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In Today’s Issue:
🧬 New mitochondrial uncouplers safely boost cellular fat-burning
📌 OpenAI prototypes "sponsored results" and sidebar ads
🧺 Salesforce pivots to tightly controlled automation
🧪 mRNA treatments successfully restore youthful immune responses
✨ And more AI goodness…
Dear Readers,
We hope you had a wonderful Christmas!
Here are the news updates for the Christmas season: ChatGPT may soon face its biggest product test yet: can it introduce ads without turning answers into pitches? Today’s lead story follows how OpenAI’s ad plans are reportedly taking shape around “second-step” sponsorships, shown only when you’ve signaled real buying intent, and formats like clearly labeled sponsored sidebars designed to stay unobtrusive. That same reality-check runs through the rest of this issue: Salesforce is dialing back the “agents will automate everything” confidence after reliability issues, longevity science is exploring safer ways to boost metabolism and temporarily refresh ageing immunity, and the U.S. economy is flashing a strange signal—strong growth while jobs lag. Keep reading: these threads all point to one question—where does trust hold when the incentives shift?
All the best,
🧬 New drugs turbocharge cellular fat-burning
Researchers at UTS and Memorial University have created experimental “mild” mitochondrial uncouplers that make our cellular powerhouses burn more calories and fat without shutting down ATP production, avoiding the lethal overheating risks of old uncouplers like DNP. By finely tuning how these molecules leak protons across mitochondrial membranes, they safely boost energy expenditure, cut oxidative stress, and could one day support weight loss, metabolic health, healthier aging and even protect the brain in diseases like dementia—though this is still early-stage lab research.
🧺 Salesforce Rethinks Aggressive AI Automation
Salesforce cut around 4,000 support roles and shifted work to AI agents, but executives now admit they were “more confident about LLMs a year ago” after real-world issues like missed customer surveys, instruction failures and agents drifting off-task. The company is now reframing Agentforce away from pure generative AI hype toward tightly controlled, data-grounded automation that promises “trusted outcomes” rather than fully autonomous agents.
🧪 mRNA briefly rejuvenates ageing immunity
Scientists used an mRNA “DFI cocktail” to turn the liver of old mice into a temporary factory for three key immune factors, restoring youthful, diverse T cells and dramatically improving responses to vaccines and cancer immunotherapy. The treatment is given twice weekly, works only for a limited time and seems to avoid dangerous overactivation of the immune system, suggesting immune ageing is at least partly reversible rather than a one-way decline.
📌 OpenAI’s Ads Take Form
The Takeaway
👉 OpenAI is actively exploring how ads could appear inside ChatGPT, including prototypes like sponsored info in a sidebar and clearer “sponsored results” disclosures.
👉 One idea is preferential ranking: the model could surface sponsored options more prominently when a user query shows clear purchase intent (e.g., beauty products, travel activities).
👉 OpenAI is trying to avoid backlash by making ads unobtrusive and “second-step”, showing them only after a conversation moves toward decision-making (e.g., after a click for more info).
👉 Ads are attractive because ChatGPT’s scale + commerce features could turn “high-intent conversations” into a new ad surface, but trust risk is the core constraint.
What if your next ChatGPT answer came with a quiet “sponsored” nudge? Reports say OpenAI has been prototyping ad formats that don’t feel like the noisy web: sponsored links in a sidebar, clear disclosures, and even “second-step” ads that appear only after you’ve signaled buying intent - like clicking a suggested attraction in a trip plan.
This isn’t just monetization, it’s product design under a microscope. ChatGPT’s superpower is attention and context: conversations reveal what you care about, in real time. Pair that with OpenAI’s new commerce rails, Instant Checkout inside ChatGPT (powered by Stripe) and integrations with Etsy plus a big pipeline of Shopify merchants - and ads could become measurable, conversion-native recommendations rather than random banners.
The stakes are massive. Big Tech already captures the majority of global digital ad spend outside China, so any credible new “intent engine” instantly becomes competitive pressure. The real question: can OpenAI turn ads into useful suggestions, without breaking the spell of trust?
Why it matters: If OpenAI gets ads right, it could fund more compute without corroding trust. If it gets them wrong, users will treat every answer as a sales pitch - and leave.
Sources:
🔗 https://www.theinformation.com/articles/openais-ads-push-starts-taking-shape
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🔗 Growth Booms, Jobs Send Warning!
The U.S. just printed 4.3% annualized GDP growth for Q3 2025—and it sounds like a victory lap. Kim, the weird part is what’s missing: jobs. The unemployment rate sits at 4.6%, and hiring has been sluggish even as spending keeps the headline number looking strong.
Here’s the twist: real disposable income was flat (0.0%) in Q3. That means many households didn’t actually gain purchasing power - yet consumption still rose. A big clue is where the money went: not a carefree shopping spree, but services that feel non-optional, with healthcare often cited as a major pressure point. This is the “K-shaped” economy in action: asset-holders and high earners keep the engine running, while everyone else is financing “growth” via thinner savings, more credit, or delayed trade-offs.
This is the macro backdrop that matters: if productivity gains concentrate upside without broad wage growth, you can get strong output + weak labor + sticky inflation- a tension that shapes everything from funding conditions to enterprise AI budgets.
If growth keeps decoupling from jobs, AI’s next chapter won’t be judged by demos - it’ll be judged by whether it spreads purchasing power beyond the top of the “K.” And if markets start doubting AI-driven returns, the “easy money” environment for scaling could tighten fast.
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