This Week in AI: Model Releases and Company Updates
ksraj1001 · reddit · 2026-07-11
A weekly roundup of AI developments, covering models, products, and organizational changes across major companies:
OpenAI
- Announced the GPT-5.6 family:
- Sol: Frontier reasoning version
- Terra: Nears previous flagship performance at roughly half the cost
- Luna: Faster and cheaper
- Also released GPT-Live-1 with full-duplex voice interaction
- gpt-realtime-2.1 saw a 25% reduction in p95 latency
xAI
- Launched Grok 4.5, priced at $2/M input, $6/M output
- Officially claimed to achieve Opus-level performance in coding, legal, and financial tasks, though the author notes independent benchmarks are pending
Google / DeepMind
- Gemini 3.5 Pro delayed to July 17
- Rumored to feature a completely new architecture supporting 2M context
- Separately, 4 senior DeepMind researchers left within a week, moving to OpenAI and Anthropic
Microsoft
- Consolidating Copilot apps into a unified entry point, targeted for completion in August
- Paid Copilot conversion remains under 4.5% across 450M M365 seats
Meta
- Released Muse Image, the first model from the Superintelligence Labs
- Described as an agentic image generation model capable of invoking search and coding tools while self-correcting
- Will use public Instagram photos for training by default, with an opt-out option
Open Source / Ecosystem
- Ollama secured $65 million in Series B funding, boasting around 8.9 million monthly active developers
- Gemma 4 achieves a 90% speedup on Apple Silicon via multi-token prediction
- DeepSeek will sunset deepseek-chat and deepseek-reasoner on July 24; note during migration that reasoner corresponds to v4-flash thinking, not v4-pro
The author's core takeaway is that simultaneous price cuts across multiple vendors this week matter more than any single benchmark. Falling reasoning costs are reshaping the economic viability of automation scenarios. Conversely, Microsoft's 4.5% paid conversion suggests that general-purpose assistants may not fully capture distribution dividends; task-specific automation is likely where the real value lies.
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