Jonathan Dunlap

Life is a temporary celebration of something larger and eternal. We walk in the shadows of countless generations before us that gave us this shared reality to make our own. Human wealth is not measured in abstract numbers.. but in experience, love, and in new ideas imagined.🍄

@geminicli Faster startup times is so much better. Thank you! The shorthand for skills is great DX too. gj!

Gemini CLI v0.34.0 Release Notes📝 • Faster startup times⚡️ • Skills are now invocable via /skill-name🎓 • Just-in-time loading of GEMINI.md files in sub-dirs🔁 • Customize footer/statusline with /footer command👣 Read full notes below 👇

We are also releasing self-contained lecture notes that explain flow matching and diffusion models from scratch. This goes from "zero" to the state-of-the-art in modern Generative AI. 📖 Read the notes here: arxiv.org/abs/2506.02070 Joint work with @EErives40101.

@rai_inst @nvidia It's giving Wheeler vibes from the Return to Oz

It was great to see our name amongst the other “AI Native” companies during @Nvidia’s #GTC keynote. NVIDIA Isaac™ Lab helps us train reinforcement learning policies that enable the UMV to drive, jump, flip, and hop like a pro!

full rewritten from scratch, now executed (and secured!) inside a dynamic worker, a lot lighter and powerful. much, MUCH more to come. (sharing here early because you know how we do)

@PaulAustin3w This was far too wordy without substance. But it was food for thought: What if sperm and free testo are actually reducing longevity in order to prepare for procreation? Roses bloom more and live longer when they are pruned back.

Two psilocybin macrodoses. Sperm motility drops 51%. Free testosterone drops 24%. And it's the same mechanism that improved every other biomarker Bryan Johnson measured. This is the pattern from his first experiment all over again. Last time, glucose, inflammation, and cortisol all moved together. Now testosterone, SHBG, and fertility markers are all moving together too. Psilocybin doesn't optimize individual metrics. It reorganizes the system upstream, and the body decides what gets priority. Bryan even buried the clue in his own post: 5-HT2A receptors on sperm. The same receptor driving the neuroplastic reset is directly signaling reproductive biology. These aren't "complicated results." This is one mechanism expressed across every system it touches. Psilocybin mushrooms don't do trade-offs. They reorganize. Some numbers go up, others go down, because the system is rebalancing, not optimizing one variable at a time. Bryan's running the most quantified psychedelic experiment in history. And the data keeps pointing to the same thing: you can't separate what psilocybin does to your brain from what it does to your body. It was never a longevity drug. It's a system tuner.

LLM based AI is NOT conscious. I co-founded a company literally called Sentient, we're building reasoning systems for AGI, so believe me when I say this. I keep seeing smart people, people I genuinely respect, come out and say that AI has crossed into some kind of awareness. That it feels things, that we should worry about it going rogue. And i think this whole conversation tells us way more about ourselves than it does about AI. These models are wild, i won't pretend otherwise. But feeling human and actually having inner experience are completely different things and we're confusing the two because our brains literally can't help it. We evolved to see minds everywhere and now that wiring is misfiring on language models. I grew up in a philosophical tradition that has thought about consciousness longer than almost any other, and this is the part that really frustrates me about the current conversation. The entire framing of "does AI have consciousness?" assumes consciousness is something you build up to by adding more layers of complexity. In Vedantic philosophy it's the opposite. You don't build toward consciousness. Consciousness is already there, more fundamental than matter or energy. Everything else, including computation, is downstream of it. When someone tells me AI is "waking up" because it generated a paragraph that felt real, what they're telling me is how thin our understanding of consciousness has gotten. We've reduced a question humans have wrestled with for thousands of years to "did the output sound like it had feelings?" It's math that has gotten really good at predicting what a conscious being would say and do next. Calling that consciousness cheapens something that Vedantic, Buddhist, Greek and Sufi thinkers spent millennia actually sitting with. We didn't build something that thinks. We built a mirror and right now a lot of very smart people are mistaking the reflection for something looking back.

@sandeepnailwal 100% An AI is just like a super complicated marble maze. No matter how complicated the maze, there is still no more conscious awareness in the maze as the brick walls themselves contain (which is little to none, debatably). I'd love to discuss more via DM. x.com/JonathanRoseD/…

@VictorTaelin how is Pi different from like OpenCode or Aider?

Ok so I thought that was a dumb gimmick but now I'm completely sold on how pi is a self-modifiable software. It literally knows how to modify itself very cleanly and that's extremely useful in practice I'm not using Codex / Claude Code anymore Bend2 should definitely be like this! I mean, constructed in a way that AI's can easily navigate it and know how to modify it to add any feature the user wants. Perhaps we're past the era of open source software and into the era of forkable software, where the most hackable project wins?

Reminder that new apps have to me EXTREMELY useful to a target audience, otherwise you're new project will just disappear in the noise of social media.

@OfficialLoganK @GoogleAIStudio Gemini Flash 3 Preview has been sorta chaotic for me. Any chance that Flash 3 final release will get much more fine tuning? For example, it can tend to get into circular loops even with just 60k context.

Tomorrow we will unveil the all new vibe coding experience in @GoogleAIStudio, the team has spent 4 months rebuilding it all from scratch and smoothing out rough edges to help everyone bring their ideas to life. This is a big step forward, but just the start : )

Someone built an open-source Postman alternative 60MB RAM, zero login.

@Polkadot Where is the exact list?

SEC post for ref: sec.gov/newsroom/press…

The SEC issued, with related guidance from the CFTC, its interpretation on certain crypto assets. In the release, the SEC identifies Polkadot (DOT) as a digital commodity, not a security. DOT is listed alongside 15 other digital commodities, including BTC, ETH, and others.

@bunjavascript @saltyAom Great work on reducing the install on Linux! It's extra helpful for containers.

Bun v1.3.11 - Fixes 105 issues (addressing 307 👍) - 4 MB 🤏 on Linux x64 - Bun.cron for OS-scheduled functions - Bun.sliceAnsi is like .slice but ansi & grapheme-aware - Numerous security & bug fixes Thanks to 15 contributors! bun.com/blog/bun-v1.3.…

Good news for all those hot sauce connoisseurs like me! 🌶️

@OfficialLoganK Reducing the tier 2 spend to $100 is much more reasonable. My preference would be $80 for my home use, but I'll take this news!

We just shipped a bunch of stuff to make it easier to scale with the Gemini API: - Automatic tier upgrades - Tier 1 -> Tier 2 now happens much faster (30 days post payment -> 3 days) and with less spend ($250 -> $100) - New billing account caps on each tier to limit over spend

🚨 This Python tool just made vector databases optional for RAG. It's called PageIndex. It reads documents the way you do. No embeddings. No chunking. No vector database needed. Here's the problem with normal RAG: It takes your document, cuts it into tiny pieces, turns those pieces into numbers, and searches for the closest match. But closest match doesn't mean best answer. PageIndex works completely different. → It reads your full document → Builds a tree structure like a table of contents → When you ask a question, the AI walks through that tree → It thinks step by step until it finds the exact right section Same way you'd find an answer in a textbook. You don't read every page. You check the chapters, pick the right one, and go straight to the answer. That's exactly what PageIndex teaches AI to do. Here's the wildest part: It scored 98.7% accuracy on FinanceBench. That's a test where AI answers real questions from SEC filings and earnings reports. Most traditional RAG systems can't touch that number. Works with PDFs, markdown, and even raw page images without OCR. 100% Open Source. MIT License.

I claim that LLMs are roughly as conscious as a PlayStation. We cannot speak -reasonably- about an inner qualia 'within' a PS. LLMs have no meaningful inner experience because we 100% know their model is just a representation of qualia. Reading History != Experiencing History!

Introducing Trellis for Kimi K2 Thinking. It's post-training code that's 50x faster than the best single-node open-source version and 2x cheaper than training APIs. After safety testing, we're open-sourcing it, giving builders the best tools to customize a frontier model. 🧵

json-render now supports YAML as a wire format JSONL needs a full element before rendering YAML is valid at every prefix, going from element-level to property-level 💨 YAML looks like source code to LLMs And we use 3 standards they know: JSON Patch, Merge Patch, Unified diff