The Samara Regional Court removed Communist Party State Duma deputy Matveyev from the upcoming elections over the use of copyrighted Microsoft fonts and photos of Matveyev himself on his website.

The court upheld a lawsuit filed by Anna Sarantseva, a candidate for the Pensioners’ Party and Matveyev’s opponent in the Samara region.

Rossiya TV Channel, January 1, 2013

Maxim Galkin and Volodymyr Zelensky host the program "First New Year's Eve ," and Vladimir Solovyov vibing to the performance.

AI is starting to move beyond merely discussing science and into actually carrying out substantial chunks of experimental-science workflows.

Claude is capable of acting as a computational research agent. It autonomously designed new proteins and automated routine analytical chemistry.

On the protein-design task, Claude appears to be competitive with, and in some cases better than, expert humans.

The most direct head-to-head comparison is the RBX1 competition:

- Human competition participants: 3.7% hit rate
- Mythos: 40% hit rate
- Claude's best binder also had higher affinity than the competition-winning human submission.

Read more: https://www.anthropic.com/research/Claude-accelerates-protein-design

[Of course, as everyone knows, AI will remain at precisely this stage of development. It won't be any better in a year from now. So you can completely ignore this as unimpressive and useless. Thank you for your attention to this matter.]

What you'll immediately notice when talking to Russians or their useful idiots is their third-world nigger mindset. They count it as "winning" when others suffer through their actions, despite the fact that they hurt themselves in doing so while gaining next to nothing. They think dying for an offensive war to steal other people's land is the same as dying to defend against it.

Just a reminder of what Putin has "achieved" so far:

- Putin turned a completely harmless brotherly country into one that bombs Russia every day. As a consequence, Russia needs to import fuel from India. Tens of thousands of people lost their jobs because Russia's biggest logistics hubs are being taken out one by one.

- Putin has expanded the NATO-Russia border by 1,340 km. Two historically neutral countries joined NATO.

- Putin pushed European defense spending above 2% of GDP. Before February 2022, countries like Germany considered Russia a partner and even sold defense products to Russia. Nobody gave a flying fuck about Ukraine.

- Putin lost a majority of the European export market and became more dependent on China.

- The Black Sea Fleet had to flee Crimea after losing more than 33-40% of its assets, only to be attacked in Novorossiysk as well.

- Russia's enemies now widely believe Russia to be weak. NATO Secretary General literally called Russia a paper tiger. Remember, back in February 2022, they were so scared of Russia that Germany only considered sending some helmets to Ukraine.

What's the best-case outlook for Russia? Capturing a completely destroyed Donbas while Ukraine starts the mass production of cruise and ballistic missiles, becoming a greater danger to Russia than it has ever been.

Remember that nobody listened to people like John McCain warning about Russia. Even after Putin invaded Georgia and annexed Crimea, people like Obama were ridiculing warnings about Russia, while people like Merkel continued building greater economic interdependencies with Russia.

Anti-Russian sentiments were politically niche. Italy’s Salvini literally wore a Putin fan-shirt on the Red Square. Germany's former Chancellor Schröder worked for Russian energy companies.

Putin destroyed all of this to capture some rubble and poisoned fields in Eastern Ukraine.

The irony here is that Vietnamese gay singer Đức Phúc won the 2025 Intervision Song Contest near Moscow.

Inviting a schizophrenic Nazi nigger to hold a concert in Saint Petersburg also seems somewhat contradictory.

Local minima are extremely rare in high dimensional spaces, so if you ever feel stuck in a rut it’s probably just because you aren’t considering a wide enough set of orthogonal options

– corsaren

The Dragon‑Tyrant

https://nickbostrom.com/papers/the-fable-of-the-dragon-tyrant/

Checking in on the 3-day special military operation:

Everything is proceeding according to plan ✅

Moderna stock surges over 100 %. Its personalized cancer vaccine succeeded in a late-stage trial: https://www.reuters.com/legal/litigation/merck-moderna-say-melanoma-skin-cancer-vaccine-meets-goals-large-trial-2026-08-19/

It is given after surgical removal of high-risk melanoma, together with Merck's checkpoint inhibitor Keytruda (pembrolizumab). The vaccine is customized to the mutations in each patient's tumor, teaching the immune system to recognize those tumor-specific neoantigens.

Towards an AlphaZero moment for LLMs?

Today, we are introducing Ornith-1.5, a major step toward building foundation models through end-to-end self-improvement. Ornith-1.5 extends the self-scaffolding framework introduced in Ornith-1.0 into a more complete self-improvement loop: the model proposes new tasks, generates task-specific scaffolds, and produces solution rollouts for reinforcement learning, continuously creating new learning experiences from which it can improve.

It achieves state-of-the-art performance among open-source models of comparable size and delivers performance comparable to Claude Opus 4.8 across reasoning, agentic, and coding tasks.

Read more: https://ornith.ai/ornith_1_5.html
Weights under an MIT license: https://huggingface.co/collections/ornith-ai/ornith-15

[Need to wait for independent evaluation to see if their automated post-training pipeline avoided evaluator gaming.]

GEN-1.5: a one-shot learner.

It can learn new tasks in a few seconds. Show it what to do, and it generalizes.

Physical prompts can be composed. Demonstrations of 2 different tasks in context prompts GEN-1.5 to chain them into one continuous skill. The model bridges them and produces intermediate motions (repositioning, regrasping, error recovery) that appear in neither demonstration.

In-context learning also crosses the sim-to-real gap, zero-shot. Prompts can be formed entirely from simulated experience (e.g., from a scripted policy, an RL agent, or a human teleoperating a simulated robot) and be used to produce behaviors on a real robot. The model was not trained on the task in either the simulator or the real world.

In some cases, in-context learning with GEN-1.5 transfers across the embodiment gap entirely: a human demonstrates a task with their own hands, observable through the robot’s cameras, and the robot can reproduce it immediately afterward.

Read more: https://generalistai.com/blog/gen-1.5