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ARROYO

Arroyo is a distributed stream processing engine designed to efficiently perform stateful computations on streams of data. It can operate on both bounded and unbounded sources and emit results as soon as they are available. Arroyo lets users ask complex questions of high-volume real-time data with subsecond results. It can be used for real-time product and business analytics, to detect fraud and security incidents, for real-time ML feature generation, and more.

2023.04.13
github.comGitHub repositoryTLDR

MASS LAYOFFS AND ABSENTEE BOSSES CREATE A MORALE CRISIS AT META

Meta's 'year of efficiency' has so far translated into mass layoffs. There have been two rounds of cuts over the past six months, with two more to come that will eliminate over 21,000 positions. Some of Meta's top executives have moved away and are managing large parts of the company from London and Tel Aviv. There is increased scrutiny in workplace reviews and workers are being asked to justify why their jobs are crucial to Meta's goals. Workers are creating memes about how much time they have left in the company.

2023.04.13
archive.ph9 min readTLDR

2023.04.13
archive.ph9 min readTLDR

44 OF THE MOST PROMISING GENERATIVE AI STARTUPS OF 2023, ACCORDING TO VCS

Generative AI exploded onto the scene in 2022, bringing with it buzzy startups and funding rounds. Insider asked investors to name the most promising generative-AI startups of 2023. Notable companies include foundational models like Open AI and Stability AI, next layer tooling like LangChain and Fixie, and early stage startups like Cursor and DeepScribe.

2023.04.12
archive.ph25 min readTLDR AI

OPENAI PLANS JAPAN EXPANSION

Sam Altman, co-founder and chief executive officer of OpenAI, said the organization is looking at opening a Japan office and expanding Japanese language services after meeting with Prime Minister Fumio Kishida.

2023.04.12
archive.ph1 min readTLDR AI

REVISITING THE CLASSIC: SCALING RNNS OVER SEQUENCE LENGTH

Context length is a hot topic in AI. We're trying to scale text models to longer and longer sequences. This work scales an RNN to a million context tokens. It's not directly applicable, but there are some lovely nuggets here.

2023.04.12
arxiv.org27 min readTLDR AI

GENERATIVE AGENTS: INTERACTIVE SIMULACRA OF HUMAN BEHAVIOR

Believable proxies of human behavior can empower interactive applications ranging from immersive environments to rehearsal spaces for interpersonal communication to prototyping tools. In this paper, the authors introduce generative agents--computational software agents that simulate believable human behavior. In an evaluation, these generative agents produce believable individual and emergent social behaviors: for example, starting with only a single user-specified notion that one agent wants to throw a Valentine's Day party, the agents autonomously spread invitations to the party over the next two days, make new acquaintances, ask each other out on dates to the party, and coordinate to show up for the party together at the right time.

2023.04.12
arxiv.org25 min readTLDR AI

PANOPTIC SEGMENTATION

Researchers from Google propose Video-kMaX, a unified approach for online and near-online Video Panoptic Segmentation, comprising a within-clip segmenter and a cross-clip associater. By leveraging clip-kMaX and HiLA-MB for these components, this method establishes a new state-of-the-art on KITTI-STEP, VIPSeg, and VSPW datasets, bridging the gap between online and near-online segmentation approaches.

2023.04.12
arxiv.org7 min readTLDR AI

LIBRARY FOR AI ON TPUS

A challenge in training large text models is fitting them on your hardware accelerators. This is often easier on TPUs than GPUs due to Pjit capabilities of Jax. This library (which was used for the imminently popular FlanT5 models) is easy to use and seems to scale quite well.

2023.04.12
github.comGitHub repositoryTLDR AI

TURBO PILOT CODING ASSISTANT

A faux pilot based local coding assistant for vs code that runs local with 4GB ram. It uses the Salesforce 6B codegen model.

2023.04.12
github.comGitHub repositoryTLDR AI

Sponsored

CHOOSING THE RIGHT LLM FOR YOUR USE CASE AND BUDGET — IT’S NOT JUST ABOUT SIZE

It seems like a new LLM API launches every other day. But how do you know which is the best fit for your use case? Is bigger always better? What are the benefits of specialized models? How does model size affect latency? This blog post by Inworld [https://bit.ly/3nXnURp] identifies 8 key factors for comparing large language models. Read the article [https://bit.ly/3nXnURp]

2023.04.12
bit.lySponsorTLDR AI