May 2026

Release: datasette-agent 0.1a3 “View SQL query” buttons for both visible tables and collapsed SQL result tool calls. Don’t display empty reasoning chunks Improved handling of truncated responses – table still displays to the user even if the SQL results were truncated when showing the agent. See Datasette Agent, an extensible AI assistant for Datasette. Tags: datasette, datasette-agent

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The research community has provided (already for some time) seemingly more efficient and effective tokenizations for vision. Do we have any hint on whether non-fixed-patches tokenization is being applied on the big player models? I imagine not, and I’m trying to think why: – marginal gains? – pipelines needing a fixed number of tokens per image upfront for efficiency reasons (or even harder limitations)? – scaling laws are not well understood for input-adaptive patching therefore big players do […]

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With this latest expansion, Claude Managed Agents are moving way beyond simple conversation bots. Enterprises want agents that can write code, automate workflows, access their internal tools, and handle all sorts of operational tasks without putting sensitive infrastructure at risk. Instead of forcing organizations to run everything in someone else’s cloud, Anthropic lets them keep execution environments in their own controlled systems, while Claude manages all the orchestration and reasoning. What the Claude Managed Agents Update Means for […]

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Artificial intelligence has jumped into one of academia’s toughest areas with a claim that could change how people think about mathematical discovery. OpenAI recently announced that one of its reasoning-focused AI models produced a proof that seems to disprove a long-standing conjecture in discrete geometry which is a branch of math about arranging points, lines, and shapes. This centers on the unit distance problem, originally posed by Hungarian mathematician Paul Erdős in 1946. For nearly 80 years, mathematicians […]

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Synthetic aperture radar (SAR) target images are highly sensitive to aspect angle, while practical data acquisition usually provides only sparse observations over limited viewpoints. This leads to severe data scarcity at unseen aspect angles and makes cross-angle generation prone to scattering-structure distortion and background-statistics mismatch. Existing SAR image generation methods either focus on distribution matching without explicitly modeling target scattering mechanisms, or emphasize angle conditioning while failing to jointly preserve physically plausible scattering-structure evolution and realistic background speckle […]

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I am working on a peg-in-hole robotic assembly thesis with a Doosan M1013, ROS2 & an eye-in-hand RGB-D camera. The upstream perception system gives a coarse hole/block pose from stationary RGB-D cameras. Based on prior measurements/error propagation, the pre-insertion uncertainty may be around 3–5 mm average and up to 7–11 mm worst case, with about 1–2° angular error. I want to train a contact-rich insertion policy using vision + force/torque + proprioception, starting from a pre-insert pose about […]

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In this quiz, you’ll test what you learned in the video course Context Managers and Using Python’s with Statement. By working through this quiz, you’ll revisit how the with statement runs setup and teardown for you, how to use standard-library context managers like open(), and how to write your own context managers as classes or with the @contextmanager decorator. [ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to […]

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Precise step length estimation (SLE) is a key necessity for not only navigation systems design but also gait health monitoring in neurological conditions. Among existing solutions, non-invasive inertial sensor-based approaches operating without dedicated infrastructure are more cost-effective. Many such methods, however, rely on bodily-affixed inertial sensors rather than freely held smartphone sensors. Traditional signal processing approaches, on the other hand, offer varying accuracy across diverse gait patterns due to user parameter calibration. This study, thus, proposes a regression-based […]

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