Jonathan Siddharth
@jonsidd
Founder & CEO, Turing — accelerating AGI advancement & deployment. We generate the best data to train models, build AI applications and deliver elite AI talent.
Turing’s launching an exciting series called AGI Icons. 🎉 For our inaugural event, I’m doing a fireside chat with Sam Altman @sama, CEO & Co-founder of @OpenAI the company that sparked the GenAI revolution with ChatGPT. 🚀 I’m a huge fan of OpenAI and their work building…
The ASI race will define national advantage. Turing is helping America win it. We’re building the AI systems that matter most, where precision, security, and scale aren’t optional. Trusted by top AI Labs and Fortune 500 companies, we move frontier AI from research to real-world…
‘No Time to Die’ is my favorite Bond theme song of all time. What’s yours?
If you want to start a software startup, you should still learn to program. Even if AI writes most of your code, you'll still be in the position of an engineering manager, and to be a good engineering manager you have to be a programmer yourself.
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If you want to start a software startup, you should still learn to program. Even if AI writes most of your code, you'll still be in the position of an engineering manager, and to be a good engineering manager you have to be a programmer yourself.
This is why companies like Meta, OpenAI, xAI, Gemini are all using @turingcom — they have the expert brain power.
Watching → the quiet transformation of the data pipeline Something underdiscussed is the fundamental shift in how AI is labelled & trained for the next era of intelligence.. As we move toward Superintelligence or 'ASI', AI models don’t just need more data.. they need…
@turingcom 's edge? Human intelligence. The flywheel: elite PhDs + expert-labeled data. Meta, OpenAI, Gemini are already onboard. This is how they out-scale the competition. x.com/jonsidd/status…
There is a fundamental shift in the data needs to power ASI. Simple data is over. It's now the era of complex, real world & diverse data generated by research accelerators. Turing is proud to help America lead the race to ASI by partnering with all the top frontier Al labs. 🇺🇸
Advanced version of Gemini Deep Think (announced at #GoogleIO) using parallel inference time computation achieved gold-medal performance at IMO, solving 5/6 problems with rigorous proofs as verified by official IMO judges! Congrats to all involved! deepmind.google/discover/blog/…
Awesome! Yep, we need better data for AI, not the self-contradictory mess we have right now. We shared the half a dozen unicorns ideas that lead to the ultimate intelligence by the way
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we will cross well over 1 million GPUs brought online by the end of this year! very proud of the team but now they better get to work figuring out how to 100x that lol
You can tell the RL is done properly when the models cease to speak English in their chain of thought
There is a fundamental shift in the data needs to power ASI. Simple data is over. It's now the era of complex, real world & diverse data generated by research accelerators. Turing is proud to help America lead the race to ASI by partnering with all the top frontier Al labs. 🇺🇸
Watching → the quiet transformation of the data pipeline Something underdiscussed is the fundamental shift in how AI is labelled & trained for the next era of intelligence.. As we move toward Superintelligence or 'ASI', AI models don’t just need more data.. they need…
Watching → the quiet transformation of the data pipeline Something underdiscussed is the fundamental shift in how AI is labelled & trained for the next era of intelligence.. As we move toward Superintelligence or 'ASI', AI models don’t just need more data.. they need…
It’s hard to overstate the significance of this. It may end up looking like a “moon‑landing moment” for AI. Just to spell it out as clearly as possible: a next-word prediction machine (because that's really what it is here, no tools no nothing) just produced genuinely creative…
1/N I’m excited to share that our latest @OpenAI experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world’s most prestigious math competition—the International Math Olympiad (IMO).
1/N I’m excited to share that our latest @OpenAI experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world’s most prestigious math competition—the International Math Olympiad (IMO).
Congrats @OpenAI on achieving gold medal level performance on the International Math Olympiad! Exciting milestone for reasoning models in AI.
1/N I’m excited to share that our latest @OpenAI experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world’s most prestigious math competition—the International Math Olympiad (IMO).
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We now have enough money to hire one part-time AI researcher
Solve these 4 pillars of ASI: 1 Multimodality 2 Reasoning 3 Tool use 4 Coding and you can automate any workflow, even complex financial processes. @turingcom is excited to partner with @AnthropicAI to make this vision real.
We've launched Claude for Financial Services. Claude now integrates with leading data platforms and industry providers for real-time access to comprehensive financial information, verified across internal and industry sources.