Evangelos Kazakos

Why they matter

Directory member with public evidence across Agents & robotics, AI business, AI research.

AI signals
47
past 30d
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25
distinct domains
Discussões
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past 30d
Latest signal
1d ago
View every signal from Evangelos Kazakos →
Postdoctoral researcher @ CIIRC, CTU, Prague working in vision & language. Also robotics noob. PhD from University of Bristol. Ex. Samsung Research (SAIC-C). I love coffee and plants. And socks. 𖤓꩜𓆉𓃰𖤐 https://ekazakos.github.io/

Articles & links

Evangelos Kazakos reposted
Cameron @cameron.stream

Happy Claude Day www.anthropic.com/news/claude...

Introducing Claude Opus 5 anthropic.com
AI Weekly's analysis
  • Anthropic launched Claude Opus 5 on July 24, 2026 at $5 per million input tokens, matching Opus 4.8's rate.
  • On Frontier-Bench v0.1 Opus 5 scored 43.3%, versus 18.7% for Opus 4.8 and 33.7% for Fable 5.
  • Opus 5 becomes the default on Claude Max but sits behind Mythos 5 on cybersecurity tasks, per Anthropic.
Read full analysis →
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Evangelos Kazakos reposted
Margaret Mitchell @mmitchell.bsky.social

📣 Announcing the release of the 🕊️ Annotated Encyclical 🕊️ from the ethics & society folks at @hf.co. Includes citations to relevant academic work. Very much a WIP. Please add work we haven't added yet! huggingface.co/spaces/socie...

The Annotated Encyclical - a Hugging Face Space by society-ethics huggingface.co
AI Weekly's analysis
  • Hugging Face's society-ethics team added 105 scholarly AI ethics citations to Pope Leo XIV's May 2026 encyclical Magnifica Humanitas.
  • The encyclical declares technology 'is never neutral' and warns that 'never has humanity had such power over itself.'
  • The annotation project is open for community contributions linking academic AI ethics research to the papal document.
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Evangelos Kazakos reposted
Mark Riedl @markriedl.bsky.social

Claude is getting watermarks. I presume GPT will need to implement this too to comply with EU regulations support.claude.com/en/articles/...

How Claude marks AI-generated content | Claude Help Center support.claude.com
AI Weekly's analysis
  • Anthropic has committed to the EU AI Act's Article 50(2) Code of Practice on Transparency of AI-Generated Content, per its Claude support docs.
  • Claude models released on or after August 2, 2026 support machine-readable marking at launch; earlier models are still being retrofitted.
  • Text gets an imperceptible watermark; .svg, .png, and .jpg outputs get signed C2PA provenance metadata, but Anthropic says detection is not conclusive.
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@iclr-conf.bsky.social There is a discrepancy/ ambiguity regarding the paper submission deadline. iclr.cc/Conferences/... and iclr.cc/Conferences/... say 25th of September while iclr.cc/Conferences/... says 16th of September. A clarification would be highly appreciated! 🙏

ICLR 2027 Author Guidelines iclr.cc
View on Bluesky · ♥ 3 ↻ 1 ↩ 0 · 3 from the directory shared this · 19d ago
Evangelos Kazakos reposted
adinayakup.bsky.social @adinayakup.bsky.social

BAAI just released the Orca paper 🔥 ( weights coming soon ) huggingface.co/papers/2606.... A Multimodal Latent World Model: it learns the world itself first, and text/images/actions are just different ways to read it out 💡

Paper page - Orca: The World is in Your Mind huggingface.co
AI Weekly's analysis
  • Orca pretrains on 125K hours of video and 160M event annotations using a single Next-State-Prediction objective on a frozen Qwen3.5 backbone.
  • Orca-4B averages 51.8 across MVBench, TemporalBench, 3DSRBench, and SWITCH, ahead of Qwen3.5-4B's 46.7 at the same size.
  • On a real-robot out-of-distribution test Orca reports 36.6% versus π₀.5's 27.6%, despite using no action labels in pre-training.
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Evangelos Kazakos reposted
@ec.europa.eu

🔹 AI-generated media, ‘deepfakes’ must be clearly labelled as such 🔸Chatbots and virtual agents must explicitly state they aren't human 🔹You must be told when AI is actively analysing you, like biometrics, emotion tracking → link.europa.eu/gTvhRX

AI Act digital-strategy.ec.europa.eu View on Bluesky →

Recent commentary

One great use case of agentic LLMs, for which I haven’t seen much discourse about (although obviously I’m sure people do this), is cleaning large-scale pre-training data with calling tools, including open-source LLMs etc. It does an AMAZING 🤩 job, and saves tones of time!

View on Bluesky · ♥ 5 ↻ 0 ↩ 0 · 6d ago

I watch the discussion over Anthropic on Bluesky with 🍿🍿🍿

View on Bluesky · ♥ 5 ↻ 0 ↩ 0 · 74d ago

Suddenly everyone's algorithms started "self-improving"... Like, there are no human researchers working in the companies, or thousands of raters for RLHF. LIARS

View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 62d ago

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