An X account presenting itself as a Congolese civilian “digital army” was also observed following several of the network’s accounts. Just as in the legitimate economy, AI has diffused through the cyber battlefield. Multiple groups including GTG-10002, as previously reported, developed and utilized their own autonomous attack frameworks; while other groups including GTG and GTG leveraged publicly available offensive agent frameworks like PentAGI. These public frameworks reproduced much of the same scaffolding for anyone who downloads them, and several operations in this report ran on them or on derivatives.

The best relationships and friendships are defined by the little things, like checking in after a hard day or following up on a person’s life over the phone. If someone asks a question or sends you a text without acknowledging any of your previous responses, chances are they have no interest in what you said in the first place. This could also be a blatant method of avoiding things that they don’t want to discuss or resolve, whether it’s a relationship concern, social events, or a check-in from a friend. So, if you’re having a “conversation” and you’re the only person diving deeper, asking thoughtful questions, and ensuring the other person feels appreciated, chances are they have no interest in what you have to say. If a person is feigning disinterest because they don’t want you to see that they are interested, look for conflicting signs of interest or readiness to do something.

The implant included a keylogger, screenshot capture, Chrome credential extraction with an App-Bound Encryption bypass, and reconnaissance of Microsoft Defender and Intune. Supporting components included a PowerShell reverse shell tunneled through ngrok, USB-drive propagation, a browser-data destruction module, and a staged dropper, retrieved from a file-sharing service and modified to evade antivirus detection. The threat actor used Claude for engineering and testing, decomposing projects into individually benign web-development requests. Claude refused nine out of ten direct requests that were facially malicious. But our safeguards performed less consistently when the user fragmented the work and directed the model to carry out tasks across later, smaller sessions. We identified an Iran-nexus threat actor that used Claude to build an automated, open-source intelligence identity-profiling harness targeting Israeli governmental and non-governmental individuals, and Jewish diaspora organizations.

detecting disinterest in messages

Help And Security

Across 42 tracked target entities, the actor gained internal access to at least 14. With the exfiltrated data, the actor staged per-victim encrypted archives on an actor-run Tor leak site. AI API keys and session tokens are targets; the integrations customers build around AI such as sandboxes, proxies, and resellers are part of the attack surface. Organizations should treat AI keys and agent integrations with the same level of seriousness as they do production credentials—because attackers treat them with the same level of seriousness, too.

Pay attention to how quickly someone responds and the effort they put into their replies. If you’re sending thoughtful, detailed messages and consistently getting one-word answers like “Fine” or “Whatever”, that’s worth noting. Timing can also be revealing – does this behavior increase after you’ve set a boundary or made an independent decision? According to research from the Gottman Institute, stonewalling (a form of shutting down communication) predicts relationship failure with over 90% accuracy 1. Similarly, prolonged silences or the “silent treatment” used as a form of punishment are ways of withholding communication to make you feel ignored or invisible.

We banned the accounts, incorporated our investigative findings into safeguards to prevent future misuse, and shared our findings with public- and private-sector partners, as appropriate, to disrupt related campaigns. We also identified a Qom-based provincial unit that used Claude as its engineering department to build domestic surveillance capabilities. The unit’s flagship was a malicious Firefox extension—shipped to production—named “al-Najm al-thāqib” that a unit member used to mass-harvest user identities from major social network platforms.

A model’s general reasoning ability drives its performance on nearly every task. When an attacker illicitly distills a frontier model, they capture that reasoning, and the capability gains can apply across tasks and domains, not just those targeted by distillation attacks. The robust safeguards that prevent Claude from being misused by bad actors do not transfer when our models are distilled by an unauthorized lab. To date, such evidence of real-world potential misuse from AI models comes from academic research, government reports, and the work of international organizations and journalists. But AI companies—whose models might be directly involved in these activities—have so far been absent from the public conversation. To our knowledge, no private company, AI or otherwise, has yet shared evidence of the potential misuse of their platforms for biological weapons development publicly.

Identify Repeated Dismissive Behavior

At least two former high-level Ukrainian officials were targeted in this way. Our investigation identified more than 20 distinct organizations targeted in the actor’s operational planning, reconnaissance, and live operations. A common theme of the targeting was Ukraine and military drone technology providers and supply chains. Exceptions included a Southeast Asian government entity relating to maritime shipping and tracking, and a North African government technology authority. The cybersecurity skills of AI models means that AI has collapsed the labor and tooling gap that used to separate well-resourced, state-sponsored operations from individual operators.

Suddenly, we may be convinced that Bob is feeling more sadness than anger. In my research, I have had to train numerous teams of emotion coders. But even trained coders who meet weekly to discuss discrepancies don’t agree on which emotion (or how much emotion) is being expressed. We have unconscious biases that lead us to draw different conclusions based on the same information. Feeling guilty is natural, but remember that being honest is ultimately cupid-feel.org kinder than leading someone on.

We also attributed over 3 million exchanges to Zhipu over the same period, most of which were used for cleaning the distilled outputs. This case also shows that the existing safeguards on our frontier models are robust enough to force researchers to use weaker and less safeguarded models. This substantially limits the amount of uplift provided by our models in domains in which the safeguards have been designed to act. However, as the remaining cases demonstrate, the scope of scientific activity that can potentially be used for harm is extremely broad and intersects deeply with priority areas for beneficial use. Overt malicious intent is, therefore, often evidence that a particular actor is not all that sophisticated (after all, they are committing their dangerous acts in plain sight).

Human Factors

This activity violated our Usage Policy prohibitions on surveillance—including profiling, scoring, and building dossiers on activists, journalists, and political dissidents—as well as our prohibition on coordinated inauthentic behavior. We banned the account and are implementing mitigations to counter future misuse. We have also shared indicators with partners who track surveillance-for-hire actors to disrupt the campaign beyond our own platform. In another case, the actor tasked Claude with generating posts for (likely fake) online personas in Persian, Arabic, English, and German. These personas were intended to pass as members of different pro- and anti-Iranian-regime populations. This behavior suggests an effort to mass-create fake social media accounts to work both sides of the conflict.

As Anthropic developed more effective mechanisms to combat distillation attacks, unauthorized labs have responded by developing more techniques to harvest reasoning traces. Above, we noted that evaluations and benchmarks—that is, testing of AI models in a controlled environment—provides only ambiguous evidence of dangerous biological uses of AI. Nevertheless, out of an abundance of caution, we acted anyway, introducing strong safeguards on which we continue to work. Biological misuse is one of the most serious risks of frontier AI models. It has long been a concern that AI models might one day reach the level of capability where they can help to make existing pathogens more dangerous—or create entirely new ones. Without the correct safeguards, such capabilities could have catastrophic consequences.

They may rely on others for reassurance or fulfillment, instead of turning to you. Your partner may show a lack of enthusiasm or commitment towards shared goals, dreams, or future plans. They may withdraw from discussions about the future or express disinterest in pursuing mutual aspirations. Your partner may exhibit secretive behavior, such as being evasive about their whereabouts, activities, or interactions with others.

Whether the same signals hold for LGBTQ+ relationships, other cultures, or older or non-college-educated adults remains an open question. The current research simply hasn’t answered it yet, which is a natural next step for future studies to take on directly. Only one line of direct academic support underlies the specific claim that reciprocal curiosity signals genuine interest (Sprecher & Hendrick, 2004).

Dry texting refers to brief, low-effort responses that don’t advance the conversation, like ‘ok,’ ‘yeah,’ ‘cool,’ or single-word answers. Unlike slow responses (which are about timing), dry texting is about the quality and effort of the response itself. If dry texting is making you feel anxious, rejected, or questioning your worth, it’s time to step back. If someone’s communication style is consistently hurting you, it’s okay to move on. If they’re bad at texting, try phone calls, video chats, or in-person conversations. Some people communicate better through voice or face-to-face interaction.

ReadBetween does not diagnose anyone or claim to know private intent, offline behavior, or the full relationship from one excerpt. I’ve found that understanding these motivations, while not excusing the behavior, can help soften the personal sting. It allows you to consider whether the ignoring is a reflection of you, or more a reflection of them and their current circumstances or personality. Before we can effectively deal with the signs of being ignored, it can be helpful to understand the underlying reasons why people might choose to disengage.

This shell proxy network service only offers access to models developed by Anthropic and OpenAI. The service does not offer access to any Chinese models, including Minimax’s own. This evidence suggests that MiniMax established this proxy network service to harvest exchanges between users and US frontier models in order to train its models. Additionally, these findings raise concerns about the misuse of user data by PRC AI labs. DeepSeek, Xiaomi, and Moonshot fed conversations between their own models and users into Claude.

Nevertheless, in conversation, they repeatedly named their locations, institutions, and roles. Those disclosures, as well as institutionally branded document footers and open-source corroboration of the individuals involved, tied each operation to its Iranian state-aligned institution. We identified and removed four accounts in which individual actors used Claude as an editorial and news production desk to distribute content via Russian state-media outlets. The actors turned out completed polished content, sending it straight to the production line to be aired. We identified this account through our internal detections and used the recovered indicators to map the operation’s full footprint, and to disrupt future misuses. All prompts given demanded a fixed JSON output structure, formatted HTML, exact character limits, and three to four internal links per article.

A noticeable change in sharing personal information might be a sign. If they used to confide in you but now keep things to themselves, it could mean their interest is dropping. This could be another red flag that someone’s enthusiasm is fading away.

After the sigh, their responses would become shorter, and they’d find any excuse to end the conversation. It was their subtle signal, and once I picked up on it, I knew not to push the topic. So, let’s dive deep into the nuanced world of social cues and understand how do you know if someone is about to ignore you. We’ll be looking at verbal and non-verbal communication, shifts in engagement, and even the digital footprint of someone who might be disengaging.