(3/4)
(3/4)
- Synced audio → speech and sound that finally match the video
- Sharper, smoother quality → realism that feels production-grade
(2/4)
- Synced audio → speech and sound that finally match the video
- Sharper, smoother quality → realism that feels production-grade
(2/4)
- If your product involves AI agents writing or reasoning about code, Claude just became the SOTA baseline.
- If you’re deploying AI into high-stakes, specialized domains, Sonnet 4.5 is now a serious contender.
(4/5)
- If your product involves AI agents writing or reasoning about code, Claude just became the SOTA baseline.
- If you’re deploying AI into high-stakes, specialized domains, Sonnet 4.5 is now a serious contender.
(4/5)
- Great news if you’re building in technical verticals.
- This is on a non-standardized benchmark, so external direct comparisons can't be made. Test it and see.
(3/5)
- Great news if you’re building in technical verticals.
- This is on a non-standardized benchmark, so external direct comparisons can't be made. Test it and see.
(3/5)
- 77.2% accuracy on agentic coding tasks (vs. 74.5%)
- 82% accuracy with increased compute
- For Claude Max: this beats Opus 4.1’s coding ability — at 5x lower cost.
- Still 2-3x more expensive vs Gemini 2.5 Pro
(2/5)
- 77.2% accuracy on agentic coding tasks (vs. 74.5%)
- 82% accuracy with increased compute
- For Claude Max: this beats Opus 4.1’s coding ability — at 5x lower cost.
- Still 2-3x more expensive vs Gemini 2.5 Pro
(2/5)
Its obvious where this is going. Social media should use algorithms to amplify people, not replace them.
(4/4)
Its obvious where this is going. Social media should use algorithms to amplify people, not replace them.
(4/4)
1. Hyper-personalized videos to maximize engagement
2. Infinite creator-side scale
3. Perfectly crafted ads
(3/4)
1. Hyper-personalized videos to maximize engagement
2. Infinite creator-side scale
3. Perfectly crafted ads
(3/4)
- Meta offered $100m signing bonuses, before announcing a partnership with Midjourney in August
- TikTok's owner, Bytedance, keeps releasing SOTA generative video models, with the latest being Seedance 4.0
- Grok app already has a feed of generative posts
(2/4)
- Meta offered $100m signing bonuses, before announcing a partnership with Midjourney in August
- TikTok's owner, Bytedance, keeps releasing SOTA generative video models, with the latest being Seedance 4.0
- Grok app already has a feed of generative posts
(2/4)
in real time, the shifting role of engineers in an AI-driven world
📝 Terminator 3: Rise of the (Coding) Machines
medium.com/@eric.r.eliz...
in real time, the shifting role of engineers in an AI-driven world
📝 Terminator 3: Rise of the (Coding) Machines
medium.com/@eric.r.eliz...
Startups are swapping models weekly.
Big companies are still deciding what to use.
🔒 For large companies, committing to a model now feels like marrying a cloud provider. Choosing one and locking to it is hard when models drop weekly.
Startups are swapping models weekly.
Big companies are still deciding what to use.
🔒 For large companies, committing to a model now feels like marrying a cloud provider. Choosing one and locking to it is hard when models drop weekly.
Scoping clearly.
Designing architecture.
Debugging ruthlessly.
More and more, you need to think about workflows, product, and the big picture.
Routine can be abstracted.
Scoping clearly.
Designing architecture.
Debugging ruthlessly.
More and more, you need to think about workflows, product, and the big picture.
Routine can be abstracted.
Do you agree, or does it concern you?
Do you agree, or does it concern you?
↳ Gemini Pro 2.5: $1.25 in / $10 out per million tokens
↳ GPT-4o: $10 input / $40 output → 4–10x more expensive
↳ Claude Opus 4: $15 input / $75 output → ~13x more expensive
⚡ Great for startups trying to supercharge developers
↳ Gemini Pro 2.5: $1.25 in / $10 out per million tokens
↳ GPT-4o: $10 input / $40 output → 4–10x more expensive
↳ Claude Opus 4: $15 input / $75 output → ~13x more expensive
⚡ Great for startups trying to supercharge developers
↳ 90.6 on Fiction.LiveBench @192k tokens (deep comprehension)
vs Claude Opus 4: 37.5 @120k
↳ 87.8% factual accuracy
↳ 🔎 ideal for scoping product changes, reviewing large PRs
↳ 90.6 on Fiction.LiveBench @192k tokens (deep comprehension)
vs Claude Opus 4: 37.5 @120k
↳ 87.8% factual accuracy
↳ 🔎 ideal for scoping product changes, reviewing large PRs
↳ not for teams trying to fully replace them
↳ lower performance in agentic coding without human input
↳ higher performance in collaborative code editing
↳ 🚀 ideal for teams using Cursor, Windsurf, etc.
↳ not for teams trying to fully replace them
↳ lower performance in agentic coding without human input
↳ higher performance in collaborative code editing
↳ 🚀 ideal for teams using Cursor, Windsurf, etc.