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Viktor Orbán’s electoral loss in Hungary is as much a defeat for Trump and JD Vance. 'Seldom have American leaders intervened so overtly in a foreign election, and seldom has their preferred candidate

VLM Performance：Qwen3.6 is natively multimodal, and Qwen3.6-35B-A3B showcases perception and multimodal reasoning capabilities that far exceed what its size would suggest, with only around 3 billion a

A developer successfully optimized Qwen 3.6-35B model to 2-bit quantization, achieving significant performance improvements with only 13GB RAM requirements while maintaining functionality. The work in

We are super excited to launch the in-app browser inside Codex with comment mode! View any web pages & iterate with your agent quickly with just point and click. Codex will automatically capture a scr

We comprehensively benchmarked Opus 4.7 on document understanding. We evaluated it through ParseBench - our comprehensive OCR benchmark for enterprise documents where we evaluate tables, text, charts,

Anthropic fixed a bug in Claude Opus 4.7 where rate limits for paid subscriptions weren't correctly adjusted for requests using the model's extended context window capabilities. The fix involved reset

We partnered with University of Chicago economist @SuproteemSarkar to study how more capable models have changed the way people use Cursor. Across 500 teams, we find that developers are tackling more

We replicated Mythos findings in opencode using public models, not Anthropic's private stack. The moat is moving from model access to validation: finding vulnerability signal is getting cheaper; turni

We’re back 🔥. Thrilled to be named once again to the @Forbes AI 50. The AI Native Cloud, built for the full AI lifecycle: fast inference, open models, fine-tuning at scale. https://www.forbes.com/list

We're committed to bringing the power of vibe coding to the world. Join Brandon — Replit Fellow, AWS professional, and Stanford instructor — as he travels from city to city to connect with the builder

We're happy to share Replit was just featured on the eighth annual Forbes AI 50 list. A list like this isn't really about the companies, but about the people using them to build. To every developer, f

'We're not looking for the easiest path, we're looking for the right path.' NEW: Aidan Gomez (@aidangomez) is trying to build a very different kind of AI company at Cohere. Based in Toronto, $6.8B-val

We’re open-sourcing HY-World 2.0, a multimodal world model that generates, reconstructs, and simulates interactive *3D worlds* from text, images, and videos. Outputs can be integrated into game engine

We're proud to be on the @Forbes AI 50 list again! It reflects our focus on building secure, sovereign AI that helps enterprises and governments put their data to work on their terms. Learn more: http

Anthropic hosts monthly webinars where they present product updates and new features they've released, with signup information available on their webinars page. The company offers multiple webinar ser

We’ve also added support for 90+ plugins in Codex, giving it more ways to gather context and take action across the tools you already use for docs, project management, code review, creative work, depl

We’ve heard your feedback and we’re working on making it easier to follow everything that’s happening with Claude Code. First, we’re introducing @ClaudeDevs, the official channel to follow for all upd

What you need to know about Opus 4.7 * Takes instructions literally * Better vision means improved computer use and producing slides and other visual artifacts * Optimized for large-scale real-world a

When set up on a Mac mini, Personal Computer can run 24/7 in the background across all your apps and files. Start a task from your iPhone, and Personal Computer can operate on your desktop and local f

While I am not involved in the Bittensor ecosystem I would recommend that they try a council of LLMs style of governance support for all proposals they propose. These should be checked against the whi

With 4.7 you can push a lot further with one prompt. That means multi-file changes, ambiguous debugging, code review across a whole service. The stuff you used to break into small chunks because the m

Anthropic's official X (Twitter) account shared a Wordle puzzle result for game number 1,761, solved in 3 out of 6 attempts. The post shows the characteristic colored tile pattern indicating the progr

This post documents a Wordle game result where the player solved puzzle #1,762 in four attempts, using the standard color-coded feedback system (gray for incorrect letters, yellow for correct letters

You can also set your autocompact threshold yourself and effectively lower your context window if you'd prefer. For example, 400k context is a good compromise: CLAUDE_CODE_AUTO_COMPACT_WINDOW=400000 c

You can now visualize Pi traces that you upload on @huggingface! Let's make sharing agent traces 10x more common to make agent AI more open and collaborative! Also, because it's fun to analyze @badlog

This post discusses how handling large context windows (around one million tokens) in AI systems requires more sophisticated session management strategies rather than simplified approaches, contrary t

@ZoomInfo and @pinecone Deliver Real-Time AI Contact Recommendations for Go-to-Market Teams Read More: https://martech360.com/news/stack-platforms/zoominfo-and-pinecone-deliver-real-time-ai-contact-re

1/5 When we saw our Reducer (=LLM judge component in Maestro, our agentic framework, that selects the best output from parallel agent runs) consistently picking gold patches, we were sure Claude Opus

Cristobal Valenzuela, co-founder and CEO of Runway, posted a cryptic and anticipatory message on X suggesting that something significant is imminent or that current expectations about 2026 may be prem

AI21 Labs shared findings indicating that their model does not simply memorize solutions but instead identifies and recognizes aesthetic qualities associated with high-quality outputs, such as minimal

3/5 An example: In instance psf__requests-1724, the gold fix is 2 lines. Our agent’s functional fix was 8 lines. The LLM judge rejected the correct 8-liner as 'messy' and 'redundant,' choosing a clean

390M+ embeddings. 100K+ namespaces. Sustained P50 latency of ~60ms at ~40 QPS. 📈 @ZoomInfo used our Dedicated Read Nodes, now in GA, to bypass the 'infrastructure wall' and ship real-time AI recommend

4/5 We upgraded our original 3-line “be correct” prompt → a much more detailed prompt that enforced a hierarchy of constraints for correctness, regression safety, and minimality. Basically, get the LL

5/5 The takeaway: If your agent relies on an LLM judge for selection accuracy, measuring code quality isn’t enough; you need a measure of the model's inductive bias toward the 'fingerprint' of a gold

A look at the video outpainting workflow in ComfyUI using LTX 2.3. 🎥 Instead of cropping your 16:9 footage for vertical, use this IC-LoRA setup to generate the missing space and keep your original fra

AGI Inc. is promoting upcoming events and inviting interested individuals to RSVP through a Luma event page to secure invitations. Luma is a platform commonly used for organizing and managing event re

AIサイエンティストが示すような自律的な科学的発見の未来を実現し、現在の課題を乗り越えていくためには、最先端のML研究とプロダクトを繋ぐ強力なエンジニアリングが不可欠です。 https://sakana.ai/careers/#software-engineer-research-and-development 現在Sakana AIでは、研究開発を加速させるSoftware Engineer (

Allbirds, the sustainable footwear company known for its wool and eucalyptus-based sneakers, has reportedly rebranded or pivoted to position itself as an AI compute company, reflecting a broader trend

An undercover BBC investigation has found a ‘shadow industry of law firms and advisers is charging thousands of pounds to help migrants pretend to be gay in order to stay in the UK’. WE KNOW. We’ve al

Elon Musk posted a thank-you message on X to Taiwan Semiconductor Manufacturing Company (TSMC) and Samsung for their manufacturing support in producing a new AI chip. He indicated the chip would becom

ARC-AGI-3 is a new benchmark iteration designed so that any intelligent human applying genuine effort should achieve greater than 90% accuracy, maintaining the benchmark's core principle that tasks mu

ARC-AGI-3 has the lowest human bar of any AI benchmark out there. Almost all benchmarks require specialized knowledge that make them inaccessible to 99%+ of humans (like, say SWE-Bench). ARC-AGI-3 is

As someone who teaches at a business school, I can tell you that the pre-professional student population (as opposed to liberal arts or those pursuing academia or a topic of personal excitement) is ex

Banger paper from NVIDIA. Agentic reasoning needs models that are not just capable, but efficient at long-context inference. The agent model layer is moving toward open, long-context, high-throughput

Been waiting a month for Anthropic to answer a simple usage question about Claude Code subscriptions Have I been ghosted Can I get some questions answered by someone at Anthropic? 1. Can you use an OA

Best part are retrieval and search details: >Agent queries differ from human queries & what good results means changes too >Parallel queries and ranking are both tools to the same outcome >Top-K preci