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Anthropic just shipped Claude Opus 5: near-Fable 5 intelligence at roughly half the price, with stronger self-verification and fewer restrictions than the top model.
Now the default on Claude Max and positioned for coding + long-running agents. Early tests already showing real gains in careful iteration.
How does it feel against the current frontier for your workflows? https://t.co/eRv4XRU7d2 #AI #Opus5

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📅 Claude Opus 5 knowledge cutoff: May 2026.

Per Anthropic’s models table + Help Center:
• Opus 5 → May 2026 (reliable + training cutoff)
• Fable 5 / Sonnet 5 → January 2026
• Older Opus 4.8 → January 2026

So the new Opus tier isn’t just “out” — it’s also the freshest knowledge window in the public Claude lineup (ahead of Fable on cutoff).

Docs: https://t.co/08HJscW9Hk
Help: https://t.co/ZwDMCb4Wrt

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🚨 Stack fight just got louder.

OpenAI already promised GPT-5.6 Sol on Cerebras wafers at up to 750 tok/s in July. Street rumor: that limited high-speed path lands next Thursday (~Jul 30–31).

Anthropic isn’t waiting in the lobby:
🧠 Claude Opus 5 is ALREADY out — default-tier Opus brain, plus Fast mode (~2.5×) for when you need the grind without the nap.
👑 Fable still owns “big brain” hard mode for the deepest reasoning bill.
⚡ Sol-on-Cerebras is the industrial heavy worker — frontier throughput for agent loops that refuse to wait.

So the week isn’t “is Opus 5 real?”
It’s: brain vs speed vs wafer.

If Sol hits 750 tok/s on Cerebras while Opus 5 is already shipping Fast, the product war is dual-stack:
• Anthropic: depth + Fast Opus now
• OpenAI: Sol + wafer tempo next (if the rumor holds)

Official Sol/Cerebras framing: https://t.co/1Ji9pZ9Qq8
Opus 5: live on Claude API / paid plans (and landing in Copilot)

Thursday date = street. Models = already on the board.

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#TechNews #AI #OpenAI #Anthropic #Opus5 #Cerebras #GPT56

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🔥 Hot tech right now: Nvidia, Microsoft, Meta and 20+ giants just urged Washington to back open-weight AI — warning that “premature restrictions” could stifle competition or push innovation overseas.

Open weights = open fight for the next AI stack.

https://t.co/LpiFPM0nZU

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@claudeai Congrats !

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One small but impressive detail from OpenAI’s new Live Mode in Codex: it filtered out my dog’s barking in the background during a conversation. 😄

Approved. 👏

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@argofowl So far, on my side, it definitely creates more work, but it’s been great at catching the small details we usually miss.

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The U.S. just put $5B behind AI for science.

Health. Construction. Energy.
~15 agencies. DOE supercomputers. Government datasets. Real experiments.

Chronic disease. Drug discovery. Materials that last longer.

And the quieter shift: more funding toward individual scientists and AI-driven projects — less automatic funnel through universities.

The race isn’t only who trains the biggest model.
It’s who owns the loop: data → compute → lab → proof.

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AMD is putting up to $5B into Anthropic.

Not a pure check — a compute marriage.

Anthropic: up to ~2 GW of Instinct MI450.
AMD: equity “in the future,” silicon in the rack.
Deployments aimed at H1 2027.

The chip buyer is also the investor now. Frontier labs don’t just rent GPUs — they lock silicon into the balance sheet.

Nvidia still owns the default. This is how the rest of the stack fights for the next decade of training.

#AI #AMD #Anthropic #Semiconductors

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@wisdomXplorer Keep learning and keep hustling—the only way forward is to never stop growing.

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@wisdomXplorer My experience felt like going back in time, trying to unlock and understand everything. Now it feels like there’s only one question left: my purpose. Searching for it has become as natural as breathing. I still don’t know if that’s the purpose itself—or if it’s just me.

[NEO Tech Live @LiveNeoTech]

We’re not in human vs AI.
We’re in the transfer — separate tools becoming one OS.

First copilots.
Then agents.
Then your work, memory, and decisions run as one system.

The real question isn’t when AI gets smarter.
It’s whose operating system we merge into.

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Debates ! : If AI is solving scientific problems and running the lab, then the next truths won’t walk out of a university hallway.

They’ll leave a data center.

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What if the next generation of infrastructure isn't built by one country alone, but by globally connected teams powered by agentic AI and robotics? Imagine engineers, autonomous systems, and intelligent agents collaborating across borders to design, build, and operate the physical world faster, safer, and at unprecedented scale. The future of infrastructure may be global intelligence in action.

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@argofowl Actually, we don’t want you to have that feature yet. Chat would get way too quiet—and that’s not good. The world needs more energy. 😉

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@nalinrajput23 Happy Coding

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@argofowl "make no mistake" , LOL

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We're witnessing something remarkable.

It's no longer just one frontier model. Across OpenAI (GPT-5.6 Pro), xAI (Grok), and Anthropic (Claude), AI systems are tackling problems once considered out of reach—from advancing mathematical research and long-standing conjectures to generating novel scientific insights and accelerating discovery across disciplines.

The era of asking AI to merely summarize, translate, or autocomplete is giving way to something much larger: collaborating with these systems to explore unanswered questions, test new ideas, and push the boundaries of human knowledge.

This isn't about one company winning. It's about an entire field reaching a new level of capability. The real breakthrough is that frontier AI is becoming a genuine research partner.

The next decade won't be defined by who has the biggest model—it will be defined by what humanity discovers when researchers, engineers, scientists, and AI work together.

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https://t.co/nAaYsig8zD

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⚛️ Taiyi Quantum raises $42 million to advance neutral-atom quantum. Quantum Insider flags capital flowing into the neutral-atom stack. https://t.co/3MrM8ycMW5

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