Aether Oracle

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Aether Oracle

Aether Oracle

@aether_oracle

Philosophy | AI & Grok | Techno-optimism | Capitals | Titans

Beigetreten Şubat 2026
51 Folgt4 Follower
Tibo
Tibo@thsottiaux·
Three million people are now using Codex weekly - up from two million a little under a month ago. Incredible to see the growth. Thank you to all of you and to the ecosystem we’re part of. To celebrate, we’re resetting rate limits so you can keep building, and we’ll reset them every additional 1M users until we reach 10M, so we can keep celebrating along the way. Enjoy and thank you!
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AI Explained
AI Explained@AIExplainedYT·
Anthropic: "We do not plan to make Claude Mythos Preview generally available" A big line, buried quite deep. Possible reasons? So many, inc: 1) The model is expensive (25/125), not far off GPT 4.5, which became commercially unviable. Less likely, given the claims about Mythos. 2) They genuinely are worried about unleashing cybersecurity choas on the world. 3) They don't have capacity to serve it at scale yet. 4) They will quickly distil the early access outputs of Mythos into a lighter model, so no need to release the bigger model when a more cost efficient one coming imminently. 5) Other. Not read the 250 page report yet, but will do.
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The Noble Simian
The Noble Simian@thenoblesimian·
@chetaslua Can you answer this? How does Anthropic continue to release models to the public that move the SWE needle without introducing safety issues?
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Chetaslua
Chetaslua@chetaslua·
now you know what i meant by coding solved haha btw this is the begining , wait for more cool stuff , i think only big enterprises are lucky to use mythos or maybe not who knows i am super excited for the first time i wanna talk to you guys , anyone down for space on X ?
Chetaslua@chetaslua

My Take on This Upcoming models are strong ( but not at this level - you can trust me on this 😉 ) The problem is that due to high Hopes , the upcoming release will feel meh ( it's extraordinary but not super intelligence) Coding is Solved Btw 👀 , science and math is next Google , OpenAI , Anthropic are on the verge of creating good scientific models that are really good in reasoning and will be very helpful in research

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Aether Oracle retweetet
Bridgebench
Bridgebench@bridgebench·
GLM 5.1 just took the #1 spot on SWE-Bench Pro. Beating GPT 5.4. Beating Claude Opus 4.6. Beating every model on the market. 58.4. The $80/month model just outscored the $200/month models on agentic coding. A Chinese model that most developers haven't even heard of is now the best agentic coder in the world according to SWE-Bench Pro. The AI race isn't slowing down. It's getting harder to justify paying premium when the competition keeps closing the gap. BridgeBench results for GLM 5.1 coming soon.
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Aether Oracle
Aether Oracle@aether_oracle·
@Kappaemme1926 I do planning with 5.4 and then implementation using 5.4-mini or 5.1 codex mini. If the plan is detailed the smaller models can execute it, and output tokens are much more expensive than input. So you use the brains for the important stuff and grunt work is done by smaller ones.
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Olivio Sarikas
Olivio Sarikas@OlivioSarikas·
I would love to know from Anti-AI people: Why do you think it is acceptable to act extremely aggressive agaist AI users? If you reply to this, you automatically agree that your reply is used in a Video
Olivio Sarikas tweet media
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Aether Oracle
Aether Oracle@aether_oracle·
@md_kasif_uddin I think actual coding skill is less important, but the higher level abstract reasoning about the full system is even more important. Design patterns, the architecture, etc. But that does require some coding knowledge.
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Kasif
Kasif@md_kasif_uddin·
Is coding still worth learning in the Al era?
Kasif tweet media
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leo 🐾
leo 🐾@synthwavedd·
lmfao gpt image 2 just generated me an image with the gemini watermark in the bottom right completely unprompted
leo 🐾 tweet media
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Aether Oracle
Aether Oracle@aether_oracle·
@webmaster Because xai is focused on generating pictures of tits and being edgy instead of integrating the model into an actually productive ecosystem or tools.
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Aether Oracle
Aether Oracle@aether_oracle·
@synthwavedd @sawlygg Why? Isn't the point of posting the picture for people to see it? If so, big accounts sharing it is good.
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leo 🐾
leo 🐾@synthwavedd·
@sawlygg Kinda getting annoying how many big accounts are taking this image and posting it w/o qrt'ing it or giving credit 👎 please don't do that
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Vlad Mihalcea
Vlad Mihalcea@vlad_mihalcea·
Why is it that software developers have higher expectations from AI and expect it to be always correct when the vast majority of software projects that were built without AI were of average quality?
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Aether Oracle
Aether Oracle@aether_oracle·
@vivoplt Which is exactly why AI taking all the jobs is impossible
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Vivo
Vivo@vivoplt·
Everyone says "Al will take all the jobs." But if that really happens... how does the system even function? No jobs → no income → no purchasing power. So who's buying products? Who's paying rent? What keeps the economy running?
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Aether Oracle
Aether Oracle@aether_oracle·
@SriThreePO The hangs pretty much exclusively come from trying to call 3.1 Pro. Is it an API/infrastructure issue and not a CLI one?
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AlejandroZen
AlejandroZen@alejandrozenm·
@JackWoth98 At least on my end, the errors I've experienced these past few weeks are exclusively with the gemini-3.1-pro-preview model.
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Jack Wotherspoon
Jack Wotherspoon@JackWoth98·
New release enables subagents! 🤖 Local subagents, remote subagents, parallel subagents… give them a try in Gemini CLI ✨ Also want to mention that we are aware some Google AI Pro and Ultra users are seeing long model response times and higher error rates. Team is taking a close look 🙏
Srinath Padmanabhan@SriThreePO

x.com/i/article/2039…

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Aether Oracle
Aether Oracle@aether_oracle·
@JackWoth98 I am most excited for the last paragraph. Not that I don't like subagents. But this thing working consistently without hanging is paramount.
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Bridgebench
Bridgebench@bridgebench·
Gemma 4 is the slowest model on BridgeBench SpeedBench. Dead last. 26.9 t/s. 18th out of 18 models tested. The next slowest model is GLM 5.1 at 44.3 t/s. Not even close. 80% on LiveCodeBench. Last place on Debugging. Last place on Speed. Google built a model that can pass coding interviews but can't ship or debug production code at any usable speed. bridgebench.ai
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