Tech Talk NOW

What is NEW and upcoming in the tech world! What should we be using and what’s worth a look in 2025 and beyond!👀

[Jeffrey Weichsel @jeffreyweichsel]

This is why high quality expert data is so important. Data, compute, and implementation are the most valuable layers of AI.

@Turing produces the most realistic and complex long context knowledge tasks and implements AI in enterprises. This is a self reinforcing cycle.

[Turing @turingcom]

Hot Take: the best #CVPR conversations happen off the conference floor.

Turing is hosting a Happy Hour in Denver for researchers and enterprise AI leaders. Drinks, hors d'oeuvres, and real talk on LLMs and the future of AI.

DM us for details. Spots are limited.

[Turing @turingcom]

Hope to see you: https://t.co/xxKu4cXCRo

[Vivek Gupta @keviv9]

🚀 GRAIL-V @ CVPR 2026 is today!

Join us June 3, 7:30 AM–12:30 PM in Hall 506 for Grounded Retrieval and Agentic Intelligence for Vision Language.

Invited talks, papers, posters, and an industry panel - plus Oracle AI social at @CVPR 2026!

Thanks to @Oracle AI and @turingcom for supporting GRAIL-V, and to @turingcom for sponsoring the Best Paper and Outstanding Paper Awards.

🔗 https://t.co/xcnPC8PIZr

P.S. In true #CVPR2026 spirit, the poster had a little AI magic - forgive any visual glitches. The details are real, even if a few pixels got creative.

with @amitpinaki

[Juhi Parekh @juhiparekh94]

Built this to push the frontier!!! 🚀

cc @jonsidd @anshulbhagi @turingcom

[Jonathan Siddharth @jonsidd]

Without context, agents are confident guessers. True.

@paulg is right that AI-native companies won’t have this knowledge stuck in people’s heads. But the knowledge that matters is the failure you haven’t seen yet. The enterprise is too vast to map up front, so models keep breaking in new ways in production.

You don’t extract context once. You catch each failure and feed it back. A loop, not a setup step. It runs for decades.

This is why Turing does both data and deployment.

[Turing @turingcom]

AI is not replacing the human element of HR. It is amplifying it.

Our SVP @TaylorFromHR sat down with @GoogleWorkspace to share how Turing's People team is transforming HR with AI:
- 33% faster help desk response times
- 80% of support tickets handled by AI assistants
- A lean team scaling a highly complex global talent strategy.

The real story behind it? Failing, iterating, and pushing forward.

Watch more below:

[Turing @turingcom]

@TaylorFromHR @GoogleWorkspace https://t.co/6ZfcePJWeT

[Turing @turingcom]

https://t.co/CXqVBXvlli

[Google Workspace @GoogleWorkspace]

The AI tips you love, now from the people putting them into practice every day.

Introducing Customer AI Boost Bites: a new video series featuring real business leaders sharing how they use Gemini, NotebookLM, Gems, and more to solve challenges and save time.

Start with Taylor Bradley, VP of People at @turingcom, and learn how to build a Strategic Challenger Gem to pressure-test ideas in minutes. 💡 https://t.co/hQEQlWpwHk

[Turing @turingcom]

The energy at ICLR in Rio was incredible!

From researchers pushing the boundaries of AI to conversations about what's coming next, every interaction reminded us why this community matters.

Next stop: @ICMLConf in Seoul.🇰🇷

We're excited to keep the conversation going.

See you there!

[Turing @turingcom]

MMLU is saturated. HLE is getting there.

We built Multimodal STEM HLE++: for what comes next, and the top frontier labs publishing SOTA models are already using it.

1,100 PhD-level multimodal STEM problems that break Opus 4.6. Around 20% pass@1 on SOTA. Hard enough to expose reasoning failures. Solvable enough to generate real RL signal.

Every problem requires joint reasoning over images and text, has a deterministic ground-truth answer, and was authored by a PhD-level domain specialist.

50-task public sample on @HuggingFace.
Full pack available now. Links below.

[Turing @turingcom]

Hugging Face: https://t.co/A1Uvpcg2Do

[Turing @turingcom]

To view this and additional datasets: https://t.co/3lRHD7SunH

[Jeffrey Weichsel @jeffreyweichsel]

Exactly.

Without good data, you cannot have deployment

Deployment gets you more high quality data

This is the real world AI feedback loop, and @turingcom is the leader

[Turing @turingcom]

Our CEO @jonsidd recently spoke with @politico about what's actually driving progress in AI, and what most people get wrong about synthetic data.

Short version: real-world deployment is where models get better. Human-AI hybrid data pipelines beat pure synthetic. And we need to rethink education before superintelligence arrives.

Full interview below.

[Turing @turingcom]

https://t.co/UXYrSvTVFv

[Turing @turingcom]

Earlier this week, @Turingcom brought together AI researchers and enterprise AI leaders for an evening of honest conversation about where LLMs are headed and what it takes to build real-world AI systems.

Good people, good conversations & a lot of alignment on how much the space is moving.
We’ll be doing it again.

Stay tuned for the next date and register early.

[Jaya Gupta @JayaGup10]

Cost is so back

[StoreClaw @StoreClawAI]

The @TheAIJournal1 put it simply: when you're not using your AI tool, what is it doing?

For most tools, nothing. @StoreClawAI doesn't wait.

Listings adjusted. Competitors scanned. Briefing ready. All before your first coffee.

This is the shift from copilot to autopilot. The window to move first is open now.

Full read below.