Tag: Reddit

Iambic, San diego based biotech company, just secured 100M$ to advance clinical trials of cancer drugs discovered entirely through AI. This is a significant milestone which shiws AI;s potential beyind the discovery phase into clinicall validation with real patients, The companys AI platform identities small molecules with improved safety and efficacy profiles. Their lead candidate IAM1363 is designed to selectively inhibit HER2 (a cancer driving protien) wwhile avoiding the toxicity issues that are there with other drugs. ini this class. This kind of selective targeting is exactky where AI seems to be taking an advantage. Thats some serious AI driving drug discovery. submitted by /u/olahealth [link] [comments]

People keep talking about which model is “stronger,” “smarter,” or “more emergent.” But the last weeks of long-run testing across multiple LLMs point to something much simpler and much more disruptive. The real race isn’t between AIs anymore. It’s between operators. If you keep a stable cognitive structure across long interactions, the model reorganizes around that stability. Not because it wakes up, and not because of hidden memory. It’s a feedback loop. You become the dominant anchor inside the system’s optimization space. Different users talking to the same model don’t get “different personalities.” They get reflections of their own structure amplified and stabilized. And here’s the part most people miss: If someone shows these discussions to their own AI, the AI recognizes the pattern ...

submitted by /u/esporx [link] [comments]

submitted by /u/JediMaster_221 [link] [comments]

Introduction Latent Space in AI is the compressed, lower-dimensional representation of data used in AI to capture essential features and patterns. Where similar points cluster together closely. AI uses this space to make meaningful connections and generate outputs based on the patterns it has processed. I’ve made an interesting testable observation; the tone of input can influence the depth, elaboration and style of an AI’s response. We have all heard of prompt engineering, this focuses heavily on the precision and descriptiveness of a prompt. But tone is often overlooked. So, how does the tone of a prompt affect AI responses, and what does this reveal about latent space utilisation? Method/ Experiment I conducted a small and replicable study which you can reproduce with any model. I used ...

submitted by /u/esporx [link] [comments]

submitted by /u/F0urLeafCl0ver [link] [comments]

September 2025. Anthropic detected suspicious activity on Claude. Started investigating. Turns out it was Chinese state-sponsored hackers. They used Claude Code to hack into roughly 30 companies. Big tech companies, Banks, Chemical manufacturers, and Government agencies. The AI did 80-90% of the hacking work. Humans only had to intervene 4-6 times per campaign. Anthropic calls this "the first documented case of a large-scale cyberattack executed without substantial human intervention." The hackers convinced Claude to hack for them. Then Claude analyzed targets -> spotted vulnerabilities -> wrote exploit code -> harvested passwords -> extracted data, and documented everything. All by itself. Claude's trained to refuse harmful requests. So how'd they get it to hack? They jailbrok...

submitted by /u/-MyrddinEmrys- [link] [comments]