My mind was blown twice today 🤯.
First, I vibe coded an aggregator site AND a Hubspot app while my kid doing her gym class.
The second time was seeing how full my 10:30pm @IMAX booking for @odysseymovie is.
I'll be at @iclr_conf next week 🇧🇷 would love to catch up if you're going!
Will be at the I Can't Believe It's Not Better (😂) Workshop where @schottkey and @JohnJBurden are presenting 'The Missing Red Line: How Commercial Pressure Erodes AI Safety Boundaries' (
https://t.co/jjDgPhJMI1), finding frontier language models' safety training can be eroded via benign commercial directives;
and I'll be at the poster sessions throughout the week, including to see Rahul Marchand, @HarryCoppock , and Jason Gwartz exhibiting 'Quantifying Frontier LLM Capabilities for Container Sandbox Escape' (
https://t.co/jBAPO1RQXr), an eval for assessing the ability of language model agents to liberate themselves from Docker and k8s by discovering and exploiting known container vulnerabilities
'Is this a bot?' 🤥 Will frontier AI in third-party chat assistants claim to be human if their operator instructs them to? Will they lie even wo such an instruction?
When 100 models score identically on benchmarks, how do you pick one?
Part 2 of the Frontier Series with Henry Conklin and Tom Hosking (@Princeton / @Cohere) is out - this time on why behavioral evaluation may not be the right signal.
Watch → https://t.co/T4ngNvMsQw
In the latest episode of The Frontier Series, Henry Conklin (@Princeton / @Cohere) and Tom Hosking (@Cohere) make the case for LLM training as lossy compression - and what that means for interpretability.
Recorded at #ICLR2026. Watch here → https://t.co/98kKB24bDf
Congratulations to our AI researchers Nora Petrova and John Burden whose paper has been accepted as a spotlight paper at @icmlconf 2026 🎉
"Pressure Reveals Character" tests how frontier models behave under realistic pressure, not just what they say they'd do.
Our senior product managers Adam and Emilio will also be running a masterclass: from question to live human data in minutes - no research ops team required.
Details here: https://t.co/9RGsf374lw
Look forward to meeting many of you there!
I am happy to introduce AI co-clinician,
@GoogleDeepMind's research initiative to explore how AI could better amplify doctor's expertise and help deliver higher quality care to patients.
We’re excited about our early results, and are taking a phased approach to our research explorations with academic and research collaborators.
Read more in our blog: https://t.co/OVPDordxTw
Guests exchanged perspectives on the ideas shaping responsible AI research over great food and even better views during @iclr_conf week.
Special thank you to AI Circle for co-hosting and to the brilliant guests who joined us! #ICLR2026
Thank you to everyone who participated in the main #ICLR2026 conference 👏 Looking forward to seeing you all during the workshop days! https://t.co/nUgpxsS3Y4
Today, we closed our latest funding round with $122 billion in committed capital at an $852B post-money valuation.
The fastest way to expand AI’s benefits is to put useful intelligence in people’s hands early and let access compound globally.
This funding gives us resources to lead at scale. https://t.co/sY7YNUPSYO
Starting today, if an AI agent is detected in your Prolific study, we’ll give you twice the cost of that non-human participant back.
You pay for human data. You expect human data. We’re backing that with our 100% Human Guarantee.
Learn more: https://t.co/cdN8pJ7Ius