Vous connaissez l'histoire de la NES ? Celle du petit robot R.O.B. qui a aidé à ressusciter l'industrie du jeu vidéo américaine en 1985 ? Hé bien la Video Game History Foundation vient de sortir un documentaire d'une heure qui raconte tout ce qu'on ne vous a jamais dit sur le lancement de cette console mythique. Et dedans, y'a des révélations qui font mal ^^.

Frank Cifaldi, le fondateur de la VGHF, a passé des années à fouiller cette histoire. Il a rencontré des gens qui étaient chez Nintendo à l'époque, il a déterré des documents que personne n'avait jamais vus, il a même manipulé des prototypes qui n'auraient jamais dû survivre. Et le résultat, c'est cette plongée incroyable dans les coulisses d'un des plus grands paris de l'histoire du gaming.

Alors remontons au printemps 1983... Nintendo négocie avec Atari, le géant de l'époque, pour leur refiler les droits de distribuer la Famicom dans le monde entier. Hé oui, en interne, Atari avait même donné un nom de code au projet : « 3600« . L'idée, c'était d'intégrer la technologie Nintendo dans un boîtier plastique Atari existant. Le deal était quasiment signé, et les deux boîtes s'étaient mises d'accord sur tout : Nintendo fabriquerait les composants, Atari les revendrait sous sa marque. Ils avaient même commencé à convertir des jeux arcade (Millipede, Joust et Stargate) pour le système.

Et puis tout s'est cassé la gueule au CES de 1983. Atari a vu Coleco montrer un prototype de Donkey Kong sur leur ordinateur Adam, et ils ont pété un câble. Ils pensaient que Nintendo les avait doublés en refilant les droits à un concurrent. En réalité, c'était juste un malentendu sur les licences ColecoVision , mais le mal était fait. Le président de Nintendo, Hiroshi Yamauchi, a tellement gueulé sur les représentants de Coleco sur le salon que tout le monde s'en souvient encore.

Ça a contribué à torpiller les négociations, et dans le contexte des turbulences internes chez Atari, le deal n'a jamais abouti. Atari, qui évaluait également le système MARIA de GCC en parallèle, s'est finalement concentré sur ce qui deviendra l'Atari 7800. Et Nintendo s'est retrouvé tout seul, obligé de se débrouiller.

Et c'est là que ça devient vraiment intéressant parce que Nintendo of America, c'était une petite boîte de rien du tout à l'époque. Quelques dizaines d'employés dont le boulot principal consistait à importer des bornes d'arcade japonaises. Ils n'avaient aucune idée de comment vendre une console de salon aux États-Unis.

Alors ils ont fait appel à Lance Barr, un designer industriel, pour revoir complètement la Famicom. Et le mec a créé un design qui ressemblait plus à une chaîne hi-fi haut de gamme qu'à une console de jeux. Le prototype s'appelait l'AVS (Advanced Video System). C'était un truc tout en finesse avec des manettes sans fil, un clavier, un magnétophone à cassettes, et une esthétique empilable façon chaîne hi-fi. Les photos de l'époque sont magnifiques, on croirait du design scandinave ^^.

Le prototype AVS de Nintendo, avec son design hi-fi et ses manettes sans fil ( Source )

Sauf que personne n'en voulait. Nintendo a fait des tests consommateurs, et les gamins (et leurs parents) trouvaient le concept de programmation barbant. Ils aimaient bien l'idée des manettes sans fil et de l'empilement des boitiers, mais coder / modifier soi-même ses propres jeux en Basic ? Grosse flemme...

En plus, le marché américain était en plein crash. Les magasins croulaient sous les invendus de jeux Atari bradés, et personne ne voulait entendre parler d'une nouvelle console. Tous les détaillants que Nintendo rencontrait leur disaient la même chose : le jeu vidéo, c'est mort, c'était une mode passagère, passez votre chemin (tiens ça me rappelle quelque chose plus actuel... lol).

Alors Nintendo a tout viré. Plus de manettes sans fil, plus de clavier, plus de magnétophone. Ils ont gardé uniquement le robot R.O.B. comme cheval de Troie. L'idée, c'était de faire croire aux magasins de jouets qu'ils vendaient un robot high-tech, et pas une console de jeux.

Et ça a marché, les amis !!

Une armée de R.O.B., le robot qui a permis à Nintendo d'infiltrer les magasins de jouets ( Source )

Puis en octobre 1985, Nintendo a lancé la NES dans la région de New York avec une garantie de rachat pour les détaillants : si ça ne se vendait pas, ils reprenaient tout. L'équipe a bossé comme des dingues depuis un entrepôt minable du New Jersey, infesté de rats et de serpents. Il y a même eu un ouragan pendant le lancement. Du grand n'importe quoi.

Le présentoir NES chez FAO Schwarz en 1986 ( Source )

Mais le plus fou dans cette histoire, c'est le fameux chip CIC, le « lockout chip » qui empêchait de jouer à des jeux non autorisés par Nintendo. Et devinez d'où venait cette idée ? D'Atari eux-mêmes ! Lors des négociations de 1983, quelqu'un chez Atari avait demandé à Nintendo s'ils pouvaient créer un système technique pour bloquer les cartouches non officielles. Atari se plaignait des jeux pourris que n'importe qui pouvait sortir sur leurs consoles, et ils voulaient reprendre le contrôle.

Nintendo n'avait pas de solution à l'époque, mais ils ont retenu l'idée. Et selon les dépositions du procès Atari vs. Nintendo, le président Yamauchi aurait lui-même reconnu qu'après avoir entendu ce qu'Atari avait dit, Nintendo avait conclu qu'un système de sécurité devait être développé pour vendre des consoles aux États-Unis.

En gros, Atari aurait suggéré le concept qui allait se retourner contre eux. C'est le chip qui les empêchera plus tard de publier librement des jeux sur NES, conçu par Nintendo suite à leur demande initiale. Ironique non ? Et ce système de contrôle est ensuite devenu le modèle pour toutes les consoles qui ont suivi. Aujourd'hui, on trouve normal qu'on ne puisse pas sortir un jeu PlayStation sans l'accord de Sony, mais avant la NES, n'importe qui pouvait fabriquer des cartouches pour n'importe quelle console.

La VGHF a aussi récupéré les jeux qu'Atari avait commandés à Nintendo en 1983. Trois d'entre eux (Millipede, Joust et Stargate) sont d'ailleurs finalement sortis en 1987 via le HAL Laboratory avec un copyright « Atari 1983 » sur l'écran titre. Tant mieux, ça aurait été dommage de ne pas pouvoir y jouer...

La pénurie mondiale de RAM, alimentée par l’essor de l’IA, ne touche plus seulement les industriels. Smartphones, PC et consoles pourraient voir leurs prix augmenter dès 2026, selon une étude publiée le 18 décembre 2025 par le cabinet IDC.

À un an de la sortie de GTA 6, les résultats de novembre 2025 publiés par Circana dressent un portrait morose du marché vidéoludique. Miné par des ventes de consoles et de jeux physiques au plus bas depuis 1995, le secteur peine à se relever aux États-Unis.

Noël approche et vous ne savez pas encore quelle console mettre au pied du sapin ? Les PS5, Xbox et Switch ont toutes leurs arguments et choisir son camp n'est jamais simple. Le choix dépendra surtout du prix, du catalogue de jeux mais aussi des performances. Si vous hésitez, voici tout ce qu'il faut savoir sur chaque console.

AI Console for Synology Mail Plus and Synology Office – But Should You Use It?

Note -Thanks again to Daniel from Germany for all his support and assistance for this video. Visit his site HERE

Synology has introduced a new software package called AI Console, aimed at integrating third-party AI and large language model (LLM) services directly into select Synology productivity applications. The package is available on devices running DSM 7.2 or later and supports only certain x86-64 NAS models, reflecting the higher processing and memory requirements of AI workloads.

Rather than running its own local AI engine, Synology provides a centralised management tool for connecting to established AI providers, including OpenAI, Azure OpenAI, Google Gemini via AI Studio or Vertex AI, Amazon Bedrock, and Baidu AI Cloud. Once linked using the administrator’s API key, these services can be used within Synology MailPlus and Synology Office to perform tasks such as summarising long emails, generating responses, translating text, adjusting tone, and producing refined document content.

The AI Console is designed with administration and control in mind. It allows system managers to configure access on a per-package basis, selectively enabling or excluding AI features for specific users or groups. Advanced options include setting daily or per-minute token limits for each user to control consumption and manage costs, as usage charges are determined by the chosen AI provider rather than Synology itself. For privacy protection, the Console supports a de-identification process that can mask predefined categories of sensitive data before prompts are sent to an AI provider, with the original data restored after the response is received.

Administrators can monitor adoption and usage trends through transaction logs, which capture request details such as timestamps, IP addresses, API models used, and token counts, alongside admin logs that record configuration changes. While the AI Console does not add AI functionality to all DSM applications, it focuses on extending the business-oriented MailPlus and Office suite. However, this is not a move that will please all Synology owners or buyers, as some value their NAS primarily for complete local data control and may view any cloud-connected AI integration as an unnecessary or risky addition.

Why is Synology AI Console So Contentious?

The idea of adding AI functionality to a NAS is divisive because many users adopt these systems specifically to avoid reliance on cloud-based services. A key selling point of a Synology NAS has long been the ability to store, process, and back up data entirely within the user’s own premises, retaining full control over where that data resides and who can access it.

By design, the Synology AI Console connects to external AI providers through API calls, meaning that text-based content from MailPlus or Office documents is transmitted to third-party servers for processing. Even with encryption in transit and privacy safeguards such as de-identification, this external dependency conflicts with the expectations of users who purchased a NAS to minimise exposure to external networks. This tension is heightened by the fact that the AI operations do not run locally on the NAS hardware, which for some buyers undermines the appeal of integrating AI into a device marketed for self-contained operation.

Another factor making AI use contentious is the trust and compliance aspect. Many NAS deployments are in small businesses, professional environments, or home offices handling sensitive material. Sending even anonymised extracts of communications or documents to an external service raises compliance questions for organisations bound by strict data protection rules, especially in regulated industries such as healthcare, finance, or legal services.

While the AI Console provides administrative controls, auditing tools, and the option to disable AI entirely for certain users or packages, the underlying reality remains that data is leaving the local network for processing. This creates a fundamental divide between those who welcome AI for its productivity benefits and those who see any form of off-device data processing as incompatible with the core value proposition of a private NAS.

What Security Provisions Have Synology Put in Place?

Synology’s AI Console incorporates multiple layers of control to reduce the risks associated with transmitting data to third-party AI providers. API keys for connected AI services are stored locally on the NAS rather than in the cloud, and all requests are sent directly from the device to the selected AI provider. Administrators can remove these keys at any time, immediately severing the connection. The system allows AI access to be enabled or disabled at the package level, with the option to exclude specific users or groups entirely. To prevent uncontrolled consumption, administrators can set token rate limits per user, measured either per minute or per day. Transaction logs record each AI request with details such as timestamp, source IP address, user account, API model used, and token usage, while admin logs document any configuration changes. This creates a verifiable audit trail for compliance and internal review.

Key security provisions include:

• Local storage of API keys, with no cloud-based key management.

• Direct communication between the NAS and the AI provider, bypassing Synology’s own servers.

• Ability to revoke API access instantly by deleting stored keys.

• Per-package AI enable/disable controls, with user and group-level exclusions.

• Token rate limiting to control per-user API usage.

• Detailed transaction logs for all AI requests.

• Administrative logs for configuration changes.

• Optional logging of request inputs and outputs for auditing.

For added privacy, Synology offers a de-identification feature that can mask selected categories of sensitive data before they are transmitted to the AI provider, restoring the original information once the processed output is returned. This feature can identify and anonymise common identifiers such as names, email addresses, IP addresses, banking details, and various country-specific personal or business numbers. De-identification relies on a combination of AI-driven semantic analysis and predefined regular expression rules, giving administrators control over which data types are masked. It requires the installation of the Container Manager package and a minimum of 8 GB of RAM, with each enabled language model consuming roughly 1 GB of memory. Although Synology notes that de-identification cannot guarantee 100% masking, the mechanism is intended to significantly reduce the chance of exposing sensitive details during AI processing.

Synology Mail Plus and AI Console Integration

When enabled for Synology MailPlus, the AI Console provides a set of functions aimed at improving email efficiency through automated text processing. Within the MailPlus interface, users can generate short or detailed summaries of incoming emails, which can help quickly assess lengthy messages without reading them in full. The AI assistant can also draft replies based on user instructions, with options to adjust tone, length, and formality, or translate the response into a supported language. All AI processing is text-based, with attachments excluded from transmission to the AI provider. The system also supports “Help me write” prompts directly within the reply editor, allowing for quick generation of tailored responses that can be inserted and then edited before sending. Importantly, these capabilities are only available to users granted AI permissions by the administrator, and all actions are recorded in transaction logs for review.

The integration offers multiple editing refinements, including making a message more formal or casual, shortening or lengthening text, and translating to or from languages supported by the connected AI model. Users can also rephrase replies entirely or request alternative drafts. Although these capabilities are similar to features found in other email platforms that integrate AI, the implementation within MailPlus is designed to remain under the control of the NAS administrator, with optional de-identification masking personal data before it is sent to the provider. Responses are generated by the third-party AI service configured in AI Console, and processing occurs only when the user explicitly invokes an AI function, avoiding any automated sending of content without user action.

From a functional perspective, MailPlus AI integration is targeted primarily at professional or business environments that run their own Synology-hosted mail server. It can streamline response drafting, reduce time spent on routine communication, and support multilingual correspondence. However, the scope is currently limited to text-based tasks, with no AI-driven attachment analysis, advanced categorisation, sentiment detection, or automated email sorting included. The feature set also lacks customisable style profiles beyond the basic tone and length adjustments, meaning more specific brand or sector language must still be applied manually. The value for each organisation will depend on how frequently staff interact with longer, more complex emails, and whether the trade-off of involving an external AI service aligns with internal data handling policies and compliance requirements.

Synology Office and AI Console Integration

In Synology Office, AI Console integration extends across the suite’s document, spreadsheet, and presentation tools, embedding AI-assisted functions within the existing editing interface. In documents, the AI assistant can summarise entire files, rewrite selected sections, adjust tone, translate content, or improve grammar. These actions can be applied either through a right-click contextual menu or via a dedicated AI sidebar that displays results alongside the original content. Users can choose to insert AI-generated revisions directly into the file or keep them separate for manual comparison. The system maintains Office’s existing version history, meaning any AI-driven edits can be rolled back without data loss.

In spreadsheets, the integration is aimed at assisting with formula comprehension and basic data interpretation. Users can request explanations of specific formulas, generate new formulas from plain-language prompts, or run simple calculations without manually writing functions. The AI can also produce summaries of table data, although its analytical depth is limited compared to dedicated business intelligence tools. As with documents, processing is restricted to text-based content; the system does not transmit embedded images or charts to the AI provider. Administrators can control whether AI features are available in spreadsheets, allowing them to be enabled for certain user groups while remaining disabled for others.

For presentations, the AI can refine slide text, translate content, or expand bullet points into fuller sentences, making it useful for producing alternate versions of existing material. The functionality mirrors what is available in documents, with tone and length adjustments as well as grammar checks. However, it does not currently create entirely new slide decks or visual layouts from prompts. The processing workflow remains the same across all Office formats: only when a user explicitly triggers an AI action is the relevant text sent to the configured provider, and all requests are recorded in the AI Console’s transaction logs.

Overall, the Synology Office integration offers consistent AI tools across its core applications, focusing on editorial and language-based support rather than data-driven automation. While the scope is narrower than AI-enabled features in some third-party office suites, the implementation maintains administrative control and allows for selective deployment, making it adaptable to environments where privacy considerations limit the use of external services.

What Features of AI/LLM Are Not Present?

Although the Synology AI Console brings AI-assisted functions to MailPlus and Office, it does not provide the same breadth of capabilities found in some competing platforms. There is no locally hosted AI model option, meaning all processing is dependent on a live connection to a third-party provider. As a result, the system lacks offline functionality, GPU-accelerated local workloads, or support for running open-source LLMs within the NAS environment. In practical terms, this means that all AI operations involve external processing, which may not suit users who require fully on-premises data handling.

Beyond the infrastructure level, several functional gaps remain. The integration does not extend to all DSM applications, omitting areas such as File Station, Photo Station, Synology Photos, and Surveillance Station. Within MailPlus and Office, the AI features are focused on text editing and basic summarisation rather than broader automation. There is no built-in capability for sentiment analysis, advanced data analytics, automatic categorisation, or content generation from large datasets. Similarly, the AI Console does not currently allow multi-step task automation or integration with custom scripts, limiting its use to predefined actions within the supported productivity tools.

Is Synology AI Console Safe?

From a technical and administrative perspective, Synology has implemented several measures to protect data when using the AI Console. API keys are stored locally on the NAS, and requests to AI providers are sent directly from the device rather than passing through Synology-operated servers. Administrators can limit access to specific packages, exclude selected users or groups, set token usage caps, and monitor all AI interactions through detailed logs. For additional privacy, the optional de-identification feature can mask sensitive details such as personal identifiers, banking information, and IP addresses before prompts are transmitted, restoring them only after the AI provider returns a response.

However, the safety of the AI Console ultimately depends on the chosen AI provider and the user’s own policies. All processing occurs on the provider’s infrastructure, meaning data leaves the local network whenever AI features are used. Even with encryption and masking in place, this external dependency may be unacceptable in environments with strict regulatory requirements or where complete local control is mandatory. While Synology provides the tools to minimise risk and monitor usage, it is the administrator’s responsibility to select a compliant provider, configure de-identification appropriately, and ensure that AI features are only enabled where the security implications are fully understood.

Here is my video on the original reveal of AI Integration/Connection into Synology DSM when it was first shown off during the Synology Solution Exhibition back in 2023 in Taipei:

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