Game: ztuu Location: Cultural Complex This imposing ante-room, the center of what was apparently the cultural center of the GUE, is adorned in the ghastly style of the GUE's "Grotesque Period." With leering gargoyles, cartoonish friezes depicting long-forgotten scenes of GUE history, and primitive statuary of pointy-headed personages unknown (perhaps very, very distant progenitors of the Flatheads), the place would have been best left undiscovered. North of here, a large hallway passes under the roughly hewn inscription "Convention Center." To the east, under a fifty-story triumphal arch, a passageway the size of a large city boulevard opens into the Royal Theater. A relatively small and unobtrusive sign (perhaps ten feet high) stands nearby.

We present a novel high-level planning framework that leverages vision-language models (VLMs) to improve autonomous navigation in unknown indoor environments with many dead ends. Traditional exploration methods often take inefficient routes due to limited global reasoning and reliance on local heuristics. In contrast, our approach enables a VLM to reason directly about occupancy maps in a zero-shot manner, selecting subgoals that are likely to yield more efficient paths. At each planning step, we convert a 3D occupancy grid into a partial 2D map of the environment, and generate candidate subgoals. Each subgoal is then evaluated and ranked against other candidates by the model. We integrate this planning scheme into DYNUS \cite{kondo2025dynus}, a state-of-the-art trajectory planner, and demonstrate improved navigation efficiency in simulation. The VLM infers structural patterns (e.g., rooms, corridors) from incomplete maps and balances the need to make progress toward a goal against the risk of entering unknown space. This reduces common greedy failures (e.g., detouring into small rooms) and achieves about 10\% shorter paths on average.

Game: ztuu Location: Cultural Complex This imposing ante-room, the center of what was apparently the cultural center of the GUE, is adorned in the ghastly style of the GUE's "Grotesque Period." With leering gargoyles, cartoonish friezes depicting long-forgotten scenes of GUE history, and primitive statuary of pointy-headed personages unknown (perhaps very, very distant progenitors of the Flatheads), the place would have been best left undiscovered. North of here, a large hallway passes under the roughly hewn inscription "Convention Center." To the east, under a fifty-story triumphal arch, a passageway the size of a large city boulevard opens into the Royal Theater. A relatively small and unobtrusive sign (perhaps ten feet high) stands nearby.

Ukraine has destroyed Russian strategic bombers in an unprecedented undercover drone operation while Russia launched its biggest-yet air raid on Ukraine's cities and intensified attacks on its northern region of Sumy, when the two sides met for peace talks in Istanbul. The two respective drone operations were emblematic of how direct peace talks, which began on May 15, have not abated the intensity of the conflict and may have deepened it. Russian President Vladimir Putin has reportedly pledged a response. Russia's drone-and-missile attack on Saturday night involved 472 Shahed kamikaze drones, four cruise missiles and three ballistic missiles. Ukraine neutralised 385 aerial targets, its air force said, including three of the cruise missiles.

In practice, though, the inventory mechanics feel bolted-on at best, meshing awkwardly with Supermassive's long-established formula. Because we're constantly shifting characters, the game doesn't want to disorient us by having to track too many details across too many inventories. Pickups in the environment are primarily keys for use in the immediate vicinity through an extra button press, which is functionally just another way to visualize actions that have traditionally happened automatically in these games. If these new ideas accomplish anything, they suggest something potentially more experimental and fleshed out down the line for Supermassive. As is, they certainly don't ask us to consider which character we're playing or which tools they have for more than a few seconds.

Sepsis claims the lives of nearly 270,000 people in the U.S. each year. The unpredictable medical condition can progress rapidly, leading to a swift drop in blood pressure, tissue damage, multiple organ failure, and death. Prompt interventions by medical professionals save lives, but some sepsis treatments can also contribute to a patient's deterioration, so choosing the optimal therapy can be a difficult task. For instance, in the early hours of severe sepsis, administering too much fluid intravenously can increase a patient's risk of death. To help clinicians avoid remedies that may potentially contribute to a patient's death, researchers at MIT and elsewhere have developed a machine-learning model that could be used to identify treatments that pose a higher risk than other options.

It’s obviously some kind of machine learning, dead-end software, no signs, or a three-point turn in an urban environment, and for some reason …

The residents of a relatively quiet neighborhood in San Francisco are seeing an influx of self-driving visitors. A steady stream of automated Waymo cars has reportedly been flowing into a dead end in the city's Richmond District, disrupting routes for passengers and forcing them to turn the car around themselves, local news outlet KPIX reported. And based on what neighbors are saying, it's not just one or two vehicles coming by. "There are some days where it can be up to 50," nearby resident Jennifer King told KPIX. And we're all working from home, so this is what we hear."

Circuit routing is a fundamental problem in designing electronic systems such as integrated circuits (ICs) and printed circuit boards (PCBs) which form the hardware of electronics and computers. Like finding paths between pairs of locations, circuit routing generates traces of wires to connect contacts or leads of circuit components. It is challenging because finding paths between dense and massive electronic components involves a very large search space. Existing solutions are either manually designed with domain knowledge or tailored to specific design rules, hence, difficult to adapt to new problems or design needs. Therefore, a general routing approach is highly desired. In this paper, we model the circuit routing as a sequential decision-making problem, and solve it by Monte Carlo tree search (MCTS) with deep neural network (DNN) guided rollout. It could be easily extended to routing cases with more routing constraints and optimization goals. Experiments on randomly generated single-layer circuits show the potential to route complex circuits. The proposed approach can solve the problems that benchmark methods such as sequential A* method and Lee's algorithm cannot solve, and can also outperform the vanilla MCTS approach.

To not question things is to agree to stay in the same place. Often during that process, your mind can go to wrong directions. But still, you can learn a lot, during the exploration of uncharted territories of the human potential. Excuse me that I will move away from the main topic for a moment, but first I want to share something. More than 10 years ago I started to learn in a hard way what is the power of continuous effort.