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Watch: What happens to your CPU when Windows 11's Low Latency Profile feature is enabled. CPU usage automatically spikes briefly to speed up the launch of Windows 11's Start menu, Notifications Center, Control Center, right-click menu, and other OS-level features. The same CPU boost is coming soon to Windows... show more

Windows Latest

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Windows 11’s June 2026 Patch Tuesday update is out today, and the biggest change is Performance, not AI. Windows 11 KB5094126 finally brings Microsoft’s new Low Latency Profile to everyone. Microsoft calls it a “General Performance” improvement, but the idea is simple: when you open Start, Search, Action Center, or key shell experiences, Windows briefly pushes the CPU to max frequency for 1–3 seconds so the UI responds faster. I tested it earlier, and the difference is most obvious on budget PCs. Start feels snappier, Search opens faster, and those tiny Windows 11 micro-stutters are reduced. The catch: because of Microsoft’s Controlled Feature Rollout, installing today’s update does not guarantee it is enabled yet. You can verify it with HWiNFO by watching CPU frequency spikes while opening Start.

Windows Latest

61,421 görüntüleme • 3 ay önce

Microsoft's hidden Windows 11 trick makes apps launch 70% faster. I tested it on a low-end PC, and early results are promising. Right now, when you click Start, open File Explorer, launch Edge, or right-click for a context menu, and there’s often that tiny micro-stutter before anything happens. Microsoft is now testing a feature called Low Latency Profile. Once turned on, and you do a high-priority action, Windows 11 briefly pushes the CPU to max frequency for 1–3 seconds, finishes the task faster, then drops back down. In my testing on a constrained VM with just 2 cores and 4GB RAM, the difference was obvious. Edge, Outlook, Copilot, and the Start menu opened much faster. CPU usage spiked to around 96–97%, but only for a few seconds. For high-end PCs, the difference may be small. But for budget laptops and low-end Windows 11 machines, this could be a real game-changer.

Windows Latest

929,360 görüntüleme • 4 ay önce

Microsoft is cooking! Windows 11’s faster app launches released today, and everything is noticeably faster on low-end PCs. Windows 11’s CPU boost feature is no longer just for Start, Search, and shell flyouts. After installing the August 2026 security update, it is now silently active while opening apps too. We tested this on the same PC before and after KB5121003, and the difference is real. Notepad, Calculator, Chrome, VLC, PowerPoint, Weather, and even the Epic Games Store now trigger the same Low Latency Profile behavior Microsoft first rolled out for the Windows shell in June. The moment you open an app, Windows briefly pushes the CPU close to its maximum frequency for one to three seconds, finishes the launch work faster, and then drops back to idle. This is called “race to sleep,” and it is not a lazy trick. macOS and Linux already do similar things. CPU utilization does not spike the same way, so this is not your PC suddenly working harder forever. It is a short frequency burst to make Windows feel more responsive. I know people love mocking Windows performance, and often for good reason, but this one actually works. Apps open faster now, especially on budget and older PCs where every second of delay is noticeable. Windows 11 is finally getting the kind of performance work it should have had from day one.

Windows Latest

718,093 görüntüleme • 1 ay önce

The Windows 11 Start Menu is comically bad. This machine has a $1600 Core i9 CPU and 128 GB of RAM and this is the performance I often get. What is going on in Redmond?

The Windows 11 Start Menu is comically bad. This machine has a $1600 Core i9 CPU and 128 GB of RAM and this is the performance I often get. What is going on in Redmond?

Andy Young

2,209,614 görüntüleme • 2 yıl önce

Microsoft teases a faster and configurable context menu (right-click menu) for Windows 11 after years of complaints! Marcus Ash, who leads Design and Research for Windows and Devices, says Microsoft is working on making context menus faster, simpler by default, and configurable to what you use most. That last part is huge. Windows 11’s context menu was supposed to fix the cluttered Windows 10 right-click menu. Instead, it became slower, padded, inconsistent, and still messy. You often need “Show more options” just to reach the old menu, which defeats the whole point of redesigning it. Now Microsoft is taking the same approach it used with Start and taskbar: give users control. Resizable Start. Movable taskbar. Smaller taskbar. Customizable Start sections. And now, configurable context menus. This is the Windows 11 reset users wanted 🥳

Microsoft teases a faster and configurable context menu (right-click menu) for Windows 11 after years of complaints! Marcus Ash, who leads Design and Research for Windows and Devices, says Microsoft is working on making context menus faster, simpler by default, and configurable to what you use most. That last part is huge. Windows 11’s context menu was supposed to fix the cluttered Windows 10 right-click menu. Instead, it became slower, padded, inconsistent, and still messy. You often need “Show more options” just to reach the old menu, which defeats the whole point of redesigning it. Now Microsoft is taking the same approach it used with Start and taskbar: give users control. Resizable Start. Movable taskbar. Smaller taskbar. Customizable Start sections. And now, configurable context menus. This is the Windows 11 reset users wanted 🥳

Windows Latest

28,900 görüntüleme • 4 ay önce

It's happening! Here's your first look at a movable taskbar in Windows 11, coming soon. You'll be able to move and resize the taskbar on Windows 11, just like you did on Windows 10! It's still in internal testing, and to be clear, this video is from a virtual machine, which is why it might feel slow. Also, Microsoft won't use the right-click menu we're seeing in the video; it's only being used to quickly debug the feature. What else do you want Microsoft to improve in Windows 11? 👇

It's happening! Here's your first look at a movable taskbar in Windows 11, coming soon. You'll be able to move and resize the taskbar on Windows 11, just like you did on Windows 10! It's still in internal testing, and to be clear, this video is from a virtual machine, which is why it might feel slow. Also, Microsoft won't use the right-click menu we're seeing in the video; it's only being used to quickly debug the feature. What else do you want Microsoft to improve in Windows 11? 👇

Windows Latest

52,000 görüntüleme • 6 ay önce

Microsoft's new Outlook takes more than 10 seconds to open an email via notifications, while Outlook Classic opens instantly on Windows 11! The funniest part? If I ignore the notification, open Outlook manually, find the email myself, and click it, I can finish faster than the notification flow. It's all because Outlook for Windows is literally Microsoft Edge running Outlook .com in a browser window. New Outlook runs through WebView2 with around 10 separate processes: GPU process, service worker, utility processes, manager, and more. It uses roughly 490MB to 636MB RAM while idle, compared to Outlook Classic sitting around 117MB to 148MB. CPU usage is also worse: around 4% idle on new Outlook versus under 1% on Classic in my testing. Microsoft shut down Mail and Calendar, keeps pushing enterprises toward this web wrapper, and still wants people to believe it is the future of email on Windows. SHAME!

Microsoft's new Outlook takes more than 10 seconds to open an email via notifications, while Outlook Classic opens instantly on Windows 11! The funniest part? If I ignore the notification, open Outlook manually, find the email myself, and click it, I can finish faster than the notification flow. It's all because Outlook for Windows is literally Microsoft Edge running Outlook .com in a browser window. New Outlook runs through WebView2 with around 10 separate processes: GPU process, service worker, utility processes, manager, and more. It uses roughly 490MB to 636MB RAM while idle, compared to Outlook Classic sitting around 117MB to 148MB. CPU usage is also worse: around 4% idle on new Outlook versus under 1% on Classic in my testing. Microsoft shut down Mail and Calendar, keeps pushing enterprises toward this web wrapper, and still wants people to believe it is the future of email on Windows. SHAME!

Windows Latest

102,277 görüntüleme • 3 ay önce

Exciting news! MetaCene: Gold Rush is now available for download! Join the rush with Mantle Network and experience the thrill firsthand. Click the link below to select your region (currently supports Asia and America), and choose to download the PC or Android version. Download Now: System Requirements PC CPU: Intel Core i3 6300 RAM: 8GB Graphics Card: GTX 1050 Operating System: Windows 10/64-bit Storage: 10GB Dpi: 1920*1080 Android Device CPU Snapdragon 865 or above For other chips: see Kirin 985 MediaTek P70 Exynos 2100, etc 6GB of RAM or more #MetaCene #Web3Gaming #P2E #MMO

Exciting news! MetaCene: Gold Rush is now available for download! Join the rush with Mantle Network and experience the thrill firsthand. Click the link below to select your region (currently supports Asia and America), and choose to download the PC or Android version. Download Now: System Requirements PC CPU: Intel Core i3 6300 RAM: 8GB Graphics Card: GTX 1050 Operating System: Windows 10/64-bit Storage: 10GB Dpi: 1920*1080 Android Device CPU Snapdragon 865 or above For other chips: see Kirin 985 MediaTek P70 Exynos 2100, etc 6GB of RAM or more #MetaCene #Web3Gaming #P2E #MMO

MetaCene Universe

74,578 görüntüleme • 2 yıl önce

Breakable Windows seem to use the same "Momentum storage" system as when picking up Rampart Walls. So you can throw yourself through them and even if your melee is a bit late the game will be generous and still keep your momentum going.

Breakable Windows seem to use the same "Momentum storage" system as when picking up Rampart Walls. So you can throw yourself through them and even if your melee is a bit late the game will be generous and still keep your momentum going.

Mokey

70,697 görüntüleme • 7 ay önce

I bet you've never noticed this ultra-cool but rather complicated "cone of prediction" at the center of Windows context menus? It allows the system to predict that you're aiming for a flyout. Well, that's because Windows (at least in the old days) didn't do any such fanciness. It just uses a timeout of 400ms, and it's always worked pretty well. It's even adjustable (SPI_SETMENUSHOWDELAY) these days, but used to just be 80% of your double-click speed setting. So the faster your reflexes were - per that setting, at least - the shorter your menu flyout allowance. No cone needed. ( I stole this from a Raymond Chen hockey card that I keep tucked up in my 50 Mission Cap ).

I bet you've never noticed this ultra-cool but rather complicated "cone of prediction" at the center of Windows context menus? It allows the system to predict that you're aiming for a flyout. Well, that's because Windows (at least in the old days) didn't do any such fanciness. It just uses a timeout of 400ms, and it's always worked pretty well. It's even adjustable (SPI_SETMENUSHOWDELAY) these days, but used to just be 80% of your double-click speed setting. So the faster your reflexes were - per that setting, at least - the shorter your menu flyout allowance. No cone needed. ( I stole this from a Raymond Chen hockey card that I keep tucked up in my 50 Mission Cap ).

Dave W Plummer

45,344 görüntüleme • 7 ay önce

Quick update on the water situation 💦 M3 Ultra and Titan (RTX6000 Pro) seem to have recovered with little to no visible damage. The main issues are with my MacBook which is in service and Titan CPU temperatures being above avg when idling (58C up from 35C prior to water incident). Anyways, here is a video of MLX-VLM serving Qwen3-4B-Instruct on Titan (~300 tok/s) to do autocomplete and git commit message generation completely locally via Zed IDE.

Quick update on the water situation 💦 M3 Ultra and Titan (RTX6000 Pro) seem to have recovered with little to no visible damage. The main issues are with my MacBook which is in service and Titan CPU temperatures being above avg when idling (58C up from 35C prior to water incident). Anyways, here is a video of MLX-VLM serving Qwen3-4B-Instruct on Titan (~300 tok/s) to do autocomplete and git commit message generation completely locally via Zed IDE.

Prince Canuma

17,065 görüntüleme • 4 ay önce

You don't need a GPU for fast studio grade voice cloning anymore. Qwen3 TTS (1.7B Q4_K_M) + mainline llama.cpp is officially the fastest way to generate zero shot voice clones using 100% pure CPU execution. Following up on my last post where we ran the Q8 model on a GPU, we just took local C++ voice synthesis a massive step further. The open source community quantized Alibaba's SOTA Qwen3 TTS model down to Q4_K_M GGUF, completely freeing local audio pipelines from dedicated graphics hardware. Here is the real world benchmark and hardware breakdown of running SOTA voice cloning on CPU: # Architecture & Model Setup Using Qwen3-TTS-12Hz-1.7B-Base-Q4_K_M.gguf paired with the 8 bit multimodal projector (mmproj-Q8_0.gguf), llama.cpp executes the entire pipeline in pure C++. No PyTorch, no CUDA dependencies, and no VRAM bottlenecks. # Real-World Memory Footprint - Baseline RAM: 1.6 GB system idle. - Peak Generation RAM: 8 GB RAM during active voice synthesis. - Requirement: Any basic machine with at least 8 GB of system RAM can run this easily. # Real World CPU Benchmarks - Google Colab Free Tier (Throttled 2 Core CPU): Synthesizes a 5 sec studio quality audio clip (~8 words) in 45 seconds. - Modern Consumer CPU (Intel i5/i7 13th/14th Gen or AMD Ryzen 7000/9000): generation should drop to 5 to 20 seconds (nearly 1:1 real-time generation speed!). # Zero Shot Voice Cloning Quality Pass any 5 to 20 second .wav audio sample to the C++ engine using the --tts-speaker-file flag. It yields clean, natural sounding cloned speech with virtually zero quality loss compared to unquantized FP16 weights. To make testing seamless, I built an updated zero config Google Colab notebook. It pulls the official pre built llama.cpp CPU binaries (zero compilation time!) launches a live Gradio web app right in your browser. Record a 5 second clip from your mic (or drop a .mp3, .wav file), type text, and generate cloned audio on CPU. Native C++ audio models are making edge based, offline AI voice agents a reality. Links to the free Q4 CPU Colab notebook and the Q4_K_M GGUF HuggingFace repository are in the replies below! Which models have you been running on your CPUs? What CPU hardware are you using for local inference?

You don't need a GPU for fast studio grade voice cloning anymore. Qwen3 TTS (1.7B Q4_K_M) + mainline llama.cpp is officially the fastest way to generate zero shot voice clones using 100% pure CPU execution. Following up on my last post where we ran the Q8 model on a GPU, we just took local C++ voice synthesis a massive step further. The open source community quantized Alibaba's SOTA Qwen3 TTS model down to Q4_K_M GGUF, completely freeing local audio pipelines from dedicated graphics hardware. Here is the real world benchmark and hardware breakdown of running SOTA voice cloning on CPU: # Architecture & Model Setup Using Qwen3-TTS-12Hz-1.7B-Base-Q4_K_M.gguf paired with the 8 bit multimodal projector (mmproj-Q8_0.gguf), llama.cpp executes the entire pipeline in pure C++. No PyTorch, no CUDA dependencies, and no VRAM bottlenecks. # Real-World Memory Footprint - Baseline RAM: 1.6 GB system idle. - Peak Generation RAM: 8 GB RAM during active voice synthesis. - Requirement: Any basic machine with at least 8 GB of system RAM can run this easily. # Real World CPU Benchmarks - Google Colab Free Tier (Throttled 2 Core CPU): Synthesizes a 5 sec studio quality audio clip (~8 words) in 45 seconds. - Modern Consumer CPU (Intel i5/i7 13th/14th Gen or AMD Ryzen 7000/9000): generation should drop to 5 to 20 seconds (nearly 1:1 real-time generation speed!). # Zero Shot Voice Cloning Quality Pass any 5 to 20 second .wav audio sample to the C++ engine using the --tts-speaker-file flag. It yields clean, natural sounding cloned speech with virtually zero quality loss compared to unquantized FP16 weights. To make testing seamless, I built an updated zero config Google Colab notebook. It pulls the official pre built llama.cpp CPU binaries (zero compilation time!) launches a live Gradio web app right in your browser. Record a 5 second clip from your mic (or drop a .mp3, .wav file), type text, and generate cloned audio on CPU. Native C++ audio models are making edge based, offline AI voice agents a reality. Links to the free Q4 CPU Colab notebook and the Q4_K_M GGUF HuggingFace repository are in the replies below! Which models have you been running on your CPUs? What CPU hardware are you using for local inference?

Alok

105,756 görüntüleme • 1 ay önce

Most people use Linux every day. But Very few understand what actually happens after they press the power button. >>>Here’s the sequences Linux goes through before you get the login screen. Power button pressed → BIOS or UEFI initializes hardware and runs POST. Firmware locates the bootloader from disk. Bootloader loads the Linux kernel and initramfs into RAM. Kernel decompresses and takes control of the CPU. Memory management and the scheduler are initialized. Device drivers load to communicate with hardware. Temporary root filesystem mounts from initramfs. PID 1 starts as systemd and userspace begins. System services and daemons start in order. Login prompt or GUI becomes available. You run a command and it becomes a process with a PID. Process runs in user mode with limited privileges. When hardware access is needed, a system call is made. CPU switches from user mode to kernel mode. Kernel validates the request and executes through drivers. Result is returned back to user space. Scheduler continuously allocates CPU time across processes. Virtual memory isolates and protects processes. Filesystem manages data abstraction over storage. Network stack processes packets inside the kernel. Linux is the kernel coordinating hardware, processes, memory, and security through strict privilege control.

Most people use Linux every day. But Very few understand what actually happens after they press the power button. >>>Here’s the sequences Linux goes through before you get the login screen. Power button pressed → BIOS or UEFI initializes hardware and runs POST. Firmware locates the bootloader from disk. Bootloader loads the Linux kernel and initramfs into RAM. Kernel decompresses and takes control of the CPU. Memory management and the scheduler are initialized. Device drivers load to communicate with hardware. Temporary root filesystem mounts from initramfs. PID 1 starts as systemd and userspace begins. System services and daemons start in order. Login prompt or GUI becomes available. You run a command and it becomes a process with a PID. Process runs in user mode with limited privileges. When hardware access is needed, a system call is made. CPU switches from user mode to kernel mode. Kernel validates the request and executes through drivers. Result is returned back to user space. Scheduler continuously allocates CPU time across processes. Virtual memory isolates and protects processes. Filesystem manages data abstraction over storage. Network stack processes packets inside the kernel. Linux is the kernel coordinating hardware, processes, memory, and security through strict privilege control.

Akhilesh Mishra

35,042 görüntüleme • 7 ay önce

Holy shit... Microsoft open sourced an inference framework that runs a 100B parameter LLM on a single CPU. It's called BitNet. And it does what was supposed to be impossible. No GPU. No cloud. No $10K hardware setup. Just your laptop running a 100-billion parameter model at human reading speed. Here's how it works: Every other LLM stores weights in 32-bit or 16-bit floats. BitNet uses 1.58 bits. Weights are ternary just -1, 0, or +1. That's it. No floats. No expensive matrix math. Pure integer operations your CPU was already built for. The result: - 100B model runs on a single CPU at 5-7 tokens/second - 2.37x to 6.17x faster than llama.cpp on x86 - 82% lower energy consumption on x86 CPUs - 1.37x to 5.07x speedup on ARM (your MacBook) - Memory drops by 16-32x vs full-precision models The wildest part: Accuracy barely moves. BitNet b1.58 2B4T their flagship model was trained on 4 trillion tokens and benchmarks competitively against full-precision models of the same size. The quantization isn't destroying quality. It's just removing the bloat. What this actually means: - Run AI completely offline. Your data never leaves your machine - Deploy LLMs on phones, IoT devices, edge hardware - No more cloud API bills for inference - AI in regions with no reliable internet The model supports ARM and x86. Works on your MacBook, your Linux box, your Windows machine. 27.4K GitHub stars. 2.2K forks. Built by Microsoft Research. 100% Open Source. MIT License.

Holy shit... Microsoft open sourced an inference framework that runs a 100B parameter LLM on a single CPU. It's called BitNet. And it does what was supposed to be impossible. No GPU. No cloud. No $10K hardware setup. Just your laptop running a 100-billion parameter model at human reading speed. Here's how it works: Every other LLM stores weights in 32-bit or 16-bit floats. BitNet uses 1.58 bits. Weights are ternary just -1, 0, or +1. That's it. No floats. No expensive matrix math. Pure integer operations your CPU was already built for. The result: - 100B model runs on a single CPU at 5-7 tokens/second - 2.37x to 6.17x faster than llama.cpp on x86 - 82% lower energy consumption on x86 CPUs - 1.37x to 5.07x speedup on ARM (your MacBook) - Memory drops by 16-32x vs full-precision models The wildest part: Accuracy barely moves. BitNet b1.58 2B4T their flagship model was trained on 4 trillion tokens and benchmarks competitively against full-precision models of the same size. The quantization isn't destroying quality. It's just removing the bloat. What this actually means: - Run AI completely offline. Your data never leaves your machine - Deploy LLMs on phones, IoT devices, edge hardware - No more cloud API bills for inference - AI in regions with no reliable internet The model supports ARM and x86. Works on your MacBook, your Linux box, your Windows machine. 27.4K GitHub stars. 2.2K forks. Built by Microsoft Research. 100% Open Source. MIT License.

Guri Singh

2,180,357 görüntüleme • 6 ay önce

Holy shit... someone built a free portable tool that activates Windows, kills the bloatware, and shuts down every telemetry service Microsoft buried in your OS. It's called GTweak. One .exe file. No install. No subscription. You download it, run it, and your Windows is finally yours. Every "Windows debloater" before this made you pick one trade-off. Activate but keep the spyware. Debloat but lose update control. Disable telemetry but break Defender toggles. GTweak does all of it inside a single portable executable. Here's what makes it different from every Windows tweaker that came before: → HWID + KMS activation built in, no sketchy batch scripts, no Massgrave links, no PowerShell one-liners pasted from a Reddit thread → Removes Cortana, Copilot, Recall, OneDrive, Edge, and every pre-installed UWP app on Windows 10 and 11 in one click → Disables keyloggers and telemetry across Windows and NVIDIA including the data collection tasks hiding in Task Scheduler that nobody talks about → Blocks Microsoft's shadow domains at the hosts file AND firewall level so the OS literally cannot phone home → Disables Defender, SmartScreen, Antimalware, VBS, and UAC with proper toggles instead of registry hacks that break on the next update → Pauses Windows Updates entirely and wipes the cached update files Microsoft refuses to let you delete → Kills Teredo, ISATAP, and IPv6 along with the diagnostic services running silently in the background → Activates the hidden Ultimate Performance power plan and fixes the Realtek audio delay bug nobody at Microsoft has patched in 5 years → Runs custom .ps1, .cmd, .bat, .reg scripts with TrustedInstaller privileges, the highest permission level Windows has → Built-in hardware monitor, NTFS compression, RAM cleaner, and secure Windows.old wipe Killed: $30 Windows 11 Pro keys, every "debloat script" repo with 47 forks and no maintenance, the $5/mo "PC optimizer" garbage running on YouTube ads. Works on every official Windows build since 10 (18362.116). One .NET Framework 4.8 dependency that's already on your machine. BSD 3-Clause License. 100% Opensource.

Holy shit... someone built a free portable tool that activates Windows, kills the bloatware, and shuts down every telemetry service Microsoft buried in your OS. It's called GTweak. One .exe file. No install. No subscription. You download it, run it, and your Windows is finally yours. Every "Windows debloater" before this made you pick one trade-off. Activate but keep the spyware. Debloat but lose update control. Disable telemetry but break Defender toggles. GTweak does all of it inside a single portable executable. Here's what makes it different from every Windows tweaker that came before: → HWID + KMS activation built in, no sketchy batch scripts, no Massgrave links, no PowerShell one-liners pasted from a Reddit thread → Removes Cortana, Copilot, Recall, OneDrive, Edge, and every pre-installed UWP app on Windows 10 and 11 in one click → Disables keyloggers and telemetry across Windows and NVIDIA including the data collection tasks hiding in Task Scheduler that nobody talks about → Blocks Microsoft's shadow domains at the hosts file AND firewall level so the OS literally cannot phone home → Disables Defender, SmartScreen, Antimalware, VBS, and UAC with proper toggles instead of registry hacks that break on the next update → Pauses Windows Updates entirely and wipes the cached update files Microsoft refuses to let you delete → Kills Teredo, ISATAP, and IPv6 along with the diagnostic services running silently in the background → Activates the hidden Ultimate Performance power plan and fixes the Realtek audio delay bug nobody at Microsoft has patched in 5 years → Runs custom .ps1, .cmd, .bat, .reg scripts with TrustedInstaller privileges, the highest permission level Windows has → Built-in hardware monitor, NTFS compression, RAM cleaner, and secure Windows.old wipe Killed: $30 Windows 11 Pro keys, every "debloat script" repo with 47 forks and no maintenance, the $5/mo "PC optimizer" garbage running on YouTube ads. Works on every official Windows build since 10 (18362.116). One .NET Framework 4.8 dependency that's already on your machine. BSD 3-Clause License. 100% Opensource.

Guri Singh

171,691 görüntüleme • 4 ay önce

📢 Our Screen Recorder for Mac OS is now available! Our new Screen Recorder let's you quickly capture your screen and camera, making it easier than ever to create walkthroughs of your design work, share knowledge, or deliver feedback. Some highlights: 👉 Post and share link automatically get created when you’re finished recording 👉 The title and description of your posts are automatically generated using ✨AI✨ 👉 The recording toolbar doesn’t show up in your recordings 👌 👉 Recordings automatically get transcribed subtitled 👉 We've introduced a brand new UI in our video player, go take a look 👀 👉 We've also added timestamped comments and reactions Give it a try and let us know what you think! Oh...Windows is coming soon! 🙈

Current

13,436 görüntüleme • 2 yıl önce

Jev + Opus 5.5 is the most underrated setup in AI right now, and i don't get why nobody's talking about it. I stopped letting Opus make every small decision in my agents. Jev makes them now. My Opus bill dropped ~500% on the same tasks, same results. Here's what Jev handles: - which files and notes to load before Opus sees anything - which effort level each task actually needs - what to do when a tool fails - which tests to run, and when to stop Opus only gets called for the hard reasoning. Every decision is a typed result the host checks before it runs. The exact prompt to set this up in your workflow is below.

Jev + Opus 5.5 is the most underrated setup in AI right now, and i don't get why nobody's talking about it. I stopped letting Opus make every small decision in my agents. Jev makes them now. My Opus bill dropped ~500% on the same tasks, same results. Here's what Jev handles: - which files and notes to load before Opus sees anything - which effort level each task actually needs - what to do when a tool fails - which tests to run, and when to stop Opus only gets called for the hard reasoning. Every decision is a typed result the host checks before it runs. The exact prompt to set this up in your workflow is below.

Anatoli Kopadze

74,966 görüntüleme • 5 gün önce

Today we shipped sling, an agent-first CLI for your GitHub Actions 💫 Right now, if you ask your agent why a CI job failed, it goes and pulls the entire set of GHA logs and eats up your context window. 🪵 > sling why StarSling (YC X25) computes the run's logs and metadata, along with the evidence lines it matched to tell you why a run failed If you want to know what your GHA usage is, you have to go to the GH UI and click around to find it. 💸 > sling bill tells you how many minutes, how much you're spending, and across which runner labels Trying to understand what your slowest job is? You'll need to hunt around the GHA UI and even then you only get an average. 📊 > sling top and sling usage tell you runner minutes and cost across all workflows and repos, with p50, p95, p99, queue wait and a week over week trend

Today we shipped sling, an agent-first CLI for your GitHub Actions 💫 Right now, if you ask your agent why a CI job failed, it goes and pulls the entire set of GHA logs and eats up your context window. 🪵 > sling why StarSling (YC X25) computes the run's logs and metadata, along with the evidence lines it matched to tell you why a run failed If you want to know what your GHA usage is, you have to go to the GH UI and click around to find it. 💸 > sling bill tells you how many minutes, how much you're spending, and across which runner labels Trying to understand what your slowest job is? You'll need to hunt around the GHA UI and even then you only get an average. 📊 > sling top and sling usage tell you runner minutes and cost across all workflows and repos, with p50, p95, p99, queue wait and a week over week trend

Yonas Beshawred

24,788 görüntüleme • 1 ay önce

I've been testing out Windows 11's new Haptic Signals feature on compatible hardware, and I think I love it. I'm someone who yearns for small UX details like this, and I'm so happy to see Microsoft leaning into subtle but quality UX implementations like haptics across the Windows Shell. These new Haptic Signals provide a subtle bump when interacting with certain UI elements and actions, such as snapping app windows or dragging files in File Explorer. The feedback response feels great and intentional, and makes using the OS feel more satisfying. There's still room for improvement, but I'd be lying if I said I wasn't impressed with this first implementation. It's only supported on a handful of devices for now, but that should change over time. I've always loved the haptic feedback layered throughout Google Pixel phones, and now Windows is getting its own version of it. More UX niceties like this, please!

I've been testing out Windows 11's new Haptic Signals feature on compatible hardware, and I think I love it. I'm someone who yearns for small UX details like this, and I'm so happy to see Microsoft leaning into subtle but quality UX implementations like haptics across the Windows Shell. These new Haptic Signals provide a subtle bump when interacting with certain UI elements and actions, such as snapping app windows or dragging files in File Explorer. The feedback response feels great and intentional, and makes using the OS feel more satisfying. There's still room for improvement, but I'd be lying if I said I wasn't impressed with this first implementation. It's only supported on a handful of devices for now, but that should change over time. I've always loved the haptic feedback layered throughout Google Pixel phones, and now Windows is getting its own version of it. More UX niceties like this, please!

Zac Bowden

42,890 görüntüleme • 4 ay önce

This is the PDP-11/83 I've been working on... it's got a lot of pretty das blinkenlights! It's running 211BSD UNIX that I custom compiled to make it all work. I had to tweak the kernel's idle loop to get the display panel to work, as this setup uses fast PMI (private memory interface) between the RAM and CPU, so the panel can't see it happen unless you cheat a little! The dual floppy unit is wild... a single stepper motor moves the heads on BOTH drives at the same time, so they're like conjoined drives. The bus spans three chassis, which are the three grey boxes. So unlike a PC, you can just "add most slots" and keep going to your heart's content!

This is the PDP-11/83 I've been working on... it's got a lot of pretty das blinkenlights! It's running 211BSD UNIX that I custom compiled to make it all work. I had to tweak the kernel's idle loop to get the display panel to work, as this setup uses fast PMI (private memory interface) between the RAM and CPU, so the panel can't see it happen unless you cheat a little! The dual floppy unit is wild... a single stepper motor moves the heads on BOTH drives at the same time, so they're like conjoined drives. The bus spans three chassis, which are the three grey boxes. So unlike a PC, you can just "add most slots" and keep going to your heart's content!

Dave W Plummer

43,343 görüntüleme • 1 yıl önce