MiniMax M2.7 just landed on @SambaNovaAI
's SambaCloud. If you build with coding agents, you know a smart model is only half the battle! Sluggish response times and strict rate limits during iterative, multi-turn coding sessions completely break your momentum. SambaCloud
@datachaz
-
MiniMax M2.7 deployed on SambaCloud to improve coding-agent performance
By
–
-
Setbacks in Major Companies’ AI Deployments
By
–
Rough week for the "AI is taking our jobs" narrative.
— Charly Wargnier (@DataChaz) 29 mai 2026
> Amazon just axed its AI leaderboard as costs soared with no clear payoff
> Starbucks' AI can't even count coffee cups right
> Uber burning a $3.4B AI budget in just 4 months with nothing to show for it
WE ARE SO BACK. https://t.co/c242lnbww1 pic.twitter.com/MVxtdTlF5cRough week for the "AI is taking our jobs" narrative. > Amazon just axed its AI leaderboard as costs soared with no clear payoff
> Starbucks' AI can't even count coffee cups right
> Uber burning a $3.4B AI budget in just 4 months with nothing to show for it WE ARE SO BACK. -
Client Spent $500M in a Month After Missing Claude Usage Limits
By
–
NEW: AI consultant reveals a client accidentally spent $500,000,000.00 in a single month after failing to set employee limits on Claude usage.
-
Huge Anthropic Claude bill reported after negligence
By
–
Half a BILLION on Claude.
— Charly Wargnier (@DataChaz) 28 mai 2026
In a single month.
By negligence.
The company’s CFO after seeing the Anthropic bill: https://t.co/Ih9xh86Bzs pic.twitter.com/1AObXEorwKHalf a BILLION on Claude. In a single month. By negligence. The company’s CFO after seeing the Anthropic bill:
-
Commentary on agent retraining inefficiency and funding
By
–
letting agents relearn the EXACT same stuff every run is just burning cash. makes this $3M raise super obvious tbh Uber's CEO @dkhos will be happy to see this 😉
-
Rote: a local CLI for reproducible agent workflows
By
–
🚨 THIS IS EXACTLY HOW AI TOOLING SHOULD BE BUILT@Modiqoai just released Rote, completely dropping the bloated SaaS model.
— Charly Wargnier (@DataChaz) 28 mai 2026
It’s a FREE, local CLI that memorizes your agent's API sequences.
Imagine nailing a Jira flow once and handing that exact run to every dev on DAY 1 👀↓ https://t.co/DzI3DMhYdITHIS IS EXACTLY HOW AI TOOLING SHOULD BE BUILT @Modiqoai just released Rote, completely dropping the bloated SaaS model. It’s a FREE, local CLI that memorizes your agent's API sequences. Imagine nailing a Jira flow once and handing that exact run to every dev on DAY 1 ↓
-
Creator builds drawing-capture tool with Google Flow and Gemini Omni
By
–
WOW
— Charly Wargnier (@DataChaz) 28 mai 2026
this guy literally vibe-coded his own drawing-capture tool using Google Flow, then asked Gemini Omni for photorealistic red yarn, and created absolute MAGIC 🤯 pic.twitter.com/7VV2bKnzkfWOW this guy literally vibe-coded his own drawing-capture tool using Google Flow, then asked Gemini Omni for photorealistic red yarn, and created absolute MAGIC
-
Microsoft open-sources SkillOpt for self‑improving agent skills
By
–
🚨 MICROSOFT JUST OPEN-SOURCED SELF-EVOLVING AGENT SKILLS
— Charly Wargnier (@DataChaz) 28 mai 2026
You can now train agent skills the exact same way you train AI models, and watch them get better over time.
It's called SkillOpt, and it's 100% free and open-source.
Until now, building agent workflows has been pure… pic.twitter.com/kjAIs2MnviMICROSOFT JUST OPEN-SOURCED SELF-EVOLVING AGENT SKILLS You can now train agent skills the exact same way you train AI models, and watch them get better over time. It's called SkillOpt, and it's 100% free and open-source. Until now, building agent workflows has been pure
-
Open-source FreeLLM API repo shared
By
–
repo → https://
github.com/tashfeenahmed/
freellmapi
… Shoutout to @tashfene for building this and making it open-source for the community Don't forget to drop a ! -
Get 1 Billion Free LLM Tokens Monthly by Combining Free Tiers
By
–
Want ONE BILLION free LLM tokens a month without juggling a dozen different APIs? Now you can *legally* unlock that massive inference capacity by combining the free tiers of Google, Groq, SambaNova, Mistral, and GitHub Models. The only problem is the headache of managing all