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A billion people produce the most valuable dataset in the world every day – and delete it every night.
We’re recording it.
Introducing @AttentionInc
Aidan Guo retweeted
Today, @BabaHQ raised a $40M Series A.
We give each Medicare member and their family a dedicated team of advocates and behavioral health experts to keep every part of their care moving forward.
In a world obsessed with AI personal assistants, it’s never been more important to have expert humans in the loop to go the last mile, particularly in healthcare.
Aidan Guo retweeted
Everyone’s chatbot can book a doctor’s appointment.
The real test is whether you can earn the trust of a Spanish-speaking diabetic woman, walk her through a Medicaid application while finding her secure housing, and coach her into choosing a 12oz (instead of 16oz) soda along the way.
Today we’re sharing BabaBench, a benchmark measuring how frontier models perform the real work of healthcare coordination. Our synthetic worlds are built from annotations by Baba’s in-house team of hundreds of expert doctors, therapists, nurses, and social workers.
Turns out, AI alone isn’t ready to replace human care coordination.
Aidan Guo retweeted
Introducing Generative Commerce.
@daletlabs – at New York, NY
Aidan Guo retweeted
Today, we’re expanding @SnorkelAI’s Open Benchmarks Grants by 10x to a $30M commitment:
- Funding a more diverse, robust, and continuously-updated ecosystem of open benchmarks
- Launching the Open Benchmarks Red Team to continually test and strengthen them
- Introducing the Snorkel Research Fellowship to support independent contributors developing new evaluation methods
Since our launch earlier this year, we’ve been humbled to partner with the teams behind Terminal-Bench, TB-Science, ARC-AGI-3, OSWorld 2.0, Agents’ Last Exam, Continual Learning Bench, Senior SWE-Bench, SlopCodeBench, and more. Alongside these teams, we’ve helped design evaluation methodologies, develop task construction pipelines, and scale quality control. OBG-funded benchmarks have appeared on the latest model cards from every major frontier lab; have helped to index and measure frontier progress and alignment; and have contributed to guiding the frontier of AI development.
Benchmarks have always been guideposts for—and drivers of— AI progress: setting a metric and then “hillclimbing” against it is the core of how AI works! But when benchmarks fall behind frontier capabilities, our ability to evaluate and align these systems does as well. They become too simple, static, or correlated, and the risk of “benchmaxxing” increases.
We need more diverse, robust, and continuously-updated benchmarks, developed by a broader ecosystem of researchers and domain leaders.
We’re incredibly excited to accelerate frontier evaluation with Open Benchmarks Grants— raising the ambition and investment in robust, open, and independent measurement. Read our full announcement and apply here: benchmarks.snorkel.ai/fronti…
Aidan Guo retweeted
Today, we announce our $25M fundraise to build the future of creative work.
For all of history, what you could create was dictated by the resources accessible to you.
That's why we built @trymelius, the agents lab for creatives, to tear down that constraint and let agents leverage generative models to bring all your ideas to life.
So that anyone can make anything.
Huge thanks to @yuris at @generalcatalyst and @verorellana02 + @reidRMC at @CRV for leading the round, and to @gefkovicz + @benmtaft at @geniusventures, @amosk1120 + @adamvalkin at @VineVenturesLP, @jakepaul + @geoffwoo at @antifund, @rauchg, @bykahlil and many more amazing investors for taking a bet on us.
Aidan Guo retweeted
The 2026 Exceptional 100 is now live! 🚀 For the third year in a row, we are spotlighting 100 standout engineering and product builders at some of the fastest-growing companies in tech. These are the people architecting high-impact internal infrastructure and shipping key features and products daily.
View the full list at: exceptional100.com
Fun facts: Exceptional has funded 3 founders from prior years, and members of past cohorts have gone on to raise over +$2B in total funding!
Beyond the list, the report covers our analysis of what the data shows regarding today's top technical talent:
→ Geography and education
→ Roles, skills, and personal attributes that stand out
→ Emerging trends shaping the talent landscape
→ How talent is moving between companies, and into founding teams
→ Talent migration for prior cohorts
Huge congratulations to everyone on this year's list! And remember, if you have a high conviction idea, reach out to us any time, we want to be your first supporters!
@TheNestVC @Marell @grahaminhoo @fresco_inferno
Aidan Guo retweeted
Introducing Core, The Personal Al Computer
The most powerful technology humanity has built should belong to you
Order today: ghost.ai
Aidan Guo retweeted
Create and play mashups with friends in one click.
Introducing Melty!
Readers added context they thought people might want to know
Melty doesn't make the mashups it shows. Its Terms (§1, §6) say mashups come from outside creators, aren't reviewed or scanned for malware, and run with full access to your PC. The Minecraft-in-Elden-Ring mod is by Tobyn Jacobs.
melty.gg/terms
tweaktown.com/news/113855/
x.com/Wubbity/status…
Aidan Guo retweeted
I'm starting a podcast, "Confession," where I invite tech veterans to share their painful lessons.
We all connect through shared pain. Hear founders & CEOs like Satya Nadella (Microsoft), Dara Khosrowshahi (Uber), Luana Lopes Lara (Kalshi), and others share their stories and lessons learned.
Subscribe to Confession on...
✅ Spotify: open.spotify.com/show/6x2J7r…
✅ Youtube: youtube.com/watch?v=sd5spHYX…
✅ Apple: podcasts.apple.com/us/podcas…
@SatyaNadella @Dkhos @luanalopeslara
Aidan Guo retweeted
Introducing Griffin, the first model to pass the video Turing test.
48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video.
It’s the first Human Interaction Model (HIM).
Readers added context they thought people might want to know
The 48% figure and "video Turing test" claim are from Tavus's own study of 54 one-minute calls, not independently verified or using a standard protocol. Griffin-Lite leads NVIDIA's VideoFDB benchmark on their public leaderboard.
cellcog.ai/blog/tavus-gri…
research.nvidia.com/labs/amri/proj…
tech-ish.com/2026/10/02/tav…
Aidan Guo retweeted
Today we're announcing $75M to build Solcoa One, our 500-tonne rare earth metallization plant in Nevada.
At Solcoa, we believe rare earths are the foundation of America's next great industrial era. An era we intend to win on the merits, with superior American technology.
Aidan Guo retweeted
I'm excited to announce @SnorkelAI's $350M Series E at $3.5B, led by @insightpartners and @S32_VC.
We've grown 18x+ in the last 12 months since launching our Data-as-a-Service offering, passing $375M ARRR this week.
As AI advances to superhuman capabilities, AI data & environment development must advance with it - and basic staffing and crowdsourcing approaches are not enough.
AI progress now requires deep research and technology work that combines human expertise with specialized AI in compounding ways. @SnorkelAI is building the RSI data engine and frontier data lab for this next phase.
We're honored to have the support of existing investors Addition, @lightspeedvp, @GreylockVC, @GVteam, P7, Factory, @WellsFargo, Walden Catalyst Ventures, and new investors @ThirdPointLLC, @MarchCPs, @BlumbergCapital, @AllegisCapital, @Frontlinevc, and @standard_vc.
–
@SnorkelAI started as a research project a decade ago at @StanfordAILab.
Our thesis was simple: AI progress would become increasingly data-centric – and therefore data development should be studied as a true research and technology problem, not just a staffing and crowdsourcing one.
Today, as AI capabilities verge on superhuman, building the data and environments to safely measure and train AI is becoming too hard for even the smartest human experts to do alone.
Only humans and AI agents, collaborating together in compounding ways, can meet the accelerating needs of the frontier, and keep humans in the driver’s seat of AI progress for decades to come.
At @SnorkelAI, we are building the data lab to define the shape of this new “Data 2.0” frontier, and the new paradigms of human-computer interaction needed to advance it.
Our key focus is building the RSI engine for data, where specialized AI models accelerate and improve human expert output, and in turn, scaled human supervision is used to continuously evaluate and improve these models – creating a powerful compounding loop to keep pace with an accelerating RSI frontier.
With this round of funding, we are also doubling down on our commitments to support data development for open benchmarking and evaluation (more news here soon!); an increasingly diverse ecosystem of general and specialized intelligence; and a path to safe, well-aligned AI built on robust training and evaluation data.
Data development will guide and drive the next stages of AI – and must do so in a human-centric, AI accelerated, open, diverse, and safe way. We are excited to support this mission in the next decade of research ahead at @SnorkelAI.
More thoughts here: snorkel.ai/blog/data-2-0-and…
Aidan Guo retweeted
Prompting is temporary. We believe the future of computer use is completely unprompted.
Introducing our latest research: a browser agent that predicts your next action from only the current page and your recent history.
Aidan Guo retweeted
We have raised $200M at a $5B valuation to scale self-improving software development in the enterprise.
@FactoryAI has grown to serve hundreds of thousands of developers at companies including RBC, Adobe, Nvidia, T-Mobile, and Palo Alto Networks.
We will use this capital to accelerate our investments in research, product, and global go-to-market.
Aidan Guo retweeted
The idea that two or three Silicon Valley companies should act as the creator, gatekeeper, and rulemaker of AI for every government on earth doesn't survive being said out loud. cohere.com/blog/who-gets-to-…
Aidan Guo retweeted
$70M+ in ad spend is already supported by Hypesonic.
Today we're officially introducing it: the world's most powerful self-improving ads and content engine.
It reads your ad data, competitors, what's viral, does deep research on your customers. Then it creates image and video ads the data says will win, and launches them.
RT + Comment "Hypesonic" and we'll send over one week free access.
Aidan Guo retweeted
Introducing Devin Voice 🦦 ☎️
Your favorite AI software engineer just got a landline.
You say it, Devin ships it.
Powered by GPT-Live and our new SWE-2 model.
Aidan Guo retweeted
Introducing SWE-2, our closest model yet to the frontier.
On leading evals, it scores on par with recent frontier models – at up to 70% lower cost.
We scaled RL to multiple trillions of parameters, with a refined recipe that pushes the Pareto curve on both capabilities & cost.
Aidan Guo retweeted
Today marks exactly 1 year since we introduced Poke to the world.
Since then, people have exchanged over 200M messages with Poke, with millions more every week.
Can’t wait to share where our joint journey with @Cognition is headed! 🦦🌴
Poke is inevitable 🌴
there’s 100 reasons @interaction might lose as a company, from getting banned by messaging platforms to getting sued for price discrimination
but Poke as a product is inevitable:
> a single-threaded ai w all context in one place – simple and just like you talk to other humans
> constantly running inference on live context like email/calendar
> proactively offering you help, from checking you into flights to updating calendar invites, linear issues, notion docs, and responding to emails
> right in your existing, familiar interface, with a high degree of spatial awareness (which platform did the msg come from, what time/location)
> talking like your human friends instead of a sycophantic version of C-3PO
> knowing you frighteningly well:
→ what you’re working on w which deadlines, and what are jobs and studies you’ve prev pursued
→ how you slept every morning (via whoop/oura) and what music you listen to (via spotify)
→ what you tweet and post on socials
→ which newsletters you read and creators/topics you follow
→ who your family, friends, and coworkers are
→ …
becomes painfully obvious once you’ve tried it for a week.
no normie wants to go into an app where they start from a blank conversation every time for everyday requests. no one wants a three-page em-dash-filled report about the history of the US dollar when just asking for a conversion rate.
and rec’s for restaurants, purchases, things to do will be so much better from someone who knows what else you like from email receipts and travel itineraries
i don’t know yet if we’ll be the ones winning this market, or if apple/google at some point ban us and copy our ux.
but i’m betting everything on this becoming the biggest consumer product of our time.
build the future and join us in palo alto:
interaction.co/jobs
