Jacob Effron

703 posts

Jacob Effron

Jacob Effron

@jacobeffron

Managing Director @redpoint supporting @AbridgeHQ @wearelegora @tryaugie @tryramp @getgarner @AcuityMD @scribehow / AI pod: Unsupervised Learning

Katılım Mart 2011
639 Takip Edilen4.3K Takipçiler
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Jacob Effron
Jacob Effron@jacobeffron·
New Unsupervised Learning with Google AI researchers @NoamShazeer and @jack_w_rae on: - Scaling test-time compute - The power of the Mom eval - The pace of Open Source / DeepSeek - How AI research is where chemistry was in the 15th century - Reactions to Ilya on how far test-time compute gets us and Yann LeCun on the limits of models today - General vs. specialized models - Implications of AGI and risks YouTube: youtu.be/atMRWzgHEGg Spotify: bit.ly/3DNO2GC Apple: bit.ly/41MW2j2
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Jacob Effron
Jacob Effron@jacobeffron·
.@OriolVinyalsML on his favorite model evals: give them the instruction manual for a game like Civilization and have them play it.
Jacob Effron@jacobeffron

The day after Google I/O, I sat down with @OriolVinyalsML to get into the research behind the announcements and what's next in consumer agents, models, RL and more. Oriol co-leads the Gemini program, and has helped shape some of Google’s most consequential AI decisions. We hit on: ▪️ Why Google's AGI path runs through world models ▪️ The GPT moment for video and images, and why it hasn't happened yet ▪️ Why agent scaffolding being built now now will eventually get written by the model itself ▪️ How he thinks memory will be solved and drive the next paradigm shift in models ▪️ Where RL hits a ceiling, ▪️ What’s surprised him most in AI YouTube: youtu.be/NQczevdpxq0 Spotify: bit.ly/4a54I9s Apple: bit.ly/4u9CzWh

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Jacob Effron
Jacob Effron@jacobeffron·
.@OriolVinyalsML on what The Bitter Lesson predicts for agent architectures:
Jacob Effron@jacobeffron

The day after Google I/O, I sat down with @OriolVinyalsML to get into the research behind the announcements and what's next in consumer agents, models, RL and more. Oriol co-leads the Gemini program, and has helped shape some of Google’s most consequential AI decisions. We hit on: ▪️ Why Google's AGI path runs through world models ▪️ The GPT moment for video and images, and why it hasn't happened yet ▪️ Why agent scaffolding being built now now will eventually get written by the model itself ▪️ How he thinks memory will be solved and drive the next paradigm shift in models ▪️ Where RL hits a ceiling, ▪️ What’s surprised him most in AI YouTube: youtu.be/NQczevdpxq0 Spotify: bit.ly/4a54I9s Apple: bit.ly/4u9CzWh

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Jacob Effron
Jacob Effron@jacobeffron·
The day after Google I/O, I sat down with @OriolVinyalsML to get into the research behind the announcements and what's next in consumer agents, models, RL and more. Oriol co-leads the Gemini program, and has helped shape some of Google’s most consequential AI decisions. We hit on: ▪️ Why Google's AGI path runs through world models ▪️ The GPT moment for video and images, and why it hasn't happened yet ▪️ Why agent scaffolding being built now now will eventually get written by the model itself ▪️ How he thinks memory will be solved and drive the next paradigm shift in models ▪️ Where RL hits a ceiling, ▪️ What’s surprised him most in AI YouTube: youtu.be/NQczevdpxq0 Spotify: bit.ly/4a54I9s Apple: bit.ly/4u9CzWh
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Redpoint
Redpoint@Redpoint·
We're honored to deepen our partnership with @modal and co-lead their $355M Series C! When @bernhardsson and @akshat_b started Modal in 2021, they had conviction that building a truly great cloud for AI meant rebuilding the entire stack from the ground up. Five years later, that bet has paid off. Erik built the recommendation system behind Discover Weekly at Spotify. Akshat was an early engineer at Scale AI before joining Erik as co-founder and CTO. Together, they've assembled what one engineer affectionately calls "a monastery for super nerds" and it shows in the product. Modal has become the high-performance cloud that serious AI teams reach for when they need to ship. We couldn't be more excited to continue backing them. Huge congratulations to Erik, Akshat, and the entire Modal team!
Modal@modal

x.com/i/article/2057…

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Jacob Effron
Jacob Effron@jacobeffron·
"Meta realized they'd fallen behind a little bit, and that refocused the strategy." @ylecun on why he left Meta to keep pushing JEPA.
Jacob Effron@jacobeffron

It’s hard to imagine more of a dream Unsupervised Learning guest than @ylecun. Yann is one of the godfathers of AI, and he has some fascinating contrarian views on the limitations of LLMs. It was incredible to get to have a wide-ranging discussion with Yann about these views, reflections on his time at Meta and departure and what’s next for him. We hit on: ▪️ LLM limitations and a path forward for robotics ▪️ Why he left Meta ▪️ How he came to so dramatically disagree with his Turing co-laureates Geoff Hinton and Yoshua Bengio on LLMs ▪️ His predictions for 2027 ▪️ His new company AMI and the bet on world models ▪️ Why he compares OpenAI and Anthropic to Sun Microsystems ▪️ Why he tells PhD students to stop working on LLMs Plus some sharp views on the current safety discourse, how breakthrough research actually happens and what FAIR got right and wrong. YouTube: youtu.be/ngBraLDqzdI Spotify: bit.ly/4dL8fvT Apple: bit.ly/4wxgpiX

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Max Junestrand
Max Junestrand@MaxJunestrand·
Excited to announce that @zeynepinanoglu is joining @WeAreLegora as our Chief Marketing Officer. Zeynep ran marketing at Atlassian — a 450-person marketing org at USD 6B+ ARR. Before that, she was CMO at Palo Alto Networks, where she helped take the company through a 5x increase in market cap while defining entirely new categories from scratch. Those numbers are rare. But what impressed me the most in our conversations was something harder to find: she thinks like a builder. She's led PLG motions with direct revenue accountability. She's operated at scale without losing the instinct that makes great marketing actually work. One more thing: she has a PhD in Machine Learning from Cambridge. Half the marketing industry is still figuring out what AI means for their function. Zeynep has been sitting with those questions for a long time. She's coming in to lead an already exceptional team. The Legora marketing org have shown the world what B2B AI marketing looks like when you genuinely believe in what you're building — the Jude Law campaign alone got global recognition most B2B companies would never dream of. Legora now has more than 100,000 users, 1,200+ customers across 50 countries, and a real shot at defining what agentic law means for the world. Zeynep joins at the moment when that story needs to be told at scale. Welcome, Zeynep! Read the full story by @meliarobin at @BusinessInsider: businessinsider.com/legora-hires-c…
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Jacob Effron
Jacob Effron@jacobeffron·
“LLMs are intrinsically unsafe.” @ylecun argues that models that can’t predict the consequences of their actions can’t be made reliable.
Jacob Effron@jacobeffron

It’s hard to imagine more of a dream Unsupervised Learning guest than @ylecun. Yann is one of the godfathers of AI, and he has some fascinating contrarian views on the limitations of LLMs. It was incredible to get to have a wide-ranging discussion with Yann about these views, reflections on his time at Meta and departure and what’s next for him. We hit on: ▪️ LLM limitations and a path forward for robotics ▪️ Why he left Meta ▪️ How he came to so dramatically disagree with his Turing co-laureates Geoff Hinton and Yoshua Bengio on LLMs ▪️ His predictions for 2027 ▪️ His new company AMI and the bet on world models ▪️ Why he compares OpenAI and Anthropic to Sun Microsystems ▪️ Why he tells PhD students to stop working on LLMs Plus some sharp views on the current safety discourse, how breakthrough research actually happens and what FAIR got right and wrong. YouTube: youtu.be/ngBraLDqzdI Spotify: bit.ly/4dL8fvT Apple: bit.ly/4wxgpiX

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Jacob Effron
Jacob Effron@jacobeffron·
The three Turing Award winners who built modern AI no longer agree. @ylecun on why: “I didn’t change my mind. They did.”
Jacob Effron@jacobeffron

It’s hard to imagine more of a dream Unsupervised Learning guest than @ylecun. Yann is one of the godfathers of AI, and he has some fascinating contrarian views on the limitations of LLMs. It was incredible to get to have a wide-ranging discussion with Yann about these views, reflections on his time at Meta and departure and what’s next for him. We hit on: ▪️ LLM limitations and a path forward for robotics ▪️ Why he left Meta ▪️ How he came to so dramatically disagree with his Turing co-laureates Geoff Hinton and Yoshua Bengio on LLMs ▪️ His predictions for 2027 ▪️ His new company AMI and the bet on world models ▪️ Why he compares OpenAI and Anthropic to Sun Microsystems ▪️ Why he tells PhD students to stop working on LLMs Plus some sharp views on the current safety discourse, how breakthrough research actually happens and what FAIR got right and wrong. YouTube: youtu.be/ngBraLDqzdI Spotify: bit.ly/4dL8fvT Apple: bit.ly/4wxgpiX

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Jacob Effron
Jacob Effron@jacobeffron·
"OpenAI, Anthropic — they're the Sun Microsystems and HP-UX of today." @ylecun on why he believes open source AI will wipe out closed models, the same way Linux wiped out the proprietary stack that ran the early internet.
Jacob Effron@jacobeffron

It’s hard to imagine more of a dream Unsupervised Learning guest than @ylecun. Yann is one of the godfathers of AI, and he has some fascinating contrarian views on the limitations of LLMs. It was incredible to get to have a wide-ranging discussion with Yann about these views, reflections on his time at Meta and departure and what’s next for him. We hit on: ▪️ LLM limitations and a path forward for robotics ▪️ Why he left Meta ▪️ How he came to so dramatically disagree with his Turing co-laureates Geoff Hinton and Yoshua Bengio on LLMs ▪️ His predictions for 2027 ▪️ His new company AMI and the bet on world models ▪️ Why he compares OpenAI and Anthropic to Sun Microsystems ▪️ Why he tells PhD students to stop working on LLMs Plus some sharp views on the current safety discourse, how breakthrough research actually happens and what FAIR got right and wrong. YouTube: youtu.be/ngBraLDqzdI Spotify: bit.ly/4dL8fvT Apple: bit.ly/4wxgpiX

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Jacob Effron
Jacob Effron@jacobeffron·
It’s hard to imagine more of a dream Unsupervised Learning guest than @ylecun. Yann is one of the godfathers of AI, and he has some fascinating contrarian views on the limitations of LLMs. It was incredible to get to have a wide-ranging discussion with Yann about these views, reflections on his time at Meta and departure and what’s next for him. We hit on: ▪️ LLM limitations and a path forward for robotics ▪️ Why he left Meta ▪️ How he came to so dramatically disagree with his Turing co-laureates Geoff Hinton and Yoshua Bengio on LLMs ▪️ His predictions for 2027 ▪️ His new company AMI and the bet on world models ▪️ Why he compares OpenAI and Anthropic to Sun Microsystems ▪️ Why he tells PhD students to stop working on LLMs Plus some sharp views on the current safety discourse, how breakthrough research actually happens and what FAIR got right and wrong. YouTube: youtu.be/ngBraLDqzdI Spotify: bit.ly/4dL8fvT Apple: bit.ly/4wxgpiX
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Jacob Effron
Jacob Effron@jacobeffron·
“Hire the best people, give them the means to succeed, and get the f*** out of the way.” @ylecun on what FAIR, Bell Labs, and Xerox PARC got right - and what's challenging to maintain at major labs today.
Jacob Effron@jacobeffron

It’s hard to imagine more of a dream Unsupervised Learning guest than @ylecun. Yann is one of the godfathers of AI, and he has some fascinating contrarian views on the limitations of LLMs. It was incredible to get to have a wide-ranging discussion with Yann about these views, reflections on his time at Meta and departure and what’s next for him. We hit on: ▪️ LLM limitations and a path forward for robotics ▪️ Why he left Meta ▪️ How he came to so dramatically disagree with his Turing co-laureates Geoff Hinton and Yoshua Bengio on LLMs ▪️ His predictions for 2027 ▪️ His new company AMI and the bet on world models ▪️ Why he compares OpenAI and Anthropic to Sun Microsystems ▪️ Why he tells PhD students to stop working on LLMs Plus some sharp views on the current safety discourse, how breakthrough research actually happens and what FAIR got right and wrong. YouTube: youtu.be/ngBraLDqzdI Spotify: bit.ly/4dL8fvT Apple: bit.ly/4wxgpiX

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swyx
swyx@swyx·
being vulnerable - by far one of the most important applied ai fields is in AI x Healthcare, but nobody on my team knows how to cover it! very fortunate to have @jacobeffron on the pod for this one - I took a healthcare economics class once many moons ago, but not only is he on the @AbridgeHQ board, he’s also an excellent podcaster (@ULpodcast) in his own right and people really enjoyed our annual crossover pod chat. I organically bring up a lot of @redpoint portcos in many of my conversations and his questions here were very on point if you are interested in how AI is improving healthcare outcomes and finances across the board!
Latent.Space@latentspacepod

Abridge: 100M+ medical conversations, real-time prior auth, and the clinical intelligence layer latent.space/p/abridge @AbridgeHQ is building the clinical intelligence layer for healthcare. In this episode, Janie Lee and @c_asawa explain why ambient documentation was only the first wedge, how Abridge is turning patient conversations into real-time clinical decision support, why healthcare may become one of AI’s most important proving grounds, and how 100M+ medical conversations, specialty-specific evals, and deep EHR integrations create a moat for AI-native healthcare.

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Jacob Effron
Jacob Effron@jacobeffron·
Was a ton of fun to record this with @swyx and the amazing @AbridgeHQ AI team. Check it out ⬇️
Latent.Space@latentspacepod

Abridge: 100M+ medical conversations, real-time prior auth, and the clinical intelligence layer latent.space/p/abridge @AbridgeHQ is building the clinical intelligence layer for healthcare. In this episode, Janie Lee and @c_asawa explain why ambient documentation was only the first wedge, how Abridge is turning patient conversations into real-time clinical decision support, why healthcare may become one of AI’s most important proving grounds, and how 100M+ medical conversations, specialty-specific evals, and deep EHR integrations create a moat for AI-native healthcare.

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Jacob Effron
Jacob Effron@jacobeffron·
Fun pod dropping tomorrow!
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Vikram Ramakrishnan
Vikram Ramakrishnan@vik_rama·
Today, we're announcing A* III, a $450 million early-stage fund. We started @A_StarVC with the simple idea to be a founder's first believer. We are generalists by sector, but specialists in the stage and craft of seed investing. We partner with founders before there is consensus, before there is traction, and often before there is even a product. We are not organized around a market thesis. We back exceptional builders and follow them into the most important categories. That matters because seed investing has changed. It is more crowded, more visible, and increasingly transactional. Too often, firms use seed to secure an option and then wait for proof before investing real time and attention. Seed has become a market of access. We believe it should be a market of conviction. We built A* around a different model. We commit early. We show up before external validation, deploying both time and capital from day zero to help founders find their first customer, make an early hire, or work through the decisions that define the company. We are selective at the start and concentrated over time. We partner with a small number of founders and deepen our commitment as their companies take shape. The best outcomes come from knowing where to go deep and having the discipline to do it. This approach has led us to companies like Ramp, Decagon, Whop, Cape, Simile, Paraform, Watney Robotics, and Mercor. We're grateful to the founders who have chosen to build with us and to the limited partners who have backed us. With this fund, A* manages over $1 billion in assets less than five years after launch. Our job remains what it was on day one: back exceptional founders early and be the partner they need when it matters most.
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Jacob Effron
Jacob Effron@jacobeffron·
Thrilled to partner with Sahir and the @forushq team as they help bring new science to patients. Provider adoption of their AI platform has 10x'd in each of the last two years and the surface area of what they can build from here is enormous. The talent density at Forus is insane and they’re hiring: forus.com/company
Forus@forushq

Today we’re introducing Forus and announcing $160M to build the foundation for modern medicine. Science should be the only limit to medicine. Today it isn’t. Drug discovery is moving faster, but the system that turns it into real-world treatment isn’t. forus.com/blog/forus-ann…

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Keşfet

@OriolVinyalsML @modal @bernhardsson @akshat_b @ylecun @zeynepinanoglu @WeAreLegora @meliarobin