... probably saw the VS Code 1.117 story: "Co-authored-by: Copilot" silently added to commits by default, including for code that Copilot never wrote. Microsoft reverted it in 1.119. Good. But the revert is the wrong ending to the right story. The developer anger was about consent and accuracy both valid. What did not get picked up in the discourse was the architectural question underneath: even when Copilot does write code, a git trailer tells you almost nothing useful ... ... does not carry the prompt, the model version, the temperature

... algal blooms. It features a built-in filtering algorithm to resist interference from external factors such as light, turbidity, and color. With an IP68 high waterproof rating and corrosion-resistant materials, it can operate submerged for extended periods. Automatic temperature compensation ensures accurate detection at different water temperatures

... conversation now supports sending up to 50 attachments. Optimized the visual context construction algorithm, improving performance when handling long content (#300). Added more parameter settings for assistants, such as modalities and context input limits; some parameters have been renamed. Temperature and Top-p parameters are now precise to two decimal places (#318). Optimized the description text and error messages for Temperature

... heard the advice to "dogfood" your own app before launching. So, this weekend, I sat down and actually used my own tool, TemperTrade , to completely overhaul my trading plan for the week. The result? Yesterday was my first day applying the new discipline, and I locked in $5k in profit. But here is the reality check and the reason I built this app: Making the money is the easy part. Keeping it is the hard part. In the past ... ... Monday would usually be followed by a Tuesday where I get overconfident, trade too big, and give half of it back. My goal now isn't just "more profit," it's retention. This is exactly why I launched TemperTrade

... Understand why your CPU slows down in real time. Thermal Throttling Analyzer is a Windows-only CLI diagnostic tool that detects, explains, and visualizes CPU thermal throttling instead of just showing raw temperatures. Most tools tell you what the temperature

... heard the advice to "dogfood" your own app before launching. So, this weekend, I sat down and actually used my own tool, TemperTrade , to completely overhaul my trading plan for the week. The result? Yesterday was my first day applying the new discipline, and I locked in $5k in profit. But here is the reality check and the reason I built this app: Making the money is the easy part. Keeping it is the hard part. In the past ... ... Monday would usually be followed by a Tuesday where I get overconfident, trade too big, and give half of it back. My goal now isn't just "more profit," it's retention. This is exactly why I launched TemperTrade

... needed How Does It Work? Fully automatic & invisible! RyzenZPilot runs silently in the background and: Monitors active processes in real-time Recognizes application types automatically (Gaming, Office, Multimedia) Switches power profiles without delay or interruption Continuously optimizes performance vs. temperature

... different output. Because LLMs aren t deterministic and when your product depends on stable responses, it feels like building on sand. I got tired of playing prompt roulette. Tired of: Copy-pasting prompts into playgrounds Switching models manually Changing temperature settings Scoring responses by eye Losing track of what worked and what didn t So I built PromptPerf A fast, focused prompt testing playground built for serious AI builders. Run your prompt across GPT-4o, GPT-4, GPT-3.5 Test ... ... across temperatures

... That was the question that led me down a rabbit hole. If you ve worked with LLMs like GPT or Claude, you know the struggle: Sometimes you want creativity , other times you need precision but choosing the right temperature is guesswork. So I built something to change that. DoCoreAI : It dynamically adjusts temperature

... proof-of-concept for the AI evaluation tool - successfully testing prompts across configs (Models x Temps x Runs). https://promptperf.dev/ Hi, I am building a AI Model Prompt Optimising tool that will run through multiple AI models across various temperature settings for X number of runs. This saves time doing multiple tests, example user wants to test 3 questions/prompts for an expected answer across 4 models and the test would include 3 temperature

... Product Hunt friends! I just launched DoCoreAI an AI optimization engine that dynamically adjusts the temperature of your prompts based on reasoning, creativity, and precision. Why this matters: Most developers struggle with trial and error while tuning LLM temperature