Diego Evin (@diegoevin) 's Twitter Profile
Diego Evin

@diegoevin

Researcher from the southend. Working on Machine Learning, Biomedical Eng. & Speech Technology

ID: 278730565

calendar_today07-04-2011 21:20:27

877 Tweet

279 Followers

1,1K Following

Stanford HAI (@stanfordhai) 's Twitter Profile Photo

📢 The #AIIndex2024 is now live! This year’s report presents new estimates on AI training costs, a thorough analysis of the responsible AI landscape, and a new chapter about AI's impact on medicine and scientific discovery. Read the full report here: stanford.io/49CbsZp

Perfil Córdoba (@perfilcordoba) 's Twitter Profile Photo

🔴 Un ladrón fue asaltado por otros ladrones: otro insólito hecho de inseguridad en Córdoba • Un asaltante sorprendió a una taxista, la amenazó con un arma y la obligó a trasladarlo a la Manzana 17, de Cooperativa 16 de Abril. • Al llegar, el delincuente y la taxista fueron

🔴 Un ladrón fue asaltado por otros ladrones: otro insólito hecho de inseguridad en Córdoba 

• Un asaltante sorprendió a una taxista, la amenazó con un arma y la obligó a trasladarlo a la Manzana 17, de Cooperativa 16 de Abril. 

• Al llegar, el delincuente y la taxista fueron
The Nobel Prize (@nobelprize) 's Twitter Profile Photo

BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”

BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
Alex Reibman 🖇️ (@alexreibman) 's Twitter Profile Photo

OpenAI’s biggest rival is shaking things up. Anthropic invited 200+ elite hackers to their SF headquarters to see what’s possible with Claude Here’s what we saw at the Anthropic x Menlo Ventures Builder Day Hackathon (🧵):

OpenAI’s biggest rival is shaking things up.

Anthropic invited 200+ elite hackers to their SF headquarters to see what’s possible with Claude

Here’s what we saw at the <a href="/AnthropicAI/">Anthropic</a> x <a href="/MenloVentures/">Menlo Ventures</a> Builder Day Hackathon (🧵):
Atlassian Williams Racing (@williamsracing) 's Twitter Profile Photo

From dream to drive 🙌 Through interviews with Franco and key figures from the team, experience his journey from F3, the pressure of breaking into F1, and the preparation it takes to earn a seat on the grid. Watch the full video below 📲

ASM (@asm65617010) 's Twitter Profile Photo

DeepSeek-R1 is a fully open-source reasoning model with amazing capabilities for its size. It's worth reading the accompanying paper: its emerging reflections on its own thinking and 'aha' moments enhance the model's reasoning capabilities.

DeepSeek-R1 is a fully open-source reasoning model with amazing capabilities for its size.

It's worth reading the accompanying paper: its emerging reflections on its own thinking and 'aha' moments enhance the model's reasoning capabilities.
Anthropic (@anthropicai) 's Twitter Profile Photo

Today we’re launching the Anthropic Economic Index, a new initiative aimed at understanding AI's impact on the economy over time. The Index’s first paper analyzes millions of anonymized Claude conversations to reveal how AI is being used today in tasks across the economy.

Today we’re launching the Anthropic Economic Index, a new initiative aimed at understanding AI's impact on the economy over time.

The Index’s first paper analyzes millions of anonymized Claude conversations to reveal how AI is being used today in tasks across the economy.
Thomas Wolf (@thom_wolf) 's Twitter Profile Photo

I want to share bit of context on today's new releases from DeepSeek: three very small (0-500 lines of code), self-contained, yet fascinating newly open-sourced repositories. Let's dive in! 1. The first one is just data: DeepSeek/Profile-data (links at the end) While this repo

I want to share bit of context on today's new releases from DeepSeek: three very small (0-500 lines of code), self-contained, yet fascinating newly open-sourced repositories. Let's dive in!

1. The first one is just data: DeepSeek/Profile-data (links at the end)
While this repo
DeepSeek (@deepseek_ai) 's Twitter Profile Photo

🚀 Day 5 of #OpenSourceWeek: 3FS, Thruster for All DeepSeek Data Access Fire-Flyer File System (3FS) - a parallel file system that utilizes the full bandwidth of modern SSDs and RDMA networks. ⚡ 6.6 TiB/s aggregate read throughput in a 180-node cluster ⚡ 3.66 TiB/min

Google AI (@googleai) 's Twitter Profile Photo

Inspired by the success of LLMs, today on the blog we discuss how neural activity in the human brain aligns linearly with the internal contextual embeddings of speech and language within LLMs as they process everyday conversations. Learn more →goo.gle/4iiUoNj

Inspired by the success of LLMs, today on the blog we discuss how neural activity in the human brain aligns linearly with the internal contextual embeddings of speech and language within LLMs as they process everyday conversations. Learn more →goo.gle/4iiUoNj
Google Health (@googlehealth) 's Twitter Profile Photo

Exciting news from #GoogleIO! We’re introducing MedGemma, our most capable open model for multimodal medical text and image comprehension built on Gemma 3.

Rohan Paul (@rohanpaul_ai) 's Twitter Profile Photo

BRILLIANT Google DeepMind research. Even the best embeddings cannot represent all possible query-document combinations, which means some answers are mathematically impossible to recover. Reveals a sharp truth, embedding models can only capture so many pairings, and beyond that,

BRILLIANT <a href="/GoogleDeepMind/">Google DeepMind</a> research.

Even the best embeddings cannot represent all possible query-document combinations, which means some answers are mathematically impossible to recover.

Reveals a sharp truth, embedding models can only capture so many pairings, and beyond that,
Andriy Burkov (@burkov) 's Twitter Profile Photo

This paper really is groundbreaking. It solves a long-standing embarrassment in machine learning: despite all the hype around deep learning, traditional tree-based methods (XGBoost, CatBoost, random forests, etc) have dominated tabular data—the most common data format in

This paper really is groundbreaking. It solves a long-standing embarrassment in machine learning: despite all the hype around deep learning, traditional tree-based methods (XGBoost, CatBoost, random forests, etc) have dominated tabular data—the most common data format in
Andrej Karpathy (@karpathy) 's Twitter Profile Photo

In today's episode of programming horror... In the Python docs of random.seed() def, we're told "If a is an int, it is used directly." [1] But if you seed with 3 or -3, you actually get the exact same rng object, producing the same streams. (TIL). In nanochat I was using the

In today's episode of programming horror...

In the Python docs of random.seed() def,  we're told
"If a is an int, it is used directly." [1]

But if you seed with 3 or -3, you actually get the exact same rng object, producing the same streams. (TIL). In nanochat I was using the
Aakash Gupta (@aakashg0) 's Twitter Profile Photo

The entire AI industry spent a week convinced DeepSeek had secretly launched V4. Reuters reported it. Developers debated it. OpenRouter usage charts broke. It was Xiaomi. A smartphone and electric vehicle company just shipped a 1-trillion-parameter model that topped the world's