hessianSH

We forward deploy engineers to automate operations across your business with AI agents.

[hessianSH @hessian_sh]

Built. Shipped. Running.

[hessianSH @hessian_sh]

Hessian is built end-to-end by us, to best serve you. We ship new features on top of the core continuously — designed to meet your needs and complement the solution providers you already rely on.

[CNN Breaking News @cnnbrk]

Supreme Court limits the power of the federal government to take away guns from drug users https://t.co/gZomQeAkqj

[CNN Breaking News @cnnbrk]

Obama Presidential Center: New site honoring the 44th president's legacy holds opening ceremony in Chicago with all living presidents except Trump present. Follow live updates. https://t.co/Nd0TodAcyd

[OpenAI @OpenAI]

Maria tested the idea across 10,080 reactions, and human chemists later validated representative results by hand.

Under the optimized conditions, yields improved for 88% of the boronic acids and 83% of the sulfonamides tested.

Human chemists then repeated 14 representative reactions by hand: 11 showed higher yields, including 8 with a more than twofold improvement.

[OpenAI @OpenAI]

Benchmarks often test biological knowledge or narrow skills. The tasks in LifeSciBench test whether models can reason from evidence, work with scientific artifacts, handle uncertainty, and make useful decisions under real-world constraints.

GPT‑Rosalind scores above GPT‑5.5 across all seven workflows. These initial results show meaningful progress—and room to improve, particularly on artifact-heavy, design-intensive, and operationally constrained work.

[OpenAI @OpenAI]

Introducing LifeSciBench, a benchmark for measuring and improving how well AI supports real-world life science research.

Developed with 173 scientists from biotechnology and pharmaceutical research, LifeSciBench includes 750 expert-authored tasks across seven biological research workflows.

https://t.co/JTk0wXHFrT

[OpenAI @OpenAI]

Many of these cases had evaded years of expert analysis.

This study suggests AI could make expert-led periodic reanalysis more scalable, helping clinicians revisit old cases as medical knowledge advances, identify leads worth investigating, and potentially bring answers to more families.

https://t.co/LkXTkGL5Q6

[OpenAI @OpenAI]

Rare disease diagnosis is challenging, as sequencing can surface millions of variants, and medical knowledge changes constantly.

o3 Deep Research helped connect clinical features, inheritance patterns, variant evidence, and scientific literature into hypotheses for specialists to review.

Every result went through human adjudication and clinical confirmation. AI’s role here was to help experts reason through complex, fragmented evidence faster and more thoroughly.

[OpenAI @OpenAI]

Together with researchers at Boston Children’s Hospital and Harvard, we published a study in NEJM AI showing how o3 Deep Research helped clinicians revisit previously unsolved rare pediatric disease cases, and find answers for families who had waited years.

[OpenAI @OpenAI]

It's time to fly.

[Google AI @GoogleAI]

Here’s this week’s shipping recap 👇

— Nano Banana 2 & Nano Banana Pro are now GA and available via the Gemini Enterprise Agent Platform, Gemini API, and in @GoogleAIStudio

���Co-Scientist, our new multi-agent system for structured scientific thinking, generates and refines novel hypotheses to solve complex scientific problems

— dreambeans from @GoogleLabs works overnight to curate a personalized daily collection of topics that are relevant to you based on your connected Google apps

— @GoogleGemma 4 12B, our unified encoder-free model, brings powerful multimodal intelligence straight to your laptop fully offline

— Gemma 4 models and their drafters are now optimized with Quantization-Aware Training (QAT) to cut memory requirements and maximize on-device performance

— @GoogleMagenta RealTime 2 is our open-weights live music model that you can play like an instrument using a MIDI keyboard, text prompts, and gestures

[Google AI @GoogleAI]

Read the blog to learn more: https://t.co/vmrrdu7lwt

[Google AI @GoogleAI]

Today, we released Gemini 3.5 Live Translate, our latest audio model for live speech-to-speech translation.

It supports over 70 languages and starts translating as soon as you start talking, streaming translations while listening to what you say next. No awkward pauses or choppy audio, just real connection without language barriers.

So, how does it work? 🤔

The model is able to make split-second decisions to juggle speed and translation quality so conversations actually feel fluid, human, and natural. In order to do this, the model must receive and contextualize the input while simultaneously outputting the translated speech.

Through this process, Gemini 3.5 Live Translate manages to stay mere seconds behind each speaker and can even maintain pacing, pitch, and intonation across extended sessions.

See it in action below, or try it yourself in the Google Translate app on iOS & Android.

[Google AI @GoogleAI]

Here’s what launched this week:

— Gemini 3.5 Live Translate our latest audio model for live speech-to-speech translation

— @NotebookLM got a major upgrade including agentic capabilities in chat, more advanced reasoning, and a suite of new output formats

— Project Genie from @GoogleLabs is now available to Google AI Ultra 5x subscribers globally

— Notebooks in @GeminiApp are now available in the European Economic Area, United Kingdom, and Switzerland

— DiffusionGemma, our newest experimental open @googlegemma model that explores text diffusion, an exceptionally fast approach to text generation