bug-bounty372
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google246
microsoft211
facebook194
apple138
exploit117
rce101
csrf78
malware77
account-takeover61
writeup59
bragging-post57
browser56
authentication-bypass55
cve54
access-control49
defi48
smart-contract47
privilege-escalation45
ethereum44
open-source42
ssrf40
sql-injection39
web338
dos37
ai-agents35
phishing35
docker35
aws34
supply-chain33
smart-contract-vulnerability33
cloudflare32
idor31
react30
denial-of-service28
information-disclosure27
api-security27
sqli27
oauth26
node26
clickjacking25
solidity25
burp-suite25
wordpress23
race-condition23
reverse-engineering23
remote-code-execution22
vulnerability-disclosure22
lfi22
0
2/10
This article argues that enterprise AI costs are skyrocketing despite per-token pricing declining 10x every 18 months, because companies reinvest savings into more powerful models and broader deployments. It contends that current LLM provider pricing is unsustainably subsidized and will eventually rise sharply, making token compression and intelligent model routing essential optimization strategies for enterprises to build before repricing occurs.
ai-costs
token-compression
llm-optimization
enterprise-ai
cost-management
model-routing
ai-infrastructure
business-strategy
pricing-model
Sam Altman
OpenAI
Anthropic
Gilles Raymond
Gartner
Google
Microsoft
Amazon
Cursor
Edgee
GPT-4o
Claude Opus
Llama
Mistral