debayan

@roydanroy I would just upload papers on github.

Steep penalties for submitting AI slop to the arXiv.

Figure 03 just finished an 8-hour work livestream, imperfect, but already good enough to replace a lot of repetitive warehouse labor. 🤖 @adcock_brett put a team of F.03 robots on a factory-style package sorting task for a full shift. The job was simple and brutal: detect the barcode, pick the package, flip it label-side down, place it on the conveyor, repeat. Soft poly bags, rigid boxes, moving belts, messy orientations. That is exactly the kind of boring physical work factories pay humans to do all day. Early in the stream, the system handled 230 packages in 10 minutes. That is roughly 2.6 seconds per item — already in human-speed territory for this narrow workflow. The more important part: it was not one robot pretending to work all day. It was a team of Figure 03 robots keeping the line running. When one robot ran low on battery, it left the station and another robot stepped in. That is the real factory signal: not just autonomy, but shift continuity. F.03 is rated for about 5 hours of runtime, so the 8-hour result depends on fleet orchestration, charging, and handoff. That matters more than a single clean demo. The stream was not perfect. There were pauses, hesitations, missed orientations, and small recovery moments. Good. A perfect short clip hides failure. An 8-hour livestream exposes the parts that actually matter: endurance, recovery, throughput, and whether the robot can stay useful after the novelty wears off. Figure says this was fully autonomous on Helix-02, with zero human intervention. For logistics and manufacturing, that is the threshold worth watching. Not “can it do one impressive task?” Can it keep doing the boring task for an entire shift? Figure is not showing a general human replacement yet. But for structured, repetitive factory work, the gap just got much smaller. The timing is also interesting: Figure says BotQ has already delivered 350+ F.03 units and reached a 1 robot/hour production cadence. And F.04 is now in full design lock, with parts starting to ship. The next test is obvious. 8 hours was the proof of endurance. 24/7 is the proof of labor economics.

@SauravDassss That is victory indeed!

#BREAKING: JUSTICE SWARANA KANTA SHARMA TRANSFERS THE CBI-ARVIND KEJRIWAL EXCISE POLICY CASE TO A DIFFERENT BENCH! “Any other court can hear the matter but only this court can draw contempt proceedings,” Justice Sharma said.

@MarioNawfal I spent €3600 but failed to get the driving license. Driving school screwed up exam appointments and I could not get a second appointment after I failed my first. I have to spend a similar amount again.

🇩🇪 Germany in 2016: Cheap food, cheap fuel, affordable living. Germany in 2026: -€14 olive oil -€3,600 driving licenses -Parking prices exploding -Basic groceries nearly doubled A lot of Germans feel like they’re working more just to maintain a lifestyle that used to be normal. The scary part is how fast people adapted to it. 10 years ago this would’ve caused outrage. Now it’s just called “the new reality.”

@manoj_216 Rahul Gandhi seems like a decent human being.

Name one political leader you feel is honest and human - just one !

@Gss_Views She will give her judgement anyway and nothing will happen. Mass support or media support is lacking so no one will really take notice. This is how something like SIR can also be forced without any objections from media etc.

@LiveLawIndia Very interesting outcomes expected in this case!

#BREAKING Trinamool Congress tells #SupremeCourt that SIR deletions materially affected election results in #WestBengal. Sr Adv Kalyan Banerjee says the winning margin in 31 seats was less than the deletions due to SIR adjudication. He says his client lost by 862 votes, whereas the deletions in the constituency were over 5000. Bandhopadhyay says the vote gap between AITC and BJP was about 32 lakhs, and 35 appeals are pending against deletions. Bench of CJI Surya Kant and Justice Joymalya Bagchi tells Bandhopadhyay to file an application. ECI says the remedy is to file election petitions. Sr Adv Menaka Guruswamy tells the bench that the appellate tribunals might take 4 years to clear the appeals at the present rate.

Several interesting #ICML papers from IISc Bangalore authors.

Zero-to-CAD 1M Zero-to-CAD is a large-scale dataset of 1,000,000 executable CAD construction sequences generated by an LLM operating inside a feedback-driven CAD environment. Datasets: huggingface.co/datasets/ADSKA… Paper: arxiv.org/pdf/2604.24479

I know some people, who if you inform 2 weeks in advance about a deadline, will always miss it, but if you inform them 1 day before the deadline, they will certainly deliver.

We are releasing OptimusKG, a modern multimodal knowledge graph. Learn more at: optimuskg.ai Graph AI has enabled advances across science and medicine (e.g., see our review at doi.org/10.1146/annure…). Integrating KGs with LLMs improves generalization, planning, reasoning, and zero-shot learning, and can enable RL reward modeling for reasoning models. Graph AI depends on high-quality underlying graphs. For example, in 2023, our lab (@payal_chandak, @KexinHuang5) introduced PrimeKG, which has now been downloaded 116K+ times and cited 450+ times. However, current biomedical KGs suffer from several limitations: ⏱️ Out-of-date ⚠️ Lack of standardized schema 🛠️ Unavailable or irreproducible construction code 📊 No metadata about nodes and edges 🤷‍♂️ No provenance information 📋 No quality checks We introduce OptimusKG, a modern open-source multimodal biomedical knowledge graph that integrates molecular, anatomical, clinical, and environmental data. OptimusKG has reproducible, modular, FAIR-compliant code; an ontology-grounded, interoperable schema; rich metadata; and tracked provenance. ✅ 190K nodes across 10 types ✅ 21.8M edges across 26 types (5.5x greater than PrimeKG) ✅ 110.3M properties across 150 keys ✅ 65 source datasets and 18 ontologies A frontier multimodal research agent (@EdisonSci) assessed whether data points in OptimusKG are supported by evidence from the scientific literature, identifying support for 70.0% of sampled true edges; by contrast, 83.4% of sampled false edges had no supporting evidence. OptimusKG also captures experimental data that may precede synthesis in the scientific literature. To learn more about OptimusKG and download the graph: 🌐 Website and documentation: optimuskg.ai 👨‍💻 Code: github.com/mims-harvard/O… 📎 Pre-print: arxiv.org/abs/2604.27269 🐍 Python client: pypi.org/project/optimus (run pip install optimuskg) 📩 Dataset: doi.org/10.7910/DVN/IY… We are excited for the community to use and build upon this resource to enable innovation in graph AI. More below! 👇🏽 1/6

🇫🇷 France launches one-euro meals for all university students French university canteens have begun offering one-euro meals to students regardless of income, in a measure designed to address financial hardship. The price, which covers a starter, main course and dessert, was previously only available to those with low incomes or receiving financial aid #geneu_AFP

UK might cross German GDP in the next 5 years purely due to better AI talent.

The creators of SWE-Bench just dropped a really simple new benchmark every LLM gets 0% on. ProgramBench asks: can models recreate real executable programs (ffmpeg, SQLite, ripgrep) from scratch with no internet? We are far from saturated on model quality.

A European startup that built a foundational model with only $9m has just been acquired for $1bn+. The company - @prior_labs, has built a state-of-the-art foundation model for tabular data. It was founded by @FrankRHutter, @noahholl and Sauraj Gambhir, and only announced a $9m pre-seed led by @balderton (@Jameswise) last year. Tabular data, i.e. structured data in tables, spreadsheets, and databases, plays an essential role is many critical industries, but was neglected in the early advances in AI that focused on text and images. Today SAP has announced that it is acquiring the company for $1bn+. To date Prior Labs has only raised $9m which means it will likely be a great result for its founders, employee and early investors who include Balderton, @guypod, @Thom_Wolf, @petersarlin. It's great to see a good exit for the German tech ecosystem and even better to see it staying in Europe! It also shows how much there is to play for in AI. The team have built an insanely high quality, hyper-focused model and have got a unicorn outcome on just under a year. Amazing news!

We are organising a KGQA challenge this year at ISWC 2026. Participation is simple: 1. Join groups.google.com/g/wikikgqa-cha… 2. Read codabench.org/competitions/1… and register as a participant there. 3. For further details read wikikgqa.org

Former German Chancellor Scholz: We were an engineers’ country. Now we’re a lawyers’ country. Other countries… build a national railway system in 20 years. We cannot build a commuter line in 20 years.

A key finding from AIIMS New Delhi research highlights that increased screen time in children under one year of age is associated with a higher risk of autism by the age of three. The study suggests that greater screen exposure may increase the likelihood of autism-related concerns. Experts recommend keeping children below 18 months away from screens. Dr. Shefali Gulati, Professor, Department of Pediatrics, #AIIMS #ChildHealth #ScreenTime #ParentingTips #AutismAwareness @aiims_newdelhi

@anubhavgupta_ji @PranavaBhardwaj Tu mat de bhai koi fark nahi padna hai