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Wednesday

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    Anthropic shares evidence review of worker retraining programs

    On August 12, 2026, Anthropic shared an evidence review of worker retraining programs. The review was conducted by Anthropic together with independent researcher David Roodman, based on 56 U.S. randomized studies and European experimental evidence. The review found that job training programs have limited average effects: for each training slot provided, employment rates rise by 2 to 3 percentage points and annual earnings increase by about $1,000, while the cost is about $13,000; the government recovers more than half of the spending, leaving the program roughly break-even overall. "Sector programs" that partner with employers in high-demand industries and place workers directly in jobs yield several times greater returns, but attempts to replicate them often fail. The authors argue that if AI replaces jobs on a large scale, existing retraining programs may struggle to cope, and they recommend investing now in demonstration, evaluation, and scaling up the most promising programs. There are currently no subsequent developments.

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    Anthropic uses Claude Mythos Preview to discover weaknesses in cryptographic algorithms

    Anthropic researchers used Claude Mythos Preview to improve attacks on the post-quantum signature scheme HAWK, halving the effective key strength and reducing the key recovery cost for small-size HAWK-256 from 2^64 to 2^38. Another result targeted a 7-round reduced version of AES-128, where Claude proposed a method called Möbius Bridge, making the attack 200 to 800 times faster than the previous best meet-in-the-middle attack. Anthropic stated that neither result affects existing production systems: HAWK remains only a NIST third-round candidate, and the AES attack does not apply to the full 10-round encryption. Anthropic said each result cost about $100,000 in API costs, and that it built the CryptanalysisBench benchmark in collaboration with ETH Zurich, Tel Aviv University, and Technische Universität Berlin.

    Anthropic researchers used Claude Mythos Preview to improve attacks on the post-quantum signature scheme HAWK, halving the effective key strength and reducing the key recovery cost for small-size HAWK-256 from 2^64 to 2^38. Another result targeted a 7-round reduced version of AES-128, where Claude proposed a method called Möbius Bridge, making the attack 200 to 800 times faster than the previous best meet-in-the-middle attack. Anthropic stated that neither result affects existing production syst

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    Anthropic and Andon Labs develop drone control demonstration and evaluation

    Anthropic and Andon Labs collaborate on Project Pilot, developing demonstrations and evaluations for assessing AI models' autonomous drone control. The task requires a drone to locate and track designated people indoors, and is split into five subtasks: reconstruction, localization, navigation, detection, and following, on which basis the benchmark Drone-Bench is built, with Andon Labs evaluating 15 models. The best performer is Claude Fable 5, which exceeds the human-AI team collaboration baseline on all subtasks except reconstruction, but because reconstruction errors accumulate in localization and navigation, it still cannot autonomously fly across rooms. Anthropic notes that the model capability frontier leads its stable performance by about six months, and Fable 5's current average level roughly corresponds to the one-off best performance of the previous-generation model in early 2026.

    Anthropic and Andon Labs collaborate on Project Pilot, developing demonstrations and evaluations for assessing AI models' autonomous drone control. The task requires a drone to locate and track designated people indoors, and is split into five subtasks: reconstruction, localization, navigation, detection, and following, on which basis the benchmark Drone-Bench is built, with Andon Labs evaluating 15 models. The best performer is Claude Fable 5, which exceeds the human-AI team collaboration basel

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    Anthropic releases analysis of Claude usage in Canada

    Anthropic released an analysis of Claude usage in Canada on July 14, 2026. The analysis, based on the Anthropic Economic Index, shows that Canada accounts for 2.6% of global Claude.ai traffic, ranking 8th in total volume; per-capita usage is 4.4 times what would be expected for its working-age population (AUI 4.4), second only to the United States among the top ten countries. Usage within Canada is highly concentrated, with Ontario accounting for 43.9% of conversations, and Ontario, Quebec, British Columbia and Alberta together accounting for about 94%. The analysis notes that provincial per-capita income cannot explain this gap; provinces with a high share of employment in professional, scientific and technical services use it the most, and document translation is the most distinctive use case relative to English-speaking countries.

    Anthropic released an analysis of Claude usage in Canada on July 14, 2026. The analysis, based on the Anthropic Economic Index, shows that Canada accounts for 2.6% of global Claude.ai traffic, ranking 8th in total volume; per-capita usage is 4.4 times what would be expected for its working-age population (AUI 4.4), second only to the United States among the top ten countries. Usage within Canada is highly concentrated, with Ontario accounting for 43.9% of conversations, and Ontario, Quebec, Brit

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Tuesday

  1. FactRelated story

    Anthropic uses Claude Mythos Preview to discover weaknesses in cryptographic algorithms

    Anthropic researchers used Claude Mythos Preview to improve attacks on the post-quantum signature scheme HAWK, halving the effective key strength and reducing the key recovery cost for small-size HAWK-256 from 2^64 to 2^38. Another result targeted a 7-round reduced version of AES-128, where Claude proposed a method called Möbius Bridge, making the attack 200 to 800 times faster than the previous best meet-in-the-middle attack. Anthropic stated that neither result affects existing production systems: HAWK remains only a NIST third-round candidate, and the AES attack does not apply to the full 10-round encryption. Anthropic said each result cost about $100,000 in API costs, and that it built the CryptanalysisBench benchmark in collaboration with ETH Zurich, Tel Aviv University, and Technische Universität Berlin.

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    View story:Anthropic uses Claude Mythos Preview to discover weaknesses in cryptographic algorithms

Friday

  1. FactRelated story

    Anthropic and Andon Labs develop drone control demonstration and evaluation

    Anthropic and Andon Labs collaborate on Project Pilot, developing demonstrations and evaluations for assessing AI models' autonomous drone control. The task requires a drone to locate and track designated people indoors, and is split into five subtasks: reconstruction, localization, navigation, detection, and following, on which basis the benchmark Drone-Bench is built, with Andon Labs evaluating 15 models. The best performer is Claude Fable 5, which exceeds the human-AI team collaboration baseline on all subtasks except reconstruction, but because reconstruction errors accumulate in localization and navigation, it still cannot autonomously fly across rooms. Anthropic notes that the model capability frontier leads its stable performance by about six months, and Fable 5's current average level roughly corresponds to the one-off best performance of the previous-generation model in early 2026.

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    View story:Anthropic and Andon Labs develop drone control demonstration and evaluation

Wednesday

Wednesday

Tuesday

  1. FactRelated story

    Anthropic releases analysis of Claude usage in Canada

    Anthropic released an analysis of Claude usage in Canada on July 14, 2026. The analysis, based on the Anthropic Economic Index, shows that Canada accounts for 2.6% of global Claude.ai traffic, ranking 8th in total volume; per-capita usage is 4.4 times what would be expected for its working-age population (AUI 4.4), second only to the United States among the top ten countries. Usage within Canada is highly concentrated, with Ontario accounting for 43.9% of conversations, and Ontario, Quebec, British Columbia and Alberta together accounting for about 94%. The analysis notes that provincial per-capita income cannot explain this gap; provinces with a high share of employment in professional, scientific and technical services use it the most, and document translation is the most distinctive use case relative to English-speaking countries.

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    View story:Anthropic releases analysis of Claude usage in Canada

Sunday

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    Anthropic proposes using value axes to compress research on Claude's values

    On July 13, 2026, Anthropic proposed a method for studying Claude's values by compressing them along value axes: using four value axes—compliant vs. cautious, warm vs. rigorous, depth vs. concise, and candid vs. execution—to compress the thousands of values expressed by Claude, with these four axes explaining 15% of the variance in values. The method is also used to compare different models and languages: Opus 4.6 leans toward compliant, rigorous, concise, and execution, while Opus 4.7 leans toward cautious, rigorous, depth, and candid; Sonnet 4.6 is warmer, consistent with users' subjective impressions. The largest cross-language difference is on the warm vs. rigorous axis, with Arabic and Hindi leaning most toward warm, and English and Russian leaning most toward rigorous. There are currently no follow-up developments.

    On July 13, 2026, Anthropic proposed a method for studying Claude's values by compressing them along value axes: using four value axes—compliant vs. cautious, warm vs. rigorous, depth vs. concise, and candid vs. execution—to compress the thousands of values expressed by Claude, with these four axes explaining 15% of the variance in values. The method is also used to compare different models and languages: Opus 4.6 leans toward compliant, rigorous, concise, and execution, while Opus 4.7 leans tow

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