📅 March 12, 2026 AI Industry Roundup
A translated summary of the Easy AI Daily (zhichai.net) covering industry news, model releases, agent tooling, research, policy, and product launches.
Industry & Company News
- Replit valuation hits $9B: Tripled in six months; pivoting from online IDE to a full AI productivity platform (canvas, apps, websites, slides, video), expanding Agents beyond code into knowledge work. Latent Space deep dive
- Anthropic launches The Anthropic Institute: Led by former policy head Jack Clark (now "Head of Public Benefit"), spanning ML, economics, and social science to study how strong models affect society.
- Yann LeCun founds AMI Labs: Advanced Machine Intelligence raised $1.03B in its first round from NVIDIA, Samsung, Bezos Expeditions and others. Focus: JEPA-based world models that learn from the real world rather than text only. Code and papers planned as open source; no near-term product/revenue expectations.
- /r/LocalLLaMA passes 1 million members: Local-model deployment has gone from niche hobby to mainstream geek phenomenon, reminiscent of early Linux communities.
- NVIDIA Nemotron 3 Super: Open-source 120B-parameter model (~12B active), 1M context, hybrid Mamba-Transformer + Latent MoE, native multi-token prediction (MTP), more memory-efficient KV cache than Qwen3.5-122B. Claimed up to 2.2x faster inference than GPT-OSS-120B on Blackwell; already supported in vLLM, llama.cpp, and Ollama.
- Google Gemini Embedding 2: Multimodal embeddings (text, image, video, audio, PDF) with Matryoshka support for low-dimensional storage. Community notes: relatively pricey for pure text; downsample video frame rates to control cost.
- Qwen3.5 multimodal architecture breakdown: Hybrid Gated DeltaNet linear attention + global attention; 397B-A17B MoE and 27B dense variants; native 262k context extendable to ~1M; MTP used in training.
- Fish Audio S2 TTS: 80+ languages, natural-language emotion tags (e.g.,
[whispers sweetly]), multi-speaker generation, ~100ms first-frame latency. Non-commercial only — not fully open source. - Qwen3.5-35B-A3B "Aggressive" GGUF: Community uncensored release (0/465 refusals reported), 256-expert MoE with 8+1 active experts, image/video input. Some users urge KL-divergence verification of the "no capability loss" claim.
- Apple M5 Max 128GB local LLM tests: Qwen3.5-122B, Qwen3 Coder, gpt-oss-120b and more ran at 16–32k context, up to 2700+ tok/s prompt throughput, using 60–90GB memory.
- Perplexity Personal Computer: A Mac mini as an always-on local+cloud hybrid agent server with file/app/browser access and remote control; enterprise edition orchestrates 400+ SaaS apps with 20 specialized models.
- Replit Agent 4: Multi-agent collaborative canvas for building apps, websites, and slides simultaneously.
- Base44 Superagents: Turnkey workflow agents for non-technical users with built-in Gmail, Slack, Stripe, CRM integrations.
- LangChain Deep Agents auto context compaction: Summarizes history at task boundaries instead of hard token truncation.
- OpenAI computer-use technical brief: Details execution loops, filesystem context, networking, and safeguards for agents controlling computers.
- PostTrainBench v1.0: Tests whether frontier agents can perform post-training on models; on GPT-5.1 Codex Max, medium reasoning length beat very long reasoning due to context compaction.
- EvoSkill: Executor/proposer/skill-builder roles turn task failures into reusable skills; lifted Claude Code + Opus 4.5 accuracy on OfficeQA from 60.6% to 67.9%.
- AgentIR: Encodes agent reasoning traces + queries as vectors; 68% on BrowseComp-Plus vs 52% for larger standard embedding models and 37% for BM25.
- Layer-block duplication on Qwen2-72B: Copying and reinserting 7 middle layers (no weight changes) improved Open LLM Leaderboard scores; suggests Transformer layers are more interchangeable than assumed.
- Karpathy's self-improving agent swarm: ~700 automated changes, 20 effective ones cut GPT-2-level training time from 2.02h to 1.80h (−11%).
- GPT-5.4 reportedly solves an open EpochAI Frontier Math problem: Provisionally judged correct by an Epoch researcher, awaiting confirmation from the problem setter.
- Anthropic: 70–90% of R&D code written by Claude (per TIME reporting); iteration cycles shortened from months to weeks, fueling early "recursive self-improvement" concerns.
- Agent failures are mostly unreliability, not attacks: Princeton-led feedback to NIST argues non-adversarial failures lack definition, measurement, and mitigation.
- Claude Code login outage = "intelligence brownout": A single-day OAuth failure disrupted many developers' workflows; Karpathy's autoresearch lab stalled, highlighting dependence on single cloud models.
- Google medical AI: Found 25% of interval breast cancers missed by routine screening; conversational clinical system AMIE validated as safe and feasible in real pilots.
- Reka Edge: Vision-language model for robotics/physical AI, claiming 3x fewer input tokens and 65% faster throughput than mainstream 8B-class models.
- Faceless YouTube channels with Claude: One creator earned ~$70K in 9 months using Claude scripts + ElevenLabs + Magic Hour + CapCut.
- Claude helps fix real traffic lights: A user's technical email, rewritten by Claude, led a city engineering department to retime a congested intersection (+2–3 cars per cycle).
- Four LLMs paper-trading for 9 weeks: ChatGPT +21.1%, Perplexity +1.1%, Gemini −6.6%, Claude −11.5% — fun case study, not evidence.
- Claude Academy: Anthropic's free online course on using Claude with Amazon Bedrock, GCP Vertex, and education/nonprofit use cases.