Who are Tier 1 VC funds? (updated) Sequoia Benchmark a16z Founders Fund Khosla Accel Lightspeed General Catalyst NEA Kleiner Perkins Index Thrive GV USV Bessemer Greylock First Round Insight Contenders / rising stars / sector-dependent: Menlo Craft 8VC Sutter Hill Conviction Elad Gil Neo Eclipse HF0 Ribbit Lux Redpoint Forerunner Coatue Still not ranking them, and sector/stage matters a lot. This reflects comments from my last post. Who is still obviously missing or in the wrong spot?

The New Media Landscape Attention. Distribution. Power. Taste. This is how the future of media will be built and there are already thousands of creators ahead of the curve, doing just this. We've just published the ultimate map covering creators building new media across tech, each one who you should be paying attention to, including: Going independent: @alexeheath, @EricNewcomer, @Emily_Sundberg, @TaylorLorenz, and @alexrkonrad. Startups & Venture: @TurnerNovak, @saranormous, @MollySOShea, @eladgil, @eostudiojiyoon, @siliconvalleymm, @bhalligan, @cleoabram, @jaltma, and @tbpn. Documentaries: @willsclips_. AI: @clairevo, @natebjones, @danshipper, @petergyang, and @azeem. Money & Careers: @cherie_luo, @benln, and others. The Creator Economy: @jlouderb, @ColinandSamir, @kyurieff, and @jasmineaenberg. Business: @thesamparr, @ShaanVP, @gregisenberg, @simonsquibb and others. Product: @lennysan, @emilykramer, @Kevin_Indig, @ElenaVerna, @majavoje and others. We just launched a brand new site where you can find the latest new media channels. This will become the largest and go-to home for new media creators over time: Don't see yourself? You can add yourself to the site now!

Meta illegaly downloaded 80+ terabytes of books from LibGen, Anna's Archive, and Z-library to train their AI models. Aaron Swartz downloaded 70 GBs of articles from JSTOR (0.0875% of Meta) in 2010. Faced $1 million in fine and 35 years in jail. Took his own life in 2013.

How are consumers using AI in their personal lives? New analysis across ~40k Claude conversations 👇 The biggest category is health / wellness, followed by professional / career. There's a big dropoff to #3# (relationships).

Ramp's monthly Top Software Vendors is one of the best signals for where to work, where to invest, or who to sell to. Here are May's breakout + fastest growing vendors. We observe that @tryramp customers with high AI intensity grow revenue ~4x faster. Great vendor selection is a critical part of being on the right side of the gap. Every month, @arakharazian publishes the playbook.

A few lesser-known products I love and use a ton: 1. for screenshots 2. replaced Loom for me, so clean 3. for frequent snippets 4. for emojis 5. for focus

of all RL environment companies in this market map, @benchflow_ai is the only one > angel funding only > no yc / a16z accelerator > no phd / former lab exp / no formal pedigree also solofounder yet we shipped two top tier researches, got 8-fig acquisition offers from unicorns

Jane Street hired this junior at $220k-$600k /year because he uses AI to analyse TRILLIONS of data in this 1-hour lecture - he show how to research trillion of data points thanks to his machine Bookmark & watch it, instead of Netflix to learn how to do the same!

We’ve agreed to a partnership with @SpaceX that will substantially increase our compute capacity. This, along with our other recent compute deals, means that we’ve been able to increase our usage limits for Claude Code and the Claude API.

I got married this past weekend so I did what any rational @AnthropicAI employee would do and had Claude Code analyze 12 years of iMessages with my wife, then Claude Design used that data to whip up a website for our guests in just minutes.

After reading @AnthropicAI blog on Agentic AI. spent some time to create a mental model to understand how to design, and explain Agentic AI architecture Define a task/goal - what you want agent to do achieve? 1. Orchestration layer : it is your control panel 3. Agents layer: this layers made of agents (multi /specialised) 4. tools: your tools are made of this layer (web search, DB, APIs etc) 5. memory: this is the brain to store information - long or short term etc. 6. monitoring : This is the most crucial to monitor each and every step 7. Reliability & failure management: identify errors, retry, fallback, involve human 8. Governance and security: compliance, audit, auth etc.

Grocery is a $1.5T domestic market — bigger than restaurants, bigger than hotels. But it's running on technology from the Reagan administration. We just raised a $22M Series B for @VoriHQ to make every supermarket in America autonomous.

Introducing the ChatGPT Futures Class of 2026—26 honorees from the first graduating class to have had ChatGPT throughout all four years of university, who used AI to: - Map 1.5M previously unknown objects in space - Detect disaster survivors through walls and debris - Make 100M+ galaxy images searchable - Preserve endangered languages - Build infrastructure to reroute 5M+ pounds of unsold inventory from landfills