
brand partner @rebootstudio_ ex @wearemotto @wearefirma
Barcelona
Joined May 2009
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Santander is scaling AI process automation with Maisa.
We’re working alongside Santander’s teams to deploy AI for more complex processes across its main markets in Europe and the Americas, combining reasoning, execution and traceability with specialized models that can run on the bank’s own infrastructure.
Our collaboration with Santander reflects our commitment to bringing AI into production at scale in one of the most demanding industries, with governance, reliability, and cost efficiency as core priorities.
Read the full story on the @bancosantander website:
santander.com/en/stories/san…
Dídac retweeted
💪 Mercury 3 is the biggest, smartest diffusion LLM ever released, still running at 1000 tok/sec.
❓One of the questions we wanted to answer: does diffusion scale?
📈 Mercury 3 answers that question: diffusion scales! With 40x in total parameters, intelligence across a range of standard benchmarks rose 3x from Mercury 1 (mini). The scaling laws that drove progress in autoregressive models hold for diffusion too.
Full blog with results here: inceptionlabs.ai/blog/introd…
Dídac retweeted
1/4 Today, we’re releasing Mercury 3. Mercury 3 is by far our most powerful model and the most intelligent diffusion LLM ever released. It outperforms GPT-6 Luna and Haiku 5.5 on quality while running at 1000+ tok/sec.
🤖 Made with AI
Dídac retweeted
Today was our biggest day ever. Jev had a whole launch day. We quietly grew 155%. #3 and climbing.
Some snapshots of our latest work at Reboot.
We compress complex tech into scalable narratives.
This time for one of the fastest LLMs, by @_inception_ai.
Mercury 2.5 is out, the fastest LLM in the world. Congrats on the launch @StefanoErmon @volokuleshov @adityagrover_ @LBunzel and rest of the team
Today we're excited to announce Mercury 2.5
It’s the most capable diffusion LLM on the market. It is a 40% jump in intelligence over Mercury 2 and runs at over 1,100 tokens/sec on widely available @NVIDIAAI GPUs.
inceptionlabs.ai/blog/introd…
Dídac retweeted
Today we're excited to announce Mercury 2.5
It’s the most capable diffusion LLM on the market. It is a 40% jump in intelligence over Mercury 2 and runs at over 1,100 tokens/sec on widely available @NVIDIAAI GPUs.
inceptionlabs.ai/blog/introd…
Dídac retweeted
if your data is stored in a database that a company can freely read and access (i.e. not end-to-end encrypted), the company will eventually update their ToS so they can use your data for AI training — the incentives are too strong to resist









