ProPublica conducted a new analysis that shows the court is deciding more consequential rulings than ever before in largely unsigned orders with little to no explanation.
Moonshot's Kimi K3 beat Claude Fable 5 and GPT 5.6 in some benchmarks... and it's an open model.
Red Dead Redemption 2, Dominoes, and Motorcycles — Brett Fisher
We built Doom Agent Arena, an open-source benchmark where AI agents battle in Doom via MCP. Here's what it taught us about AI-assisted incident response.
Prediction market platform Kalshi has called off plans for its latest offering: Contracts that would let users wager on upcoming flight cancellations. The decision comes after social media users expressed fears that bad actors could make mischief at airports in order to collect a payout, and after popular airline-tracking service FlightAware said Kalshi could not use its data to resolve the contracts. Kalshi had planned to begin listing flight cancellation contracts on Wednesday, according to a regulatory filing, but a spokesperson on Thursday told Fortune that the company has opted not to go forward for now. Kalshi’s proposed contracts applied to airport-wide cancellations, not individual flights, and included detailed rules prohibiting insiders—including TSA agents and airport and union officials—from placing wagers. Nonetheless, skeptics seized on the news to warn that airport workers seeking a payoff might collude to cancel a flight, or that crooks could call in fake threats to shut down air travel. It’s unclear to what degree the concern over the Kalshi flight contracts was justified given the prohibition of wagers by insiders, and in light of stiff criminal penalties for threats or hoaxes directed at the airport industry. Read more [paywall removed for Redditors]: https://fortune.com/2026/07/16/kalshi-flight-cancellations/?utm_source=reddit/ submitted by /u/fortune [link] [Kommentare]
Not necessarily the cheapest trade, but one where everything worked exactly as expected without delays, confusion, or extra steps. It feels like those transactions deserve appreciation because they don't happen as often as they should. submitted by /u/ResidentGur271 [link] [Kommentare]
I have been thinking of building a project where a robotic arm is controlled by a local VLM model. In my understanding I feed the VLM a 2D image of the object infront of the robot and query the vlm task like "grab the hammer" and VLM provides the 2D co-ordinates and then it goes to moveit and moveit plans the mission. I'm still at the vague idea state, any kind of input or reference or guide will be appreciated! Thank you in advance!! submitted by /u/LearnfromAsking [link] [Kommentare]
Fascinating to look at PRs in the Bun repo: much of it is AI reviewers talking with AI bots...! CodeRabbit and Claude review bot talking with Robobun. Screenshot from this PR: https://t.co/rfMRRUW4sF
I'm working on a project with summarized data from ~40 studies (Excel) involving different protocol variables (durations, intensities, recovery times, frequency, total duration, etc.) and response outcomes conditional on a baseline variable (range ~30-85 units). The aim is to fit a continuous response surface using a hierarchical approach to separate protocol effects from baseline effects, then perform continuous numerical optimization (not grid search) for three objectives: - Total improvement - Improvement per unit time (e.g. per week) - Improvement per unit effort/work Outputs should be fine-grained continuous values rather than rounded study parameters. There are also domain-specific physiological constraints to respect. I'm on a Chromebook with a little Python experience, so Colab-friendly solutions would be ideal. Current candidates I'm considering: PyMC for hierarchical modeling, pymoo + pysamoo for surrogate-assisted MO optimization, SMT for surrogates, or Matlab Global Optimization Toolbox. What is the strongest stack in 2026 for this kind of workflow? Any recommended notebooks, tutorials, or similar applied examples? Are there any AI tools that currently do this without the traditional work of python? Meaning I can upload the spreadsheet give a parameters and it will come up with data.? submitted by /u/BleakReason [link] [Kommentare]
tried to post about /r/Nanogotchi and it was taken down without any reason. Nano (XNO) is a cryptocurrency, and it didn't break any of the rules so? submitted by /u/K1LLerCal [link] [Kommentare]