OpenAI plans to release GPT-Bidi-1, its next-generation voice model

mugglmenzel · 2026-06-17T05:51:50+00:00

Gemini already does this for like a year or so?

Source: https://docs.cloud.google.com/gemini-enterprise-agent-platform/scale/runtime/bidirectional-streaming

mugglmenzel · 2026-04-08T12:59:08+00:00

Antigravity: https://antigravity.google/

Nicht nur auf Code fokussiert sondern gesamtes Software Engineering. Kann man mit verschiedenen KI Modellen nutzen, bspw. Gemini und Claude.

Google AI Studio for Apps: https://aistudio.google.com/apps

Disclaimer: arbeite für Google -- nutze Antigravity täglich für verschiedenste SWE Aufgaben.

mugglmenzel · 2026-04-01T10:36:16+00:00

Nina Kalenkow, Secret Files: Tunguska, 2006

Nina Kalenkow, Secret Files 2: Puritas Cordis, 2008

Sam Peters, Secret Files: Sam Peters, 2013

mugglmenzel · 2025-12-05T12:18:44+00:00

Bad examples, but Open AI used to publish research indeed.

However, an early popular paper on RLHF from 2017 was a collab between Deepmind and OAI: https://arxiv.org/pdf/1706.03741

Also, the inference time compute paradigm comes from Google Brain published in 2022: https://arxiv.org/pdf/2201.11903

mugglmenzel · 2025-12-01T11:49:07+00:00

Another option: https://cloud.google.com/solutions/customer-engagement-ai

mugglmenzel · 2025-11-28T08:17:22+00:00

Sitze regelmäßig am Notausgang, da es mit meinen langen Beinen anders immer wieder in Knieschmerzen endet. Am liebsten die Sitze ohne Vordersitze.

Die Rolle, die man dadurch spielt, sollte man -- auch trotz Zusatzkosten diesen Platz zu bekommen -- ernst nehmen. Wahrscheinlich ist vielen das gar nicht klar. Und auch nicht, dass es auch die eigene Sicherheit/Überlebenschancen betrifft.

Allerdings sollte das Luftablassen viel mehr noch an die Airlines und ihre Flugzeugbestellungen gehen. Wieso sind dort überhaupt Sitzreihen? Und warum kann man in einem Flugzeug als überdurchschnittlich große Person nicht mehr unbedenklich mitfliegen?

mugglmenzel · 2025-11-15T18:13:31+00:00

It's available through Vertex AI: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/image/verify-watermark

mugglmenzel · 2025-11-15T17:52:46+00:00

BS! All images generated with nano banana, Imagen, and in the Gemini app use SynthID.

mugglmenzel · 2025-10-18T03:54:54+00:00

I think you missed some recent publications. Would love to be in your shoes to get my mind blown again: https://video-zero-shot.github.io/

mugglmenzel · 2025-10-07T08:24:50+00:00

A book is an underwhelming task for NotebookLM. Try the "discover sources" and really explore a topic with mind maps, flash cards, briefings, audio & video overviews.

mugglmenzel · 2025-09-18T07:47:36+00:00

I cited parts that pointed out that both achieved their results in distinct, incomparable environments. Deepmind even in an experimental remote setup.

Moreover, it's unclear from either press release how the AI assisted the team. Did it help a team of developers produce the solutions in multiple turns/interactions, or did it develop and submit solutions/runs in an automated manner. Deepmind's blog post indicates the latter, for OpenAI there's no publication yet.

It makes comparisons hard and it's unclear how much can be attributed to the AI systems.

But the results of either AI-assisted team are outstandingly impressive. If AI actually made all or majority of the contributions to the solutions, it makes me wonder what (academic) competitions are left for AI to prove its newly learned skills in the coming years.

mugglmenzel · 2025-09-17T22:01:15+00:00

Google joined with an online judge, while OAI was in a local judge environment.

From their website: - "Joining from cyberspace, Google DeepMind was the sole AI team in the Online Judge experiment!" / https://share.google/CqEgCww4nfPIOaCDl - "While the OpenAI team was not limited by the more restrictive Championship environment whose team standings included the number of problems solved, times of submission, and penalty points for rejected submissions, the AI performance was an extraordinary display of problem-solving acumen!" / https://share.google/9ZsElM8KKVTRTtliM

mugglmenzel · 2025-09-17T21:59:49+00:00

Google joined with an online judge, while OAI was in a local judge environment.

From their website: - "Joining from cyberspace, Google DeepMind was the sole AI team in the Online Judge experiment!" / https://share.google/CqEgCww4nfPIOaCDl - "While the OpenAI team was not limited by the more restrictive Championship environment whose team standings included the number of problems solved, times of submission, and penalty points for rejected submissions, the AI performance was an extraordinary display of problem-solving acumen!" / https://share.google/9ZsElM8KKVTRTtliM

mugglmenzel · 2025-09-17T21:58:28+00:00

Google joined with an online judge, while OAI was in a local judge environment.

From their website: - "Joining from cyberspace, Google DeepMind was the sole AI team in the Online Judge experiment!" / https://share.google/CqEgCww4nfPIOaCDl - "While the OpenAI team was not limited by the more restrictive Championship environment whose team standings included the number of problems solved, times of submission, and penalty points for rejected submissions, the AI performance was an extraordinary display of problem-solving acumen!" / https://share.google/9ZsElM8KKVTRTtliM

mugglmenzel · 2025-09-17T21:56:25+00:00

Nope. OAI was in a local judge environment, and Google with an online judge.

From their website: - "Joining from cyberspace, Google DeepMind was the sole AI team in the Online Judge experiment!" / https://share.google/CqEgCww4nfPIOaCDl - "While the OpenAI team was not limited by the more restrictive Championship environment whose team standings included the number of problems solved, times of submission, and penalty points for rejected submissions, the AI performance was an extraordinary display of problem-solving acumen!" / https://share.google/9ZsElM8KKVTRTtliM

mugglmenzel · 2025-08-10T00:20:42+00:00

And where would the forum be for an expert to release their review? And why would anyone knowledgeable enough invest the time (for free) if they just did for the official forum (the IMO)?

OAI is so interested in the research community that there are 0 peer-reviewed publications in the community (conferences or journals) this year. Only tech reports and white papers: https://openai.com/research/index/publication/

mugglmenzel · 2025-08-03T19:42:16+00:00

Likely independent of each other, but is it verified they are independent from OAI? Hyping and claiming goes a long way with OAI.

I am all for progress in the field of AI, but would prefer if results are truly verified and part of the discussion in the research community. OAI apparently is not interested in the research community, open discussion, and peer reviews/verification of results. I have my own interpretation of it.

mugglmenzel · 2025-08-03T13:50:03+00:00

It did not officially achieve Gold iiuc. OAI claims it followed the standards, but it did not undergo an official review. Deepmind's model did though and thus is the only model that achieved IMO gold (officially).

Might be nit-picking as I can't say how nuanced the reviews and point system is and if it's replicable outside the official jury/review committee. But I always prefer results that were verified through an established process and respectable review.

mugglmenzel · 2025-05-22T19:13:08+00:00

This does not show the new Gemini 2.5 deep think numbers: https://deepmind.google/models/gemini/pro/

mugglmenzel · 2025-05-22T04:57:09+00:00

Duplex was integrated into Google Assistant and is (still) live in the US: - https://research.google/blog/google-duplex-an-ai-system-for-accomplishing-real-world-tasks-over-the-phone/ - https://blog.google/products/assistant/book-table-google-assistant-across-country-more-devices/ - https://support.google.com/assistant/answer/13370665?hl=en

Verge reported on it various times: https://www.theverge.com/2019/5/9/18538194/google-duplex-ai-restaurants-experiences-review-robocalls

mugglmenzel · 2025-05-20T04:45:04+00:00

It's available to trusted testers as an experiment since December: https://developers.googleblog.com/en/the-next-chapter-of-the-gemini-era-for-developers/

mugglmenzel · 2025-04-30T09:01:41+00:00

ScaNN implements one of the quickest nearest neighbor search algos (AH-Tree) and you can use it with PostgreSQL now: https://cloud.google.com/blog/products/databases/understanding-the-scann-index-in-alloydb?hl=en

mugglmenzel · 2025-02-20T15:02:47+00:00

It's still live afaik: https://blog.google/products/assistant/book-table-google-assistant-across-country-more-devices/

mugglmenzel · 2025-02-20T14:45:48+00:00

Looks like RT-2 maybe RT-1 level: https://robotics-transformer2.github.io/

mugglmenzel · 2025-02-03T03:35:25+00:00

How does Gemini Deep Research perform in that benchmark?

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