Tsolmon J

[Tsolmon J @TsomooJ]

@bcherny How is @claudeai protecting sensitive info like SSN?

[Tsolmon J @TsomooJ]

@TiffnyMichelle @RealKidPoker Keep being strong! ❤️❤️❤️

[Tsolmon J @TsomooJ]

@HarryStebbings Agree. Just look at the leaked OpenAI numbers. Just inference costs are more than their revenue.

[Tsolmon J @TsomooJ]

@stevejang great idea!

[Tsolmon J @TsomooJ]

@elonmusk super interesting idea

[Tsolmon J @TsomooJ]

@ClubWPTGold This is a really poorly thought out idea. Defeats the whole purpose of playing poker. Can you imagine this feature in a live poker?

[Tsolmon J @TsomooJ]

I have been a power user of @perplexity_ai for a while and I got early access to their new browser Comet. It’s a game changer! Everything can be analyzed or turned into a task right in your browser. Cool stuff!

[Tsolmon J @TsomooJ]

@chamath Great idea!

[Anthony Goldbloom @antgoldbloom]

Looking at job posts over the last year, it looks like Amazon is making the broadest AI investment. 228 teams across the company posted jobs with GenAI projects over the past year, considerably more than any other company. https://t.co/aOYjKfD6OJ

Most interest is the breadth of teams and use cases. They made posts from the core research teams, Alexa, customer service, seller experience, fulfillment, and catalog selection teams (full list: https://t.co/1UnE6iY9IE).

Some examples:
- Creative X Team: generating high-quality text, images and video for advertisers (https://t.co/ymi1eMXrba)
- Geospatial Science Team: for global address parsing and validation (https://t.co/UtSm8AX6DD)
- Selection and Catalog Systems Team: improve the completeness and correctness of product data for Amazon shoppers (https://t.co/3Ll3SYFYli)

[AIX Ventures @aixventureshq]

AIX is a new kind of venture firm where leaders in AI push the field forward together. Do you want to learn more about investing in this field? AIX Ventures Partner @RichardSocher chats about this and more with @RaoulGMI in this recent podcast episode.

[AIX Ventures @aixventureshq]

AIX Ventures Partner @antgoldbloom's latest blog post points to a prime opportunity for Gen AI startups: data analytics and decision support. At AIX Ventures, we’re watching this emerging space closely, ready to back founders turning data into smarter decisions.

[Anthony Goldbloom @antgoldbloom]

The overlooked GenAI use case: cleaning, processing, and analyzing data.
https://t.co/j9hFXWJvvF

Job post data tell us what companies plan to do with GenAI. The most common use case is data analytics projects. Examples:

- AstraZeneca: using LLMs on freeform documents to structure results from their Extractables & Leachables testing (https://t.co/wbamJnQEEN)

- Trafigura: The Document AI team is using LLMs to extract data from a corpus of commodity trading documents to generate credit reports
(https://t.co/mujn0ksa90)

The startup ecosystem is overlooking this use case, instead focusing on other areas such as customer support, sales & marketing and code gen.

[Richard Socher @RichardSocher]

Thank you @PeterDiamandis for a great conversation with @kaifulee and @premakkaraju at @FIIKSA #FII8
https://t.co/wPfVsAFCyo

[Richard Socher @RichardSocher]

you(dot)com is more than a search engine replacement - it's a productivity engine.

We're partnering with companies for full AI transformation, merging public and internal knowledge to boost productivity across functions.
Our approach:
• Flexible, consumption-based pricing
• Workshops for leadership across departments
• AI delegation training for all employees

This new software category complements AI-infused existing tools. We're excited to help companies future-proof with the latest models, all available in one place.

[Richard Socher @RichardSocher]

AI agents will soon automate most repetitive tasks, freeing us for more impactful, creative work.

Jobs requiring intelligence but following repetitive patterns will change. Companies and individuals embracing this shift will become more efficient and excel.

Focus on results, not time spent at your desk.

[Richard Socher @RichardSocher]

Launching advanced RAG source control on you(dot)com.
Choose your sources, and get amazing answers you can trust. Add web access to any AI model, too.

What's new when you click the ➕ in the query bar:
⚙️ Custom web sources: include/exclude specific web sources (this is a big unlock for use cases on top of your company's website)
🔍 Advanced web access featuring Deep Search (analyzes full pages, not just snippets)
📁 Upload and search your files (up to 50MB) per query
🌐 Supplement with our broader web search or turn it off
🧩 More integrations are coming soon!

Simple but powerful: You decide where the AI gets information from.

Try it out - let me know what you think. 🤙

[Richard Socher @RichardSocher]

We don't call you(dot)com a "search engine" anymore.

We're focused on where you can be 10x better than a search engine. AI Agents have helped us move way beyond simple search functionalities.

With YDC, you can replace 10+ Google searches with a single query where an agent will scour the web and deliver a comprehensive, well-cited report. We have an agent that can also write and run code to solve complex problems. You can also create your custom agent for specific tasks.

We're making you more productive, so we call it a productivity engine.

[Tsolmon J @TsomooJ]

@MonjiBatmunkh @youdotcom @perplexity_ai I see. Yeah, it would prob take a few years for that.

[AIX Ventures @aixventureshq]

“Reinforcement learning from human feedback enabled the ChatGPT moment, and this moment changed the world." —@chrmanning, AIX Ventures Partner

[Richard Socher @RichardSocher]

AI is transforming scientific fields into engineering disciplines. We just saw two Nobel Prizes in chemistry and physics for AI-related research this month.

This shift allows us to better understand and creatively explore these domains. As we replicate and engineer scientific concepts with AI, we gain deeper insights.

My upcoming book, Eureka Machine, explores AI's impact on physics, chemistry, and biology. While software advances quickly, hardware and wetware progress more slowly. Still, AI is accelerating drug development, reducing animal testing, and improving patient outcomes.