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Ghost Tracks, Real Streams: Spotify’s Phantom Band Exposed

Privacy audit crowns Le Chat, Apple Vision roadmap leaks, Senate nixes AI freeze, Cloudflare tolls crawlers, Perplexity’s $200 tier, Amazon hits 1 million robots

Beginners in AI

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Welcome to this week's edition of Beginners in AI, where we explore the latest trends, tools, and news in the world of AI and the tech that surrounds it. Like all editions, this is human curated and published with the intention of making AI news and technology more accessible to everyone.

This issue spotlights a ghost band fooling half a million Spotify listeners, then zips through a privacy face-off that ranks top chatbots, a leaked roadmap for Apple’s Vision headsets and glasses, a Senate vote that keeps states free to write their own AI rules, Cloudflare’s paywall for data-hungry bots, Perplexity’s new $200 “Max” plan for power users, and Amazon’s huge milestone of one million robots on the warehouse floor.

Read Time: 6 minutes

AI TOP STORY
Spotify’s Phantom Band: Half a Million Fans Fooled by AI Rock Group

What Happened

We’ve detected a significant uptick in delivery of AI-generated music only in the past few months, and we see no sign of it slowing down.
That warning from Deezer’s CEO landed just as sleuths unmasked The Velvet Sundown—now topping 550 k Spotify monthly listeners—as an entirely synthetic act. Two full albums appeared in June, yet there’s no record of Gabe, Lennie, Milo, or Orion outside Spotify. Instagram deep-dives uncovered warped promo shots: burgers shared by hand-less guitarists, fingers that vanish and re-appear, and photoreal “studio-celebration” images of the four men high-fiving after a “finished track,” all hallmarks of image-generator slip-ups. 

What It Means
The reveal comes as Sony, Universal, and Warner push AI-music start-ups Suno and Udio to embed content-ID-style fingerprinting in any future licensing deals. Paired together, the fake band and the fingerprint push highlight the gap between friction-free creation and reliable attribution: streaming services can ingest AI tracks in minutes, while today’s detection tools still rely on voluntary watermarks, patchy metadata, or slow human reports. Until those layers converge, every playlist is a live experiment in how quickly synthetic art can outpace oversight.

What to Take Away
If a non-existent band can fool half a million listeners—and even fabricate celebratory selfies to cement the illusion—then questions of provenance move beyond audio. Future safeguards must verify the whole bundle: sound, image, and identity. Until that happens, we each decide whether authorship still matters, or whether a catchy hook plus a convincing photo is all it takes to hit repeat.

LAST WEEK IN AI AND TECH

Bots Meet Tolls

Cloudflare will now let site owners block AI crawlers outright or charge them per request. CEO Matthew Prince argues the move is needed because “the web is being strip-mined by AI crawlers with content creators seeing almost no traffic and therefore almost no value.” The switch could put a price tag on the raw text and images that fuel large language models—and force smaller AI firms to open their wallets. 

Read More

Data Guard Showdown

French startup Mistral AI’s “Le Chat” landed at the top of an 11-point privacy audit that pitted eight well-known chatbots against one another. The Incogni report praised Le Chat for gathering “limited personal data” and granting clear opt-outs, while Meta AI and Google’s Gemini ranked last for routinely using prompts to retrain models. For users, the scorecard doubles as a cheat sheet on which assistants keep secrets safest; for rival developers, it sets a bar they can’t easily ignore. 

Read More

Eye on the Prize

Apple-watcher Ming-Chi Kuo says the company has “at least seven Vision-family projects in development,” stretching from a lighter “Vision Air” headset to display-less smart glasses due in 2027. The leaked roadmap hints that Apple will iterate yearly—much like the iPhone—while baking more AI-first features into each release to nudge spatial computing into daily life. 

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Clause and Effect

In a rare 99-1 vote, the U.S. Senate stripped a proposed five-year “AI moratorium” from the federal budget bill, rejecting tech-industry pleas for a single national rulebook. Legislators warned the ban would “harm consumers and let powerful AI companies operate with little oversight,” clearing the way for states to draft their own safeguards—and for companies to face a patchwork of rules.

Read More

Max-ing Out

Search-upstart Perplexity rolled out a $200-per-month “Max” tier that offers unlimited access to its Labs tools and early entry to features like the forthcoming Comet AI browser. The company positions Max as a power-user lane above its $20 Pro plan, mirroring OpenAI’s and Anthropic’s push toward hyper-premium subscriptions to offset soaring model-licensing and cloud costs.

Read More

We’re not teaching machines to think. We’re teaching them to predict our patterns.

Janelle Shane

TECH TERMS TO KNOW

Data Provenance tracks the origin and lifecycle of data—critical for verifying whether something (like a song or image) was AI-generated or human-made.

TOOL SPOTLIGHT (non-sponsored)

Head AI is an AI-powered marketing platform that positions itself as the "world's first AI marketer," specializing in automating and optimizing influencer and affiliate marketing tasks for businesses.

Reasons to consider using HeadAI:

  • Full automation of influencer & affiliate marketing: The platform handles the entire process, from identifying and matching suitable influencers to negotiating deals, tracking performance, and managing affiliate programs—including partner recruitment and real-time conversion tracking.

  • Instant brand identity generation: By simply submitting your website link, HeadAI analyzes and creates a unique brand DNA, capturing your core values, messaging, and market position in seconds—ensuring consistent, clear communication across all marketing efforts.

  • Performance and scalability: HeadAI claims to outperform traditional human marketing teams, automating the workload of a 100-person team and allowing businesses to scale their marketing efforts efficiently.

  • Proven results: The platform highlights case studies with impressive metrics, such as achieving a 22.19% click-through rate (CTR), over 1.2 million viral views, and millions of impressions with low cost-per-click (CPC) and cost-per-thousand impressions (CPM).

  • Time and resource savings: By automating complex marketing tasks, businesses can focus on strategy and approval, while HeadAI manages execution and optimization.

ROBOTICS AND AI

MegaBot Milestone

I never thought we’d reach this point,” an Amazon robotics lead admitted as the company activated its one-millionth warehouse robot. The mobile fleet now glides through 300-plus fulfillment centers, guided by a new foundation model called DeepFleet that already shaves roughly 10 percent off each robot’s travel time. Amazon insists the rollout augments—not replaces—humans, pointing to 700 k employees retrained for tech-centric roles that keep the robotic army humming. The milestone marks a shift: warehouse bots are no longer a pilot project but the backbone of modern logistics. 

TRY THIS PROMPT (copy and paste into ChatGPT, Grok, Perplexity, Gemini)

Role & Goal
You are my AI coding partner. Help me build GhostGroove Inspector, a browser extension + web dashboard that tells listeners whether a Spotify track is likely AI-generated and whether its “artist” images are synthetic.

Core Features
• Track Scanner – Pulls track metadata and checks for red flags: no live credits, same release date for many songs, odd ISRC patterns.

• Image Checker – Runs basic vision heuristics (finger counts, background artifacts) on artist photos and returns a “human-made vs. AI-made” score.

• Playlist Audit – Users drop a playlist link; extension highlights suspect songs and offers a one-click “Replace with similar human track” option.

Tech Stack
• Front end: Svelte + Tailwind in a Chrome/Edge/Firefox extension shell.

• Back end: Cloudflare Workers + KV for caching look-ups.

• ML Helpers: Call Replicate’s stable-diffusion-finger-counter model for quick image checks, and Hive AI’s audio watermark API when available.

• Auth (optional): Sign in with Spotify to write new playlists.

Deliverables (in order):

Extension scaffold with basic UI and OAuth handshake.
analyzeTrack() function (JavaScript) that returns a JSON risk object.

Vision helper (checkArtistImage()) that flags missing fingers, warped gear, or cloned faces.

Playlist audit view with color codes: green (likely human), yellow (uncertain), red (likely AI).

README covering install steps, required API keys, and how to run tests.

Workflow Rules:
• Work in PR-ready slices; cap each slice at ~200 lines.
• After each slice, give me a 2-sentence recap and wait for sign-off.
• Include simple unit tests with Vitest for helper functions.
• Avoid external libraries unless truly needed; prefer simple regex or DOM parsing first.
First Task
Reply with a bullet plan of the folders, key files, and the exact commands to scaffold the Svelte extension. Then pause for my thumbs-up.

DID YOU KNOW?

Spotify once tested detecting your emotions through your voice.
A 2021 patent revealed tech that could analyze user speech and suggest music based on mood, accent, and even age.

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