I tried to use it while biking but it's extremely confusing for bike trails (colors and parallel routes display, not highlighting real bike trails). I vastly prefer mapy.com in just showing a simple red dashed line for any official bike trail. The elevation is also displayed in 50m increments which is too little for bikes.
From my experience, workout draws exactly from the same pool as mental effort, so after a tough day at work/school, there is little left for a workout and vice versa. Instead of brain spending its energy on thinking, it spends it on muscle/movement coordination.
Why are they using neural nets to model observed behavior (different parts activated) and then applying them to biological neurons that work completely differently? Real neurons communicate using precisely timed spikes and each neuron does a bunch of local computation as well.
No, the real reason for the code review is to protect the moat of senior engineers/leaders that would nitpick on minute details of code while ignoring the big picture to make sure they can gatekeep any promotions and their competition.
Do you think the current AI automated menial work and left only the fun parts? It seems like the opposite, it took any fun from coding and left the drudgery of debugging code one didn't write intact.
Try to run your prompts through Claude to pinpoint any ambiguous parts that can be interpreted in multiple ways, or self-contradictory sections. I typically resolve any prompt-ignoring issues with that.
Tabata is the craziest workout ever, with Tabata sprints I couldn't feel my legs 3 minutes in and after 4 minutes all I could do was to vomit while shaking on the ground. 7-minute workout with as many reps as possible (even if not in perfect form) helped more overall.
This sounds like adding way too much complexity for something that will likely be covered fully by the next gen of frontier models within a single prompt. It also makes it all opaque and difficult to trace.
I noticed the same with me after a few years working; my solution was to take all hard mathy online MS degrees/grad certs available one after the another. Now I can understand how does the generative AI math work while designing an electric motor for my own robot. Though the latest AI can do it all better than me.
There seems to be a coordinated push around Schmidhuber all around media in the EU, even LinkedIn is full of "random" posts about him in the past week.
Weren't 90s of deep breathing supposed to remove all cortisol in the blood? This seems like an opposite result. Also a single prolonged breath was supposed to reset autonomic nervous system. Which research should I trust now?
Self-destruct drones with mesh node transmitters? Radiowave reflectors placed at strategic spots blended with the surroundings? IR multicast transmitters?
I couldn't even get new Outlook to sync with some email accounts. And my Office 2019 licenses will stop working next month due to a cert expiry Trojan horse baked in by Microsoft. Why does MS think I will ever want to pay them for anything ever again?
Computer Science is the science of solving (hard) problems in general. If you automate CS, you trivially automate most of other professions. The only ones that won't budge are the regulated ones like lawyers, MDs and similar that have ways to prevent AI from wrecking their fields. Product/Project PMs are easy pickings. We'll also see wreckage coming to highly paid actors in the near future.
Dunno, Cursor's agents are now more-less equal to Claude Code, just the workflow is slightly different. I like the IDE integration for some projects, allowing me to quickly inspect/review/change/search code, while running Claude Code/Codex/OpenCode/Pi/Hermes on different projects often with local models and it's mostly a question about your personal development style instead of inherent tool capabilities.
They are working hard on you not being able to run a thing locally. OpenAI buys all RAM on the spot market, causing the rise of RAM/VRAM prices 6x, making GPUs and decent computers unreachable for the majority of the population. OK, some richer folks might be able to get a 512GB MacStudio or a single RTX Pro 6000 for 13k and be able to run some decent local models, but the vast majority will need to use API. And at some point Nvidia might say: "We don't sell that many 6000s, so let's just cancel them altogether as we can gain 4x profit on datacenter-only GPUs" and then they'll become unobtainium and no private person would ever be able to run anything decent (~1 year behind the frontier) locally.
You can already get Opus 4.6 level of performance on subtasks with some local models. So you need to pick a proper code writer, plan writer, code tester etc. model that matches your target expectations and use a coding tool that allows calling different LLMs for different subtasks. For example, people use StepFun 3.x or DeepSeek4-Flash for planning, Qwen3.6-27B for coding.