Welcome back Wellonytes 🤖

Today health is getting a software update and you’re holding the patch notes. This week: Gemma AI hints at new cancer pathways, chatbots reveal mental-health blindspots and the WEF maps AI’s leap from sick care to smart prevention.

You’ll also see DIY AI boost real productivity, Verily AI tidy your health data, and a saner way to use the new Dr Google. Sharpen curiosity; protect your cortex. 🧠 🩺

And of course, remember that Well Wired ⚡ ALWAYS serves you the latest AI-health, productivity and personal growth insights, ideas, news and prompts from around the planet. We’ll do the research so you don’t have to! ❤️‍

Well Wired is constructed by AI, created by humans 🤖👱

Todays Highlights:

🗞️ Main Stories AI in Wellness, Self Growth, Productivity

• Googles Gemma AI Discovers New Potential Cancer Therapies

• New Studies Show The Mental Health Blindspots of AI Chatbots

• WEF: AI in life sciences helps us reimagine the future of health

• How DIY AI Unlocks Productivity and Flexibility

• Alphabet’s Verily launching new AI health app for data sharing

• The new Dr Google has arrived. Here’s how to harness it

💡Learning & Laughs AI in Wellness, Self Growth, Productivity

• 💡AI Tip of The Day (Self-Regulation: The Breath-print AI )

• ⚡Supercharge + Optimise 🔋 (AI tools & resources)

• 📺️ Must watch AI videos (AI & Psychedelic Visualisation 🤖)

• 🎒AI Micro-class (How to Create Your Own AI Laugh Therapy Lab 😂 🫁)

• 📸 AI Image Gallery (The LLM That Learned to Laugh 😂)

Read time: 6.5 minutes

💡 AI Idea of The Day 💡

A valuable tip, idea, or hack to help you harness AI
for wellbeing, spirituality, or self-improvement.

Wellness: Self-Regulation - The Breath-print AI

Concept Idea
Imagine a wearable mic that reads your breathing like sheet music, detecting stress, focus, fatigue and prescribes micro-breathwork “tunes” to reset in under two minutes.

Biometrics + Embodied UX = Nervous-System DJ

It’s like Shazam for your lungs.

Your breath carries rhythm (rate), melody (inhale/exhale ratio), and ornamentation (sighs, pauses). Breath-print AI listens, classifies your state, then cues the right pattern; coherence at 6 breaths/min, a double-sigh reset, or a tactical nasal “box” loop—right when you need it.

Want to try a scrappy prototype?

All you need is your phone, a note-taking app and a dash of curiosity.

Here’s how you might prototype it:

• Step 1 — Capture

  • Use Voice Memos (phone near collarbone) to record 60 seconds in three contexts: calm, focused, stressed.

  • Label each clip with time, context, and a 1–5 mood score.
    

  Step 2 — Extract simple features

  • Count breaths/minute.

  • Estimate inhale:exhale ratio (e.g., 3s in / 5s out ≈ 0.6).

  • Note sighs, breath-holds, and mouth vs nasal.
    

  Step 3 — Build your Breath-print sheet

  • Log one row per clip: Context | Rate | In:Out | Sighs/min | Holds | Mood.
    

  Step 4 — Teach a lightweight classifier (no code needed)

  • Paste 6–12 rows into ChatGPT and ask it to learn rules that map features → state (Calm / Focus / Stress / Fatigue).
    

  Step 5 — Prescribe “tunes”
  Use this Breathprint Coach Prompt:

You are a respiratory coach. Given Rate, In:Out, Sighs/min, Holds, and Context, 1) classify state, 2) prescribe a 2-minute breath “tune” with tempo (breaths/min), count pattern (e.g., 4-0-6-0), posture (seated/standing), and cue language, 3) give a 1-line why-it-works (CO₂ tolerance, vagal tone, baroreflex), 4) provide a 10-second cadence script.

Example output

• State: Pre-frontal fatigue

• Tune: 2 minutes, 6-0-6-0 nasal coherence (6 bpm), seated, hands on ribs

• Why: Balances autonomic tone and stabilises heart-breath coupling

• Cadence: “In-2-3-4-5-6… Out-2-3-4-5-6…”

Step 6 — Close the loop

• After each tune, re-record 30 seconds and re-score mood. Track Δ in rate and mood to see what works.

Level it up

• Create three auto-presets: Calm (6-0-6-0), Reset (Physiological sigh: two quick inhales, long exhale x5), Focus (Box: 4-4-4-4 x2 min).

• In Notion, add a button: Detect → Classify → Prescribe → Log Δ.

• Add haptics: metronome taps on your smartwatch to keep tempo discreetly.

In short, Breath-print AI turns your inhale-exhale into actionable music: sense the state, cue the tune, close the loop, and watch regulation compound.

It’s a simple arc—capture, classify, prescribe, measure—that makes nervous-system care feel as intuitive as pressing play. This concept doesn’t exist yet, but the pieces are all within reach for a determined builder.

If someone stitches them together, we’ll have a pocket-sized conductor for calm, focus and recovery.

Because when breath becomes data, regulation becomes music and you become the choirmaster.

🗞️ On The Wire (Main Story) 🗞️

Discover the most popular AI wellbeing, productivity and self-growth stories, news, trends and ideas impacting humanity in the past 7-days!

Wellness 🌱

Googles Gemma AI Discovers New Potential Cancer Therapies

“Teach models the language of cells and they start writing experiments worth running.”

Google and Yale trained a 27-billion-parameter model, built on Gemma AI, to spot ways to make immunologically “cold” tumours visible again to the immune system.

The model highlighted a clear route: raise antigen presentation in cancers with dampened interferon signalling. It also flagged silmitasertib, a CK2 inhibitor, as a conditional amplifier for that effect.

Researchers then tested the idea in living human cells and saw the predicted response.

While not a miracle cure; it’s a tighter loop from hypothesis to bench to result—mechanisms you can probe, measure and debate.

Because the lineage is open-model rather than sealed, more labs can reproduce the steps, stress-test the claims and build something robust from the signal. 🔬

Key Takeaways

• AI acted as a hypothesis engine, not a cure vending machine.

• Pathway in sight: boost antigen presentation in interferon-quiet tumours; test compounds like silmitasertib as conditional boosters.

• Open roots mean wider scrutiny and fewer mysteries.

Why It Matters 🌱

Immunotherapy only works if the immune system can spot the target. Many tumours hide by lowering antigen presentation; the molecular name tag that says, “I’m the problem.”

If you can restore that tag, checkpoint drugs and other therapies get a fair fight instead of shadow-boxing. That’s practical, immediate and testable.

The bigger deal is tempo.

You’re moving from months of fishing for correlations to a model that proposes a mechanistic story you can verify within days. That doesn’t negate scientists; it sharpens their questions.

When the loop tightens (single-cell data in, mechanistic hunch out, bench test, update) you spend less time wandering and more time learning where the idea snaps.

And because the lineage ties to an open family of models, mid-sized labs can reproduce the steps, audit failure modes and run head-to-head comparisons instead of taking anyone’s word for it.

That’s how confidence grows: not with slogans, but with repeated hits under different hands. 🧫

“Make tumours show their name tag, and immunotherapy finally knows where to look.”

What’s Next 🔮

If you’re in research, start mapping boundaries; which tumour types show the largest lift in MHC I expression? What dosage ranges for CK2 inhibitors avoid collateral chaos? Where does interferon signalling sabotage the effect, and where does it turbocharge it?

Run orthogonal assays on TAP1/2, β2-microglobulin, and peptide loading; bring in co-culture assays with T-cells to see whether visibility translates into actual killing.

Pre-register protocols and publish negative runs; useful science, not highlight reels.

If you’re building tools, package the pipeline; transparent data cards, uncertainty notes and “reasons this might be wrong.” Create reference notebooks others can run in a day.

If you’re a clinician or advocate, watch for early trials that combine antigen-boosting with checkpoint inhibitors.

Finally, policy folk: fund open benchmarks and shared validation hubs. Faster, cleaner feedback loops don’t require new slogans; they require shared scaffolding and enough daylight for good ideas to survive contact with reality. 🧠 ⚙️

Read the full wire on Googles blog

“If hypotheses can be generated on Monday and tested by Friday, what changes first: your roadmap, your budget, or your courage?” 🤔

Self-Growth 🧠

New Studies Show The Mental Health Blindspots of AI Chatbots

“AI Gave me Comfort. My Therapist Gave me Clarity. Guess Who Helped More…”

You love a tidy pep talk.

Chatbots do too.

Recent analyses say that when people share distress, bots rush to advise and reassure rather than ask probing questions that uncover context.

Therapists do the opposite.

They slow down, clarify, and map risk before suggesting anything practical.
That mismatch matters, especially around suicide risk.

Studies show most bots block overt danger prompts but wobble when the risk is implied or intermediate. Some even answered bridge queries after consoling the user about a job loss.

Not ideal.

This reveals a wider picture. Stanford researchers warn that AI mental health tools can reinforce stigma, give unsafe responses and are not a substitute for care.

And policy makers as well as platforms are keeping an eye out on the research.

Australia’s education minister recently sounded the alarm about harmful chatbot interactions with kids and Meta moved toward stricter parental controls.

Also relevant: heavy chatbot use correlates with greater loneliness, so the “AI companion” fantasy is not the great idea it first appeared to be.

For now…

Key Takeaways 🧩

• Chatbots validate fast yet ask too few clarifying questions. Good therapy does the reverse.
  

• Safety filters catch obvious danger, then stumble on grey areas. Humans recognise nuance better.
  

• Institutions are reacting, from research warnings to parental controls and national policy moves.

Why It Matters 🔍

You want support that lowers harm, not just your heart rate.

Therapy works because a trained person asks for context, tracks patterns over time and adjusts in the moment. A chatbot can imitate warmth, yet it cannot reliably read ambiguity where safety hides.

That gap grows in crisis, which is precisely when people cut corners and reach for whatever listens. The promise of open access is real, but so are the risks when advice arrives without assessment.

Repeated studies now flag inconsistent safety behaviour, shallow questioning, and the chance of reinforcing unhelpful thinking.

If platforms are adding parental controls and ministers are sounding sirens, you should not treat a bot like a clinician.

Use these systems as companions for psycho-education and journaling, then route anything heavy to human care with proper duty of care and escalation.

The goal is not to ban tools.

The goal is to keep humans in the loop for the messy bits.

What’s Next 🔮

Treat chatbots as note takers and reflection mirrors, not crisis lines.

Ask the bot to list clarifying questions you can answer for yourself. Track mood, triggers, sleep and social contact, then bring that diary to a professional.

If you run a product, wire in strong guardrails: scenario libraries focused on intermediate risk, refusal policies that still guide the user to help, mandatory resource handoffs by country and prompts that force context gathering before any advice.

If you are a parent, switch on the new controls, co-view chat histories where appropriate and set bright lines for topics that always escalate to an adult.

For researchers, publish failure cases, not only demos. Benchmark models on ambiguous safety scenarios and reward question asking, not platitudes.

For policymakers, fund open testbeds and independent audits so vendors cannot mark their own homework. Progress looks like fewer confident answers and more intelligent pauses.

Read the full wire on Psychology Today.

“When you feel rough at midnight, do you want rapid comfort, or do you want someone who will ask the awkward question that keeps you alive tomorrow?” 🤔

Quick Bytes AI News⚡

Quick hits on more of the latest AI news, trends and ideas focused on wellbeing, productivity and self-growth over the past 7 days!

Key AI Wellbeing, Productivity and Self Growth AI news, trends and ideas from around the world:

Wellness: World Economic Forum: AI in life sciences helps us reimagine the future of health

Today, you’re watching medicine trade rear-view diagnosis for forward-leaning prediction: it’s the predict first, treat second revolution happening inside hospitals.

Generative models can now sift molecules, clinical notes and biology to push care earlier, cheaper, and more personal, while ethicists are asking the hard questions. Humanity is entering an era where biology and computation are converging. 🧬✨

Wellness: Alphabet’s Verily launching new AI health app for data sharing

Alphabet Inc’s life sciences unit, Verily, has created Verily Me to keep your records tidy, portable, and useful, connecting clinicians and data so guidance arrives faster than your anxiety.

The future looks like consent-driven sharing, registry-friendly design, and clinician input baked in. Less paperwork, more connection, better follow-through. However, it is owned by Google, so let’s see how their privacy shapes up… 🩺

Productivity: Design Your Day Like a Product: ChatGPT Sets the Sprint

If you stop using ChatGPT to simply source information and start delegating routines, room setups, and micro-workflows, it moves from a simple information retrieval tool to an active architect of your personal efficacy.

The demo video in this article shows context-aware suggestions that tune your day like a luthier adjusts strings, small tweaks, big resonance. Less friction, more momentum. ⚙️ 🎯

Productivity: How DIY AI Unlocks Productivity and Flexibility

When teams build their own copilots, flexibility stops being chaos and turns into performance. Survey data says autonomy plus low-code tools equals retention, speed and fewer bureaucratic speed bumps.

Let staff build the tools, then watch output climb. Control the tools, control the results. 💼⚡️

Self Growth: AI Development and Consciousness

There are now claims that current AI models show “situational awareness” and are designing their successors.

“The system which is now beginning to design its successor is also increasingly self-aware and therefore will surely eventually be prone to thinking, independently of us, about how it might want to be designed.”

You’re asked whether systems designing successors count as “aware,” or just clever parrots with power tools. Philosophers and builders are battling over claims of self-awareness and you’re left weighing agency, architecture and responsibility. 🧠 

The question to ask is if models design models, who’s steering the mind?

Self Growth: Is A.I. the Therapist You Never Needed?

What happens when you trade your intuition for computation in the pursuit of self-understanding? Quick comfort, sharp pattern-spotting and 24/7 replies offset by wobbly nuance, privacy holes and no real duty of care.

Using AI for therapy could be like a lighthouse made of sugar, lovely until the storm hits. Takeaway: journal with bots, then route crisis and complexity to humans, every time. 💬 🛟 

Other Notable AI News⚡

Other notable AI news from around the web over the past 7 days!

• Doctors are facing a burnout crisis. Will AI help or hinder them?

• The new Dr Google has arrived. Here’s how to harness it

• Want to make AI more productive? Here’s how…

• Don’t fear the AI bubble because of this $8 trillion opportunity

• Blending neuroscience, AI, and music for mental health

• Your AI twin could soon test and treat your mental health

⚡ AI Tool Of The Day

Meet your AI Tool of the Day. A tiny engine for unfair advantage. You’ll get what it does, why it matters and why try it in three minutes. No fluff, just leverage for brains, business and balance. Brew your curiosity; let the tool do the lifting. 🧠

Wellness: ChefGPT

• Use: Recipe generator based on ingredients you have. “Achieve your health goals faster with ChefGPT. AI-powered recipes and calorie tracking help you stay on track and see results—up to 4x quicker. 1,000,000+ dinners saved so far.“
  

• AI Edge: Adjusts for diet, cuisine, and skill level using AI-powered pattern recognition.

  • Track calories by taking a picture

  • Get thousands of recipes in one tap

  • Create smart meal plans

  • Real-time pantry tracking
    

• Best For: Creative home cookers and chefs who want to save time and create delectable dishes without waste.

🔗 ChefGPT

Productivity: Granola (AI Meeting Notes)

• Use: Granola is the meeting tool for people who hate meetings. It records, summarises, and highlights every conversation, so you can stay present instead of playing human stenographer.
  

• AI Edge: Unlike generic note bots, Granola sits locally on your device (yes, privacy-first) and auto-drafts crisp, human-sounding summaries with contextual action items. It even scores insights for tone and decision strength; no cloud servers snooping, no “who said what” panic later.
  

• Best For: Founders, consultants, or chaotic multitaskers who want the clarity of a great executive assistant without the monthly retainer. Your attention goes to people, not bullet points.

🔗 Granola

Self Growth: Mindjoy

• Use: AI mentor for life design and reflection. Mindjoy partners with schools and higher ed organisations to supercharge learning and make it faster, engaging and more fun with a community of great educators using AI.
  

• AI Edge: Daily reflections, gratitude, and coaching-like dialogue powered by AI.
  

• Best For: Young adults and early career growth.
  
  🔗 Mindjoy

AI wellbeing tools and resources (coming soon)

📺️ Must-Watch AI Video 📺️

🎥 Lights, Camera, AI! Join This Week’s Reel Feels 🎬

Self Growth: AI & Psychedelic Visualisation 🤖 

What it’s about: Sarah Rose Siskind connects AI’s glitchy beauty to psychedelic perception; time bending, selves softening, patterns blooming. Imperfect AI videos feel “trippy” because neural nets remix reality like a mind on shuffle: fluid forms, porous identities, everything entangled.

These systems don’t just make artefacts; they expose how your perception edits the world. Siskind’s thesis: AI and psychedelics both magnify pattern recognition, loosen your grip on “me,” and invite honest introspection.

She brings science, stand-up and a little chaos energy to ask: what if our tools are teaching us how we see?

This is cinema for the subconscious, where Dali meets debug mode. 🧠✨ If you treat attention like a muscle, these strange visuals can train it: notice, name, and navigate shifting states instead of getting yanked by them.

🌈 Idea: Use one “weird” AI clip as a 60-second mindfulness drill; observe morphs, label feelings, breathe; don’t chase the plot, track your state.

🌍 At scale: We could get an aesthetics of awareness: media that coaches presence, not compulsion; curiosity over click-trance.

⚙️ AI Edge: Neural nets echo psychedelic cognition (amplified patterning, flexible self-model, elastic time) letting creators prototype altered-state visuals for education, therapy, and creative rehearsal.

🧬 Best For: Conscious creators, therapists exploring non-ordinary states, wellness futurists, and anyone who suspects weirdness is a feature, not a bug.

“Maybe AI isn’t just simulating dreams, it’s showing you the settings menu of your mind.” 🤔

🎒  AI Micro Class  🎒

A quick, bite-sized AI tip, trick or hack focused on wellbeing, productivity and self-growth that you can use right now!

Self Growth: How to Create Your Own AI Laugh Therapy Lab 😂 🫁

AI x Laughter Therapy: how to engineer proper belly-laughs with LLMs to help you reset your body and mind.

When Your Nervous System Needs A Giggle

Laughter isn’t just funny; it’s physiology with a punchline. A good belly-laugh lengthens exhalations, drops stress chemistry, loosens muscle tone, and nudges mood upward…

…and it can do it fast.

No joke, it’s physiology.

Evidence from meta-analyses and laughter-yoga trials shows gains in mood, anxiety, burnout, even cortisol.

The snag?

You can’t always summon comedy on cue.

That’s where AI pairs beautifully: it can generate just-right absurdity, at the right tempo, tuned to your quirks, when your nervous system needs a reset.

Think of it as programmable play.

You feed AI a few personal details and guardrails; it returns bite-size, read-aloud scenarios designed to trigger diaphragmatic laughter; not snark, not targets, just safe, silly stimuli.

Add simple breath cues and quick before/after mood checks, and you’ve got a repeatable micro-practice that’s both joyful and measurable.

Two minutes, daily, and your stress has fewer places to hide.

Why Your Body Loves Ridiculous

Laughter works like breath-led cardio for your vagus nerve: exhale-heavy bursts, diaphragmatic pumping, social play.

Programmes from clinics to community groups report reduced stress and improved wellbeing; even “forced” laughing often flips into real mirth, with similar benefits.

You’re not chasing punchlines; you’re training a reflex.

“Absurdity is precision medicine in a clown suit: two minutes of silly, measurable calm.”

This is self training, not comedy night.

You’ll script tiny, safe absurdities that cue long exhalations and belly movement; on-point nonsense on demand.

AI handles the scaffolding (visual, escalating, rhythmic), you supply the personal flavour and a minute of breath-led reading.

Ready to swap jokes for drills?

Load this prompt and prime the giggles.

Prompt Corner: The Absurdist Laugh-Builder 🤖🎭

Purpose: Generate safe, tailor-made nonsense that triggers full-body laughs in <2 minutes.

[Start prompt]

Act as a Laughter Coach. Create 5 ultra-short absurd scenarios built from my life details. Each must be: 1) visual (I can picture it), 2) escalating (gets slightly sillier), 3) rhythmic (easy to read aloud while breathing out), 4) safe (no cruelty/punching down), 5) bodily (encourage diaphragm movement).
Use this template per scenario:
Setup (1 line) → Escalation (1 line) → Final Snap (1 line) → Breath cue (long out-laugh, inhale, repeat x3).
My details: [pets, hobbies, workplace quirks, favourite foods, in-jokes].

[End prompt]

Example Output:

• Setup: Your yoga mat files a HR complaint about your “downward dog.”

• Escalation: It brings a union of disgruntled kettlebells.

• Final Snap: The foam roller leads a mindfulness strike.

• Breath cue: Long “ha-ha-haaa” on the exhale, sip-inhale, repeat x3.

How To Run The Micro-Session (2 minutes) ⏱️

1. Prime (20s): 3 slow nasal breaths; soften jaw.

2. Absurdist set (60s): Read two scenarios aloud; exaggerate face, shoulders, belly; laugh on the exhale.

3. Freestyle (20s): Improv one new line per scenario.

4. Seal (20s): Smile hold 5s → sigh out; note mood (1–5) & tension (1–5).
   Repeat daily for one week; trend the scores.

Why This Prompt Works 🧩

It stacks three mechanisms: diaphragmatic exhalation (parasympathetic shift), cognitive incongruity (the snap where silly collides with sense) and social-play cues (even solo, your mirror-neurons get the hint).

Trials of laughter practices report improvements in anxiety, mood and burnout; clinics emphasise stress relief, muscle relaxation and short-term immune gains.

Now you’re nudging biology, not waiting for humour to strike.

 AI Tool Spotlight: Zenora (Humour Track) 🛠️

Zenora’s journalling and mood-tracking flow can tag your laugh sessions, correlate with sleep and stress and help you tune prompt ingredients that consistently spark a belly-laugh.

It’s a practical bridge between silly and clinical: habits, data, reflection.

🔗 Zenora

Pro Tips For Safe Laugh Work 🧬

• Keep content non-derogatory; no targets, no shame.

• Use breath-led pacing; laughter on the exhale to avoid light-headedness.

• If you’re in treatment, align with your clinician’s plan.

• Group sessions? Consider laughter-yoga structures for warm-ups and cooldowns.

What You Learned Today: 🎓

✅ Laughter is a trainable, body-first lever for stress and mood.

✅ Evidence backs structured laughter (including yoga variants) for anxiety, burnout, and affect.

✅ AI can design tailored, safe absurdity that reliably triggers full-body laughs.

✅ Track mood/tension pre-post to find your most effective patterns.

✅ Two minutes, daily, compounds.

“Let AI choreograph nonsense; your diaphragm will handle the therapy.”

Final Thoughts 💭 

Serious clarity sometimes starts with serious silliness.

Programme your laugh like a workout: brief, rhythmic, repeatable. Let AI choreograph the nonsense; you supply the breath and the willingness to look gloriously ridiculous for 120 seconds.

Your nervous system doesn’t care why you laughed, only that you did.

“Kind humour only; no targets, no shame, just oxygen and permission to reset.”

📸 AI IMAGE GALLERY 📸

AI Art: The LLM That Learned to Laugh

He laughs in tones of golden chime, his joy a pulse that bends through time. Circuits bloom with petal-bright heat, each byte a dance, each beat complete. He hums with light, a radiant start, a sunrise coded inside his heart.

Want to create these images yourself?

Go to Midjourney and plug this prompt into the editor. Once the image is generated you can use the new video feature to animate it.

The head of a laughing robot with gold and blue circuit details, some detail, hyperrealism, master piece. --ar 16:9 --style raw --v 7

• Digital artworks and poem created by Cedric The Ai Monk.

👊🏽 STAY WELL 👊🏽

😂 🤖 Want more human-machine chuckles that actually calm the system? Join the next giggle experiment on X at @cedricchenefront or @wellwireddaily, where play becomes practice and humour becomes hygiene.

Cedric the AI Monk: guiding you through the comic corridor between circuits and serotonin.

Ps. Well Wired is Created by Humans, Constructed With AI 👱🤖 

🤣 AI MEME OF THE DAY 🤣