Introducing TimesFM-3, a state-of-the-art time series foundation model that enables accurate multivariate time series forecasting in a single forward pass, significantly outperforming other forecasting models across major benchmarks.
More on the blog →https://t.co/uSlnIdUJ4Q
Sam Altman (CEO of Open AI):
"You no longer need to write prompts."
In just 38 minutes, he explains how to use ChatGpt at a level that most people can't even imagine.
It's talk he gave to stanford students. A friend sent me the recording last night.
After watching it, I realized I was only taking advantage of about 15% of what this tool can really do.
Watch it in full and then read the guide l leave below on how to create a system that prompts itself.
Andrej Karpathy spent 8 years working at OpenAI and Tesla
Last week, he condensed everything he knows into one free 2-hour lecture
People spend $15K on bootcamps that teach less than half of this
You probably don't have two hours to watch it right now
Just don't let it disappear in your feed
Save it, watch it later, then read the guide below and build your first loop
This is the best 2 hours on graph engineering ever recorded, Andrew Ng breaking down how to build agentic knowledge graphs from scratch:
9:14 - your first working agent
33:11 - how loops actually work
1:02:46 - turning loops into working graphs
1:30:15 - agents that improve their own code
1:49:05 - a system that runs the whole thing for you
I've seen $500 courses that teach less than this video alone.
Watch it, then take it further with my step-by-step guide on graph engineering below.
Google's team just dropped a 9-page PDF on Harness Engineering - one formula replaced prompt engineering:
the twist: same Claude Sonnet, same benchmark - change only the harness
the formula: Agent = Model + Harness
here's the playbook in 6 steps:
step 1 → add guides - AGENTS.md, rule files, constraint docs - each line is a past agent failure turned into a permanent fix
step 2 → add sensors - linters, tests, validation scripts the agent runs on its own output before a human sees it
step 3 → build the agentic loop - plan, execute, verify, fix - bounded retries, budget caps, escalation when stuck
step 4 → externalize memory - the model forgets every session. the harness remembers state, decisions, and artifacts across all of them
step 5 → enforce permissions - which tools, how many writes, what needs approval. the model doesn't enforce safety. the harness does
step 6 → wire observability - track every tool call, cost, retry. trip wires fire when behavior drifts
the result: your agent stops being a demo and starts being infrastructure - every failure makes the system permanently better, not just the next conversation
this 9-page PDF is what comes after prompt engineering and context engineering
bookmark and build the full system from the article below ↓
@USPS@USPSHelp Can you please check why it is stuck for the last 13 days? This is unusual a bit. No update on @IndiaPostOffice side as well. I appreciate a response. Thanks.
अब युवाओं को यह चुनौती आ चुकी है पुलिस को लेकर हर कोई देख लो हैरान हो जाओगे।
चेहरा स्कैन करके युवाओं का आपराधिक रिकॉर्ड जांच कि��ा जा रहा है जिसका पहले से अपराधिक रिकॉर्ड हैं दंगा करने का उपद्रव करने का उनके खिलाफ कानूनी कार्यवाही की जा रही है ।।
यह चुनौती @CJP_for_India के लिए बहुत बड़ी दिक्कत खड़ी करेगी अब क्योंकि CJP वा��े भी आपराधिक रिकॉर्ड वालो का सपॉर्ट करते हैं तो उल्टा cjp वालो के खिलाफ कार्यवाही होगी कि तुम जानबूझकर ऐसे आपराधिक मामले वालो से उपद्रव करवाये हैं।
बहुत दिमाक से खेल रही है पुलिस अब भाजपा का गुस्सा अब बदले की भावना में है और यह कही युवाओ के भविष्य को लेकर काफी महंगा पड़ने वाला है देखते जाओ
Gen Z is the first generation whose IQ is lower than that of the previous generation. That's why protests like these anti-national CJP protests are happening in the country.
Highest ever mileage of my 7-seater hybrid with e20 95RON petrol. Driven from Bannerghatta Road to Mysore Road, along the NiCE road in the last Friday morning. #Bangalore
Amazing @NexaExperience@Maruti_Corp and built by @Toyota_India