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Following DDD with a model-first approach in Spring Data JDBC? Writing Flyway/Liquibase scripts by hand and remembering DB-specific syntax is tedious and error-prone. IntelliJ IDEA lets you generate migrations directly from your entities. Read more:

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IntelliJ IDEA, a JetBrains IDE

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10,879 görüntüleme • 6 ay önce •via X (Twitter)

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Teams often start model-first, then switch to DB-first (or the other way around) 😅 Syncing both worlds manually is painful. Spring Data JDBC supports both approaches, and IntelliJ IDEA generates DB schema from entities and entities from schema 🔄
0:29

Teams often start model-first, then switch to DB-first (or the other way around) 😅 Syncing both worlds manually is painful. Spring Data JDBC supports both approaches, and IntelliJ IDEA generates DB schema from entities and entities from schema 🔄

IntelliJ IDEA, a JetBrains IDE

14,817 görüntüleme • 6 ay önce

this is super cool. there's a feature in an upcoming JetBrains IntelliJ IDEA, a JetBrains IDE that lets you trivially reverse engineer a schema into JPA entities. I've been assured that they're working on Spring Data Team JDBC support, too! // paging my friend Aleksey Stukalov come and see more today at #intellijideaconf 2025 !
1:04

this is super cool. there's a feature in an upcoming JetBrains IntelliJ IDEA, a JetBrains IDE that lets you trivially reverse engineer a schema into JPA entities. I've been assured that they're working on Spring Data Team JDBC support, too! // paging my friend Aleksey Stukalov come and see more today at #intellijideaconf 2025 !

Josh Long

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Available to everyone: The new analytics lets you query your data directly from a report in real time using ShopifyQL, for more dynamic and customizable reporting. Everyone has a data warehouse now!
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Available to everyone: The new analytics lets you query your data directly from a report in real time using ShopifyQL, for more dynamic and customizable reporting. Everyone has a data warehouse now!

tobi lutke

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Introducing `AutoRL` 📈 The world's simplest way to train a task-specific LLM with RL. *Just write a SENTENCE describing the model you want.* A chain of AI systems will generate data + rubrics and train a model for you. Powered by ART, it's open source. Link in thread:
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Introducing `AutoRL` 📈 The world's simplest way to train a task-specific LLM with RL. *Just write a SENTENCE describing the model you want.* A chain of AI systems will generate data + rubrics and train a model for you. Powered by ART, it's open source. Link in thread:

Matt Shumer

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Marble is the first product from World Labs and is powered by our multimodal world model, which lets anyone create high-fidelity, persistent 3D worlds from just a single image, video, text prompt, or 3D layout. Read more at
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Marble is the first product from World Labs and is powered by our multimodal world model, which lets anyone create high-fidelity, persistent 3D worlds from just a single image, video, text prompt, or 3D layout. Read more at

World Labs

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Announcing Roboflow Rapid: the first prompt-based model creation engine. Data labeling is dead. Go from idea to deployed model in minutes without labeling data. Upload a video, type a text prompt, and get an API. No data labeling teams. No manual annotation. No infra / dependency hell. If you are spending 95% of your time labeling data and only 5% building your app, you are doing it wrong.
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Announcing Roboflow Rapid: the first prompt-based model creation engine. Data labeling is dead. Go from idea to deployed model in minutes without labeling data. Upload a video, type a text prompt, and get an API. No data labeling teams. No manual annotation. No infra / dependency hell. If you are spending 95% of your time labeling data and only 5% building your app, you are doing it wrong.

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Today we're launching Mirelo SFX 1.6 - our first model that lets you edit sound, not just generate it. It's a meaningful first step toward full iterative sound editing. We're excited to share with you: Long Generations: generate up to 60 seconds of audio from video. Extender: extend any sound with seamless, natural tails or intros. Ambiancer: generate soundscapes that naturally end where they begin. Inpainter: clean a sound clip by replacing unwanted sounds. Read more in our blogpost in comments. SOUND ON.
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Today we're launching Mirelo SFX 1.6 - our first model that lets you edit sound, not just generate it. It's a meaningful first step toward full iterative sound editing. We're excited to share with you: Long Generations: generate up to 60 seconds of audio from video. Extender: extend any sound with seamless, natural tails or intros. Ambiancer: generate soundscapes that naturally end where they begin. Inpainter: clean a sound clip by replacing unwanted sounds. Read more in our blogpost in comments. SOUND ON.

Mirelo

31,079 görüntüleme • 3 ay önce

I'm creating 3D tours of open single cell RNA-seq data in UMAP space. Here, using data from 50k brain cells by the allen institute . ( The UMAP position and class of every cell is read into Blender, realized as a stylized, class-specific model I sculpted
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I'm creating 3D tours of open single cell RNA-seq data in UMAP space. Here, using data from 50k brain cells by the allen institute . ( The UMAP position and class of every cell is read into Blender, realized as a stylized, class-specific model I sculpted

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48,144 görüntüleme • 3 yıl önce

You can work with large SQL scripts easily in DBeaver using the Outline panel. The panel displays the full structure of your script, including all data types, and lets you quickly navigate between statements. This feature is available in desktop editions starting from version 24.0.
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You can work with large SQL scripts easily in DBeaver using the Outline panel. The panel displays the full structure of your script, including all data types, and lets you quickly navigate between statements. This feature is available in desktop editions starting from version 24.0.

DBeaver

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In our latest benchmark, a traditional text-to-SQL approach required more than 4,400 schema-related tokens per query just to provide the model with enough context to understand a 28-table insurance data model. Think about that for a second: before AI can interpret the question, it first has to read the instruction manual. What we found is that when business context is already organized and governed, AI doesn't need to repeatedly rediscover how your data works. We created this white paper to help companies direct their attention to where costs are piling up and how Mosaic directly reduces them. Read the benchmark here: #EnterpriseAI #DataAnalytics #SemanticLayer #BusinessIntelligence
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In our latest benchmark, a traditional text-to-SQL approach required more than 4,400 schema-related tokens per query just to provide the model with enough context to understand a 28-table insurance data model. Think about that for a second: before AI can interpret the question, it first has to read the instruction manual. What we found is that when business context is already organized and governed, AI doesn't need to repeatedly rediscover how your data works. We created this white paper to help companies direct their attention to where costs are piling up and how Mosaic directly reduces them. Read the benchmark here: #EnterpriseAI #DataAnalytics #SemanticLayer #BusinessIntelligence

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Describe it. Watch it appear in SolidWorks. CADAI Assistant lets you describe the component you need in plain language—and delivers a fully editable SolidWorks model in seconds, built from your company’s data, design standards, and existing workflows. Spend less time on setup & more time on innovation.
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Describe it. Watch it appear in SolidWorks. CADAI Assistant lets you describe the component you need in plain language—and delivers a fully editable SolidWorks model in seconds, built from your company’s data, design standards, and existing workflows. Spend less time on setup & more time on innovation.

CADAICO

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IN 1986 MIT FILMED THE LECTURE WHERE CODE STOPPED BEING CODE AND BECAME DATA 43 minutes from Gerald Sussman, in the most legendary intro programming course ever recorded. -> The idea that lands: to a program, your code is just data it can read and rewrite. He builds a program that does real calculus -- not by crunching numbers, but by reading the math as a list and transforming it piece by piece. Then he shows the trick hiding under all of it: in this language, code and data are the same material. Forty years later that is exactly what an AI coding agent is -- a program that reads your code as data, rewrites it, and hands it back. Sussman drew the whole idea on a blackboard in 1986. Writing code was never the deepest skill -- understanding that code itself is data a program can manipulate is. This is where you learn it. Most people think AI writing code is brand new. The ones who watch this saw the blueprint 40 years ago. Bookmark & Watch it. This one's a legend ↓
43:30

IN 1986 MIT FILMED THE LECTURE WHERE CODE STOPPED BEING CODE AND BECAME DATA 43 minutes from Gerald Sussman, in the most legendary intro programming course ever recorded. -> The idea that lands: to a program, your code is just data it can read and rewrite. He builds a program that does real calculus -- not by crunching numbers, but by reading the math as a list and transforming it piece by piece. Then he shows the trick hiding under all of it: in this language, code and data are the same material. Forty years later that is exactly what an AI coding agent is -- a program that reads your code as data, rewrites it, and hands it back. Sussman drew the whole idea on a blackboard in 1986. Writing code was never the deepest skill -- understanding that code itself is data a program can manipulate is. This is where you learn it. Most people think AI writing code is brand new. The ones who watch this saw the blueprint 40 years ago. Bookmark & Watch it. This one's a legend ↓

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Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. For example, generate graphs from data. 5. AnswerThis will generate variety of graphs 6. It also generates an insightful data analysis report. You can download the graphs and the report. Try AnswerThis today. It’s FREE.
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Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. For example, generate graphs from data. 5. AnswerThis will generate variety of graphs 6. It also generates an insightful data analysis report. You can download the graphs and the report. Try AnswerThis today. It’s FREE.

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A new Air release is out From now on: add your favorite agents like Github Copilot, Opencode, and 17 others, and run local models through the ACP. With this release Air also gets Java language support, powered by IntelliJ IDEA code engine. Let us guide you through it🧵
0:36

A new Air release is out From now on: add your favorite agents like Github Copilot, Opencode, and 17 others, and run local models through the ACP. With this release Air also gets Java language support, powered by IntelliJ IDEA code engine. Let us guide you through it🧵

JetBrains Air

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Impressive on every dimension! Genesis AI has announced GENE-26.5, its first robotic foundation model, aimed at achieving human-level dexterous manipulation: - Single model, shared weights, handles egg cracking, lab pipetting, bimanual Rubik's Cube, smoothie making, and wire harnessing. Most tasks: under 1 hour of task-specific data, 1x real-world speed. - Genesis Hand 1.0: human-size, 20 active DoF, soft-contact skin. Paired glove gives a 1:1:1 mapping (glove, human hand, robot hand). 100x cheaper than teleop, 5x more data-efficient internally. - Data engine pulls from three sources: glove data, egocentric (head-cam) video, and large-scale internet video. The 1:1 hand-to-human match closes the embodiment gap, letting Genesis use video data more effectively than rivals. - Flow matching across vision, tactile, proprioception, and language inputs. Per Genesis, scaling data and compute directly improves zero-shot
3:55

Impressive on every dimension! Genesis AI has announced GENE-26.5, its first robotic foundation model, aimed at achieving human-level dexterous manipulation: - Single model, shared weights, handles egg cracking, lab pipetting, bimanual Rubik's Cube, smoothie making, and wire harnessing. Most tasks: under 1 hour of task-specific data, 1x real-world speed. - Genesis Hand 1.0: human-size, 20 active DoF, soft-contact skin. Paired glove gives a 1:1:1 mapping (glove, human hand, robot hand). 100x cheaper than teleop, 5x more data-efficient internally. - Data engine pulls from three sources: glove data, egocentric (head-cam) video, and large-scale internet video. The 1:1 hand-to-human match closes the embodiment gap, letting Genesis use video data more effectively than rivals. - Flow matching across vision, tactile, proprioception, and language inputs. Per Genesis, scaling data and compute directly improves zero-shot

The Humanoid Hub

95,691 görüntüleme • 3 ay önce

New short course: Collaborative Writing and Coding with OpenAI Canvas! Explore new ways to write and code with OpenAI Canvas, a user-friendly interface that allows you to brainstorm, draft, and refine text and code in collaboration with ChatGPT. In the short course, created with OpenAI, and taught by , a research lead at OpenAI, you’ll learn to use Canvas to enhance your workflows. Canvas lets you go beyond simple chat interactions. It provides a side-by-side workspace where you and ChatGPT can edit and refine text or code collaboratively. This makes brainstorming, drafting, and iterating as you write feel more natural and effective. As the first major update to ChatGPT’s visual interface since its launch in 2022, Canvas gives a new, innovative approach to collaboration with AI. For instance, after writing the first version of your code, Canvas can review it and give suggestions for improvement. It can also help with debugging by adding logging, identifying problems to fix, and writing comments. In addition, you'll also learn what it takes to train the model for an interface like Canvas. In this video-only short course, you’ll: - Learn how to ask for in-line feedback and control the iteration of your work by directly editing selected areas of your text or code from the model’s output. - Learn how to access quick automation tools in a shortcut menu that allows you to modify your writing tone and length, enhance your code, and restore previous versions of your work. - Learn how to use Canvas as a research assistant tool with an example of asking the model to reason through the screenshot of a plot to write a research report, in which you can ask questions within the created report. - Ask the model to write Python code to replicate the graph seen on a screenshot image. - Go behind the scenes of how you can create a video game, such as Space Battleship, from scratch, edit it, and display it in one self-contained HTML file. - Get a real-world application example of creating a SQL database from the image of its architecture. - Understand the model training and design processes that power Canvas! Please sign up here:
1:49

New short course: Collaborative Writing and Coding with OpenAI Canvas! Explore new ways to write and code with OpenAI Canvas, a user-friendly interface that allows you to brainstorm, draft, and refine text and code in collaboration with ChatGPT. In the short course, created with OpenAI, and taught by , a research lead at OpenAI, you’ll learn to use Canvas to enhance your workflows. Canvas lets you go beyond simple chat interactions. It provides a side-by-side workspace where you and ChatGPT can edit and refine text or code collaboratively. This makes brainstorming, drafting, and iterating as you write feel more natural and effective. As the first major update to ChatGPT’s visual interface since its launch in 2022, Canvas gives a new, innovative approach to collaboration with AI. For instance, after writing the first version of your code, Canvas can review it and give suggestions for improvement. It can also help with debugging by adding logging, identifying problems to fix, and writing comments. In addition, you'll also learn what it takes to train the model for an interface like Canvas. In this video-only short course, you’ll: - Learn how to ask for in-line feedback and control the iteration of your work by directly editing selected areas of your text or code from the model’s output. - Learn how to access quick automation tools in a shortcut menu that allows you to modify your writing tone and length, enhance your code, and restore previous versions of your work. - Learn how to use Canvas as a research assistant tool with an example of asking the model to reason through the screenshot of a plot to write a research report, in which you can ask questions within the created report. - Ask the model to write Python code to replicate the graph seen on a screenshot image. - Go behind the scenes of how you can create a video game, such as Space Battleship, from scratch, edit it, and display it in one self-contained HTML file. - Get a real-world application example of creating a SQL database from the image of its architecture. - Understand the model training and design processes that power Canvas! Please sign up here:

Andrew Ng

128,180 görüntüleme • 1 yıl önce

📊 Behind every great business is… a spreadsheet. Budgets, forecasts, inventory, project plans. It is where the real work happens. Now, Manus builds them for you. From a single prompt, you can generate full spreadsheets with structure, formulas, charts, and logic baked in. No syntax needed. No manual formatting. Whether you’re cleaning raw data, modeling growth, or tracking operations—Manus helps you go from idea to working system in seconds. Spreadsheets just got a serious upgrade. Now, anyone can be a spreadsheet master.
0:51

📊 Behind every great business is… a spreadsheet. Budgets, forecasts, inventory, project plans. It is where the real work happens. Now, Manus builds them for you. From a single prompt, you can generate full spreadsheets with structure, formulas, charts, and logic baked in. No syntax needed. No manual formatting. Whether you’re cleaning raw data, modeling growth, or tracking operations—Manus helps you go from idea to working system in seconds. Spreadsheets just got a serious upgrade. Now, anyone can be a spreadsheet master.

Manus

64,137 görüntüleme • 1 yıl önce

That's a great advertisement for my research, thank you, The Vertlartnic. It's all in your head. The first study mentioned in the video below is our work. The video and the data are from 2022 and not preliminary anymore. You can read here: #NeuroCovid
2:19

That's a great advertisement for my research, thank you, The Vertlartnic. It's all in your head. The first study mentioned in the video below is our work. The video and the data are from 2022 and not preliminary anymore. You can read here: #NeuroCovid

Danielle Beckman

19,659 görüntüleme • 1 yıl önce