📰 Dev.to · pickuma
7 articles · Updated every 3 hours · View all reads
All
Articles 99,163Blog Posts 114,426Tech Tutorials 25,055Research Papers 20,774News 15,776
⚡ AI Lessons

Dev.to · pickuma
🧠 Large Language Models
⚡ AI Lesson
4w ago
OpenAI Daybreak vs Anthropic Glasswing: Convergent Bets on LLM Security Tooling
OpenAI's Daybreak (GPT-5.5 + Codex Security) and Anthropic's Glasswing shipped near-identical AppSec products the same week. What the convergence means and how

Dev.to · pickuma
🧠 Large Language Models
⚡ AI Lesson
1mo ago
Anthropic vs OpenAI: What the Latest Releases Mean for AI Developers
Anthropic and OpenAI keep shipping new models, tiers, and API features. Here's how to tell a refactor from a headline, sorted into model capability, pricing, an

Dev.to · pickuma
🧠 Large Language Models
⚡ AI Lesson
1mo ago
Streaming AI Inference: The Software Fix That Cuts LLM Energy Bills
Most LLM inference waste is a scheduling problem, not a hardware one. Continuous batching, KV-cache management, speculative decoding, and model routing cut ener

Dev.to · pickuma
🧠 Large Language Models
⚡ AI Lesson
1mo ago
OpenAI GPT-Realtime-2: What GPT-5-Class Reasoning Actually Changes for Voice Agents
OpenAI's GPT-Realtime-2 is the first speech model with GPT-5-class reasoning. Here's what genuinely changes for voice agents — and what to test before you migra

Dev.to · pickuma
🧠 Large Language Models
⚡ AI Lesson
1mo ago
Unsloth + NVIDIA: 1.6x Faster LLM Fine-Tuning With 70% Less VRAM
Unsloth's NVIDIA collaboration claims 1.6x faster LLM fine-tuning and 70% lower VRAM usage for Llama, Mistral, and Qwen. We break down what the numbers actually

Dev.to · pickuma
🧠 Large Language Models
⚡ AI Lesson
1mo ago
Claude as a User-Space IP Stack: What an ICMP Ping Benchmark Reveals About LLM Latency
Adam Dunkels wired Claude into a user-space TCP/IP stack and benchmarked it against ICMP ping. The latency floor it reveals is the most honest stress test we ha

Dev.to · pickuma
🧠 Large Language Models
⚡ AI Lesson
1mo ago
Why Local AI Should Be the Default for Developers in 2026
The case for running models on your laptop instead of paying per-token API bills: where local AI (Ollama, LM Studio, llama.cpp) wins on cost, latency, and priva
DeepCamp AI