Latest updates from the world of artificial intelligence
Anthropic released Claude Fable 5 — the first publicly available model in its powerful Mythos class — scoring 80.3 on SWE-Bench Pro (vs 69.2 for Opus 4.8), priced at $10/$50 per million tokens, with classifier guardrails that block cyber, bio, and distillation requests and fall back to Opus 4.8.
Anthropic
Read more →Prediction markets put it near 94%, a tech reporter says it lands June 9, and internal checkpoints named claude-fable-5 have surfaced — but Anthropic has confirmed nothing. Here is what the noise around Claude Fable 5, the rumored public release of its Mythos model, actually amounts to.
Reporting: Alex Heath; Polymarket
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MiMo-V2.5-Pro-UltraSpeed broke the 1,000 tokens-per-second barrier on a one-trillion-parameter model using a single eight-GPU commodity node — roughly 15x faster than GPT-5.5 or Claude Opus, and without a line of custom silicon.
MarkTechPost
Read more →The Chinese lab says its new open-weight model pairs frontier coding, a 1M-token context window and native multimodality on a sparse-attention architecture that cuts long-context compute 20x — but the weights and technical report are still days away, so every number is company-reported.
The Decoder
Read more →A model identifier, claude-oceanus-v1-p, surfaced in Anthropic's console on June 3 and went to vetted red-team testers — then, within hours, an unknown actor allegedly resold access through a Chinese API proxy. None of it is officially confirmed, but it offers an early look at the next model in the Mythos line.
Cyber Security News
Read more →On June 3, two image-AI startups shipped models built on the same wager: that the future of generation is precise layout control, not ever-longer prose prompts. Reve's proprietary 2.0 chases 4K and "images you can touch"; Ideogram's open-weight 4 nails in-image text and bounding-box placement. Both are gunning for OpenAI's GPT Image 2 and Google's Gemini.
Latent Space
Read more →OpenAI's life-sciences model just got a major upgrade. Rebuilt on GPT-5.5, it now outscores the general model on a new benchmark called LifeSciBench across drug discovery, genomics, and medicinal chemistry — and OpenAI is widening access beyond launch partners like Moderna, Amgen, and Novo Nordisk.
OpenAI
Read more →At Build 2026, Microsoft’s AI Superintelligence Team unveiled MAI-Thinking-1, its first in-house reasoning model — a sparse Mixture-of-Experts design with 35B active parameters (~1T total) and a 256K context window. Microsoft says human raters prefer it to Claude Sonnet 4.6 and that it matches Opus 4.6 on the SWE-Bench Pro coding benchmark, and it pointedly trained the model from scratch with zero distillation on commercially licensed data — no OpenAI involved.
Microsoft AI / TechTimes
Read more →JetBrains released Mellum2 under Apache 2.0 on June 2 — a 12B MoE model that activates just 2.5B parameters per token for 2x-faster inference, pitched as a fast specialized component for multi-model AI pipelines.
JetBrains AI Blog
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According to The Information, Microsoft plans to debut a homegrown coding model for GitHub Copilot at its Build conference on June 2–3, part of a wider suite of in-house MAI models led by Mustafa Suleyman. The push to reduce reliance on OpenAI, Anthropic and Google comes as Copilot has lost ground to Anthropic’s Claude Code among developers.
The Information / TestingCatalog
Read more →A BitsMinds analysis. We put each lab’s strongest model through the benchmark portfolio that actually separates frontier systems in 2026 — GPQA Diamond, ARC-AGI-2, AIME, SWE-bench, BFCL and more — then weigh price, context and speed. The short version: Gemini 3.1 Ultra is the sharpest reasoner and the best value, Claude Opus 4.8 owns real coding and agentic work, and GPT-5.5 is the strong all-rounder that everyone already has. Here is the full scorecard.
BitsMinds Analysis
Read more →Anthropic released Claude Opus 4.8 on May 28, 41 days after 4.7 — adding Dynamic Workflows that plan and run hundreds of parallel subagents per session, a user-facing effort dial, a 2.5× faster fast mode at 3× lower cost, and its “most honest” self-review behavior yet, at 4.7’s price.
Anthropic / TechCrunch
Read more →Inside the 512K-line Claude Code source map that npm shipped on March 31 was a feature literally called Undercover Mode — and inside Undercover Mode was a hard-coded list of names it was supposed to scrub from public builds. That list spells out Opus 4.8, Sonnet 4.8, a never-released Sonnet 4.7 and animal codenames Capybara and Tengu — with Capybara described internally as a new tier sitting above Opus.
WaveSpeed AI / ChaoBro / AI Nexus Daily
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Qwen3.7-Max-Preview ships with a 1M-token context, extended-thinking mode, and benchmark gains across CritPt, Humanity's Last Exam, and Terminal-Bench Hard — clearing Gemini 3.5 Flash on the AA Intelligence Index.
Qwen (Alibaba Cloud)
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Test UI strings inside Gemini reveal a new Google video model that lets users remix and edit clips directly in chat, with a likely debut at I/O 2026 on May 19-20.
9to5Google
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Mira Murati's Thinking Machines Lab released a research preview of TML-Interaction-Small, a 276B mixture-of-experts model that responds in under 0.4 seconds and listens while it speaks — outpacing GPT-realtime-2 and Gemini 3.1 Flash Live on the FD-bench latency test.
TechCrunch
Read more →OpenAI rolled out three new voice models on May 7 — a reasoning agent with a 128K context window, a 70-language live translator at $0.034 a minute, and a streaming Whisper that transcribes as you speak.
OpenAI
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Gemini 3.1 Flash-Lite is now generally available on Vertex AI and Gemini Enterprise, pitched as the cheapest, fastest member of the Gemini 3 family for high-volume agentic, classification, and tool-use workloads.
Google Cloud Blog
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Mistral fuses chat, reasoning, and coding into a single 128B dense model and pairs it with Vibe — async cloud-based coding agents that hand back work as pull requests instead of terminal output.
Mistral AI
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Chinese lab DeepSeek released two open-weight V4 preview models with 1M-token context windows, matching closed-source rivals on reasoning while undercutting them on price.
TechCrunch
Read more →NVIDIA's new 30B-A3B mixture-of-experts model unifies vision, audio, and language into a single open system, delivering up to nine times the throughput of comparable open omni models for AI agents.
NVIDIA Blog
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OpenAI's GPT-5.5, codenamed "Spud," brings 82.7% Terminal-Bench 2.0 performance and autonomous multi-step task execution — a step toward OpenAI's unified AI super app.
TechCrunch
Read more →DeepSeek's V4-Pro and V4-Flash arrive with 1.6 trillion parameters, a 1M-token context window, and Apache 2.0 licensing — matching near-frontier performance at 21x less cost than Claude Opus 4.7.
Simon Willison
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Google's Gemini 3.1 Pro hits a verified 77.1% on the ARC-AGI-2 reasoning benchmark — more than double its predecessor — and arrives with a 2-million-token context window, multi-step agentic coding, and support across Gemini API, Vertex AI, and NotebookLM.