latentframe

5 ms·

91.
by latentframe 6mo ago
Good writeup seems like it’s not really the big model against the small one anymore and if smaller models can do most of the job once the context is smaller then it’s more about the system around them and the expertise ...
92.
by latentframe 6mo ago
Interesting how this history is about the edge cases and the unlikely risks that turn into real incidents. the systems scale faster than what we think about their safety.
93.
by latentframe 6mo ago
Some shift looks already happening : scaling AI used to be about better models and more compute but now it’s getting about power cooling and physical limits.
94.
Scaling AI is now constrained by energy, cooling and physics(blog.se.com)
3 points by latentframe 6mo ago|2 comments
95.
by latentframe 6mo ago
Maybe the bottleneck is shifting from compute to energy and capital ; at some point it stops being a software problem and starts looking like infrastructure power land cooling... Just feels like the constraint is moving down the stack
96.
by latentframe 6mo ago
these transitions looks very uneaven : at macro level it looks like progress but at individual level it can take years of instability before things settle again ; that gap between the aggregate story and experience is probably bigger than w
97.
by latentframe 6mo ago
Compute stopped behaving like a consumer good and started behaving like an infrastructure; the prices went from competitive cycles to higher while the performance kept compounding and that’s usually what happens when something becomes a bot
98.
by latentframe 6mo ago
It’s less about trusting one person but more about the structure indeed AI is concentrating capital and compute and talent into a few hands so we’ve seen this before with railroads, oil, semiconductors. It brings innovation and also pricing
99.
by latentframe 6mo ago
Some infos from the Reuters piece : - Redemptions are picking up across BDCs - Big players like Apollo, Blackstone, KKR have started limiting the withdrawals - Returns are compressing while funding costs are rising - AI risk is non-trivial
100.
Private credit funds face rising redemptions and AI-driven default risks(reuters.com)
2 points by latentframe 6mo ago|1 comments
101.
by latentframe 6mo ago
Feels like the real issue is that metrics aren’t just measuring but they’re shaping behavior : Once you reduce something complex like some good code, happy users or solid product decisions into a number then people start optimizing the numb
102.
by latentframe 7mo ago
Only USD for now. Would be interesting to compare — especially currencies that went through hyperinflation episodes.
103.
72% of the dollar's purchasing power was destroyed in just four episodes(eco3min.fr)
216 points by latentframe 7mo ago|263 comments
104.
$2.4T offset Fed Qt (Net Liquidity dataset, 2003–2026)(eco3min.fr)
1 points by latentframe 7mo ago|0 comments
105.
Every 2s10s yield curve inversion since 1976, with recession lag times – CSV(eco3min.fr)
1 points by latentframe 8mo ago|0 comments
106.
Can an economy remain stable while becoming inefficient?
1 points by latentframe 9mo ago|0 comments