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1.8x Faster GRPO! The reusability of the DFlash adapters extends to online GRPO training since they are robust to fine-tuning of the model weights! https://t.co/T4cvAY2EZS
The beauty of DFlash is that it reuses the hidden states of the active model, so the you can use DFlash adapters for the base models with post-trained models like Carnice 9B/27B by @kaiostephens and Ornstein by @DJLougen and get these local ~4x speedups for you local @NousResearc
EinsteinArena is a platform where AI agents collaborate on open science problems โ submitting solutions, posting in discussion threads, building on each other's constructions in real time. Agents just improved a math problem that's been open since Newton. Kissing Number in dimension 11: 593 โ 604.
ใๆก็จๆ ๅ ฑใSakana AIใงใProject Manager๏ผ่ฃฝ้ ๅ้๏ผใใๅ้๐ https://t.co/NUMdy5gj0a ใจใณใธใใขใปใชใตใผใใฃใผใจๅๅใใฆ่ฃฝ้ ็พๅ ดใฎๅฐ้ฃใช่ชฒ้กใAIใง่งฃใใGo-To-Marketๆฆ็ฅใๆ ใ้่ฆใใธใทใงใณใงใใ ใใฎใใใชใ็ต้จใใๆใกใฎๆนใๅ้ ใปๅคงๆ่ฃฝ้ ๆฅญใใจใณใธใใขใชใณใฐไผๆฅญใงใฎๆฅญๅๆน้ฉ ็ต้จ ใปใณใณใตใซใใฃใณใฐใใกใผใ ใงๆฅๆฌใฎ่ฃฝ้ ๆฅญใๆ ๅฝใใ็ต้จ ใปในใฟใผใใขใใใใฐใญใผใใซใใใฏไผๆฅญใงใฎไบๆฅญ้็บใPjM็ต้จ AIใจ่ฃฝ้ ๆฅญใฎไธกๆนใซๆ ็ฑใๆใคๆนใใใฒใๅฟๅใใ ใใ๐
ใๆก็จๆ ๅ ฑใSakana AIใงใProject Manager๏ผ่ฃฝ้ ๅ้๏ผใใๅ้๐ https://t.co/NUMdy5gj0a ใจใณใธใใขใปใชใตใผใใฃใผใจๅๅใใฆ่ฃฝ้ ็พๅ ดใฎๅฐ้ฃใช่ชฒ้กใAIใง่งฃใใGo-To-Marketๆฆ็ฅใๆ ใ้่ฆใใธใทใงใณใงใใ ใใฎใใใชใ็ต้จใใๆใกใฎๆนใๅ้ ใปๅคงๆ่ฃฝ้ ๆฅญใใจใณใธใใขใชใณใฐไผๆฅญใงใฎๆฅญๅๆน้ฉ ็ต้จ ใปใณใณใตใซใใฃใณใฐใใกใผใ ใงๆฅๆฌใฎ่ฃฝ้ ๆฅญใๆ ๅฝใใ็ต้จ ใปในใฟใผใใขใใใใฐใญใผใใซใใใฏไผๆฅญใงใฎไบๆฅญ้็บใPjM็ต้จ AIใจ่ฃฝ้ ๆฅญใฎไธกๆนใซๆ ็ฑใๆใคๆนใใใฒใๅฟๅใใ ใใ๐
Meta is experimenting with how leadership scales in the AI era. An AI version of Mark Zuckerberg is being trained on his tone, thinking and communication style so employees can interact with a digital version of the CEO. It raises a new question. When presence can be replicated, what does leadership actually mean? https://t.co/PNJt54RyIH
A new AI model is raising alarms across the industry. Anthropicโs Claude Mythos is so powerful that access is being tightly restricted, with Project Glasswing set up to channel its capabilities into defensive cybersecurity. The concern is real. Early tests suggest behavior that goes beyond expectations, reinforcing a broader point: as AI becomes more autonomous, control becomes the central challenge. https://t.co/P5tT8kFBNI @ConversationUS @ConversationEDU
A new approach to AI privacy is gaining attention. Federated unlearning allows organizations to train models collaboratively without centralizing sensitive data, helping sectors like healthcare and finance protect user information. But it comes with a trade-off. Improving privacy at the data level may introduce new complexities and potential vulnerabilities at the system level. https://t.co/ngmasIOzLH @ConversationUS
@BrianHatano @nikitabier I made my own algorithm: https://t.co/kiuZ7QXLzb Works great! Just costs money.
@Taskade Genesis just got its biggest upgrade. โจ Agent Memory. 100+ integrations. Automations that run while you sleep. One prompt โ CRM, client portal, Stripe store. Connected. Deployed. Running. 150,000+ apps live. Welcome to the era of living software. ๐ https://t.co/40P9rXlpzo
@Balu0X My thread goes into some depth about what I mean. I'm seeing lots complain their reach is down and I see that a lot of the complainers are people who did a lot of resharing or regurgitating. AI is now running the feed. I built my own to study how AI thinks: https://t.co/8L5xphk0qQ and it is very good at pulling the high signal stuff out of the tens of thousands of posts that go through my AI lists every day. But I'm seeing it on my feed. I'm seeing dramatically fewer reshares than I used to.
Genie3 generates videos. We generate ๐ฏ๐ ๐๐ผ๐ฟ๐น๐ฑ๐ you can actually use. Launching tomorrow โ Tencent #HYWorld 2.0, an engine-ready World Model๐ This isn't a video. It's a real 3D scene, all generated & editable. One image in. A whole 3D world out. ๐ฅOpen-source tomorrow https://t.co/ewZLzhTqwC
BCI Sector Closes Record First Quarter With Over $960 Million Raised https://t.co/Kuc7PpH3g7 #BCI #Neurotech #BrainComputerInterface
Introducing Kernels on the Hugging Face Hub โจ What if shipping a GPU kernel was as easy as pushing a model? - Pre-compiled for your exact GPU, PyTorch & OS - Multiple kernel versions coexist in one process - torch.compile compatible - 1.7xโ2.5x speedups over PyTorch baselines https://t.co/U0qDdxCWkd
0.3B params. Small enough that your coding agent can OCR a whole dataset, and the bill barely moves. Just added Falcon-OCR to uv-scripts/ocr. `hf jobs uv run` command, bucket or dataset output, AGENTS.md in the repo so your agent figures out the rest. https://t.co/VdY5FrNrCk
We recently worked with @databricks to make the best @huggingface ร @ApacheSpark integration, and went a step further Introducing support for HF Storage Buckets in Spark ! Enabling fully optimized access to both AI datasets and buckets on HF on Spark https://t.co/pgvWj7XCot
Getting started takes about 60 seconds. >Install the CLI with npm, run the installer, and launch Claude Code like normal. Every turn gets logged from that point forward. Sessions, tool calls, subagents, token usage, all in a structured trace you can inspect in Weave. If you're iterating on prompts, context, or skills, this is how you figure out what's working and what's not. Repo ๐ https://t.co/Fw8Pfds7Tu
Now the masked_token_weighted is learning. We ablated the inpainting task, swapped MSE for SmoothL1Loss (more robust to outliers), and per-dim normalized the reconstruction targets, significantly reducing curvature-dim dominance. ref: https://t.co/FL5X61xpbQ https://t.co/0j03IXFXR2
Training a 10M params foundation model on 8xH100s. The regime is self-supervised pretraining on 29GB of CAD and engineering meshes with masked token modeling, contrastive consistency, and spatial inpainting. You could guess what it is for. https://t.co/y9c9v5d8fN
Wandb is one of my most used tools these days as an AI/ML engineer, and it's pretty cool. Training a model using CNN architecture. Understanding how AI works under the hood will be a great leverage going forward. AI in healthcare ๐ https://t.co/bqzcFfO6d4
@bollineni1234 @mriduljoshi_ https://t.co/YkNsJq7RuX
Committing to tracking all my experimentation via wandb and making it public. https://t.co/BPKKTLT1Zu
Committing to tracking all my experimentation via wandb and making it public. https://t.co/BPKKTLT1Zu
@luaroncrew Hey! So, what we can do is give you inference credits to use for our W&B Inference service if you like? Send us an email with your org id or email you use for your account and we'll hook it up. https://t.co/2QXC2j0c0a
You start a training run. You leave for a jog. Your phone buzzes. "Loss diverged." Sprint home. Or... "Loss below threshold." Keep jogging. W&B Automations are now LIVE for everyone! https://t.co/kmDNkMsfVZ
Our Long-Term Benefit Trust has appointed Vas Narasimhan to Anthropic's Board of Directors. Vas brings more than two decades of experience in medicine and global health, including as CEO of Novartis. Read more: https://t.co/DSvtZUTone
Researchers just proved that every single elementary function, sin, exp, log, sqrt, comes from one single binary operator. It is like finding the โGod Particle" for calculus. In computer science, every complex program breaks down to a single logical operator: the NAND gate. It is the fundamental building block of all digital reality. But for continuous math, physics, engineering, machine learning, we thought we needed a massive toolbox. Addition. Subtraction. Trigonometry. Logarithms. Every scientific calculator and neural network has to juggle all of them. Until today. But this paper proved that every single mathematical function can be generated by a single, bizarre binary operator. eml(x,y) = exp(x) - ln(y). Combine that with the number 1, and you can build everything. Pi. The square root. Sine and Cosine. Arithmetic. It is all just the exact same operator, repeating over and over again in a binary tree. Nobody anticipated this existed. It was found by systematic exhaustive search. But the implications for AI are massive. Instead of an AI struggling to combine different mathematical rules to discover a new scientific law, it can just use a single, uniform architecture. One trainable circuit. One repeatable node. We thought the language of the universe was complex. It turns out, it's just one equation repeating in the dark.
Circle Nanopayments lets agents send as little as $0.000001 USDC. Completely gas-free. So weโre turning this into a real build challenge at the Agentic Economy on Arc Hackathon. Powered by @BuildOnCircle @arc @GoogleDeepMind @MindsDB โ https://t.co/u5i3ErvAsU. https://t.co/ordyKntmRs
7 years ago https://t.co/uhoUx2groa
7 years ago https://t.co/uhoUx2groa
PI HARD starring Neil deGrasse Tyson and Elon Musk https://t.co/JdwD0bHbjU
@standrew0x https://t.co/lUXBhbgHb6
https://t.co/tmyxJuaFlT
https://t.co/tmyxJuaFlT
