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There will be no singularity

Smartface, technologies and decay @antonrevyako

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Don’t Believe the Big Database Hype, Stonebraker Warns

How we store and serve data are critical factors in what we can do with data, and today we want to do oh-so much. That big data necessity is the mother of

Repost from Generative Anton
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Из сорцов sqlite
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Sam Willis (@samwillis)

What if psql had an \ai command? This is PGlite (WASM Postgres) and Llama3 (via WebLLM & WebGPU) running completely in the browser - no cloud, no server🤯 Local AI is coming sooner than you think!

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Anton Revyako on LinkedIn: #datacloudsummit #snowflake #snowflakedatacloud #datalineage

WE NEED TO GO DEEPER, SNOWFLAKE! ============================== We are constantly looking for ways to make the already excellent data lineage tool, dwh.dev…

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OtterTune is dead… https://ottertune.com/
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OtterTune is dead… https://ottertune.com/
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AI-Powered Automatic PostgreSQL & MySQL Tuning | OtterTune

OtterTune uses AI to automate database tuning and solves configuration problems to optimize PostgreSQL & MySQL performance and lowers costs.

Hey friends, We built a database performance management tool Releem that helps engineers to keep database servers fast, secure and reliable. Why Releem: - Automatic performance tuning - Fast slow query identification - Monitoring & tuning in one place - MySQL / MariaDB & AWS RDS. - Open-source agent After few years development we launched on Product Hunt. If you interested in such solutions, have some questions or feedback appreciate your support❤️ here https://www.producthunt.com/posts/releem
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Releem - Database performance management tool for developers | Product Hunt

Releem makes managing and tuning database servers easy. ⚙️ Automatic performance tuning 🐇 Fast slow query identification ✔️ Monitoring & tuning in one place 🔀 MySQL / MariaDB & AWS RDS. 🌐 Open-source agent

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A friend of mine is on a product hunt today!
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Friends from Luna Park are looking for a Data Engineer — could be you or someone you know (could be DS, Python dev or ML engineer if you ask me) Palabra.ai — the first ever real-time voice interpreter: starting as a tiny team of five engineers, they built a speech-to-text solution that works 50 times faster than OpenAI's Whisper! The interpreter prototype is releasing in a month and will work in Zoom with a two-second delay — right now it’s one of a kind! They are now looking for a senior engineer, who will write and optimize complex multi-node data pipelines, work on large-scale data scraping and manage datasets that include hundreds of thousands of hours of audio data. Key requirements: 🟣5+ years of industry experience as a software developer/data engineer; 🟡Python skills (including modern backend frameworks, low-level asyncio, multithreading/multiprocessing); 🔵A good grasp on neural networks and related tools (NumPy, PyTorch, audio-related libraries such as torchaudio, librosa, etc); 🟢Experience in deploying, orchestrating, and scaling multi-node pipelines in the cloud. Nice-to-haves: 🔘Compilated languages such as Go, C/C++, and Rust; 🔘CUDA or other GPU-related frameworks experience; 🔘Audio processing-related experience. Salary is $70k-100k, plus equity up to 1%. It’s a fully remote position. To apply or learn more, reach out to my Luna Park buddy Fedya @owlkov
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