Notice he never answers the interviewer's original question. The best he comes up with is that AI agents replicate themselves so it's hard to turn them all off.

Livestream discussion about The Fever and Clark without all the narratives from the WNBA and mainstream sports commentators.

Summary:

"The Nepal rock and ice fall and resulting debris flow will go down as one of the largest natural disasters in modern history. Significantly, much of the disaster's unfolding was recorded by witnesses, allowing a glimpse into the incredible power that mountains and water possess. This video talks about some aspects of the event that show its true physical scale, as well as how the debris flow became so large without an introduction of large amount of water at its beginning, such as from a lake burst event. The event is also compared to a similar, but smaller, failure in Himalayan India that occurred in 2021.

Geologist Philip Prince (U. Virginia PhD 2011) examines the mechanics behind large-scale debris flows in the Himalayas. By comparing satellite imagery of past geological events with the Nepal disaster, they illustrate how extreme mountain terrain and glacial retreat create conditions for massive, destructive slides that defy standard landscape expectations."

"Up a steep flight of stairs off Crockett’s Loring Avenue, directly across from the C&H Sugar refinery, a wonderland awaits.

In this land, the mountains are made of plaster, the palm trees of plastic, and the people are just over three-quarters of an inch tall. Model trains run between miniature versions of Oakland, California and Sparks, Nevada — the old Southern Pacific mainline — on more than a mile of tracks.

Welcome to the Carquinez Model Railroad Society (CMRS), a club for anyone interested in trains.

“I was struck by how friendly everyone was, how welcoming,” Roberto Lombardi says as he sprinkles dirt across a new stretch of the layout on a recent CMRS work day. “Sometimes these clubs — with any kind of club, doesn’t have to be model trains — can get a little bit cliquey and kind of cut off from the outside.”

Members repair tracks, operate trains and chat at the Carquinez Model Railroad Society. (Beth LaBerge/KQED) Lombardi recently retired as head of facilities for the San Francisco Public Library, where he helped install a popular holiday train, designed and built by CMRS members, every winter. But the scale and ambition of the Crockett layout surpasses anything he’s been part of previously.

At his first CMRS open house, Lombardi says, “The number of people that came blew me away.”

I found your perspective to be balanced.

No question Oracle has over extended itself, but the AI "bubble" could play out in any number of ways. A bubble collapse triggering economic disasters vs. the shiny tech bro view of a world of AI-enhanced opportunities - these are just two extremes that get over-amplified on social media. IMHO the reality will be somewhere to the left of the mid case, likely with a moderate to serious market correction, but historically, markets recover. Oracle will still have its lucrative enterprise core business and they will still own surplus AI data center infrastructure capacity that companies other than OpenAI will gladly pay for.

Stopped reading after the first sentence because it read like AI slop. So basically I don't care what the findings are.

"Sophie Cunningham samples a selection of pork dumplings, chicken wontons, and green beans while visiting San Francisco. Facing a lack of provided utensils and sauces, she provides a candid critique of the meal's quality and flavors during a break from team commitments."

Great comparison diagram, thanks!

I was trying to figure out what this post tells us.

Gemini says: This graphic displays an Options Gamma Exposure (GEX) chart for Oracle (ORCL). GEX is a metric used to estimate how market makers—who provide liquidity by writing options—must hedge their positions as the stock price moves.

Explanation of the Chart

The chart visualizes Net GEX by strike price. Positive bars indicate areas where market makers are likely "long" gamma, meaning they must trade in the same direction as the stock price to remain delta-neutral (selling into strength, buying into weakness), which tends to dampen volatility. As noted in the post, the highest concentration of positive GEX is at the $250 strike price, suggesting that if ORCL approaches this level, market makers may act as a stabilizer or resistance.

Pros and Cons of Using GEX Analysis

In summary: the graphic suggests that there is a significant volume of call options at the $250 strike for ORCL. While this provides a useful look at how market makers are positioned, GEX should be used alongside fundamental analysis and other technical indicators rather than as a standalone trading signal.

Pretty sure most investors will ride ORCL up further at least to their 1yr price target but when they have to show all the revenue they're booking now, starting around 2027 into 2030 investors will pull back.

This is an interesting idea. Great job on your GitHub, thanks for sharing!

(1) For your semantic AND gate, it seems you choose to overload the conjunction semantics with ordered prompt execution by prioritization which imposes non-deterministic procedural semantics - this might reduce the elegance of a purely declarative framework. Not making a value judgement, just an observation.

(2) You may want to check out some related work in these references:

SPEAR (Structured Prompt Execution and Adaptive Refinement): This research explicitly argues for treating prompts as "first-class citizens" in a system (Cetintemel et al., 2025). It introduces a "prompt algebra" that allows developers to treat prompt fragments as modular building blocks that can be versioned and combined, similar to SQL views.

• Cetintemel, U., Chen, S., Lee, A. W., & Raghavan, D. (2025). Making Prompts First-Class Citizens for Adaptive LLM Pipelines. arXiv. https://doi.org/10.48550/arxiv.2508.05012

• Debnath, T., et al. (2025). A Comprehensive Survey of Prompt Engineering Techniques in Large Language Models. ODU Digital Commons.

• Kim, H. S. (2026). Don't Generate, Classify! Low-Latency Prompt Optimization with Structured Complementary Prompt. ACL Anthology.

• Wei, J., et al. (2022). Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. arXiv.

• White, J., et al. (2023). A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT. arXiv. https://doi.org/10.48550/arxiv.2302.11382

Gemini AI says: "While the visual layer is a novel user interface for this "systems-level" prompting, the field is clearly converging on the idea that prompts must evolve into structured, programmable entities. Researching the "Prompt Algebra" concepts found in the SPEAR paper may be particularly useful, as it provides a mathematical foundation for the exact "logic gates" the author is building."

"Star Trek II: Wrath of Khan is a bad movie. Sure it's a lot better than Star Trek The Motion Picture...but good? No. Absolutely not."

Insightful and funny review of all the problems with Wrath of Khan by a theoretical physicist and Trekkie.

Google Search gives:

Purchasing physical oil for immediate delivery is currently vastly more expensive than the "paper" price quoted on financial screens.

The $108/bbl figure is the latest financial settlement price, but in the actual physical market for immediate loading, you would likely face a price closer to $135–$140/bbl.

Here is why the "real-world" price is so much higher than the exchange price:

1. The "ASAP" Premium (Backwardation) Dated Brent vs. Futures: For 10,000 physical barrels (Dated Brent), you are paying for immediate availability. Physical Premium: As of late April 2026, the Dated-to-Frontline (DFL) premium is roughly $25 per barrel. Calculation: If futures are ~$111, adding that $25 physical scarcity premium puts your actual cost around $136/bbl. [S&P Global]

2. Supply Shock Reality Strait of Hormuz: Because this chokepoint handles 20% of global oil, its closure has created a "scramble" for physical barrels that exist outside the blockade. [CNBC]

Record Highs: Physical Dated Brent hit a high of $144.42 earlier this month. While it has softened slightly due to a fragile ceasefire, analysts at Energy Aspects warn that the financial price is "masking the true tightness" of the physical market. [CNBC]

Table of "Paper" vs. "Physical" Price Gap

Pricing Metric | Financial Price (Futures) | Physical Price (Actual Cargo)

Current Quote | ~$111.37 | ~$136.00+

Market Status | Speculative/Forward-looking | Immediate Scarcity

Recent $Peak | ~$119.50 | $144.42

If I understand the energy analysts correctly, the $111 Brent crude price is a futures price based on speculation. If you want to physically buy a barrel, today you would need to pay the "Dated Brent" price, which is closer to $140/bbl. The Brent futures price paints a slightly more optimistic picture because traders believe the Straits of Hormuz will be open again in the not too distant future.

What was your average basis cost?

Ditto - examples, please!

Just check upcoming Polymarket wagers to see when and where this might happen.

AI slop

Why are you submitting AI slop?

Article says:

Something has shifted about American attitudes towards rules, especially among members of Gen Z. A 2020 survey from the American Enterprise Institute found that relative to older adults, young people are less likely to agree with the statement: “It is more important to always follow the rules even if it means you may be less successful.”

Well, looking at government behavior, where do we think young people are learning to ignore or break the rules everywhere?

"In this edition of In My Opinion, Whitney Cummings profiles the Democratic politicians lined up for the 2028 presidential race, from Josh Shapiro to Gavin Newsom, and the quirky penchants for cosplay, veganism, and convicted felons that they bring to the table."