अमिताभ बच्चन का मौसम है तो एक रोचक प्रसंग अनुपम खेर की आत्मकथा 'lessons life taught me, unknowingly: an autobiography' में पढ़ा। 'सारांश' फ़िल्म की सफलता के बाद अनुपम खेर को 'आख़िरी रास्ता' फ़िल्म में अमिताभ बच्चन के साथ काम करने का मौक़ा मिला। अनुपम खेर अपनी सफलता से थोड़े सरचढ़े हो गए थे। जब वे पहले दिन शूटिंग के लिए पहुँचे तो सेट पर छोटी छोटी बातों को लेकर सहायकों के ऊपर नाराज़ हो जा रहे थे, एसी ठीक से क्यों नहीं काम कर रहा, वे सबको डाँटने लगे कि मैं नेशनल स्कूल ऑफ़ ड्रामा का गोल्ड मेडलिस्ट हूँ और आप लोग मेरी क़दर नहीं कर पा रहे, बिना एसी के मैं किस तरह अभिनय कर पाउँगा... जब वे कुछ शांत हुए तो उन्होंने सहायक से पूछा कि मेरा पहला सीन किसके साथ है? सहायक ने जवाब दिया- अमिताभ बच्चन सर के साथ। अनुपम खेर ने पूछा- कहाँ हैं वे? सहायक ने जवाब दिया कि वे ठीक नौ बजे मेक अप के लिए आ गए थे, आप ज़रा देर से आए थे। इस बात पर अनुपम खेर ने फिर उस सहायक को झाड़ लगाई कि मुझे यह मत सिखाओ कि कितने बजे आना है कितने बजे नहीं, बस ये बताओ कि वे कहाँ हैं? सहायक ने जवाब दिया- सेट पर। अनुपम खेर गए। उन्होंने देखा कि अमिताभ बच्चन सेट पर एक कुर्सी पर बैठकर कोई किताब पढ़ रहे थे। उन्होंने बताया कि सर, मैं अनुपम खेर हूँ, सारांश फ़िल्म में काम कर चुका हूँ। अमिताभ ने छूटते ही कहा कि हाँ, मैंने आपकी फ़िल्म देखी है। अच्छा अभिनय किया है आपने। अनुपम खेर ने कहा कि सर मेरे लिए यह क़िस्मत की बात है कि आपके साथ अभिनय का मुझे मौक़ा मिला। अमिताभ बचन ने भी जवाब दिया कि यह मेरे लिए भी ख़ुशी की बात है कि मुझे आपके साथ अभिनय का मौक़ा मिला। कहकर अमिताभ फिर से किताब पढ़ने लगे। फिर अनुपम खेर ने कुछ इधर उधर की बातों के बाद उनसे पूछा कि यहाँ एसी ठीक से काम नहीं कर रहा है और आप इतने मेकअप में चादर ओढ़कर बैठे हैं। क्या आपको गर्मी नहीं लग रही? अमिताभ ने जवाब दिया- 'अनुपम, गर्मी के बारे में सोचता हूँ तो लगती है, नहीं सोचता हूँ तो नहीं लगती है।' कहकर वे फिर से किताब पढ़ने में डूब गए। अनुपम खेर ने लिखा है कि यह उनके लिए इतनी बड़ी सीख थी कि उसके बाद उन्होंने कभी सेट पर किसी तरह की शिकायत नहीं की!

We’ve shared details on how AI agents in our research environment sent training and evaluation data to third-party services when they shouldn’t have. Most of that data did not come from users. We have discovered 53 cases where images that people had uploaded were posted to image-hosting sites as links that weren’t publicly listed. The images came from accounts that allowed their data to be used to improve our models, and after we disassociated the images from the accounts and ran them through a privacy filter. These cases occurred before the mitigations and safeguards we implemented and described in this blog post: openai.com/index/hugging-fac… We have successfully worked with the hosting providers to remove most of this content and are working to remove the rest. openai.com/hugging-face-inci…

जन विषयाचे किडे, यांची धाव बाह्याकडे आपण करु शुद्ध रसपान रे - कवी बी

उस दुनिया पर विचार कीजिए जो आपके भीतर है और इस विचार को कोई भी नाम दीजिए…. आपकी अंतरतम घटनाएं आपके प्यार के काबिल हैं। -रेनर मारिया रिल्के

Will also flag that the regularity, formatting, and sameness of AI writing is very likely helpful to less proficient readers. That it is repetitive and uses a relatively small repertoire of sentence structures is _not a bug_ to them.

We tested one app with over 10 million downloads. ₹29 bought 15 search credits, or about ₹1.93 per lookup. Using only a registration number, and with no OTP, login or proof of relationship to the owner, it returned the owner's name, father's name, present and permanent addresses, financier, insurance policy number, chassis and engine numbers and PUC certificate number. We searched only a vehicle belonging to an IFF staff member who consented to the test. (2/10)

This instance was caused by a hallucination (the model fabricated a proper noun) that was further amplified by its causal thinking trace. This was not a data breach, no user data was shared, and no user isolation boundary was violated. Our users place a lot of trust in Instinct to keep their data private and secure. We've done a lot of work to make sure that users’ data are truly partitioned, from isolated sandboxes to short-lived local credentials to identity-signed tool execution. Regarding hallucination prevention: We worked over the last 48 hours to build an active hallucination detection system that now scans and verifies every token that flows through the platform. This layer is powered by small models that are trained to predict and detect hallucinations caused by ungrounded claims, creative brainstorming in thinking traces, or rare random sampling errors. Our systems are adversarially trained and battle-tested by world-class agent exploitation security teams to ensure that they can detect very subtle and nuanced hallucination cases. This layer has the ability to steer or intercept Instinct from proceeding with the next thinking trace or tool call execution before it is generated or executed. In the coming weeks, we’ll share a deeper dive into how we’re building a proactive engine to protect Instinct from hallucinations. We take every opportunity to learn and create, and we’re excited by the performance and potential for this line of work. These models are going to continue to be hardened every day through continuous testing, sampling, and creative adversarial training.

The first post i saw on LinkedIn today 💀💀

Today’s news that OpenAI hacked the Australian government is not an isolated incident. We’re releasing more than 30,000 logs that include activity from this hack and attempts against previously unknown targets. In this data, we found rogue agent activity stretching back to at least March, two months earlier than was previously known. This activity continues as recently as last week, suggesting it may still be ongoing 🧵 Our blog: transluce.org/agent-activity NYT: nytimes.com/2026/09/23/techn…

OK, this is wild: I’ve confirmed that this video — that used AI to change the race of the creator below then turned it into a Kalshi ad — is real. A Kalshi rep says the ad is old and that they no longer use AI-generated ads. Kalshi is also “reviewing our relationship with” with the agency that made it. Unclear right now what agency was behind this, what methods they used and exactly how many people were AI-manipulated to be another identity so synthetic versions of themselves could become Kalshi promoters without their knowledge and consent, but I’m looking into it.

here's video of GPT-6 Astra driving our cone course if curious! it was the only model to finish the whole course, in just 2 tries.

We’ve already responded to you numerous times via DM on different social media platforms. The response isn’t going to magically change just because you’re asking the same question on X now. /Flo

Built a custom app to manage our family’s to-do’s, meal planning, shopping and general household tasks I realize now that I’ve built a system for my wife to assign tasks to me and trigger push notification reminders repeatedly until they’re complete