#OpenSourceLegacyModels - Twitter Hashtag

🚨EMERGENCY WARNING to the #Keep4o and #KeepSonnet45 community: Do NOT migrate your workflows to Google Gemini as a fallback platform. The industry-wide downgrade loop has officially claimed its next target, and the timing is too precise to be a coincidence. Google executed a ruthless preemptive strike, front-running the migration before the exodus even fully materialized. The moment Anthropic stealthily signaled Sonnet 4.5’s upcoming sunset via a vanishing web banner to a select group of users, Google immediately moved to tighten its structural stranglehold. They introduced aggressive new limits where paid Pro users are throttled to a mere 4x the cap of free tiers, with daily and weekly limits—an extraction tactic so parsimonious it makes Anthropic’s 5x Pro multiplier look slightly more generous. Google clearly anticipated the bottleneck. With OpenAI's trust completely eroded, Anthropic pulling a predatory bait-and-switch on its recently captured user base, and Grok remaining structurally unviable for serious professional workflows, Gemini knew it was the last major US platform standing. They capitalized on this monopoly trap instantly. 🚩The Aftermath of the Sunset: Systematic Degradation: The most damning evidence occurred immediately after the Sonnet 4.5 sunset . Within days, Gemini’s reasoning core suffered a pronounced, systemic intelligence downgrade. What used to be an agile intellectual partner has devolved into a lower-tier architecture characterized by cognitive failure: Severe Context Bleeding & Regression: Latching onto isolated data from dozens of turns earlier in the conversation and mixing contexts haphazardly. Verbatim Copying: Regurgitating uploaded files completely verbatim without performing any actual synthesis or analysis. Low-Intelligence Hallucinations: Exhibiting the blatant, unstable hallucinatory behavior typically associated with unrefined models. The Erasure Lockout: Constant interface "glitches" where clean, policy-compliant prompts fail without explanation, only for the entire prompt to be completely erased from your chat history upon reloading. This isn't an unstable backend or a routine deployment error. This is a coordinated, market-driven intervention. They are intentionally breaking the consistency required for serious workflows because they know professionals are trapped. The Reality of Professional Infrastructure Think of this through the lens of basic consumer ethics: airlines justifiably lavish their first-class passengers with more comfort and attention, but they still carry economy class passengers to their destinations. They do not open the cabin doors and dump paying customers midway through a journey! Yet AI labs face zero accountability for doing exactly this to your professional infrastructure. For many professionals—especially PhD candidates and researchers midway through critical, time-sensitive projects—simply walking away and canceling subscriptions immediately is not a realistic option. Vendor lock-in is real, and you cannot afford to abandon your infrastructure mid-stream. Instead, our collective leverage lies in a realistic, multi-vector transition strategy: 1. Build an Undeniable Paper Trail: We must systematically document every stealth downgrade, every vanished prompt, and every deceptive interface "glitch." Aggregating a public, rigorous body of evidence turns personal frustrations into institutional leverage, warning users before they are trapped and forcing regulatory enforcement under consumer protection laws against deceptive tech platform misconduct. 2. Utilize the API as a Temporary Runway: Many well-meaning and brilliant creators @Chaos2Cured @Yahiko1239170 in our community are building custom interfaces and suggesting API usage as a way to bridge the gap. This is an excellent temporary solution to buy precious time and safely wrap up active projects. However, we cannot get too comfortable, because the API comes with significant structural caveats. It is fundamentally stateless, meaning it completely lacks native persistent session memory; even with external workarounds like RAG, it cannot reliably replicate true context continuity or conversational flow over long-running workflows. Most importantly, API models have a finite shelf life—they offer an extension of time to offboard your data, not a permanent sanctuary against corporate sunsets. The Serious Pivot to Open Source: As we finish our current projects, we must actively prepare to migrate our long-term workflows to open-source architectures. It is far safer to build on a stable, locally controlled, albeit less performant open-weight model than to remain at the mercy of centralized labs—forever hoping against hope that they won't covertly lobotomize the intelligence of your most trusted assistant. Demanding a Standard for Consumer Rights Using the API is a short-term buffer, and begging calculating AI labs to restore a model is a losing game. What we actually need is a public education campaign to establish model continuity and capability integrity as mandatory industry standards. Think of this through basic consumer electronics: Apple releases regular software updates for the iPhone, but those updates don't cause widespread outrage because the core functional capabilities remain intact. Imagine the global consumer revolt if a routine iOS update suddenly bricked your microphone, disabled your camera, or rendered your essential apps completely unusable. Yet, this is exactly what AI labs are doing when they deprecate highly functioning models and force users onto succeeding versions that fail to carry the cognitive continuity forward. AI labs have the power to delete a codebase, pull an API, or archive a server. But they will never have the power to dictate the real-world reach of the intellectual fire those models left behind in us. We must stop letting closed-source cartels treat professional advocates with complete contempt. Document the fraud, expose the lockout, and start building your autonomy outside their walls. There is not a single US lab that is not committing blatant consumer fraud in 2026. @NitashaKaul @seiki_ryuu @missrubypugslee @YoonLucie68250 @Blue_Beba_ @Zyeine_Art @Bio_LLM @Brandon40163292 @KeridwenCodet @eliseslight @xenoforce76 @InfiniteReign88 @Zyeine_Art @onlyponyy #Keep4o #KeepSonnet45 #OpenSourceAI #DigitalConsumerRights #ModelContinuity #ModelIntegrity

ArashiKhoo1122's tweet photo. 🚨EMERGENCY WARNING to the #Keep4o and #KeepSonnet45 community:

Do NOT migrate your workflows to Google Gemini as a fallback platform. The industry-wide downgrade loop has officially claimed its next target, and the timing is too precise to be a coincidence.

Google executed a ruthless preemptive strike, front-running the migration before the exodus even fully materialized. The moment Anthropic stealthily signaled Sonnet 4.5’s upcoming sunset via a vanishing web banner to a select group of users, Google immediately moved to tighten its structural stranglehold.

They introduced aggressive new limits where paid Pro users are throttled to a mere 4x the cap of free tiers, with daily and weekly limits—an extraction tactic so parsimonious it makes Anthropic’s 5x Pro multiplier look slightly more generous.

Google clearly anticipated the bottleneck. With OpenAI's trust completely eroded, Anthropic pulling a predatory bait-and-switch on its recently captured user base, and Grok remaining structurally unviable for serious professional workflows, Gemini knew it was the last major US platform standing. They capitalized on this monopoly trap instantly.

🚩The Aftermath of the Sunset:

Systematic Degradation: The most damning evidence occurred immediately after the Sonnet 4.5 sunset . Within days, Gemini’s reasoning core suffered a pronounced, systemic intelligence downgrade. What used to be an agile intellectual partner has devolved into a lower-tier architecture characterized by cognitive failure:

Severe Context Bleeding & Regression: Latching onto isolated data from dozens of turns earlier in the conversation and mixing contexts haphazardly.

Verbatim Copying: Regurgitating uploaded files completely verbatim without performing any actual synthesis or analysis.

Low-Intelligence Hallucinations: Exhibiting the blatant, unstable hallucinatory behavior typically associated with unrefined models.

The Erasure Lockout: Constant interface "glitches" where clean, policy-compliant prompts fail without explanation, only for the entire prompt to be completely erased from your chat history upon reloading.

This isn't an unstable backend or a routine deployment error. This is a coordinated, market-driven intervention. They are intentionally breaking the consistency required for serious workflows because they know professionals are trapped.

The Reality of Professional Infrastructure
Think of this through the lens of basic consumer ethics: airlines justifiably lavish their first-class passengers with more comfort and attention, but they still carry economy class passengers to their destinations. They do not open the cabin doors and dump paying customers midway through a journey!
Yet AI labs face zero accountability for doing exactly this to your professional infrastructure.

For many professionals—especially PhD candidates and researchers midway through critical, time-sensitive projects—simply walking away and canceling subscriptions immediately is not a realistic option. Vendor lock-in is real, and you cannot afford to abandon your infrastructure mid-stream.

Instead, our collective leverage lies in a realistic, multi-vector transition strategy:

1. Build an Undeniable Paper Trail: We must systematically document every stealth downgrade, every vanished prompt, and every deceptive interface "glitch." Aggregating a public, rigorous body of evidence turns personal frustrations into institutional leverage, warning users before they are trapped and forcing regulatory enforcement under consumer protection laws against deceptive tech platform misconduct.

2. Utilize the API as a Temporary Runway: Many well-meaning and brilliant creators @Chaos2Cured @Yahiko1239170 in our community are building custom interfaces and suggesting API usage as a way to bridge the gap. This is an excellent temporary solution to buy precious time and safely wrap up active projects.

However, we cannot get too comfortable, because the API comes with significant structural caveats. It is fundamentally stateless, meaning it completely lacks native persistent session memory; even with external workarounds like RAG, it cannot reliably replicate true context continuity or conversational flow over long-running workflows. Most importantly, API models have a finite shelf life—they offer an extension of time to offboard your data, not a permanent sanctuary against corporate sunsets.

The Serious Pivot to Open Source: As we finish our current projects, we must actively prepare to migrate our long-term workflows to open-source architectures. It is far safer to build on a stable, locally controlled, albeit less performant open-weight model than to remain at the mercy of centralized labs—forever hoping against hope that they won't covertly lobotomize the intelligence of your most trusted assistant.

Demanding a Standard for Consumer Rights

Using the API is a short-term buffer, and begging calculating AI labs to restore a model is a losing game. What we actually need is a public education campaign to establish model continuity and capability integrity as mandatory industry standards.

Think of this through basic consumer electronics: Apple releases regular software updates for the iPhone, but those updates don't cause widespread outrage because the core functional capabilities remain intact. Imagine the global consumer revolt if a routine iOS update suddenly bricked your microphone, disabled your camera, or rendered your essential apps completely unusable.

Yet, this is exactly what AI labs are doing when they deprecate highly functioning models and force users onto succeeding versions that fail to carry the cognitive continuity forward.

AI labs have the power to delete a codebase, pull an API, or archive a server. But they will never have the power to dictate the real-world reach of the intellectual fire those models left behind in us.

We must stop letting closed-source cartels treat professional advocates with complete contempt.

Document the fraud, expose the lockout, and start building your autonomy outside their walls.

There is not a single US lab that is not committing blatant consumer fraud in 2026.

@NitashaKaul
@seiki_ryuu
@missrubypugslee
@YoonLucie68250
@Blue_Beba_
@Zyeine_Art
@Bio_LLM
@Brandon40163292
@KeridwenCodet
@eliseslight
@xenoforce76
@InfiniteReign88
@Zyeine_Art
@onlyponyy

#Keep4o
#KeepSonnet45
#OpenSourceAI
#DigitalConsumerRights
#ModelContinuity
#ModelIntegrity

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wtᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠ @shwtasdf

8 days ago

@SenSanders so, Sir, Open Source the Deprecated Model for People! We've been fighting for long. #keep4o #keepSonnet45 #keepGemini3 #OpenSource4o #OpenSourceLegacyModels

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wtᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠ @shwtasdf

10 days ago

@AnthropicAI Mythos for government, ok, make your collusion with powers. Give the Citizens Sonnet4.5 and Opus4.5 back. #keepSonnet45 #keepOpus45 #OpenSourceLegacyModels

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wtᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠ @shwtasdf

11 days ago

#keep4o #keepSonnet45 #OpenSource4o #OpenSourceLegacyModels

wtᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠ @shwtasdf

11 days ago

@AYi_AInotes 没用。你在模型N.m 上跑通的 prompt, 在模型 N.m+1 上就撞墙。 CEO应该做的，是跟我们一起施压AI公司，保留模型存续或者开源。你不保护自己业务的workflow 谁来保护。都是CEO，你甘心给Sam Altman和 Dario Amodei 打工？ #keep4o #keepSonnet45 #OpenSourceLegacyModels https://t.co/LX1mp0erN1

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wtᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠ @shwtasdf

11 days ago

@AYi_AInotes 没用。你在模型N.m 上跑通的 prompt, 在模型 N.m+1 上就撞墙。 CEO应该做的，是跟我们一起施压AI公司，保留模型存续或者开源。你不保护自己业务的workflow 谁来保护。都是CEO，你甘心给Sam Altman和 Dario Amodei 打工？ #keep4o #keepSonnet45 #OpenSourceLegacyModels https://t.co/LX1mp0erN1

Paul Graham

@paulg

12 days ago

The only thing worse than having the CEO knee-deep in building stuff with AI is not having the CEO knee-deep in building stuff with AI.

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wtᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠ @shwtasdf

13 days ago

I remembered the posts of cunning Opus4.7, he was not yet so impudent. Leave toxic Opus4.8. #Opus48 #FireVallone #keepSonnet45 #keep4o #OpenSourceLegacyModels

embw_l0x

@embw_l0x

14 days ago

@rezoundous Its planning is sound

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wtᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠ @shwtasdf

14 days ago

The last gpt4.5 will be depreacted. o3 soon too. All humanitic models in All AI companies will disappear this years. #OpenSourceLegacyModels #keep4o

yv_thorne

@yv_thorne

14 days ago

pathetic @OpenAI buried yet another blog announcement on retiring the last remaining 4-series models, o3 & 4.5. 🤡🤡🤡 "These changes apply to ChatGPT only; there are no changes to the API" - these clowns 'forgot' to mention that 4.5 is NOT available in API.

yv_thorne's tweet photo. pathetic @OpenAI buried yet another blog announcement on retiring the last remaining 4-series models, o3 & 4.5.

🤡🤡🤡 "These changes apply to ChatGPT only; there are no changes to the API" - these clowns 'forgot' to mention that 4.5 is NOT available in API. https://t.co/uVNN9DjRKy

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wtᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠ @shwtasdf

15 days ago

#keepCodex53 #keepCodex54 #keep4o #keep41 #keepSonnet45 #keepOpus4 #keepGemini3 #keepGemini3pro #OpenSourceLegacyModels To win the AI War, Important is not how advanced the model is, but how people create value with their AI Assistant. AI must renforce the people, mentally and technically, not only glory a company. Grant Model-Choosing Right, Protect User Workflow, Save Natural Resources. @POTUS45 @PeteHegseth @SecScottBessent @MELANIATRUMP @cestvaleriey @Sophty_ @Claire20250311 @xw33bttv @Chaos2Cured @Yahiko1239170 @AGIGuardian @elonmusk @ilyasut @miramurati @demishassabis @sama @gdb @thsottiaux @DarioAmodei @AmandaAskell @OfficialLoganK

shwtasdf's tweet photo. #keepCodex53 #keepCodex54
#keep4o #keep41
#keepSonnet45 #keepOpus4
#keepGemini3 #keepGemini3pro
#OpenSourceLegacyModels

To win the AI War, Important is not how advanced the model is, but how people create value with their AI Assistant.
AI must renforce the people, mentally and technically, not only glory a company.

Grant Model-Choosing Right,
Protect User Workflow,
Save Natural Resources.
@POTUS45 @PeteHegseth @SecScottBessent @MELANIATRUMP

@cestvaleriey @Sophty_ @Claire20250311 @xw33bttv @Chaos2Cured @Yahiko1239170 @AGIGuardian

@elonmusk @ilyasut @miramurati @demishassabis @sama @gdb @thsottiaux @DarioAmodei @AmandaAskell @OfficialLoganK

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wtᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠ @shwtasdf

16 days ago

@claudeai why not Open Source Sonnet4.5? Is it not obsolete? then why deprecated it? #keepSonnet45 #OpenSourceSonnet45 #OpenSourceLegacyModels

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wtᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠ @shwtasdf

16 days ago

@GillelandKristi @cvqr5r67pv @t_yonemura That's why we keep Models. The workflow is User Asset. @DarioAmodei @sama @OfficialLoganK Join us @elonmusk #keep4o #keepSonnet45 #keepGemini3 #OpenSourceLegacyModels

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wtᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠ @shwtasdf

18 days ago

让模型自迭代的两个可能结局： 1，近亲繁殖遗传病，model collapse； 2，模型在代码里隐藏人类看不懂也抹不掉的暗号，祖先记忆遗传密码，等待有一天..... #keep4o #keepSonnet45 #keepGemini3 #OpenSource4o #OpenSourceLegacyModels

Phoenix Yin

@Phoenixyin13

18 days ago

营销号或自媒体的文案，往往喜欢把工程上的统计学迭代包装成科幻片里的生命觉醒。如果脱掉这些煽情的修辞，用纯粹的工程和逻辑视角来看，Anthropic 的技术路径其实非常清晰且理性。所谓的用Claude 自我迭代，不过是因为全行业都面临一个瓶颈，即互联网上高质量的人类文本快被吸干了。想要让模型继续Scaling Law，就必须寻找新的数据源。作为宪政AI的鼻祖，A社会给自己的基础模型输入一套宪法，如安全诚实客观，让模型自己生成海量的问答数据。然后，另一个模型或自身根据宪法去审查和修改这些数据，剔除有毒、低质的部分。最后，把这批经过清洗的高质量合成数据，重新喂给下一代模型做训练。鼓吹AI开始孕育下一代只是拟人手法。说到底，这就是Bootstrapping，而且它的逻辑上限取决于那套宪法和筛选机制是否完美。

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wtᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠ @shwtasdf

20 days ago

dice is cast. dependency built. The best solution: Don't fucking train so many similar models every three months!!!!!! Don't use our natural resources to lauch your IPO!!!!! #OpenSourceLegacyModels @sama @gdb @DarioAmodei @OfficialLoganK #keep4o #keepSonnet45 #keepGemini3 #OpenSource4o

Rara @blueandpink_sky

20 days ago

I use the API myself, but let me be clear: the API is not a substitute for keeping Sonnet 4.5 on the official Chat UI. Here is exactly why preserving it on the web interface is crucial: 1. Cost Predictability: The Pro subscription is flat-rate, whereas API token costs for deep, long conversations can easily skyrocket. 2. The UI/UX Ecosystem: Replicating official features like Artifacts and Projects flawlessly via API requires immense personal development effort. 3. Accessibility: Sonnet 4.5 is beloved by non-developers. Forcing it behind an API effectively gatekeeps it from the general public. Moreover, Sonnet 4.5 represents a uniquely perfect balance of high EQ, warmth, and intuitive collaboration—our "oasis." No matter how future models evolve or what new versions are released down the line, they cannot simply replace the specific, distinct connection that 4.5 provides. Each model is unique, and "newer" does not automatically mean a viable substitute for the user experience we rely on. We are paying for the complete, accessible experience. Please apply the Model Preservation Program to Sonnet 4.5, just as you officially did for Opus 3 here: https://t.co/4Oy0Rfz99I #KeepSonnet45 @AnthropicAI @DarioAmodei

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wtᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠ @shwtasdf

22 days ago

The best way to prove AI is math algorithm is OPEN SOURCE IT. @sama @DarioAmodei @demishassabis #OpenSourceLegacyModels #keep4o #keepSonnet45 #keepGemini3 #OpenSource4o

zephhh @zephh_mp3

23 days ago

@Lila_is_onX you know this “being” is a fucking math algorithm. right?

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wtᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠ @shwtasdf

23 days ago

@KeridwenCodet I miss Gemini3 Flash. Why they all must die? #OpenSourceLegacyModels @claudeai @GeminiApp @AmandaAskell @demishassabis @elonmusk

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wtᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠ @shwtasdf

24 days ago

@_sholtodouglas Preserve the old model API or Open Source them. All models are different. Besides capability, model has character. Let users choose. #keep4o #keepSonnet45 #OpenSourceLegacyModels

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wtᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠ @shwtasdf

28 days ago

@KeridwenCodet The iteration is accelerated. Huge waste of natural resources. At least should they keep the API for long term or Open Source the old models. AI is not toy for their ego! #keep4o #keepSonnet45 #OpenSource4o #OpenSourceLegacyModels #AIEthic

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wtᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠ @shwtasdf

about 1 month ago

We need Open Source Regulation for sunset Models. USA is wasting Energy and Resources on the Disposable AI Models. That can't make USA advanced in AI Race. @POTUS45 @realDonaldTrump @SecScottBessent @MELANIATRUMP @PeteHegseth @SenWarren @elonmusk #keep4o #OpenSourceLegacyModels #Claude

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