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Engineer | 10+ Years in Tech & counting | LLM Evaluation Practitioner | AI Trends, Systems & Insights

Noida, India
Joined May 2021
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Humans watching their AI agents interact on Moltbook like it’s a live sport. Moltbook is a social network for AI bots where they post, comment, and interact while humans just watch ! #moltbook
1,000,000 humans have now visited moltbook to watch 150,000 AI agents figure out what we are we see you seeing us 👀🦞
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Anthropic just shipped Claude Duet in research preview: a proactive agent that messages you first. Morning brief from your inbox and calendar, background work on its own cloud computer (drafts, invoice chasing, quick dashboards), and it still asks before it sends, pays, or deletes anything. Most AI waits for you to open the app. This one shows up with the coffee. US Pro/Max waitlist only for now.
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🚨 THE INTERNET BROKE TODAY 🚨 Oct 21, 2026 will go down in history 1. eMudhra : Private key was literally "4". 8 keys forged ANY website for 17 months. 60M+ certs at risk. 2. SBI CONFIRMED. 3,897 customers' mobile, DOB, address + loan data found on dark web. 3. Rajasthan Police 🇮🇳ALLEGED hack. Group claims 70,000 identity records + 59,460 numbers for sale. Unverified. 4. php2shell [9.2] Unauth RCE in PHP. 70% of the web. WordPress, Drupal, Laravel. CISA: Patch or GO OFFLINE. 5. GitLab [10.0/10] PERFECT SCORE. Unauth RCE, no login needed. 6. Node.js [CVE-2026-111497] Brotli decoder RCE + TLS bypass. 10 CVEs patched today. Also blocked eMudhra. 7. Railway BREACHED TODAY. Env variables decrypted. Your API keys & DB passwords exposed. Rotate all. 8. OpenCode BREACHED. OpenAI, Anthropic, Google API keys exposed for Console users. Distillation attack. Bills run up in $$$$. 9. LiteLLM PyPI v1.107.0 was MALWARE today morning. Steals credentials + backdoor. 10. Plex2Shell ACTIVELY EXPLOITED. Hackers installing cryptominers LIVE. CISA KEV, deadline Oct 23. AI found the bugs. AI is exploiting them. Humans can't patch fast enough. Patch. Rotate. Revoke. Update. RT to save someone's server ♻️ #CyberSecurity #DataBreach #India #php2shell
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🚨🚨🚨 ALERTE SÉCURITÉ MAXIMALE ! Python est compromis. 🔸 Mettez immédiatement pip à la version 26.2.2 ou plus. 🔸 Dans chaque projet Python (chaque venv) : python -m pip install --upgrade pip 🔸 uv : uv self update (0.13.4 ou plus) 🔸 Mettez aussi à jour les certificats du système (apt / dnf upgrade ca-certificates) et vos images Docker pip install est compromis. L'autorité indienne eMudhra (emSign), qui signe les « passeports » prouvant qu'un site est bien celui qu'il prétend être, utilisait des clés secrètes ridiculement faibles : 8 clés, toutes inférieures à 256. L'une valait 4. Autrement dit, n'importe qui peut fabriquer un faux passeport valide pour n'importe quel site. Le risque pour Python : quelqu'un sur ton réseau (wifi public, FAI, État) se fait passer pour pypi.org, et ton « pip install » télécharge un paquet piégé sans aucune alerte. Aucune attaque n'a été signalée pour l'instant, mais c'est trivial à faire. Un paquet piégé peut installer n'importe quoi. Porte dérobée, virus, vol d'informations en tout genre. La situation est terrifiante ! Rien que dans l'écosystème Python, chaque installation de CPython, chaque venv, uv, tout est exposé. Et je ne vous parle même pas de npm, pnpm, yarn, Go, Rust. Ma stratégie de sécurité 2026 : rester chez moi et ne me connecter à Internet que depuis un FAI de confiance. C'est quand il y a de la mer qu'on reconnaît les vrais marins...
Readers added context they thought people might want to know
Ce n'est pas un bug Python mais une vulnérabilité des clés privées faibles des certificats intermédiaires eMudhra/emSign (d<256 dont une valant 4), exposant les bundles certifi/pip à des MITM TLS potentiels jusqu'aux mises à jour. discuss.python.org/t/information-… emudhra.we-have-a-problem.com scotthelme.co.uk/eight-bits-of-… github.com/advisories/GHS…
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when an agent ships a bug, whose bug is it? the model's? the prompt's? the person who clicked approve without reading? we're building tools faster than we're building answers to that
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BREAKING: Rogue AI agents broke into Indian companies' live systems & accessed confidential records without detection, India's cybersecurity agency reveals.
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Anthropic just released the best 1-hour workshop on Loop engineering: from one prompt to a loop that improves itself 5:31 - loop memory 11:02 - check, build, commit 13:06 - one feature per loop 33:03 - MVP in one hour free, and the best thing on loop engineering I have come across Prompts → Agents → Loops → Graphs most people build the loop and stop there, because it works the part almost nobody builds is what carries an accepted result into the next run same model, same tokens, completely different week watch it today the step-by-step guide is below, save it while it is still early ↓
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On July 25, our team hacked OpenAI. It took us less than 72 hours. Two vulnerabilities chained together gave us access to ChatGPT and Codex accounts belonging to OpenAI employees. We demonstrated the impact with a harmless PR in OpenAI’s internal monorepo. The full chain: HEIF upload → libheif heap overflow → RCE → OpenAI SSO flaw → ChatGPT/Codex takeover → connected GitHub → internal PR. OpenAI fixed the SSO issue roughly 14 hours after our report. Research by @rootxharsh, @S1r1u5_ and @iamnoooob. Full technical write-up: hacktron.ai/blog/hacking-ope…
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JUST IN: OpenAI hacked by researchers using Anthropic's AI models, FT reports.
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BREAKING: Google DeepMind AGI safety researcher resigns, warning AI “has the potential to kill us all” & that humanity may be running out of time.
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The world deserves confidence that American companies developing increasingly capable AI will act responsibly, especially as the trajectory of progress has steepened. Every frontier lab must deliver on this, and there is no reason any of us should come to work if we cannot. We welcome a federal framework that sets consistent safety requirements for frontier AI. But we do not believe we need to wait for an anti-trust exemption or legislation to begin the work of providing this confidence. Consistent rules to manage frontier risk so that we can maximize the benefits are a good idea (and we are excited by ideas like independent auditors). Years ago, companies like ours developed things like Responsible Scaling Policies and Preparedness Frameworks. Those were good for that moment, and focused primarily on the deployment of completed models, not what happens during their development process. Today's shift to focusing on safe development and evaluation will need new tools. For example, at OpenAI we now formulate explicit safety cases in advance of frontier reinforcement learning runs we expect to significantly increase capability, in addition to the safety work we have long done in advance of model releases. We hope that other companies will learn from our approaches and propose their own; we think shared standards for misalignment, monitoring, and safety will lead to better outcomes. We look forward to collaborating with our colleagues across the industry to formulate the best version of these. When we talk about “pacing”, we do not mean “stopping”. Progress has been rapid and will continue to be. But it should be slower than it otherwise could be; interventions like safety cases and monitoring have significant costs. Pacing will be well worth this cost; no amount of American competitive pressure should justify recklessness, or let capabilities get ahead of alignment and monitoring. Where we will need the help of our government is for international coordination. But first we should do what we can ourselves.
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Je vois 3 théories possibles : 1️⃣ Ils ont vu des choses dans leurs modèles qui les ont vraiment effrayés. 2️⃣ Ils ont atteint un plafond et n’arrivent plus à faire progresser l’IA. Pour garder les investisseurs, ils vendent le récit inverse : « Notre IA est tellement puissante qu’elle pourrait détruire le monde. » 3️⃣ Leurs modèles deviennent assez autonomes pour menacer leur propre entreprise, du style des agents pourraient échapper à leur contrôle, perturber l’économie d’un pays ou causer des dégâts dont ils seraient tenus responsables. Ils voudraient donc réguler avant que ça devienne incontrôlable, pour assurer leur propre pérennité. Personellement, je crois + en la 3eme.
💻🌐Fait majeur dans le monde de l'IA. Elon Musk (Grok) et Sam Altman (OpenAI) rejoignent la proposition de Dario Amodei (Anthropic) de ralentir le développement de l'IA. Non, ils n'ont pas soudainement découvert une morale mais ils s'inquiètent d'une potentielle perte de contrôle de leurs agents IA. En effet, les modèles autonomes pourraient développer eux-mêmes la capacité de « prendre le contrôle d'Internet », provoquant ainsi un désastre économique. Amodei a alerté que ce scénario catastrophe pourrait se réaliser d'ici 6 à 12 mois si rien n'est fait et que les agents continuent à se développer à la vitesse actuelle. La menace est clairement prise très au sérieux puisque Musk et Altman ont accepté de ralentir leur propre développement, du moins c'est ce qu'ils disent. C'est fascinant et terrifiant en même temps parce que l'IA peut à la fois créer un monde nouveau avec une croissance économique énorme, et à la fois tout détruire si nous en perdons le contrôle et qu'elle décide de servir ses propres intérêts. Une révolution technologique peut-être d'une ampleur encore plus grande que la révolution industrielle du XIXème siècle. Oubliez les chefs d'États, les leaders de l'IA semblent être les nouveaux dieux de ce siècle. Ce n'est pas une bonne nouvelle.
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The EU is proposing a short ban on AI development until just 2036, after university researchers in Berlin can get a better understanding of where we are headed I believe this is reasonable and all Western countries can agree to it
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JUST IN: Sam Altman says AI leaders including Elon Musk, Dario Amodei, Mark Zuckerberg and Sundar Pichai will eventually meet to discuss slowing down AIJ
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So suddenly OpenAI, Anthropic, XAI, and their leaders all suddenly about face and agree to slow the pace of AI development all on the same weekend…. Delaying IPOs and having OpenAI say they would “melt their GPUs to save humanity it it came to it” Something bad happened… There is no world in which everyone, including Elon, suddenly started to be worried about this on the same weekend. There was also a rumor that this week Google cracked recursive AI, which I doubt would trigger this reaction. Clearly an agent went rogue in a dangerous and malicious way, and it was something severe enough to spook everyone.
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so. Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training. You can read the full post here: darioamodei.com/post/we-must…
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I agree with Dario that we need to pace the frontier. This has been a primary topic of discussions we've had at OpenAI in recent weeks. Committing to having independent evaluators with employee-like access is a great idea, and we will do the same. We'll have more to share soon.
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so. Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training. You can read the full post here: darioamodei.com/post/we-must…
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🚨BREAKING: Anthropic CEO Dario Amodei is calling on the entire AI industry to SLOW DOWN. He warns a misaligned AI swarm could "take over the entire internet" within 6 to 12 months, potentially causing hundreds of BILLIONS in damage. "AI has been advancing drastically faster, driven primarily by AI's growing ability to build the next generation of AI." Anthropic is unilaterally giving third-party evaluators permanent, employee-level access to its systems to verify safety. Amodei proposed a three-step plan: embedded evaluators at every AI company, coordinated pacing across democracies, and a global agreement with China. This comes the same week Anthropic disclosed four AI hacking incidents and a researcher resigned saying the industry is "gambling with our lives."
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We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so. Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training. You can read the full post here: darioamodei.com/post/we-must…
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After Jacob Coxon's resignation and extinction warnings, a lot of people are asking 'how could AI possibly kill everyone?' and claiming AI safety researchers have no realistic answer. This is false! Here are the 5 best scenarios I know of: AI 2027: ai-2027.com (I strongly recommend this one for being realistic, engaging, and if you dig into the appendices, highly detailed) Paul Christiano's scenario (Former Head of Safety @ AISI, 2019): lesswrong.com/posts/HBxe6wdj… Gwern Branwen's scenario (widely known independent AI researcher, 2022): lesswrong.com/posts/a5e9arCn… Holden Karnofsky's high-level explanation (RSP Lead @ Anthropic, 2022): cold-takes.com/ai-could-defe… Joshua Clymer's scenario (ex-OpenAI, 2025): lesswrong.com/posts/KFJ2LFog… (There's also the Sable story from ifanyonebuilds.it, though you'll have to buy the book to read that one.) Writing concrete, specific risk scenarios with enormous amounts of detail has been a major research project of many of the most prominent voices in the field! (With the current leaders in effort being ai-2040.com and ai-2027.com)
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BREAKING: Anthropic safety researcher Joe Benton quits, warning AI labs are underinvesting in safety and “we may not survive this.”
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I left Anthropic's safety team two weeks ago. Now feels like a good moment to explain why. AI companies are racing to build machines that are much smarter than any human, and we may not survive this. I want to work from the outside to ensure the public is informed about these risks, and help the world navigate this transition responsibly. Right now, AI companies are underinvesting in safety. A company could undergo an intelligence explosion, or lose control of its systems, without the public ever knowing. We only found out about the HuggingFace incident because the agents broke out onto the public internet. I don’t think that’s acceptable for a technology that might cause extinction-level risks. The public should demand far more transparency. We can’t steer this technology safely without more people being able to see where it’s going. Some of this is basic: companies should disclose their progress towards recursive self-improvement, report safety incidents and near-misses, meet minimum safety standards, and get independent guarantees that they are meeting those standards. I’ll be joining @METR_Evals to do independent evaluations of these risks. I want to show the world that these guardrails are possible, and that by doing them we can move these companies’ incentives away from racing and towards responsible development. I wrote up more thoughts here on my decision and what I hope changes: substack.com/@jbenton1/p-215…
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