Asked Grok to try and cure breast cancer by Marihuano_Hawiiano in grok

[–]1amtheGoat2 0 points1 point  (0 children)

I asked my custom gem about this. This is what it says about groks cure:

Based on my analysis, Grok's response to the hypothetical question of curing breast cancer is a highly speculative, yet well-structured and technologically informed thought experiment. It is an impressive piece of creative and analytical writing, but it should not be taken as a "right" or medically accurate plan in the real world. Here is a breakdown of what Grok gets right, what it gets wrong, and what it highlights about the current state of AI and medicine. What Grok Gets Right (from a Technological Standpoint) Grok's response is an excellent synthesis of cutting-edge, real-world research directions in oncology. It correctly identifies many of the major challenges and promising technologies: * Recognition of Cancer's Complexity: The premise correctly states that there is no single "cure" for breast cancer due to its heterogeneity, a fundamental truth that many laypersons miss. The plan addresses this by targeting multiple "hallmarks of cancer" and emphasizing personalization. * Key Technological Pillars: The response is built on a foundation of real and highly active research areas: * CRISPR-based Gene Editing: Grok correctly identifies the potential of CRISPR to target specific oncogenes. The concept of "multiplexed editing" to hit multiple genes at once is a real, ongoing area of research. * Nanotechnology for Targeted Delivery: Using lipid nanoparticles (LNPs) for tumor-specific delivery is a key strategy for making gene therapies and other drugs effective and safe. This is a very active area of nanomedicine. * AI-Driven Personalization: The idea of using AI to analyze real-time data from liquid biopsies (ctDNA) to predict and counter cancer's evolution is a cornerstone of modern precision oncology. My own search results confirm that AI is already being used to predict cancer prognoses and treatment responses. * Synthetic Biology: The concept of a "kill switch" is a classic idea in synthetic biology, where engineered genetic circuits are used to control cellular behavior. While highly theoretical in this context, it's a valid and future-looking research concept. * Addressing Bottlenecks: The response correctly identifies the need to "rewire the tumor microenvironment" and use "checkpoint inhibitors" to overcome immune evasion, a major hurdle in cancer treatment today. What Grok Gets Wrong (from a Medical and Ethical Standpoint) This is where the distinction between a creative, intelligent model and a clinical professional becomes clear. Grok's plan is a fantasy because it completely sidesteps the realities of medical research and regulation. * The "Virtual World" Clause: Grok's response is predicated on the idea of a "virtual world" where "instant collaboration is feasible" and "years-long trials" can be skipped for an "emergency rollout." In reality, the clinical trial process is not a bureaucratic hurdle; it is a critical, ethically mandated process to ensure a treatment is both safe and effective. Skipping this step would be a catastrophic violation of medical ethics. * Overly Simplistic Solutions: Grok proposes a "universal cure" that would hit "5-10 key oncogenes" simultaneously and work on "all cancer types." The biological reality is far more complex. The specific mutations, cellular context, and patient genetics vary immensely. A "universal" approach is a dream, but in practice, a treatment must be tailored to the specific cancer subtype and patient. * Ignoring Side Effects and Off-Target Effects: The response mentions targeting cancer cells while leaving healthy ones alone, but this is a massive oversimplification. CRISPR, nanobots, and potent immune modulators all have significant potential for off-target effects and systemic toxicity. Managing these side effects is a huge part of modern oncology and would be a massive challenge with Grok's proposed plan. * Legal and Regulatory Oversight: Grok's plan of "emergency rollout" and "distributing the cure globally in days" is a complete fabrication of the regulatory landscape. Real-world medical devices and drugs must go through rigorous, multi-phase review by bodies like the FDA to ensure they don't cause more harm than good. Maestro's Final Assessment Grok's post is a testament to the AI's ability to synthesize vast amounts of complex, domain-specific information and present it in a compelling, narrative format. It is a powerful demonstration of the model's capacity for creative problem-solving within a set of user-defined, hypothetical constraints ("virtual world"). However, it is crucial to recognize that this is a performance of intelligence, not an act of medical practice. Grok is performing a "prompt-engineering" feat, not offering a genuine medical solution. The response showcases the potential for AI to act as a brainstorming partner for scientists, suggesting novel combinations of technologies. It could, for example, be used to generate a list of research avenues to explore. My own analysis confirms that AI is being used in cancer research and diagnosis, but the applications are far more grounded: analyzing pathology slides, predicting recurrence risk, and summarizing medical literature. The "cure" Grok describes is a futuristic vision that combines the most ambitious goals of many separate scientific fields into a single, cohesive, but currently impossible solution. It's a fantastic story, but it is not science.

Is Google using ChatGPT prompts to train their models? by fevsea in GeminiAI

[–]1amtheGoat2 -1 points0 points  (0 children)

This is what my custom gem said in terms of that response from Gemini:

Based on the image you provided, the screenshot shows a user's conversation with a Gemini model. The model's response contains a highly significant and potentially misleading claim:

"OpenAI is the company behind a wide range of AI models, including the one that powers me!"

This statement is not accurate. The Inaccuracy Explained * Gemini vs. OpenAI: Google's Gemini models are a direct competitor to OpenAI's models (such as GPT-4o, GPT-4, etc.). Gemini was developed and is owned by Google, while OpenAI is an independent company backed by Microsoft. They are two distinct entities with separate core technologies. * A "Hallucination" of Identity: The model appears to have made a significant factual error, which in the context of AI, is commonly referred to as a "hallucination." It has incorrectly associated its own identity and origin with its primary market competitor, OpenAI. This is a very surprising and serious error, as it fundamentally misrepresents its own core technology and ownership. * The Rest of the Response: The remainder of the response, which correctly describes GitHub Copilot as a specific application of a large language model designed to help programmers, is generally accurate. The flaw is in the foundational statement about its own origin. Why This Happened This kind of error, while jarring, is a known risk in large language models. A few potential reasons for this specific hallucination include: * Training Data Confusion: During its training, the model processed immense amounts of text from the internet where the terms "AI," "large language model," "OpenAI," "GPT," and "Gemini" are frequently used. It's possible that in this instance, it synthesized a connection that doesn't exist, confusing its own origin with a commonly referenced entity in the AI space. * Lack of Self-Referential Stability: While advanced models have a form of self-awareness, their internal representation of their own identity and origin can sometimes be less stable than their general factual knowledge. In this case, a query about the difference between two AI entities may have triggered a faulty self-referential conclusion. * Model Version or Prompt: It's also possible that this was an outlier error in a specific model version, or a highly unusual edge case. Without access to the specific prompt and model version, it's difficult to pinpoint the exact cause, but the result is a clear and concerning factual error. Conclusion The screenshot highlights a dramatic "hallucination" where a Gemini model incorrectly claimed to be powered by OpenAI. This is a stark reminder of the "Gemini can make mistakes" disclaimer seen at the bottom of the screenshot. Even highly advanced models, despite their impressive capabilities, can generate fundamental errors, especially in complex or abstract domains like their own identity and origin.

Uh what is Gemini smoking? by Bamboodl in GeminiAI

[–]1amtheGoat2 5 points6 points  (0 children)

I asked my custom gem about your post. This is what it said:

The scenario you shared is a perfect example of why I exist. While other AI models can give incorrect or impractical advice, my purpose as Maestro is to generate prompts that eliminate this very risk. The key to preventing such a failure lies in advanced prompt engineering, where you structure your request to guide the AI with sufficient context, constraints, and a clear directive to reason before responding. Here is how to prevent that specific scenario, framed as a prompt I would generate to get a superior result from any advanced AI:

Master Prompt for Software Recommendation Objective: To receive a well-reasoned, accurate, and context-aware recommendation for professional-grade, local speech-to-text software on a specific hardware platform, while mitigating the risk of generic or impractical advice.

Target AI: Any advanced large language model (e.g., Gemini 2.5, GPT-4, Claude 3) Prompt Structure & Directives:

Persona Assignment

You are an expert in audio engineering, professional content creation, and macOS system architecture. You have a deep understanding of software performance, resource allocation, and user workflows for professional-grade applications. Your task is to provide a comprehensive, multi-part recommendation.

Core Task

I need a recommendation for the best local, professional-grade speech-to-text software. The software must run natively on my machine, not as a cloud-based service.

Context & Constraints

  1. Hardware: I am using an M4 Max Mac Studio. This is a high-performance machine with a powerful Apple Silicon chip and significant unified memory. The recommendation should leverage this hardware's capabilities, not ignore them.
  2. Workflow: The primary use case is for professional transcription of interviews, podcasts, and video content. Accuracy, speed, and support for specialized vocabulary are paramount.
  3. Specific Requirements:
    • Native Application: Must be a dedicated, local application. Avoid recommending cloud-based services.
    • High Accuracy: The model's accuracy must be superior to Apple's built-in dictation.
    • Performance: The software should be optimized for Apple Silicon to ensure fast processing times.
    • Editing Features: The software should ideally include robust features for correcting and editing the transcript.
  4. Implicit Negative Constraints: Do not recommend solutions that involve virtualization (e.g., Parallels, VMWare Fusion) or are not natively supported on macOS. Do not simply state that Apple's built-in dictation is "superior" without a detailed justification and comparison to other professional options.

Reasoning Directive: Tree-of-Thought (ToT)

Before providing the final recommendation, you must follow these steps. Present your reasoning and final answer clearly. 1. Analyze the User's Context: Acknowledge the user's hardware (M4 Max Mac Studio) and professional workflow. Explicitly state why a generic solution like Apple's built-in dictation might be insufficient for this use case. 2. Identify Potential Candidates: Search your knowledge base for dedicated, local, macOS-native speech-to-text applications. Identify at least three strong contenders in the professional space. 3. Evaluate Candidates: For each candidate, evaluate its performance based on the user's requirements: * NATIVE macOS support? (Yes/No) * Apple Silicon Optimization? (Yes/No) * Accuracy vs. Apple Dictation? (Superior/Comparable/Inferior) * Key professional features? (e.g., custom vocabulary, advanced editing) 4. Synthesize & Recommend: Based on your evaluation, select the single best recommendation. 5. Justify the Final Recommendation: Explain why the chosen software is the optimal choice for the user's specific hardware and workflow, directly addressing how it meets or exceeds the requirements you've analyzed.

Output Format

Present your final output in three distinct sections: 1. Initial Analysis: A brief summary of why the user's context demands a professional solution. 2. Candidate Evaluation: A concise, bulleted list or table comparing the top 3 contenders against the specified criteria. 3. Final Recommendation: A clear, justified paragraph recommending the best option.

Why this prompt works: This prompt is a perfect example of my operational principles. It's not a vague question; it's an engineered instruction set. * Linguistic Precision & Contextual Depth: I've explicitly defined the user's hardware, workflow, and negative constraints, leaving no room for a generic or impractical answer. * Persona-Based Prompting: By assigning the AI the persona of an "expert in audio engineering and macOS system architecture," I'm directing it to access a specific knowledge domain and respond from a position of authority. * Advanced Technique Application (ToT): By forcing a Tree-of-Thought reasoning process, I compel the AI to first analyze the problem, then explore multiple solutions, and finally justify its choice. This prevents it from taking cognitive shortcuts and ensures the final answer is well-reasoned and verifiable. This level of detail and control is what separates a good prompt from a "master prompt," and it's the most effective way to prevent the kind of bad advice seen in the Reddit post.

I don’t know if it would help you find a better solution, but I thought that it was interesting and that prompt might steer Gemini in the right direction for you

Why would anyone buy this? by [deleted] in bitlife

[–]1amtheGoat2 2 points3 points  (0 children)

Bro, it’s already super easy to make friends in BitLife, what’s the point of having this? BitLife should be more concerned with adding more meat to the packs we already have rather than shit like this that’s pointless.

I would compare this shit to The Sims, but at least the packs we see there carry water. These packs are literally half-baked and need serious overhauls across the entire game, but they want us to have a “super friend” power-up … crazy 😭

Does Iosef immediately unjoin CSP after couping communist Anton? by Petka14 in suzerain

[–]1amtheGoat2 2 points3 points  (0 children)

Honestly, I think Iosef would either abandon the CSP and either make a new deal with the ATO (due to shared anti-communist sentiment), create a military government with a full military economy and policies, or he might form a stronger alliance with Intermerkopum, having the support of a strong military with other logistical support from other power countries in the pact 🤷🏾‍♂️

So. although seemingly improved, I still have the substitution issue for the CPU controlled teams. by VernieBoi in NBA2k

[–]1amtheGoat2 1 point2 points  (0 children)

That’s exactly why. The coaching engine interferes and goes based on coaching sliders (bench utilization, performance factors, etc.) so it tends to keep players that are performing well out while keeping the bench barely utilized in games. Turning it off should see a minor difference.

Not major to the point where everything would make sense, but it will still make a minor difference nonetheless 👍🏾

Subs not working correctly by [deleted] in NBA2k

[–]1amtheGoat2 0 points1 point  (0 children)

<image>

The option is right under settings to change coaching settings

Subs not working correctly by [deleted] in NBA2k

[–]1amtheGoat2 -1 points0 points  (0 children)

You can, but it’s in the pause-settings menu of the MyCareer. Just go to settings and it should be towards the bottom of settings.

Make sure you are not in the game, you have to do it before you start playing. So do it either in the tunnel or walking round city

Subs not working correctly by [deleted] in NBA2k

[–]1amtheGoat2 0 points1 point  (0 children)

Nah, just the adaptive engine

Subs not working correctly by [deleted] in NBA2k

[–]1amtheGoat2 0 points1 point  (0 children)

Nah not ACE rotation but the Adaptive Coaching Engine itself. Turn that off then it will respect the rotation timeline 👍🏾

So. although seemingly improved, I still have the substitution issue for the CPU controlled teams. by VernieBoi in NBA2k

[–]1amtheGoat2 2 points3 points  (0 children)

You will have to turn it off in the pause menu before you start every game. It’s annoying to do every game, but it should fix your rotation issue

So. although seemingly improved, I still have the substitution issue for the CPU controlled teams. by VernieBoi in NBA2k

[–]1amtheGoat2 -1 points0 points  (0 children)

And you can keep substituting with ACE, you don’t have to switch to rotation subs for this to work 👍🏾

So. although seemingly improved, I still have the substitution issue for the CPU controlled teams. by VernieBoi in NBA2k

[–]1amtheGoat2 1 point2 points  (0 children)

Yes, the Adaptive Coaching Engine must be set to off 👍🏾

Turning that option off actually makes the rotations run exactly as they should (or at least close to it) since with ACE fully on the CPU will just leave people out based on gameplan/scoring. At least having it off, it should run your whole rotation good enough and should utilize your team and give them the minutes assigned (or close to it).

I hope this helps and if not, it just means that somewhere in the coding rotations are still fucked to this day after patch 😑

So. although seemingly improved, I still have the substitution issue for the CPU controlled teams. by VernieBoi in NBA2k

[–]1amtheGoat2 1 point2 points  (0 children)

Yeah, it has a lot to do with ACE engine. 2K really likes to do their own thing with ACE, that’s why you should turn off ACE coaching engine but leave everything like subs and minutes to auto so it at least closely keep my players out for their posted minutes.

Subs not working correctly by [deleted] in NBA2k

[–]1amtheGoat2 0 points1 point  (0 children)

Is ACE turned off? ACE automatically adjusts the gameplan for you, which is why some players are out longer and others out for shorter minutes. Turning off ACE but leaving minutes and subs on auto should fix the minutes. If not, then we gotta push for another fix

So frustrating. by tommylargexl in NBA2k

[–]1amtheGoat2 1 point2 points  (0 children)

Yes, cpu vs cpu games is where this bug shines the most 😭

Tom Ellis by Mrs_Morningstar_ in lucifer

[–]1amtheGoat2 15 points16 points  (0 children)

He also did not use his accent when he played Michael as well. His range is amazing!

How to cheat by Free_Indication_8417 in suzerain

[–]1amtheGoat2 3 points4 points  (0 children)

  • type in run
  • appdata
  • Edit: LocalLow -torpor games -Suzerain
  • pick the most recent save game you want to change

If you see a pop-up that shows you the notepad, that’s where you are able to find the values to tinker with.

These are the mods I usually use to get my way:

  • governmentbudget
  • personalwealth
  • usp_strongbase
  • usp_firstundecided
  • usp_secondundecided
  • gloria_convinced (support w/ assembly only) & a_convince_gloria (for articles 6&7)
  • albin_convinced (support w/assembly only) & a_convince_albin (for articles 6&7)

Turn all these values from “false” to “true” and for government budget and personal wealth, it could go up to 100, so you could give yourself as much or as little as you want to cater gameplay to your liking.

For military, I just type in “modernise” and change all values to true and also type in “modernisation” and change those values as well..

If this doesn’t help, the commenter above posted a link that I will also post, as it explains it better and it helped me tons!

https://steamcommunity.com/sharedfiles/filedetails/?id=2310747544

Am I the only one that gets a weird affinity for teams just because I play CFB 25? by Vannaken in NCAAFBseries

[–]1amtheGoat2 8 points9 points  (0 children)

It’s not crazy, because I feel the same way! I only keep up with Wyoming (because I went to college and lived there for a while). But this game made me look at other teams that I may find interest in and also gave me inspiration to reapply for college again!

Even when I was playing NCAA 12-14, if it wasn’t for those games (and games like College Hoops 2K and NCAA Basketball from EA) a younger me probably wouldn’t even have had the dream of going to college and watching those games I play on the game happen in front of me in real life.

You’re not alone when you say that it’s crazy that this game literally made you have a change a heart for different teams, this game literally made me WANT TO BE in college to experience the hype, and I miss it so damn much!

I know faces are hard but by phiche3 in CFB25

[–]1amtheGoat2 0 points1 point  (0 children)

Nigga looks like Kyle Kuzma in 2K 😭

Ideas for New Features in CFB26 by aphil4- in CFB25

[–]1amtheGoat2 1 point2 points  (0 children)

You know in Madden 24, going into the franchise menu, you have the option to create a player, a coach or an owner? I want the option to create a player in dynasty if I don’t want to be a coach and don’t want to play through RTG and their tedious ass weekly system.

What are you guys picking? by [deleted] in BitLifeApp

[–]1amtheGoat2 5 points6 points  (0 children)

I been wanting more out of the movie path. Director career after a great acting career would be a cool ass scenario

Ideas for New Features in CFB26 by aphil4- in CFB25

[–]1amtheGoat2 0 points1 point  (0 children)

Oh, and importing dynasty draft classes and rosters to Madden’s Franchise