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šŗ Judge forces Google to share AI search secrets šš
PLUS: Salesforce fires 4,000 humans, keeps the AI

Welcome, humans.
LinkedIn influencers are now using Googleās new image model, Nano Banana, to fake celebrity selfies. We're officially in the āpics or it didn't happenā doesn't work anymore era⦠Exhibit A:
The founder, Kevin Xu, posted a remarkably convincing selfie with BLACKPINK's Lisa, complete with a whole backstory about bonding over bubble tea flavors. His friend got āEXTREMELY jealousā before finding out it was AI-generated.
Creating a completely convincing fake now takes literally seconds and zero technical ability. Luckily, Nano Banana images use Google's invisible SynthID watermark that's supposed to help detect fakes. While that watermark is awesome, it won't matter much when bad actors can just use open-source models without any safeguards.
The Reddit discussion around this also had the perfect dark joke about this whole situation: the guy warning about fake content online apparently has a history of allegedly scamming his own community. Sometimes the real red flag isn't the AI-generated contentāit's remembering that humans are already plenty good at deception, with or without robots.
Hereās what happened in AI today:
A judge ordered Google to share search data with rivals as monopoly remedy.
Anthropic raised $13B at $183B valuation with 5x revenue growth.
Ukraine deployed AI-guided drone swarms in combat.
Salesforce cut 4K support jobs after AI agents took over half the convos.
P.S: Weāll be doing a live podcast this Thursday at 10am PST! Save this link to watch.

Google Dodges the Breakup BulletāBut AI Search Rivals Just Got a Giftā¦
Remember when everyone thought Google might have to sell Chrome? Well, a judge just said ānahā to all that, and Google's stock immediately jumped 7.8% in relief.
However⦠while Google keeps its browser baby, it now has to start sharing its secret sauce with competitors. And that's exactly what AI search companies have been waiting for.
The ruling in plain English: Judge Amit Mehta basically told Google: āYou can keep Chrome, but you have to play nice with others.ā No more exclusive deals that lock out competitors (goodbye, exclusivity with Apple!), and Google must share a one-time data snapshot with qualified rivals, plus license some search results for five years.
Google can still pay Apple that sweet ~$20B yearly to be the default search⦠they just can't demand to be the ONLY option anymore (this is big for OpenAI and Perplexityās upcoming AI browsers).
Why AI search companies are celebrating:
Data is gold: That āone-time snapshotā of Google's search data? It's years of index-building compressed into an instant download. Perplexity and ChatGPT could suddenly level up their answer quality overnight.
The playing field tilts: Without exclusive deals, AI search tools can finally compete for those prime default spots on phones and browsers.
Perfect timing: One in four web users already uses AI chatbots for search. This ruling could (and in our view, definitely will) accelerate that shift.
Fun fact: Perplexity was so confident about this outcome, they offered $34B+ to buy Chrome before the rulingānearly double their own valuation! Talk about betting the farm⦠that they didnāt actually have⦠so like, talk about betting someone elseās farm!
The reality check: Critics say this is too soft. A single data snapshot won't magically make DuckDuckGo the next Google. And Google's appeal could delay everything.
But Judge Mehta acknowledged the elephant in the room: āThe emergence of generative AI has changed the course of this case.ā Translation: Why break up Google when ChatGPT might eat their lunch anyway?
What happens next: The six-year remedy clock starts after September 10's final filing. Googleās appealing (obviously). And then thereās that Virginia court who found Google held an illegal adātech monopoly, with remedies hearings slated for fall.
Bottom line: Google avoided the nuclear option, but AI search just got rocket fuel. Whether that's enough to dethrone the king? We'll find out when Perplexity and OpenAI get their hands on that data⦠and whatever deals they make with Apple for their own browsers...

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Prompt Tip of the Day.
Your team doesn't need more promptsāthey need a prompt protocol. AI expert Allie K. Miller just dropped a reality check that hit us right in the feels: when every team writes prompts their own way, you get chaos (instead of business optimization).
Think about it: fragmented prompting shows up as rework, brand drift, and compliance gaps. Basically, it's impossible to measure results when everyone's doing their own thing.
Miller's solution? Establish a shared prompt protocol where every team attaches the same strong context and resources (docs, links, tools) so your AI outputs actually line up across the organization.
She's synthesized prompting guides across GPT-5, o-series, and Claude into a comprehensive 23-page bundle that helps teams get better results.
Our favorite insight: The problem isn't that your prompts are bad⦠it's that your prompts are inconsistent. When teams align on context and structure, the AI magic actually works at scale.

Treats to Try.
*Asterisk = from our partners. Advertise in The Neuron here.
*Guidde converts your screen recordings into professional video tutorials with AI-generated step-by-step narration and voiceover in 100+ languages.
Amber committed $10M+ for AgentFi development, focusing on autonomous AI agents for trading and governance on blockchain.
Lens Live from Amazon is a new visual search tool letting users buy products by pointing their phone at real-world items.
WordPress's Telex turns your text descriptions into custom WordPress blocks, delivering ready-to-install elements like sliders and galleries without coding (read more).
Receiptor AI extracts, categorizes, and organizes receipts and invoices from email and WhatsApp, syncing directly with QuickBooks and Xero ($19/month).
ElevenLabs SFX v2 now generates higher-quality sound effects from text prompts and creates seamless looping audio, so you can add 11-minute rain loops to your audiobook or endless coffee shop ambience to your productivity appāfor some samples to try, check out Linus Ekenstamās SFX prompts.

Around the Horn.

Full tweet is a banger; hereās the original article.
Anthropic raised $13B in Series F funding, reaching a $183B valuation with revenue jumping from $1B to $5B annually.
OpenAI acquired product testing startup Statsig for $1.1B in an all-stock deal, appointing Statsig CEO Vijaye Raji as its new CTO of Applications.
Salesforce cut 4,000 customer support jobs after implementing AI agents that now handle half of all customer conversations.
Apple's lead robotics AI researcher Jian Zhang left for Meta, joining at least 12 AI experts who departed Apple for competitors in 2025.
AI notetaking startup Plaud achieved profitability by focusing on solving concrete business problems rather than providing thin AI wrappers.
OpenAI engaged in legal battles with Elon Musk while lobbying for federal AI regulations over stricter state-level oversight.

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Midweek Wisdom
Military AI reaches new frontier: Ukraine became the first to routinely deploy AI-guided drone swarms in actual combat, enabling coordinated groups to make collective strike decisions independently.
Education debates AI's role: This thoughtful analysis from Pablo RodrĆguez SĆ”nchez explores why calculus education remains valuable in the AI age, arguing the real benefit isn't calculations but developing reasoning skills to know when to trust AI outputs.
AI research resurfaces old concepts: World models are actually an old concept mounting a comeback as researchers seek solutions to neural network brittleness, with studies showing how LLMs fail catastrophically when environments change even slightly.

A Catās Commentary.


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