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X Previews Long-Awaited “Shadowban” Alerts
Accounts sharing “sensitive content” will be labeled and restricted from searches and recommendations.
X, formerly Twitter, is moving a stage closer to adding a long-promised feature that notifies users when their account becomes “shadowbanned.” Andrea Conway, one of the developers at X, previewed the upcoming feature first promised by controversial CEO Elon Musk last year.
“We may cover your posts with a warning so people who don’t want to see sensitive content can avoid it. The reach of your account and its content may also be restricted, such as being excluded from the For You and Following timelines, recommended notifications, trends, and search results,” said Conway.
starting transparency somewhere pic.twitter.com/QUNKga1t4I
— Andrea Conway (@ehikian) September 26, 2023
Conway displayed two mock-ups of the update: a notifications tab alert plus an informational page explaining why X may limit the visibility of certain accounts. “We have found that your account potentially contains sensitive media — such as graphic, violent, nudity, sexual behavior, hateful symbols, or other sensitive content,” it explains.
Underneath the message sits an appeal button, which users can click to request X review its initial decision. Conway also explained that users would be able to view their account status outside of the notifications tab but didn’t mention how that might work.
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The feature tackles what has long been a controversial issue for Twitter (now X). For years, the company has limited the reach of accounts breaking its rules, sometimes without the account holders themselves being aware of the throttling.
The forthcoming update should add transparency to X’s decisions but is likely to also create further controversies and even conspiracy theories. Meanwhile, Conway said the company “should have more to share on this soon”.
News
NVIDIA Puts GPT-5.5 Codex In Hands Of 10,000 Staff
The chipmaker has significantly expanded OpenAI’s latest model across teams from engineering to HR under tight internal controls.
NVIDIA has started rolling out OpenAI’s GPT-5.5 model through the Codex coding agent to more than 10,000 employees, extending the tool well beyond software teams and into core business functions.
The deployment covers engineering, product, legal, marketing, finance, sales, HR, operations and developer programs. Staff are using Codex for coding, internal research and routine knowledge work as companies test whether AI agents can move from demos to daily use.
GPT-5.5 is running on NVIDIA’s GB200 NVL72 rack-scale systems, linking OpenAI’s newest model directly to the chipmaker’s latest infrastructure push. NVIDIA said the systems cut cost per million tokens by 35 times and raise token output per second per megawatt by 50 times versus earlier generations.
Inside the company, it says the effects are immediate. Debugging work that once took days is being finished in hours and experiments across large codebases that used to stretch over weeks are now handled overnight. Teams are also building features from natural-language prompts with fewer failed runs.
In a company-wide note urging staff to adopt the tool, CEO Jensen Huang wrote: “Let’s jump to lightspeed. Welcome to the age of AI.”
Security remains central to the rollout. Codex can connect through Secure Shell to approved cloud virtual machines, allowing agents to work with company data without moving it outside approved environments. NVIDIA said it assigned cloud VMs to employees so agents run in isolated sandboxes with full audit trails.
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The company added that the setup uses a zero-data-retention policy. Access to production systems is read-only through command-line tools and internal automation layers.
The move also highlights NVIDIA’s long relationship with OpenAI. NVIDIA said the partnership began in 2016, when Huang personally delivered the first DGX-1 AI supercomputer to OpenAI’s San Francisco office.
The two companies have since worked across hardware and model deployment. NVIDIA also said OpenAI plans to deploy more than 10 gigawatts of NVIDIA systems for future AI infrastructure.
For Gulf markets pouring money into sovereign AI and enterprise automation, the signal is clear: internal AI agents are moving from pilot phase to standard tooling.
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