This paper explores a new black-box, zero-shot language model inversion problem and proposes an innovative framework for prompt reconstruction using only text outputs from a language model. Leveraging a large language model alongside an optimization algorithm, the proposed method effectively recovers prompts with minimal resources. Experimental results on several datasets derived from public sources indicate that the proposed approach achieves high-quality prompt recovery and generates prompts more similar to the originals than current state-of-the-art methods. Additionally, the use-case study demonstrates the method's strong potential for generating high-quality text data.

This paper will examine what makes a being intelligent, whether that be a biological being or an artificial silicon being on a computer. Special attention will be paid to the being having the ability to characterize and control a collective system of many identical conservative sub-systems conservatively interacting. The essence of intelligence will be found to be the golden rule -- "the collective acts as one" or "knowing the global consequences of local actions". The flow of the collective is a small set of twinkling textures, that are governed by a puppeteer who is pulling a small number of strings according to a geodesic motion of least action, determined by the symmetries. Controlling collective conservative systems is difficult and has historically been done by adding significant viscosity to the system to stabilize the desirable meta stable equilibriums of maximum performance, but it degrades or destroys them in the process. There is an alternative. Once the optimum twinkling textures of the meta stable equilibriums are identified, the collective system can be moved to the optimum twinkling textures, then quickly vibrated according to the textures so that the collective system remains at the meta stable equilibrium. Well educated intelligence knows the global consequences of its local actions so that it will not take short term actions that will lead to poor long term outcomes. In contrast, trained intelligence or trained stupidity will optimize its short term actions, leading to poor long term outcomes. Well educated intelligence is inherently good, but trained stupidity is inherently evil and should be feared. Particular attention is paid to the control and optimization of economic and social collectives. These new results are also applicable to physical collectives such as fields, fluids and plasmas.

Theatrical improvisation (impro or improv) is a demanding form of live, collaborative performance. Improv is a humorous and playful artform built on an open-ended narrative structure which simultaneously celebrates effort and failure. It is thus an ideal test bed for the development and deployment of interactive artificial intelligence (AI)-based conversational agents, or artificial improvisors. This case study introduces an improv show experiment featuring human actors and artificial improvisors. We have previously developed a deep-learning-based artificial improvisor, trained on movie subtitles, that can generate plausible, context-based, lines of dialogue suitable for theatre (Mathewson and Mirowski 2017). In this work, we have employed it to control what a subset of human actors say during an improv performance. We also give human-generated lines to a different subset of performers. All lines are provided to actors with headphones and all performers are wearing headphones. This paper describes a Turing test, or imitation game, taking place in a theatre, with both the audience members and the performers left to guess who is a human and who is a machine. In order to test scientific hypotheses about the perception of humans versus machines we collect anonymous feedback from volunteer performers and audience members. Our results suggest that rehearsal increases proficiency and possibility to control events in the performance. That said, consistency with real world experience is limited by the interface and the mechanisms used to perform the show. We also show that human-generated lines are shorter, more positive, and have less difficult words with more grammar and spelling mistakes than the artificial improvisor generated lines.

The original Ghost in the Shell (GitS) movie was practically compulsory material in the hacker subculture of the late 90s, early 2000s. The original touched on themes that all geeks can appreciate, including robotics, sentient AI, human augmentation, active ("thermal-optic") camouflage, transferring human consciousness to a machine, and more. The main protagonist was a hacker called the Puppet Master, and the idea of hacking technically augmented humans was ahead its time (the Internet of Things wasn't even a "thing" then). This is probably why GitS imagery and themes have been iconic in hacker culture (like this GitS-ish t-shirt). As a fan of the complete Ghost in the Shell franchise (manga, TV shows, sequels), I was excited for the live-action remake of the movie, despite my wariness for "reboots" in general.

Spoilers ahead for the Ghost in the Shell anime and US remake. The original Ghost in the Shell anime feature is a cultural landmark. It was a neo-noir story set in a startlingly fresh vision of a connected world, and it was particularly timely in 1995 since the internet was just finding its legs in the real world. The film's lead was a badass cyborg woman privy to bouts of existentialism. And, like the best cyberpunk science fiction, Ghost in the Shell (and its original manga) asked deep questions about our relationship with technology.

The Major's journey to define her own humanity is one of the main thrusts of the movie's narrative. Back in 1995, Mamoru Oshii and his team took on the task of adapting Masamune Shirow's very successful manga Ghost in the Shell into an anime movie. The result was a film that not only captivated the likes of James Cameron but also inspired much of the Matrix trilogy. Well, now it's back on Blu-ray but this release is a bit of a mixed bag. The premise of the movie has the cyber security agency Section 9 try and track down a notorious hacker called the Puppet Master.

A typical ARG consists of a Puppet Master who issues that have historically prevented ARGs from designs the game and informs players of the unfolding of mainstream adoption. A generic game engine runs on a the story. With the advent of smart-phones with GPS, geo-location enabled mobile device enables users to play ARGs progressively make use of the actual world as the any game modeled as a dependency graph of game content.