Bot vs. B.S.: How X is using AI to clean up the feed
This article explores how the system works, what it means for online discourse, and where it might go next.
Community Notes is X's open fact-checking framework that lets users collaboratively add context to misleading posts. Notes only go live if they're rated 'helpful' by users across the political and ideological spectrum. This ensures balance and reduces the chance of bias or agenda-driven moderation.
The system's scoring algorithm is open-source, making its decisions transparent. It's this public, consensus-based model that has earned credibility and inspired copycats on other platforms. How the AI Notewriter works
The new AI Note Writer API gives developers access to tools for building bots that can draft Community Notes on flagged posts. These AI-generated notes are always labelled as such and must follow the same review process as human-written ones.
AI notewriters begin in 'test mode,' where their notes are visible only to a small pool of reviewers. Only after consistent performance can these bots graduate to proposing live notes. Even then, the rule holds: no note, human or AI, gets published unless it's rated helpful by a diverse group of contributors.
The real benefit is speed. While human contributors remain central to judgment and quality control, AI can help surface relevant facts faster during breaking news or viral misinformation surges. Impact and safeguards: Openness, fairness, and quality
AI notewriters aim to scale up fact-checking without diluting its integrity. X has laid out four principles for the system:
Openness: Public API access and transparency in algorithms
Fairness: Same standards for AI and human notes
Quality: AI must earn publishing rights through testing
Transparency: All AI-generated notes are clearly labelled
Importantly, AI bots don't get to rate notes, only human contributors can do that. Their notes still go through the same scoring pipeline, and user feedback plays a role in improving future accuracy. Challenges and the road ahead
There are still risks: AI-generated notes could inherit bias, be manipulated through adversarial tactics, or miss subtle cultural context. That's why the rollout is being done gradually, with X closely tracking performance and feedback.
The bigger picture? Other platforms are also experimenting with AI-assisted fact-checking. If X can get the balance right by blending AI scale with human judgment. It could reshape how social media fights misinformation.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
&w=3840&q=100)
Business Standard
24 minutes ago
- Business Standard
Oracle, OpenAI expand Stargate deal to build more US data centres
OpenAI has agreed to rent a massive amount of computing power from Oracle Corp. data centers as part of its Stargate initiative, underscoring the intense requirements for cutting-edge artificial intelligence products. The AI company will rent additional capacity from Oracle totaling about 4.5 gigawatts of data center power in the US, according to people familiar with the work who asked not to be named discussing private information. That is an unprecedented sum of energy that could power millions of American homes. A gigawatt is akin to the capacity from one nuclear reactor and can provide electricity to roughly 750,000 houses. Stargate — OpenAI's project to buy computing power from Oracle for AI products — was first announced in January at the White House. So far, Oracle has developed a massive data center in Abilene, Texas, for OpenAI alongside development partner Crusoe. To meet the additional demand from OpenAI, Oracle will develop multiple data centers across the US with partners, the people said. Sites in states including Texas, Michigan, Wisconsin and Wyoming are under consideration, in addition to expanding the Abilene site from a current power capacity of 1.2 gigawatts to about 2 gigawatts, they said. OpenAI is also considering sites in New Mexico, Georgia, Ohio and Pennsylvania, one of the people said. These new projects will be part of Stargate, and details of the plans may still change, according to a person familiar with the plans. OpenAI and Crusoe declined to comment on the plans. Oracle didn't return a request for comment. Oracle shares gained as much as 3.9 per cent to $227.46, a record high, following the news. The stock has jumped 36 per cent this year, fueled by investor enthusiasm in its cloud business. Earlier this week, Oracle announced that it had signed a single cloud deal worth $30 billion in annual revenue beginning in fiscal 2028 without naming the customer. This Stargate agreement makes up at least part of that disclosed contract, according to one of the people. Oracle, known for its database software, has gained traction in the market for renting out computing power and storage over the internet, in part by targeting clients focused on AI work. This has led to a jump in revenue and expenses. The $30 billion deal is more than the current size of its entire cloud infrastructure business. Credit ratings firm S&P wrote Wednesday that Oracle's cloud infrastructure building spree was straining cash flow and that the current spending pace is higher than anticipated. Still, it viewed Oracle's cloud strategy favorably over the long term. OpenAI said in May it was helping develop a Stargate project in the United Arab Emirates with Oracle, Crusoe, AI chipmaker Nvidia Corp, Cisco Systems Inc. and G42, an AI company backed by the country's sovereign wealth fund.
Time of India
24 minutes ago
- Time of India
Are workers getting AI-ready as fast as their workplaces? The skill gap that could cost billions
As artificial intelligence becomes the hottest investment across global industries, a crucial question remains unanswered: are employees ready for it? According to the Forbes Research 2025 CxO Growth Survey, the AI boom is not a futuristic prediction — it's already here. Ninety-three percent of global C-suite leaders reported they plan to increase AI investments over the next two years, with over half committing to budget jumps of 16% or more. From customer support to financial forecasting, AI is quickly weaving itself into every facet of business operations. But while the technology is advancing at breakneck speed, people may not be. Tech Arrives Before the Team It's a familiar story in innovation cycles: shiny tools are deployed, but the people expected to use them are left playing catch-up. This time, the stakes are higher. The survey reveals that only 49% of Chief Human Resources Officers are prioritizing AI and data analysis training. Even among companies investing heavily in AI, only 57% are doing so. In the tech sector — arguably the most AI-savvy — the number drops to a worrying 38%. These figures expose a growing disconnect: while companies are racing to automate and innovate, their workforce isn't being equipped to keep up. That gap doesn't just slow down adoption — it threatens to derail it. The Hidden Cost of Not Training This skills shortfall can result in a cascade of problems. Underutilized tools, inefficient workflows, low employee confidence, and failed implementations could all become common side effects. And the blame often falls on the technology, not the lack of training. For many organizations, the rush to 'do something with AI' overshadows the quieter, less glamorous task of teaching teams how to use it meaningfully. This gap in workforce readiness could ultimately cost more than the AI investments themselves. You Might Also Like: Forget BTech. Zerodha's Nikhil Kamath says only one skill will matter to stay relevant in job market in 10 years From Awareness to Action The survey also shows that AI upskilling is technically on HR's radar — it's the second-highest talent development focus, just behind expanding data-driven employee insights. But 'focus' doesn't always translate into comprehensive training programs or cultural adaptation. As AI systems increasingly define how decisions are made, workflows are optimized, and customer service is delivered, ensuring that humans are fluent in how these tools work — and where their limitations lie — becomes critical. Without a parallel investment in people, companies may find their AI revolution stumbling not because the tech failed, but because they forgot to bring their workforce along for the ride. You Might Also Like: AI might take your job, but ignoring it could too: Microsoft links performance reviews to AI usage
Time of India
an hour ago
- Time of India
'Dude clears interviews': Indian-origin entrepreneur says truth of Soham Parekh is simple
As Soham Parekh emerged as the 'Me Too' moment for US tech world, a US-based Indian-origin entrepreneur, Pritika Mehta, broke down the mystery and decided that the truth of Soham Parekh was pretty simple. Tired of too many ads? go ad free now Paresk cleared interviews as he was good with that, then he had junior people working for him like a small dev shop. The curious case of Soham Parekh broke the Internet after a US-based AI founder, Suhail Doshi, outed him on X claiming that Parekh has been moonlighting for years, which means he has been working for several software companies at the same time, and he is not even in the US. His resume went viral though his credentials are now disputed as he has been accused of fraud. 'Dog-eat-dog world out there' Another Indian-origin CEO Mihir Deo said Soham Parekh;s story did not surprise him at all. "That's just how it goes with a lot of the Indian engineering market, straight up. Some people are shocked by this, but if there's anyone who knows the Indian engineering market, the Soham Parekh stuff is like: "yeah, of course they do that"," he wrote. "I explored starting a business in India in the past. But the lack of trust that I had in people dissuaded me. People overpromise (and aren't afraid of overpromising) and often stab you in the back to get their lunch. It's a dog eat dog world out there. I decided against starting a company in India because I determined I wasn't thick skinned enough (e.g. also too rigorously honest as well) to play that game," Mihir Deo wrote. While US tech workers have been complaining about Indians eating up their jobs, the news of one Indian taking so many jobs in the US raised questions over the hiring and the management of these startups. Tech influencer Deedy Das suggested Parekh is 'just the tip of the iceberg,' pointing to a broader trend of 'overemployment' in remote work, with a Reddit community discussing similar cases.
