Forgot to post this sooner, lol. Multimodal things are coming ⚛️ #OpenRouter #GeminiAI

Software horror: litellm PyPI supply chain attack. Simple `pip install litellm` was enough to exfiltrate SSH keys, AWS/GCP/Azure creds, Kubernetes configs, git credentials, env vars (all your API keys), shell history, crypto wallets, SSL private keys, CI/CD secrets, database

𝗢𝗻𝗲 𝗺𝗲𝗺𝗼𝗿𝘆 𝗰𝗮𝗻’𝘁 𝗿𝘂𝗹𝗲 𝘁𝗵𝗲𝗺 𝗮𝗹𝗹. We present 𝗟𝗼𝗚𝗲𝗥, a new 𝗵𝘆𝗯𝗿𝗶𝗱 𝗺𝗲𝗺𝗼𝗿𝘆 architecture for long-context geometric reconstruction. LoGeR enables stable reconstruction over up to 𝟭𝟬𝗸 𝗳𝗿𝗮𝗺𝗲𝘀 / 𝗸𝗶𝗹𝗼𝗺𝗲𝘁𝗲𝗿 𝘀𝗰𝗮𝗹𝗲, with

https://t.co/KQFafsFjOy

Qwen3.5 dense (smol 🤏) models just dropped - natively multimodal - 0.8B · 2B · 4B · 9B (+ base variants) - 262K context extensible to 1M - built-in thinking fine-tune them with TRL out of the box → SFT, GRPO, DPO and more!

We’re excited to release TorchLean which is the first fully verified neural network framework in Lean. The Lean community has largely focused on pure mathematics. TorchLean expands this frontier toward verified neural network software and scientific computing. With the recent

🚨 BREAKING: Alibaba just handed the AI agent community a production-grade sandbox for free. OpenSandbox is a full-stack platform for running untrusted agent code safely: → Unified APIs across multi-language SDKs → Docker and Kubernetes runtimes purpose-built for agents →

Use local models on remote devices you control—as if they were local. - Introducing LM Link from @LMStudio. - Encrypted, identity-based access to your own LLM hardware. - No public endpoints. No API key sprawl. https://t.co/SGJC0JhlbU

computers used to be deterministic.

New Google paper challenges how we measure LLM reasoning. Token count is a poor proxy for actual reasoning quality. There might be a better way to measure this. This work introduces "deep-thinking tokens," a metric that identifies tokens where internal model predictions shift

Diagonal panning video from a very detailed shaded map of Genova, Italy. The full map is 36000 x 16700 pixels with 0.5 m resolution and is available at https://t.co/hs0XhI8Ann Data source: https://t.co/ewV3IwUWni [Comune di Genova]. #maps #shadedmaps #cartography #shadedrelief

babe wake up the landscape of consciousness theories map dropped

@DrDatta_AIIMS

Do we really need billion-parameter transformers for time series forecasting? What if we did it in under 3M parameters? Introducing Reverso: time series foundation models as small as 200K paramters significantly pushing the Pareto frontier in zero-shot time series forecasting!

100,000+ models trained with Unsloth have now been open-sourced on Hugging Face! Popular fine-tuned LLMs you can run locally: 1. TeichAI - GLM-4.7-Flash distilled from Claude 4.5 Opus (high) 2. Zed - Qwen Coder 7B fine-tuned for stronger coding 3. DavidAU - Llama-3.3-8B

See How the World Has Changed Over Time 🌍🛰️ Ever wondered how cities, infrastructure, or landscapes evolved over the years? World Imagery Wayback makes it easy. This free service archives satellite images since 2014, allowing you to track territorial changes over time by

GLM5 is free in opencode for this week

When writing, we optimize our learning rates. When using LLMs to write, we optimize theirs at the expense of our own. For years, I've been writing for myself: findings, mistakes, wins, losses, breakthroughs. Never shared outside work, though. Maybe I should, we'll see.

Too many people working with multi-agent systems assume that if you just add enough agents and let them talk, interesting social dynamics will emerge. A new paper suggests that the assumption is fundamentally wrong. Researchers studied Moltbook, a social network with no humans,

https://t.co/NhTTz2UbKt

We Millenials grew up with a notion of general "progress" because we saw things getting better. Especially computer games.