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Geliştirici Haberleri
Briefings:
8H
24H
Hacker News
ByteByteGo
We’re releasing Jev 1.14.0 along with experimental features for dreamers
Hacker News
OpenCode 2.0
Hacker News
Anthropic's Scion is heavily inspired by Mononoke
Hacker News
Yandex outage: data shows that instead of going dark, malicious bots moved
Hacker News
Fancy Curl Sites
Hacker News
Things to know when you get cancer – 2026 Edition
Hacker News
Suicide rates highest ever among middle-aged men
Hacker News
How the Military Will Hack the Election
Hacker News
The Terminator Problem: How Teaching an LLM One Bad Habit Can Change Its Behavior
ByteByteGo
How the Math Used in 19th-Century Heat Physics Helps LLMs Understand Sentences
ByteByteGo
How to Build Models Without Language, with Logical Intelligence
ByteByteGo
How Software Boundaries Are The Most Important Skill for Developers
ByteByteGo
How Netflix Taught an LLM to Recommend Movies So That You Keep Watching
ByteByteGo
Why LLMs Agree With You Even When You’re Wrong
ByteByteGo
The LLM Blindspot: Why Models Forget What’s in the Middle of Your Prompt
ByteByteGo
Last 3 days: AI Evals, October cohort
ByteByteGo
Briefings:
8H
24H
Google AI Blog
OpenAI Blog
Anthropic Engineering
Towards Data Science
MIT Technology Review AI
Does better work always mean better workers?
Google AI Blog
Unlocking Earth AI’s planetary geospatial foundation models for global public health
Google AI Blog
Open and Emergent Problems in Agentic Privacy and Security: A Contextual Angle
Google AI Blog
Toward provably private learning from federated data
Google AI Blog
How Diffusion Controller unifies and simplifies AI image generation
Google AI Blog
Automating coherent long-form video generation
Google AI Blog
MilleMiglia: A realistic instance generator for middle-mile logistics
Google AI Blog
The future of practice: Enabling teachers to create learning interactives with generative UI
Google AI Blog
Bypassing inference bottlenecks: Accelerating complex AI search with Retrieve-for-Train
Google AI Blog
ToolGrad: Efficient tool-use dataset generation with textual "gradients"
Google AI Blog
Amp puts AI agents to work beyond code with OpenAI models
OpenAI Blog
SentinelOne cuts malware analysis from weeks to hours
OpenAI Blog
How Third Moment Research runs 10,000 agents for 36+ hours
OpenAI Blog
The EU’s next chapter in AI is agentic
OpenAI Blog
Higgsfield takes AI video from 1 minute to over 10
OpenAI Blog
Sophos cuts threat investigation time by 96% with OpenAI Daybreak
OpenAI Blog
Asana cuts model costs 76x in browser tests with GPT-6.1 Sol
OpenAI Blog
How Oracle turns days of work into minutes with ChatGPT and Codex
OpenAI Blog
Pollo AI turns creative ideas into campaigns with OpenAI
OpenAI Blog
LegalOn halves Codex costs while maintaining development speed
OpenAI Blog
Google DeepMind and Singapore Government collaborate to build fine-tuned AI model for scam detection
Google DeepMind Blog
Gemini 4 Argon: our next era of frontier intelligence
Google DeepMind Blog
Introducing SynthID Bio
Google DeepMind Blog
Introducing Gemini 3.8 Live with Live Avatar
Google DeepMind Blog
Advancing Private AI Compute with secure, server-side memory
Google DeepMind Blog
Gemini 3.8 text-to-speech says hello
Google DeepMind Blog
Introducing WeatherNext 3, our most advanced and accurate global weather AI model
Google DeepMind Blog
Proactive cyber defense for governments and enterprises
Google DeepMind Blog
Introducing Gemini 3.8 Flash and 3.8 Flash Cyber
Google DeepMind Blog
Introducing agentic video understanding with Gemini
Google DeepMind Blog
Does Stacking Beat Your Best Model?
Towards Data Science
How Do Word Embeddings Capture Relationships Between Words?
Towards Data Science
Voting on Features: Federated Feature Selection Without Sharing Data
Towards Data Science
A Scaffold at the Gate: Building AI Applications That Can Evolve
Towards Data Science
Your Agent Doesn't Need More Freedom
Towards Data Science
Three Samplers, One Posterior: NUTS vs. Emcee vs. Nested Sampling
Towards Data Science
Coding Agents Can Solve the Task — But How Much Work Did They Waste?
Towards Data Science
How to Leverage NLP for Product Data Science
Towards Data Science
We Specified an AI Agent in 2016. We Called It Analytics.
Towards Data Science
I Built a Trap for AI Image Judges. They Walked Into a Different One.
Towards Data Science
Open models have real benefits. Do they outweigh the risks?
MIT Technology Review AI
AI labs are buying data from dead startups to train their models
MIT Technology Review AI
We’re putting too much faith in AI’s ability to say no
MIT Technology Review AI
Roundtables: A Conversation With the Creator of AI-Designed Viruses
MIT Technology Review AI
AI breakthroughs in robotics won’t change your life any time soon
MIT Technology Review AI
Building a safer path to autonomous industrial AI
MIT Technology Review AI
Connecting AI agents to enterprise knowledge
MIT Technology Review AI
Bringing predictive analytics to the agentic AI era
MIT Technology Review AI
People really hate AI, so why can’t they get enough?
MIT Technology Review AI
Redefining enterprise intelligence with autonomous AI
MIT Technology Review AI
