Friday Aug 28
46% USED AI2005 - 2026SHUT SEP 30

MTurk closes September 30 after 21 years. Bezos once called it artificial artificial intelligence. A 2023 study found up to 46% of its workers were quietly using LLMs.

The marketplace stopped being human before Amazon stopped selling it as human.

Ground Truth and Augmented A2I go too. The whole cheap-labeling stack is being retired.

Expert annotation vendors now charge 50x per task and their prices keep climbing.

full brief & sources

⚡ Why this matters

  • MTurk trained the datasets that trained the models that replaced MTurk.
  • The 46% number means the marketplace stopped being human before Amazon stopped selling it.
  • This is the cleanest displacement story of the year - no interpretation needed.

🔍 What happened

  • Announced Aug 25, 2026. Service ends Sept 30, 2026.
  • New customer signups were cut off July 30, alongside SageMaker Ground Truth and Amazon Augmented AI (A2I).
  • MTurk launched in 2005 to label data and do micro-tasks machines could not.
  • A 2023 EPFL study estimated 33-46% of MTurk crowd workers used LLMs for text tasks.
  • Amazon is shutting the whole human-in-the-loop labeling stack, not just the marketplace.

💬 Smart takes

  • The labeling market did not die. It moved to expert vendors like Surge and Scale at 50x the price per task.
  • Cheap generic human labor lost. Expensive specialist human labor got more valuable.
  • Academic researchers lose their default subject pool. That is a quiet methodological problem.

🧭 Where this goes

  1. Watch where the 500,000 workers go. Prolific and Clickworker are the obvious catchers.
  2. Watch RLHF pricing. Expert annotation rates have been climbing all year.
  3. Watch for replication crises in papers that used MTurk panels after 2023.

🥄 The Spoon Take

Amazon built a marketplace for humans pretending to be machines and closed it because the humans started using machines. Nobody writes an ending that neat on purpose.

🤔 Pushback

MTurk has been neglected for a decade - the shutdown may be product hygiene, not an AI verdict. And the 46% figure is one 2023 study on text tasks, not the whole platform.

Sunday Aug 16
ON BY DEFAULTYOUR STREAMSOPT-OUT

Twitch shipped a switch letting streamers block Amazon from training generative models on their channels. It arrived already flipped on. Every creator was enrolled before the choice existed.

The control landed in account settings on August 12.

CPO Mike Minton said opt-in would have meant nobody opting in.

Roughly 14,000 people upvoted a support-forum demand to flip the default.

full brief & sources

⚡ Why this matters

  • Consent design is the whole story. The default decides the outcome, and everyone building these systems knows it.
  • Amazon owns Twitch. The training data was already sitting inside the company, so nobody had to negotiate for it.

🔍 What happened

  • Twitch added an account setting on August 12 that stops channel content from feeding Amazon's generative models.
  • The toggle shipped switched on for every account. Streamers were enrolled before the option to decline existed.
  • Twitch executives took questions on a Patch Notes livestream the same day.
  • Almost 14,000 people upvoted a support-forum comment demanding the setting be opt-in.

💬 Smart takes

  • CPO Mike Minton, asked why it is not opt-in: 'If this was opt-in, nobody would opt in. That's honestly the answer.'
  • Head of community Mary Kish on why creators were not emailed: 'That's not the best answer, but creators don't always read their emails.'
  • Minton confirmed back in 2024 that Amazon was already training on Twitch content, so the setting formalizes something old.

🧭 Where this goes

  1. Likelyother creator platforms ship the same toggle in the same on position, now that someone has gone first.
  2. Possiblea regulator reads 'nobody would opt in' as an admission and asks about the consent basis.
  3. Wild Carda creators' collective builds a public opt-out registry and turns the default into a bargaining chip.

🥄 The Spoon Take

Minton said the quiet part with a shrug, and the shrug is the story. Everyone ships defaults that produce the number they want. Saying it out loud on a livestream is what turned a settings update into a consent fight. Honesty is cheaper than a lawsuit, until it is evidence.

🤔 Pushback

Amazon has trained on Twitch content since at least 2024. A toggle that lets you stop it is more control than creators had last week.

Thursday Aug 6
USERS, NOT BOTSVACATEDCOMET

An appeals court killed Amazon's block on Perplexity's Comet agent. Their logic: when your AI shops with your own account, you visit Amazon, not the bot's maker.

Amazon sued under the federal anti-hacking law and got Comet blocked. The Ninth Circuit vacated that order. The panel said Amazon probably cannot prove Perplexity accessed Amazon's servers.

Comet logs into the shopper's own account with saved credentials, then checks out normally. The judges noted there is almost no caselaw on who is responsible for AI agents. Ambiguity went against liability.

This is the first appellate ruling on whether agents may browse on our behalf. Site owners lost their main legal weapon against user-delegated bots. Will be interesting to watch how fast agentic shopping spreads now.

full brief & sources

⚡ Why this matters

  • First appellate precedent on whether AI agents may act on websites for their users. Every agent builder was waiting for this.
  • The CFAA, the federal anti-hacking law, was site owners' main weapon against unwanted bots. This ruling blunts it for user-delegated agents.
  • Agentic shopping and browsing just moved from legal gray zone to defensible.

🔍 What happened

  • On Aug 4-5 the Ninth Circuit vacated Amazon's preliminary injunction against Perplexity's Comet browser and shopping agent.
  • Holding: Amazon is unlikely to prove Perplexity accessed its servers under the CFAA.
  • Reason: users operate Comet. It logs into the user's own Amazon account with stored credentials and buys through normal checkout.
  • The panel applied the rule of lenity, reading the ambiguous statute against liability.
  • The opinion notes there is little to no existing caselaw on ascribing responsibility for AI agents.

💬 Smart takes

  • The Ninth Circuit panel: there is 'little to no existing caselaw directly dealing with how to ascribe responsibility for AI agents.'
  • Search Engine Journal: framed it as the CFAA case that decides whether AI agents can visit your website.
  • The Skeptic: a vacated preliminary injunction is not a merits win. Amazon still has contract and trademark angles, and this binds one circuit.

🧭 Where this goes

  1. LikelyAmazon and other retailers rewrite terms of service to target agents through contract law instead.
  2. LikelyOpenAI, Google, and Anthropic shopping agents expand faster now the hacking-law threat has faded.
  3. PossibleCongress moves to update the 1986 hacking law with explicit AI-agent language.
  4. Possibleanother circuit rules the other way, setting up a Supreme Court fight.
  5. Wild CardAmazon flips and launches paid agent access for outside shopping bots rather than fighting them.

🥄 The Spoon Take

The court just decided who the user is when an AI acts for you, and the answer is you. That one move guts the standard playbook for blocking agents. The open web may become agent-operated by default, with sites competing to serve bots instead of suing them.

🤔 Pushback

This was a preliminary ruling only; Amazon can still win at trial, other circuits may split, and contract claims survive.

Tuesday Aug 4
$3TAWS +37%$3T CLUB

The AI trade just spread to the boring giant. Amazon crossed $3 trillion after AWS grew 37%, its fastest in 18 quarters. Cloud demand, not chatbots, is where AI money lands.

The stock posted its biggest one-day jump since April 2012. Quarterly revenue crossed $200 billion for the first time. AWS now runs at $169 billion a year.

CEO Andy Jassy says the AI and chips businesses each passed $25 billion in run rate. Capex hits $220 billion this year, and he still calls capacity short of demand.

Jassy now talks about AWS as a future $1 trillion revenue business. Microsoft rallied last week on the same story. The market is repricing hyperscalers as AI utilities.

full brief & sources

⚡ Why this matters

  • AI demand is now visible in hyperscaler earnings, not just Nvidia's order book.
  • Capacity, not model quality, is the constraint every AI roadmap inherits next.
  • A $220 billion capex year resets what infrastructure spend means for the whole industry.

🔍 What happened

  • Aug 3 - Amazon's market value topped $3 trillion for the first time.
  • The shares posted their biggest one-day jump since April 2012.
  • Second-quarter AWS revenue grew 37% to $42.2 billion, the fastest pace in 18 quarters.
  • Total quarterly revenue crossed $200 billion for the first time.
  • CEO Andy Jassy: the AI and chips businesses each run above $25 billion annualized.
  • Capital spending guidance for 2026 now sits at $220 billion.

💬 Smart takes

  • Andy Jassy, Amazon CEO: "AWS is booming... our AI and Chips businesses each eclipsed run rates of more than $25 billion."
  • Tomasz Tunguz, Theory Ventures: reads the quarter as AWS finally answering the cloud-race question after years of trailing Azure's growth rate.
  • Skeptic: $220 billion of capex only pays off if AI workloads keep growing into it - a demand wobble turns the buildout into overcapacity.

🧭 Where this goes

  1. LikelyGoogle and Microsoft answer with higher capex guidance next quarter.
  2. LikelyAWS keeps reaccelerating as enterprises consolidate AI workloads onto fewer clouds.
  3. PossibleAmazon's Trainium chips take visible inference share from Nvidia by 2027.
  4. Wild CardAWS reaches Jassy's $1 trillion revenue path far faster than the decade everyone assumes.

🥄 The Spoon Take

For two years the AI trade was Nvidia plus the model labs. This quarter it broadened: the money is landing in boring cloud invoices. Whoever owns capacity owns the next phase - and Amazon just told the market it cannot build fast enough.

🤔 Pushback

Market-cap milestones are vibes - one weak AI earnings season across big tech and the $3 trillion badge reads like a top, not a baseline.