Category: Ai updates
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RL without TD learning
In this post, I’ll introduce a reinforcement learning (RL) algorithm based on an “alternative” paradigm: divide and conquer. Unlike traditional methods, this algorithm is not based on temporal difference (TD) learning (which has scalability challenges), and scales well to long-horizon tasks. We can do Reinforcement Learning (RL) based on divide and conquer, instead of temporal…
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What exactly does word2vec learn?
What exactly does word2vec learn, and how? Answering this question amounts to understanding representation learning in a minimal yet interesting language modeling task. Despite the fact that word2vec is a well-known precursor to modern language models, for many years, researchers lacked a quantitative and predictive theory describing its learning process. In our new paper, we…
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Whole-Body Conditioned Egocentric Video Prediction
× Predicting Ego-centric Video from human Actions (PEVA). Given past video frames and an action specifying a desired change in 3D pose, PEVA predicts the next video frame. Our results show that, given the first frame and a sequence of actions, our model can generate videos of atomic actions (a), simulate counterfactuals (b), and support…
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Defending against Prompt Injection with Structured Queries (StruQ) and Preference Optimization (SecAlign)
Recent advances in Large Language Models (LLMs) enable exciting LLM-integrated applications. However, as LLMs have improved, so have the attacks against them. Prompt injection attack is listed as the #1 threat by OWASP to LLM-integrated applications, where an LLM input contains a trusted prompt (instruction) and an untrusted data. The data may contain injected instructions…
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Repurposing Protein Folding Models for Generation with Latent Diffusion
PLAID is a multimodal generative model that simultaneously generates protein 1D sequence and 3D structure, by learning the latent space of protein folding models. The awarding of the 2024 Nobel Prize to AlphaFold2 marks an important moment of recognition for the of AI role in biology. What comes next after protein folding? In PLAID, we…
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Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment
Training Diffusion Models with Reinforcement Learning We deployed 100 reinforcement learning (RL)-controlled cars into rush-hour highway traffic to smooth congestion and reduce fuel consumption for everyone. Our goal is to tackle “stop-and-go” waves, those frustrating slowdowns and speedups that usually have no clear cause but lead to congestion and significant energy waste. To train efficient…
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Cloudflare Cuts 20% of Workforce Citing AI Productivity Gains as Quarterly Revenue Hits Record $639M
Cloudflare has announced its first-ever mass layoff, cutting approximately 1,100 employees — 20% of its workforce — as it reported record quarterly revenue of $639.8 million, a 34% year-over-year increase. Co-founder and CEO Matthew Prince and co-founder and president Michelle Zatlyn framed the cuts not as cost reduction but as a structural response to AI-driven productivity gains. Prince said…
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Oracle’s AI-Driven Mass Layoff of 30,000 Draws Backlash Over Severance Terms and Forfeited Stock
Oracle’s abrupt termination of an estimated 20,000 to 30,000 employees via email on March 31 has sparked significant employee pushback over what many regarded as inadequate severance. The company offered four weeks of base pay plus one additional week per year of service, capped at 26 weeks, but crucially did not accelerate unvested stock grants — meaning…
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Modicus Prime Announces $8M in Funding to Enable AI Audit Readiness Across Pharma
Insider Brief Modicus Prime has raised an additional $4.5 million led by Frist Cressey Ventures, bringing total funding to $8 million, to expand its Trustworthy AI Compliance Software that helps pharmaceutical companies deploy audit-ready AI across regulated GxP environments globally. The platform integrates with existing pharmaceutical tech stacks and quality management systems, serving as a…
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AI Library Raises Pre-Seed Funding to Automate Enterprise Software Delivery With AI Agents
AI Library, an outcome-based software delivery startup founded in 2023 by Arani Chaudhuri, has raised $560,000 in pre-seed funding at a $7.5 million valuation cap to accelerate its AI agent-driven approach to enterprise software deployment. The company’s platform automates the software delivery lifecycle using AI agents with human oversight, targeting enterprise functions including finance, operations,…
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