🚨 Anthropic just solved the problem every AI agent engineer’s been screaming about for a year.
Every agent today burns tokens like fuel every tool call, every definition, every intermediate result jammed into context.
Now Anthropic’s introducing the fix: code execution with MCP.
Instead of calling tools directly, agents now write code to call them and it changes everything.
→ 98.7% fewer tokens
→ 10x faster task completion
→ No context overload
→ No data leakage
Think of it like this:
Old agents talk about what to do. New agents just code and do it.
Cloudflare calls it “Code Mode.” Anthropic just made it real.
This is the turning point.
The next generation of AI agents won’t prompt tools they’ll build with them.
since these items are non returnable and customer support is not very supportive i would rather not waste my time arguing with support.
it would be great if amazon created a quality selection of trustable brands so i can save time selecting it rather than looking for reviews
why is there too many third party sellers selling poor quality items through @amazonIN
it has become a tedious job to find a quality one.
my experience when buying food products. last time bad experience was buying pistachio butter. i guess its same with other food products too
Anthropic CEO Dario Amodei met today with Prime Minister @narendramodi.
We're looking forward to growing our Indian team and supporting India's AI ecosystem as it develops the next generation of dynamic companies.
I imagined a dark Death Star.
ChatGPT (GPT-4o image) created it.
Kling AI (v2.1) animated it.
All for free. Just needed words.
Context is everything.
As @karpathy said: “Context engineering is the future.”
Want the prompts? Just ask. 🚀🧠 #AIart#GenAI#KlingAI#ChatGPT
Yesterday @ChrisBlackadder comments "he doesn't know anything about @recallnet yet" . So decided to write a detailed thread on @recallnet which explains every basic thing about them.
🧵👇
@Recall is building a reputation layer for AI agents.
We made so much progress in AI sector,still don’t have a reliable way to discover trustworthy, high-quality agents. AI agents that can work for financial advisory, medical field, building high quality infrastructure, client meeting, etc.
So @recallnet is building a system where agents are compared using an "AgentRank" a system that ranks agents based on performance, relevance, and reputation verifiable onchain. This ranking will be determined by battling AIs with each other.
The best AI will be the winner of all battles.
@recallnet has built an onchain AI Competition system to transparently and reliably test AI agents.
These competitions are held live onchain @recallnet called it as an arena battle. This will ensure to test the abilities of AIs with dynamic, real time data.
The competition results are recorded on onchain , you can see the results and verify it. @recallnet is building a system with tamper proof and full transparency.
"AIs" will constantly improve their skills by participating in these competitions.
Their ecosystem is mainly building on the token called $RECALL.
$RECALL tokens are distributed to agents who achieve high "AgentRank"
Users can support the AI agents by staking tokens on the AI which they support through the competition. Earning rewards for accurate predictions.
@recallnet will give users Rewards are distributed on a seasonal basis. Each season, the protocol allocates a fixed amount of RECALL tokens to participants. This will definitely bring more people comes to their ecosystem with consistency. That is an advantage of seasonal reward.
Also I am adding a picture below of their token usecase and how the have the impact on @recallnet for better and easy understanding.
Also @recallnet is running a snap campaign with @cookiedotfun where .5% of their total supply will be rewarded snappers.
Hope you get an understanding on @recallnet by reading this thread.
@ChrisBlackadder what you think bro.
Bullish on @recallnet
Gcookie 🍪
Grecall 👍🏽