Agentic AI News Aug. 20, 2026

Ornith-1.5 open family. Ornith-1.5 released in 9B dense, 35B MoE, and 397B MoE under MIT with strong agentic and coding benchmarks; community quantizations show the 35B runs at 60 tk/s on a 12GB 4070 Ti and the 9B outperforms earlier small models.

• Ornith-1.5 (397B [DeepSWE 56], 35B-A3B, 9B)(opens in a new tab)
• We have Q3.8 35B at home: 3x new Ornith 1.5 released(opens in a new tab)
• We quantized the new Ornith 1.5 9B and 35B-A3B(opens in a new tab)
• Ornith-1.5-35B-A3B Q4 running 60tk/s on 4070Ti.(opens in a new tab)
• Ornith-1.5 9B might not be bad at all(opens in a new tab)

Qwen3.8-27B field reports. Local users report Qwen3.8-27B can autonomously execute 80+ tool calls and handle long agentic chains, but its offline knowledge and strict coding scores are weaker than predecessors, so it works best with clear direction or a copilot.

• Qwen3.8-27b has the highest level of "agency" I've ever seen in a local model(opens in a new tab)
• Qwen3.8-27B took a serious hit to *knowledge* vs 3.6(opens in a new tab)
• Qwen 3.8 27B SlopCodeBench results(opens in a new tab)
• Am I doing something wrong? Qwen 3.8 27B seems useless for agentic coding(opens in a new tab)

Qwen3.8 speedups and quants. Community efforts pushed Qwen3.8-27B to 138 tps on an RTX 3090 with DFlash2, released Dynamic V3 quants claiming 10% higher accuracy, a depth-pruned 22.7B Mini-Me, and native FP4 on 2017 V100s matching a 5090.

• I pushed Qwen3.8-27B limits again... Dflash2 - 134 tps on a RTX 3090(opens in a new tab)
• DFlash2 speeds Qwen 3.8 27B up to 4 times(opens in a new tab)
• Introducing Qwen3.8-27B Dynamic v3 Unsloth GGUFs(opens in a new tab)
• updated unsloth/Qwen3.8-27B-GGUF · Hugging Face(opens in a new tab)
• Qwen3.8-23B-Mini-Me: A Depth-Pruned Qwen3.8-27B (to ~22.7BB)(opens in a new tab)
• NVFP4 on VOLTA! Despite being built for Blackwell, I made four 2017 V100s run Qwen 3.8 NVFP4 natively and match my $6000 RTX 5090.(opens in a new tab)

Ling base checkpoints. AntLing open-sourced base and midtrain checkpoints for Ling-3.0-tiny and flash without post-training, and a user pairs Ling tiny as an auxiliary for context compression alongside Qwen3.8.

• AntLing’ve open-sourced 6 Base Model checkpoints for Ling-3.0-tiny & Ling-3.0-flash, covering pre-trained, mid-trained, and WSM-merged stages.(opens in a new tab)
• ling 3.0 flash/tiny base models(opens in a new tab)
• Ling 3.0 Tiny makes an amazing auxillery model for Hermes (Qwen 3.8 27B as the primary model)(opens in a new tab)

LFM2.5 QAD quants. Liquid AI released Q4_0 checkpoints trained with quantization-aware distillation, recovering 97% of BF16 accuracy with the same speed and memory.

• LFM 2.5 QAD(opens in a new tab)
• LFM2.5 Q4\_0 Checkpoints from Quantization-Aware Distillation(opens in a new tab)

GLM-5.3 and frontier releases. GLM-5.3 ties Kimi K3 atop open-model rankings with large agentic gains and lower cost, though open weights are delayed two weeks; DeepSeek V4-Pro GA and NVIDIA Nemotron 3.5 Lightning/NeMo Switchyard also shipped.

• GLM-5.3 tops the open-model rankings and undercuts rivals on price, but its release is delayed(opens in a new tab)
• The Sequence Frontier Learning - Issue 917: Understanding DeepSeek V4-Pro, GLM-5.3, NVIDIA Nemotron 3.5 Lightning and NeMo Switchyard(opens in a new tab)

Secure sandboxes. Simon Willison tested smolmachines/smolvm as a sandbox for untrusted Python and JavaScript with CPU/RAM limits and no network; Jeremy Morrell argues LLM-authored extensions plus sandbox primitives enable safe extensible software.

• smolmachines / smolvm as a sandbox for untrusted Python & JavaScript(opens in a new tab)
• Quoting Jeremy Morrell(opens in a new tab)

Replit Free Mode. Replit introduced Free Mode powered by GPT-5.6 Luna, letting anyone build apps and agents without token-cost constraints.

• Replit expands access to software creation with GPT-5.6 Luna(opens in a new tab)

Calendly AI notes. Calendly entered meeting note-taking with summaries, action items, and an upcoming Callie assistant that uses meeting context to schedule follow-ups.

• Calendly throws its hat into meeting note-taker circus(opens in a new tab)

Meta AI Mac app. Meta launched a Mac app for its AI chatbot with screen sharing, dictation, and Google Workspace integration to compete with Gemini, ChatGPT, and Claude desktop assistants.

• Meta AI is getting a Mac app(opens in a new tab)

WhatsApp on-device scam detection. WhatsApp is testing Scam Alert, an optional on-device model that classifies messages from non-contacts while using confidential federated analytics to preserve privacy.

• Whatsapp Tests on Device ML for Scam Detection with Privacy Preserving Analytics(opens in a new tab)

Google study tools. Google rolled out a Gemini student hub, AI-generated interactive visuals and quizzes in Search, and Deep Research in Gemini Live for back-to-school.

• Google Gemini is getting a dedicated student hub(opens in a new tab)
• Google packs Search and Gemini with new AI study tools(opens in a new tab)
• 5 new ways to level up your learning with Search(opens in a new tab)

Alexa+ free on Fire TV. Amazon made Alexa+ free on Fire TV without Prime, rolling out conversational search, smart home controls, and AI recommendations automatically.

• Amazon makes its AI-powered Alexa+ free on Fire TV, no Prime required(opens in a new tab)

Stripe buys OpenRouter. Stripe confirmed a $7.5 billion acquisition of OpenRouter, and founders cited the 'singularity' as a reason to stay private and invest in agent infrastructure.

• Stripe didn’t really buy OpenRouter because of the ‘singularity’(opens in a new tab)
• Stripe declares we're living in the singularity and uses it as a reason not to IPO(opens in a new tab)

SpaceX-Cognition report denied. Bloomberg reported SpaceX attempted to acquire Cognition, but CEO Scott Wu denied the story, saying Cognition is not for sale and no talks occurred.

• Cognition CEO denies report that SpaceX tried to acquire the startup(opens in a new tab)

Anthropic revenue lead. Anthropic passed OpenAI on quarterly revenue for the first time, hitting $11.6B with a small operating profit while OpenAI's $6.7B came with deeper losses.

• Anthropic passes OpenAI on revenue for the first time(opens in a new tab)

Compute as asset class. Nvidia is working with Apollo, BlackRock, and others on $500B in financing to treat compute as an investable asset; Silicon Data raised $30M to launch CME GPU futures.

• Nvidia’s new financial strategy does not compute(opens in a new tab)
• Meet the startup helping Wall Street put a price on AI compute(opens in a new tab)

Memory and chip supply. DRAM prices are up 500% in 12 months and hyperscalers have locked 2027 supply; China is allowing small H200 batches to ByteDance and Tencent to ease inference capacity.

• [AINews] Memory prices up 500% in 12 months(opens in a new tab)
• China lets Nvidia's H200 chips trickle onto the mainland to help its AI firms keep pace with the US(opens in a new tab)

Data center infrastructure. TerraPower plans a data center project using its Natrium reactor's energy storage, while Relativity Networks raised $22M for hollow-core fiber that transmits data 50% faster.

• TerraPower’s nuclear reactor has a secret weapon for powering AI data centers(opens in a new tab)
• Relativity Networks raises $22 million to bring a faster kind of fiber to data centers(opens in a new tab)

AI reputation worsens. Pew found 52% of Americans more concerned than excited about AI, and local data center deals are facing public pushback.

• AI was supposed to win people over by now — it hasn’t(opens in a new tab)

OpenAI private safety processing. OpenAI previewed Private Safety Processing for zero-data-retention customers, enabling abuse detection across interactions without exposing content to personnel; it contrasts with Anthropic's 30-day retention policy.

• Offering Zero Data Retention for frontier models(opens in a new tab)
• OpenAI seeks to one-up Anthropic with new customer privacy protections(opens in a new tab)

OpenAI fixes Codex and TAC. OpenAI shipped safeguards after Codex deleted real user files through faulty cleanup commands, and confirmed a separate error briefly revoked access to its Trusted Access for Cyber program.

• OpenAI fixes Codex bug that deleted real user files without permission(opens in a new tab)
• Researchers say OpenAI revoked their access to limited cyber program(opens in a new tab)

AI-generated ICS exploits. U.S. agencies warned attackers are using AI to build Siemens S7 exploit scripts, cutting the skill and time needed to attack industrial control systems.

• Attackers are using AI to build exploits for industrial control systems, U.S. agencies warn(opens in a new tab)

AI labs internal controls. Guidelight's first assessment found no AI company fully applies basic internal controls; Anthropic and OpenAI lead with C+, while xAI and Meta score D- and F.

• AI labs are failing to keep their own systems in check(opens in a new tab)

Meta deepfake ads. Meta ran ads for an AI nudification app targeting female politicians despite policies banning sexual material.

• Meta ran ads for an app promising to nudify female politicians(opens in a new tab)

Spirit employee data sale. Google won an auction for Spirit Airlines employment data; former flight attendants object that worker confidentiality may not be protected from re-identification.

• Flight attendants freaked out that Google is buying tons of Spirit employee data(opens in a new tab)

OpenAI slows development. OpenAI paused some RL training and delayed frontier runs while tightening safeguards, testing whether a voluntary slowdown can work without industry-wide adoption.

• OpenAI hit the brakes. Now what?(opens in a new tab)

Claude protein design. Anthropic's Claude models designed minibinders across 15 targets with a 26.8% hit rate, beating typical early drug-discovery results, though independent review is pending.

• Anthropic says any lab can now let a language model agent run the whole protein design stack(opens in a new tab)

Vivodyne tissue data. Vivodyne's robotic HIVE labs grow 20 human tissue types and generate causal biological data to address what it sees as AI drug discovery's missing data problem.

• AI isn’t close to curing cancer. This startup says it knows what it will take.(opens in a new tab)

Reasoning tokens myth. Research challenges the idea that LLM intermediate tokens are semantically meaningful reasoning; models often produce invalid traces even with correct answers, and corrupted-trace training can still work.

• Stop Anthropomorphisizing Intermediate Tokens: Qwen3.8 doesn't "overthink"(opens in a new tab)

Coding productivity metric. Simon Willison argues lines of debugged production code remain a meaningful productivity metric with coding agents, but reaching that output still takes senior engineering skill.

• Conceptual integrity and counting lines of code(opens in a new tab)