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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.

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.

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

Copilot for college applications Discussion | Link

A new documentary chronicles how the app became a stand-in for American anxieties about social media, China, and political power.

Amazon's gaming strategy has never really been clear. It's been very active in the space: acquiring Twitch, launching its Luna cloud gaming service nearly six years ago, investing heavily in MMOs during the peak of live-service wave, and having access to a huge slate of franchises through Prime Video and the MGM Studios library. Late […]

Control your treadmill from your iPhone, wirelessly Discussion | Link

Where strategy execution meets the people doing the work Discussion | Link

Meta's board cites "due process" concerns over account bans. It's also pushing Meta to offer clear information about violations and its use in AI in making its determinations.

so gemma 4 dropped and my feed is three versions of the same post. "ran it last night, the local game just changed". "the cloud narrative is dying". and i caught myself getting excited and downloading it at 1am like i did for the last one. and the one before that. heres the thing thats been bugging me. i went back and looked at my own saved posts from like 8 months ago. same exact words. "this finally replaces X". "cant believe this runs on my laptop". "were so back". different model name, copy paste emotion. and almost none of those models are in my actual rotation now. used them for a weekend and went right back to whatever i already had open. i think the release is the dopamine, not the model. the download IS the fun part. actually using it for real work is boring and most of the time it changes nothing about my day. i still do the same tasks the same way. the model got better on paper and my life is identical. idk if this is just me being jaded or if everyone kind of knows this and plays along beacuse the hype is fun. im not even mad at it honestly. its just wierd to notice youve been stuck in a loop. the "everything changed" never actually changes the tuesday after. anyway gemma 4 is probably great. i downloaded it. i will use it twice. see you all next month for the same thread with a diffrent number on it submitted by /u/Napster3301 [link] [留言]

Creators often have to parse through charts and dashboards to understand their performance, but with the new AI assistant, they can get quick answers to questions like "When should I post?" and "What are people saying in my comments?"

Apple's WWDC nears: Here's what you can look forward to.

Simple file sharing on your iPad or iPhone Discussion | Link

“I think the team has really experienced the loss of a loved one with the end of the mission.”

The incident helps shed some new light on how Waymo treats and stores the footage captured by its robotaxis.

Pretty wild case report: AI + microfluidics helped find just two viable sperm cells, and that was enough to start a pregnancy. Obviously it’s early and based on one case, but this feels like one of those “future of medicine” moments. submitted by /u/tc0843 [link] [留言]

The convenience of contactless payments can already feel magical, but Cash App is really leaning into that with its latest accessory. The mobile payment service is launching the Cash App Wand: an NFC-enabled, iridescent, star-topped wand that allows users to make on-the-go payments without pulling out their phone or card. This plays on a popular […]