the open foundation model Kumo Tabular (28–215M parameters) for classification and regression on tabular data. According to the company, the model predicts without training, tuning, or feature engineering, and leads on the TabArena, BeyondArena, TALENT, and ScoringBench benchmarks.

What you get out of it

Data scientists and ML engineers can use the model directly for classification and regression tasks on tabular data without training, hyperparameter tuning, or manual feature creation.

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Details and sources →
GitHub worth noting AI agents

GitHub Security Lab released the open source AI agent Taskflow Agent for security auditing of Android applications

GitHub Security Lab has released Taskflow Agent, an open source AI agent that uses custom LLM prompts to automate the search for security bugs in Android applications. According to the company, the tool has thus found more than 24 vulnerabilities, for example in the navigation app OsmAnd.

What you get out of it

A security researcher or Android app developer can use the tool for an automated initial scan of their own code for typical vulnerability classes instead of purely manual analysis.

1 source
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