(00:38) Meta AI launches a dedicated desktop app for Mac Meta's standalone Mac app targets business owners and creators who run on Facebook and Instagram. Meta AI can now tap into its own analytics and advertising tools, and professional accounts can connect Google Workspace to pull in documents and spreadsheets. Meta says users can ask questions about their business and get answers drawn from account engagement and ad performance data, plus publicly available insights on how comparable brands are building their presence.

(01:45) Daniel's take: analytics-aware AI is the real feature Daniel draws the parallel to YouTube's Ask Studio, where you can ask an AI to review your last ten videos and tell you what worked. Being able to ask why a suggestion will work is where the value shows up. His one complaint: no Windows version, at least not yet.

(02:51) Why do AI tools keep launching on Apple first? Ashley points to how the platforms are built from the ground up and the different exploit and remediation timelines. Daniel offers a complementary theory: fewer Apple users means fewer bad actors targeting them. Their conclusion is that it is probably multiple compounding reasons.

(04:08) 404 Media tracks rare books to an Amazon AI training facility Background: booksellers had reported a historic spike in bulk purchases, made anonymously, in seemingly random selections, by buyers who were not price sensitive at all. Printed books are prized training data because the text was never scraped from the web, it is cleanly organized, and anything printed before 2022 is guaranteed free of AI-generated text. Models trained on AI-generated text get worse.

(05:24) Inside the Las Vegas warehouse 404 Media planted a tracking device in a rare book and followed it through multiple stops to an Amazon warehouse in Las Vegas. Employees describe receiving enormous shipments, cutting the bindings off to scan faster, and destroying the books. Barcodes and serial numbers get scanned, consistent with a methodical effort to work through the world's ISBN list. Many of the books are rare, out of print, or in foreign languages, meaning few people would notice their hard copies disappearing.

(06:37) Ashley's take: history does not look kindly on this Ashley recommends the 404 Media podcast episode on the investigation (linked below). Her position: digitizing is good, destroying is not, and none of this addresses the fact that creators were never paid for the data sets behind today's models.

(07:28) Nobody is paying the authors Daniel agrees that digitization has real preservation value and notes that once a book is sold, the seller loses control of it. The unresolved problem is that the original writer gets nothing while their work trains an LLM.

(08:14) Until regulation forces a change, this continues Ashley's closing point on where this goes next.

• 404 Media's investigation into Amazon and the rare book shipments: https://archive.ph/70Hun
• 404 Media podcast episode on the investigation (Ashley's recommendation): https://pod.link/1703615331/episode/NTlmNDdlNGUtOWI1Ni0xMWYxLTlkYzUtMzcwNmUzNGZmZWMx
• Meta's post announcing the Meta AI desktop app: https://ai.meta.com/meta-ai/download/

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• Daniel Hill: @danielhillmedia on Instagram, Threads, and YouTube
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ChatGPT ads have officially landed! OpenAI's biggest advertising rollout yet is now live across 31 European markets, targeting Free and Go-tier users. Hosts Ashley Coffey and Daniel Hill break down why OpenAI is leaning on explicit user consent (not "legitimate interest") to stay GDPR-compliant, and why this move is really about revenue ahead of a possible IPO.

Then: why doesn't anyone trust AI yet? A new TechCrunch report, backed by comments from Anthropic's CEO, a CNBC trust poll of 18–34 year olds, and a Wall Street Journal piece on AI data center backlash — shows the AI industry has a real trust problem, not just a PR problem. Ashley and Daniel dig into the rise of "dumb tech" and slow-tech trends among younger generations, Airbnb CEO Brian Chesky's comments on the AI backlash, and where AI actually earns its keep (hint: not everywhere).

Source: Digiday (link in original article)

• OpenAI's largest ad rollout to date goes live across 31 European markets today, shown only to Free and Go-tier ChatGPT users.
• Unlike some ad platforms that rely on "legitimate interest" to justify targeting, OpenAI is asking for explicit user consent — a GDPR (General Data Protection Regulation) requirement, since personalized ads count as processing personal data.
• Context: this rollout comes as OpenAI and Anthropic both position themselves ahead of potential future IPOs — and ad revenue is attractive to investors.
• Ashley & Daniel's take: Both hosts are skeptical ads will be a viable long-term revenue strategy for AI companies. Ashley flags the trust risk — once ads enter the picture, users start questioning whether an AI's answer is the best one or the highest-paying one. Daniel predicts ad volume will keep climbing if profitability doesn't materialize quickly.

Source: TechCrunch (link in original article)

• Anthropic's CEO posted on X this week acknowledging AI's trust crisis, saying the public suspects AI companies are "cooking up some new way to screw them over" — and admitting the industry hasn't delivered on big promises like curing cancer.
• A CNBC poll found a majority of 18–34 year olds don't trust top AI industry leaders to act responsibly.
• The Wall Street Journal reports tech companies are facing a PR crisis over AI data center buildouts across the US, now offering job guarantees and clean water investments to ease community pushback.
• Consumer trend watch: younger generations are turning to "dumb phones," point-and-shoot cameras, tape decks, CDs, iPods — plus offline hobbies like knitting, quilting, puzzles, and mahjong. In-person activities like run clubs are outpacing online dating in popularity.
• Airbnb CEO Brian Chesky says the AI backlash is real — not because of messaging, but because the industry isn't shipping products regular people can actually use or afford.
• Ashley & Daniel's take: Skepticism toward new tech is human nature (see: the Model T vs. horses). Ashley argues this is a leadership problem, not just a PR problem, and calls for more community input on data center siting decisions. Both agree AI has real, valuable use cases — like expanding access to mental health support or medical guidance for people who lack insurance or scheduling flexibility — but isn't a wholesale replacement for human alternatives. Ashley also flags Gen Alpha's growing interest in "low-tech" and slow-tech living as a trend worth watching.

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Twitch Will Train Amazon's AI on Your Content — Unless You Opt Out (00:40)

Twitch now trains Amazon's generative AI models on streamers' broadcasts, clips, VODs, chat text, and images by default. Streamers who want out have to manually turn it off:

• Go to Settings → Security and Privacy in your Twitch account
• Find the toggle labeled "Training for Generative AI"
• Turn it off to stop Amazon from using your streams, VODs, clips, highlights, chat, and images for future model training

Opting out only blocks generative AI training. Twitch can still use AI for captions, recommendations, sponsorship tools, streamer growth features, monetization, and safety tools like AutoMod.

Ashley and Daniel discuss why Amazon didn't simply pay streamers for their data, and how this mirrors the original, uncompensated scraping that built today's AI models in the first place.

Source: Twitch will train Amazon’s generative AI on your streams, clips, and chat by default unless you manually opt out. (Apple Insider)

NVIDIA's $500 Billion Plan Is Risky but Brilliant — Especially for Aging GPUs (02:43)

NVIDIA has lined up commitments of up to $500 billion from major investment firms — including BlackRock, Blackstone, and Goldman Sachs — to fund new AI data centers. To win their confidence, NVIDIA is personally guaranteeing the resale value of the GPUs backing those deals: if the chips used as loan collateral lose value and a lender has to liquidate, NVIDIA will cover up to 25% of the shortfall.

Daniel draws a parallel to Lucent Technologies during the dot-com crash, which financed its own customers' equipment purchases and collapsed when the bubble burst. He also flags the "wrong-way risk" this creates for NVIDIA: its financial obligations grow biggest exactly when demand — and its own revenue — is weakest.

Ashley and Daniel also cover CEO Jensen Huang's public comments to investors and bond markets aimed at calming fears about NVIDIA's exposure, and debate whether this financing structure is a bold, necessary innovation or a warning sign of a bubble nearing its tipping point.

Source: Nvidia’s new $500B plan is risky but brilliant, especially for aging GPUs (TechCrunch)

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