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t de trois chercheurs en sécurité tourne au bras de fer public Questionnaire sur l’Australie, site gouvernemental infiltré, mail générique : ce que l’on sait de la nouvelle dérive agentique d’OpenAI Netflix consacre déjà un documentaire à l’affaire Hugging Face : à quoi peut-on s’attendre ? À lire 3,10 % brut pendant un an : combien rapporte réellement le livret boosté Bfor+ de BforBank ? « Si un humain avait fait ça, ce serait la médaille Fields » : l’IA d’OpenAI fait une percée sur l’hypothèse

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ysis places Argon level with GPT-6 Astra on its Intelligence Index at approximately 60% of Astra’s cost per task under introductory pricing: $1.99 per task. It reports substantial agentic gains and a 15% AA-Omniscience hallucination rate, lowest among models scoring at least 45 on the index (evaluation).Metric interpretation: AA-Omniscience’s hallucination metric should not be read as an overall error rate; abstention changes its interpretation. The Muse analysis illustrates this distinction wit

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ationsflut; Themenspecial: Digitale Souveränität; LinkedIn oder Xing: Wann ist was sinnvoller?; Wenn der Chef ein Deepfake ist; Multi-Cloud-Strategie mit europäischen Partnern; KI-Agenten in den Griff bekommen; Wer KI handeln lässt, muss ihr vertrauen können; Automatisierung von Routineaufgaben; Datensouveränität und KI-Nutzung vereinen Immer informiert bleiben: Klicken Sie auf das Plus-Symbol an einem Thema, um diesem zu folgen. Wir zeigen Ihnen alle neuen Inhalte zu Ihren Themen. Thema gefolgt

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ationsflut; Themenspecial: Digitale Souveränität; LinkedIn oder Xing: Wann ist was sinnvoller?; Wenn der Chef ein Deepfake ist; Multi-Cloud-Strategie mit europäischen Partnern; KI-Agenten in den Griff bekommen; Wer KI handeln lässt, muss ihr vertrauen können; Automatisierung von Routineaufgaben; Datensouveränität und KI-Nutzung vereinen Immer informiert bleiben: Klicken Sie auf das Plus-Symbol an einem Thema, um diesem zu folgen. Wir zeigen Ihnen alle neuen Inhalte zu Ihren Themen. Thema gefolgt

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ing degree from the Massachusetts Institute of Technology (MIT) and a master’s degree in data science from the University of California, Berkeley. A February 2025 announcement by Saudi venture capital firm Raed Ventures also identified an Alfozan as a former Meta senior engineer joining the firm as a venture partner. At OpenAI, Alfozan reportedly worked as an engineering lead associated with the company’s AI agents platform. According to the Justice Department, he began his employment last July.

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left unattended in another room and found his wallet, ID and a second, similar recorder. The FBI complaint says he had spent about a month, ending September 16, asking an AI productivity agent about meeting-room calendars and capabilities. OpenAI says its internal AI models identified him and traced the device, and that it has evidence he planned to deploy more recorders. No motive or recipient has been alleged, so the case’s weight turns on whether the FBI can show who the recordings were for.

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me’s defenses for a $250,000 Google bounty. Xbow engineer Brendan Dolan-Gavitt ran OpenAI’s gpt-5.6-sol, against the browser’s source code over six days and $40,000 of compute The agents searched code, tested hypotheses, and drafted the exploit stages, while Dolan-Gavitt and colleagues picked targets, supplied context, and decided which pieces to join. Reconstructing the Codex logs, Xbow put the compute bill at roughly $40,000, a fraction of the prize, and well below the months of specialist lab

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in the complaint.” The incident comes at a time of heightened scrutiny around safety and security in the AI industry, following a number of cyber incidents involving autonomous AI agents, which escaped their testing environments and hacked into third-party systems. Dario Amodei, chief executive of OpenAI rival Anthropic PBC, has called on the industry to coordinate an industry-wide slowdown on the development of frontier AI models so that such systems can be evaluated for safety by neutral exper

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has been a legal permanent resident of the country since September 2020 and was educated in the U.S. He was an engineering lead, according to his LinkedIn, who worked on OpenAI’s “Agents Platform,” according to his X bio. He formerly worked at Meta for five years, and is a graduate of the Massachusetts Institute of Technology (2016) and UC Berkeley (2025). He was arrested three days before he, his spouse, and a third unnamed family member were set to depart on a one-way flight to Saudi Arabia vi

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has been a legal permanent resident of the country since September 2020 and was educated in the U.S. He was an engineering lead, according to his LinkedIn, who worked on OpenAI’s “Agents Platform,” according to his X bio. He formerly worked at Meta for five years, and is a graduate of the Massachusetts Institute of Technology (2016) and UC Berkeley (2025). He was arrested three days before he, his spouse, and a third unnamed family member were set to depart on a one-way flight to Saudi Arabia vi

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erstand the device and where it had come from, identifying that a specific employee had planted it a few days earlier. We referred the matter to the FBI, and we’re grateful to the agents and prosecutors who moved quickly to make an arrest. The FBI’s investigation is ongoing and we will continue to support their work. At this time, we have no indications of this individual inappropriately accessing or exfiltrating model weights, source code, or customer data. The employee was terminated. We take

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The first question in every agent conversation I’ve been part of is who pays when it breaks. And most discussion of AI risk stops at hallucination. So glad to see someone is building the answer. @harborai , a startup founded by 4 Stanford graduates, has raised a $10M seed round to insure companies against failures by their AI agents. Harbor’s policy lists 6 named perils: hallucinations, action errors, bias and discrimination, contract and SLA failure, data leakage, and IP infringement and defama

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Discovery of ‘sophisticated’ gadget adds to company’s list of privacy concerns after hackings by rogue agents OpenAI said it has found a hidden recording device in one of its offices and has referred the matter to the FBI. One of its employees has been arrested. In a statement on Tuesday, the San Francisco-based AI company said it discovered the “sophisticated recording device” and used one of its “models to understand the device and where it had come from”. The company has identified “that a sp

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me, product-wise is amazing. For the companies, it’s not very good.” Pluto’s entire bet is that securing such environments will require security tools to pay attention to what AI agents are doing in real time, in addition to keeping track of what and how employees are building and deploying. “We’re moving from user behavior to agent behavior,” Bahat said. In line with that vision, the startup’s software monitors the AI tools employees use, the skills, extensions, MCP servers, and other componen

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h alone is almost 100 GB, and a compressed working copy is over 25 GB. We perform on the order of 25 million code checkouts per day for CI, before counting developer environments, agent sandboxes, and research jobs. Fetched naively, that would be over 600 PB of git traffic per day. The new system was built by a team of seven people, and the migration from Git was completed in five months. As an aside, I've been trying adversarial review in my own projects recently, where you have a model try and

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Research. He holds a master’s degree in journalism from Northwestern. Similar articles ElevenLabs launches in the NetherlandsCategoryCompanyDateOct 1, 2026; ElevenLabs valuation increases to $22 billion fueled by enterprise demand for conversational agentsCategoryCompanyDateSep 30, 2026; ElevenLabs launches in BelgiumCategoryCompanyDateSep 30, 2026; Universal Music Group and ElevenLabs announce multi-year strategic agreementCategoryCompanyDateSep 10, 2026 Create with the highest quality AI Audio

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remain our brand for small, efficient multimodal models. Our mission is to make open superintelligence accessible to every company. If you’re building vision models, computer-use agents or need the fastest inference on the market, we’d love to work with you. References Korrapati, Vikhyat. “moondream2.” Hugging Face. Accessed October 13, 2026; Moondream. “Photon: Official Moondream Inference Engine.” Accessed October 13, 2026; Moondream. “Moondream 3.1: Beyond Benchmarks.” Moondream Blog, 2026;

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Perplexity's revenue is growing 5x year over year He credits the agent boom. Agents that do real computer work need web search, a browser, and a system that switches between many AI models, and Perplexity already had all 3 pieces built before the demand arrived. ---- Full video on "Sourcery with Molly O'Shea" (@MollySOShea) YouTube channel, (link in comment)

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ew Maia 300 chip being announced! Maia 300 is a complete intelligent system designed for the new types of AI workloads emerging today: Long-context reasoning, latency-sensitive conversational experiences and sustained, multi-step agentic tasks. Maia 200 is now serving Microsoft production workloads, including Microsoft Copilot, and supporting the MAI team as they develop next-generation models, with GitHub Copilot and Microsoft Foundry to follow by end of year. A step closer towards full stack 👀

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e token throughput of a Maia 200 rack. The shift will start in 2027 with Maia 300, a third-generation accelerator built for long-context reasoning, low-latency chat and multi-step agent tasks. Its predecessor, Maia 200, already serves production traffic including Microsoft Copilot and Microsoft claims Maia 200 produces up to 1.7x more tokens per watt than leading GPU infrastructure. Maia 300 goes after the cost of moving data, which Microsoft says now limits large inference systems more than raw

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