News

Instagram Attempts To Dispel Shadowbanning Conspiracies

The Meta-owned company wants creators to better understand how the platform’s algorithms work.

Published

3 years ago

June 2, 2023

instagram attempts to dispel shadowbanning conspiracies

A new blog post by Adam Mosseri — Instagram’s top exec — has offered some of the most detailed explanations about how the platform’s algorithm ranks various recommended content in a bid to dispel conspiracy theories concerning shadowbanning.

“Instagram doesn’t have a singular algorithm that oversees what people do and don’t see on the app,” explained Mosseri in his post. Instead, the executive explained that there are several algorithms and ranking systems working behind the scenes of the Explore, Reels, Stories, and Search sections of the app, with each using different signals for cues as to whether a creator or piece of content should be offered for a viewer’s perusal.

Regarding the order of posts in a user’s main feed, the algorithm uses past viewing activity to determine what to show next, as well as “closeness” and “how likely you are to be connected as friends or family”. On the other hand, Explore recommendations are primarily driven by “posts you’ve liked, saved, shared, and commented on in the past” but are more likely to come from creators or accounts the user has never interacted with.

One of the most interesting parts of Mosseri’s blog post is about “addressing shadowbanning”. Mosseri admits there isn’t a universal definition for the term but acknowledges that some creators “use the term to imply that a user’s account or content is limited or hidden without a clear explanation or justification”. Mosseri says that Instagram is working hard to increase transparency around when content or accounts are hidden from the platform’s recommendations.

Also Read: Adobe Firefly AI Image Generator Comes To Photoshop

Mosseri notes that the “account status” feature will alert users if their content or entire account is considered “ineligible” for recommendations and that an appeals process is also available. While this isn’t the first time Instagram has addressed shadowbanning, there has been a noticeable shift in how the company talks about the topic.

The new details from Adam Mosseri’s blog underscore just how vital algorithm recommendations are to Instagram’s operation. Meta chief Mark Zuckerberg has even said that his goal is to transform both Instagram and Facebook into “discovery engines” focused on recommendations rather than posts from friends.

News

ESET Bets On Specialized Security AI At 0.5% The Training Cost

ESET says NeoCortex can estimate an attacker’s next move, with a kill switch and human oversight built in to keep it from going rogue.

Published

5 days ago

November 4, 2026

Dana Saadeh

eset bets on specialized security ai at 0.5% the training cost

A sign-in anomaly, a suspicious process launch and an unusual connection may look harmless alone. Together, they can describe an intrusion that is hard for security to teams to piece together.

To solve that problem, ESET announced ESET NeoCortex on November 4, 2026: a specialized foundational AI model for cybersecurity. It powers ESET LiveCortex, available within the ESET PROTECT Platform, which connects fragmented security signals and turns them into actionable incidents.

Filtering is the main selling point, with LiveCortex processing billions of raw telemetry events daily, and just 0.00111% of them contributing to incidents presented to customers. The aim is less alert fatigue and more analyst time spent on threats that matter.

NeoCortex is built on world-model architecture, learning how digital environments behave and how events relate. ESET says that lets it reconstruct missing incident context, recognize similar past cases and estimate an attacker’s likely next step – what the company calls “minus-one-day defense,” a chance to intervene before the next stage unfolds. ESET points to Black October, the week leading up to October 25, 2026, when critical security issues affecting PHP, Linux, GitLab and other key systems demanded rapid, prioritized responses, as the kind of moment where that context matters.

ESET’s internal research also suggests a specialized model like NeoCortex can be trained at up to 200 times lower cost than a large general reasoning model, while delivering more accurate, defense-focused results. The company credits optimized training, a focus on cybersecurity vocabulary, lower computing requirements and privately owned hardware.

Also Read: Dubai Says Its Deepfake Detector Needs Just 7 Seconds Of Video

“AI is accelerating both cyberattacks and cyberdefenses. With ESET NeoCortex, we are applying our AI investment to develop specialized foundational cybersecurity intelligence that remains under our control and strengthens, rather than replaces, human expertise,” said Juraj Malcho, Chief Technology Officer at ESET.

As part of the design, NeoCortex forms part of a layered architecture combining specialized models, deterministic controls, correlation logic, validation, auditability and expert human oversight. Safeguards include restricted sandboxes, read-only tools, continuous monitoring, defined usage and token limits, a kill switch and human oversight of critical response decisions. The model is also developed and self-hosted on ESET’s own infrastructure, which the company says reduces exposure to shifts among third-party AI providers, including commercial and geopolitical ones.