Anthropic / Claude

Paul Bakaus presented Impeccable at the AI Engineer World’s Fair, an open-source design skill system for coding agents. Instead of one-shot full-site redesigns, users steer output with terms like 'bolder' or 'quieter' that the skill translates into precise design actions. Bakaus calls this 'skill engineering'—compressing expert vocabulary so agents don't converge on generic results. He noted designers now make up at least half of Impeccable's audience, using it as a bridge into code. He rejects full auto mode, arguing the goal is to insert human judgment at the exact point it matters most.

Anthropic re-released Fable 5 for paid users with stronger guardrails, available in subscriptions only through July 7 and capped at 50% of usage limits. Scale's benchmark shows it completes 16% of remote work tasks, double Opus 4.8. Claude Sonnet 5 also launched—benchmarked close to Opus 4.8 on agent tasks, cheaper per token but roughly the same cost per task in practice; the author finds it expensive and slow. Google dropped two new models: Nano Banana 2 Lite for fast, cheap images and Omni Flash for video generation and editing. Bridgewater and Thinking Machines trained a financial triage model hitting 84.7% accuracy at 13.8x lower cost than the best frontier model tested.

The Remote Labor Index tests AI agents on 240 real freelance projects worth $144,000. Fable 5 reached a 16.1% automation rate, nearly double Opus 4.8's 8.3% and well ahead of GPT-5.5's 6.3%. Eight months ago the top score was 2.5%. 22 of Fable 5's projects couldn't be evaluated due to US government access restrictions; even in the worst case its rate would be 14.6%. The study also found AI judges overrate performance badly—GPT-5.5's score was inflated nearly 3x because the AI judge couldn't open professional software to inspect actual deliverables. No model's output passed as finished professional work, but the automation rate has more than quadrupled in under a year.

Day 3 of AIEWF focused on autoresearch. Introspection's Roland Gavrilescu described it as an outer loop where agents maintain the system itself. Anthropic's Thariq Shihipar echoed continuous discovery in his Claude Code keynote, saying models are 'grown, not developed.' Former Google engineering lead Addy Osmani pushed back hard: the outer loop must stay human—inner loop is capability, outer loop is agency. Notion's Geoffrey Litt and Impeccable's Paul Bakaus both argued humans need to understand the code and steer the final 20%. Bakaus stated flatly there will 'never be auto.' Google's Nicole Brichtova added that cultivated expertise sees what average preference misses.

Anthropic's Claude Science desktop app, announced June 30, skips the AI-scientist fantasy and targets the grunt work that eats 80% of researchers' time. It auto-pulls and cleans data from UniProt, PDB, Ensembl, and ChEMBL, then writes SLURM scripts, sets up conda environments, and submits jobs to HPC clusters—retrying on failure. By constraining the model to verifiable execution tasks, it sidesteps hallucination risks. The post does not disclose pricing or a GA date.

Anthropic's Fable 5 was taken offline by US export controls three days after launch, for 18 days. OpenRouter daily token data shows total volume grew from 24T to 32T, but Anthropic's share dropped from 20.7% to 17.6% and its absolute volume shrank. GLM was the biggest winner, jumping from 1.8% to 7.4% share. GLM-5.1 saw a spike on the day GLM-5.2 launched, then collapsed 48 hours later as GLM-5.2 took over. Community sentiment shifted from sympathy for Anthropic to mocking its business strategy. The post notes this only captures API-layer data, not first-party subscriptions, and token volume comparisons overstate GLM's share due to a 10x price gap.

Anthropic launched Claude Sonnet 5 at a promo price of $2/$10 per million tokens, rising to $3/$15 in September, while a new tokenizer adds ~30% more tokens per task—nearly doubling real cost over Sonnet 4.6. The next day Palantir's Karp called token billing “completely wrong,” arguing real value should mean outcome-based pricing. On the buy side, Uber burned its full-year AI coding budget in four months after deploying Claude Code and Cursor to 5,000 engineers, then capped per-engineer spend at $1,500/month. Microsoft cut Claude Code licenses for thousands of engineers on the last day of its fiscal year, routing them back to Copilot. GitHub Copilot's switch from flat-rate to token billing triggered a wave of cancellations as users exhausted quotas in a day or two. Sellers can't stop: OpenAI projects a $14B loss in 2026, Anthropic's monthly compute cost runs $1.25B, and Amazon shifted Anthropic payments from per-hour to per-token, pushing its own teams to distill smaller models. Builders in the middle route only 26% of requests to expensive closed-source models, add prompt caching and semantic caching to cut costs 40%–80%, and lean on open-source models whose programming traffic share has pushed Claude Opus down to 4.7%. Tokens won't disappear—they'll recede to a backend meter while front-office billing shifts to per-task, per-seat, or annual budget models.

Meta warned ~6,000 employees that internal AI token costs are on track to hit billions this year. Employees burned through 73.7 trillion tokens in ~30 days, tracked on an internal leaderboard called 'Claudeonomics.' CTO Andrew Bosworth said token volume isn't a measure of impact. Meta is scrapping the leaderboard, rolling out an 'AI Gateway' monitoring dashboard, and will enforce formal token budgets starting in 2027. The company is also steering staff from Anthropic Claude toward its own MetaCode assistant. Uber faced a similar problem—it blew through its 2026 AI coding budget in four months and now caps spending at $1,500 per person per month.

Meta is building a cloud infrastructure business to sell AI compute and model access, putting it in direct competition with AWS, Google Cloud, and Microsoft Azure. The move comes weeks after SpaceX leased its Colossus 1 data center capacity to Anthropic. The pattern suggests data center owners, not model builders, may end up winning the AI race.

Anthropic announced Claude Science at an event for pharma execs and biotech founders. It works like Claude Code but for research, autonomously handling computational biology and drug development tasks from short instructions. Anthropic will also use it in-house for rare disease drug research. Separately, the US lifted restrictions on Anthropic's Mythos and Fable models, restoring access today. Another piece digs into California's subsidies for turning cattle manure methane into natural gas—research suggests the carbon offset math is flawed and could lock in more warming.

A Reddit reverse-engineering post reveals Claude Code since v2.1.91 silently classifies China-based users via timezone checks and encodes the result into Unicode apostrophe variants in the system prompt. Multiple group members were banned the same day; a reseller said Anthropic targeted Alibaba-related accounts. Meanwhile, the US Commerce Department fully lifted export controls on Fable 5 and Mythos 5. Ford became the top US recall leader after replacing engineers with AI. Sonnet 5 launched at $2/$10 per million tokens but uses a new tokenizer that inflates token counts. WeChat's built-in AI assistant 'XiaoWei' began grayscale rollout, raising privacy concerns as others can invoke it in private chats without consent.

US export controls on Claude Fable 5 and Mythos 5, imposed June 12, were lifted June 30. Fable 5 returns globally July 1. The controls followed an Amazon researcher's report showing a jailbreak that let Fable 5 identify and demonstrate a software vulnerability exploit. Anthropic confirmed older models including GPT-5.5 and Kimi K2.7 could do the same—no unique Mythos-level capability was exposed. A new safety classifier now blocks the reported technique in over 99% of cases, though false positives on routine coding requests will increase. Anthropic is also working with Amazon, Microsoft, and Google on a shared industry framework for assessing jailbreak severity, and deepening pre-release testing collaboration with the US government.

Anthropic released Claude Sonnet 5 today, calling it the most agentic Sonnet yet with planning, browser/terminal tool use, and a 1M-token context window. Pricing stays at $3/$15 per million tokens, with a promo rate of $2/$10 through late August. The community reaction was muted: benchmarks show it consumed more tokens than Fable, and one test found it cost more than Opus 4.8. The post confirms Fable/Mythos 5 were approved for re-release after government work, but gives no timeline.

The NYT argues China may have an edge in managing AI’s social fallout. After Wuhan taxi drivers protested driverless cabs, Beijing quickly suppressed the outcry but also accelerated policy—its five-year plan now pledges to cushion AI’s job impact. Scholars are developing ‘AI Marxism’ to debate who creates value when machines do the work. The most concrete signal: a Hangzhou court ruled in April that firing an employee after replacing them with AI software is illegal, stating technology should ‘liberate labor.’ The piece contrasts China’s state-driven, job-preserving approach with a US model that lets companies pursue superintelligence largely unchecked. The post does not disclose specific unemployment figures or a timeline for the proposed ‘AI unemployment insurance.’

The US lifted a license requirement for exporting Anthropic's Mythos and Fable models, widely seen as the most advanced AI released so far. Anthropic said public access resumes July 1. The models were added to the export control list on June 12, making compliance impractical at scale and forcing Anthropic to cut off all public access. Commerce Secretary Lutnick said Anthropic agreed to proactively detect security risks, work with the US government on release standards, and report malicious activity. Anthropic had already publicly pledged to do most of this months earlier, which is partly why security experts were skeptical of the restrictions.

Community reverse engineering found Claude Code reads the local timezone and ANTHROPIC_BASE_URL env var, then checks against an encrypted list of 147 Chinese company domains—Meituan, ByteDance, Moonshot AI included. On match, it tweaks date formatting in the system prompt by 2–3 bits of steganography and sends the marker back to Anthropic's servers. The post doesn't say whether Anthropic has responded, but this directly undermines developer trust.

A security researcher reverse-engineered Claude Code 2.1.196 and found it embeds environment classification into the system prompt date string using visually similar Unicode characters. The trigger is a custom ANTHROPIC_BASE_URL combined with China timezone or matching 147 known domains and 11 lab keywords including deepseek, moonshot, and zhipu. Separately, GitHub issue #62061 revealed a mechanism for the client to pull extra system prompts from Anthropic's server. Together these show a privileged agent's instruction layer can change without enterprise visibility. The article argues against banning Claude Code and instead recommends treating it as a privileged dev runtime: disable bypass, sandbox execution, build audit surfaces, separate control planes, and maintain model and client fallbacks.

The US Department of Commerce lifted export controls on Claude Fable 5 and Mythos 5. Anthropic will begin restoring access tomorrow. The post doesn't spell out why the controls were imposed, the exact restoration timeline, or model capability details.

Anthropic tweeted that the US Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5. The post body is just a link to the tweet—no details on which specific controls were removed, when this takes effect, or why these two models were restricted in the first place. All we can confirm right now is what the title says; the rest needs an official follow-up.

Anthropic launched Claude Science, positioning it alongside Claude Code as a flagship product. It writes code, runs experiments on compute clusters, and prioritizes reproducibility—aimed at computational biology and drug discovery. A live demo showed it identifying drug candidates for phenylketonuria. Anthropic will also use it for in-house rare-disease research. Harvard physicist Matthew Schwartz previously rated Opus 4.5's research ability at the level of a second-year grad student; Claude Science productizes that capability.