Artur Klajnerok

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Artur Klajnerok

Artur Klajnerok

@artur_dev

Engineering @auth0 & @okta, billions of Auths. Lead Engineer, Hacker & Founder. Prev: @getfandom to 200 million Users. #SaaS, #DX, #DevFirst, #Remote #SV

San Francisco, CA Katılım Ağustos 2012
850 Takip Edilen983 Takipçiler
Artur Klajnerok
Artur Klajnerok@artur_dev·
@rowancheung Hi @rowancheung 👋 This week also @auth0 dropped Auth for GenAI. That brings security into AI apps and agents. x.com/dschenkelman/s…
yenkel@yenkel

📢 New @auth0 product: Auth for GenAI 🤖 our new product for devs building apps with GenAI It helps devs secure their GenAI apps, with the dev experience @auth0 is known for You can start using Auth for GenAI today: auth0 dot ai What's in the box? This developer preview supports 4 use cases: 1️⃣ User Authentication 2️⃣ Calling APIs on the users' behalf 3️⃣ Async User Confirmation 4️⃣ Authorization for RAG 1️⃣ User Authentication GenAI agents or apps still need to know who the user is.  e.g. a chatbot might need to display chat history, or know the user age/country to customize replies  This requires authentication, and Auth for GenAI makes it easy to implement in GenAI apps 2️⃣ Calling APIs on the users' behalf GenAI apps interact with other apps, e.g. to read emails or send a pull-request And they don't need a UI  Agents need to call APIs with credentials that are for a single user, with narrow permissions 3️⃣ Async User Confirmation Many GenAI workflows are async, take "longer" to reply @OpenAI's o family of models is a good example of it.  Users won't wait in front of a chat window. GenAI agents need to support async confirmation securely 4️⃣ Authorization for RAG GenAI apps use RAG to make relevant data available to LLMs for replies  To avoid disclosing sensitive information, it is paramount to ensure that the content used to generate answers is content each user can access How do we make all of this easy? We have SDKs, docs and sample apps for many of the popular GenAI app frameworks: @aisdk @langchain @llama_index @Firebase Genkit and others like @CloudflareDev AI and @crewAIInc are coming soon And we really want your feedback (my DMs are open, we have a Discord community). If you have issues, want other features, frameworks, or want to collaborate on making Auth for GenAI easy to integrate into your platform, I'd love to chat I am very excited about how this product will enable all of us devs to make prod ready AI apps a reality. Looking forward to learning how you are using it!

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Rowan Cheung
Rowan Cheung@rowancheung·
TODAY'S AI NEWS: Amazon just dropped a new voice model that beats OpenAI Plus, more news from Google, Nvidia, Deep Cogito, Stanford, and more. Here's everything you need to know:
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Martin Picard
Martin Picard@MitoPsychoBio·
Switching brain state costs energy "Stable" brain states exist in local energy minima, so there is an energy barrier to overcome to switch from one state to another Nice summary of relevant papers and work by @DaniSBassett here: helper.ipam.ucla.edu/publications/m…
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Joel C. Sercel, PhD@JoelSercel

Also, is the ability to handle stress and the switching between Type 1 and Type 2 thinking (Thinking Fast and Slow) modulated by energy metabolism? I would suspect it is as we know that Type 2 thinking is harder when dealing with stress or fatigue, which causes us to default to Type 1.

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yenkel
yenkel@yenkel·
📢 New @auth0 product: Auth for GenAI 🤖 our new product for devs building apps with GenAI It helps devs secure their GenAI apps, with the dev experience @auth0 is known for You can start using Auth for GenAI today: auth0 dot ai What's in the box? This developer preview supports 4 use cases: 1️⃣ User Authentication 2️⃣ Calling APIs on the users' behalf 3️⃣ Async User Confirmation 4️⃣ Authorization for RAG 1️⃣ User Authentication GenAI agents or apps still need to know who the user is.  e.g. a chatbot might need to display chat history, or know the user age/country to customize replies  This requires authentication, and Auth for GenAI makes it easy to implement in GenAI apps 2️⃣ Calling APIs on the users' behalf GenAI apps interact with other apps, e.g. to read emails or send a pull-request And they don't need a UI  Agents need to call APIs with credentials that are for a single user, with narrow permissions 3️⃣ Async User Confirmation Many GenAI workflows are async, take "longer" to reply @OpenAI's o family of models is a good example of it.  Users won't wait in front of a chat window. GenAI agents need to support async confirmation securely 4️⃣ Authorization for RAG GenAI apps use RAG to make relevant data available to LLMs for replies  To avoid disclosing sensitive information, it is paramount to ensure that the content used to generate answers is content each user can access How do we make all of this easy? We have SDKs, docs and sample apps for many of the popular GenAI app frameworks: @aisdk @langchain @llama_index @Firebase Genkit and others like @CloudflareDev AI and @crewAIInc are coming soon And we really want your feedback (my DMs are open, we have a Discord community). If you have issues, want other features, frameworks, or want to collaborate on making Auth for GenAI easy to integrate into your platform, I'd love to chat I am very excited about how this product will enable all of us devs to make prod ready AI apps a reality. Looking forward to learning how you are using it!
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Nicholas Fabiano, MD
Nicholas Fabiano, MD@NTFabiano·
The more intense the exercise, the more potent the antidepressant effect.
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OpenAI Developers
OpenAI Developers@OpenAIDevs·
Introducing the Evals API. You can now programmatically define tests, automate evaluation runs, and quickly iterate on prompts. Evals are still available in the dashboard—and now through the API, so you can integrate them anywhere in your workflow.
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Artur Klajnerok
Artur Klajnerok@artur_dev·
While you ghiblify whole day, @auth0 is keeping you safe from hacks & attacks 24/7
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Andrej Karpathy
Andrej Karpathy@karpathy·
The reality of building web apps in 2025 is that it's a bit like assembling IKEA furniture. There's no "full-stack" product with batteries included, you have to piece together and configure many individual services: - frontend / backend (e.g. React, Next.js, APIs) - hosting (cdn, https, domains, autoscaling) - database - authentication (custom, social logins) - blob storage (file uploads, urls, cdn-backed) - email - payments - background jobs - analytics - monitoring - dev tools (CI/CD, staging) - secrets - ... I'm relatively new to modern web dev and find the above a bit overwhelming, e.g. I'm embarrassed to share it took me ~3 hours the other day to create and configure a supabase with a vercel app and resolve a few errors. The second you stray just slightly from the "getting started" tutorial in the docs you're suddenly in the wilderness. It's not even code, it's... configurations, plumbing, orchestration, workflows, best practices. A lot of glory will go to whoever figures out how to make it accessible and "just work" out of the box, for both humans and, increasingly and especially, AIs.
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Artur Klajnerok
Artur Klajnerok@artur_dev·
I tried to get my family interested in anime my whole life, and this is the day when they really appreciate it ❤️
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Garry Tan
Garry Tan@garrytan·
Y Combinator has helped create more than $800 billion in market value over 20 years. Thank you to Paul, Jessica, Trevor and Robert and Happy Birthday to the fixed point combinator that changed the world.
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Paul Graham@paulg

Y Combinator's 20th birthday is tomorrow. Here's what was happening on March 11, 2005: paulgraham.com/ycstart.html (Yeah, I know this tweet will get hidden because it has a link in it, and that I'm supposed to put the link in a reply. But that's so stupid that I refuse to do it.)

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Balaji
Balaji@balajis·
A deindustrialized America simply does not produce enough to pay for what it consumes. It prints money instead. And exchanges these pieces of paper for valuable goods. But if the world stops using that money, the US has a real problem. So, alienating allies is not a good idea.
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Anders Åslund@anders_aslund

@thundercarver This is as dumb as it gets. The rest of the world holds $27 trillion in US securities, that is, the rest of the world finances the US, which overspends & undersaves. Good luck when Trump drives foreign financial investments away! Start thinking!

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Balaji
Balaji@balajis·
What happens if high quality AI models become free, ubiquitous, and inexpensive to run on even low-spec hardware? (1) First, you can rebuild every productivity app AI-first. That starts with Microsoft Word, Google Sheets, and Apple Keynote. But it extends to wholly new kinds of productivity apps. (2) Second, every “smart” device becomes truly smart. Your fridge can double as your nutritionist. Your alarm clock is your sleep therapist. And so on. Just like your car is already your driver. (3) Third, moats move to the app layer. As others have remarked, the GPT wrappers may end up more defensible than the GPT model itself. (4) Fourth, physicality becomes relatively more valuable. The hardware, the secure real estate, the in-person community — these are all things digital AI can’t deliver. (5) Fifth, high human IQ actually becomes increasingly valuable. Because AI is really amplified intelligence rather than truly agentic intelligence, since it requires the creative prompt to get started. (6) Sixth, prompt engineering is here to stay, because prompting is programming — just in a higher-level language. (7) Seventh, the most common form of AI doomerism is proven false, because we are getting decentralized ubiquitous AI rather than centralized monotheistic AI. More like a garden of smart things than a vengeful Old Testament God that’ll turn you into paperclips. (8) Eighth, the combination of cuts to US “industrialized” academic research at the same time AI models accelerate discovery will mean a return to individual gentleman scientists and the advance of desci (decentralized science). (9) Ninth, the complement to probabilistic AI is deterministic crypto. For captchas, for identity, for money, for all these things — crypto is the digital scarcity that AI can’t fake. (10) Tenth, the main cost of software development may reduce to reducing the costs of the physical environment. That is: to providing society-as-a-service, to simply giving engineers time to type and experiment in peace. This was already so, but may become even more so. Several of these points have been made by others, but I think that collectively they help define the second mover era.
Suhail@Suhail

AI will move into a window (later this year) that I would call "second mover's advantage." That is, the first obvious moves that could be big are played out given the technology/funding cycle. The rest of us get to watch how it worked out, take stock of the pace, understand how users use it, and better consider where it will be vs where it was--without baggage. Much of mobile and web had second movers that became dominant.

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Artur Klajnerok
Artur Klajnerok@artur_dev·
@garrytan You definitely need to put in more hours and increase the output, if you are in the SF Bay Area and want to get ahead.
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Garry Tan
Garry Tan@garrytan·
YC startups that base themselves in the SF Bay Area after the program become unicorns at a rate of 2.5x those that move elsewhere The causation effect is definitely not zero. Your ambition, knowhow and access to people is a function of your environment.
Adam Cohen@adambcohen93

San Francisco is home to the most productive engineers in the world. SF engineers do 13.9 months of work in a year. Here are the fastest building cities, according to our data at Weave. Maybe @ycombinator has a point about building in SF 🤔

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Auth0
Auth0@auth0·
New Auth0 Extension for @Netlify: Available NOW! Want to add authentication to your Netlify project seamlessly? We've got you covered. Let’s break it down. 🧵👇
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Artur Klajnerok
Artur Klajnerok@artur_dev·
@FitFounder All those folks living in the EU don't even know they are health hackers by default🚶
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Dan Go
Dan Go@CoachDanGo·
An underrated health hack is living in a walkable neighborhood. Walking to get coffee, go to the gym, and go work are highly underrated.
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