For its first CTV campaign, Jennifer Aniston’s DTC haircare brand LolaVie had a few non-negotiables. The campaign had to be simple. It had to demonstrate measurable impact. And it had to be full-funnel.

LolaVie used Roku Ads Manager to test and optimize creatives — reaching millions of potential customers at all stages of their purchase journeys. Roku Ads Manager helped the brand convey LolaVie’s playful voice while helping drive omnichannel sales across both ecommerce and retail touchpoints.

The campaign included an Action Ad overlay that let viewers shop directly from their TVs by clicking OK on their Roku remote. This guided them to the website to buy LolaVie products.

Discover how Roku Ads Manager helped LolaVie drive big sales and customer growth with self-serve TV ads.

The DTC beauty category is crowded. To break through, Jennifer Anniston’s brand LolaVie, worked with Roku Ads Manager to easily set up, test, and optimize CTV ad creatives. The campaign helped drive a big lift in sales and customer growth, helping LolaVie break through in the crowded beauty category.

Learn more.

AI stocks. Metals. Crypto.

Surprise, surprise; gold crashed 16%. Silver plunged 34%. Bitcoin dropped to 1 year lows.

All supposedly "uncorrelated" assets moving in lockstep largely because of overleveraged margin.

JPM strategists warn that the same leverage is still a risk.

Those markets may be recovering now, but cascading liquidations could trigger quickly across several asset classes simultaneously.

So much for diversifying away risk, right?

But get this–

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_{*Investing involves risk.  Past performance is not indicative of future returns. Important Reg A disclosures: masterworks.com/cd}

But what’s below the surface? 👇

While the official notes show the biggest features, there’s a lot happening that doesn’t make the cut:

Improvements in reasoning or fluency don’t always translate into better performance for every use case.

Early adopters report that some tasks — like nuanced writing or domain‑specific reasoning — don’t always show the gains the hype suggests.

Small tweaks in default routing or model bias — like changes in how automatic routing works for different reasoning tasks — might go unnoticed in the high‑level notes yet affect how you interact with the AI daily.

Not every “next‑gen” label means a massive leap. Some analyses and community discussions point out that certain upgrades are evolutionary, not revolutionary — and that the “biggest improvements” are often incremental or task‑specific.

Coding, research, analysis — it pays to read the release notes and listen to the community voices, case studies, and early feedback.

Stay tuned — next issue will break down how to evaluate these model changes for your workflows (and what questions to ask before adopting new models).

Input → Categorize → Expand → Draft → Schedule

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