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Mati reports that 11 Labs revenue growth accelerated sharply, reaching $100M ARR in 20 months, then $200M in 10 months, and $300M in 5 months.
Mati says 11 Labs now has 600 employees and maintains culture by embedding engineers in non-engineering teams like legal and talent for automation and security checks.
Jason Calacanis critiques LinkedIn for not building automation tools for premium users, arguing it encourages scraping from offshore third-party services.
Jason Calacanis asserts Apple's lawsuit against OpenAI is credible and serious because Apple would not file frivolous front-page litigation.
Jason Calacanis calculates Johnny Ive's OpenAI stake could be worth $10-20 billion based on a $6.4 billion all-equity acquisition at a $300 billion valuation.
Elon Musk announced Grok 4.5 on July 8th. Meta released Muse Spark on July 9th, positioning it within its apps like WhatsApp and Messenger. Alex Gleas argues the frontier is no longer a duopoly; four American labs now operate at the optimal frontier.
Peter Diamandis believes distribution is the new moat for AI models. Meta has 3.56 billion daily users, Google reaches 2.5 billion globally, and OpenAI has a billion monthly active users.
Apple sued OpenAI for trade secret theft, alleging OpenAI stole confidential files and code names to build its AI hardware with Johnny Ive. Salim Mayel thinks Apple filed in Northern California because it is desperate to slow competitors while catching up.
Nathaniel Whittemore notes Google's AI strategy appears increasingly messy post-IO, yet its massive user ecosystem and Open AI's enterprise shift may grant Google a dominant position in consumer AI regardless.
Google's product sprawl - including Omni, Spark, Anti-Gravity, Flow, Pix, and multiple Gemini tiers - creates user confusion, but its distribution via 900 million Gemini app users may render that confusion irrelevant for average consumers.
Whittemore recounts Google's AI history: the 2014 DeepMind acquisition created internal fragmentation, Bard's 2023 failure, Gemini's late 2023 consolidation under Hassabis, the 2024 AI Overviews debacle, and 2025's breakout with Notebook LM audio.
Vic Sharma cites the convenience of WeChat payments in China and the community demand, including a tweet from Jack Dorsey, as key drivers for building Radar.
The Radar team aims to keep the app lean, avoiding complex wallet features like tap-to-pay or debit card integration, which are restricted by Apple/Google Pay systems and would bloat the core social payments focus.
Mark Zuckerberg tracked employee keystrokes to capture data that could replicate their cognitive functions, enabling AI to replace their jobs.
Brad Gerstner reveals Trump Accounts launched on July 4th, creating over 1.5 million accounts in 24 hours and seeing over $1 billion in deposits.
Meta's in-house chip program is on track for first production in September. The company plans to deploy chips in its data centers to reduce spending on NVIDIA and AMD and aims to design a new chip every six months starting next year.
Nathaniel Whittemore reports Meta's Muse Spark 1.1 benchmarks show competitive performance with Opus 4.8 and GPT-5.5, with strengths in personal agentic tasks and significant cost advantages.
Nathaniel Whittemore concludes that all major model releases this week emphasized cost and efficiency, signaling labs now compete on a different vector beyond pure frontier performance.
OpenAI released GPT 5.6 Saul as its flagship model, priced at $5-$30 per million tokens, alongside Tara and Luna tiers, outperforming Claude on the Terminal Bench test.
Bennett notes a synchronized release week for frontier AI models from OpenAI, Anthropic, XAI, and Meta, while Google's Gemini 3 remains the oldest top model.
Meta is testing AI glasses that continuously record audio and take photos every few seconds.
James Cridland highlights an apparent exclusive partnership between Apple Podcasts and Acast on video, citing leaked stats and Acast's prominence in Apple's 'Creators We Love' feature.
James Cridland states the Amazon DSP handled $60 billion last year and now enables advertisers to buy podcast ads programmatically through Spotify.
Ryan Williams notes only 10% of podcasts CarCurious tracks use Podcasting 2.0 chapters, attributing most of that adoption to Buzzsprout.
Cerebras has a $25 billion backlog from hyperscale customers like OpenAI, Anthropic, Google, and Microsoft who are ordering capacity to meet demand that already exists.
Andrew Feldman argues tech giants build their own AI chips not to compete but to avoid dependency, echoing hyperscalers’ previous experience with Intel.
ByteDance's C Dance 2.5 video model extends clip length to 30 seconds, adds 4K resolution, and supports 50 input references using image, video, and audio.
Adam Parker sees energy as a potential gating factor for AI growth but argues it prolongs the cycle's periodicity by preventing overheating. He views utilities, power, and energy companies as beneficiaries within the AI revenue chain.
OpenAI's tiered pricing and naming structure is confusing compared to Anthropic's clearer Sonnet/Opus/Fable tiers, especially for a potential larger, more expensive GPT-6.
Theo ported the 'Executive' project to Rust and Spelt using a loop, which alone cost $65,000 in API usage and consumed 100 billion tokens.