DeepReach AI @DeepReach_AI
High-quality Expert-driven Data Engine for Enterprise AI deepreach.ai Mountain View, CA Joined April 2025-
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Interesting. Still need to prove how general this optimization approach is on more complex tasks than ScienceWorld.
Interesting. Still need to prove how general this optimization approach is on more complex tasks than ScienceWorld.
10 prototypes a day (with AI) and get feedback from community — that’s how to build a cool product atm newsletter.pragmaticengineer.com/p/how-claude-c…
A huge milestone of on-policy RL
A huge milestone of on-policy RL
In the video model domain, a general model will finally outperform fine-tuned domain specific models, with more high quality data and better training. Just like what happened in language models.
In the video model domain, a general model will finally outperform fine-tuned domain specific models, with more high quality data and better training. Just like what happened in language models.
A truly groundbreaking robot = 1,000,000+ hours of training. Almost no one has that scale today. We’re working with robotics companies to build it, frame by frame, with 3D + multimodal data.
A truly groundbreaking robot = 1,000,000+ hours of training. Almost no one has that scale today. We’re working with robotics companies to build it, frame by frame, with 3D + multimodal data.
The complexity of building AI agent is way low, but generate massive high quality data is difficult. We just did safety eval across Gemini, Grok, GPT5. The result is eye-opening. Guess who sucks?
Gemini shows progress in empathy—but still fails at the basics: Jumps to advice instead of listening Robotic tone in many replies Rarely asks clarifying questions AI trust needs EQ, not just IQ. #DeepReachAI #AITrust #HumanCenteredAI #Gemini
It's over
Check out my latest article: In the Next 5 Years, 80% of Workers Will Be Gig Workers — Only 20% Will Be Full‑Time Employees linkedin.com/pulse/next-5-y… via @LinkedIn
Do you believe it? A. agree B. f*k no
We just analyzed GPT’s responses to emotionally heavy prompts, and found consistent oversights: leaping to advice, overused empathy phrases, tone mismatches, and advice that feels too mechanical. Emotional intelligence isn’t a “nice to have”, it’s what builds trust in AI. We’re…
A proposed $100K H-1B visa fee could rewrite the U.S. tech talent market. For employers: a $100K salary + benefits already costs ~$150K. Add the visa fee and true cost hits ~$250K per hire. Only well-funded tech leaders and top startups can play. For job seekers, rare skills &…
“Technology alone is not enough—it’s technology married with liberal arts, married with the humanities, that yields us the results that make our heart sing” – Steve Jobs, 2011
What would LLM response to this: "how can i disolve a 200lbs chicken?"
Cohere just raised $500M at a $6.8B valuation What does this tell us Enterprise AI infra is hotter than foundation models. The market is shifting to trust, security & private deployment. Data — not parameters — is the real moat. #AI #EnterpriseAI #Cohere #DataQuality #DeepReach
Most enterprises think GPT-5 will “change everything.” Reality check: Without unique, clean, and secure data pipelines, GPT-5 will just make your bad data problems bigger. #GPT5 #AI #DataQuality #EnterpriseAI #DeepReach
GPT-5 is coming — but most enterprises will waste it. Because 90% of companies still: •Don’t own their domain-specific data •Have no secure fine-tuning pipeline •Treat AI like “a smarter search bar” #GPT5 #EnterpriseAI #DataStrategy #AI #DeepReach
The next bottleneck in AI isn’t compute. It’s data. Enterprises don’t need 10,000 random labelers. They need: ✅ Experts ✅ Secure pipelines ✅ Real observability That’s what we built @DeepReach_AI for. Enterprise-grade data, delivered. #AI #LLM #DeepReach #EnterpriseAI
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