POV: you send a 700k token prompt to an AI
and the model reads leftover memory from someone else's request
cloudflare says that hit 155 responses on its GLM-5.3 model, aug 27 to sep 9. an SGLang bug + a context window bigger than its cache
on sglang? upgrade to 0.5.22
what it doesn't mean
P vs NP is not solved
your encryption is fine
the method is still slow in practice
but if it holds, a lot of research built on ETH needs a second look. 700+ points on hacker news overnight for a reason
openai says its AI just proved 3 things mathematicians and physicists have chased for decades
including that a famous computer science assumption is false
here's what was claimed, and what's actually been checked π§΅
what's missing
which model did it: not said
how much compute: not said
independent sign-off: 0 of 3 so far
ETH's original authors, impagliazzo and paturi, plus ryan williams are now reviewing the CS claim
yesterday i posted that openai is cutting deals to win anthropic customers
now it cut the price for everyone
gpt-6.1 terra: $1 in / $5 out per 1M tokens, half of sol
per openai: 3x faster than sol, 50.3% on terminal-bench 4.0 (old terra 21.5%)
the price war is public now
80% less time on patient intake
thats what a clinic reports after an AI agent started asking the questions over text before the visit, per concurrence
same questions, just asked like a conversation
builders running intake or onboarding forms, whats your finish rate?
POV: you just finished patching PHP2Shell
then node and python get one too
broccoli2shell, CVE-2026-111497, CVSS 9.2, in google's brotli decoder. reported by openai's codex security
node 22.23.4 / 24.22.1 / 26.12.1
python Brotli 1.2.1
then restart everything
yesterday i posted that replit moved its AI spend to openai over a discount
turns out it wasn't one deal
rippling: openai's share of its coding work went 16% to 52%, anthropic's fell 57% to 18%
datacamp: costs down 80 to 90%
per the information. the price war is here
block just showed an AI that learned to talk without ever reading a word
no text. no pretrained model. only recordings of people talking
and it runs on a macbook π§΅
my take: margins are a lagging signal
most big companies bolted a chatbot onto the old process. the payoff shows up when the process itself changes, and that takes years, not quarters
but "we're early" can't be the answer forever