Algorithmic

Tweets about GenAI, LLMs, AI and exciting stuff in Tech in general.

[Algorithmic @algortroy]

@jarredsumner Plz fix http2 error rates!

[DAIR.AI @dair_ai]

https://t.co/Y4CufC0XQ9

[Algorithmic @algortroy]

@karpathy @irinarish I just use https://t.co/gBVrSdli6F which does exactly this. Your own personal knowledge base.

[Sarah Chieng @MilksandMatcha]

https://t.co/vc1EnFPvu1

[Algorithmic @algortroy]

@charlieholtz Add support to add local projects plz!

[Algorithmic @algortroy]

@jordanttay1 @PrajwalTomar_ I build Adist for the exact reason. It works with cursor as well as Claude code really well. Check it out: https://t.co/JNf5j1gWlU

[Algorithmic @algortroy]

@ionleu https://t.co/pYIsxudOBo

[Visual Studio Code @code]

Agent mode (preview) is here for @github Copilot in @code!

In agent mode in Copilot Edits, Copilot will iterate on its own output, execute terminal commands, react to terminal output, check itself for mistakes and even self-heal from runtime errors.

Try it today in VS Code Insiders: https://t.co/lz2qwonmDE

[Pontus Abrahamsson @pontusab]

2025 Startup Stack:

🌐 @nextjs: Framework
☁️ @vercel: Hosting
🔐 @supabase: Backend/Auth/Storage
✉️ @resend: Email
💯 @languine_ai - AI Translations
📱 @expo: Mobile
🔔 @novuhq: Notifications
💳 @polar_sh: Payments
���️ @triggerdotdev: Background jobs
📊 @OpenPanelDev: Analytics

[Algorithmic @algortroy]

@nathan_covey They are two different products for different purposes now. Notion used to be note taking, it’s not anymore unfortunately.

[Noam Brown @polynoamial]

Today, I’m excited to share with you all the fruit of our effort at @OpenAI to create AI models capable of truly general reasoning: OpenAI's new o1 model series! (aka 🍓) Let me explain 🧵 1/

[Groq Inc @GroqInc]

Proud to share our Series D Funding announcement, led by BlackRock Private Equity Partners.
We will:
- Add capacity – there’s huge developer demand
- Continue hiring exceptional talent
- Accelerate our next-gen LPU
Groq speed is leading the way in instant AI inference. Thanks for joining us on the journey. Read more: https://t.co/Z0K1Cbh2PH
@SamsungCatalyst @BlackRock @neubergerberman @TypeOneVC @Cisco_Invests @official_kddi

[AI at Meta @AIatMeta]

Starting today, open source is leading the way. Introducing Llama 3.1: Our most capable models yet.

Today we’re releasing a collection of new Llama 3.1 models including our long awaited 405B. These models deliver improved reasoning capabilities, a larger 128K token context window and improved support for 8 languages among other improvements. Llama 3.1 405B rivals leading closed source models on state-of-the-art capabilities across a range of tasks in general knowledge, steerability, math, tool use and multilingual translation.

The models are available to download now directly from Meta or @huggingface. With today’s release the ecosystem is also ready to go with 25+ partners rolling out our latest models — including @awscloud, @nvidia, @databricks, @groqinc, @dell, @azure and @googlecloud ready on day one.

More details in the full announcement ➡️ https://t.co/hhJoLm5eLV
Download Llama 3.1 models ➡️ https://t.co/rRjvmxqCTC

With these releases we’re setting the stage for unprecedented new opportunities and we can’t wait to see the innovation our newest models will unlock across all levels of the AI community.

[Divyansha @divyansha1115]

Excited to share our Graph Foundation Model, 🌐 GraphFM, trained on 152 datasets with over 7.4 million nodes and 189 million edges spanning diverse domains.

🚨 Check out our preprint for GraphFM where we test how our model scales with data and model size, and show efficient finetuning on new datasets.

Link: https://t.co/dfmJWMILMv

[Guillaume Lample @ NeurIPS 2024 @GuillaumeLample]

Very happy to release our new small model, Mistral NeMo, a 12B model trained in collaboration with @nvidia. Mistral NeMo supports a context window of 128k tokens, comes with a FP8 aligned checkpoint, and performs extremely well on all benchmarks. Check it out!
https://t.co/ODovtWkAKK
https://t.co/Lc37V0rC5w

[Together AI @togethercompute]

We are thrilled to release FlashAttention-3 in partnership with @Meta , @nvidia, @Princeton, and @colfaxintl.

The improvements from FlashAttention-3 will result in:
• More efficient GPU Utilization - up to 75% from 35%.
• Better performance with lower precision while maintaining accuracy.
• Ability to use longer context in LLMs more efficiently.

https://t.co/R8whMhMK7H

[Algorithmic @algortroy]

@NotionHQ Love this feature!!

[Michael Dell 🇺🇸 @MichaelDell]

We’re building a Dell AI factory with @nvidia to power @grok for @xai @elonmusk

[Algorithmic @algortroy]

@zeddotdev Brilliant! Especially needed for Python.

[Philip Vollet @philipvollet]

Run state-of-the-art RAG applications locally on your computer with @Ollama and use all the fantastic open-source models like llama3, @mistral's awesome models, or Command R from @cohere

With Verba 1.0, we put it all in your hands 🙌

Get on board for a wild open-source ride, we're bridging any moat as open-source is here to win https://t.co/1cZrOk8g2S