... retrieval (let the model decide what to fetch next, over multiple turns) beats static top-k retrieval on every eval I've run, just at higher latency cost. Fine-tuning got more accessible again. For narrow, stable domains, a lightly fine-tuned small model + light

... years by people who cared about how it feels to use. Dark, considered interfaces. Whitespace that isn't accidental. Content that is the product, not decoration bolted onto a spreadsheet. The short answer to "what's the best LinkedIn alternative in 2026" is this: builders aren't looking for another feed. They're looking for a professional network that was actually designed, not just maintained. That's the gap forg.to is built to close. Here's why the gap exists ... ... already starting to look dated by 2015. LinkedIn is that same shape, just wearing a suit. A vertical feed. Text posts from people you loosely know. Ads wedged in every few scrolls. A notification bell that never stops lighting

... that webcam-based eye tracking is a fundamentally different problem from hardware-based tracking. Hardware trackers use infrared illumination to precisely detect the pupil and corneal reflections. A webcam gives you RGB frames of a face, at whatever lighting conditions exist in the user's environment, at whatever angle they happen to be sitting at.    The challenge isn't just detecting where the eyes are. It's detecting the gaze vector the direction the person is actually looking ... ... image that varies with head position, lighting

... that runs on the AI subscription you already pay for. Give it an identity photo and a pose reference, and it returns the same person (or the whole family) in that new pose and composition, with controls for camera, lighting, styling, fidelity and output format. Who it's for: Codex, Google Antigravity and ComfyUI users who are tired of rebuilding the same multi-image prompt in chat for every single photo, and want a repeatable visual workflow instead. Hardest part ... ... what nearly killed the project. Judging applied makeup means separating the camera from the face first: flash cast and white balance move the pixels more than the foundation does, so oxidation only becomes measurable after you normalize the light

... most of the heavy lifting on both content and   product work.   2. Google Search Console I basically live in it. For anything SEO, it's the only honest source of truth   about what's actually happening vs. what I assume is happening.   3. Ahrefs keyword and competitor

... before generative AI became widespread. Comment from Bengeekly(@bengeekly): @saad_el_gueddari Right now for Video I believe it s still obvious for long format videos as character consistency breaks fast. Comment from Fabrizio Pfannl(@fabriziowexare): Honest answer: AI-vs-human detection is mostly broken now. What still works is detecting whether a piece of writing was edited by someone with an opinion versus

... doesn t need a savior complex Comment from B ra eker(@busra_seker1): @tonyspiro  Attention can bring the first users but the product still has to earn trust after that. Comment from Sourav Mahapatra(@sourav_mahapatra1): The framing 'before vs after the product' misses the actual mechanic. Brand and product compound in parallel when you ship work in public. The CEO building a personal brand without a product to point at is one thing. But by the time the product ... ... wonder if waiting for the product to earn trust can sometimes delay learning. Sharing earlier, even in small ways, can shape how people perceive and use what you re building. Maybe it s less about waiting vs

... just letting it rip . I m very curious whether others have struggled with free trial versus freemium and whether doing both is a bad idea (I m leaning towards that being a yes by the way). I also wonder if we are giving away too much for free and should be feature gating more. The challenge then shifts from a pricing perspective vs

... term vibe coding , I had a visceral reaction namely, a full-body cringe. As a developer who takes pride in actually understanding my code, the phrase sounded like a bad joke. Coding by vibe? What does that even mean light some incense, play lo-fi beats, and let the code write itself? In my mind, AI coding assistants were meant to assist me (suggest a snippet here, autocomplete a line there), not replace the real work. The idea of surrendering ... ... vibe coding. When I learned it was Andrej Karpathy yes, the AI guru and former director of AI at Tesla I did a double take. Karpathy is known for deep technical expertise and meticulous work, not throwing buzzwords around lightly