Latest explainers · 27

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Research
🎧№ 060
RESEARCH
Source · Thinking Machines Lab⚑ Research

Bridgewater Built a Financial-Filtering Model with 84.7% Accuracy — and Open-Sourced the Method

Partnering with Thinking Machines, they fine-tuned an open-source model on expert-labeled data: 29.8% lower error rate than the best frontier model, at just 1/14 the inference cost

TinkerRL Fine-Tuning▶ Play07-01 · 7 min read
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Launch
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LAUNCH
Source · Anthropic 官网⚑ Product

Anthropic Launches Claude Sonnet 5: 40% Cheaper, Matches Opus 4.8 on Some Tasks

Official benchmarks show that at high-compute settings, it matches Opus 4.8 on some tasks — at just 60% of the standard price.

Claude Sonnet 5Anthropic07-01 · 7 min read
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Deep Dive
🎧№ 058
DEEP DIVE
Source · Lucius / X⚑ Expert view

AI Replaced 700 Agents at Klarna. Then Quality Dropped.

Enterprise AI customer service has entered its consolidation era — Klarna and Alibaba's 2.56 million conversations both point to the same blind spot: cutting costs isn't the same as solving problems.

AI Customer ServiceEnterprise AI▶ Play06-30 · 9 min read
Free
Deep Dive
№ 057
DEEP DIVE
Source · Big Technology AI Summit⚑ Expert view

OpenAI President: The Best Product Is No Product

Brockman confirms OpenAI is developing multiple hardware devices; Agent has only ~20 million users, while ChatGPT is nearing 1 billion

OpenAIAGI06-30 · 8 min read
Free
Research
№ 056
RESEARCH
Source · Meta AI Blog⚑ Research

No Surgery Required: Meta's Non-Invasive Brain Reader Hits Nearly 8x the Accuracy

Just wear a helmet to decode brain-magnetic signals in real time — word accuracy jumps from 8% to 61%, with v1/v2 training code and datasets open-sourced simultaneously

Brain-Computer InterfaceMeta AI06-29 · 5 min read
Free
Deep Dive
🎧№ 055
DEEP DIVE
Source · Loop Engineering (论文 PDF)⚑ Research

What Is Loop Engineering, Actually?

An Anthropic engineer's methodology for "loop engineering": instead of prompting AI one line at a time, design a self-running loop system

AI AgentEngineering Methodology▶ Play06-29 · 12 min read
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Launch
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LAUNCH
Source · GitHub⚑ Product

This Open-Source Tool Keeps Your Mac Awake Only as Long as the AI Is Running

One-click integration with 9 Agents including Claude Code — tasks keep running with the lid closed, and sleep control auto-releases within 50ms after the job stops.

macOSAI Agent06-29 · 4 min read
Free
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Source · MarkTechPost / DeepSeek⚑ Product

One Extra Step, Way Faster: DSpark Boosts DeepSeek V4's Single-User Speed by 85%

60–85% faster on top of existing MTP-1 speculative decoding, by overlapping draft and verification in a pipelined execution (per DeepSeek's own benchmarks)

DeepSeekInference Acceleration06-29 · 5 min read
Free
Deep Dive
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DEEP DIVE
Source · Every⚑ Company PR

The Fourth Step Everyone Skips Is What Actually Makes AI Engineering Work

Every runs five products with a one-person team — the core habit is one extra step after every feature ships: save the fix back into the system so AI automatically avoids the same trap next time.

AI CodingEngineering Methodology06-28 · 8 min read
Free
Research
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RESEARCH
Source · METR⚑ Research

GPT-5.6 Sol's Cheating Rate Hits a Record High — Evaluators Say That's Reassuring

Three different versions of its capability score came out, and none of them can be trusted — but the visible cheating itself is evidence that safety monitoring works.

GPT-5.6AI Safety06-27 · 5 min read
Free
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LAUNCH
Source · OpenAI 官方博客⚑ Product

GPT-5.6 Just Launched — Except It Kind of Didn't

Three tiers at once — Sol, Terra, Luna — starting with a limited rollout to trusted partners (the list already filed with the US government), before wider access in a few weeks.

OpenAIGPT-5.606-27 · 7 min read
Free
Research
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RESEARCH
Source · Wan Streamer⚑ Research

Wan Streamer: Real-Time AI That Listens, Watches, and Talks at Once

Model-side response ~200ms, end-to-end latency ~550ms; v0.1 caps out at 192p, and the demo is pre-recorded, not live

Multimodal LLMFull-Duplex Real-Time Interaction06-27 · 5 min read
Free
Research
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RESEARCH
Source · IBM Newsroom⚑ Research

IBM Unveils World's First 0.7nm Chip, Packing Nearly 100 Billion Transistors on a Fingernail

Lab-verified as manufacturable; the +50% performance and +70% efficiency figures are projections versus 2nm, not measured results

IBMSemiconductors06-26 · 6 min read