Hey all. Been vibe coding for almost 2 years now (I think?). Previously was more focused on traditional micro-saas but recently decided to go in a different direction and see how far I could push lovable and try and make a commercial grade browser based game. Built it with Lovable + Supabase + Stripe -- full commercial browser game, gyroscope controls on mobile, no app store needed. Generated all my assets (I know, I know, there aren't a ton) with a combination of Gemini to prototype and the GPT 2 to finalize. I've made a few small games here and there that generally only get used by my kiddos, but with this one I wanted to try and create a full gaming experience (login rewards, leaderboard, store, powerup mechanics, simulated ads, etc.) Put a $100 bounty on it for the first player to reach level 100 on mobile. Nobody has claimed it since launch. So genuinely asking -- is it too hard, or is that the point? tiltra.io P.S. It is currently playable on both desktop and mobile but with the gyro mechanic it is definitely more fun and challenging on mobile. submitted by /u/BeltwayBro [link] [留言]

Scientists in Finland found bees could solve an insect version of the classic "box-and-banana" problem.

Bytedance released Bernini for video editing. The architecture splits the pipeline into a semantic planner that understands intent, then a renderer that executes. The planner draws a semantic sketch before any pixels are committed. This is the exact structure I want from coding agents. A planning stage that understands the codebase, the constraints, the dependencies. Then an execution stage that respects that plan. Right now most coding agents skip the planning layer or treat it as advice the agent can ignore mid flight. Bernini gets around the ignore problem by making the plan structural. The semantic sketch is a contract. The renderer's job is to match it. Coding agents need the same contract: a structured task graph where each step has inputs, outputs, and exit conditions. The hardware angle is interesting too. Gemma 4 at 2GB vram means the planner can run locally while the renderer stays in the cloud. Local intent understanding plus remote execution. Latency drops. Privacy improves. I have been using verdent partly for this reason: the plan comes before execution. Coding agents should pay attention to how video generation solved the same problem. submitted by /u/SherbertDazzling3661 [link] [留言]

Hi guys. I have been working on Hitoku Draft, an open-source, voice-first AI assistant that runs entirely locally. I posted about it already, and now it has also transcription with voice editing. Looking for feedback, as I found that outside tech circles other people still do not use this tech much. It's context-aware, in the sense that it reads your screen, documents, and active app to understand what you're working on. You can ask about PDFs, reply to emails, create calendar events, use web se

Opus 4.6 or sonnet 4.6 for rping Currently running on pro right now Im unsure what to choose between the two in terms of rping cause i prefer creative writing, stay in character, deep emotional prose, good character development, good memory, good character emotionals and stuff like that So far im using opus 4.6 but it drains the limits relatively quick For the sonnet i can use for hours and still be fine So like im wondering which is better for rping? I havent tested both deeply Also if they're an even better option, pls tell me. submitted by /u/Turbulent_Arrival_55 [link] [留言]

Gartner updated their 2026 forecast to $2.5 trillion in global AI spending. Same week, MIT's NANDA Initiative dropped a follow-up: 95% of enterprise gen AI projects deliver zero measurable return. Not low return. Zero. I've been on the delivery side of 14 of these projects since January. The MIT number doesn't surprise me. If anything it's generous. 1. 73% of the engineering work that gets AI into production has nothing to do with the model. Data pipelines, integration layers, legacy system remediation, human-in-the-loop tooling. That's where the hours go. The model is 27% of the work but gets 70%+ of the budget. Every time. 2. The budget ratio between projects that ship and projects that stall is almost exactly inverted. We tracked this through ticket history and commit logs across 14 engagements. Projects that made it to production: roughly 30% model, 70% infrastructure. Projects that stalled: 70% model, 30% infrastructure. Most companies think they're at 50/50. They're not even close. 3. One client went from 71% Copilot adoption to 34% in six months. Two other AI platform licenses dropped under 12%. Combined licensing: $340K/year. The tools worked fine. Nobody redesigned workflows to actually use them. 4. The median data error rate across our engagements is 14%. Teams always guess 5-10%. One client found 23% in month four of a $310K build. That's two months of an ML engineer building training pipelines against garbage data. $36K in salary discovering a problem a data audit would have caught in a week. 5. Medtech company. Four concurrent AI pilots. No kill criteria. $920K in engineer salary. Eleven months. Shipped: nothing. I've now seen this at six companies now. Nobody defines when to stop spending. So nobody stops. 6. Individual gains are real. Company-level ROI stays flat. HCLTech and Writer both found this from different angles. Only 29% of companies see significant ROI from gen AI, despite people at their desks reporting productivity jumps as high as 5x. I m

Meta's Creator Assistant AI can analyze your past posts to help with future content plans.

Type messy and have it instantly polished Discussion | Link

I have been researching how startups and developers manage AI spending across OpenAI, Claude, Gemini and other models. Many people seem to rely on spreadsheets, rough estimates or provider dashboards. I'm curious: How are you tracking AI costs today? What is the biggest frustration in your workflow? Trying to understand the problem space better before building additional features. submitted by /u/OneDisastrous7969 [link] [留言]

Code reviewed by WIRED uncovered an unreleased face-recognition system embedded in Meta’s smart glasses platform. It’s designed to identify people via biometric data stored on users’ phones.

Jo is a secure programming language that intends to addressing the fine-grained sandboxing problem at compile-time. To make secure programming practical it ends up with a two-world architecture : - confined world : not trusted, no FFI transitively, disciplined, standard library is not trusted - trusted world : trusted, FFI, type cast, language runtime is trusted The two-world architecture makes it possible to establish a security wall inside the language : that makes it easy to confine an untrusted program to arbitrarily fine-grained permission, e.g., only access certain rows or columns of a database table. The language-level confinement remove the need for runtime sandboxing because compile-time confinement is more fine-grained. It also makes security auditing easier. For resource quota, it still needs to be combined with ulimit/cgroups. We believe the two-world design addresses both the need for security and usability in secure programming. Comments are welcome on the design or alternatives to address the same problem. Link: https://jo-lang.org/security/two-worlds.html submitted by /u/liufengyun [link] [留言]

Self improving vibe coding env with no API fees Discussion | Link

I’m trying to set up SSL for a newly added domain on a shared cPanel hosting account. The domain is already added inside cPanel and shows under the SSL/TLS section, but the certificate status says the installed certificate does not cover the new domain. The existing certificate appears to be old/expired and was not issued by AutoSSL. When I go to the SSL/TLS Wizard, it says: “There are no SSL/TLS products available at this time. SSL/TLS providers can be enabled by the server administrator.” I’m not seeing a clear “Run AutoSSL” button anywhere in cPanel. Is this something I can fix myself from cPanel, or does the hosting provider need to enable AutoSSL / SSL providers on the server side? I’m mainly trying to get SSL working for the main domain and www version of the domain. submitted by /u/PersonalityLife6196 [link] [留言]

Copilot for college applications Discussion | Link