I compared Anthropic vs OpenAI models: 4 of 7 aren't worth it. Another is cheaper and better.
❌ Claude Fable 5.1, Sonnet 5.5
❌ GPT-6 Astra, GPT-5.6 Terra
✅ GPT-6 Luna: simple tasks
✅ GPT-6.1 Sol: most work
✅ Opus 5.5 high+: top tier
Data: Artificial Analysis (2026/10/05)
Built my own LLM cost‑vs‑quality chart (lines per providers).
What got me:
→ GPT‑6 Astra ≈ Claude Fable, at half the cost
→ Xiaomi MiMo: near‑frontier for $0.13 (!!!), and MIT (open weights, free)
Data as of 21 Sep 2026. Data source: Artificial Analysis.
Access to AI is no longer a competitive advantage. Everyone has it.
Strip away the implementation detail and three elements remain.
Business systems accumulate data. Knowledge repositories accumulate knowledge.
Only one of them compounds.
At the annual "Data for Breakfast” event, one always realizes how @SnowflakeDB has moved solidly forward again 📈 And I'm looking forward to the release of #SnowflakeCopilot 🌪️
Hands-on experience with data pipelines using #Informatica and #Snowflake: because Informatica is cumbersome, we try to replace parts of the data pipelines with Snowflake Streams and Tasks wherever possible. The victory will come when the last part of Informatica is removed.
@INFA_Cloud#DataIntegration: I didn't know about it until today. If there is a "Validation Error" within the "Expression Editor", just click on the red rectangle. The reason for the error is then displayed.
The "Job Performance" chart shows how overhead-intensive #IICS is: roughly two-thirds overhead compared to one-third for dynamically loading data from #SAPS4 into #SNOWFLAKE
3 basic points in #IICS#DataIntegration: [1] Use the In-Out parameters in "SetVariable" and at the same time in the Target in "Field Mapping". [2] Exclude records flowing to a Dummy Target (using "Append if Exist"). [3] Have at least one row on Source to perform some logic.
LESSONS LEARNED FROM TAKING THE ONLINE EXAM: it is harder to set up a computer and a certification app than to prepare for an exam. @Oracle_Edu Online Certification Solution works well, while @PearsonVUE is a nightmare! Finally got it: https://t.co/XTMsajvXJ2
@dansvobodacz@ZwarPiet_Energy@Panaczek1@David_Marek Díky. Rozhoduji se mezi FVE o výkonu 6 nebo 9,9 kWp. Roční spotřebu domu máme 16,5 MWh. Dle propočtů by při 9,9 kWp FVE byly v létě velké přebytky. Ještě si musím propočítat, jak je to s virtuální baterkou. Máte z FVE nějaké statistiky, kolik generovala energie poslední rok?
@dansvobodacz@ZwarPiet_Energy@Panaczek1@David_Marek Tzn. FVE máte o výkonu něco kolem 5 kWp? Odvozeno tak, že jsem si vypočítal, že v červenci byly velmi slunečné dny, takže zhruba FVE mohla vyrábět v průměru 3 kWh 10 hod denně, tj. za den 30 kWh, za měsíc něco kolem 900 kWh.
Will you be certified through @PearsonVUE? If you're going to take your exams through #OnVue, DON'T! My experience: 5 exams, OnVue has worked only 2 times. Certifications only through test centers! Moreover, I've waited 12 days for a response from their customer service. So bad!