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My favorite use-case for AI is writing logs

July 17, 2025 My favorite use-case for AI is writing logs One of my favorite AI dev products today is Full Line Code Completion in PyCharm (bundled with the IDE since late 2023). It’s extremely well-thought out, unintrusive, and makes me a more effective developer. Most importantly, it still keeps me mostly in control of my code. I’ve now used it in GoLand as well. I’ve been a happy JetBrains customer for a long time now, and it’s because they ship features like this. I frequently work with c

LLM Inference Handbook

On this page Introduction LLM Inference in Production is your technical glossary, guidebook, and reference - all in one. It covers everything you need to know about LLM inference, from core concepts and performance metrics (e.g., Time to First Token and Tokens per Second), to optimization techniques (e.g., continuous batching and prefix caching) and operation best practices. Practical guidance for deploying, scaling, and operating LLMs in production. Focus on what truly matters, not edge cas

I extracted the safety filters from Apple Intelligence models

Decrypted Generative Model safety files for Apple Intelligence containing filters Structure decrypted_overrides/ : Contains decrypted overrides for various models. com.apple.*/ : Directory named using the Asset Specifier assosciated with the safety info Info.plist : Contains metadata for the override AssetData/ : Contains the decrypted JSON files : Contains decrypted overrides for various models. get_key_lldb.py : Script to get the encryption key (see usage info below) : Script to get the en

Tools: Code Is All You Need

Tools: Code Is All You Need If you've been following me on Twitter, you know I'm not a big fan of MCP right now. It's not that I dislike the idea; I just haven't found it to work as advertised. In my view, MCP suffers from two major flaws: It isn’t truly composable. Most composition happens through inference. It demands too much context. You must supply significant upfront input, and every tool invocation consumes even more context than simply writing and running code. A quick experiment make

The inference trap: How cloud providers are eating your AI margins

This article is part of VentureBeat’s special issue, “The Real Cost of AI: Performance, Efficiency and ROI at Scale.” Read more from this special issue. AI has become the holy grail of modern companies. Whether it’s customer service or something as niche as pipeline maintenance, organizations in every domain are now implementing AI technologies — from foundation models to VLAs — to make things more efficient. The goal is straightforward: automate tasks to deliver outcomes more efficiently and s

How runtime attacks turn profitable AI into budget black holes

This article is part of VentureBeat’s special issue, “The Real Cost of AI: Performance, Efficiency and ROI at Scale.” Read more from this special issue. AI’s promise is undeniable, but so are its blindsiding security costs at the inference layer. New attacks targeting AI’s operational side are quietly inflating budgets, jeopardizing regulatory compliance and eroding customer trust, all of which threaten the return on investment (ROI) and total cost of ownership of enterprise AI deployments. AI

Nvidia’s ‘AI Factory’ narrative faces reality check as inference wars expose 70% margins

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more The gloves came off at Tuesday at VB Transform 2025 as alternative chip makers directly challenged Nvidia’s dominance narrative during a panel about inference, exposing a fundamental contradiction: How can AI inference be a commoditized “factory” and command 70% gross margins? Jonathan Ross, CEO of Groq, didn’t mince words when discussing

Groq just made Hugging Face way faster — and it’s coming for AWS and Google

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Groq, the artificial intelligence inference startup, is making an aggressive play to challenge established cloud providers like Amazon Web Services and Google with two major announcements that could reshape how developers access high-performance AI models. The company announced Monday that it now supports Alibaba’s Qwen3 32B language mode

OpenInfer raises $8M for AI inference at the edge

OpenInfer has raised $8 million in funding to redefine AI inference for edge applications. It’s the brain child of Behnam Bastani and Reza Nourai, who spent nearly a decade of building and scaling AI systems together at Meta’s Reality Labs and Roblox. Through their work at the forefront of AI and system design, Bastani and Nourai witnessed firsthand how deep system architecture enables continuous, large-scale AI inference. However, today’s AI inference remains locked behind cloud APIs and host