Parul Singh
@parulia.bsky.social
board partner @ Initialized. cofertility, stellarsleep, medivis, mantle bio. SWE & founder --> investor.
A pretty bold comment in Nature written by linguists, computer scientists and philosophers declaring that AGI has been achieved. "By reasonable standards, including Turing’s own, we have artificial systems that are generally intelligent. The long-standing problem of creating AGI has been solved."
After executing Alex Pretti on Saturday, ICE has shifted to primarily targeting bus stops and elementary schools in my community this week. I cannot overstate how much of the ICE activity in my community is just targeting places where little kids are.
Matt McDermott@mattmfm.bsky.social · 9mo agoVideo from this morning shows ICE agents deploying tear gas outside a Minneapolis preschool as parents shout, “This is a preschool! There’s kids here!”
Auschwitz was at the end of a process. We must remember that it did not start from gas chambers. This hatred gradually developed: from ideas, words, stereotypes & prejudice through legal exclusion, dehumanization & escalating violence... to systematic and industrial murder. Auschwitz took time.
🧵 The stickiest AI products don’t feel magical. They feel inevitable. They don’t just show off what the model can do. They erase something frustrating from your workflow—so smoothly, you can’t imagine going back.👇
1/ 🔗 Founders are sleeping on one of the most powerful uses of AI right now: Prompt chains. 🔗 Not for writing emails or fixing grammar. But for thinking. Strategically. Here’s how I used one to generate startup ideas, GTM plans, SEO strategy—and more—in under an hour 🧵
Name a founder more people should be learning from—someone whose name doesn’t get mentioned enough. I’ve been lucky to back and learn from some remarkable founders. The ones I keep thinking about aren’t always the loudest or most followed. (1/3)
If AI could take one thing off your plate today -- what would you hand over without hesitation? I’ve been asking this in 1:1s with founders. And what’s surprising isn’t that they’re automating more -- it’s what they’re automating first. (1/3)
Everyone’s watching AI demos. But the real AI startups? They’re compounding quietly. I went deep on the Lean AI Leaderboard — dozens of startups with breakout traction. Here are 10 patterns from the teams actually pulling ahead 🧵
None of these existed in 2020. Anthropic: $61.5B Cohere: $5.5B ElevenLabs: $3.15B Harvey: $5B Moonshot AI: $3B Together AI: $3.3B Figure AI: $39.5B Crusoe: $2.8B Character.AI: $10B Perplexity AI: $18B Adept AI: $20B Mistral AI: $6.2B Combined valuation: $178 billion. #MondayMotivation
Everyone jokes about the 10X engineer. But the best ones? They absolutely exist—and they’re evolving. 🧵 The New Engineering Stack in the age of AI:
VC is broken. AI killed the old playbook. Here’s what’s next 🧵
Maybe we should all post inventions and innovations for a week, “made possible by NIH” or other grants. Science is historically not good enough at self promotion and this is a storytelling war.
Eric Topol@erictopol.bsky.social · 2y agoThe tiniest ever, bioresorbable pacemaker, activated wirelessly by light, and its potential as a platform for electrotherapy nature.com/articles/s41... from work supported by NIH
In a world where software is a commodity and GPT-4 is table stakes… What actually gives startups a moat? Let’s talk about two of the most powerful—but often misunderstood—defenses: Data moats vs. Brand moats. 🧵
Embedded AI’s quietly winning—like spellcheck sneaking into Word and ruining standalone’s day. Thought UX didn’t matter? It’s everything now. Standalone apps are out there fighting gravity.
AI agents are here—CB Insights shares the wild stat that 60% of AI startups in 2025 are building self-running systems. Why now: ✅ Agents handle tasks solo 🤖 Scale without humans 🏎 Outpace LLMs fast
VC myths are killing your raise—here’s the truth: 📈 Raw traction beats polish (Notion’s buzz) ❤️ User love outpitches you (Figma’s advocates) 🔎 10 meetings > 100 (focus wins)
Big LLMs are overhyped—small, adaptive AIs are the real play: 🧬 Evolves mid-task (xAI’s tech) 🎥 Redefines creative (Runway’s films) 🎉 Quietly wins (no fanfare)
AI’s not a tool—it’s a boss. Jasper’s $100M ARR in 2024 proves it: ✍️ Writes ads solo 📈 Funds its growth 🛞 Humans just steer
RL’s stealing the AI show—ArXiv says it cuts costs 40% vs. LLMs. Why it’s huge: Adapts mid-task (Tesla’s Optimus) Outsmarts static models Wins where Big Tech lags
VCs are pickier than ever—PitchBook says Series A raises now take 5-7 months. Stop the grind: 👓 Focus beats volume 🪝 Lean pitches hook fast 👯 Network trumps cold emails
VCs are done blindly chasing growth—First Round says 70% now prioritize capital efficiency. Here’s why it's huge: 💰 Revenue > hype 🥇 Lean teams win 🤑 Profit signals trust The hidden truth? Relying on more funding adds risk. Capital independence is the quiet edge. Not sexy, but it works.
Big LLMs are over—ArXiv says micro-models like Mistral’s Mixtral 8x7B beat them on niche tasks with 10x less compute. Why it matters:
Him: I've been reading a lot of post-apocalyptic stories lately. Me: Oh, you mean the newspaper?
AI-native companies create compounding moats: Data flywheels, model improvements, and automation loops. SaaS? Mostly UI with APIs. Big difference.
This is spending I would have been happy for my tax dollars to support. Local farms + schools and food banks: seemed win/win www.politico.com/news/2025/03...
USDA cancels $1B in local food purchasing for schools, food banks
States have been notified that they will not receive 2025 funding for schools to buy food from nearby farms.
politico.com
New world order: Software = commodity? New platforms > old ones GTM + data = moats Early enterprise deals = consulting contracts Tiny teams -> profitable fast No one wants to IPO bc public markets are fickle, risky & onerous. Founders know VC rules & can fund each other. Growth VC may be redundant.
Venture dynamics are tricky for founders to navigate, until they’ve been through multiple rounds of funding and sometimes an acquisition. 👍🏽 10 rules of thumb for savvy founders: 🧵
My mother taught me everything about resilience, execution, and capital efficiency—long before I ever worked in startups. She never thought of herself as an entrepreneur. But in every way, she was one. 🧵
