Top Tweets for #apache2
#KRAFTON just open-sourced Raon-1 nano: a 1.5B-effective #LLM distilled from a 30B #MoE, Korean + English, tool use, #Apache2. Small, on-device models are where #AI gets cheap enough to ship everywhere. #SouthKorea #OpenSource
We’re releasing Raon-1 nano, an effective 1.5B dense LLM with per-layer embeddings and 3.1B total parameters. ⚡
Our journey from PUBG Ally toward on-device LLMs continues.
We pruned and distilled Raon-1 mini preview (30B-A4B) using our MoE-to-Dense approach, then further trained it on 3T tokens, followed by SFT, OPD, and RL.
Designed for natural conversations, maintaining conversational context, instruction following, and tool use in both Korean and English.
Small model. Smart interactions. Enjoy! 😊
🤗 Weights (Apache 2.0 license): https://t.co/ZVMZmlSNlz
📄 MoE-to-Dense (NeurIPS 2026 Oral): https://t.co/eoYH86lBs0
🪖 Learn more about PUBG Ally: https://t.co/A3iZvP2X7c
If you build agents for environments where “it seems to work” isn’t good enough (legal, compliance, public sector, regulated SMEs), I’d love for you to try to break it.
🔗 https://t.co/nwoyHc90r6
🌐 https://t.co/1sC9xsbocI
#OpenSource #AIAgents #Apache2 #SelfHosted #AIGovernance
Nanbeige released Nanbeige4.3-33B under an Apache 2.0 license in October 2026.
https://t.co/5LGtydqtzU
#nanbeige #apache2 #openweights #codingmodel #llm #ai #technology
What is a virtual host? Why would I want one? It's a way of saving costs. How? Read on matey. #java #apache2 #ubuntu #apache-vhost #springboot https://t.co/sRdnDZNyyV https://t.co/PfDirU7alK
🚀WSO2 Agent Manager is now GA! Proud to have contributed to building the control plane that brings identity, governance, and scale to enterprise AI agents #OpenSource #wso2 #ai #AIAgents #AgentGovernance #EnterpriseAI #OpenSource #Kubernetes #CloudNative #GA #AIatScale #Apache2
AI agents are getting deployed faster than they're getting governed.
WSO2 Agent Manager is now GA: an open control plane giving every agent its own identity, guardrails enforced once instead of team by team, and real accountability instead of invisible sprawl.
100% Apache 2.0. Framework-agnostic. See it in 60 seconds:
See the press release here:
https://t.co/goEHyhJndT
ハッピーコンピューティングは個別指導なので、エラーや文字化けを自分のペースで経験し、なぜそうなるのかを納得しながら学習することができます。
#ubuntu #linux #プログラミング #プログラミング教育 #プログラミング教室 #telnet #apache2
中学生とこんなことをしています。
中古マシンにubuntu入れてtelnetサーバー立てて。
別マシンのwindowsのtelnetクライアントから接続。
apache2立ち上げてWindowsのgoogle chromeからアクセス。
何日かかかりましたが途中でエラーや文字化けもしっかり経験できるし理屈も分かります。個別指導なので。
🧱 #AWS Blocks is a new #opensource framework from AWS (#Apache2 license) built specifically for the era of #Ai #coding agents.
It's based on #TypeScript and made of modular "Blocks" for databases, authentication, file uploads, jobs, emails, AI agents & more #cloud #devtools
⚡ Developers can start locally — no AWS account needed — and automatically get Postgres, authentication, storage & messaging provisioned out of the box
🔄 On deployment, the same APIs map automatically to real AWS services like #Lambda, #DynamoDB, #Aurora, #APIGateway & #Bedrock — with zero code changes
🤖 The standout feature: the framework ships with built-in rules and steering files for #AIagents, so they automatically apply clean architecture and best practices
🔗 End-to-end typing works without code generation and supports frontends like Next.js, Nuxt, Astro, Angular, React, Vue & Svelte — plus mobile apps in Swift, Kotlin & Flutter
🛠️ Under the hood it still uses the #AWS #CDK, so you can drop back to standard AWS infrastructure at any time
💡 Why it matters: for the first time AWS is building a framework optimized not primarily for humans, but also for coding agents like Claude Code, Codex & Cursor. The core idea — AI shouldn't have to learn how AWS works; the framework forces it onto the right path automatically
⚠️ Current drawbacks: still public preview, APIs may change, Node.js 22+ required & local mock implementations may behave differently from real AWS resources
📊 The real positioning: Blocks competes less as "yet another framework" and more as an alternative to #AWSAmplify, #Supabase & #Convex
🚀 The bigger trend isn't another framework — it's AWS shipping its first framework explicitly optimized for agentic coding. That's likely to influence many frameworks in the years ahead
https://t.co/sizzqQi1VI
@IntCyberDigest skill issue don't use default #nginx or #apache2 both trash use golang based webservers only 🙌👌
Share a powerful lightning talk that I spoke at #ApacheConAsia2025. The talk dives into 'Why We Chose Openness: The Story Behind #JuiceFS Switching to Apache 2.0.'
https://t.co/oFKXKVs297
#OpenSource #CloudNative #Apache2
🎉 We need more truly free models!
Happy to see #Olmo3 arrive at sizes suitable for consumer grade #GPU. The weights, data, process, logs are under #Apache2, and they run on recent llama.cpp (@ggml_org)
Running #Quantization to #GGUF now…
#AI #FullyOpenAI #RunLocal #Tech
*Major* open source AI drop today. Can America win the Open AI race? My conversation with @natolambert and @soldni of @allen_ai about the launch of Olmo 3
00:00 – Cold Open
00:39 – Welcome & today’s big announcement
01:18 – Introducing the Olmo 3 model family
02:07 – What “base models” really are (and why they matter)
05:51 – Dolma 3: the data behind Olmo 3
08:06 – Performance vs Qwen, Gemma, DeepSeek
10:28 – What true open source means (and why it’s rare)
12:51 – Intermediate checkpoints, transparency, and why AI2 publishes everything
16:37 – Why Qwen is everywhere (including U.S. startups)
18:31 – Why Chinese labs go open source (and why U.S. labs don’t)
20:28 – Inside ATOM: the U.S. response to China’s model surge
22:13 – The rise of “thinking models” and inference-time scaling
35:58 – The full Olmo pipeline, explained simply
46:52 – Pre-training: data, scale, and avoiding catastrophic spikes
50:27 – Mid-training (tail patching) and avoiding test leakage
52:06 – Why long-context training matters
55:28 – SFT: building the foundation for reasoning
1:04:53 – Preference tuning & why DPO still works
1:10:51 – The hard part: RLVR, long reasoning chains, and infrastructure pain
1:13:59 – Why RL is so technically brutal
1:18:17 – Complexity tax vs AGI hype
1:21:58 – How everyone can contribute to the future of AI
1:27:26 – Closing thoughts
Zaguán AI SDK? Yes!
I've created SDKs for the 3 top programming languages - Python, TypeScript and Go for @Zaguan_AI.
Check out the docs https://t.co/ctah3Mr9e1
#ZaguanAI #AI #OneAPI #SDK #documentation #Apache2 #OpenSource #asl2
Hands on for a new project #PATRACK!
✅ Apache Server Setup
✅ PHP Setup
✅ Postgresql Setup
#Apache #Apache2 #PhP #Postgresql #Database #ParcelTracking #ufw
OpenAI has released gpt-oss-120b and gpt-oss-20b, its first open-weight models since GPT-2. The release, under an Apache 2.0 license, aims to democratize access to AI.
#OpenAI #OpenWeight #LLM #AITech #Apache2
https://t.co/DZ4dKvJI6M
Have a keynote on #CommunityOverCode Asia 2025, and a lighting talk sharing why we switch from #AGPLv3 to #Apache2 license
Cybersecurity virtual lab in VMware Fusion on M1 Mac - Part 5: Setting up Apache HTTP Server on Ubuntu
This walk through covers setting up Apache HTTP Server on Ubuntu 24.04.2 LTS #CybersecurityLab #Apache2 #Apache #HTTPServer
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