
โก๏ธ โข Founder of @tensoropsai โข Your partner for AI ๐ค
Lisbon, Portugal
Joined September 2016
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Mr @POTUS, I'm glad to share with you that we registered under the tensorops.si domain!
๐ค Made with AI
Gad Benram retweeted
Replying to @Reuters
LEAKED: Screen recording of the massive Gemini hack
๐ค Made with AI
Shana Tova everyone! And thanks @OpenAI for the new partnership this year!
ืืฉืฉืืขืชืชื ืฉืืืืื ืืืื ืืืจ ืืช ืคืจืืก ืืืืืื ืืืื ื-100 ืืฉืคืืขื ื ื AI ืืืฉืืืื ืืขืืื ืืื ืืณื ืกื ืืืื ื ืื ื ืืืจ
Gad Benram retweeted
Thanks @OpenAI for the limited edition merch
GLM 5.2 just one shotted "Super Plumber" and the price to intelligence amazing! Finally there is an Open Source model at the level of Opus and the price is about 90% less in price.
I got access to their token service from a company (currently under NDA) that is based on kernel-level optimization and other breakthroughs that should not be disclosed. But what I can tell you is this:
I took their system for a ride. I plugged it into a code clue and made it think it was using Opus through an LLM Gateway that fakes the readings.
Then I asked for a single shot to build me a "Super Mario", with no corrections, no feedback from me.
11:33 minutes run, 47.0K tokens, 1451 lines written and 34 lines deleted.
The price if I had actually used Opus would have been $10.69, but I actually paid exactly $1.25.
And all this is above the Open Source model. So, run urgently to check out GLM 5.2, and if you happen to spend over $15,000 a month on Claude for your organization (which according to my experiment came out 1500 a month...), maybe I'll be able to get you early access to the platform..
I'm proud to share a comprehensive and unique tutorial covering everything you need to know about loop engineering
while ....
[your code here]
end
Prepping for your AI certs? ๐ง
100% FREE practice exams for the AWS GenAI Developer (AIP-C01) & Claude Essentials are now live on TensorLearn!
Get started here: tensorops.ai/academy #AWS #Claude #AI
ืืกืงืื ืืืืฉ ืฉืืืื ืืืืจืื ืขืืื: Caveman ืืื ืื, ืืื ืืืจื ื LLM ืืืืจ ืืื ืืืจ ืืืคืืกื ืืืื ืฉืืื ืฆืืคื ืืืื ืืืื ืืืื ืืืจืื ืืช ืืืืงื ืื ืฉืืื ืืฉืชืืฉ ืืื. ืืื ืื ืืื ืืืช ืืืืื ืืืื ืื ืืขืฆื ืื ื ืืฉื ืืฉืื?
ืื Caveman ืื ืกืงืื ืฉืืืจืื ื LLM ืฉืืื ืืืืจ ืืื ืืืฉ ืืขืจืืช:
ืดืื ื ืืื, ืืชืงื, ืืกื ืขืืจ.ืด
ืืคืจืืืืงื ืคืืชื ืืืืืื ืืืคืืขื ืื ืื ืืืฉ ืขืืืจ ืขื ืืืขืื ืืืืืชืืช ืฉื ืกืืื ื ืงืื ืืืืจ ืืจืื ืืืืงื ืื ืื ืื ืืชืฉืืื ืืกืืคืืช ืืืืืจ ืืื ืืขืืืคื ืืงืื ืื reflection ืฉื ืืฆืจืื ืืืืืจืืฆืืืช ืืคื ืืืืืช ืฉื ื reasoning.
ืืื ืืื ืื ืืขืื ื ืงืืื ืืฉืืื ืืืื ืืืืื ืฉืคื ืฉืืฉ ืืื ืืืืืืฆืื ืืืื ืืช ืืืืฆืื ืคืื ืืืื ืืืคื ืืืืืื ืฉืืื ืฉื ืืชื ืืื ืชืืืื ืืืืื ืขื ืืืืฆืื ืคืื ืืืฉืื, ืชืืืื ืืงืจืื ืขืื ืืืืืจ ืฉื Adam Tauman Kalai, Ofir Nachum, ืืื ืื ืืืืื ืืฆืืขื ืฉื ืจืขืืื ืฉืืืื ืืืืื ืกืืืืืื - ื ืืืืฉ ืฉื ืชืฉืืื ืื ื ืืื ื ืืืจืื ื ืงืืืืช, ืื ืืื ืืืืืืฆืื ืื ืืฉ ืกืชื ืื ืื ืืืืขืื ืืช ืืชืฉืืื.
ืืื ืืงืจื, ืกืงืื ืืฉืขืฉืข ืืงืื ืกืคื ืืขื ืืื!
A few weeks ago, I wrote a post arguing that successful startups don't typically build "agents" as their primary product. Recently, I came across an interesting analysis that highlights how common perceptions about where the money is in AI can sometimes miss the mark.
@chris__lu Wrote an overview that stated that 70% of the startups in the YC Spring 2026 batch are building agents. However, a closer look at the data methodology reveals a slightly different picture.
Upon a second read, it appears the review simply checked for the occurrence of the phrase "AI Agent," assuming that any startup mentioning the word is actively building one.
A more thorough examination, using Gemini to classify what these startups actually declare they are doing, found that out of 196 companies checked in the batch, only 38 to 61 are truly "building agents" (depending on the classifier's prompt definition). The rest are either building infrastructure for agents (like telephony or browsers for agents) or doing something else entirely.
ืืฉื ืช 2024 ืืืืจืชื ืืื ืืืจื ืืื ืืื ืฉื ืืืจืช ื ืืกืืง ืฆืืืืจืืช ืขื ืื ืฉืชืคืืกืช ืืชืืื ื ืืืืืช ืืืืืช ืฉืื ื ืืืืชืืช ืืขืชืื. ืงืื, ืืืื ืืืืืช ืืืืฆืจ ืืชืื ืืื ืืจืืงืฆืื ืขื ืืืืืจ, ืืืื ืืืช. ืืื ืื ืฉืืกืืื ืืืชื, ืืืืจื ืืฉื ืื ืืฉืืืฉืืชื ืืืขืื ืืช ืื ืืื ืื ืฉืืชืืืืกื ืืื ืื ืคื ืืฃ ืฉื ืคืืคืืืืื.
ืื ื ืฉืื ืืจืืืช ืืช ืืืฆืืืืช ืืืืช ื ืจืงืืช ืืืื ืืขืื ืืื ืืื ื ืขืื ืืืืื ืฉืืกืืจ ืืื ืืืืืืฅ, ืืืืืื ืื ืืชื ืขืืกืงืื ื Security ื-AI. ืืจ ืืืืจ ืืืืื ืืื ืืื ืื ื ืืช VibeOS, ืื ืฉืืืจื ืืื ืืฆืืืง ืืืงืืช ืืจืืฉืื ืืช ืืืคื ืืืกืช ืฉืืืื.
ืืขืจืืช ืืืคืขืื ืืืืช ืื ืืื ืื ืฉืื ืืคืืืงืฆืื ืื ื ืืฆืจืช ืืืื ืืืช ืืืื ืืจืืงืฆืื ืขื ืืืฉืชืืฉ. ืืืฉืืื, ืืคืืคื, ืื ืฉืืชื ืจืืฆืื. ืืงืื ื ืืชื ืจืง ืืจืืข ืฉืืืืืจ ืจืืฆื.
ืืื ืื ืืื ืืืขืื? ืืจืืจ ืฉืื. ืื ืืืืคืฉ. ืืจืืข.
ืืื ืขื ืืืื ืืืืืื ืืืืข ืืืืืื ืืืฆืื ืืช ืืืืืงืืืกืื ืฉืืื ืื ืืขืืื. ืืื, ืืชืืจ ืืืืื ืกืืืืจ ืืชืฉืชืืืช AI ืืฉ ืืืืื ืืช ืืืฉืื ืขื ืืืงืืกืืกืื ืฉืฆืจืื ืืื ืืช ืกืืื ืืื ืขืืื. ืืื ืืืืืืื ืงืื ืฉื ืืฆืจ ืืืื ืืืช? ืืื ืืืืืืื ืจืืฆื ืืขืืื? ืืื ืืคืฉืจ ืืขืฉืืช reuse?
ืืื, ืืคืืืงืฆืืืช ืฉืืืืฆืจืืช ืงืื ืืืื ืืืช ืืคืืืฉืืช ืืงืืืืช ืืืจ ืงืืืืืช. ืืคืืื ืื ื ืืฉ cases ืขื ืืืืืื ื ืืฉืชืืฉืื ืืืืฉืืื. ืืื ืืื ืฉืืืืืื ืืจืื, ืื ืจืง ืงืฆื ืืงืจืืื...
ืืฉืื: ืืืืื ืืืื ืืฉ ืื ื ืงืืืฆืช thought leadership ืฉื AI ืืืืืื, ืืื ืืืืจ ืืืืืง ืขื ืืืืจืื ืืืื, ืชืืชืื ืื ืื ืืขื ืืื ืืชืื ืืืฆืืจืฃ.
ืืื ืง ืืืืืื ืืชืืืื ืืืื
ืืืกืืจืช ืืืช ืืืืืืืช ืฉื ื-SaaS, ืกืืืื ื ืืืืืฉ ืืืืจืื ืืคืชื ืืขืฆืื ื ืืช ืืืจืกื ืืจืืฉืื ื ืฉื ื-Notetaker ืฉืื ื: ืืงืืื ืฉืืืืช ืคื ืืื ืฉืืงืืื, ืืชืืื, ืืกืื ืืืชืืืจ ืืืืื ืืคื ืืืืื ืฉืื ื ืืื ืืืืจ ืืช ืื ืฉืงืืจื ืืฉืืื ื Agents, ื data warehouse ืืืืืืืืฆืืืช ืฉืจืฆืืช ืืฆืื ื ืืืืจื.
ืืื ืืขืืืื ืืืจืช ืฉืืจืืชื AI ืชืจืฆื ืืคืชื ืืขืฆืื Notetaker? ืืืืช ืฉืืืืืจ ืื ืืื ืืฉืืงืื ืืขืืงืจื. ืขื 30 ืจืืฉืืื ืืช ืฉืขืืืื ื-30 ืืืืจ ืืืืฉื, ืืชืฉืืื ืืื ืืขืจื 900 ืืืืจ ืืืืืฉ. ืื ืืฉืื ืฉืืฆืืืง ืฉืื ืื ืคืืงืืก. ืื ืื ืื?
ืงืืื ืืื, ืืขืืืช ืขื ื-data. ืืืืื ืฉืขืืื ื ืืืชื ืฉืืจื ืืช ื-data ืืฆืื. ืื, ืืื ืืื SOC2 ื-GDPR ืืืืณ, ืืื ืืืื ื ืืืื ืื ืื ืื ืฉืืื ืืขืืื ืฉื ืืืื. ืืืืฉืื ืฉืืฉืืืืช ืืื ืงืจืืืืืช ืฉื ืืืืจื ืฉืื ื ืืกืชืืืืืช ืืืคืฉืื ืืืฉืืื ืขื ื ืฉื ืืืจื ืฉื 200 ืื ืฉืื ืฉืคืืืจื ืืฆื ืฆืืืช ืืืืืฉ ืฉืขืืจ, ืืืืืื. ืืืื ืื ืืืืจื ืืช ื-data ืฉืื ื ืืื ืืืฆืื ืืช ืขืฆืื? ืืืื ืื ืืคืืจื ืืช ืืืฉ ื-security ืืื ืืืกืื ืืขืืืืืช?
ืืขืืจ ืืื, ื-API ืืื ืืืืื. ืืฉ ืื ื ืืื ืคื ืืื ืฉื ืืชื ืืื ืืืื ืืืืืช ืขื ืืชืงืืืืช ืฉื ืคืจืืืงืืื ืืชืื ืกืืืืื ืฉืืืืช, ืืื ื-API ืืืืข ืขื ืื ืืื ื ืืืกืจืื: ืื ืืคืฉืจ ืืื ืืืืจืื ืืช ืืืืืืื ืืจื ื-API, ืื ืืคืฉืจ ืืื ืืืืืืจ ืื ืื ืื retention ืืคื ืืืงืื ืืืจืืืจืื ืฉืจืฆืื ื, ืืื ืืคืฉืจ ืืื ืื ืื ืืช ืืืฉืชืืฉืื ืืฆืืจื ืฉืืชืืืื ืืืจืืื ืฉืื ื. ืืืฉื, ืืืคืฉืจ ืืื ืืืื ืืจืืืช ืืช ืืฉืืืืช ืฉื ืื ืืขืืืืื, ืื ืื ืื ืื ืืืง ืืืืชื ืงืืืฆื.
ืื ืืฉืืชืืื ื ืืืชืขืกืง ืืืื ืืืจืฆืืืช ืืืื, ืืืขืฉื ืืืจ ืืชืืื ื ืืคืชื ืืช ื-SaaS ืืขื ืืืงืืื. ืื ืื ืฉื ืฉืืจ ืื ืืฉืคืจ ืืช ืืืฆืืืืช ืฉื ืืืงืืื ืขื AWS, ืืขืฉืืช ืืืคืืืืืืฆืื ืืืืื ืืช ืืื ืืืืืื ืืงืืื ืืืืืชืืช ืืืฆืืื, ืืืคืจืื ื ืืืืณ. ืืืืฉ ืฉื ืขืืืื.
ืืืจื ืฉืืขืืืืื ืฉืื ื ืืชืืืื ืืืฆืืจืฃ ืืฉืืืืช ืืืื ืขื ืืงืืืืช, ืคืชืืื ืงืืืื ื ืฉืืืืช: ืจืืข.. ืื ืืฉืื ืฉืืชื ืืืืืื ืืขืฉืืช ืืฆืื ื? ืืืื ืืื ื ืฉืืืืจืช ืฉืืจืืชืื ืื ืื ื ืืืืืื ืืืฆืืข ืืช ืื ืืฉืืจืืช ืื ืืื: ืืงืืื ืืื ื-self hosted, ืฉืื ื-data ื ืฉืืจ ืืขื ื ืฉื ืืืงืื, ืืื ืขื ืื ืืืื ืืืจืฆืืืช ืฉืืืืืืช ืืชืช ืืช ื-edge ืืขืกืงื ืฉืืืืข ืืื ืืืช Agent Workflow ืืขื ืฉืืืืช ืืืงืืืืช. ืืืจืื ืืืชืจ ืืื ื Gong ืื ืืืื ืืืจืื.














