I think all of Luna's are bad. The only decent one is sol @ xhigh. Even sol @ max is weird. Sol @ high and @ medium are ok, and every other single one across every model is bad.
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How to run a business: https://www.youtube.com/watch?v=6fQHLK1aIBs
sasha-id submitted the original bug report, and then bcherny confirmed that it was a bug and that it's been fixed.
Given that, it's almost guaranteed that sasha-id is a legitimate actor.
If you're confused about sasha-id's comment here (https://github.com/anthropics/claude-code/issues/53262#issue...), it's because they just copied and pasted a support response from Anthropic.
I'm open to hearing, please elaborate
Do you disagree with any of the data or conclusions?
From this reply, it seems that it has nothing to do with `/effort`: https://github.com/anthropics/claude-code/issues/42796#issue...
I hope you take this seriously. I'm considering moving my company off of Claude Code immediately.
Closing the GH issue without first engaging with the OP is just a slap in the face, especially given how much hard work they've done on your behalf.
I assume they meant that "Claude Code is so good..." and that they cancelled Currsor and just use CC + VSCode.
That's all factually incorrect. The reason that HFT is valuable to society is exactly because it trades at the microsecond scale. That's how it provides the most liquidity.
Flash crash was transient and had no impact long term value. Neither does volatility.
HFT doesn't inflate or deflate any valuations. They operate at the market microstructure level and provide liquidity. HFT firms have no impact on the long-term value of assets.
Thanks for the AMA Peter!
What impacts are you seeing as a result of the $100K H-1B fee which took effect on 9/21/25?
This is different. AI is an existential threat to Google. I've almost stopped using Google entirely since ChatGPT came out. Why search for a list of webpages which might have the answer to your question and then manually read them one at a time when I can instead just ask an AI to tell me the answer?
If Google doesn't adapt, they could easily be dead in a decade.
This kind of cynicism is wild to me. Of course most AI products (and products in general) are for end users. Especially for a company like Google--they need to do everything they can to win the AI wars, and that means winning adoption for their AI models.
When they hit a jack pot. They’d document the mutations, throw the engineered strain out and start blasting them with UV. Afterwards you just scan for the same mutations and voila, now it’s classical strain enhancement!
Instead of starting with a fresh gene pool and blasting it with UV and praying that they get the same jackpot mutations, why didn't they start with an entire population with that desirable jackpot mutation and those blast cells with UV and then select for the ones that survived?
Are you just referring to a two-stage AC/furnace?
No more than someone spending a few thousand on a tiny designer bag that can fit almost nothing inside.
Ah yes. That’s the one thing I need to teach everyone when they’re new to Django. I was wondering if there were other quirks to the ORM beyond avoiding N+1 queries.
What're some DB query performance issues you've run across in the past and how did you resolve them?
The dark forest is such an obviously false theory to me. Its axioms are:
1. Survival is the primary goal of all civilizations.
Agree.
2. Resources in the universe are finite.
True in the theoretical sense, but false in the practical sense.
3. Civilizations cannot be certain of others’ intentions.
Not obviously true or false.
4. Communication is dangerous.
This is such a strong axiom and is almost certainly false.
Its conclusion from applying the four axioms is that preemptive annihilation is the rational strategy.
As an alien civilization, if your strategy for survival in the cosmos is to "immediately and totally annihilate any sign of life", then that is almost a surely losing strategy. If intelligent life is prevalent, and the cost of annihilating a species is so low that they can just do it willy-nilly, then all it takes is one surviving colony to use the same superweapon against you and you're finished. Oh, you'd also have to be annihilating species left and right across the galaxy without revealing your location. And in the worst case, you've just pissed off all the known alien entities in your galactic neighborhood. Good luck to you.
It makes for fun writing, but I don't understand how anyone can take it seriously.
Can you explain more? I don’t understand the distinction in this case between data and configuration in the context of IP addresses.
I presume so. Here's a great example of it with bacteria: https://www.youtube.com/watch?v=bDa4-nSc7J8
How quickly would the local population of mosquitos adapt to the MosquitoDunks, such that within a few generations, the only surviving ones would be the ones that are unaffected by the dunks? Or is that not a real concern?
What makes that curve exponential?
It's very common for tech companies to go public without being profitable. As long as their growth is good and they have a reasonable story for how they will achieve profitability, then it typically makes sense. Of course every company is different and not all will reach their profitability goals post-IPO, but in many cases, it wouldn't make sense to wait for profitability before going public.
I've noticed that since I've started using ChatGPT, I've almost entirely stopped using Google (except for the rare case where I need a specific website but don't remember the URL). In addition to a bunch of technical questions related to my work, my ChatGPT chat log has the most mundane things like:
- What is platos frios
- Can you download Netflix videos to your local device
- Who composed the Top Gun theme
- Who have been the most successful American Idol winners
- If I check-in the day before a United Airlines flight, can I still buy additional checked bags when I go to the airport
- If I'm buying a Schwinn IC4 indoor spin bike, do I need a floormat for it also
- What is pisco
- In the US, what is the format for EINs?
- Is it bad to use tap water in your humidifier?
- Which NBA players are on supermax contracts
- What are some of the best steakhouses in Manhattan?
- How much and how long does it take to procure a DUNS number?
- In terms of real estate, what is historic tax credit development
LLMs give me the answers I want immediately. Before, I would use Google basically as a proxy to find websites that I'd then have to sift through to find the answers to these questions. It was another layer of indirection. Now that I can have an LLM just tell me the answer (you still need to approach it with a skeptical eye, since it can certainly get some things wrong), I don't need to "search" the search results pages themselves and read multiple articles and blog posts to hopefully find the answer to my question.Clocks run at "normal" speed (i.e. "1x" speed) in the absence of a gravitational field. The stronger the gravity, the slower they run (i.e. less than "1x" speed).
Are these related to (or exactly) the distribution of electron orbits?
Wait, the US overall is ranked 18th out of approximately 50 countries (on the first chart for Math + Science). Obviously some American demographics are doing better, but across all demographics, the US scores are not excellent and not near the top.
As long as America has a first-past-the-post voting system, then game theory dictates that it will always be a two-party system.
Weak probably means too much VC competition relative to the number of good investment opportunities, leading to higher valuations, fewer investments in top companies, and lower expected returns.
The point has nothing to do with Elon. It's just the correct way to analyze revenue graphs due to seasonality. Whether or not X is "collapsing" isn't obvious from the graphs either, and I made no such claim. We'd need to know other things that aren't public, and it's probably too early to tell anyway. But it's incorrect to say that revenue is growing. It's down quarterly YoY, which is the only real meaningful way to look at it.
That's the wrong way to read revenue graphs. You need to compare quarterly year over year. From that perspective, it's down across the board.