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Artificial Analysis: What a Model Benchmark Has to Measure

…had become relatively trivial. Priorities shifted toward coding agents, comparable workflows in other professions and reliable reasoning over long contexts. An evaluator recalls running DeepSeek-V3 tests on Boxing Day in New Zealand in…

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Axiom’s Bet: Make Reasoning Checkable, Then Scale It

…problems without formal verification. - Regulated enterprise agents may justify verification. Adoption would depend on latency, accuracy, and overall performance making it practical. Axiom’s objection to scaling purely informal mathematics …

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Bee: Building an Ambient Agent That Remembers and Acts

…model. The closing experiments extend memory across people. Two agents reportedly used their users’ shared preference for French food and their presence in Pacific Heights to suggest a restaurant neither had visited. The participants say…

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Benchmarks 101: What a Model’s Score Actually Tells You

…lower cost and latency. The other keeps large models and gives agents more time when they can save substantial human effort. These are proposed directions for development, not measured outcomes. The second strategy has a concrete desired…

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Benchmarks, Self-RAG, and Step-by-Step Verification — Part 3 of 5

…opening exchange identifies two complementary routes to better agents: - Improve the language model: scaling the underlying large language model, or LLM, is expected to improve agent performance. - Improve the surrounding system: give the…

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Beyond AlphaFold: Boltz’s Path from Structure Prediction to Molecular Design

…to test. The protein and small-molecule workflows are called agents: automated recipes that coordinate multiple models and pipeline stages. Their role is to carry out the complex sequence of preparation, generation and evaluation needed for…

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Beyond the Prompt Box: Building Notion AI’s Interfaces

…raises a choice between open-ended assistants and task-specific agents, with specialists potentially adding the burden of remembering which agent to trust for each task. The response connects trust and control. An unwanted result may…

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Building AGI in Real Time — Part 2 of 3

…to that increasingly overloaded label: chatbots, reasoners, agents, innovators and organizations. He places o1 at the reasoner level and predicts that adding agent capabilities will make systems feel substantially more capable in the near…

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Building AGI in Real Time: OpenAI DevDay 2024 — Part 1 of 3

…access also allowed use through Cursor and software-engineering agents such as Cognition’s Devin. An interviewer questions whether a beginner would know how to set up Xcode or where to paste the files. Huet’s explanation of o1’s value…

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Building Jules for Work That Outlasts the Prompt

…through that second possibility, experimenting with coding agents before joining Google Labs and Jules, an agent designed to do coding work in its own computing environment. His attachment to programming began in New York’s hackathon scene,…

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ChatGPT Work: Bringing the Coding Agent to Knowledge Work

…to people who already use ChatGPT but have not discovered what agents can do. An unexpected internal audience helped motivate Work. In user research, Akshay encountered strategic finance and marketing staff using Codex and taking pride in…

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Cline’s bet: give the model context, keep the developer in control

…Pash described a broader ambition: a modular foundation for agents beyond coding, with a command-line interface (CLI) and software development kit (SDK) planned. Cline’s origins trace back to June 2024 and a Build with Claude hackathon. A…

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