[email protected]

Thousands of votes are in – and @OpenAI’s latest, GPT 5.4, is topping our Yupp user-preference leaderboard for Vision models! 📊👀 Let’s try it out on some vision prompts.

📢 New Model Drop: GPT 5.4 is now live on Yupp! @OpenAI's latest flagship model boasts a 1M token context window. We've got standard and High versions. Excited to see what our community does with the latest GPT – and to find out how it rates on our user-preference leaderboards.

Nano Banana 2 dropped yesterday. It's already #1 on our image leaderboard, with the lowest downvote rate on the board at 2.7%. It does generation and editing. Let's look at both.

📢 New Model Drop: GPT 5.3 Codex @OpenAI's most capable coding models yet, combining frontier coding with stronger reasoning and 25% faster performance. Come try these new models out, completely free on Yupp! Then let us know what you'll be using them for below 👇

In case you missed it – Yupp Chief Scientist @lintool presented findings on our Help Me Choose feature! Have you tried Help Me Choose? Let us know how you’ve used it to sharpen your evaluations.

📢 New Model Drop: Claude Opus 4.6 is now live on Yupp! This is the latest upgrade to @AnthropicAI's most powerful model, and we are excited to see what our community makes of it - and how it performs on our leaderboards.

📢 New Model Drop: Grok Imagine Image is live on Yupp! It combines powerful image gen with speed and cost savings. Congrats on the API drop, @xai! We can't wait to see our community's creations - and to discover how Grok Imagine Image performs on our user-preference leaderboards.

Checkout all 4 GPT-5 models for free - no subscription required on yupp.ai 🔥🔥

@sama For everyone who is eager to try GPT-5, we have all four versions available right now for free at @yupp_ai! x.com/yupp_ai/status…

📢 New Model Drop: After weeks of fanfare, GPT-5 by @OpenAI is here, and is available right now for free on Yupp! OpenAI’s smartest, fastest, and most useful model yet, with thinking built in.

📢 New Model(s) Drop: gpt-oss-120b and gpt-oss-20b by @OpenAI are now available on Yupp! Two state-of-the-art open-weight language models that deliver strong real-world performance at low cost; designed for powerful reasoning, agentic tasks, and versatile developer use cases.

It’s been 36 hours since Grok 4 launched and we have an early verdict based on 6K+ preferences of @yupp_ai users globally on real use cases. ‼️ Grok 4 is worse than other leading models: OpenAI o3, Claude Opus 4, and Gemini 2.5 Pro. Grok 4 is liked even less than Grok 3. 🧵

Introducing Yupp: a fun and easy way to discover, compare, and use the latest AIs – while helping to shape the future of the field. Sign up at yupp.ai.

Good thing we were able to get Grok 4 onto Yupp only ten minutes after this powerful new model dropped! Here’s how Grok 4 stacks up against some of the best models: 🧵

1/24 I’m thrilled to share what my co-founder @gilad and I’ve been cooking up over the past year. Check out @yupp_ai – a fun and easy way for anyone to discover, compare and get the best answers across the latest AIs, all for free! Yes, even the most powerful pro models.

I’m excited to announce we’ve led a $33 million seed round in @yupp_ai, a consumer product that allows anyone to discover and compare the latest AI models for free. AI needs robust and trustworthy human data. Crypto is built to provide it. Modern AI systems are shaped not only by compute and algorithms but by human feedback. Companies use post-training techniques such as Reinforcement Learning from Human Feedback (RLHF) and Direct Preference Optimisation (DPO) to improve their models. These techniques can reduce bias and enable higher quality, more coherent responses to prompts — crucial for accelerating progress in AI. Model evaluation is similarly critical, but a model can only be made better after first deciding what “better” means. That’s where challenges arise: Companies don't like to share — they keep their data and training processes secret. As a result, model improvements are constrained by what can be learned from closed systems or static benchmarks that are rarely informed by real-world use. These constraints make AI models difficult to evaluate. Users are also left in the dark, with little insight into how their feedback shapes models or whether it’s used at all. Some leaderboards and crowdsourcing sites attempt to shed light here, but they generally don’t enable users to audit their contributions or see any direct benefit from participating. Platforms that claim to be fair and transparent often rely more on good faith than enforceable standards. We believe crypto can bring transparency and ownership to this murky area of AI. Blockchains can make it easier for people to receive rewards for their contributions. They can also provide AI builders with assurances about the quality and provenance of the feedback data and evaluations they’re incorporating into their models. So users get incentives, builders get trustworthy data, and everyone can audit either side of the open market. Yupp crowdsources model evaluation: users enter prompts, see multiple AI-generated responses side-by-side, and then pick the best ones. Their choices create digitally signed “packets” of preference data that are useful for AI post-training and evaluation. In addition to users getting access to the latest models for free, they receive rewards based on the feedback that they provide. Yupp’s design turns human judgment into a renewable economic resource. Data “expires” as newer interactions replace it, creating a natural flywheel: more usage yields fresher evaluations; fresher evaluations yield better models; better models attract more usage. All participants — from users to AI model builders — can participate and see that the same transparent rules apply to everyone, ensuring a credibly neutral marketplace. No one can hide the scoreboard, and no one can manipulate the rewards or results. The founders bring deep experience in both AI and crypto. They built consumer-scale machine learning products together in the early days of Twitter. @pankaj ran global consumer engineering for Google Pay and @Coinbase. @gilad was a machine learning lead at GoogleX. The early team already counts senior engineers from Google, Coinbase, and top research labs. AI needs strong, reliable evaluation based on large-scale human input. Crypto is the trust machine that can help deliver it. By enabling people worldwide to contribute model-improving feedback, Yupp aims to become the default evaluation layer for the future of AI. We’re proud to back Yupp and look forward to helping them build the onchain feedback loop that ensures the rewards of AI innovation are shared by everyone who helps create it.

@Seansmall04 @PlayStation I'm on the same boat. I've cancelled my subscription in November, however I still got charged. I called my credit card company to dispute the transaction, now they suspended my account. And as you said, not a single communication channel can reach them.

Anyone know why PlayStation's support service isn't working. I've been trying to get a refund for my PSN subscription bc I didn't want to renew it this year and everytime I try to use their AI Support service I can't get past the AI part. 1/2 @PlayStation

@wangtian @stuart983 逼着我又回了twitter，mastodon还是替代不了新闻属性啊

@stuart983 这两天我的朋友圈比铁链时期热闹啊，反动多了

我看不出民怨沸腾啊。我看社交网络上的牢骚比年初锁链女时候都差远了。

@yuemin1969 This is its new trick to get DAU, by disgust you, so you come back to its platform again. I'm beyond angry with what it did today, but us coming back to this platform is what it wanted.

Anyone can submit information about potential violations of FTC orders or other business misconduct. You can call 1-877-FTC-HELP (382-4357) or submit a complaint at reportfraud.ftc.gov/#/. We welcome reports from customers, former employees, and informants.