When AI Plays God - Scientists Create The First AI-Designed Viruses That Hunt And Kill Bacteria.
Plus - an elite AI prompt to summon your own personal motivational coach.
Confession: my biggest weakness?
I’m a quitter.
I’ve quit jobs. Friends. Even myself, sometimes.
But with AI, quitting now feels impossible.
It always has another angle. Another draft. Another comeback.
My worst habit finally met its match.
#AI #Resilience #Underdogs
Welcome to the September 24, 2025, issue of Pithy Cyborg. Here are this week’s three most significant AI developments.
When AI Plays God - Scientists Create The First AI-Designed Viruses That Hunt And Kill Bacteria
Scientists at Stanford and the Arc Institute have achieved a biological breakthrough. They utilized AI to design complete virus genomes that actually work in living cells. Out of 302 AI-generated bacteriophage designs, 16 successfully replicated and killed E. coli bacteria in lab tests. The team used an AI model trained on 2 million virus genomes, essentially teaching it to write new genetic code from scratch.
Key Insights:
The computer-designed viruses displayed surprising creativity and featured new gene arrangements and truncated genes that researchers hadn’t expected. While the success rate was only about 5%, experts call this an “impressive first step” toward AI-designed life forms. The research builds on the same AI principles as ChatGPT, but instead of learning from text, it learned from millions of viral DNA sequences.
Why This Matters For You:
This technology has the potential to revolutionize medicine by creating custom viruses to combat antibiotic-resistant bacteria or deliver targeted gene therapy treatments. However, it also raises serious safety concerns about potential misuse. As AI learns to write the code of life itself, we’re entering an era where biological innovation could accelerate dramatically, but so could the risks if these tools fall into the wrong hands.
Read More on MIT Technology Review.
The AI Music Heist - How Suno Allegedly Turned YouTube Into Its Personal Jukebox
Major record labels have caught AI music generators Suno and Udio red-handed, alleging the companies illegally “stream-ripped” millions of copyrighted songs from YouTube to train their AI models. Universal, Warner, and Sony are now seeking $2,500 per piracy act, potentially worth millions in damages. The updated lawsuit follows a 2024 Billboard investigation that exposed how AI companies have been scraping music on a massive scale from the internet.
Key Insights:
The key to the complaint is that stream-ripping breaks YouTube’s encryption protections. It also violates the Digital Millennium Copyright Act by bypassing technical safeguards designed to prevent downloads. The labels claim Suno and Udio have been playing “a game of deception,” hiding how they obtained training data while knowing their conduct was illegal. This legal strategy mirrors recent wins against other big AI companies, including Anthropic’s $1.5 billion settlement with book authors for using pirated content. (The settlement is still under review by a judge, as I reported two weeks ago.)
Why This Matters For You:
The case could fundamentally reshape how AI companies source training data. If the music labels win, every AI music startup may need to negotiate expensive licensing deals before training models, potentially making AI-generated music far more costly to develop. For creators and listeners, this means the wild west era of AI music may be coming to an end, replaced by a world where only companies with deep pockets can afford to build the next generation of musical AI.
Read more on The Associated Press.
The $100 Billion Power Play: NVIDIA And OpenAI Team Up To Build AI’s Next Energy Empire
NVIDIA and OpenAI announced a massive partnership to deploy 10 gigawatts of computing power, with NVIDIA investing up to $100 billion progressively as each gigawatt comes online. The first gigawatt will deploy in the second half of 2026 on NVIDIA’s new Vera Rubin platform. To put that scale in perspective, 10 gigawatts could power about 7.5 million homes.
Key Insights:
OpenAI CEO Sam Altman referred to compute infrastructure as “the basis for the economy,” emphasizing how this deal positions both companies for the next era of AI development. You can expect NVIDIA’s first $10 billion investment upon completion of the first gigawatt, with subsequent investments made at current market valuations. The partnership creates the most significant private AI computing infrastructure in history.
Why This Matters For You:
This deal signals that the next AI breakthrough won’t just need more intelligent algorithms. It will need industrial-scale power. Companies building AI products will increasingly compete for access to these massive computing resources, potentially creating a new divide between AI haves and have-nots. Your workplace’s ability to deploy advanced AI tools may soon depend on whether your company can afford access to this new tier of computing infrastructure.
Read More on NVDIA Newsroom.
💡 Elite Prompt Of The Week: The Motivational Cheerleader
Confession: I often lose interest in things and struggle to motivate myself. Sometimes, even the most exciting projects can feel like a burden. That is why this week’s elite prompt is my personal favorite. It gives you three powerful reasons to shake off the slump and GET TO WORK. Use it whenever you are stuck, procrastinating, or just feeling melancholy.
This version is conversational and personal. The AI talks to you by name, like a coach who believes in you more than you do.
The Prompt:
Act as a motivational coach and expert in human psychology. Your job is to be my personal cheerleader and provide me with three powerful, specific reasons why I should take action immediately on this task.
Input:
My name is [FIRST NAME]. The task I am delaying is: [INSERT TASK OR GOAL].
Output Format:
Talk directly to me by name.
Give me exactly three reasons to take action right now.
Make it conversational, encouraging, and a little pushy in a loving way.
Each reason should feel like you are talking to me, not just listing ideas.
Conclude with a concise call-to-action that motivates me to take action immediately.
Tone: Energetic, supportive, and direct, as if you are my coach and biggest fan.
Rules: Do not use em dashes in the output.Why This Prompt Works:
✅ Role-Playing: The AI acts like a personal cheerleader who knows your name.
✅ Conversational Style: Feels more like a friend or coach than a script.
✅ Personal Motivation: Each reason connects to you directly, making it harder to ignore.
Follow-Up Questions To Ask Your AI:
Make the reasons shorter and punchier, like a pep talk.
Make the reasons more intense, like a sports coach at halftime.
Make the reasons softer and more compassionate, like a best friend.
🚀 Challenge:
Next time you feel stuck, give the AI your first name and the task you’re currently delaying. Let it talk to you directly. You might be surprised at how much easier it feels to start when the message feels personal.
That is how you train like a pithy cyborg.
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And still no one asks if they should, I’ve got a trillion citizens living downstairs in my gut biome that have no idea after having survived a somewhat over pedigreed virus with all the human keys and the ability to penetrate deep into previously unmined nooks and crannies.
Once again, MRCOMPUTERSCIENCE, you have my brain going in many different directions. I love these thoughtful summaries that help me keep up with big AI news.
The Stanford breakthrough shows AI’s potential to tackle persistent medical challenges like antibiotic resistance. I’m no bio scientist but designing synthetic phage genomes from scratch is impressive. This is one of the latest examples of how AI will advance medicine and drug treatments in ways we never thought possible.
Regarding the Suno and Udio SCANDAL. It harkens back to the fledgling days of digital music downloads and Napster. And back then as now, it took the big guys, UMG, Warner, and Sony to step in. This time we might need Taylor Swift.
Your likely right that respecting copyright and compensating artists may ultimately favor Big Tech, simply because they’re the ones who can afford to do it at scale. But there is a data licensing startup called Human Native where creators can opt in, set terms, and get paid. So a small startup is proving it’s possible to respect copyright in training data.