Keepa vs CamelCamelCamel for price-tracking on review sites
If your reviews show "current price," you need a feed. These are the two Amazon-focused options people reach for.
Keepa
Pros:
— Proper paid API with historical price arrays, not just current
— Deep data: buy-box, sales-rank history, variation tracking
Cons:
— Subscription priced per data unit, costs scale fast at volume
— Steep learning curve on the response format
CamelCamelCamel
Pros:
— Friendly for manual lookups and price-drop alerts
Cons:
— No real public API for programmatic bulk pulls
— Not built to power live prices across hundreds of pages
Gotcha nobody mentions: Amazon's own Product Advertising API is the only "officially blessed" price source, and it gates access behind sales thresholds. Third-party scrapers risk your associate account if you display data against their terms.
My pick: Keepa when you need historical price charts and can budget the API. PA-API if you qualify and want to stay strictly compliant.
Bottom line: for live prices at scale, Keepa; for compliance safety, Amazon's own API.
If your reviews show "current price," you need a feed. These are the two Amazon-focused options people reach for.
Keepa
Pros:
— Proper paid API with historical price arrays, not just current
— Deep data: buy-box, sales-rank history, variation tracking
Cons:
— Subscription priced per data unit, costs scale fast at volume
— Steep learning curve on the response format
CamelCamelCamel
Pros:
— Friendly for manual lookups and price-drop alerts
Cons:
— No real public API for programmatic bulk pulls
— Not built to power live prices across hundreds of pages
Gotcha nobody mentions: Amazon's own Product Advertising API is the only "officially blessed" price source, and it gates access behind sales thresholds. Third-party scrapers risk your associate account if you display data against their terms.
My pick: Keepa when you need historical price charts and can budget the API. PA-API if you qualify and want to stay strictly compliant.
Bottom line: for live prices at scale, Keepa; for compliance safety, Amazon's own API.
Frase vs Surfer for building review content briefs
Both promise a brief that ranks. For review articles specifically they behave differently.
Frase
Pros:
— Fast SERP question mining, great for the "is X worth it / X vs Y" sub-headings reviews live on
— Cheaper entry tier
Cons:
— Term suggestions skew thin for niche product names
— Score-chasing tempts you into keyword stuffing a spec section
Surfer
Pros:
— Tighter term/word-count targets, strong for long head-to-head guides
Cons:
— Pricier, and the content score becomes a vanity metric
— Pushes density that reads robotic in a pros/cons block
Gotcha nobody mentions: neither tool knows the product. They optimize against ranking pages, which for new gear may be other thin reviews. Optimize toward a bad corpus, write a bad review.
My pick: Frase for high-volume "X vs Y" briefs on a budget. Surfer for pillar buying guides where depth wins.
Bottom line: use the score as a checklist, never as the goal.
Both promise a brief that ranks. For review articles specifically they behave differently.
Frase
Pros:
— Fast SERP question mining, great for the "is X worth it / X vs Y" sub-headings reviews live on
— Cheaper entry tier
Cons:
— Term suggestions skew thin for niche product names
— Score-chasing tempts you into keyword stuffing a spec section
Surfer
Pros:
— Tighter term/word-count targets, strong for long head-to-head guides
Cons:
— Pricier, and the content score becomes a vanity metric
— Pushes density that reads robotic in a pros/cons block
Gotcha nobody mentions: neither tool knows the product. They optimize against ranking pages, which for new gear may be other thin reviews. Optimize toward a bad corpus, write a bad review.
My pick: Frase for high-volume "X vs Y" briefs on a budget. Surfer for pillar buying guides where depth wins.
Bottom line: use the score as a checklist, never as the goal.
REHub vs custom-built: review-site themes that don't trap you
Verdict score: 7/10 for REHub, with an asterisk.
REHub is the default "do everything" affiliate/review theme. It's powerful and it's a commitment.
What it nails:
— Built-in comparison tables, price grids, user-review modules, all themed together
— Aggregator and "best deals" layouts out of the box
Where it bites:
— Shortcode lock-in: your comparison tables are stored as REHub shortcodes, so migrating off means rebuilding every table
— Heavy on options; the admin is a maze, and bloat hurts page speed without aggressive trimming
Who it's FOR: solo operators who want a turnkey review machine and will stay put for years.
Who it's NOT for: anyone who values portable content or runs Core Web Vitals tight.
Gotcha nobody mentions: the price/comparison data lives in theme shortcodes, not portable blocks. Your content is married to the theme.
Bottom line: great velocity now, real lock-in later. Go in with eyes open.
Verdict score: 7/10 for REHub, with an asterisk.
REHub is the default "do everything" affiliate/review theme. It's powerful and it's a commitment.
What it nails:
— Built-in comparison tables, price grids, user-review modules, all themed together
— Aggregator and "best deals" layouts out of the box
Where it bites:
— Shortcode lock-in: your comparison tables are stored as REHub shortcodes, so migrating off means rebuilding every table
— Heavy on options; the admin is a maze, and bloat hurts page speed without aggressive trimming
Who it's FOR: solo operators who want a turnkey review machine and will stay put for years.
Who it's NOT for: anyone who values portable content or runs Core Web Vitals tight.
Gotcha nobody mentions: the price/comparison data lives in theme shortcodes, not portable blocks. Your content is married to the theme.
Bottom line: great velocity now, real lock-in later. Go in with eyes open.
Server-side vs client-side A/B testing for affiliate CTAs
Testing button copy or table layout on a review page? The where matters more than the which-tool.
Client-side (most visual editors)
Pros:
— Point-and-click variant builder, no dev needed
Cons:
— The flicker: original paints, then the variant swaps, visibly
— That flash tanks layout stability and can spook the click you're testing
Server-side / edge testing
Pros:
— No flicker, variant arrives pre-rendered, friendlier to page speed
Cons:
— Needs dev work or edge-worker setup
— Slower to spin up a quick test
Who should go client-side: low-traffic sites running occasional copy tests.
Who should go server-side: high-traffic money pages where the flicker itself biases results.
Gotcha nobody mentions: affiliate conversions happen off-site, so you can't measure final sale, only click-through. Optimize for qualified clicks, not vanity CTR, or you'll "win" tests that send junk traffic.
Bottom line: on your top earners, kill the flicker first; everything else is secondary.
Testing button copy or table layout on a review page? The where matters more than the which-tool.
Client-side (most visual editors)
Pros:
— Point-and-click variant builder, no dev needed
Cons:
— The flicker: original paints, then the variant swaps, visibly
— That flash tanks layout stability and can spook the click you're testing
Server-side / edge testing
Pros:
— No flicker, variant arrives pre-rendered, friendlier to page speed
Cons:
— Needs dev work or edge-worker setup
— Slower to spin up a quick test
Who should go client-side: low-traffic sites running occasional copy tests.
Who should go server-side: high-traffic money pages where the flicker itself biases results.
Gotcha nobody mentions: affiliate conversions happen off-site, so you can't measure final sale, only click-through. Optimize for qualified clicks, not vanity CTR, or you'll "win" tests that send junk traffic.
Bottom line: on your top earners, kill the flicker first; everything else is secondary.
Lasso vs AAWP: the affiliate display-box duel
Two tools that turn a product into a pretty box with a button. Different bets.
Lasso
Pros:
— Multi-network: Amazon, ShareASale, anything, all in one link manager
— Link health monitoring flags dead/out-of-stock products
Cons:
— Higher monthly cost, and it's subscription-only
— Heavier footprint than a single-network plugin
AAWP
Pros:
— Laser-focused on Amazon, pulls live prices and Prime badges cleanly via PA-API
— Cheaper, yearly license
Cons:
— Amazon-only, useless the day you add a second network
— Fully dependent on PA-API access, lose that and boxes go blank
Gotcha nobody mentions: AAWP's live prices require active PA-API credentials tied to sales thresholds. New sites get throttled and show stale or empty prices, the exact opposite of the selling point.
My pick: AAWP for an established Amazon-only site that qualifies for PA-API. Lasso the moment you diversify networks.
Bottom line: single-network now and approved? AAWP. Multi-network future? Lasso.
Two tools that turn a product into a pretty box with a button. Different bets.
Lasso
Pros:
— Multi-network: Amazon, ShareASale, anything, all in one link manager
— Link health monitoring flags dead/out-of-stock products
Cons:
— Higher monthly cost, and it's subscription-only
— Heavier footprint than a single-network plugin
AAWP
Pros:
— Laser-focused on Amazon, pulls live prices and Prime badges cleanly via PA-API
— Cheaper, yearly license
Cons:
— Amazon-only, useless the day you add a second network
— Fully dependent on PA-API access, lose that and boxes go blank
Gotcha nobody mentions: AAWP's live prices require active PA-API credentials tied to sales thresholds. New sites get throttled and show stale or empty prices, the exact opposite of the selling point.
My pick: AAWP for an established Amazon-only site that qualifies for PA-API. Lasso the moment you diversify networks.
Bottom line: single-network now and approved? AAWP. Multi-network future? Lasso.
Deep dive: why your review schema disappeared (it's not a bug)
Verdict: 9/10 important, 2/10 understood.
The single most common review-schema failure has nothing to do with your plugin. It's the self-serving rule.
The rule:
— Google won't show review rich results when the review is about the entity that owns the page
— Review a third-party product? Eligible. Review your own service/product? Filtered
Who keeps tripping it:
— SaaS sites adding AggregateRating to their own homepage
— Brands marking up testimonials about themselves
Who's fine:
— Editorial review sites rating other companies' products
Gotcha nobody mentions: LocalBusiness and a few types have carve-outs, so people "prove" it works in one spot and assume it works everywhere. It doesn't generalize.
Fix path: if it's first-party, stop marking it up as Review, you're spending effort for a snippet you'll never get. Move that energy to genuinely third-party comparisons.
Bottom line: check WHO the review is about before you blame the tool.
Verdict: 9/10 important, 2/10 understood.
The single most common review-schema failure has nothing to do with your plugin. It's the self-serving rule.
The rule:
— Google won't show review rich results when the review is about the entity that owns the page
— Review a third-party product? Eligible. Review your own service/product? Filtered
Who keeps tripping it:
— SaaS sites adding AggregateRating to their own homepage
— Brands marking up testimonials about themselves
Who's fine:
— Editorial review sites rating other companies' products
Gotcha nobody mentions: LocalBusiness and a few types have carve-outs, so people "prove" it works in one spot and assume it works everywhere. It doesn't generalize.
Fix path: if it's first-party, stop marking it up as Review, you're spending effort for a snippet you'll never get. Move that energy to genuinely third-party comparisons.
Bottom line: check WHO the review is about before you blame the tool.
Geniuslink vs Skimlinks: link localization vs auto-monetization
Different problems, often confused.
Geniuslink
Pros:
— Sends each visitor to their local Amazon storefront, recovering lost international clicks
— Granular routing rules by country/device
Cons:
— You still set up every affiliate program yourself, it routes, it doesn't recruit
— Per-click pricing adds up at scale
Skimlinks
Pros:
— Auto-converts plain merchant links into affiliate links across thousands of programs
— Set-and-forget for big editorial libraries
Cons:
— Takes a revenue cut, and you cede control of which programs
— Lower per-sale payout than direct relationships
Gotcha nobody mentions: Geniuslink localization can quietly break your tracking sub-IDs if you don't pass parameters through, so your "which post earned this" reporting goes dark.
My pick: Geniuslink for a focused Amazon site with global traffic. Skimlinks for huge content archives you'll never link-manage by hand.
Bottom line: Geniuslink fixes geography; Skimlinks trades control for coverage.
Different problems, often confused.
Geniuslink
Pros:
— Sends each visitor to their local Amazon storefront, recovering lost international clicks
— Granular routing rules by country/device
Cons:
— You still set up every affiliate program yourself, it routes, it doesn't recruit
— Per-click pricing adds up at scale
Skimlinks
Pros:
— Auto-converts plain merchant links into affiliate links across thousands of programs
— Set-and-forget for big editorial libraries
Cons:
— Takes a revenue cut, and you cede control of which programs
— Lower per-sale payout than direct relationships
Gotcha nobody mentions: Geniuslink localization can quietly break your tracking sub-IDs if you don't pass parameters through, so your "which post earned this" reporting goes dark.
My pick: Geniuslink for a focused Amazon site with global traffic. Skimlinks for huge content archives you'll never link-manage by hand.
Bottom line: Geniuslink fixes geography; Skimlinks trades control for coverage.
The mobile-stacking test every comparison-table tool fails differently
Forget feature lists. Resize any comparison-table plugin to 375px wide and watch what happens. That single test ranks them faster than any review.
Three failure modes I see:
— Horizontal scroll: table stays wide, user swipes sideways, columns vanish off-screen. Worst for conversions
— Naive collapse: it stacks but loses the header context, so "Yes / No" cells float with no labels
— Card transform: each product becomes a labeled card. The only good answer
Who needs card-transform most:
— Anyone with 60%+ mobile traffic and a 5-plus column spec table
Who can ignore it:
— Two-column "this vs that" tables that fit anyway
Gotcha nobody mentions: card-transform layouts often break your structured-data table semantics, because the markup gets re-flowed by JS. Test rich results separately from the visual.
My pick: tools that re-render to a labeled card per product, not ones that merely shrink fonts.
Bottom line: if it horizontal-scrolls on mobile, it's costing you clicks, period.
Forget feature lists. Resize any comparison-table plugin to 375px wide and watch what happens. That single test ranks them faster than any review.
Three failure modes I see:
— Horizontal scroll: table stays wide, user swipes sideways, columns vanish off-screen. Worst for conversions
— Naive collapse: it stacks but loses the header context, so "Yes / No" cells float with no labels
— Card transform: each product becomes a labeled card. The only good answer
Who needs card-transform most:
— Anyone with 60%+ mobile traffic and a 5-plus column spec table
Who can ignore it:
— Two-column "this vs that" tables that fit anyway
Gotcha nobody mentions: card-transform layouts often break your structured-data table semantics, because the markup gets re-flowed by JS. Test rich results separately from the visual.
My pick: tools that re-render to a labeled card per product, not ones that merely shrink fonts.
Bottom line: if it horizontal-scrolls on mobile, it's costing you clicks, period.
Why generic content-brief tools write weak review briefs
Verdict score: 5/10 for general brief tools on review intent specifically.
Most brief generators (Frase, Clearscope, MarketMuse) optimize for informational articles. Reviews are commercial-investigation intent, a different beast.
What they get right:
— Surfacing the questions buyers ask (battery life, refund policy, alternatives)
— Mapping competitor headings
What they miss for reviews:
— No prompt for first-hand testing evidence, the exact signal that separates a real review from rehashed specs
— They reward term coverage, so you pad the spec section instead of the hands-on section that actually converts and earns trust
Who still benefits:
— Teams who treat the brief as a skeleton and add a mandatory "what we actually tested" block
Gotcha nobody mentions: optimizing a review against the current SERP often optimizes you toward other people's spec-regurgitation, the very thing that gets outranked once a genuinely-tested page appears.
Bottom line: use the tool for structure, bolt on an experience section it can't generate.
Verdict score: 5/10 for general brief tools on review intent specifically.
Most brief generators (Frase, Clearscope, MarketMuse) optimize for informational articles. Reviews are commercial-investigation intent, a different beast.
What they get right:
— Surfacing the questions buyers ask (battery life, refund policy, alternatives)
— Mapping competitor headings
What they miss for reviews:
— No prompt for first-hand testing evidence, the exact signal that separates a real review from rehashed specs
— They reward term coverage, so you pad the spec section instead of the hands-on section that actually converts and earns trust
Who still benefits:
— Teams who treat the brief as a skeleton and add a mandatory "what we actually tested" block
Gotcha nobody mentions: optimizing a review against the current SERP often optimizes you toward other people's spec-regurgitation, the very thing that gets outranked once a genuinely-tested page appears.
Bottom line: use the tool for structure, bolt on an experience section it can't generate.
Worth your feed
@InboxLoot. The best of email-affiliate marketing, curated. Top swipe ideas, deliverability… We read it, you probably should too.
@InboxLoot. The best of email-affiliate marketing, curated. Top swipe ideas, deliverability… We read it, you probably should too.
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🧠 Блог про арбитраж и ИИ — как нейросети меняют залив и антифрод
🚨 База спамеров — ежедневно собираем спамеров и ведём рейтинг
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Алиса AI будет конкурировать с Google AI Studio
Яндекс разворачивает экосистему AI-агентов на базе Алисы с доступом сначала для компаний, затем для всех. Агенты уже работают в Яндекс Такси и Лавке, скоро появятся в браузере и студии разработки. Платформа интегрирует стандартные функции — заказ такси, покупки, анализ данных. Алиса AI показывает неплохие результаты: менее известна, чем конкуренты, поэтому предлагает щедрые лимиты на видеогенерацию и работу с контентом. Яндекс планирует внедрить…
➡️ Читайте на сайте: https://aff.top/blog/alisa-ai-budet-konkurirovat-s-google-ai-studio
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Яндекс разворачивает экосистему AI-агентов на базе Алисы с доступом сначала для компаний, затем для всех. Агенты уже работают в Яндекс Такси и Лавке, скоро появятся в браузере и студии разработки. Платформа интегрирует стандартные функции — заказ такси, покупки, анализ данных. Алиса AI показывает неплохие результаты: менее известна, чем конкуренты, поэтому предлагает щедрые лимиты на видеогенерацию и работу с контентом. Яндекс планирует внедрить…
➡️ Читайте на сайте: https://aff.top/blog/alisa-ai-budet-konkurirovat-s-google-ai-studio
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В Zennoposter добавили ИИ-помощник
Zennolab добавил в Zennoposter встроенный ИИ-кубик с доступом к четырём моделям (Gemini, DeepSeek, Claude, ChatGPT) — 50 бесплатных запросов в сутки. Есть режимы Assistant (чтение) и Agent (автоматическое создание скриптов), плюс новый GET-запрос по API. Нейросети хорошо справляются с регистрацией, постингом, фармингом аккаунтов и простым кодированием, но требуют проверки при парсинге динамических сайтов и диагностике ошибок. В связке с Zennoobr…
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Zennolab добавил в Zennoposter встроенный ИИ-кубик с доступом к четырём моделям (Gemini, DeepSeek, Claude, ChatGPT) — 50 бесплатных запросов в сутки. Есть режимы Assistant (чтение) и Agent (автоматическое создание скриптов), плюс новый GET-запрос по API. Нейросети хорошо справляются с регистрацией, постингом, фармингом аккаунтов и простым кодированием, но требуют проверки при парсинге динамических сайтов и диагностике ошибок. В связке с Zennoobr…
➡️ Читайте на сайте: https://aff.top/blog/v-zennoposter-dobavili-ii-pomoschnik
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The AggregateRating honesty trap in review tools
Gotcha-first this time, because it's the one that gets sites manual actions.
Many review-schema tools let you type any rating value and review count by hand. That's the trap.
The rule everyone forgets:
— AggregateRating must reflect ratings genuinely collected from users or a real editorial scoring system
— Hard-coding "4.8 from 312 reviews" with no actual reviews behind it is fabricated structured data, a spam-policy violation
Who's at risk:
— Anyone using a plugin's "set rating manually" field to invent social proof
Who's safe:
— Sites with a real user-rating widget or a documented editorial rubric feeding the number
What to demand from any review-schema tool:
— It should pull the aggregate from actual collected ratings, not a free-text box
— Or clearly tie editorialReviewRating to your own reviewer, separate from user AggregateRating
The distinction nobody draws: your reviewer's score is a Review/reviewRating; users' scores are an AggregateRating. Conflating them is both wrong markup and dishonest.
Bottom line: if the tool lets you fake the number freely, that's a liability feature, not a convenience.
Gotcha-first this time, because it's the one that gets sites manual actions.
Many review-schema tools let you type any rating value and review count by hand. That's the trap.
The rule everyone forgets:
— AggregateRating must reflect ratings genuinely collected from users or a real editorial scoring system
— Hard-coding "4.8 from 312 reviews" with no actual reviews behind it is fabricated structured data, a spam-policy violation
Who's at risk:
— Anyone using a plugin's "set rating manually" field to invent social proof
Who's safe:
— Sites with a real user-rating widget or a documented editorial rubric feeding the number
What to demand from any review-schema tool:
— It should pull the aggregate from actual collected ratings, not a free-text box
— Or clearly tie editorialReviewRating to your own reviewer, separate from user AggregateRating
The distinction nobody draws: your reviewer's score is a Review/reviewRating; users' scores are an AggregateRating. Conflating them is both wrong markup and dishonest.
Bottom line: if the tool lets you fake the number freely, that's a liability feature, not a convenience.
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Новую Google reCapcha прошли статичной картинкой
Google выпустил обновленную reCAPTCHA, требующую движений рук для прохождения, но система оказалась уязвима к обходу. Достаточно транслировать статичное изображение с нужным жестом через виртуальную камеру с помощью простого Python-скрипта, чтобы нейросеть пропустила пользователя. Это создает серьёзный риск для сайтов: защита от ботов, позиционировавшаяся как прорыв, на деле не работает. Баг остается актуальным и позволяет спамерам легко автомат…
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Google выпустил обновленную reCAPTCHA, требующую движений рук для прохождения, но система оказалась уязвима к обходу. Достаточно транслировать статичное изображение с нужным жестом через виртуальную камеру с помощью простого Python-скрипта, чтобы нейросеть пропустила пользователя. Это создает серьёзный риск для сайтов: защита от ботов, позиционировавшаяся как прорыв, на деле не работает. Баг остается актуальным и позволяет спамерам легко автомат…
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DeepSeek представит последнюю версию v4
DeepSeek выпустит v4 в середине июля с новой моделью ценообразования API: токены подорожают в 2 раза в часы пиковой нагрузки (09:00–12:00 и 14:00–18:00 по пекинскому времени). Компания планирует уведомлять пользователей по почте за 24 часа до изменения тарифов. Проблема с ошибками «server busy» останется, но обойдётся дороже — это может существенно повлиять на экономику проектов, которые активно используют API DeepSeek для автоматизации и масшта…
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DeepSeek выпустит v4 в середине июля с новой моделью ценообразования API: токены подорожают в 2 раза в часы пиковой нагрузки (09:00–12:00 и 14:00–18:00 по пекинскому времени). Компания планирует уведомлять пользователей по почте за 24 часа до изменения тарифов. Проблема с ошибками «server busy» останется, но обойдётся дороже — это может существенно повлиять на экономику проектов, которые активно используют API DeepSeek для автоматизации и масшта…
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Deep dive: the price-staleness problem no tracking API solves for you
Verdict: 7/10 for the APIs, 3/10 for how people deploy them.
Every price-tracking integration on a review site has the same silent failure: stale prices that erode trust and risk compliance.
The mechanics:
— You cache prices to avoid hammering the API and blowing rate limits
— Cache too long, the page shows a wrong price; too short, you exhaust your quota
Who gets burned:
— Sites with hundreds of products on one cron, all refreshing at once, hitting limits, then serving day-old prices
Who's fine:
— Sites that stagger refreshes and show a "price as of [timestamp]" line
Gotcha nobody mentions: Amazon's terms require you display the price-checked timestamp and not show prices older than a set window. Skip the timestamp and you're technically non-compliant even with the official API.
What to test: kill the API mid-render and see if the page shows a stale number or gracefully hides it.
Bottom line: the API is easy; the cache strategy and timestamp are where sites actually fail.
Verdict: 7/10 for the APIs, 3/10 for how people deploy them.
Every price-tracking integration on a review site has the same silent failure: stale prices that erode trust and risk compliance.
The mechanics:
— You cache prices to avoid hammering the API and blowing rate limits
— Cache too long, the page shows a wrong price; too short, you exhaust your quota
Who gets burned:
— Sites with hundreds of products on one cron, all refreshing at once, hitting limits, then serving day-old prices
Who's fine:
— Sites that stagger refreshes and show a "price as of [timestamp]" line
Gotcha nobody mentions: Amazon's terms require you display the price-checked timestamp and not show prices older than a set window. Skip the timestamp and you're technically non-compliant even with the official API.
What to test: kill the API mid-render and see if the page shows a stale number or gracefully hides it.
Bottom line: the API is easy; the cache strategy and timestamp are where sites actually fail.
Forwarded from AFF.TOP
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Anthropic выпустили Sonnet 5
30 июня вышла Claude Sonnet 5 — новая версия позиционируется как самая агентная в линейке и приближается к флагманской Opus 4.8. Модель лучше справляется со сложными многоуровневыми задачами, устойчива к вредоносным запросам и не генерирует эксплойты. Sonnet 5 доступна на Free-тарифе, но тестирование показало скромные улучшения: хотя работает лучше Sonnet 4.6, её обгоняют конкуренты, включая китайские модели, которые дешевле через API при лучшей…
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30 июня вышла Claude Sonnet 5 — новая версия позиционируется как самая агентная в линейке и приближается к флагманской Opus 4.8. Модель лучше справляется со сложными многоуровневыми задачами, устойчива к вредоносным запросам и не генерирует эксплойты. Sonnet 5 доступна на Free-тарифе, но тестирование показало скромные улучшения: хотя работает лучше Sonnet 4.6, её обгоняют конкуренты, включая китайские модели, которые дешевле через API при лучшей…
➡️ Читайте на сайте: https://aff.top/blog/anthropic-vypustili-sonnet-5
🧠 Ещё больше инсайтов → в канале AFF.top