Bryan 🐬

Here's a bunch of random 30 US-available random stocks I like today and why: 1. $INTC - America's hope for foundry, national security 2. $MRVL - scales rev from future maia asics and add ons like cpo, they do everything lost count 3. $TSM - backbone of semis/ai 4. $COHR - They do everything vertically integrated + captures optical cycle 5. $RKLB - the final frontier of space will be around 5 years from now and 20 years from now. 6. $DRAM - memory exposure for samsung/sk hynix 7. $AVGO - hyperscalers dont like nvidia gpu tax 8. $AMZN - nobody can compete against the overnight shipping of toilet paper. robotics will lower opex over time 9. $ARM - AGI CPUs scale revenue quite a bit over the next decade 10. $TSEM - you're going to need a foundry for light based stuff 11. $IBIT - bitcoin, we all know by now 12. $NBIS - i think it's the next AWS. Also they do self-driving cars with uber, own scaling DB companies, data labeling. It's almost like a mini Google. 13. $GOOGL - youtube is not going away, gemini is great. they're vertically integrated with TPUs and fund buildout with operating income so i like it. 14. $AMKR - super facilities coming online in late 2027-2028. benefits from made in america 15. $HOOD - i dont like short term, but long term i'm a fan of Robinhood since they captured retail + have more products like banking, etc that they're scaling up. product innovation is wild. 16. $CRCL - I happen to really like stablecoins and see them as the future for both payments/holding (depends on clarity act) 17. $META - people aren't going to stop using instagram or whatsapp, or others anytime soon. 18. $LITE - $GOOGL TPU exposure decently high part of BOM. As long as Google's AI program keeps running I think $LITE will do well. 19. $LPTH - Germanium and China export controls will always be an issue so US made engineered alternatives will always be important 20. $FN - Someone needs to assemble optical stuff 21. $JBL - same as above, but added with ip from Intel's SiPh acqusition so might end up like innolight? 22. $MP - American rare earths program is extremely important, similar to $INTC national security risks 23. $HIMS - Okay here me out they just acquired a ton of companies, and at $19 they have global DTC channel. short sellers really hate this company, but I think it's actually promising as a contrarian long 24. $SMTC - LRO/LPO transition 25. $POWL - US alternative to hammond for switchgear DC type bottleneck 26. $VPG - Humanoids will be a thing down the road maybe 2027-2028, this makes the sensors. 27. $MOG.A - Feels like i see them everywhere in robotics, to spacex supply chains 28. $MSFT - At $375, one day we'll look back and see this as a buying opportunity. 29. $CVX - oil might crash after war but these oil companies are going to be extremely important, especially when Venezulea is a goldmine. 30. $XLU - i think rate cuts might be back online, we need power/grid for AI so these names will always be improtant from $CEG to $NEE Just throwing out other thoughts aside from $AAOI and $AEHR.

leopold aschenbrenner portfolio is the new alt season everytime liquidity returns to the market

Strait of Hormuz: A CitriniResearch Field Trip The Field Report from Analyst #3 is live. citriniresearch.com/p/strait-of-ho…

LLM Knowledge Bases Something I'm finding very useful recently: using LLMs to build personal knowledge bases for various topics of research interest. In this way, a large fraction of my recent token throughput is going less into manipulating code, and more into manipulating knowledge (stored as markdown and images). The latest LLMs are quite good at it. So: Data ingest: I index source documents (articles, papers, repos, datasets, images, etc.) into a raw/ directory, then I use an LLM to incrementally "compile" a wiki, which is just a collection of .md files in a directory structure. The wiki includes summaries of all the data in raw/, backlinks, and then it categorizes data into concepts, writes articles for them, and links them all. To convert web articles into .md files I like to use the Obsidian Web Clipper extension, and then I also use a hotkey to download all the related images to local so that my LLM can easily reference them. IDE: I use Obsidian as the IDE "frontend" where I can view the raw data, the the compiled wiki, and the derived visualizations. Important to note that the LLM writes and maintains all of the data of the wiki, I rarely touch it directly. I've played with a few Obsidian plugins to render and view data in other ways (e.g. Marp for slides). Q&A: Where things get interesting is that once your wiki is big enough (e.g. mine on some recent research is ~100 articles and ~400K words), you can ask your LLM agent all kinds of complex questions against the wiki, and it will go off, research the answers, etc. I thought I had to reach for fancy RAG, but the LLM has been pretty good about auto-maintaining index files and brief summaries of all the documents and it reads all the important related data fairly easily at this ~small scale. Output: Instead of getting answers in text/terminal, I like to have it render markdown files for me, or slide shows (Marp format), or matplotlib images, all of which I then view again in Obsidian. You can imagine many other visual output formats depending on the query. Often, I end up "filing" the outputs back into the wiki to enhance it for further queries. So my own explorations and queries always "add up" in the knowledge base. Linting: I've run some LLM "health checks" over the wiki to e.g. find inconsistent data, impute missing data (with web searchers), find interesting connections for new article candidates, etc., to incrementally clean up the wiki and enhance its overall data integrity. The LLMs are quite good at suggesting further questions to ask and look into. Extra tools: I find myself developing additional tools to process the data, e.g. I vibe coded a small and naive search engine over the wiki, which I both use directly (in a web ui), but more often I want to hand it off to an LLM via CLI as a tool for larger queries. Further explorations: As the repo grows, the natural desire is to also think about synthetic data generation + finetuning to have your LLM "know" the data in its weights instead of just context windows. TLDR: raw data from a given number of sources is collected, then compiled by an LLM into a .md wiki, then operated on by various CLIs by the LLM to do Q&A and to incrementally enhance the wiki, and all of it viewable in Obsidian. You rarely ever write or edit the wiki manually, it's the domain of the LLM. I think there is room here for an incredible new product instead of a hacky collection of scripts.

Lazarus Group is the collective name for all DPRK state sponsored cyber actors. The main issue is everyone groups them all together when the complexity of threats are different. Threats via job postings, LinkedIn, email, Zoom, or interviews are basic and in no way sophisticated (DPRK groups: DPRK IT workers, Contagious Interview, Dangerous PW/Bluenoroff/SapphireSleet). The only thing about it is they’re relentless. If you or your team still falls for them in 2026 you’re very likely negligent. The ONLY two DPRK groups you will see regularly doing sophisticated crypto attacks are TraderTraitor (Bybit/DMM) & AppleJeus (Radiant/Drift) I always see companies write about how they stopped the most elaborate attempt by Lazarus Group and it ends up being a basic attempt by a low iq subgroup….

Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: goo.gle/4bsq2qI

NATO is testing live cockroaches as AI-powered spy drones. Incredible AI engineering, but also something I kinda wish I hadn't learned about: > Swarm Bio-tactics wired real cockroaches with electronic backpacks containing AI hardware, radios, cameras, and microphones. > Cockroaches are steered by sending electrical signals directly into the insect's nervous system > They can crawl through rubble, tunnels, and spaces where drones can't fly, and troops shouldn't go, transmitting data back the entire time. > Within one year, they went from concept to field-validated systems with paying NATO customers, including the German military. The qualities that make them useful for military recon (small, silent, nearly undetectable) are exactly what make them creepy. ...International laws weren't written with cyborg insects in mind.

Karpathy scored every job in America on AI replacement risk. Then he deleted it. It went viral Last night. Elon replied. News outlets picked it up. So I brought it back to life. Cloned the entire repo to play with before it went down. Every file. The scoring data, the full pipeline, the interactive visualization. All of it. It's back up here: github.com/JoshKale/jobs The data was too noteworthy to let vanish. 342 occupations scored 0-10 on how much AI will reshape them. Average exposure across the entire US economy: 5.3/10. If your job lives on a screen, it's worth taking a look.

Introducing Cline Kanban: A standalone app for CLI-agnostic multi-agent orchestration. Claude and Codex compatible. npm i -g cline Tasks run in worktrees, click to review diffs, & link cards together to create dependency chains that complete large amounts of work autonomously.

Loaded up the truck on CRCL today. Wrote the pitch at $70, saw it go to $50, didn't enter & watched it rip to $130 without me and now a knee jerk reaction from the market to dump it to $100 for a god given entry CRCL is one of those stocks with a pretty strong adverse reaction. Lots of bears with very valid points: - Tether IPO - Losing $ to CB distribution - CRCL team don't execute like HOOD / has negative optics similar to CB But IMO that just means more room to grow if those levers get changed - it's adversely priced for failure right now, which makes the wall of worry that much steeper to climb. The bull case is real - This bill has ST pain for USDC (Assumed TVL loss due to farmers) but has LT stronger outcome - Second order effect = Can re-negotiate CB distribution ++ gives leverage to CRCL for the negotiations - Stablecoins as still the best thesis (Even Druckenmiller is bullish stablecoins) ; CRCL remains the only pure play IMO CRCL boils down to 2 levers at this point in time - USDC Growth Rate and % Cut to Coinbase; modelling that out (Claude is pretty insane) you get to build a pretty good bear / base / bull scenario. At the most bearish scenario you basically had CRCL trading at mid ~50s (30x multiple) which basically means the market was pricing in the worst case scenario for CRCL Anyways, all in all I think it's worth a punt

Universal Accounts are now 1-year old... and so, we're leveling up. We're introducing full EIP-7702 support, allowing you to make any app chain-agnostic. Works out of the box with @privy_io, @dynamic_xyz, and @magic_labs. Connect an EOA to make it Universal. Zero migration required. Pay gas with any token. Deposit from any chain, Solana or EVM. Seamless cross-chain txs. In short, forget about chains. Start building 👇

🛢️There's a lot being said about oil prices right now, so I put this chart together to help explain the major crude benchmarks and why they're all behaving differently. ⚪Brent (white) — The world's "default" oil price. Most global trade is priced off this. When the news says "oil is at $108," they mean Brent. 🟡WTI (yellow) — The U.S. benchmark, based on crude delivered to Oklahoma. It's the lowest line on the chart because American oil doesn't need to transit the Strait of Hormuz. 🟢Murban (green) — Crude from Abu Dhabi, delivered at Fujairah port, which sits just outside the Strait. Even though it technically doesn't have to pass through the chokepoint, drone strikes have hit Fujairah and nearby ports, pushing insurance and shipping costs up. 🟣Oman (purple) — The key benchmark for heavier crude sold into Asia. Many refineries in China, Japan, and South Korea are built specifically to process this grade. It's the highest line on the chart because Asian buyers are competing fiercely for a shrinking pool of cargoes. 🔴Dubai (red) — Used to price most long-term Gulf→Asia export contracts. It tracks alongside Oman as a measure of how hard Asian markets are being squeezed. The story isn't any single price — it's the gap between them. In late February these five lines were within $6 of each other. Now the spread between WTI and Oman is over $50. Since the U.S.-Israeli strikes on Iran began Feb 28, the Strait of Hormuz has effectively been closed. Daily transits have fallen from a historical average of ~138 ships to fewer than 5. The IEA has called it the largest disruption to global energy supply in history. Iran's IRGC has warned that not "a litre of oil" will pass for U.S. allies, while selectively allowing some Iranian, Indian, and Pakistani tankers through. Saudi Arabia is rerouting oil to its Red Sea port at Yanbu, and the UAE is using a pipeline to Fujairah — but combined pipeline capacity is only 3.5–5.5 million barrels/day vs the 20 million that normally flows through the Strait. Meanwhile, the 400 million barrel emergency reserve release by IEA members covers roughly 4 days of global consumption. Japan's refiners get ~95% of their crude from the Gulf. China receives 45% of its oil via Hormuz. South Korea, India, Thailand, Pakistan, and Bangladesh are all severely exposed. The wider the spread between the Asian benchmarks and Western ones on this chart, the more you're seeing that pain in real time.

S&P Dow Jones Indices and trade[XYZ] have joined forces to launch the first official S&P 500 perpetual contract, available exclusively on Hyperliquid. For 69 years, the S&P 500 has been a defining reference point for global finance. Until now, access to that benchmark has been shaped by market hours, intermediaries, and geography. Today, that changes. The S&P 500 perp is now available 24/7/365, anchored by the official index data required for deep liquidity and institutional confidence at scale.  SPDJI helped define modern indexing. They are stewards of an iconic benchmark, the standard against which portfolios across the globe are measured. We are honored to bring that legacy on-chain. Trade[XYZ] is bringing the world's most iconic assets towards a future of global, continuous markets — a future powered by Hyperliquid.

If sentiment flips positive here it seems like crypto has the most torque

The holy grail of terminals is here. UniversalX PRO is live. ⏩ Trade on any chain using SOL or stablecoins (NO BRIDGING) ⏩ Call tracking from thousands of TG & WeChat groups ⏩ Multi-wallet trading (including cross-chain trades) ⏩ Native iOS & Android app, synced with Web ⏩ Fastest cross-chain trades in the industry ⏩ Ultra low-latency Solana trades ⏩ Wallet tracking on Solana & EVM ⏩ Mobile push-notifications for price changes & limit order fills ⏩ No gas tokens required to buy/sell, pay gas using any balance ⏩ Modular UI, drag-and-drop trackers & custom themes ⏩ Denominate trading in SOL, USD, EUR, CNY, ETH, or BNB Developed over 1.5 years of working with the community: now available on Desktop, iOS App Store, and the Google Play Store.

Think one of the reasons that everyone is talking about using Ai agents but critics say we’re not seeing much new releases is because for the first time we’re seeing product development that is contextual to an individual and not commercialized. I’ve been having a blast building all kinds of dashboards/tools that are useful for my life but they’re all contextual to me as an individual and I have no motivation to try and make any of it publicly available That feeling of individual contextual work flows is new and so it’s much more interesting and excited to iterate with that than to try and create some commercialized product that is more generic

*ANTHROPIC LINKS AI AGENT WITH TOOLS FOR INVESTMENT BANKING, HR It’s over. Half of analyst seats will be gone in 5 years.

one of the best ways to express Citrini's view as a trade LONG basket of compute owners & physical economy: - $NVDA (rent collector on every dollar of AI capex) - $TSMC (silicon supply constraint) - $VST / $CEG (datacentre infra are the new factories) - $AMZN (AWS cloud + logistics) SHORT basket of disruption victims by agents: - $WDAY / $MNDY / $ASAN (per-seat hcm biz models, first to get replaced by vibecoded internal tools) - $BKNG / $TRIP (tourism casualty of agentic commerce) - $HRB (tax prep biz with value prop as "this is too complex for you") - $ARCC / $OBDC (PEs with exposure to leveraged software buyouts that assumed ARR perpetuity)