🐝 AGI Becoming A Buzzword

Hey folks,

OpenAI is walking back its “one model to rule them all” push. Just a week after GPT-5’s launch, GPT-4o is back as an option for all paying users, and the old “legacy models” toggle has returned to switch back to GPT-4.1, o3, and o4-mini, while the GPU-hungry GPT-4.5 stays Pro-only.

GPT-5 has also gained manual modes like Auto, Fast, and Thinking after complaints about routing glitches and uneven performance. Altman says GPT-4o isn’t going anywhere without plenty of warning, and teased a warmer, customizable GPT-5 personality in the works.

Let’s dive in..

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🆚 GPT-5 vs Claude Opus 4.1: What Coder’s Are Talking About

🐝 The Buzz: Composio just took a magnifying glass to GPT‑5 and Anthropic’s Claude Opus 4.1 in a real-world coding face-off, and both shine, but how you work might tip the scales toward one or the other, especially now that GPT‑5 brings multimodal flair, speed, and lower token costs.

The Details:

• GPT‑5 flexes a massive ~400K token context window, double what Opus 4.1 offers and charges way less per token.

  (about $1.25 input / $10 output vs $15 / $75)

• GPT‑5 feels nimble, creative, and easy to iterate with which is perfect for prototyping or working across text, image, and code.

• Claude Opus 4.1 responds like a reliable senior dev with polished code, fewer edits, but comes at a steep token price.

💡 Takeaway: GPT-5 delivers real speed, affordability, and flexibility especially for creative, multimodal, or get-stuff-done-yesterday workflows.
Claude Opus 4.1 plays an ace in high-risk, high-complexity enterprise tasks prized for precision, consistency, and long-haul reliability.

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🤖 AGI Is Now Pointless, Says Sam Altman.

🐝 The Buzz: When asked about AGI during a CNBC “Squawk Box” appearance, OpenAI’s Sam Altman dropped the bomb: the term “AGI” is losing relevance and isn’t all that useful anymore. AGI used to be the AI gold medal, something ambitious to chase. However, the consensus is shifting: let’s stop chasing a fuzzy target and invest in AI that actually solves real problems today.

• AGI - Too fuzzy to trust: Sam Altman pointed out that the term "AGI" is overloaded with meanings and no one can land on a single, clear definition. That ambiguity makes the concept less helpful than it should be.

• Even measures of progress are shifting: Altman himself uses AGI to mean “automating a large chunk of tasks,” but he admits that goalposts shift depending on how work itself changes over time.

• Progress is gradual, not a binary switch
  Rather than chasing a “we’ve reached AGI” light switch, Altman prefers to see AI growth as a continuum with more capability layered on over time.

• Hype obscures the tech’s limits
  Researchers argue that hyped-up AGI talk muddies the waters and invites overpromises from AI companies. As one expert noted, not only is public understanding compromised, but real talk about current AI’s limits gets lost in the noise.

💡 Takeaway: AGI as a buzzword is losing street cred. Altman kicking it to the curb signals a turning point that AI is moving past sci-fi talk and toward grounded, ethical, practical progress.

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🐝 AI buzz bits

🚀 Claude Sonnet 4 just leveled up by supporting a whopping 1 million tokens of context, enabling developers to analyze massive codebases and synthesize documents like never before.

💥 Perplexity just threw down a jaw-dropping $34.5 billion bid for Google Chrome.

🌌 Skywork AI just unleashed Matrix-Game 2.0, an open-source model that enables real-time interactive video generation at 25 FPS, perfect for creating expansive virtual worlds with seamless immersion and dynamic control.

📝 Handshake is on the prowl for a “Vibe Tweeter” and social copywriter which appears to be another Vibe industry that’s up and coming. 

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🤘 TGIF