GOOGLE JUST DROPPED A BRAND NEW, FREE 5-DAY VIBE CODING COURSE Classes kick off on June 15th, so now’s the perfect time to register and get ready for Day 1. Google's first AI Agents course last year drew in 1.5 Million learners. Now, they’re launching the highly anticipated
@datachaz
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MiniMax M2.7 model and API documentation
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… and for your reference, here is the official @MiniMax_AI documentation: – MiniMax M2.7 official page: https://
minimax.io/models/text/m27
– MiniMax API docs: https://
platform.minimax.io/docs/api-refer
ence/api-overview
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SambaNova self-evolving agents and SambaCloud playground
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Ready to test it for yourself? All the resources you need are here: – SambaNova announcement: https://
sambanova.ai/blog/build-sel
f-evolving-agents-on-sambacloud-with-minimax-2.7
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– SambaCloud Playground: https://
cloud.sambanova.ai/playground -
SambaCloud Delivers 435 TPS for MiniMax M2.7 in Multi-Agent Setups
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When you run multi-agent frameworks like @OpenClaw
, you know the output speed is critical. As the chart below shows, SambaCloud serves MiniMax M2.7 at a MASSIVE 435 output tokens per second, more than 3x faster than the nearest competitor (Fireworks at 127 t/s). Combine that -
MiniMax M2.7 deployed on SambaCloud to improve coding-agent performance
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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 -
Setbacks in Major Companies’ AI Deployments
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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
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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.
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Huge Anthropic Claude bill reported after negligence
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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:
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Commentary on agent retraining inefficiency and funding
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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 😉
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Rote: a local CLI for reproducible agent workflows
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🚨 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 ↓