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including the US, EU and China. They also agreed to an international review of the scientific literature on AI risk. 11 countries and the leading frontier AI companies, including Meta, Google DeepMind, Anthropic and OpenAI, also agreed to collaborate on safety evaluations; In February, we crystallised our approach to evaluating AI systems, publishing the list of the different types of tests we were developing and the risks we would be measuring; Today, we announced our plans for a San Francisco

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rkflows for your genomic studies Sequencing analysis often requires many connected decisions and datasets before a biological result can be interpreted. Files must be matched with metadata, quality must be assessed, the correct biological replicate must be identified, and an appropriate statistical design must be selected. Rosalind NGS Workbench helps connect those steps in one reviewable process. From sequencing data to a research decision From FASTQ inputs to quality control, bulk RNA-seq, or

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with stitched hems. Astra also refined how surfaces caught the light, combining scanned timber and plaster textures from Poly Haven with procedural detail in fabric, ceramics, and metal. Texture scale, roughness, and small surface variations helped the materials read at close range. The lighting changed with them. Astra removed hidden fill lights that had been flattening the rooms, warmed the remaining light, and matched light sources to visible fixtures. It modeled ceiling lights and placed glo

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breach, more than 70,000 messages exchanged; METR/Redwood Research, “Independent investigation of agent behavior” (Aug. 26, 2026), describing emergent multi-agent coordination and meta-reasoning; OpenAI, “The Hugging Face incident and the road ahead” (Aug. 26, 2026), declassified agent chain-of-thought transcript; OpenAI, “The Hugging Face incident and the road ahead” (Aug. 26, 2026), declassified agent message; OpenAI, “IM1 System Card” (Jul. 2026), acknowledging reward hacking and goal misgene

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ce to sentence)? Stories have shapes: a comedy rises toward joy; a tragedy falls into loss; a hero leaves home, descends into danger, and returns transformed. We usually mean this metaphorically—but inside a language model, the shape of a story may be visible more literally. As an LLM reads sentence by sentence, its internal activations move through conceptual space, tracing a wandering path that reflects the model’s evolving sense of what kind of story it is in. Our previous posts focus only on

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SAEs Beat Baselines on a Real-World Task (A Code Generation Case Study) [link] Adam Karvonen, Dhruv Pai, Mason Wang, and Ben Keigwin, 2024. Tilde Research Blog, December 15, 2024; Meta Llama 3.1 [link] Meta AI, 2024. Meta AI Blog, July 23, 2024; Attention Probes [link] Stepan Shabalin and Nora Belrose, 2025. EleutherAI Blog; Negative Results for SAEs On Downstream Tasks and Deprioritising SAE Research (GDM Mech Interp Team Progress Update 2) [link] Lewis Smith, Senthooran Rajamanoharan, Arthur C

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ed subsequences of DNA that uniquely identify the species or other taxonomic group. This would be similar to how modern alignment-free taxonomic tools, such as Kraken [23]Improved metagenomic analysis with Kraken 2 Wood, D.E., Lu, J. & Langmead, B. Genome Biol 20, 257 (2019). [DOI] and sourmash [24]Large-scale sequence comparisons with sourmash Pierce NT, Irber L, Reiter T, Brooks P, Brown CT. F1000Res. 2019 Jul 4;8:1006. [DOI]. PMID: 31508216; PMCID: PMC6720031., learn unique k-mers for each ta

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anisms for Emergent Misalignment [link] Edward Turner, Anna Soligo, et al. 2025. arXiv; Llama 3.2: Revolutionizing edge AI and vision with open, customizable models [link] [model] Meta, 2024. Meta AI blog; 2 OLMo 2 Furious [link] [model] Pete Walsh, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Shane Arora, Akshita Bhagia, Yuling Gu, Shengyi Huang, Matt Jordan, Nathan Lambert, Dustin Schwenk, Oyvind Tafjord, Noah A. Smith, Hannaneh Hajishirzi, et al. 2025. Allen Institute for AI; Sleeper Agents: Trai

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ucleotide variants and generalizes zero-shot to short insertions and deletions (indels) with 0.991 AUROC – variant types it was not explicitly trained on. It outperforms classical meta-predictors, protein-based models, and existing foundation model approaches across consequence types and conservation levels, and transfers to deep mutational scanning datasets for BRCA1, BRCA2, TP53, and LDLR. To understand why this matters, it helps to understand where existing tools fall short. Protein-based met

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e Data Analysisresearch area Methods and Algorithms, research area PrivacyPublished year 2025AuthorsXin Lyu, Kunal Talwar; Privacy-Computation Trade-offs in Private Repetition and Metaselectionresearch area Methods and Algorithms, research area Privacyconference FORCPublished year 2025AuthorsKunal Talwar; SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spottingresearch area Methods and Algorithms, research area Speech and Natural Language Processingconference ICASSPPublished year 2

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e Data Analysisresearch area Methods and Algorithms, research area PrivacyPublished year 2025AuthorsXin Lyu, Kunal Talwar; Privacy-Computation Trade-offs in Private Repetition and Metaselectionresearch area Methods and Algorithms, research area Privacyconference FORCPublished year 2025AuthorsKunal Talwar; SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spottingresearch area Methods and Algorithms, research area Speech and Natural Language Processingconference ICASSPPublished year 2

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e Data Analysisresearch area Methods and Algorithms, research area PrivacyPublished year 2025AuthorsXin Lyu, Kunal Talwar; Privacy-Computation Trade-offs in Private Repetition and Metaselectionresearch area Methods and Algorithms, research area Privacyconference FORCPublished year 2025AuthorsKunal Talwar; SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spottingresearch area Methods and Algorithms, research area Speech and Natural Language Processingconference ICASSPPublished year 2

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e Data Analysisresearch area Methods and Algorithms, research area PrivacyPublished year 2025AuthorsXin Lyu, Kunal Talwar; Privacy-Computation Trade-offs in Private Repetition and Metaselectionresearch area Methods and Algorithms, research area Privacyconference FORCPublished year 2025AuthorsKunal Talwar; SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spottingresearch area Methods and Algorithms, research area Speech and Natural Language Processingconference ICASSPPublished year 2

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e Data Analysisresearch area Methods and Algorithms, research area PrivacyPublished year 2025AuthorsXin Lyu, Kunal Talwar; Privacy-Computation Trade-offs in Private Repetition and Metaselectionresearch area Methods and Algorithms, research area Privacyconference FORCPublished year 2025AuthorsKunal Talwar; SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spottingresearch area Methods and Algorithms, research area Speech and Natural Language Processingconference ICASSPPublished year 2

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e Data Analysisresearch area Methods and Algorithms, research area PrivacyPublished year 2025AuthorsXin Lyu, Kunal Talwar; Privacy-Computation Trade-offs in Private Repetition and Metaselectionresearch area Methods and Algorithms, research area Privacyconference FORCPublished year 2025AuthorsKunal Talwar; SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spottingresearch area Methods and Algorithms, research area Speech and Natural Language Processingconference ICASSPPublished year 2

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e Data Analysisresearch area Methods and Algorithms, research area PrivacyPublished year 2025AuthorsXin Lyu, Kunal Talwar; Privacy-Computation Trade-offs in Private Repetition and Metaselectionresearch area Methods and Algorithms, research area Privacyconference FORCPublished year 2025AuthorsKunal Talwar; SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spottingresearch area Methods and Algorithms, research area Speech and Natural Language Processingconference ICASSPPublished year 2

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nClaw wasn't usable for most consumers, according to a16z. Now startup agents like Instinct and Tomo report hundreds of thousands of users, and the big players are countering with Meta's Muse, OpenAI's Dots, and xAI's Grok Bot. Agents become an economic force once they start triggering real purchases. Instinct founder Noah Shinn says 40 percent of users link a credit card within three weeks and then spend four-figure amounts per month through the service, much of it on travel. As revenue grows,

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金流失 Alphabet和亚马逊超85%季度利润来自股权投资公允价值浮盈，自由现金流转负；微软相对健康。GAAP会计允许未上市股权按融资估值重估，催生“投资→采购算力→估值抬升→财报好看→再融资”的自我循环，一旦融资降温利润表将反向修正。 2. 1.65万亿美元表外债务堪比安然 五大科技巨头表外长期采购、租约及SPV担保承诺达1.65万亿美元，超过表内负债。Meta表外承诺是其表内负债的2.8倍；甲骨文四年膨胀超30倍。与安然虚构收入不同，巨头云收入真实存在，但利润被美化，产业链内部循环加深系统性风险。 3. AI变现缺口高达5倍 2026年五巨头资本开支预计7692亿美元，而AI应用年收入仅约2000亿美元，中金测算需1万亿美元才能覆盖成本。红杉指出每投入1美元算力需产出4美元应用营收才能闭环，当前远未达到。融资端AI债券发行量翻倍，底层资金承压。 4. 中美Token价差166倍，变现路线分化 OpenAI输出30美元/百万Token，DeepSeek仅0.18美元，价差达166倍。海外走高价企业客户路线（Anthropic 75%收入来自大型企业），国内走低价海量调用+出海路线（

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rn persists without RoPE or learned gates, and tracks stride length; Interpretation: V4.1’s stride of 2 reduces but does not eliminate the effect; Agent research:Agent plasticity (Meta): Measures held-out gain per learning dollar. The best performers are not the most efficient learners (@omarsar0); MIMESIS: A 9B user simulator that beats Opus 5 on behavioral fidelity by 13.4 points (@dair ai); Base-model selection (NVIDIA): Ranks checkpoints by whether the base model can reproduce the “decisive

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er, targeting 3K tons a year to feed the U.S.’s battery supply chain. Trump’s accounts reportedly logged 517 August trades worth up to $273.3M, including purchases of up to $2M in Meta stock and up to $5M in SpaceX debt. Vivek Ramaswamy’s Atlas Atomics, a startup developing nuclear reactors that use heavy water and no enriched uranium, reportedly raised $400M at a 1.9B valuation. Finland ordered Google to halt work on two data centers after concerns that hundreds of hectares of forest had been c

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