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WILL GENERATIVE AI KILL SEO?

A seasoned SEO specialist and gives a firsthand account of how generative AI is disrupting the digital content landscape. She dives into the challenges and opportunities presented by AI content, its real-world impact on SEO performance, and the seismic shifts expected from Google's recent AI integration into search results.

2023.05.17
archive.is5 min readTLDR Founders

MY 20 YEAR CAREER IS TECHNICAL DEBT OR DEPRECATED

With enough time, most code becomes technical debt or deprecated. The author, over his 20 year career, reflects on how many of the lines of code, projects, and languages he’s worked on have either been deprecated or rewritten. This is not necessarily a bad thing but the reality of being a software engineer.

2023.05.17
blog.visionarycto.com4 min readTLDR Web Dev

CHATHUB

ChatHub is an all-in-one chatbot client that allows you to use different chatbots in one app. It supports ChatGPT, Bing Chat, Google Bard, and Claude. It is full-featured with a shortcut to quickly activate the app from anywhere in the browser, a prompt library for custom and community prompts, dark mode, import/export options, conversation sharing, and more.

2023.05.17
github.comGitHub repositoryTLDR Web Dev

KNIP

Knip finds unused files, dependencies and exports in your JavaScript and TypeScript projects. Less code and dependencies lead to improved performance, less maintenance and easier refactorings. Knip has good defaults and you can run it without any configuration.

2023.05.17
github.comGitHub repositoryTLDR Web Dev

BUN V0.6

Bun is a fast all-in-one JavaScript runtime, built for speed, with a native bundler, transpiler, test runner, and npm-compatible package manager baked-in. Bun v0.6 is the biggest release of Bun yet. It has a new JavaScript/TypeScript bundler and minifier, a new ability to create standalone executables, and more.

2023.05.17
bun.sh3 min readTLDR Web Dev

WHY AI CAN’T DO HIRING

AI is really well-suited to automating a bunch of recruiting tasks that humans do now. For instance, AI can take the pain out of tasks like interview scheduling, composing first-draft sourcing emails, tracking candidate progress through a funnel, and more. However, AI is not effective for hiring because companies don’t have the data for engineers that reliably predict whether someone is a good engineer along with other factors. This also means that humans will continue to be bad at hiring because humans also don’t have that data. As a result, AI will help automate the mundane parts of hiring, but cannot really replace the “human” part of hiring.

2023.05.17
interviewing.io21 min readTLDR Web Dev

9 THINGS I LOVE ABOUT AWS

Developers have their fair share of qualms when it comes to AWS. This article covers one engineer's list of things the tool does well, such AWS’s “customer obsession” mindset.

2023.05.17
lastweekinaws.com4 min readTLDR Web Dev

THIS BLOG IS HOSTED ON MY ANDROID PHONE

How to use Termux to turn your $180 Android phone into a web server and use Pinggy to obtain a public URL to access the server. Spoiler: it only takes 3 steps!

2023.05.17
androidblog.a.pinggy.io3 min readTLDR Web Dev

BENCHMARKING LLM’S PERFORMANCE

There are multiple LLM battles going on, including Microsoft vs Google and open-source vs closed-source. The article shows how benchmark tests for LLMs work and why AI startup investment in Q1 unexpectedly dropped 66% from last year and declined 43% QoQ.

2023.05.17
vccafe.com5 min readTLDR Web Dev

TOGETHER COMPUTE $20M SEED ROUND

Together compute is, among other things, building a cloud platform for efficient machine learning. With strong academic connections, and highly talented technologists, they have a good shot of building really useful tools for the ecosystem. One of their notable works to date is the release of the red pajama data set, which is an open replication of the closed data set used to train Llama.

2023.05.16
together.xyz2 min readTLDR AI

MEGABYTE - MILLION BYTE SEQUENCES

Transformers are not actually end to end. There is a separate training process for the tokenizer which is strange and often leads to odd performance in general. However, if we try to naively train on bytes we quickly run out of context length given the increased length of sequences. Additionally for truly multimodal problems training directly on bytes removes complex patching and tokenization schemes. This work allows models to train directly on bytes with sequence lengths up to a million bytes. Maybe this will even help nucleus sampling for rare words too!

2023.05.16
arxiv.org28 min readTLDR AI

VIDEO QUESTION ANSWERING

Visual question answering has seen massive adoption over the past several months, and rapid progress. Largely enabled by pre-trained models such as Blip and clip. Applying these models to video is challenging due to the dramatically increased computational requirements. This work introduces a cascade of different models that dramatically improves the robustness of these systems by operating at different timescales. They use Blip2 and find strong performance.

2023.05.16
arxiv.org45 min readTLDR AI

MICROSOFT GUIDANCE

Programs are how we talk to computers, prompts are how we talk to AI, and AI is now talking to computers. This means that we need a better way to talk with AI. Guidance is essentially a prompting language and toolkit developed by Microsoft that allows you to set guidelines and instructions in a way that encourages reproducible and robust prompts.

2023.05.16
github.comGitHub repositoryTLDR AI

ENHANCING 3D SCENE RECONSTRUCTION AND REALISM FROM LASER DATA

NFL is a new method that takes LiDAR data (a way of measuring distances using lasers) and creates realistic 3D scenes from new viewpoints. This technique works better than others and can help improve tasks like mapping and understanding the environment around us.

2023.05.16
research.nvidia.com5 min readTLDR AI

UNCENSORED MODELS

Eric Hartford's blog post explores the implications of uncensored AI models, suggesting that AI censorship might be leading us down a risky path. He argues for the development of systems to better manage the outputs rather than suppressing them. He mentions that more research and dialogue are needed around the ethics of AI use, and proposes the idea of a multi-stakeholder governance model for AI systems.

2023.05.16
erichartford.com10 min readTLDR AI

AMAZON PLANS TO ADD CHATGPT SEARCH

Amazon.com Inc. plans to bring ChatGPT-style product search to its web store, rivaling efforts by Microsoft Corp. and Google to weave generative artificial intelligence into their search engines.

2023.05.16
archive.ph2 min readTLDR AI

GPT4TOOLS

GPT4Tools is a centralized system that can control multiple visual foundation models.

2023.05.16
github.comGitHub repositoryTLDR AI

FIRST-PRINCIPLES ON AI SCALING

Scaling laws indicate that Large Language Models (LLMs) will get substantially better at predicting words with the addition of more data and computational power. However, while it might be feasible to increase dataset size, there are potential barriers to making them more than 10 times larger than their current state, such as cost. Scaling LLMs to maximum potential would cost substantially more than the GDP of the planet with current technology. There is likely a computational limitation. Current scaling laws could be inaccurate due to the small amount of data and computation used to fit the model.

2023.05.15
dynomight.net31 min readTLDR

2023.05.15
theverge.com33 min readTLDR