News

Reddit Plans To Convert Its Karma Points To ERC-20 Tokens

When tokenized, Karma points would become independent of Reddit, existing on community-controlled blockchains.

Published

4 years ago

November 12, 2021

reddit plans to convert its karma points to erc-20 tokens

A series of now-deleted Tweets by Reddit engineer Rahul Kothari has recently revealed that the social media site is planning to start converting user’s Karma points into ERC-20 tokens.

“When we all pull this off, we would onboard 500M web2 users into web3 and then there is no going back. Let me say that again — 500 million new crypto users” wrote Rahul in his Tweet.

Currently, Karma points are supposed to reflect how much individual users contribute to the community, and they are earned for posting, commenting, and receiving or giving awards.

When tokenized, Karma points would become independent of Reddit, existing on community-controlled blockchains. Reddit calls such points Community Points, and two subreddits already use them: r/CryptoCurrency and r/FortNiteBR.

While r/CryptoCurrency calls its Community Points Moons, r/FortNiteBR uses the name Bricks. In both cases, Community Points reward posters, commenters, and moderators for their contributions, and they are distributed on a monthly basis.

One cool feature enabled by Community Points is weighted voting, where members get one vote for every Point they have, making it possible for the biggest contributors to influence voting the most.

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Community Points can also be traded just like any other token with a sizable user base. At the time of writing, one Moon is worth roughly $0.20 and one Brick nearly $0.10. By attaching a monetary value to Reddit contributions, Community Points change the game quite dramatically, and many Reddit users, including those involved in crypto, are not thrilled by this.

“Once they started passing out moons the sub’s quality content dropped, the bots showed up, and now they have votes seemingly every month to tweak how the moons are handed out and what is banned from the sub. It’s ridiculous,” commented u/goofytigre in the r/Ethereum subreddit.

Considering that Reddit is already criticized for being an echo chamber, it will be interesting to see the effect of the tokenization of its Karma points on the community.

News

Nano Banana 2 Arrives In MENA For Google Gemini Users

Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.

Published

2 months ago

February 27, 2026

Nour Nasir

Google

Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.

The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.

Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.

The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.

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Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.

By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.

The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.