Unity for Human Beings Jesse Glover © Zenva Pty Ltd 2016. All rights reserved https://zenva.com Zenva Academy – Online courses on game, web and

schools ©2016 Zenva Pty Ltd all rights reserved Page 1 Game Development for Human Beings Build Cross-Platform Games with Phaser Kristen Dyrr Pablo Farias Navarro Renan

Goostman, a chatbot, passes the Turing Test, with 1/3 of judges believing that Eugene is human 6/18: OpenAI releases GPT-1, the first of their large language models 6/20: OpenAI releases vs. 2023 (1 year) AI Development Trending = Unprecedented41 AI Performance = In 2024… Surpassed Human Levels of Accuracy & Realism, per Stanford HAI AI System Performance on MMLU Benchmark Test – 2019-2024 knowledge and problem-solving in large language models. 89.8% is the generally-accepted benchmark for human performance. Stats above show average accuracy of top-performing AI models in each calendar year.

interact directly with those applications and systems through web and application UIs—just as a human would. Each tool should have a standardized definition, enabling flexible, many-to-many relationships messages. Send emails and texts, update a CRM record, hand-off a customer service ticket to a human. Orchestration Agents themselves can serve as tools for other agents—see the Manager Pattern in actions, such as pausing for guardrail checks before executing high-risk functions or escalating to a human if needed. 26 A practical guide to building agents Rules-based protections Simple deterministic measures

model condenses information, using 
 agreed-upon-metrics for accuracy, relevance, and coherence. 03 Human trainers Comparing AI results to responses from expert advisors, grading for accuracy and relevance process huge amounts of data from many sources, it can create customer experiences that feel more human because they’re more relevant and personalized. Indeed, the world’s No. 1 job site, uses GPT-4o find the right jobs—and understanding why a given opportunity is right for them—is a profoundly human outcome. Indeed's team has used AI to help connect more people 
 to jobs, faster—a win for everyone

optimizations "closes loop" between tool and human's goalevolve here's where your code could be more efficient maybe, you figure it out "closes loop" between tool and human's goal profiler that suggests optimizationsevolve optimizationsevolve profiler that suggests optimizations "closes loop" between tool and human's goal here's where your code could be more efficient maybe, you figure it out I figured out where your code "close loop" between tool and human's goalevolve exploit niche "close loop" between tool and human's goal static and dynamic information"close loop" between tool and human's goal static and dynamic

11 • We are human!Why is Testing Important? 12 • We are human! • Making Mistakes: Every human is really, really good at making mistakesWhy is Testing Important? 13 • We are human! • Making Mistakes: Mistakes: Every human is really, really good at making mistakes • Being annoyed when OTHER people make mistakesTestability 14Testability 15 • Unit TestsTestability 16 • Unit Tests • TDDTestability

heart of a murky abyss, lies a dilapidated underwater research facility, standing as a testament to human ambition and its disastrous consequences. Shrouded in darkness, pulsating with the hum of malfunctioning outsmarting cunning aquatic predators, every moment in this uncharted underworld tests the limits of human endurance and courage. Table 10. An example of prompting for self consistency That looks like an interesting Chain of Thought prompting section, the model can be prompted to generate reasoning steps like a human solving a problem. However CoT uses a simple ‘greedy decoding’ strategy, limiting its effectiveness

colors, genders, religious views, talents, etc. Comparison to human language • C++ is a language, So Let’s Compare how we learn our Human Languages. According to the FAQ Section on Language Acquisition Closer to Children Through “Baby Talk” How Does this Map to Learning C++ • We need to bring the human interaction into it. • Through our Communities, Our Work Environments • I believe this to be one of

com/document/d/14E0BYqsH_d7fMKvXvaZWoNWtIC65c YBw0aZp4dlev0Q/edit#heading=h.yt0hxah53p9e Rule decidability • Human review • Generally simple rules • Code snippets • Basic syntax matches intention • Automated tool tools of this generation, may be doable with whole program analysis • Intention is hidden • Both Human and Automated tools • Generally simple cases • Intention is shown in syntax • Neither are good • Very wonder if an [[intention:]] attribute might help Where should parallel/concurrency/hetero rules go? Human decidable Tool decidable Suitable tools in order of preference Easy Easy C++CG, MISRA tools Easy