One pattern I find useful for working with LLMs is a nice long ramble session. Sometimes the LLM needs more bits to understand what you're trying to achieve, but you're too lazy to type them. In these cases I like to lean back, switch to /voice and just ramble for like 10 minutes, total mess, anything goes, full stream of consciousness. Sometimes I declare it up top, something like "switching to speech recognition sorry for any typos...". Sometimes I turn it into a small interview of a few turns. But I find that the LLMs are somehow very good at reconstructing long incoherent rambles and often their echo of your own tangle of thoughts comes out quite a bit cleaner than what you started with. The result is that you improve the mind meld and have to correct things less from that point on.
ahh this is an unfortunate result. I rly hope we establish a solid science of data attribution, as it one of our best methods of dealing with misaligned AIs or secretly loyal AIs
It's particularly salient for the secret loyalty case, because if you can 1) attribute the data responsible for the secret loyalty, and 2) ascertain who injected the malicious data, you can catch your attackers!
GLM 5.2: open weights, 1M context, near the top of the closed models on key benchmarks.
The benchmark isn't the story. Tokens per task are exploding (agents run for hours now) while price per token keeps falling (open weights). Both at once.
Bullish on both.
the future interface is probably three layers:
1. ambient intent capture
voice, location, calendar, screen context, messages, habits, biometrics, etc. the system understands what you’re trying to do before you explicitly “open” anything or augments your intent deeply.
2. agentic execution
the actual work happens through agents operating software, apis, browsers, documents, email, calendars, workflows, payments, support systems, whatever. most “computer use” becomes machine to machine clerical labor.
3. ephemeral verification ux
humans still need to inspect, compare, approve, edit, reject, or enjoy things. that’s where gui survives but as disposable, task specific surfaces generated for the moment.
@Dugri_Thoughts ירושה היא טעות בתזמון אבל אולי זו טעות שמתקן את עצמה ברגע שמסתכלים ב״שני hopים״? כלומר, כשסבתא נפטרת (טפו טפו) אז להורים בגיל 60 אין כבר מה לעשות עם זה, אבל הם מביאים את זה לילדים שבגיל 30 כדי לקנות להם בית / שינוי קריירה (ולהשפיע בצורה דרמטית על החיים שלהם).
@DannyLeshem נו אז לקחת את ההצעות? ;)
ואיך אתה מכליל את התפיסה של שוק יעיל לכל מה שקשור לכסף שזורם בPrivate Equity? שהמכשיר הזה סוג של מטשטש את הגבול ביניהם
@DannyLeshem זה נחשב השקעה ״טובה״ מבוססת access בעיניך? (שעכשיו יש לכל מי ששומע על הסל הזה) - או שעצם הקיום של דבר כזה והעובדה שיש שוק יעיל אומרת שבעצם כבר אין מה לנסות להשקיע בחברות האלה? בקיצור לקנות או לא לקנות
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I'm Boris and I created Claude Code. Lots of people have asked how I use Claude Code, so I wanted to show off my setup a bit.
My setup might be surprisingly vanilla! Claude Code works great out of the box, so I personally don't customize it much. There is no one correct way to use Claude Code: we intentionally build it in a way that you can use it, customize it, and hack it however you like. Each person on the Claude Code team uses it very differently.
So, here goes.
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