Both versions roll out today, outperforming the previous Advanced Voice Mode across the board in benchmarks.
Adds click-to-select point editing and native rendering in 10+ languages, now live on Volcano Engine, rolling out next to Doubao and Jimeng
Paper benchmarks show a 10.8% boost in personalization and 29.4% in reasoning — fully open-sourced under Apache 2.0
In advisor mode, Fable 5 just offers suggestions; in orchestrator mode, it delegates tasks — either way, the cheaper Sonnet 5 ends up doing most of the actual work
By fine-tuning just a single token at the loop's starting point, both models' infinite-loop rates drop to around 1%
Sibling model Muse Video was previewed alongside it, now with native audio generation and coming soon to creators.
Expanding from charging only AI crawlers to billing any caller — now in early access
When calling a tool, the model now says "let me check that" first — so calls no longer go silent while waiting.
50 autonomous agents worked in parallel, covering 27 provincial departments and 3,400 code repositories, and could even auto-patch vulnerabilities and rewrite legacy systems.
One line of Wrangler config plus standard HTTP cache headers, with caching now embeddable between any internal entry points in a Worker.
16 Insiders Tell the Story: From Grinding Over Diffs to a Two-Week Sprint Launch — to Engineers Writing Zero Code by Hand
Claude Code team's Thariq Shihipar at a conference talk: the bottleneck for new models is no longer the model itself, but whether you can articulate your own unknowns
It's less than 10% of the network, but remove it and Claude can still talk while losing all reasoning — Anthropic already uses it to catch models fabricating data and spot when they sense a test.
A 151-student Dartmouth study: short-answer questions move scores more than multiple choice, yet almost no one uses the AI help sidebar
No funding, no team — just a father solving his own son's problem. Then clinics and schools started asking to use it.
The live vote couldn't be tallied because the lights were too bright; a concurrent survey found 95% of teams already use agents, while 59% worry technical debt is piling up.
While traditional schools are still figuring out how to use AI, Silicon Valley and Wall Street families are already voting with their wallets
US developer employment for ages 22-25 has dropped 19% in three years, even as new GitHub accounts grow at their fastest pace ever
The first paper to run an entire RTL benchmark suite unattended end-to-end — most problems clear in two or three rounds, but the hardest one takes 82 iterations
Analysis of 235K users over 7 months: experts verify success nearly 2x more often than novices, yet the top 10 professions differ by only 7 points
Create psychological tension first, then offer a first step too small to refuse — a formula that works for writing, selling, and job hunting alike.
The US's June 12 export controls put frontier AI models themselves—not just chips—under restriction for the first time. His answer: master multi-model orchestration.
Anthropic's Thariq argues that when working with Claude Fable 5, output quality hinges on how clearly you can articulate your own "unknowns." This field guide offers 8 techniques for surfacing them — before, during, and after implementation — each paired with a ready-to-use prompt.
Investor Chamath Palihapitiya: intelligence is getting cheap like phones, and expert judgment is now available to everyone; the real moat is encoding your own proprietary experience into your system, not renting the same generic AI as your competitors
Customer data won't be used to train models that would erode a client's competitive edge, and the platform lets companies switch freely between AI models — no vendor lock-in
She used the same pattern to build an email triage tool and a caregiving app for her dad — the method is repeatable, though the full prompts stay private.
Four implementation principles, backed by real-world data from L'Oréal, Lyft, and Rakuten
Multi-agent systems can boost performance by 90.2% — but at 10-15x the token cost. This three-question framework helps you decide if the complexity is worth it.
MIT-licensed and model-agnostic, it works with any OpenAI-compatible text model — though for now it can only operate on a single page view.
In the live demo, searching "camping" turned a coffee-machine site's copy and products fully outdoor-themed — the tech works, but no client site has shipped it at scale yet.
An instructor who has trained 30,000+ PMs breaks down two AI leverage ladders — from copy-paste to end-to-end delivery, and from web prototypes to production PRs.
The advisor model only chips in a few hundred words of guidance instead of taking over the whole task, cutting total cost at the same quality bar — currently a beta feature limited to the Claude API and AWS
Anthropic's official documentation shows how to tune system prompts and engineering scaffolding for the new model — the same methods also work for Claude Mythos 5
From manual confirmation to fully unattended — the Claude Code team's 4-tier loop taxonomy and practical playbook
Titanium build, $289 preorder, shipping around Christmas 2026 — follows the company's first-gen touch-only ring.
Trained on more than 50,000 domestic AI chips over 35 trillion tokens; most benchmark scores come from Meituan's own evaluation framework, and the weights aren't actually open for download yet
Now in open beta. A coordinator agent marshals a team of specialist agents to do the work, capped off by a reviewer agent that hunts specifically for citation and numerical errors — compute gets outsourced to AI, but raw data never leaves your machine.
Images generated in just 4 seconds at about $0.034 per 1,000; the Omni Flash video model opens to developers the same day.
With Thinking Machines, 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
Official benchmarks show that at high compute, Sonnet 5 matches Opus 4.8 on select tasks — at just 60% of its standard price.
Enterprise AI customer service has entered a consolidation phase. Klarna and Alibaba's 2.56 million conversation datasets both point to the same blind spot: cutting costs isn't the same as solving problems.
Brockman confirms OpenAI has multiple hardware devices in development; only ~20M users use Agents, yet ChatGPT is closing in on 1 billion
A wearable helmet decodes magnetoencephalography signals in real time, pushing word accuracy from 8% to 61%; v1/v2 training code and datasets released open source
An Anthropic engineer's methodology explained: instead of prompting AI line by line, you design a self-running loop system
One-click integration with Claude Code and 8 other agents; keeps tasks running with the lid closed and releases sleep control within 50ms of going idle
60–85% faster on top of existing MTP-1 speculative decoding, achieved by overlapping draft and verification pipelines (numbers per DeepSeek's own benchmarks)
Solo operators running 5 products swear by one habit: after every feature ships, log the solution back into the system so AI avoids the same pitfall next time
Three conflicting capability numbers, none reliable — but the visible cheating itself serves as evidence that safety monitoring is working
Three tiers at once (Sol/Terra/Luna), limited rollout to trusted partners with names filed with the U.S. government, broader access in a few weeks
Model latency ~200ms, end-to-end ~550ms; v0.1 at 192p, demo is pre-recorded not live
Lab-verified as manufacturable; the +50% performance and +70% energy efficiency figures are projected gains over 2nm, not measured results